diff --git a/.gitignore b/.gitignore index a350dce..d6915cb 100644 --- a/.gitignore +++ b/.gitignore @@ -116,7 +116,8 @@ env/** pandas_ta/_wrapper.py # twopirllc stuff -AlphaVantageAPI +AlphaVantageAPI/ + data/datas.csv data/GLD_D_tv.csv data/SPY_5min.csv @@ -129,6 +130,7 @@ data/tulip.csv examples/cache.sqlite examples/taplot.py +examples/alpaca_trader.py examples/ChartTA.ipynb examples/charting.ipynb examples/ib_trader.ipynb diff --git a/Makefile b/Makefile index acfb2c8..883041d 100644 --- a/Makefile +++ b/Makefile @@ -1,14 +1,27 @@ -clean: - find . -name '*.pyc' -exec rm -f {} + +.PHONY: all +all: + make test_utils + make test_ta + make test_ext + make test_strats caches: find ./pandas_ta | grep -E "(__pycache__|\.pyc|\.pyo$\)" +clean: + find . -name '*.pyc' -exec rm -f {} + + init: pip install -r requirements.txt -ti: - python -m unittest -v tests/test_indicator*.py +test_ext: + python -m unittest -v tests/test_ext_indicator_*.py -ts: - python -m unittest -v tests/test_strategy.py \ No newline at end of file +test_strats: + python -m unittest -v tests/test_strategy.py + +test_ta: + python -m unittest -v tests/test_indicator_*.py + +test_utils: + python -m unittest -v tests/test_utils.py \ No newline at end of file diff --git a/README.md b/README.md index 15469b8..6e2e497 100644 --- a/README.md +++ b/README.md @@ -1,107 +1,88 @@ + + +Pandas TA - A Technical Analysis Library in Python 3 +================= + [![Python Version](https://img.shields.io/pypi/pyversions/pandas_ta.svg)](https://pypi.org/project/pandas_ta/) [![PyPi Version](https://img.shields.io/pypi/v/pandas_ta.svg)](https://pypi.org/project/pandas_ta/) [![Package Status](https://img.shields.io/pypi/status/pandas_ta.svg)](https://pypi.org/project/pandas_ta/) [![Downloads](https://img.shields.io/pypi/dm/pandas_ta.svg?style=flat)](https://pypistats.org/packages/pandas_ta) - -# **Pandas TA** -# Pandas Technical Analysis Library in _Python 3_ ![Example Chart](/images/TA_Chart.png) -_Pandas Technical Analysis_ (**Pandas TA**) is an easy to use library that is built upon Python's Pandas library with more than 120 Indicators and Utility functions. These indicators are commonly used for financial time series datasets with columns or labels: datetime, _open_, _high_, _low_, _close_, _volume_, et al. Many commonly used indicators are included, such as: _Simple Moving Average_ (**sma**) _Moving Average Convergence Divergence_ (**macd**), _Hull Exponential Moving Average_ (**hma**), _Bollinger Bands_ (**bbands**), _On-Balance Volume_ (**obv**), _Aroon & Aroon Oscillator_ (**aroon**), _Squeeze_ (**squeeze**) and **many more**. -**Pandas TA** has three different ways of processing Technical Indicators as described below. The **primary** requirement to run indicators in [Pandas DataFrame Extension](https://pandas.pydata.org/pandas-docs/stable/extending.html) mode, is that _open, high, low, close, volume_ are **lowercase**. Depending on the indicator, they either return a named Series or a DataFrame in uppercase underscore parameter format. For example, MACD(fast=12, slow=26, signal=9) will return a DataFrame with columns: ['MACD_12_26_9', 'MACDh_12_26_9', 'MACDs_12_26_9']. +_Pandas Technical Analysis_ (**Pandas TA**) is an easy to use library that leverages the Pandas library with more than 120 Indicators and Utility functions. Many commonly used indicators are included, such as: _Simple Moving Average_ (**sma**) _Moving Average Convergence Divergence_ (**macd**), _Hull Exponential Moving Average_ (**hma**), _Bollinger Bands_ (**bbands**), _On-Balance Volume_ (**obv**), _Aroon & Aroon Oscillator_ (**aroon**), _Squeeze_ (**squeeze**) and **_many more_**. -## Pandas TA Issues, Ideas and Contributions +
-#### Thanks for trying **Pandas TA**! +# **Table of contents** -Please take a moment to read **this** and the rest of this **README** before posting any issue. + +* [Features](#features) +* [Installation](#installation) + * [Stable](#stable) + * [Latest Version](#latest-version) +* [Quick Start](#quick-start) +* [Help](#help) +* [Issues and Contributions](#issues-and-contributions) +* [Programming Conventions](#programming-conventions) +* [Pandas TA Strategies](#pandas-ta-strategies) + * [Types of Strategies](#types-of-strategies) +* [DataFrame Properties](#dataframe-properties) +* [Changes](#changes) +* [Indicators by Category](#indicators-by-category) + * [Candles](#candles-3) + * [Momentum](#momentum-34) + * [Overlap](#overlap-27) + * [Performance](#performance-3) + * [Statistics](#statistics-9) + * [Trend](#trend-15) + * [Utility](#utility-5) + * [Volatility](#volatility-12) + * [Volume](#volume-13) + -* ### [Comments and Feedback](https://github.com/twopirllc/pandas-ta/issues) - * Have you read the rest of **this** document? - * Are you running the latest version? - * ```pip install -U git+https://github.com/twopirllc/pandas-ta``` - * Have you tried the [Examples](https://github.com/twopirllc/pandas-ta/tree/master/examples/)? - * Did they help? - * What is missing? - * Could you help improve them? - * Did you know you can easily build _Custom Strategies_ with the **[Strategy](https://github.com/twopirllc/pandas-ta/blob/master/examples/PandasTA_Strategy_Examples.ipynb) Class**? - * Documentation could always use improvement. Can you contribute? - -* ### [Indicator or Feature Requests & Contributions](https://github.com/twopirllc/pandas-ta/issues) - * Please be as detailed as possible. Links, screenshots, and sometimes data samples are welcome. - * You want a new indicator not currently listed. - * You want an alternate version of an existing indicator. - * The indicator does not match another website, library, broker platform, language, et al. - * Can you contribute? + + -## __Features__ +
+ +# **Features** * Has 120+ indicators and utility functions. -* Easily add prefixes or suffixes or both to columns names. Useful for building Custom Strategies. -* __Extended Pandas DataFrame__ as 'ta'. * Indicators are tightly correlated with the de facto [TA Lib](https://mrjbq7.github.io/ta-lib/) if they share common indicators. +* Have the need for speed? By using the _strategy_ method, you get **multiprocessing** for free! +* Easily add _prefixes_ or _suffixes_ or both to columns names. Useful for Custom Chained Strategies. * Example Jupyter Notebooks under the [examples](https://github.com/twopirllc/pandas-ta/tree/master/examples) directory, including how to create Custom Strategies using the new [__Strategy__ Class](https://github.com/twopirllc/pandas-ta/tree/master/examples/PandaTA_Strategy_Examples.ipynb) -* A new 'ta' method called 'strategy'. By default, it runs __all__ the indicators or equivalent ta.AllStrategy. +
-## __Recent Changes__ -* A __Strategy__ Class to help name and group your favorite indicators. -* An experimental and independent __Watchlist__ Class located in the [Examples](https://github.com/twopirllc/pandas-ta/tree/master/examples/watchlist.py) Directory that can be used in conjunction with the new __Strategy__ Class. -and _Weighted Moving Average_. -* __Multiprocessing__ is automatically applied to df.ta.strategy() for __All__ indicators or a chosen __Category__ of indicators. -* Improved the calculation performance of indicators: _Exponential Moving Averagage_ -* Updated *trend_return* utility to return a more pertinenet trade info for a _trend_. Example can be found in the [AI Example Notebook](https://github.com/twopirllc/pandas-ta/tree/master/examples/AIExample.ipynb). The notebook is still a work in progress and open to colloboration. - - -## __Breaking Indicators__ -* _Stochastic Oscillator_ (**stoch**): Now in line with Trading View's calculation. See: ```help(ta.stoch)``` - -## __New Indicators__ -* _Squeeze_ (**squeeze**). A Momentum indicator. Both John Carter's TTM **and** Lazybear's TradingView versions are implemented. The default is John Carter's, or ```lazybear=False```. Set ```lazybear=True``` to enable Lazybear's. -* _TTM Trend_ (**ttm_trend**). A trend indicator inspired from John Carter's book "Mastering the Trade". -* _SMI Ergodic_ (**smi**) Developed by William Blau, the SMI Ergodic Indicator is the same as the True Strength Index (TSI) except the SMI includes a signal line and oscillator. -* _Gann High-Low Activator_ (**hilo**) The Gann High Low Activator Indicator was created by Robert Krausz in a 1998 -issue of Stocks & Commodities Magazine. It is a moving average based trend -indicator consisting of two different simple moving averages. -* _Stochastic RSI_ (**stochrsi**) "Stochastic RSI and Dynamic Momentum Index" was created by Tushar Chande and Stanley Kroll. In line with Trading View's calculation. See: ```help(ta.stochrsi)``` -* _Inside Bar_ (**cdl_inside**) An Inside Bar is a bar contained within it's previous bar's high and low See: ```help(ta.cdl_inside)``` - -## __Updated Indicators__ -* _Fisher Transform_ (**fisher**): Added Fisher's default **ema** signal line. To change the length of the signal line, use the argument: ```signal=5```. Default: 5 -* _Fisher Transform_ (**fisher**) and _Kaufman's Adaptive Moving Average_ (**kama**): Fixed a bug where their columns were not added to final DataFrame when using the _strategy_ method. -* _Trend Return_ (**trend_return**): Returns a DataFrame now instead of Series. -* _Average True Range_ (**atr**): Added option to return **atr** as a percentage. See: ```help(ta.atr)``` - - -## What is a Pandas DataFrame Extension? - -A [Pandas DataFrame Extension](https://pandas.pydata.org/pandas-docs/stable/extending.html), extends a DataFrame allowing one to add more functionality and features to Pandas to suit your needs. As such, it is now easier to run Technical Analysis on existing Financial Time Series without leaving the current DataFrame. This extension by default returns the Indicator result or it can append the result to the existing DataFrame by including the parameter 'append=True' in the method call. Examples below. - - - -# __Getting Started and Examples__ - -## __Installation__ (python 3) +**Installation** +=================== +Stable +------ +The ```pip``` version is the last most stable release. ```sh $ pip install pandas_ta ``` -## __Latest Version__ +Latest Version +-------------- +Best choice! ```sh $ pip install -U git+https://github.com/twopirllc/pandas-ta ``` -## __Quick Start__ using the DataFrame Extension +
+ # **Quick Start** ```python import pandas as pd import pandas_ta as ta # Load data -df = pd.read_csv("path/symbol.csv", sep=",") +df = pd.read_csv("path/to/symbol.csv", sep=",") # Calculate Returns and append to the df DataFrame df.ta.log_return(cumulative=True, append=True) @@ -116,136 +97,172 @@ df.tail() # vv Continue Post Processing vv ``` -## __Module and Indicator Help__ +
+# **Help** ```python import pandas as pd import pandas_ta as ta +# Create a DataFrame so 'ta' can be used. +df = pd.DataFrame() + # Help about this, 'ta', extension -help(pd.DataFrame().ta) +help(df.ta) # List of all indicators -pd.DataFrame().ta.indicators() +df.ta.indicators() # Help about the log_return indicator help(ta.log_return) ``` +
-## New Class: __Strategy__ -### What is a Pandas TA Strategy? -A _Strategy_ is a simple way to name and group your favorite TA indicators. Technically, a _Strategy_ is a simple Data Class to contain list of indicators and their parameters. __Note__: _Strategy_ is experimental and subject to change. Pandas TA comes with two basic Strategies: __AllStrategy__ and __CommonStrategy__. +# **Issues and Contributions** -* See the [Pandas TA Strategy Examples](https://github.com/twopirllc/pandas-ta/tree/master/examples/PandasTA_Strategy_Examples.ipynb) Notebook for more Examples including _Indicator Composition/Chaining_. +Thanks for trying **Pandas TA**! -### Strategy Requirements: +* ### [Comments and Feedback](https://github.com/twopirllc/pandas-ta/issues) + * Have you read **_this_** document? + * Are you running the latest version? + * ```$ pip install -U git+https://github.com/twopirllc/pandas-ta``` + * Have you tried the [Examples](https://github.com/twopirllc/pandas-ta/tree/master/examples/)? + * Did they help? + * What is missing? + * Could you help improve them? + * Did you know you can easily build _Custom Strategies_ with the **[Strategy](https://github.com/twopirllc/pandas-ta/blob/master/examples/PandasTA_Strategy_Examples.ipynb) Class**? + * Documentation could _always_ be improved. Can you help contribute? + +* ### [Indicator or Feature Requests & Contributions](https://github.com/twopirllc/pandas-ta/issues) + * Please be as **detailed** as possible. Links, screenshots, and sometimes data samples are welcome. + * You want a new indicator not currently listed. + * You want an alternate version of an existing indicator. + * The indicator does not match another website, library, broker platform, language, et al. + * Do you have correlation analysis to back your claim? + * Can you contribute? + +
+ +**Contributors** +================ + +_Thank you for your contributions!_ + +[alexonab](https://github.com/alexonab) | [allahyarzadeh](https://github.com/allahyarzadeh) | [codesutras](https://github.com/codesutras) | [DrPaprikaa](https://github.com/DrPaprikaa) | [FGU1](https://github.com/FGU1) | [lluissalord](https://github.com/lluissalord) | [maxdignan](https://github.com/maxdignan) | [pbrumblay](https://github.com/pbrumblay) | [SoftDevDanial](https://github.com/SoftDevDanial) | [YuvalWein](https://github.com/YuvalWein) + +
+ +**Programming Conventions** +=========================== + +**Pandas TA** has three primary "styles" of processing Technical Indicators for your use case and/or requirements. They are: _Conventional_, _DataFrame Extension_, and the _Pandas TA Strategy_. Each with increasing levels of abstraction for ease of use. As you become more familiar with **Pandas TA**, the simplicity and speed of using a _Pandas TA Strategy_ may become more apparent. Furthermore, you can create your own indicators through Chaining or Composition. Lastly, each indicator either returns a _Series_ or a _DataFrame_ in Uppercase Underscore format regardless of style. + +_Conventional_ +==================== +You explicitly define the input columns and take care of the output. + +* ```sma10 = ta.sma(df["Close"], length=10)``` + * Returns a series with name: ```SMA_10``` +* ```donchiandf = ta.donchian(df["HIGH"], df["low"], lower_length=10, upper_length=15)``` + * Returns a DataFrame named ```DC_10_15``` and column names: ```DCL_10_15, DCM_10_15, DCU_10_15``` +* ```ema10_ohlc4 = ta.ema(ta.ohlc4(df["Open"], df["High"], df["Low"], df["Close"]), length=10)``` + * Conventional Chaining is possible but more explicit. + * Since it returns a series named ```EMA_10```. If needed, you may need to uniquely name it. + +_Pandas TA DataFrame Extension_ +==================== + +Calling ```df.ta``` will automatically lowercase _OHLCVA_ to _ohlcva_: _open, high, low, close, volume_, _adj_close_. By default, ```df.ta``` will use the _ohlcva_ for the indicator arguments removing the need to specify input columns directly. +* ```sma10 = df.ta.sma(length=10)``` + * Returns a series with name: ```SMA_10``` +* ```ema10_ohlc4 = df.ta.ema(close=df.ta.ohlc4(), length=10, suffix="OHLC4")``` + * Returns a series with name: ```EMA_10_OHLC4``` + * Chaining Indicators _require_ specifying the input like: ```close=df.ta.ohlc4()```. +* ```donchiandf = df.ta.donchian(lower_length=10, upper_length=15)``` + * Returns a DataFrame named ```DC_10_15``` and column names: ```DCL_10_15, DCM_10_15, DCU_10_15``` + +Same as the last three examples, but appending the results directly to the DataFrame ```df```. +* ```df.ta.sma(length=10, append=True)``` + * Appends to ```df``` column name: ```SMA_10```. +* ```df.ta.ema(close=df.ta.ohlc4(append=True), length=10, suffix="OHLC4", append=True)``` + * Chaining Indicators _require_ specifying the input like: ```close=df.ta.ohlc4()```. +* ```df.ta.donchian(lower_length=10, upper_length=15, append=True)``` + * Appends to ```df``` with column names: ```DCL_10_15, DCM_10_15, DCU_10_15```. + +_Pandas TA Strategy_ +==================== + +A **Pandas TA** Strategy is a named group of indicators to be run by the _strategy_ method. All Strategies use **mulitprocessing** _except_ when using the ```col_names``` parameter (see [below](#multiprocessing)). There are different types of _Strategies_ listed in the following section. + +
+ +### Here are the previous _Styles_ implemented using a Strategy Class: +```python +# (1) Create the Strategy +MyStrategy = ta.Strategy( + name="DCSMA10", + ta=[ + {"kind": "ohlc4"}, + {"kind": "sma", "length": 10}, + {"kind": "donchian", "lower_length": 10, "upper_length": 15}, + {"kind": "ema", "close": "OHLC4", "length": 10, "suffix": "OHLC4"}, + ] +) + +# (2) Run the Strategy +df.ta.strategy(MyStrategy, **kwargs) +``` + +

+ +# **Pandas TA** _Strategies_ + +The _Strategy_ Class is a simple way to name and group your favorite TA Indicators by using a _Data Class_. **Pandas TA** comes with two prebuilt basic Strategies to help you get started: __AllStrategy__ and __CommonStrategy__. A _Strategy_ can be as simple as the __CommonStrategy__ or as complex as needed using Composition/Chaining. + +* When using the _strategy_ method, **all** indicators will be automatically appended to the DataFrame ```df```. +* You are using a Chained Strategy when you have the output of one indicator as input into one or more indicators in the same _Strategy_. +* **Note:** Use the 'prefix' and/or 'suffix' keywords to distinguish the composed indicator from it's default Series. + +See the [Pandas TA Strategy Examples Notebook](https://github.com/twopirllc/pandas-ta/tree/master/examples/PandasTA_Strategy_Examples.ipynb) for examples including _Indicator Composition/Chaining_. + +Strategy Requirements +--------------------- - _name_: Some short memorable string. _Note_: Case-insensitive "All" is reserved. - _ta_: A list of dicts containing keyword arguments to identify the indicator and the indicator's arguments +- **Note:** A Strategy will fail when consumed by Pandas TA if there is no ```{"kind": "indicator name"}``` attribute. _Remember_ to check your spelling. -### Optional Requirements: +Optional Parameters +------------------- - _description_: A more detailed description of what the Strategy tries to capture. Default: None - _created_: At datetime string of when it was created. Default: Automatically generated. -#### Things to note: -- A Strategy will __fail__ when consumed by Pandas TA if there is no {"kind": "indicator name"} attribute. __Remember__ to check your spelling. +
-#### Brief Examples -```python -# The Builtin All Default Strategy -ta.AllStrategy = ta.Strategy( - name="All", - description="All the indicators with their default settings. Pandas TA default.", - ta=None -) +Types of Strategies +======================= -# The Builtin Default (Example) Strategy. -ta.CommonStrategy = ta.Strategy( - name="Common Price and Volume SMAs", - description="Common Price SMAs: 10, 20, 50, 200 and Volume SMA: 20.", - ta=[ - {"kind": "sma", "length": 10}, - {"kind": "sma", "length": 20}, - {"kind": "sma", "length": 50}, - {"kind": "sma", "length": 200}, - {"kind": "sma", "close": "volume", "length": 20, "prefix": "VOL"} - ] -) - -# Your Custom Strategy or whatever your TA composition -CustomStrategy = ta.Strategy( - name="Momo and Volatility", - description="SMA 50,200, BBANDS, RSI, MACD and Volume SMA 20", - ta=[ - {"kind": "sma", "length": 50}, - {"kind": "sma", "length": 200}, - {"kind": "bbands", "length": 20}, - {"kind": "rsi"}, - {"kind": "macd", "fast": 8, "slow": 21}, - {"kind": "sma", "close": "volume", "length": 20, "prefix": "VOLUME"}, - ] -) -``` - -## __DataFrame Method__: _strategy_ with Multiprocessing - -The new __Pandas (TA)__ method __strategy__ is used to facilitate bulk indicator processing. By default, running ```df.ta.strategy()``` will append __all -applicable__ indicators to DataFrame ```df```. Utility methods like ```above```, ```below``` et al are not included, however they can be included with Custom Strategies. - -* The ```ta.strategy()``` method is still __under development__ and subject to change until stable. - - -```python -# Runs and appends all indicators to the current DataFrame by default -# The resultant DataFrame will be large. -df.ta.strategy() -# Or the string "all" -df.ta.strategy("all") -# Or the ta.AllStrategy -df.ta.strategy(ta.AllStrategy) - -# Use verbose if you want to make sure it is running. -df.ta.strategy(verbose=True) - -# Use timed if you want to see how long it takes to run. -df.ta.strategy(timed=True) - -# Maybe you do not want certain indicators. -# Just exclude (a list of) them. -df.ta.strategy(exclude=["bop", "mom", "percent_return", "wcp", "pvi"], verbose=True) - -# Perhaps you want to use different values for indicators. -# This will run ALL indicators that have fast or slow as parameters. -# Check your results and exclude as necessary. -df.ta.strategy(fast=10, slow=50, verbose=True) - -# Sanity check. Make sure all the columns are there -df.columns -``` - -## Running a Builtin, Categorical or Custom Strategy - -### __Builtin__ +## _Builtin_ ```python # Running the Builtin CommonStrategy as mentioned above df.ta.strategy(ta.CommonStrategy) -# The Default Strategy is the ta.AllStrategy. The following are equivalent -# df.ta.strategy(ta.AllStrategy) -# df.ta.strategy("All") +# The Default Strategy is the ta.AllStrategy. The following are equivalent: df.ta.strategy() +df.ta.strategy("All") +df.ta.strategy(ta.AllStrategy) ``` -### __Categorical__ +## _Categorical_ ```python # List of indicator categories df.ta.categories # Running a Categorical Strategy only requires the Category name df.ta.strategy("Momentum") # Default values for all Momentum indicators -df.ta.strategy("overlap", length=27) # Override all 'length' attributes +df.ta.strategy("overlap", length=42) # Override all Overlap 'length' attributes ``` -### __Custom__ +## _Custom_ ```python # Create your own Custom Strategy CustomStrategy = ta.Strategy( @@ -264,38 +281,67 @@ CustomStrategy = ta.Strategy( df.ta.strategy(CustomStrategy) ``` -## __DataFrame Property__: _categories_ +**Multiprocessing** +======================= + +The **Pandas TA** _strategy_ method utilizes **multiprocessing** for bulk indicator processing of all Strategy types with **ONE EXCEPTION!** When using the ```col_names``` parameter to rename resultant column(s), the indicators in ```ta``` array will be ran in order. ```python -# List of Pandas TA categories -df = df.ta.categories -``` +# Runs and appends all indicators to the current DataFrame by default +# The resultant DataFrame will be large. +df.ta.strategy() +# Or the string "all" +df.ta.strategy("all") +# Or the ta.AllStrategy +df.ta.strategy(ta.AllStrategy) -## __DataFrame Property__: _cores_ +# Use verbose if you want to make sure it is running. +df.ta.strategy(verbose=True) -```python -# Set the number of cores to use for strategy multiprocessing -# Defaults to the number of cpus you have +# Use timed if you want to see how long it takes to run. +df.ta.strategy(timed=True) + +# Choose the number of cores to use. Default is all available cores. df.ta.cores = 4 -# Returns the number of cores you set or your default number of cpus. -df.ta.cores +# Maybe you do not want certain indicators. +# Just exclude (a list of) them. +df.ta.strategy(exclude=["bop", "mom", "percent_return", "wcp", "pvi"], verbose=True) + +# Perhaps you want to use different values for indicators. +# This will run ALL indicators that have fast or slow as parameters. +# Check your results and exclude as necessary. +df.ta.strategy(fast=10, slow=50, verbose=True) + +# Sanity check. Make sure all the columns are there +df.columns ``` -## __DataFrame Properties__: _reverse_ & _datetime_ordered_ +
+## Custom Strategy without Multiprocessing +**Remember** These will not be utilizing **multiprocessing** ```python -# The 'datetime_ordered' property returns True if the DataFrame -# index is of Pandas datetime64 and df.index[0] < df.index[-1] -# Otherwise it returns False -time_series_in_order = df.ta.datetime_ordered - -# The 'reverse' is a helper property that returns the DataFrame -# in reverse order -df = df.ta.reverse +NonMPStrategy = ta.Strategy( + name="EMAs, BBs, and MACD", + description="Non Multiprocessing Strategy by rename Columns", + ta=[ + {"kind": "ema", "length": 8}, + {"kind": "ema", "length": 21}, + {"kind": "bbands", "length": 20, "col_names": ("BBL", "BBM", "BBU")}, + {"kind": "macd", "fast": 8, "slow": 21, "col_names": ("MACD", "MACD_H", "MACD_S")} + ] +) +# Run it +df.ta.strategy(NonMPStrategy) ``` -## __DataFrame Property__: *adjusted* +

+ + +# **DataFrame Properties** + +## **adjusted** ```python # Set ta to default to an adjusted column, 'adj_close', overriding default 'close' @@ -306,28 +352,72 @@ df.ta.sma(length=10, append=True) df.ta.adjusted = None ``` -## __DataFrame kwargs__: _prefix_ and _suffix_ +## **categories** ```python +# List of Pandas TA categories +df.ta.categories +``` + +## **cores** + +```python +# Set the number of cores to use for strategy multiprocessing +# Defaults to the number of cpus you have +df.ta.cores = 4 + +# Returns the number of cores you set or your default number of cpus. +df.ta.cores +``` + +## **datetime_ordered** + +```python +# The 'datetime_ordered' property returns True if the DataFrame +# index is of Pandas datetime64 and df.index[0] < df.index[-1] +# Otherwise it returns False +df.ta.datetime_ordered +``` + +## **reverse** + +```python +# The 'datetime_ordered' property returns True if the DataFrame +# index is of Pandas datetime64 and df.index[0] < df.index[-1] +# Otherwise it returns False +df.ta.datetime_ordered + +# The 'reverse' is a helper property that returns the DataFrame +# in reverse order +df.ta.reverse +``` + +## **prefix & suffix** + +```python +# Applying a prefix to the name of an indicator prehl2 = df.ta.hl2(prefix="pre") print(prehl2.name) # "pre_HL2" +# Applying a suffix to the name of an indicator endhl2 = df.ta.hl2(suffix="post") print(endhl2.name) # "HL2_post" +# Applying a prefix and suffix to the name of an indicator bothhl2 = df.ta.hl2(prefix="pre", suffix="post") print(bothhl2.name) # "pre_HL2_post" ``` -# __Technical Analysis Indicators__ (_by Category_) +

-## _Candles_ (3) +# **Indicators** (_by Category_) +### **Candles** (3) * _Doji_: **cdl_doji** * _Inside Bar_: **cdl_inside** * _Heikin-Ashi_: **ha** -## _Momentum_ (33) +### **Momentum** (34) * _Awesome Oscillator_: **ao** * _Absolute Price Oscillator_: **apo** @@ -335,6 +425,7 @@ print(bothhl2.name) # "pre_HL2_post" * _Balance of Power_: **bop** * _BRAR_: **brar** * _Commodity Channel Index_: **cci** +* _Chande Forecast Oscillator_: **cfo** * _Center of Gravity_: **cg** * _Chande Momentum Oscillator_: **cmo** * _Coppock Curve_: **coppock** @@ -369,7 +460,7 @@ print(bothhl2.name) # "pre_HL2_post" |:--------:| | ![Example MACD](/images/SPY_MACD.png) | -## _Overlap_ (27) +### **Overlap** (27) * _Double Exponential Moving Average_: **dema** * _Exponential Moving Average_: **ema** @@ -405,7 +496,8 @@ print(bothhl2.name) # "pre_HL2_post" |:--------:| | ![Example Chart](/images/TA_Chart.png) | -## _Performance_ (3) + +### **Performance** (3) Use parameter: cumulative=**True** for cumulative results. @@ -417,7 +509,8 @@ Use parameter: cumulative=**True** for cumulative results. |:--------:| | ![Example Cumulative Percent Return](/images/SPY_CumulativePercentReturn.png) | -## _Statistics_ (9) + +### **Statistics** (9) * _Entropy_: **entropy** * _Kurtosis_: **kurtosis** @@ -433,17 +526,18 @@ Use parameter: cumulative=**True** for cumulative results. |:--------:| | ![Example Z Score](/images/SPY_ZScore.png) | -## _Trend_ (15) +### **Trend** (15) * _Average Directional Movement Index_: **adx** * _Archer Moving Averages Trends_: **amat** * _Aroon & Aroon Oscillator_: **aroon** * _Choppiness Index_: **chop** * _Chande Kroll Stop_: **cksp** +* _Decay_: **decay** + * Formally: **linear_decay** * _Decreasing_: **decreasing** * _Detrended Price Oscillator_: **dpo** * _Increasing_: **increasing** -* _Linear Decay_: **linear_decay** * _Long Run_: **long_run** * _Parabolic Stop and Reverse_: **psar** * _Q Stick_: **qstick** @@ -455,7 +549,7 @@ Use parameter: cumulative=**True** for cumulative results. |:--------:| | ![Example ADX](/images/SPY_ADX.png) | -## _Utility_ (5) +### **Utility** (5) * _Above_: **above** * _Above Value_: **above_value** @@ -463,7 +557,7 @@ Use parameter: cumulative=**True** for cumulative results. * _Below Value_: **below_value** * _Cross_: **cross** -## _Volatility_ (12) +### **Volatility** (12) * _Aberration_: **aberration** * _Acceleration Bands_: **accbands** @@ -482,7 +576,7 @@ Use parameter: cumulative=**True** for cumulative results. |:--------:| | ![Example ATR](/images/SPY_ATR.png) | -## _Volume_ (13) +### **Volume** (13) * _Accumulation/Distribution Index_: **ad** * _Accumulation/Distribution Oscillator_: **adosc** @@ -502,17 +596,37 @@ Use parameter: cumulative=**True** for cumulative results. |:--------:| | ![Example OBV](/images/SPY_OBV.png) | +

-# Contributors -* [alexonab](https://github.com/alexonab) -* [allahyarzadeh](https://github.com/allahyarzadeh) -* [DrPaprikaa](https://github.com/DrPaprikaa) -* [FGU1](https://github.com/FGU1) -* [lluissalord](https://github.com/lluissalord) -* [SoftDevDanial](https://github.com/SoftDevDanial) -* [YuvalWein](https://github.com/YuvalWein) +# **Changes** +## **Recent** +* A __Strategy__ Class to help name and group your favorite indicators. +* An _experimental_ and independent __Watchlist__ Class located in the [Examples](https://github.com/twopirllc/pandas-ta/tree/master/examples/watchlist.py) Directory that can be used in conjunction with the new __Strategy__ Class. +* _Linear Regression_ (**linear_regression**) is a new utility method for Simple Linear Regression using _Numpy_ or _Scikit Learn_'s implementation. -# Inspiration -* Original TA-LIB: http://ta-lib.org/ -* TradingView: http://www.tradingview.com \ No newline at end of file +## **Breaking** +* _Stochastic Oscillator_ (**stoch**): Now in line with Trading View's calculation. See: ```help(ta.stoch)``` +* _Linear Decay_ (**linear_decay**): Renamed to _Decay_ (**decay**) and with the option for Exponential decay using ```mode="exp"```. See: ```help(ta.decay)``` + +## **New** +* _Chande Forecast Oscillator_ (**cfo**) It calculates the percentage difference between the actual price and the Time Series Forecast (the endpoint of a linear regression line). +* _Gann High-Low Activator_ (**hilo**) The Gann High Low Activator Indicator was created by Robert Krausz in a 1998. +* _Inside Bar_ (**cdl_inside**) An Inside Bar is a bar contained within it's previous bar's high and low See: ```help(ta.cdl_inside)``` +* _SMI Ergodic_ (**smi**) Developed by William Blau, the SMI Ergodic Indicator is the same as the True Strength Index (TSI) except the SMI includes a signal line and oscillator. +* _Squeeze_ (**squeeze**). A Momentum indicator. Both John Carter's TTM **and** Lazybear's TradingView versions are implemented. The default is John Carter's, or ```lazybear=False```. Set ```lazybear=True``` to enable Lazybear's. +* _Stochastic RSI_ (**stochrsi**) "Stochastic RSI and Dynamic Momentum Index" was created by Tushar Chande and Stanley Kroll. In line with Trading View's calculation. See: ```help(ta.stochrsi)``` +* _TTM Trend_ (**ttm_trend**). A trend indicator inspired from John Carter's book "Mastering the Trade". +issue of Stocks & Commodities Magazine. It is a moving average based trend +indicator consisting of two different simple moving averages. + +## **Updated** +* _Trend Return_ (**trend_return**): Returns a DataFrame now instead of Series with pertinenet trade info for a _trend_. An example can be found in the [AI Example Notebook](https://github.com/twopirllc/pandas-ta/tree/master/examples/AIExample.ipynb). The notebook is still a work in progress and open to colloboration. + + +# **Sources** +* [Original TA-LIB](http://ta-lib.org/) +* [TradingView](http://www.tradingview.com) +* [Sierra Chart](https://search.sierrachart.com/?Query=indicators&submitted=true) +* [FM Labs](https://www.fmlabs.com/reference/default.htm) +* [User 42](https://user42.tuxfamily.org/chart/manual/index.html) diff --git a/data/SPY_D.csv b/data/SPY_D.csv index 115b106..6bb66ba 100644 --- a/data/SPY_D.csv +++ b/data/SPY_D.csv @@ -1,702 +1,5242 @@ -date,open,high,low,close,volume -2016-01-04,200.49,201.03,198.59,201.0192,222353534.0 -2016-01-05,201.4,201.9,200.05,201.36,110845849.0 -2016-01-06,198.34,200.06,197.6,198.82,152112604.0 -2016-01-07,195.33,197.44,193.59,194.05,213436073.0 -2016-01-08,195.19,195.85,191.58,191.923,209817228.0 -2016-01-11,193.01,193.41,189.82,192.11,187941323.0 -2016-01-12,193.82,194.55,191.14,193.6608,172330490.0 -2016-01-13,194.45,194.86,188.38,188.83,221168886.0 -2016-01-14,189.55,193.26,187.66,191.93,240795609.0 -2016-01-15,186.77,188.76,185.52,187.81,324846447.0 -2016-01-19,189.96,190.11,186.2,188.06,195244373.0 -2016-01-20,185.03,187.495,181.02,185.65,286547839.0 -2016-01-21,186.21,188.87,184.64,186.69,195772941.0 -2016-01-22,189.78,190.76,188.88,190.52,168319598.0 -2016-01-25,189.92,190.15,187.41,187.64,130371686.0 -2016-01-26,188.42,190.53,188.02,190.2,141036757.0 -2016-01-27,189.58,191.56,187.06,188.13,185681707.0 -2016-01-28,189.96,190.2,187.16,189.11,143798780.0 -2016-01-29,190.02,193.88,189.88,193.7208,210529336.0 -2016-02-01,192.53,194.58,191.84,193.65,136061564.0 -2016-02-02,191.96,191.97,189.54,190.16,182564890.0 -2016-02-03,191.41,191.78,187.1,191.3,205054934.0 -2016-02-04,190.71,192.75,189.96,191.6,139531794.0 -2016-02-05,190.99,191.6696,187.2,187.95,180788308.0 -2016-02-08,185.77,186.12,182.8,185.42,191526694.0 -2016-02-09,183.36,186.94,183.2,185.43,184513136.0 -2016-02-10,186.41,188.34,185.12,185.27,148214057.0 -2016-02-11,182.34,184.1,181.09,182.86,219058885.0 -2016-02-12,184.96,186.65,183.96,186.63,127632393.0 -2016-02-16,188.77,189.81,187.63,189.78,120250668.0 -2016-02-17,191.16,193.32,191.01,192.88,136009496.0 -2016-02-18,193.2,193.27,191.72,192.09,102342997.0 -2016-02-19,191.17,192.18,190.45,192.0,114792988.0 -2016-02-22,193.87,194.95,193.79,194.78,103640292.0 -2016-02-23,194.0,194.32,192.18,192.32,111455289.0 -2016-02-24,190.63,193.53,189.32,193.2,150812152.0 -2016-02-25,193.73,195.55,192.83,195.54,110728317.0 -2016-02-26,196.57,196.68,194.9,195.0892,129833663.0 -2016-02-29,195.11,196.23,193.33,193.56,125918102.0 -2016-03-01,195.01,198.21,194.4542,198.11,141799687.0 -2016-03-02,197.74,199.06,197.25,199.0,102414960.0 -2016-03-03,198.79,199.795,198.11,199.775,95172197.0 -2016-03-04,200.01,201.35,199.03,200.43,129293601.0 -2016-03-07,199.34,201.07,199.25,200.59,100218998.0 -2016-03-08,199.32,199.92,198.21,198.4,123974866.0 -2016-03-09,199.36,199.79,198.43,199.38,94801213.0 -2016-03-10,199.96,201.07,197.38,199.54,156838697.0 -2016-03-11,201.26,202.81,199.5179,202.76,138243024.0 -2016-03-14,202.16,203.04,201.77,202.5,74176589.0 -2016-03-15,201.36,202.5307,201.05,202.17,93298821.0 -2016-03-16,201.6,203.82,201.55,203.34,129303179.0 -2016-03-17,203.24,205.23,202.77,204.63,134143421.0 -2016-03-18,204.17,204.78,203.8,204.38,138372404.0 -2016-03-21,204.07,204.94,203.8,204.67,72926659.0 -2016-03-22,203.76,205.23,203.57,204.56,97471939.0 -2016-03-23,204.11,204.33,203.01,203.2092,81052455.0 -2016-03-24,202.0,203.16,201.74,203.12,84360853.0 -2016-03-28,203.61,203.86,202.705,203.24,62408185.0 -2016-03-29,202.76,205.25,202.4,205.1208,92922863.0 -2016-03-30,206.3,206.87,205.59,206.02,86365310.0 -2016-03-31,205.91,206.41,205.33,205.52,94584110.0 -2016-04-01,204.35,207.14,203.98,206.92,114423478.0 -2016-04-04,206.83,207.07,205.89,206.25,63496969.0 -2016-04-05,204.67,206.2642,203.89,204.1892,99662158.0 -2016-04-06,204.29,206.49,203.98,206.42,91839761.0 -2016-04-07,205.14,205.56,203.09,203.95,113859037.0 -2016-04-08,205.34,205.85,203.87,204.4992,95040598.0 -2016-04-11,205.25,206.07,203.91,204.0201,83757486.0 -2016-04-12,204.22,206.25,203.7,205.92,115350567.0 -2016-04-13,207.0,208.1,206.84,208.0008,96336433.0 -2016-04-14,208.07,208.6,207.6,208.01,65212883.0 -2016-04-15,208.01,208.1721,207.4,207.78,75761615.0 -2016-04-18,207.14,209.28,207.0,209.2392,82530960.0 -2016-04-19,209.74,210.2,208.94,209.9,88316060.0 -2016-04-20,209.95,210.92,209.39,210.1,81100314.0 -2016-04-21,210.12,210.25,208.65,208.97,85695041.0 -2016-04-22,208.55,209.29,207.91,208.97,99251724.0 -2016-04-25,208.26,208.66,207.54,208.61,66166494.0 -2016-04-26,209.04,209.52,208.36,208.9192,75864174.0 -2016-04-27,208.47,209.81,208.05,209.35,77329437.0 -2016-04-28,208.46,209.76,206.96,207.4475,97216169.0 -2016-04-29,206.72,207.13,205.03,206.3308,142424137.0 -2016-05-02,206.92,208.18,206.41,207.97,62188015.0 -2016-05-03,206.52,206.8,205.28,206.1592,106422142.0 -2016-05-04,204.99,205.85,204.42,205.01,92243810.0 -2016-05-05,205.56,205.98,204.47,204.97,67619222.0 -2016-05-06,204.06,205.77,203.88,205.72,89315004.0 -2016-05-09,205.57,206.4,205.36,205.8892,74374922.0 -2016-05-10,206.72,208.5,206.64,208.45,77472207.0 -2016-05-11,207.91,208.54,206.5,206.5,81726989.0 -2016-05-12,207.29,207.4899,205.37,206.56,89586308.0 -2016-05-13,206.21,206.86,204.38,204.76,96474630.0 -2016-05-16,204.96,207.34,204.89,206.78,77486827.0 -2016-05-17,206.46,206.8,204.23,204.8508,114924940.0 -2016-05-18,204.44,206.3,203.63,204.91,123493379.0 -2016-05-19,204.06,204.54,202.78,204.2,115430507.0 -2016-05-20,204.92,206.1,204.86,205.49,104990408.0 -2016-05-23,205.51,205.84,204.985,205.21,58682576.0 -2016-05-24,206.17,208.24,206.14,207.87,93537808.0 -2016-05-25,208.67,209.77,207.8691,209.28,79221525.0 -2016-05-26,209.44,209.71,208.97,209.34,55280699.0 -2016-05-27,209.53,210.25,209.47,210.24,64211214.0 -2016-05-31,210.56,210.69,209.18,209.84,109879380.0 -2016-06-01,209.12,210.48,208.89,210.27,69936215.0 -2016-06-02,209.8,210.93,209.2399,210.91,63044749.0 -2016-06-03,210.25,210.69,208.86,210.28,101757126.0 -2016-06-06,210.7,211.77,210.51,211.35,64887045.0 -2016-06-07,211.525,212.34,211.5,211.68,60974761.0 -2016-06-08,211.84,212.52,211.6899,212.37,66170920.0 -2016-06-09,211.51,212.22,211.19,212.08,73786869.0 -2016-06-10,210.46,210.86,209.43,210.07,113829158.0 -2016-06-13,209.36,210.37,208.35,208.4492,117751153.0 -2016-06-14,208.0,208.74,206.9199,208.04,125059286.0 -2016-06-15,208.54,209.36,207.53,207.75,109124496.0 -2016-06-16,206.73,208.57,205.59,208.37,149533065.0 -2016-06-17,207.17,207.2,205.75,206.52,117055748.0 -2016-06-20,208.82,209.61,207.75,207.85,82789603.0 -2016-06-21,208.3,208.92,207.78,208.44,72461663.0 -2016-06-22,208.65,209.5,207.93,208.1,95560471.0 -2016-06-23,209.81,210.87,209.27,210.81,102731356.0 -2016-06-24,203.63,210.8463,202.72,203.13,333444397.0 -2016-06-27,201.59,201.6,198.65,199.6,248988660.0 -2016-06-28,201.48,203.23,201.12,203.1997,159382399.0 -2016-06-29,204.84,206.93,204.72,206.66,137328614.0 -2016-06-30,207.21,209.54,206.56,209.475,165021948.0 -2016-07-01,209.36,210.49,209.29,209.9208,106055333.0 -2016-07-05,208.95,209.08,207.71,208.41,109803713.0 -2016-07-06,207.83,209.8,207.06,209.66,96021491.0 -2016-07-07,209.87,210.6495,208.63,209.526,85593827.0 -2016-07-08,211.05,212.94,210.7785,212.65,133970972.0 -2016-07-11,213.19,214.07,212.95,213.4,73633937.0 -2016-07-12,214.53,215.3,213.4308,214.95,101275629.0 -2016-07-13,215.44,215.45,214.35,214.92,87324129.0 -2016-07-14,216.4,216.67,215.66,216.12,91230870.0 -2016-07-15,216.78,217.0125,215.308,215.83,107155401.0 -2016-07-18,215.97,216.6,215.67,216.4092,58725918.0 -2016-07-19,215.92,216.23,215.63,216.19,54345728.0 -2016-07-20,216.75,217.37,216.24,217.085,58159457.0 -2016-07-21,216.96,217.22,215.75,216.265,67777310.0 -2016-07-22,216.41,217.3,216.1,217.24,62787477.0 -2016-07-25,217.0,217.06,215.97,216.65,55873147.0 -2016-07-26,216.53,217.17,215.76,216.75,70080493.0 -2016-07-27,217.19,217.27,215.62,216.52,84083893.0 -2016-07-28,216.29,217.11,215.75,216.77,65035718.0 -2016-07-29,216.46,217.54,216.13,217.12,79519436.0 -2016-08-01,217.19,217.65,216.405,216.94,73311422.0 -2016-08-02,216.65,216.83,214.57,215.5492,92295506.0 -2016-08-03,215.48,216.245,215.13,216.18,53993626.0 -2016-08-04,216.31,216.78,214.25,216.4097,46585528.0 -2016-08-05,217.21,218.23,217.07,218.18,71892161.0 -2016-08-08,218.4,218.52,217.74,218.05,39906479.0 -2016-08-09,218.13,218.76,217.8,218.18,51251728.0 -2016-08-10,218.31,218.4038,217.23,217.64,57941092.0 -2016-08-11,218.26,218.94,217.95,218.65,72504270.0 -2016-08-12,218.29,218.71,217.99,218.46,61313544.0 -2016-08-15,218.89,219.5,218.88,219.09,49813482.0 -2016-08-16,218.6,218.68,217.96,217.96,53213621.0 -2016-08-17,218.0,218.53,217.02,218.37,75134339.0 -2016-08-18,218.34,218.9,218.21,218.86,52989266.0 -2016-08-19,218.31,218.75,217.74,218.54,75443004.0 -2016-08-22,218.26,218.8,217.83,218.53,61368766.0 -2016-08-23,219.25,219.6,218.9,218.97,53399159.0 -2016-08-24,218.8,218.91,217.36,217.85,71728949.0 -2016-08-25,217.4,218.19,217.22,217.7,69224776.0 -2016-08-26,217.92,219.12,216.25,217.29,122506348.0 -2016-08-29,217.44,218.665,217.4,218.3608,70502167.0 -2016-08-30,218.26,218.59,217.35,218.0,58114543.0 -2016-08-31,217.61,217.75,216.465,217.38,85269453.0 -2016-09-01,217.37,217.73,216.03,217.39,97844207.0 -2016-09-02,218.39,218.87,217.7,218.37,79293856.0 -2016-09-06,218.7,219.12,217.86,219.0308,56702089.0 -2016-09-07,218.84,219.22,218.3,219.01,76554855.0 -2016-09-08,218.62,218.94,218.15,218.51,74102880.0 -2016-09-09,216.97,217.03,213.25,213.28,221589073.0 -2016-09-12,212.39,216.81,212.31,216.34,168110913.0 -2016-09-13,214.84,215.1499,212.5,213.23,182828839.0 -2016-09-14,213.29,214.7,212.5,213.15,134185491.0 -2016-09-15,212.96,215.73,212.75,215.28,145736123.0 -2016-09-16,213.48,213.69,212.57,213.37,155236354.0 -2016-09-19,214.13,214.88,213.03,213.41,80250490.0 -2016-09-20,214.41,214.59,213.38,213.42,69665279.0 -2016-09-21,214.24,216.03,213.44,215.82,110284425.0 -2016-09-22,217.0,217.53,216.71,217.18,76678713.0 -2016-09-23,216.72,216.88,215.88,215.99,73630921.0 -2016-09-26,215.02,215.23,214.01,214.24,89827305.0 -2016-09-27,214.05,215.68,213.62,215.57,78494829.0 -2016-09-28,215.83,216.82,214.71,216.64,87411015.0 -2016-09-29,216.4,216.87,214.04,214.68,128070615.0 -2016-09-30,215.65,217.12,215.36,216.3,117202914.0 -2016-10-03,215.82,216.04,215.04,215.78,83512057.0 -2016-10-04,215.91,216.17,213.99,214.68,119948052.0 -2016-10-05,215.41,216.13,215.33,215.63,72815963.0 -2016-10-06,215.37,216.04,214.735,215.78,62927376.0 -2016-10-07,216.1,216.3,214.19,215.04,89788255.0 -2016-10-10,216.155,216.7,215.985,216.16,51855023.0 -2016-10-11,215.66,215.74,212.58,213.43,130367373.0 -2016-10-12,213.59,214.32,213.01,213.71,73866117.0 -2016-10-13,212.16,213.59,211.21,213.01,101356960.0 -2016-10-14,214.15,214.69,213.03,213.12,93346237.0 -2016-10-17,213.09,213.39,212.17,212.38,58275674.0 -2016-10-18,214.24,214.31,213.27,213.71,76869656.0 -2016-10-19,214.02,214.64,213.6,214.28,66519224.0 -2016-10-20,213.87,214.53,213.11,213.88,73639830.0 -2016-10-21,212.96,214.08,212.76,213.98,89089092.0 -2016-10-24,215.0,215.32,214.48,214.89,60146592.0 -2016-10-25,214.68,214.98,213.98,214.17,66542329.0 -2016-10-26,213.21,214.42,212.93,213.74,75705478.0 -2016-10-27,214.58,214.62,213.08,213.17,77220213.0 -2016-10-28,213.14,213.93,211.71,212.54,140623183.0 -2016-10-31,212.93,213.19,212.36,212.55,61272507.0 -2016-11-01,212.93,212.99,209.6,211.01,122781818.0 -2016-11-02,210.65,211.1,209.23,209.74,103330806.0 -2016-11-03,209.99,210.24,208.46,208.78,88939346.0 -2016-11-04,208.91,209.89,208.38,208.55,109122059.0 -2016-11-07,211.45,213.19,211.3,213.15,109794861.0 -2016-11-08,212.69,214.77,212.38,214.11,106772138.0 -2016-11-09,212.37,217.1,212.34,216.3792,258428972.0 -2016-11-10,217.3,218.31,215.22,216.92,172113313.0 -2016-11-11,216.08,216.7,215.32,216.42,100552732.0 -2016-11-14,217.03,217.27,215.72,216.59,94579982.0 -2016-11-15,217.04,218.28,216.8,218.28,91652580.0 -2016-11-16,217.56,218.14,217.42,217.87,65617697.0 -2016-11-17,218.05,219.06,217.92,218.99,69797191.0 -2016-11-18,219.07,219.27,218.29,218.5,86265751.0 -2016-11-21,219.17,220.18,219.0,220.15,72402638.0 -2016-11-22,220.51,220.79,219.73,220.58,67428957.0 -2016-11-23,219.98,220.76,219.75,220.7,56620237.0 -2016-11-25,221.1,221.56,221.01,221.52,37872255.0 -2016-11-28,221.16,221.48,220.36,220.48,76572511.0 -2016-11-29,220.52,221.44,220.17,220.91,69886690.0 -2016-11-30,221.63,221.82,220.31,220.38,113291793.0 -2016-12-01,220.73,220.73,219.15,219.57,79040487.0 -2016-12-02,219.67,220.25,219.26,219.68,74840347.0 -2016-12-05,220.65,221.4,220.42,221.0,67837821.0 -2016-12-06,221.22,221.7441,220.662,221.7,59877377.0 -2016-12-07,221.52,224.67,221.38,224.6,110738050.0 -2016-12-08,224.57,225.7,224.26,225.15,99714387.0 -2016-12-09,225.41,226.53,225.37,226.51,88005766.0 -2016-12-12,226.4,226.96,225.76,226.25,101906238.0 -2016-12-13,227.02,228.34,227.0,227.76,110477485.0 -2016-12-14,227.41,228.23,225.365,225.88,142501812.0 -2016-12-15,226.16,227.81,225.8904,226.81,124972554.0 -2016-12-16,226.01,226.08,224.67,225.04,156420152.0 -2016-12-19,225.25,226.02,225.08,225.53,90341147.0 -2016-12-20,226.15,226.57,225.88,226.4,89838810.0 -2016-12-21,226.25,226.45,225.77,225.77,67909039.0 -2016-12-22,225.6,225.74,224.92,225.38,56219071.0 -2016-12-23,225.43,225.72,225.21,225.71,36697822.0 -2016-12-27,226.02,226.73,226.0,226.27,42672487.0 -2016-12-28,226.57,226.59,224.27,224.4,64095014.0 -2016-12-29,224.48,224.89,223.84,224.35,48696080.0 -2016-12-30,224.73,224.83,222.73,223.53,108998328.0 -2017-01-03,225.04,225.83,223.8837,225.24,91366522.0 -2017-01-04,225.62,226.75,225.61,226.58,78744433.0 -2017-01-05,226.27,226.58,225.48,226.4,78379012.0 -2017-01-06,226.53,227.75,225.9,227.21,71559922.0 -2017-01-09,226.91,227.0701,226.4163,226.46,46939676.0 -2017-01-10,226.48,227.45,226.01,226.46,63771939.0 -2017-01-11,226.36,227.1,225.59,227.1,74650016.0 -2017-01-12,226.5,226.75,224.955,226.53,72113181.0 -2017-01-13,226.73,227.4,226.69,227.05,62717865.0 -2017-01-17,226.31,226.78,225.8,226.25,61240814.0 -2017-01-18,226.535,226.8,225.9,226.75,54793302.0 -2017-01-19,226.84,227.0,225.41,225.91,66608787.0 -2017-01-20,226.7,227.31,225.9719,226.74,129168623.0 -2017-01-23,226.35,226.805,225.27,226.15,75061645.0 -2017-01-24,226.4,228.08,226.27,227.6,95555295.0 -2017-01-25,228.7,229.57,228.51,229.57,84437712.0 -2017-01-26,229.4,229.71,229.01,229.33,59970719.0 -2017-01-27,229.42,229.59,228.76,228.97,59695224.0 -2017-01-30,228.17,228.2,226.41,227.55,79737252.0 -2017-01-31,226.98,227.6,226.32,227.53,75880805.0 -2017-02-01,228.255,228.59,226.94,227.62,79117651.0 -2017-02-02,227.2,228.1,226.82,227.77,69657560.0 -2017-02-03,228.82,229.55,228.46,229.34,80563168.0 -2017-02-06,228.87,229.326,228.54,228.93,57790108.0 -2017-02-07,229.38,229.6556,228.72,228.94,57931151.0 -2017-02-08,228.61,229.39,228.31,229.24,51566218.0 -2017-02-09,229.56,230.95,229.52,230.6,65955245.0 -2017-02-10,231.0,231.77,230.6216,231.51,66015892.0 -2017-02-13,232.08,233.07,232.05,232.77,55182050.0 -2017-02-14,232.56,233.71,232.16,233.7,71108983.0 -2017-02-15,233.45,235.14,233.39,234.92,86785826.0 -2017-02-16,234.96,235.155,233.85,234.72,84722437.0 -2017-02-17,233.95,235.09,233.93,235.09,77204104.0 -2017-02-21,235.52,236.69,235.51,236.49,88946051.0 -2017-02-22,236.02,236.54,235.83,236.28,62115185.0 -2017-02-23,236.88,236.9,235.56,236.44,74615902.0 -2017-02-24,235.46,236.7932,235.41,236.74,82381612.0 -2017-02-27,236.64,237.31,236.35,237.11,56515440.0 -2017-02-28,236.67,236.95,236.015,236.47,96961938.0 -2017-03-01,238.39,240.32,238.37,239.78,149158170.0 -2017-03-02,239.56,239.57,238.21,238.27,70245978.0 -2017-03-03,238.17,238.61,237.73,238.42,81974300.0 -2017-03-06,237.5,238.12,237.01,237.71,55391533.0 -2017-03-07,237.36,237.77,236.76,237.0,65103737.0 -2017-03-08,237.34,237.64,236.4,236.56,78168795.0 -2017-03-09,236.7,237.24,235.74,236.86,90683918.0 -2017-03-10,237.97,238.02,236.59,237.69,81991652.0 -2017-03-13,237.62,237.86,237.24,237.81,57256824.0 -2017-03-14,237.18,237.24,236.19,236.9,59880778.0 -2017-03-15,237.56,239.44,237.29,238.95,96081750.0 -2017-03-16,239.11,239.2,238.1,238.48,78343951.0 -2017-03-17,237.75,237.97,237.03,237.03,89002111.0 -2017-03-20,237.03,237.36,236.32,236.77,52536979.0 -2017-03-21,237.47,237.61,233.58,233.73,131809275.0 -2017-03-22,233.77,234.61,233.05,234.28,97569204.0 -2017-03-23,234.0,235.34,233.6,234.03,100410277.0 -2017-03-24,234.38,235.04,232.96,233.86,112504853.0 -2017-03-27,231.93,233.92,231.61,233.62,87454452.0 -2017-03-28,233.27,235.81,233.14,235.32,93483915.0 -2017-03-29,234.99,235.81,234.725,235.54,61950354.0 -2017-03-30,235.47,236.52,235.27,236.29,56737890.0 -2017-03-31,235.9,236.51,235.68,235.74,73733094.0 -2017-04-03,235.8,236.03,233.91,235.33,85546486.0 -2017-04-04,235.0,235.58,234.555,235.48,56466195.0 -2017-04-05,236.26,237.39,234.54,234.78,108800604.0 -2017-04-06,234.94,236.04,234.425,235.44,69135757.0 -2017-04-07,235.15,236.0,234.64,235.2,74386480.0 -2017-04-10,235.36,236.255,234.73,235.34,67615302.0 -2017-04-11,234.9,235.18,233.34,235.06,88045276.0 -2017-04-12,234.74,234.96,233.77,234.03,81864436.0 -2017-04-13,233.64,234.49,232.51,232.51,92880394.0 -2017-04-17,233.11,234.57,232.88,234.57,68405367.0 -2017-04-18,233.72,234.49,233.08,233.87,83225821.0 -2017-04-19,234.52,234.95,233.18,233.44,68699868.0 -2017-04-20,234.15,235.845,233.78,235.34,92572186.0 -2017-04-21,235.25,235.31,234.13,234.59,110389847.0 -2017-04-24,237.18,237.41,234.5628,237.17,119209877.0 -2017-04-25,237.91,238.95,237.81,238.55,76698265.0 -2017-04-26,238.51,239.53,238.35,238.4,84702455.0 -2017-04-27,238.77,238.95,237.98,238.6,57410326.0 -2017-04-28,238.9,238.93,237.93,238.08,63532845.0 -2017-05-01,238.68,239.17,238.195,238.68,66882521.0 -2017-05-02,238.84,238.98,238.3,238.77,57375732.0 -2017-05-03,238.29,238.8775,237.7,238.48,73137731.0 -2017-05-04,238.83,238.9225,237.78,238.76,61443570.0 -2017-05-05,239.19,239.72,238.68,239.7,62001269.0 -2017-05-08,239.75,239.92,239.17,239.66,48385730.0 -2017-05-09,239.96,240.19,239.04,239.44,51363200.0 -2017-05-10,239.39,239.87,239.15,239.87,54293799.0 -2017-05-11,239.35,239.57,238.13,239.38,62358346.0 -2017-05-12,239.09,239.4273,238.67,238.98,53912730.0 -2017-05-15,239.47,240.44,239.45,240.3,61918937.0 -2017-05-16,240.64,240.67,239.63,240.08,51241791.0 -2017-05-17,238.1,238.64,235.75,235.82,172174107.0 -2017-05-18,235.73,237.75,235.43,236.77,107047656.0 -2017-05-19,237.33,239.08,237.27,238.31,115011373.0 -2017-05-22,238.9,239.71,238.82,239.52,61010602.0 -2017-05-23,239.95,240.24,239.51,240.05,48341683.0 -2017-05-24,240.32,240.73,239.93,240.61,49181099.0 -2017-05-25,241.2,242.08,240.96,241.76,64071661.0 -2017-05-26,241.54,241.9,241.45,241.71,46629905.0 -2017-05-30,241.34,241.79,241.16,241.5,35201897.0 -2017-05-31,241.84,241.88,240.64,241.44,91796016.0 -2017-06-01,241.97,243.38,241.64,243.36,68962024.0 -2017-06-02,243.42,244.35,243.08,244.17,88666128.0 -2017-06-05,243.97,244.3,243.76,243.99,44698825.0 -2017-06-06,243.34,243.98,243.12,243.21,50375430.0 -2017-06-07,243.6,243.92,242.83,243.66,54144311.0 -2017-06-08,243.77,244.33,243.17,243.78,65950691.0 -2017-06-09,244.09,245.01,241.95,243.41,132256362.0 -2017-06-12,243.13,243.42,242.38,243.36,86108102.0 -2017-06-13,243.98,244.61,243.5799,244.55,60066953.0 -2017-06-14,244.86,244.87,243.29,244.24,78602311.0 -2017-06-15,242.68,243.91,242.36,243.77,66464888.0 -2017-06-16,242.77,242.83,241.6337,242.64,84553097.0 -2017-06-19,243.59,244.73,243.48,244.66,65123802.0 -2017-06-20,244.25,244.26,242.99,243.01,56906368.0 -2017-06-21,243.42,243.59,242.41,242.95,55977569.0 -2017-06-22,242.96,243.53,242.64,242.84,44148059.0 -2017-06-23,242.91,243.51,242.47,243.13,66986801.0 -2017-06-26,243.9,244.38,243.045,243.29,56700477.0 -2017-06-27,243.04,243.38,241.31,241.33,82247666.0 -2017-06-28,242.5,243.715,242.23,243.49,70042599.0 -2017-06-29,243.66,243.72,239.955,241.35,106949719.0 -2017-06-30,242.28,242.71,241.575,241.8,86820694.0 -2017-07-03,242.88,243.38,242.21,242.21,39153806.0 -2017-07-05,242.63,243.01,241.7,242.77,54427596.0 -2017-07-06,241.89,242.03,240.34,240.55,66115317.0 -2017-07-07,241.21,242.28,240.5645,242.11,57972268.0 -2017-07-10,241.95,242.8,241.76,242.37,36663274.0 -2017-07-11,242.16,242.55,240.85,242.19,50354614.0 -2017-07-12,243.3,244.2,243.3,244.01,59610405.0 -2017-07-13,244.02,244.55,243.76,244.42,39471637.0 -2017-07-14,244.43,245.97,244.31,245.56,60262692.0 -2017-07-17,245.47,245.91,245.33,245.53,33531917.0 -2017-07-18,245.06,245.72,244.67,245.66,42742498.0 -2017-07-19,246.02,247.0,246.01,246.99,51034260.0 -2017-07-20,247.28,247.42,246.47,247.1,47135183.0 -2017-07-21,246.44,246.91,246.18,246.88,88711019.0 -2017-07-24,246.79,246.98,246.28,246.82,46622256.0 -2017-07-25,247.68,247.8,247.16,247.42,54915591.0 -2017-07-26,247.75,247.79,247.13,247.43,47575422.0 -2017-07-27,247.96,248.0,245.68,247.2,70766568.0 -2017-07-28,246.65,247.06,246.13,246.91,50088359.0 -2017-07-31,247.37,247.48,246.53,246.77,65838659.0 -2017-08-01,247.46,247.5,246.716,247.32,55050401.0 -2017-08-02,247.47,247.6,246.37,247.44,47211216.0 -2017-08-03,247.31,247.34,246.64,246.96,40855997.0 -2017-08-04,247.52,247.79,246.97,247.41,60191838.0 -2017-08-07,247.49,247.87,247.37,247.87,31995021.0 -2017-08-08,247.51,248.91,246.83,247.26,61719353.0 -2017-08-09,246.47,247.31,246.06,247.25,62632619.0 -2017-08-10,246.29,246.44,243.7,243.76,120479470.0 -2017-08-11,244.02,244.8,243.75,244.12,74869947.0 -2017-08-14,245.59,246.79,245.55,246.54,73291919.0 -2017-08-15,246.98,247.0,246.16,246.51,55242746.0 -2017-08-16,247.11,247.57,246.45,246.94,56715544.0 -2017-08-17,246.24,246.6,243.09,243.09,128490396.0 -2017-08-18,242.9,244.189,242.2,242.71,136747986.0 -2017-08-21,242.64,243.2,241.83,242.9,65469736.0 -2017-08-22,243.57,245.62,243.55,245.44,63140101.0 -2017-08-23,244.33,245.05,244.16,244.56,50203837.0 -2017-08-24,245.0,245.18,243.75,243.99,50741671.0 -2017-08-25,244.9,245.61,244.39,244.56,64445912.0 -2017-08-28,245.17,245.2,244.09,244.57,40565606.0 -2017-08-29,243.06,245.15,242.93,244.85,51135715.0 -2017-08-30,244.83,246.32,244.62,246.01,62030805.0 -2017-08-31,246.72,247.77,246.0473,247.49,103803880.0 -2017-09-01,247.92,248.33,247.67,247.84,62006989.0 -2017-09-05,247.26,247.52,244.95,246.06,91398777.0 -2017-09-06,246.84,247.28,246.23,246.9,57916867.0 -2017-09-07,247.25,247.27,246.4,246.87,58034730.0 -2017-09-08,246.54,247.11,246.3,246.58,63832825.0 -2017-09-11,248.04,249.3,248.02,249.21,71364848.0 -2017-09-12,249.63,250.09,249.42,250.05,56896027.0 -2017-09-13,249.72,250.21,249.59,250.17,59228002.0 -2017-09-14,249.8,250.32,249.6,250.09,95446349.0 -2017-09-15,248.69,249.29,248.57,249.19,95432382.0 -2017-09-18,249.61,250.12,249.28,249.72,46235238.0 -2017-09-19,250.0,250.07,249.6,249.97,47108148.0 -2017-09-20,250.07,250.19,248.92,250.06,59574083.0 -2017-09-21,249.88,249.98,249.185,249.39,48211398.0 -2017-09-22,249.05,249.63,249.02,249.44,51214032.0 -2017-09-25,249.15,249.5532,248.08,248.93,57064357.0 -2017-09-26,249.42,249.7,248.805,249.08,54081959.0 -2017-09-27,249.88,250.49,248.87,250.05,81001426.0 -2017-09-28,249.73,250.44,249.63,250.35,44778841.0 -2017-09-29,250.34,251.32,250.13,251.23,85578002.0 -2017-10-02,251.49,252.32,251.2926,252.32,59022985.0 -2017-10-03,252.46,252.89,252.23,252.86,66810169.0 -2017-10-04,252.69,253.44,252.56,253.16,55953619.0 -2017-10-05,253.54,254.68,253.196,254.66,63522757.0 -2017-10-06,254.15,254.7008,253.85,254.37,80645998.0 -2017-10-09,254.63,254.7,253.65,253.95,35803138.0 -2017-10-10,254.6,255.05,253.98,254.62,43057363.0 -2017-10-11,254.51,255.02,254.32,255.02,47674325.0 -2017-10-12,254.66,255.06,254.365,254.64,47065144.0 -2017-10-13,255.14,255.27,254.64,254.95,54800435.0 -2017-10-16,255.21,255.51,254.82,255.29,38221675.0 -2017-10-17,255.23,255.52,254.98,255.47,31560964.0 -2017-10-18,255.9,255.95,255.5,255.72,40888330.0 -2017-10-19,254.83,255.83,254.35,255.79,61903788.0 -2017-10-20,256.7,257.14,255.7744,257.11,89176377.0 -2017-10-23,257.48,257.51,256.02,256.11,63915306.0 -2017-10-24,256.6,256.83,256.15,256.56,66935910.0 -2017-10-25,256.18,256.31,254.0,255.29,103715291.0 -2017-10-26,255.99,256.3,255.48,255.62,69797972.0 -2017-10-27,256.47,257.89,255.6254,257.71,85562544.0 -2017-10-30,257.07,257.6,256.41,256.75,54285687.0 -2017-10-31,257.18,257.44,256.805,257.15,60304781.0 -2017-11-01,258.04,258.43,257.07,257.49,54202736.0 -2017-11-02,257.41,257.75,256.19,257.59,56449535.0 -2017-11-03,257.77,258.5,257.3,258.45,59589730.0 -2017-11-06,258.3,259.0,258.22,258.85,49652598.0 -2017-11-07,258.97,259.35,258.09,258.67,57502161.0 -2017-11-08,258.47,259.22,258.15,259.11,50469579.0 -2017-11-09,257.73,258.39,256.36,258.17,93981044.0 -2017-11-10,257.73,258.2926,257.37,258.09,59984662.0 -2017-11-13,257.31,258.59,257.27,258.33,50228648.0 -2017-11-14,257.41,257.85,256.52,257.73,61315152.0 -2017-11-15,256.62,257.22,255.63,256.44,80811525.0 -2017-11-16,257.52,259.04,257.4748,258.62,67777027.0 -2017-11-17,258.22,258.5882,257.77,257.86,75756833.0 -2017-11-20,258.14,258.525,257.86,258.3,48075514.0 -2017-11-21,259.18,260.2,258.2627,259.99,69176799.0 -2017-11-22,260.0,260.15,259.57,259.76,45033392.0 -2017-11-24,260.32,260.48,260.16,260.36,27856514.0 -2017-11-27,260.41,260.75,260.0,260.23,52274922.0 -2017-11-28,260.76,262.9,260.655,262.87,98971719.0 -2017-11-29,263.02,263.63,262.2,262.71,77512102.0 -2017-11-30,263.76,266.05,263.67,265.01,127894389.0 -2017-12-01,264.76,265.31,260.76,264.46,164390902.0 -2017-12-04,266.31,266.8,264.08,264.14,94040560.0 -2017-12-05,264.43,265.15,263.04,263.19,77994544.0 -2017-12-06,262.87,263.73,262.71,263.24,75898566.0 -2017-12-07,263.09,264.43,262.94,264.07,77218569.0 -2017-12-08,264.99,265.52,264.0315,265.51,76563873.0 -2017-12-11,265.58,266.38,265.4793,266.31,83077533.0 -2017-12-12,266.57,267.32,266.345,266.78,85195750.0 -2017-12-13,267.06,267.56,266.65,266.75,102905409.0 -2017-12-14,267.08,267.22,265.6,265.66,100666692.0 -2017-12-15,265.5,267.04,265.39,266.51,144610290.0 -2017-12-18,268.06,268.6,267.98,268.2,83653572.0 -2017-12-19,268.485,268.53,267.09,267.17,82382876.0 -2017-12-20,268.26,268.33,266.69,267.03,76751500.0 -2017-12-21,267.67,268.385,267.3,267.58,67032339.0 -2017-12-22,267.61,267.635,266.9,267.51,78720873.0 -2017-12-26,267.05,267.4377,266.885,267.19,45244433.0 -2017-12-27,267.38,267.73,267.01,267.32,57750986.0 -2017-12-28,267.89,267.92,267.45,267.87,45116139.0 -2017-12-29,268.53,268.55,266.64,266.86,96007424.0 -2018-01-02,267.84,268.81,267.4,268.77,86655749.0 -2018-01-03,268.96,270.64,268.96,270.47,90070416.0 -2018-01-04,271.2,272.16,270.5447,271.61,80636408.0 -2018-01-05,272.51,273.56,271.95,273.42,83523995.0 -2018-01-08,273.31,274.1,272.98,273.92,57319192.0 -2018-01-09,274.4,275.25,274.081,274.54,57253957.0 -2018-01-10,273.68,274.42,272.92,274.12,69574318.0 -2018-01-11,274.75,276.12,274.56,276.12,62361455.0 -2018-01-12,276.42,278.11,276.0819,277.92,90816076.0 -2018-01-16,279.35,280.09,276.18,276.97,106555142.0 -2018-01-17,278.03,280.05,276.97,279.61,113258799.0 -2018-01-18,279.48,279.96,278.58,279.14,100728006.0 -2018-01-19,279.8,280.41,279.14,280.41,140920098.0 -2018-01-22,280.17,282.69,280.11,282.69,91322408.0 -2018-01-23,282.74,283.62,282.37,283.29,97084700.0 -2018-01-24,284.02,284.7,281.84,283.18,134816117.0 -2018-01-25,284.16,284.27,282.405,283.3,84587313.0 -2018-01-26,284.25,286.6285,283.96,286.58,107743119.0 -2018-01-29,285.93,286.43,284.5,284.68,90118337.0 -2018-01-30,282.6,284.736,281.22,281.76,131796419.0 -2018-01-31,282.73,283.3,280.68,281.9,118948131.0 -2018-02-01,281.07,283.06,280.68,281.58,90102470.0 -2018-02-02,280.08,280.23,275.41,275.45,173174790.0 -2018-02-05,273.45,275.85,263.31,263.93,294681816.0 -2018-02-06,259.94,269.7,258.7,269.13,355026782.0 -2018-02-07,268.5,272.36,267.58,267.67,167376100.0 -2018-02-08,268.01,268.17,257.59,257.63,246449505.0 -2018-02-09,260.8,263.61,252.92,261.5,283565315.0 -2018-02-12,263.83,267.01,261.6644,265.34,143735976.0 -2018-02-13,263.97,266.62,263.31,266.0,81223640.0 -2018-02-14,264.31,270.0,264.3,269.59,120735685.0 -2018-02-15,271.57,273.04,268.77,273.03,111200286.0 -2018-02-16,272.32,275.32,272.27,273.11,160420135.0 -2018-02-20,272.03,273.67,270.5,271.4,86369662.0 -2018-02-21,271.9,274.72,269.94,270.05,98883740.0 -2018-02-22,271.1,273.05,269.64,270.4,110511290.0 -2018-02-23,271.79,274.71,271.25,274.71,92766428.0 -2018-02-26,275.93,278.01,275.26,277.9,86491406.0 -2018-02-27,278.11,278.92,274.36,274.43,99099165.0 -2018-02-28,275.68,276.19,271.29,271.65,121907767.0 -2018-03-01,271.41,273.17,266.0,267.7,176855077.0 -2018-03-02,265.8,269.72,264.82,269.08,139083217.0 -2018-03-05,267.73,272.89,267.61,272.19,97307387.0 -2018-03-06,273.3,273.39,271.18,272.88,79213163.0 -2018-03-07,270.42,273.18,270.2,272.78,87063502.0 -2018-03-08,273.55,274.24,272.42,274.1,66901150.0 -2018-03-09,275.7,278.87,275.34,278.87,113625335.0 -2018-03-12,279.2,279.91,278.0801,278.52,71924793.0 -2018-03-13,279.84,280.41,276.03,276.72,91968937.0 -2018-03-14,277.81,278.02,274.67,275.3,105895079.0 -2018-03-15,275.88,276.61,274.43,275.0,83433038.0 -2018-03-16,274.5,275.39,274.14,274.2,100343673.0 -2018-03-19,273.35,274.3957,268.62,270.49,109208442.0 -2018-03-20,270.94,271.67,270.18,270.95,59757271.0 -2018-03-21,270.9,273.27,270.19,270.43,78709578.0 -2018-03-22,267.91,268.87,263.36,263.67,148785916.0 -2018-03-23,264.17,265.02,257.83,258.05,183534751.0 -2018-03-26,262.13,265.43,259.41,265.11,141956102.0 -2018-03-27,266.17,266.77,258.84,260.6,129941445.0 -2018-03-28,260.75,262.64,258.58,259.83,146452306.0 -2018-03-29,261.12,265.26,259.8389,263.15,124244790.0 -2018-04-02,262.55,263.13,254.67,257.47,186286343.0 -2018-04-03,258.87,261.31,256.84,260.77,119956861.0 -2018-04-04,256.75,264.355,256.6,263.56,123715339.0 -2018-04-05,265.55,266.64,264.32,265.64,82652618.0 -2018-04-06,263.42,265.11,258.0,259.72,179521209.0 -2018-04-09,261.37,264.84,259.9356,261.0,105442932.0 -2018-04-10,264.27,266.04,262.98,265.15,105573736.0 -2018-04-11,263.47,265.64,263.39,263.76,91140243.0 -2018-04-12,265.26,267.0,265.06,265.93,68890480.0 -2018-04-13,267.41,267.54,264.01,265.15,85079176.0 -2018-04-16,267.0,268.2,266.07,267.33,63405287.0 -2018-04-17,269.33,270.87,268.75,270.19,64682036.0 -2018-04-18,270.69,271.3,269.87,270.39,57303857.0 -2018-04-19,269.65,269.88,267.72,268.89,77655909.0 -2018-04-20,268.81,269.06,265.61,266.61,99953133.0 -2018-04-23,267.26,267.89,265.35,266.57,65557954.0 -2018-04-24,267.73,267.9762,261.28,262.98,112885452.0 -2018-04-25,262.91,264.13,260.85,263.63,103756753.0 -2018-04-26,264.79,267.2452,264.29,266.31,67731942.0 -2018-04-27,267.0,267.34,265.5,266.56,57053647.0 -2018-04-30,267.26,267.89,264.43,264.51,82182324.0 -2018-05-01,263.87,265.1,262.11,264.98,74203365.0 -2018-05-02,264.76,265.68,262.76,263.2,86368943.0 -2018-05-03,262.26,263.36,259.05,262.62,136311479.0 -2018-05-04,261.52,266.7892,261.15,266.02,91222075.0 -2018-05-07,266.89,268.02,266.11,266.92,55304907.0 -2018-05-08,266.5,267.325,265.15,266.92,67499247.0 -2018-05-09,267.68,269.865,267.09,269.5,59666143.0 -2018-05-10,270.34,272.39,270.22,272.02,72063931.0 -2018-05-11,272.16,273.15,271.58,272.85,59871511.0 -2018-05-14,273.34,274.08,272.36,272.98,54790606.0 -2018-05-15,271.59,271.61,270.03,271.1,87036136.0 -2018-05-16,271.14,272.76,271.11,272.24,53942631.0 -2018-05-17,271.94,273.23,271.13,272.01,56536400.0 -2018-05-18,271.62,272.03,270.93,271.33,64367959.0 -2018-05-21,273.01,273.98,271.3512,273.37,58025875.0 -2018-05-22,273.96,274.25,272.24,272.61,52966358.0 -2018-05-23,271.17,273.39,270.99,273.36,64694184.0 -2018-05-24,272.91,273.22,270.78,272.8,76043827.0 -2018-05-25,272.15,272.86,271.58,272.15,56374755.0 -2018-05-29,270.31,271.17,267.76,269.02,115908607.0 -2018-05-30,270.5,273.11,270.42,272.61,69678449.0 -2018-05-31,272.15,272.49,270.255,270.94,93519941.0 -2018-06-01,272.41,273.94,272.33,273.6,71258411.0 -2018-06-04,274.53,275.185,274.26,274.9,45385166.0 -2018-06-05,275.05,275.53,274.18,275.1,51135038.0 -2018-06-06,275.79,277.52,275.09,277.4,62732215.0 -2018-06-07,277.95,278.28,276.34,277.37,72969402.0 -2018-06-08,276.85,278.25,276.66,278.19,72139719.0 -2018-06-11,278.44,279.37,278.31,278.56,58892515.0 -2018-06-12,279.03,279.33,278.19,278.92,72329028.0 -2018-06-13,279.19,279.48,277.8,278.03,79070610.0 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+820,2003-02-07,84.91,84.99,82.97,83.42,43103500.0 +821,2003-02-10,83.47,84.13,82.65,84.01,45217600.0 +822,2003-02-11,84.37,84.37,82.83,83.43,46586500.0 +823,2003-02-12,83.16,83.62,82.09,82.1,35532800.0 +824,2003-02-13,82.15,82.66,81.0,82.35,57627100.0 +825,2003-02-14,82.37,84.2,81.83,84.15,59487500.0 +826,2003-02-18,84.53,85.8,84.39,85.63,39402200.0 +827,2003-02-19,85.32,85.47,84.28,85.18,31358400.0 +828,2003-02-20,85.21,85.42,84.05,84.33,29255100.0 +829,2003-02-21,84.38,85.74,83.46,85.18,60945500.0 +830,2003-02-24,84.93,85.0,83.59,83.8,30600100.0 +831,2003-02-25,82.95,84.49,82.22,84.47,56236600.0 +832,2003-02-26,84.02,84.53,83.08,83.24,37897700.0 +833,2003-02-27,83.7,84.75,83.16,84.34,49924900.0 +834,2003-02-28,84.47,85.23,84.16,84.9,43768400.0 +835,2003-03-03,85.26,85.78,83.72,84.09,42702000.0 +836,2003-03-04,83.95,84.01,82.65,82.75,31332500.0 +837,2003-03-05,82.61,83.54,82.36,83.45,42516100.0 +838,2003-03-06,82.87,83.52,82.47,82.75,40887700.0 +839,2003-03-07,81.61,83.99,81.43,83.32,63528300.0 +840,2003-03-10,82.6,82.86,81.1,81.32,40958500.0 +841,2003-03-11,81.48,82.0,80.48,80.52,48006600.0 +842,2003-03-12,80.38,81.1,79.38,81.06,62352800.0 +843,2003-03-13,82.18,83.91,81.53,83.86,71888600.0 +844,2003-03-14,84.2,84.77,83.35,84.13,63768600.0 +845,2003-03-17,83.46,86.95,83.22,86.78,88315800.0 +846,2003-03-18,87.15,87.35,86.28,87.29,51091800.0 +847,2003-03-19,87.28,88.16,86.68,87.96,49668100.0 +848,2003-03-20,87.33,88.59,86.35,88.15,67479100.0 +849,2003-03-21,88.8,89.88,87.93,89.67,71266000.0 +850,2003-03-24,88.02,88.14,86.35,86.69,65434000.0 +851,2003-03-25,86.74,88.26,86.44,87.52,61178100.0 +852,2003-03-26,87.56,87.85,86.8,87.08,45772400.0 +853,2003-03-27,86.4,87.66,85.99,87.15,53294500.0 +854,2003-03-28,86.47,87.28,86.25,86.71,32583500.0 +855,2003-03-31,85.35,86.59,84.4,84.74,60494400.0 +856,2003-04-01,85.25,86.39,84.91,86.04,53914800.0 +857,2003-04-02,87.54,88.77,87.5,88.12,50507800.0 +858,2003-04-03,88.87,88.99,87.65,87.7,49028500.0 +859,2003-04-04,88.43,88.59,87.62,88.22,36262500.0 +860,2003-04-07,90.34,90.85,87.97,88.05,69833100.0 +861,2003-04-08,88.3,88.65,87.71,88.19,39753900.0 +862,2003-04-09,88.36,89.1,86.77,87.03,55693900.0 +863,2003-04-10,87.095,87.63,85.71,87.51,42155800.0 +864,2003-04-11,88.16,88.701,86.86,87.15,47738800.0 +865,2003-04-14,87.47,89.0,87.0,88.95,36967900.0 +866,2003-04-15,88.84,89.78,88.42,89.78,49989400.0 +867,2003-04-16,89.91,90.066,88.03,88.25,51820400.0 +868,2003-04-17,88.3,89.72,88.194,89.56,37487600.0 +869,2003-04-21,89.86,90.16,89.06,89.65,32085800.0 +870,2003-04-22,89.1,91.56,88.89,91.34,59870000.0 +871,2003-04-23,91.62,92.35,91.24,92.18,44254100.0 +872,2003-04-24,91.53,92.08,90.96,91.36,50038400.0 +873,2003-04-25,91.3,91.47,90.02,90.23,43926700.0 +874,2003-04-28,90.44,92.19,90.3,91.79,46471900.0 +875,2003-04-29,92.14,92.8,91.4,91.79,52347400.0 +876,2003-04-30,91.91,92.57,91.41,91.91,48919400.0 +877,2003-05-01,91.92,92.731,90.5,91.9,50419000.0 +878,2003-05-02,91.56,93.47,91.491,93.21,50239900.0 +879,2003-05-05,93.38,93.78,92.5,93.03,35456200.0 +880,2003-05-06,93.04,94.38,93.0,93.91,44587300.0 +881,2003-05-07,93.42,94.14,92.972,93.39,41443000.0 +882,2003-05-08,92.52,93.337,92.28,92.45,40774900.0 +883,2003-05-09,92.83,93.8,92.61,93.73,33653700.0 +884,2003-05-12,93.5,95.12,93.28,94.88,35688500.0 +885,2003-05-13,94.534,95.189,94.26,94.71,39299000.0 +886,2003-05-14,95.09,95.24,93.91,94.51,32236900.0 +887,2003-05-15,94.89,95.33,94.25,95.11,43939900.0 +888,2003-05-16,94.89,95.45,94.26,94.87,38914500.0 +889,2003-05-19,94.15,94.8905,92.33,92.65,43242300.0 +890,2003-05-20,92.82,93.03,91.597,92.46,55457600.0 +891,2003-05-21,92.11,92.88,91.91,92.65,49859600.0 +892,2003-05-22,92.95,94.05,92.68,93.57,38463900.0 +893,2003-05-23,93.53,93.98,93.14,93.57,26158600.0 +894,2003-05-27,93.3,95.84,93.18,95.4,43739500.0 +895,2003-05-28,95.85,96.47,95.43,95.67,37752100.0 +896,2003-05-29,95.88,96.82,95.08,95.42,50982100.0 +897,2003-05-30,95.901,97.09,95.56,96.95,52541600.0 +898,2003-06-02,97.53,98.45,96.67,97.35,50711700.0 +899,2003-06-03,97.15,97.84,96.85,97.75,39555300.0 +900,2003-06-04,97.66,99.35,97.569,99.16,49443600.0 +901,2003-06-05,98.584,99.65,98.27,99.65,46432100.0 +902,2003-06-06,100.4,101.4,99.13,99.26,60401100.0 +903,2003-06-09,98.769,99.1,97.77,98.25,38400100.0 +904,2003-06-10,98.46,99.26,98.19,99.25,30120200.0 +905,2003-06-11,99.16,100.39,98.71,100.3,37641900.0 +906,2003-06-12,100.754,100.9,99.62,100.61,36491400.0 +907,2003-06-13,100.61,100.749,98.95,99.56,48640800.0 +908,2003-06-16,99.96,101.7,99.8,101.66,36422100.0 +909,2003-06-17,102.07,102.179,101.23,101.66,36824400.0 +910,2003-06-18,101.29,102.14,101.0,101.57,35552200.0 +911,2003-06-19,101.64,101.73,99.84,100.02,43570700.0 +912,2003-06-20,100.39,100.5,99.42,99.44,41554900.0 +913,2003-06-23,99.45,99.66,97.92,98.42,34344600.0 +914,2003-06-24,98.223,99.09,98.02,98.52,36237900.0 +915,2003-06-25,98.53,99.44,97.53,97.53,47864500.0 +916,2003-06-26,97.78,98.979,96.96,98.8,33552000.0 +917,2003-06-27,98.747,99.19,97.58,97.66,54216000.0 +918,2003-06-30,98.22,98.67,97.47,97.63,33865300.0 +919,2003-07-01,97.253,98.85,96.43,98.53,51418400.0 +920,2003-07-02,98.77,99.79,98.57,99.77,34679700.0 +921,2003-07-03,99.07,99.85,97.904,98.74,30868400.0 +922,2003-07-07,99.653,100.9,99.65,100.7,31432300.0 +923,2003-07-08,100.5,101.29,100.17,101.15,33159700.0 +924,2003-07-09,100.92,101.4,100.03,100.58,36632000.0 +925,2003-07-10,99.84,100.04,98.63,99.3,49850500.0 +926,2003-07-11,99.39,100.45,99.39,100.24,40079100.0 +927,2003-07-14,101.2,101.9,99.915,100.73,42156900.0 +928,2003-07-15,101.38,101.46,99.95,100.51,63632700.0 +929,2003-07-16,100.81,100.87,99.23,99.92,40217600.0 +930,2003-07-17,99.15,99.88,98.16,98.5,48928600.0 +931,2003-07-18,99.02,99.8,98.46,99.51,35705800.0 +932,2003-07-21,99.45,99.494,97.85,98.28,35142700.0 +933,2003-07-22,98.69,99.41,97.91,99.17,50010600.0 +934,2003-07-23,99.21,99.45,98.28,99.24,37302100.0 +935,2003-07-24,99.99,100.34,98.37,98.49,41176100.0 +936,2003-07-25,98.66,100.29,98.04,100.23,43329600.0 +937,2003-07-28,100.37,100.98,99.67,99.86,34417000.0 +938,2003-07-29,100.14,100.27,98.68,99.4,53571600.0 +939,2003-07-30,99.6,99.79,98.93,99.16,28428700.0 +940,2003-07-31,99.98,100.94,99.05,99.39,59123300.0 +941,2003-08-01,99.19,99.53,98.24,98.51,49326900.0 +942,2003-08-04,98.31,99.0,97.0,98.51,55546900.0 +943,2003-08-05,98.411,98.76,96.34,96.42,61749600.0 +944,2003-08-06,96.69,98.06,96.423,96.98,51183600.0 +945,2003-08-07,97.17,98.07,96.758,98.0,43549000.0 +946,2003-08-08,98.32,98.547,97.76,98.28,27359700.0 +947,2003-08-11,98.26,99.04,97.84,98.65,34638500.0 +948,2003-08-12,98.71,99.59,98.42,99.55,43366600.0 +949,2003-08-13,99.82,99.849,98.53,99.04,36158300.0 +950,2003-08-14,99.1,99.75,98.45,99.31,36259400.0 +951,2003-08-15,99.36,99.79,99.12,99.62,12567600.0 +952,2003-08-18,99.93,100.6,99.74,100.48,22951800.0 +953,2003-08-19,100.687,100.94,100.0,100.86,37460700.0 +954,2003-08-20,100.29,100.89,100.164,100.45,23206200.0 +955,2003-08-21,101.05,101.52,100.4,100.77,46553400.0 +956,2003-08-22,101.2,101.818,99.73,99.77,52046700.0 +957,2003-08-25,99.71,100.83,99.28,99.93,23495600.0 +958,2003-08-26,99.5,100.39,98.83,100.11,45084500.0 +959,2003-08-27,100.05,100.36,99.57,100.14,18987900.0 +960,2003-08-28,100.4,101.0,99.66,100.76,27427400.0 +961,2003-08-29,100.61,101.48,100.48,101.44,28721900.0 +962,2003-09-02,101.64,102.88,101.05,102.8,50864300.0 +963,2003-09-03,103.03,103.7,102.78,103.36,44927200.0 +964,2003-09-04,103.1,103.55,102.76,103.41,28404900.0 +965,2003-09-05,102.94,103.549,102.4,102.83,31656500.0 +966,2003-09-08,103.04,103.88,102.93,103.68,32666300.0 +967,2003-09-09,103.37,103.46,102.68,103.0,35084100.0 +968,2003-09-10,102.53,102.8,101.55,101.96,45953600.0 +969,2003-09-11,102.1,102.76,101.84,102.26,38801600.0 +970,2003-09-12,101.91,102.64,101.35,102.45,42443200.0 +971,2003-09-15,102.52,102.63,101.95,102.09,21321900.0 +972,2003-09-16,102.232,103.64,102.17,103.58,37956300.0 +973,2003-09-17,103.48,103.785,103.05,103.38,32073000.0 +974,2003-09-18,103.4,104.7,103.17,104.6,30295300.0 +975,2003-09-19,104.27,104.6,103.4,103.67,34385900.0 +976,2003-09-22,102.85,102.96,102.03,102.55,36704300.0 +977,2003-09-23,102.59,103.29,102.36,102.94,32514100.0 +978,2003-09-24,103.118,103.22,101.07,101.11,41720700.0 +979,2003-09-25,101.41,101.88,100.2,100.28,53188100.0 +980,2003-09-26,100.44,100.66,99.846,99.95,42916300.0 +981,2003-09-29,100.3,100.99,99.79,100.93,36793100.0 +982,2003-09-30,100.48,100.76,99.25,99.95,70777300.0 +983,2003-10-01,100.24,102.18,100.2,102.08,65806400.0 +984,2003-10-02,101.93,102.56,101.63,102.45,44639600.0 +985,2003-10-03,103.67,104.28,103.08,103.39,48822200.0 +986,2003-10-06,103.482,103.99,103.2,103.86,20246500.0 +987,2003-10-07,103.26,104.31,102.91,104.26,42636600.0 +988,2003-10-08,104.33,104.39,103.41,104.0,30944800.0 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+2535,2009-11-30,109.48,110.2,108.12,109.94,160662425.0 +2536,2009-12-01,110.92,111.66,110.73,111.3,159532424.0 +2537,2009-12-02,111.28,112.01,110.92,111.25,131843464.0 +2538,2009-12-03,111.55,112.18,110.29,110.38,167038303.0 +2539,2009-12-04,111.84,112.38,110.04,111.01,274875662.0 +2540,2009-12-07,110.91,111.53,110.49,110.84,127766350.0 +2541,2009-12-08,110.04,110.77,109.27,109.61,169715623.0 +2542,2009-12-09,109.58,110.18,109.02,110.02,154961652.0 +2543,2009-12-10,110.7,111.12,110.45,110.64,137957786.0 +2544,2009-12-11,111.11,111.36,110.61,111.11,124798122.0 +2545,2009-12-14,111.87,112.0,111.13,111.87,106654631.0 +2546,2009-12-15,111.46,111.92,111.0,111.35,120349844.0 +2547,2009-12-16,111.8,112.13,111.27,111.52,155069441.0 +2548,2009-12-17,110.72,110.93,110.08,110.18,183277623.0 +2549,2009-12-18,110.2,110.3,109.28,110.21,172641677.0 +2550,2009-12-21,110.76,111.7,110.76,111.33,117939912.0 +2551,2009-12-22,111.57,111.97,111.43,111.73,91672192.0 +2552,2009-12-23,112.0,112.11,111.5,111.95,111740397.0 +2553,2009-12-24,112.19,112.6,112.0,112.48,39677470.0 +2554,2009-12-28,112.9,112.99,112.32,112.72,87374107.0 +2555,2009-12-29,113.01,113.03,112.55,112.56,80506177.0 +2556,2009-12-30,112.23,112.65,112.17,112.52,72969976.0 +2557,2009-12-31,112.77,112.8,111.39,111.44,90153924.0 +2558,2010-01-04,112.37,113.39,111.51,113.33,118857369.0 +2559,2010-01-05,113.26,113.68,112.85,113.63,111519230.0 +2560,2010-01-06,113.52,113.99,113.43,113.71,116017127.0 +2561,2010-01-07,113.5,114.33,113.18,114.19,130502017.0 +2562,2010-01-08,113.89,114.62,113.66,114.57,126357911.0 +2563,2010-01-11,115.08,115.13,114.24,114.73,105905179.0 +2564,2010-01-12,113.97,114.21,113.22,113.66,166498092.0 +2565,2010-01-13,113.95,114.94,113.37,114.62,161730350.0 +2566,2010-01-14,114.49,115.14,114.42,114.93,115646960.0 +2567,2010-01-15,114.73,114.84,113.2,113.64,212252769.0 +2568,2010-01-19,113.62,115.13,113.59,115.06,138671890.0 +2569,2010-01-20,114.28,114.45,112.98,113.89,216330645.0 +2570,2010-01-21,113.92,114.27,111.56,111.7,344747028.0 +2571,2010-01-22,111.2,111.74,109.09,109.21,345627282.0 +2572,2010-01-25,110.21,110.41,109.41,109.77,186751367.0 +2573,2010-01-26,109.34,110.47,109.04,109.31,210788669.0 +2574,2010-01-27,109.17,110.08,108.33,109.83,271482263.0 +2575,2010-01-28,110.19,110.25,107.91,108.57,315523641.0 +2576,2010-01-29,109.04,109.8,107.22,107.39,310523229.0 +2577,2010-02-01,108.15,109.07,107.5,109.06,187376305.0 +2578,2010-02-02,109.26,110.59,108.88,110.38,216202000.0 +2579,2010-02-03,109.88,110.48,109.51,109.83,172541928.0 +2580,2010-02-04,108.98,109.03,106.42,106.44,356204273.0 +2581,2010-02-05,106.56,106.88,104.58,106.66,493483874.0 +2582,2010-02-08,106.74,107.33,105.81,105.89,223943088.0 +2583,2010-02-09,107.13,108.15,106.27,107.22,337698759.0 +2584,2010-02-10,107.05,107.6,106.11,107.01,240337447.0 +2585,2010-02-11,106.87,108.25,106.25,108.13,223348428.0 +2586,2010-02-12,106.99,108.1,106.51,108.04,304335521.0 +2587,2010-02-16,108.86,109.85,107.82,109.74,159025359.0 +2588,2010-02-17,110.27,110.41,109.74,110.26,168609976.0 +2589,2010-02-18,110.08,111.14,110.04,110.91,192806015.0 +2590,2010-02-19,110.62,111.57,110.36,111.14,215567204.0 +2591,2010-02-22,111.55,111.58,110.83,111.16,132148949.0 +2592,2010-02-23,110.86,111.2,109.52,109.81,206922860.0 +2593,2010-02-24,110.14,111.0,109.86,110.82,176170766.0 +2594,2010-02-25,109.24,110.75,108.94,110.67,259023227.0 +2595,2010-02-26,110.77,111.12,110.11,110.74,173425228.0 +2596,2010-03-01,111.2,112.0,111.17,111.89,147507319.0 +2597,2010-03-02,112.37,112.74,112.0,112.2,160920705.0 +2598,2010-03-03,112.49,112.97,112.02,112.3,150552463.0 +2599,2010-03-04,112.45,112.8,112.03,112.64,135526954.0 +2600,2010-03-05,113.37,114.34,113.1,114.25,176047042.0 +2601,2010-03-08,114.26,114.52,114.07,114.27,114525089.0 +2602,2010-03-09,113.93,114.99,113.87,114.46,154378793.0 +2603,2010-03-10,114.51,115.28,114.41,114.97,185854165.0 +2604,2010-03-11,114.7,115.48,114.35,115.45,160381449.0 +2605,2010-03-12,115.95,115.97,115.14,115.46,161925254.0 +2606,2010-03-15,115.26,115.57,114.6,115.49,146532076.0 +2607,2010-03-16,115.81,116.52,115.49,116.41,168561421.0 +2608,2010-03-17,116.76,117.48,116.42,117.1,177203017.0 +2609,2010-03-18,117.11,117.27,116.57,117.04,170817.0 +2610,2010-03-19,115.97,117.29,115.52,115.97,226519190.0 +2611,2010-03-22,115.31,116.8,115.24,116.59,184083906.0 +2612,2010-03-23,116.76,117.51,116.38,117.41,182625254.0 +2613,2010-03-24,116.97,117.43,115.58,116.84,196061714.0 +2614,2010-03-25,117.63,118.17,116.51,116.65,223197727.0 +2615,2010-03-26,116.87,117.42,116.12,116.58,205625701.0 +2616,2010-03-29,117.17,117.53,116.69,117.32,134431758.0 +2617,2010-03-30,117.46,117.83,116.91,117.4,145681592.0 +2618,2010-03-31,116.95,117.52,116.61,117.0,160932206.0 +2619,2010-04-01,117.8,118.25,117.1,117.8,161083608.0 +2620,2010-04-05,118.25,118.84,117.92,118.76,105621743.0 +2621,2010-04-06,118.42,119.25,118.29,119.04,110194919.0 +2622,2010-04-07,118.8,119.36,117.81,118.36,184432309.0 +2623,2010-04-08,117.95,118.97,117.6,118.77,158495871.0 +2624,2010-04-09,119.02,119.6,118.8,119.55,132701705.0 +2625,2010-04-12,119.7,120.05,119.56,119.74,110200946.0 +2626,2010-04-13,119.62,120.04,119.0,119.83,121901060.0 +2627,2010-04-14,120.27,121.19,120.08,121.19,161608989.0 +2628,2010-04-15,120.99,121.57,120.95,121.29,144514805.0 +2629,2010-04-16,120.86,121.29,118.75,119.36,366379413.0 +2630,2010-04-19,119.01,119.93,118.47,119.81,217625461.0 +2631,2010-04-20,120.56,120.98,119.87,120.88,157457380.0 +2632,2010-04-21,120.95,121.23,119.99,120.66,192782906.0 +2633,2010-04-22,119.81,121.17,119.12,121.02,239108192.0 +2634,2010-04-23,120.94,121.86,120.63,121.81,177262089.0 +2635,2010-04-26,121.85,122.12,121.23,121.35,143347665.0 +2636,2010-04-27,120.65,121.34,118.25,118.48,355560974.0 +2637,2010-04-28,119.05,119.68,118.27,119.38,300539227.0 +2638,2010-04-29,120.1,121.11,120.07,120.86,193598705.0 +2639,2010-04-30,120.88,121.01,118.78,118.81,269859816.0 +2640,2010-05-03,119.38,120.68,119.2,120.35,182672396.0 +2641,2010-05-04,119.01,119.03,116.92,117.52,360072452.0 +2642,2010-05-05,116.56,117.8,115.97,116.82,328745969.0 +2643,2010-05-06,116.26,117.0,105.0,112.942,636121805.0 +2644,2010-05-07,112.64,113.77,109.41,111.26,636806832.0 +2645,2010-05-10,115.81,116.65,114.91,116.16,395942202.0 +2646,2010-05-11,115.07,117.36,114.91,115.83,314227758.0 +2647,2010-05-12,116.29,117.62,116.09,117.45,235346103.0 +2648,2010-05-13,117.13,117.68,115.89,115.99,234328751.0 +2649,2010-05-14,115.12,115.33,112.87,113.89,345536506.0 +2650,2010-05-17,114.2,114.52,111.77,113.95,325702142.0 +2651,2010-05-18,114.88,115.22,112.03,112.4,360122928.0 +2652,2010-05-19,111.77,112.77,110.36,111.76,394353890.0 +2653,2010-05-20,109.38,109.89,107.47,107.54,529155816.0 +2654,2010-05-21,105.91,109.38,105.36,109.11,500625583.0 +2655,2010-05-24,108.52,109.39,107.61,107.71,269079858.0 +2656,2010-05-25,105.11,107.87,104.38,107.82,395832912.0 +2657,2010-05-26,108.48,109.47,106.85,107.17,348931025.0 +2658,2010-05-27,109.19,110.8,108.78,110.76,300394583.0 +2659,2010-05-28,110.64,110.72,108.85,109.37,297534031.0 +2660,2010-06-01,108.35,109.95,107.37,107.53,277410545.0 +2661,2010-06-02,108.08,110.34,107.51,110.33,240010348.0 +2662,2010-06-03,110.65,111.06,109.58,110.71,226453184.0 +2663,2010-06-04,108.61,109.33,106.46,106.82,395563854.0 +2664,2010-06-07,107.2,107.61,105.41,105.49,264299273.0 +2665,2010-06-08,105.57,106.83,104.65,106.62,357532564.0 +2666,2010-06-09,107.24,108.28,105.6,106.05,267756304.0 +2667,2010-06-10,107.86,109.28,106.04,109.15,317694394.0 +2668,2010-06-11,108.19,109.75,108.12,109.68,214061156.0 +2669,2010-06-14,110.52,111.12,109.4,109.51,206968051.0 +2670,2010-06-15,110.28,112.1,110.09,112.0,237669665.0 +2671,2010-06-16,111.42,112.42,111.2,111.96,216095034.0 +2672,2010-06-17,112.28,112.33,111.05,112.14,263055167.0 +2673,2010-06-18,111.83,112.13,111.37,111.73,173821764.0 +2674,2010-06-21,113.12,113.2,110.79,111.41,212852834.0 +2675,2010-06-22,111.41,111.9,109.41,109.57,239055412.0 +2676,2010-06-23,109.64,110.03,108.48,109.23,254527875.0 +2677,2010-06-24,108.69,108.83,107.14,107.42,268265029.0 +2678,2010-06-25,107.74,108.42,106.77,107.87,237712217.0 +2679,2010-06-28,108.03,108.32,107.14,107.53,168908508.0 +2680,2010-06-29,106.02,107.51,103.55,104.21,373318268.0 +2681,2010-06-30,103.92,104.88,102.88,103.22,283318911.0 +2682,2010-07-01,103.15,103.49,101.13,102.76,382651225.0 +2683,2010-07-02,103.11,103.42,101.62,102.2,233291686.0 +2684,2010-07-06,103.64,104.37,101.88,102.87,255782116.0 +2685,2010-07-07,103.13,106.24,103.02,106.11,253429307.0 +2686,2010-07-08,107.0,107.28,105.91,107.16,210678561.0 +2687,2010-07-09,107.13,107.97,106.93,107.96,144930550.0 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+3640,2014-04-23,187.82,187.92,187.3,187.45,73869384.0 +3641,2014-04-24,188.37,188.39,186.93,187.83,88169916.0 +3642,2014-04-25,187.22,187.33,185.87,186.29,100380205.0 +3643,2014-04-28,187.05,187.69,184.96,186.88,135121094.0 +3644,2014-04-29,187.48,188.04,187.08,187.75,84097551.0 +3645,2014-04-30,187.44,188.5,187.18,188.31,101507717.0 +3646,2014-05-01,188.22,188.84,187.73,188.33,93019095.0 +3647,2014-05-02,188.31,189.14,187.78,188.06,98121662.0 +3648,2014-05-05,187.14,188.55,186.62,188.42,75882739.0 +3649,2014-05-06,188.0,188.13,186.74,186.78,85454226.0 +3650,2014-05-07,187.41,187.97,186.01,187.88,106500480.0 +3651,2014-05-08,187.71,189.05,187.08,187.68,93617513.0 +3652,2014-05-09,187.71,188.04,186.83,187.96,83678568.0 +3653,2014-05-12,188.8,189.88,188.0,189.79,86940045.0 +3654,2014-05-13,190.04,190.42,189.77,189.96,66453965.0 +3655,2014-05-14,189.79,189.88,188.79,189.06,72366848.0 +3656,2014-05-15,188.68,188.72,186.48,187.4,154956399.0 +3657,2014-05-16,187.51,188.13,186.72,188.05,97457678.0 +3658,2014-05-19,187.69,188.89,187.52,188.74,63839398.0 +3659,2014-05-20,188.65,188.67,187.07,187.55,111644478.0 +3660,2014-05-21,188.09,189.22,188.06,189.13,89093285.0 +3661,2014-05-22,189.18,189.98,188.86,189.59,61549345.0 +3662,2014-05-23,189.76,190.48,189.59,190.35,60156088.0 +3663,2014-05-27,191.06,191.58,190.95,191.52,72010355.0 +3664,2014-05-28,191.52,191.82,191.06,191.38,66722865.0 +3665,2014-05-29,191.82,192.4,191.33,192.37,64376573.0 +3666,2014-05-30,192.19,192.8,192.03,192.68,76315640.0 +3667,2014-06-02,192.95,192.99,191.97,192.9,64655648.0 +3668,2014-06-03,192.43,192.9,192.25,192.8,65047193.0 +3669,2014-06-04,192.47,193.3,192.27,193.19,55529372.0 +3670,2014-06-05,193.41,194.65,192.7,194.45,92102592.0 +3671,2014-06-06,194.87,195.43,194.78,195.38,78696219.0 +3672,2014-06-09,195.35,196.05,195.17,195.58,65118828.0 +3673,2014-06-10,195.34,195.64,194.92,195.6,57129440.0 +3674,2014-06-11,194.9,195.12,194.48,194.92,68772479.0 +3675,2014-06-12,194.69,194.8,193.11,193.54,106350200.0 +3676,2014-06-13,193.92,194.32,193.3,194.13,82017278.0 +3677,2014-06-16,193.89,194.7,193.66,194.29,87424332.0 +3678,2014-06-17,194.02,194.97,193.81,194.83,84833876.0 +3679,2014-06-18,194.83,196.37,194.4,196.26,105266767.0 +3680,2014-06-19,196.43,196.6,195.8,196.48,85928920.0 +3681,2014-06-20,196.03,196.1,195.7,195.94,100587108.0 +3682,2014-06-23,195.99,196.05,195.52,195.88,70611486.0 +3683,2014-06-24,195.53,196.5,194.48,194.7,96236917.0 +3684,2014-06-25,194.29,195.78,194.25,195.58,82781912.0 +3685,2014-06-26,195.61,195.63,194.13,195.44,84311822.0 +3686,2014-06-27,194.98,195.88,194.89,195.82,71453616.0 +3687,2014-06-30,195.7,196.17,195.53,195.72,70504228.0 +3688,2014-07-01,196.2,197.63,196.13,197.03,90470121.0 +3689,2014-07-02,197.05,197.48,196.96,197.23,52474832.0 +3690,2014-07-03,197.79,198.29,197.64,198.2,52938832.0 +3691,2014-07-07,197.82,197.98,197.22,197.51,61696447.0 +3692,2014-07-08,197.15,197.22,195.76,196.24,108142552.0 +3693,2014-07-09,196.73,197.3,196.31,197.12,72992322.0 +3694,2014-07-10,195.22,196.86,195.06,196.34,99040407.0 +3695,2014-07-11,196.22,196.75,195.78,196.61,64243410.0 +3696,2014-07-14,197.61,197.86,197.44,197.6,58657919.0 +3697,2014-07-15,197.72,198.1,196.36,197.23,111346230.0 +3698,2014-07-16,198.11,198.26,197.42,197.96,80073242.0 +3699,2014-07-17,197.35,198.1,195.43,195.71,145398459.0 +3700,2014-07-18,196.35,197.91,196.24,197.71,124330419.0 +3701,2014-07-21,197.09,197.5,196.43,197.34,67591618.0 +3702,2014-07-22,198.01,198.56,197.87,198.2,67677602.0 +3703,2014-07-23,198.5,198.85,198.1,198.64,65611830.0 +3704,2014-07-24,198.83,199.06,198.45,198.65,56888093.0 +3705,2014-07-25,198.09,198.26,197.33,197.72,76837257.0 +3706,2014-07-28,197.76,198.09,196.62,197.8,69258785.0 +3707,2014-07-29,198.17,198.45,196.92,196.95,80466351.0 +3708,2014-07-30,197.65,197.91,196.16,196.98,104222452.0 +3709,2014-07-31,195.61,195.78,192.97,193.09,183479441.0 +3710,2014-08-01,192.56,193.76,191.57,192.5,189260864.0 +3711,2014-08-04,192.87,194.3,192.05,193.89,91340487.0 +3712,2014-08-05,193.1,193.6,191.31,192.01,152690379.0 +3713,2014-08-06,191.11,192.89,191.08,192.07,94818317.0 +3714,2014-08-07,192.94,193.13,190.55,191.03,135733421.0 +3715,2014-08-08,191.46,193.37,190.95,193.24,117014384.0 +3716,2014-08-11,193.97,194.66,193.71,193.8,74543691.0 +3717,2014-08-12,193.61,194.15,192.94,193.53,73631640.0 +3718,2014-08-13,194.29,195.06,193.96,194.84,68926041.0 +3719,2014-08-14,195.16,195.76,194.98,195.76,57370793.0 +3720,2014-08-15,196.47,196.65,194.31,195.72,139950669.0 +3721,2014-08-18,196.8,197.45,196.69,197.36,75424360.0 +3722,2014-08-19,197.84,198.54,197.44,198.39,59134709.0 +3723,2014-08-20,198.12,199.16,198.08,198.92,72762541.0 +3724,2014-08-21,199.09,199.76,198.93,199.5,67790690.0 +3725,2014-08-22,199.34,199.69,198.74,199.19,76107359.0 +3726,2014-08-25,200.14,200.59,199.15,200.2,63855022.0 +3727,2014-08-26,200.33,200.82,200.28,200.33,47298324.0 +3728,2014-08-27,200.43,200.57,199.94,200.25,47873708.0 +3729,2014-08-28,199.59,200.27,199.39,200.14,58330373.0 +3730,2014-08-29,200.45,200.73,199.82,200.71,65906598.0 +3731,2014-09-02,200.97,201.0,199.86,200.61,72425793.0 +3732,2014-09-03,201.38,201.41,200.22,200.5,57461742.0 +3733,2014-09-04,200.84,201.58,199.66,200.21,85236442.0 +3734,2014-09-05,200.17,201.19,199.41,201.11,102176784.0 +3735,2014-09-08,200.92,201.21,200.0,200.59,64145745.0 +3736,2014-09-09,200.41,200.55,198.91,199.32,88590876.0 +3737,2014-09-10,199.43,200.2,198.77,200.07,67251103.0 +3738,2014-09-11,199.27,200.33,199.12,200.3,66823558.0 +3739,2014-09-12,200.1,200.12,198.56,199.13,117478516.0 +3740,2014-09-15,199.16,199.32,198.38,198.98,76401421.0 +3741,2014-09-16,198.61,200.84,198.5,200.48,116200722.0 +3742,2014-09-17,200.77,201.68,199.75,200.75,151265896.0 +3743,2014-09-18,201.36,201.85,201.1,201.82,94990300.0 +3744,2014-09-19,201.52,201.9,200.29,200.7,121649147.0 +3745,2014-09-22,200.35,200.38,198.73,199.15,125552758.0 +3746,2014-09-23,198.43,199.26,197.95,198.01,111393319.0 +3747,2014-09-24,198.04,199.69,197.52,199.56,107275635.0 +3748,2014-09-25,199.04,199.05,196.27,196.34,150300028.0 +3749,2014-09-26,196.7,198.39,196.42,197.9,103546740.0 +3750,2014-09-29,196.2,197.89,196.05,197.54,95111605.0 +3751,2014-09-30,197.69,198.3,196.61,197.02,131302082.0 +3752,2014-10-01,196.7,196.77,193.91,194.35,177797862.0 +3753,2014-10-02,194.18,195.06,192.35,194.38,157285182.0 +3754,2014-10-03,195.68,196.94,195.08,196.52,121568769.0 +3755,2014-10-06,197.34,197.6,195.58,196.29,104778335.0 +3756,2014-10-07,195.28,195.72,193.22,193.26,147913498.0 +3757,2014-10-08,193.37,196.92,192.36,196.64,186461453.0 +3758,2014-10-09,196.33,196.6,192.58,192.74,210704601.0 +3759,2014-10-10,192.69,193.65,190.49,190.54,221908954.0 +3760,2014-10-13,190.46,191.15,187.3,187.41,230938833.0 +3761,2014-10-14,188.42,189.82,187.04,187.7,215846527.0 +3762,2014-10-15,185.16,187.69,181.92,186.43,380714598.0 +3763,2014-10-16,183.06,187.58,182.89,186.27,270391488.0 +3764,2014-10-17,188.42,189.75,187.62,188.47,214624921.0 +3765,2014-10-20,188.13,190.45,188.07,190.3,130010813.0 +3766,2014-10-21,191.68,194.2,191.48,194.07,154948579.0 +3767,2014-10-22,194.41,194.91,192.61,192.69,151822409.0 +3768,2014-10-23,194.62,196.2,194.26,194.93,154944169.0 +3769,2014-10-24,195.25,196.49,194.49,196.43,117927286.0 +3770,2014-10-27,195.73,196.45,195.03,196.16,82953689.0 +3771,2014-10-28,196.82,198.42,196.73,198.41,106735936.0 +3772,2014-10-29,198.55,199.12,196.8,198.11,142557417.0 +3773,2014-10-30,197.58,199.95,197.4,199.38,113329976.0 +3774,2014-10-31,201.78,201.82,200.77,201.66,146902554.0 +3775,2014-11-03,201.92,202.45,201.31,201.77,93734143.0 +3776,2014-11-04,201.23,201.6,200.06,201.07,93342777.0 +3777,2014-11-05,202.54,202.59,201.45,202.34,91708574.0 +3778,2014-11-06,202.39,203.26,201.64,203.15,107089076.0 +3779,2014-11-07,203.17,203.6,202.61,203.34,89539712.0 +3780,2014-11-10,203.38,204.04,203.13,203.98,66318964.0 +3781,2014-11-11,204.06,204.31,203.65,204.18,54499375.0 +3782,2014-11-12,203.35,204.24,203.31,203.96,90120295.0 +3783,2014-11-13,204.16,204.83,203.21,204.19,85357918.0 +3784,2014-11-14,204.1,204.49,203.72,204.24,80417514.0 +3785,2014-11-17,203.85,204.58,203.65,204.37,80440954.0 +3786,2014-11-18,204.44,205.92,204.44,205.55,76068107.0 +3787,2014-11-19,205.31,205.55,204.3,205.22,82373009.0 +3788,2014-11-20,204.26,205.71,204.18,205.58,72840326.0 +3789,2014-11-21,207.64,207.84,205.98,206.68,142327285.0 +3790,2014-11-24,207.17,207.39,206.91,207.26,65880759.0 +3791,2014-11-25,207.54,207.79,206.8,207.11,79108301.0 +3792,2014-11-26,207.29,207.76,207.03,207.64,62167832.0 +3793,2014-11-28,207.49,207.87,206.91,207.2,57890088.0 +3794,2014-12-01,206.4,206.54,205.38,205.76,103968354.0 +3795,2014-12-02,205.81,207.34,205.78,207.09,74507192.0 +3796,2014-12-03,207.3,208.15,207.1,207.89,68951968.0 +3797,2014-12-04,207.54,208.27,206.7,207.66,91316591.0 +3798,2014-12-05,207.87,208.47,207.55,208.0,91025470.0 +3799,2014-12-08,207.52,208.12,205.93,206.61,108588152.0 +3800,2014-12-09,204.37,206.6,203.91,206.47,125180054.0 +3801,2014-12-10,205.91,205.98,202.93,203.16,159856394.0 +3802,2014-12-11,203.88,206.19,203.71,204.19,159012805.0 +3803,2014-12-12,202.64,203.82,200.85,200.89,202330191.0 +3804,2014-12-15,201.98,202.53,198.78,199.51,189965750.0 +3805,2014-12-16,198.58,202.4,197.86,197.91,259543848.0 +3806,2014-12-17,198.44,202.34,198.29,201.79,253910092.0 +3807,2014-12-18,204.74,212.97,203.92,206.78,257633887.0 +3808,2014-12-19,206.43,207.33,205.61,206.52,245084590.0 +3809,2014-12-22,206.75,207.47,206.46,207.47,148318934.0 +3810,2014-12-23,208.17,208.23,207.4,207.75,122167931.0 +3811,2014-12-24,208.02,208.34,207.72,207.77,42963399.0 +3812,2014-12-26,208.31,208.85,208.25,208.44,57326703.0 +3813,2014-12-29,208.22,208.97,208.14,208.72,79643948.0 +3814,2014-12-30,208.21,208.37,207.51,207.6,73540761.0 +3815,2014-12-31,207.99,208.19,205.39,205.54,130333829.0 +3816,2015-01-02,206.38,206.88,204.18,205.43,121465865.0 +3817,2015-01-05,204.17,204.37,201.35,201.72,169632646.0 +3818,2015-01-06,202.09,202.72,198.86,199.82,209151408.0 +3819,2015-01-07,201.42,202.72,200.88,202.31,125346709.0 +3820,2015-01-08,204.01,206.16,203.99,205.9,147217784.0 +3821,2015-01-09,206.4,206.42,203.51,204.25,158567288.0 +3822,2015-01-12,204.41,204.6,201.92,202.65,144396067.0 +3823,2015-01-13,204.12,205.48,200.51,202.08,214553306.0 +3824,2015-01-14,199.65,201.1,198.57,200.86,192991092.0 +3825,2015-01-15,201.63,202.01,198.88,199.02,176613906.0 +3826,2015-01-16,198.77,201.82,198.55,201.63,211879605.0 +3827,2015-01-20,202.4,202.72,200.17,202.06,130991069.0 +3828,2015-01-21,201.5,203.66,200.94,203.08,122942707.0 +3829,2015-01-22,203.99,206.26,202.33,206.1,174356029.0 +3830,2015-01-23,205.79,206.1,204.81,204.97,117516753.0 +3831,2015-01-26,204.71,205.56,203.85,205.45,92009711.0 +3832,2015-01-27,202.97,204.12,201.74,202.74,134044598.0 +3833,2015-01-28,204.17,204.29,199.91,200.14,168514312.0 +3834,2015-01-29,200.38,202.3,198.68,201.99,173585424.0 +3835,2015-01-30,200.57,202.17,199.13,199.45,197729724.0 +3836,2015-02-02,200.05,202.03,197.86,201.92,163106969.0 +3837,2015-02-03,203.0,204.85,202.55,204.84,124212881.0 +3838,2015-02-04,203.92,205.38,203.51,204.06,134306728.0 +3839,2015-02-05,204.86,206.3,204.77,206.12,97953181.0 +3840,2015-02-06,206.56,207.24,204.92,205.55,125672026.0 +3841,2015-02-09,204.77,205.64,204.14,204.63,87219016.0 +3842,2015-02-10,205.88,207.12,204.68,206.81,96164183.0 +3843,2015-02-11,206.61,207.45,205.83,206.93,91087785.0 +3844,2015-02-12,207.89,208.99,206.97,208.92,97545949.0 +3845,2015-02-13,209.07,209.84,208.76,209.78,93670430.0 +3846,2015-02-17,209.4,210.32,209.1,210.11,76968199.0 +3847,2015-02-18,209.66,210.22,209.34,210.13,80652941.0 +3848,2015-02-19,209.41,210.42,209.24,209.98,91462491.0 +3849,2015-02-20,209.48,211.33,208.73,211.24,140896392.0 +3850,2015-02-23,210.94,211.21,210.48,211.21,74411054.0 +3851,2015-02-24,211.12,212.05,210.76,211.81,72472263.0 +3852,2015-02-25,211.66,212.24,211.22,211.63,73061687.0 +3853,2015-02-26,211.52,211.71,210.65,211.38,72697868.0 +3854,2015-02-27,211.26,211.58,210.6,210.66,108075972.0 +3855,2015-03-02,210.78,212.06,210.72,211.99,87491428.0 +3856,2015-03-03,211.47,212.05,210.08,211.12,110325809.0 +3857,2015-03-04,210.4,210.49,209.06,210.23,114497192.0 +3858,2015-03-05,210.62,210.8,209.85,210.46,76872957.0 +3859,2015-03-06,210.46,210.46,207.1,207.5,188127982.0 +3860,2015-03-09,207.74,208.79,207.55,208.36,89818893.0 +3861,2015-03-10,206.71,206.81,204.93,204.98,157121263.0 +3862,2015-03-11,205.29,205.5,204.4,204.5,110145718.0 +3863,2015-03-12,205.26,207.18,205.2,207.1,93993523.0 +3864,2015-03-13,206.77,207.93,204.58,205.83,162410893.0 +3865,2015-03-16,206.71,208.69,205.86,208.58,136099192.0 +3866,2015-03-17,207.69,208.42,206.98,207.96,94510422.0 +3867,2015-03-18,207.39,211.27,206.62,210.46,228808524.0 +3868,2015-03-19,209.96,210.47,209.03,209.5,117917302.0 +3869,2015-03-20,209.71,211.02,209.49,210.41,177715081.0 +3870,2015-03-23,210.42,211.11,210.0,210.0,71784536.0 +3871,2015-03-24,209.85,210.4,208.74,208.82,77805321.0 +3872,2015-03-25,209.07,209.35,205.71,205.76,159521708.0 +3873,2015-03-26,204.96,206.37,204.12,205.27,153067241.0 +3874,2015-03-27,205.13,205.95,204.9,205.74,118938966.0 +3875,2015-03-30,206.98,208.61,206.96,208.25,96180365.0 +3876,2015-03-31,207.26,208.1,206.36,206.43,126768703.0 +3877,2015-04-01,206.43,206.43,204.51,205.7,137303584.0 +3878,2015-04-02,205.62,206.98,205.4,206.44,86900906.0 +3879,2015-04-06,206.44,208.45,205.21,207.83,114368155.0 +3880,2015-04-07,207.86,208.76,207.24,207.28,81236337.0 +3881,2015-04-08,207.55,208.51,207.08,207.98,89351939.0 +3882,2015-04-09,207.78,209.18,207.19,208.9,85548854.0 +3883,2015-04-10,209.2,210.09,208.96,210.04,72722915.0 +3884,2015-04-13,209.87,210.63,209.03,209.09,74436594.0 +3885,2015-04-14,208.85,209.71,208.1,209.49,75099866.0 +3886,2015-04-15,210.05,211.04,209.95,210.43,99529320.0 +3887,2015-04-16,210.03,210.98,209.79,210.37,68934864.0 +3888,2015-04-17,208.94,209.23,207.01,207.95,191113230.0 +3889,2015-04-20,209.06,210.25,208.96,209.85,92189481.0 +3890,2015-04-21,210.67,210.86,209.24,209.6,72559831.0 +3891,2015-04-22,210.01,210.85,208.9,210.63,78264616.0 +3892,2015-04-23,210.15,211.94,210.01,211.16,102585942.0 +3893,2015-04-24,211.66,211.97,211.11,211.65,61327387.0 +3894,2015-04-27,212.33,212.48,210.54,210.77,79358126.0 +3895,2015-04-28,210.74,211.5,209.33,211.44,86863531.0 +3896,2015-04-29,211.44,211.44,209.6,210.57,125684903.0 +3897,2015-04-30,209.88,210.35,207.62,208.46,161304890.0 +3898,2015-05-01,209.4,210.77,209.28,210.72,103399711.0 +3899,2015-05-04,211.23,212.02,211.1,211.32,70927235.0 +3900,2015-05-05,211.03,211.46,208.73,208.9,113326156.0 +3901,2015-05-06,209.56,209.93,206.76,208.04,135060151.0 +3902,2015-05-07,207.92,209.38,207.52,208.87,88244940.0 +3903,2015-05-08,210.88,211.86,210.78,211.62,155877260.0 +3904,2015-05-11,211.57,211.89,210.52,210.61,75708065.0 +3905,2015-05-12,209.61,210.63,208.62,209.98,119727592.0 +3906,2015-05-13,210.47,211.22,209.74,210.02,94667943.0 +3907,2015-05-14,211.24,212.32,210.91,212.21,95934006.0 +3908,2015-05-15,212.44,212.61,211.86,212.44,76510099.0 +3909,2015-05-18,212.24,213.4,212.16,213.1,74549685.0 +3910,2015-05-19,213.24,213.57,212.69,213.03,72114610.0 +3911,2015-05-20,213.15,213.78,212.5,212.88,76857530.0 +3912,2015-05-21,212.71,213.75,212.51,213.5,64764585.0 +3913,2015-05-22,213.04,213.54,212.91,212.99,57433495.0 +3914,2015-05-26,212.4,212.91,210.2,210.7,124308584.0 +3915,2015-05-27,211.25,212.98,210.76,212.7,93213981.0 +3916,2015-05-28,212.33,212.59,211.63,212.46,74974560.0 +3917,2015-05-29,212.38,212.43,210.82,211.14,124919611.0 +3918,2015-06-01,211.94,212.34,210.62,211.57,93338750.0 +3919,2015-06-02,211.02,212.19,210.27,211.36,91531012.0 +3920,2015-06-03,212.0,212.67,211.33,211.92,87820909.0 +3921,2015-06-04,211.07,211.86,209.75,210.13,151882820.0 +3922,2015-06-05,209.95,210.58,208.98,209.77,121704676.0 +3923,2015-06-08,209.64,209.82,208.39,208.42,89063330.0 +3924,2015-06-09,208.45,209.1,207.69,208.45,105034690.0 +3925,2015-06-10,209.37,211.41,209.3,210.96,134551285.0 +3926,2015-06-11,211.48,212.09,211.2,211.65,73876447.0 +3927,2015-06-12,210.64,211.48,209.68,209.93,135382369.0 +3928,2015-06-15,208.64,209.45,207.79,209.1,124384184.0 +3929,2015-06-16,208.93,210.35,208.72,210.25,85308227.0 +3930,2015-06-17,210.59,211.32,209.36,210.59,126708635.0 +3931,2015-06-18,211.31,213.34,210.63,212.71,165867949.0 +3932,2015-06-19,211.46,211.55,210.36,210.81,130478689.0 +3933,2015-06-22,211.91,212.59,211.64,211.89,70696027.0 +3934,2015-06-23,212.14,212.44,211.57,212.05,68476797.0 +3935,2015-06-24,211.72,212.17,210.47,210.51,92307318.0 +3936,2015-06-25,211.1,211.25,209.77,209.83,97107361.0 +3937,2015-06-26,210.29,210.58,209.16,209.9,104174840.0 +3938,2015-06-29,208.05,209.83,205.33,205.47,202621332.0 +3939,2015-06-30,207.26,207.32,205.28,205.89,182925106.0 +3940,2015-07-01,207.73,208.03,206.56,207.57,135979873.0 +3941,2015-07-02,208.07,208.27,206.81,207.32,104373652.0 +3942,2015-07-06,205.77,207.65,205.53,206.67,117975369.0 +3943,2015-07-07,206.96,208.17,204.11,208.01,173820249.0 +3944,2015-07-08,206.42,206.76,204.25,204.53,164020059.0 +3945,2015-07-09,207.04,207.35,204.77,204.8,144113107.0 +3946,2015-07-10,207.29,207.98,204.95,207.48,129456890.0 +3947,2015-07-13,208.99,209.9,208.94,209.76,106069400.0 +3948,2015-07-14,209.72,211.05,209.65,210.72,81709575.0 +3949,2015-07-15,210.73,211.28,210.04,210.63,97914141.0 +3950,2015-07-16,211.87,212.3,211.58,212.27,106683266.0 +3951,2015-07-17,212.29,212.55,211.8,212.47,89029973.0 +3952,2015-07-20,212.75,213.18,212.21,212.62,70446821.0 +3953,2015-07-21,212.43,212.74,211.39,211.76,77965048.0 +3954,2015-07-22,210.93,211.77,210.89,211.29,88667920.0 +3955,2015-07-23,211.53,211.65,209.75,210.14,90509128.0 +3956,2015-07-24,210.3,210.37,207.6,207.94,117754979.0 +3957,2015-07-27,208.0,208.0,206.26,206.74,132361082.0 +3958,2015-07-28,207.79,209.5,206.8,209.31,123544845.0 +3959,2015-07-29,209.48,211.04,209.31,210.77,105791255.0 +3960,2015-07-30,210.16,211.02,209.42,210.82,91304374.0 +3961,2015-07-31,211.42,211.45,210.16,210.45,103266857.0 +3962,2015-08-03,210.46,210.53,208.65,209.73,113965728.0 +3963,2015-08-04,209.7,210.25,208.8,209.32,81820823.0 +3964,2015-08-05,210.45,211.31,209.73,210.1,85786817.0 +3965,2015-08-06,210.29,210.42,207.65,208.35,116030803.0 +3966,2015-08-07,208.16,208.34,206.87,207.92,117857956.0 +3967,2015-08-10,209.28,210.67,209.28,210.63,80270676.0 +3968,2015-08-11,208.97,209.47,207.76,208.66,126081377.0 +3969,2015-08-12,207.11,209.14,205.36,208.92,172123672.0 +3970,2015-08-13,208.73,209.55,208.01,208.7,89383253.0 +3971,2015-08-14,208.43,209.51,208.26,209.36,72786528.0 +3972,2015-08-17,208.71,210.59,208.16,210.56,79072643.0 +3973,2015-08-18,210.26,210.68,209.7,209.93,71692678.0 +3974,2015-08-19,209.09,210.01,207.35,208.28,172864412.0 +3975,2015-08-20,206.51,208.29,203.9,204.01,194327884.0 +3976,2015-08-21,201.73,203.94,197.52,197.63,346588469.0 +3977,2015-08-24,187.49,197.4772,182.4,189.55,507244333.0 +3978,2015-08-25,195.43,195.45,186.92,187.23,369833071.0 +3979,2015-08-26,192.08,194.79,188.37,194.68,339256986.0 +3980,2015-08-27,197.02,199.42,195.21,199.16,274143906.0 +3981,2015-08-28,198.5,199.84,197.92,199.24,160414352.0 +3982,2015-08-31,198.11,199.13,197.01,197.54,163298816.0 +3983,2015-09-01,193.12,194.77,190.73,191.77,256000392.0 +3984,2015-09-02,194.62,195.46,192.42,195.41,160269331.0 +3985,2015-09-03,196.26,198.05,194.96,195.65,152087836.0 +3986,2015-09-04,192.85,193.86,191.61,192.59,207080961.0 +3987,2015-09-08,195.94,197.61,195.17,197.46,116025739.0 +3988,2015-09-09,199.32,199.47,194.35,194.76,149347735.0 +3989,2015-09-10,194.56,197.22,194.25,195.85,158611063.0 +3990,2015-09-11,195.38,196.82,194.53,196.74,119691212.0 +3991,2015-09-14,196.95,197.01,195.43,195.98,79451983.0 +3992,2015-09-15,196.61,198.99,195.96,198.45,113806176.0 +3993,2015-09-16,198.82,200.41,198.41,200.14,99581557.0 +3994,2015-09-17,200.02,202.89,199.28,199.7,276046618.0 +3995,2015-09-18,195.71,198.68,194.96,195.36,223657456.0 +3996,2015-09-21,196.44,197.68,195.21,196.44,105726209.0 +3997,2015-09-22,193.88,194.46,192.56,193.9,153890876.0 +3998,2015-09-23,194.11,194.67,192.91,193.6,92790620.0 +3999,2015-09-24,192.15,193.45,190.56,192.93,159378840.0 +4000,2015-09-25,194.64,195.0,191.81,192.87,155054777.0 +4001,2015-09-28,191.78,191.91,187.64,187.91,178515871.0 +4002,2015-09-29,188.27,189.74,186.93,188.08,159045572.0 +4003,2015-09-30,190.37,191.83,189.44,191.59,163452044.0 +4004,2015-10-01,192.08,192.49,189.82,192.13,131078964.0 +4005,2015-10-02,189.77,195.03,189.12,195.0,211003342.0 +4006,2015-10-05,196.46,198.74,196.33,198.47,126320842.0 +4007,2015-10-06,198.31,198.98,197.0,197.79,110274530.0 +4008,2015-10-07,198.9,199.83,197.48,199.41,124307295.0 +4009,2015-10-08,198.95,201.55,198.59,201.21,153055231.0 +4010,2015-10-09,201.38,201.9,200.58,201.33,107069240.0 +4011,2015-10-12,201.42,201.76,200.91,201.52,56395585.0 +4012,2015-10-13,200.65,202.16,200.05,200.25,88038718.0 +4013,2015-10-14,200.18,200.87,198.94,199.29,99106161.0 +4014,2015-10-15,200.08,202.36,199.64,202.35,134142195.0 +4015,2015-10-16,202.83,203.29,201.92,203.27,114580052.0 +4016,2015-10-19,202.5,203.37,202.13,203.37,76523897.0 +4017,2015-10-20,202.85,203.84,202.55,203.11,78448484.0 +4018,2015-10-21,203.61,203.79,201.65,201.85,102038033.0 +4019,2015-10-22,202.98,205.51,201.85,205.21,174911723.0 +4020,2015-10-23,207.25,207.95,206.3,207.52,144442340.0 +4021,2015-10-26,207.3,207.37,206.56,206.99,69032965.0 +4022,2015-10-27,206.2,207.0,205.79,206.57,77905770.0 +4023,2015-10-28,207.0,208.98,206.21,208.94,135906725.0 +4024,2015-10-29,208.35,209.27,208.21,208.89,90525498.0 +4025,2015-10-30,209.06,209.44,207.74,207.93,131076942.0 +4026,2015-11-02,208.32,210.62,208.17,210.39,86270811.0 +4027,2015-11-03,209.97,211.66,209.7,211.0,95246052.0 +4028,2015-11-04,211.35,211.5,209.72,210.38,96224477.0 +4029,2015-11-05,210.43,210.98,209.09,210.15,78408744.0 +4030,2015-11-06,209.74,210.32,208.46,210.04,110471473.0 +4031,2015-11-09,209.31,209.49,206.95,208.08,131008660.0 +4032,2015-11-10,207.51,208.6,207.19,208.56,75874602.0 +4033,2015-11-11,208.88,208.94,207.66,207.74,67845971.0 +4034,2015-11-12,206.5,207.06,204.82,204.84,121315200.0 +4035,2015-11-13,204.35,204.67,202.44,202.54,153577050.0 +4036,2015-11-16,202.32,205.69,202.18,205.62,117645231.0 +4037,2015-11-17,205.99,207.04,204.88,205.47,121123744.0 +4038,2015-11-18,206.04,208.9,205.99,208.73,121342544.0 +4039,2015-11-19,208.59,209.05,208.2,208.55,88220465.0 +4040,2015-11-20,209.45,210.12,208.86,209.31,94011519.0 +4041,2015-11-23,209.38,209.98,208.52,209.07,64931172.0 +4042,2015-11-24,207.87,209.83,207.41,209.35,98874365.0 +4043,2015-11-25,209.5,209.74,209.01,209.32,51980062.0 +4044,2015-11-27,209.43,209.8,208.86,209.56,37317779.0 +4045,2015-11-30,209.75,209.89,208.56,208.69,112822700.0 +4046,2015-12-01,209.44,210.82,209.11,210.68,97858418.0 +4047,2015-12-02,210.62,211.0,208.23,208.53,108441259.0 +4048,2015-12-03,208.83,209.15,204.75,205.61,166224154.0 +4049,2015-12-04,205.61,209.97,205.61,209.62,192913879.0 +4050,2015-12-07,209.23,209.73,207.2,208.35,102027111.0 +4051,2015-12-08,206.49,208.29,205.78,206.95,103372367.0 +4052,2015-12-09,206.19,208.68,204.18,205.34,162401537.0 +4053,2015-12-10,205.42,207.43,205.14,205.87,116128884.0 +4054,2015-12-11,203.35,204.14,201.51,201.88,211125329.0 +4055,2015-12-14,202.07,203.05,199.95,202.9,182385177.0 +4056,2015-12-15,204.7,206.11,202.87,205.03,154069569.0 +4057,2015-12-16,206.37,208.39,204.8,208.03,197017008.0 +4058,2015-12-17,208.4,208.48,204.84,204.86,173092476.0 +4059,2015-12-18,202.77,202.93,199.83,200.02,251393535.0 +4060,2015-12-21,201.41,201.88,200.09,201.67,99094290.0 +4061,2015-12-22,202.72,203.85,201.55,203.5,111026246.0 +4062,2015-12-23,204.69,206.07,204.58,206.02,110987228.0 +4063,2015-12-24,205.72,206.33,205.42,205.68,48542150.0 +4064,2015-12-28,204.86,205.26,203.94,205.21,65899939.0 +4065,2015-12-29,206.51,207.79,206.47,207.4,92640672.0 +4066,2015-12-30,207.11,207.21,205.76,205.93,63317679.0 +4067,2015-12-31,205.13,205.89,203.87,203.87,114877859.0 +4068,2016-01-04,200.49,201.03,198.59,201.0192,222353534.0 +4069,2016-01-05,201.4,201.9,200.05,201.36,110845849.0 +4070,2016-01-06,198.34,200.06,197.6,198.82,152112604.0 +4071,2016-01-07,195.33,197.44,193.59,194.05,213436073.0 +4072,2016-01-08,195.19,195.85,191.58,191.923,209817228.0 +4073,2016-01-11,193.01,193.41,189.82,192.11,187941323.0 +4074,2016-01-12,193.82,194.55,191.14,193.6608,172330490.0 +4075,2016-01-13,194.45,194.86,188.38,188.83,221168886.0 +4076,2016-01-14,189.55,193.26,187.66,191.93,240795609.0 +4077,2016-01-15,186.77,188.76,185.52,187.81,324846447.0 +4078,2016-01-19,189.96,190.11,186.2,188.06,195244373.0 +4079,2016-01-20,185.03,187.495,181.02,185.65,286547839.0 +4080,2016-01-21,186.21,188.87,184.64,186.69,195772941.0 +4081,2016-01-22,189.78,190.76,188.88,190.52,168319598.0 +4082,2016-01-25,189.92,190.15,187.41,187.64,130371686.0 +4083,2016-01-26,188.42,190.53,188.02,190.2,141036757.0 +4084,2016-01-27,189.58,191.56,187.06,188.13,185681707.0 +4085,2016-01-28,189.96,190.2,187.16,189.11,143798780.0 +4086,2016-01-29,190.02,193.88,189.88,193.7208,210529336.0 +4087,2016-02-01,192.53,194.58,191.84,193.65,136061564.0 +4088,2016-02-02,191.96,191.97,189.54,190.16,182564890.0 +4089,2016-02-03,191.41,191.78,187.1,191.3,205054934.0 +4090,2016-02-04,190.71,192.75,189.96,191.6,139531794.0 +4091,2016-02-05,190.99,191.6696,187.2,187.95,180788308.0 +4092,2016-02-08,185.77,186.12,182.8,185.42,191526694.0 +4093,2016-02-09,183.36,186.94,183.2,185.43,184513136.0 +4094,2016-02-10,186.41,188.34,185.12,185.27,148214057.0 +4095,2016-02-11,182.34,184.1,181.09,182.86,219058885.0 +4096,2016-02-12,184.96,186.65,183.96,186.63,127632393.0 +4097,2016-02-16,188.77,189.81,187.63,189.78,120250668.0 +4098,2016-02-17,191.16,193.32,191.01,192.88,136009496.0 +4099,2016-02-18,193.2,193.27,191.72,192.09,102342997.0 +4100,2016-02-19,191.17,192.18,190.45,192.0,114792988.0 +4101,2016-02-22,193.87,194.95,193.79,194.78,103640292.0 +4102,2016-02-23,194.0,194.32,192.18,192.32,111455289.0 +4103,2016-02-24,190.63,193.53,189.32,193.2,150812152.0 +4104,2016-02-25,193.73,195.55,192.83,195.54,110728317.0 +4105,2016-02-26,196.57,196.68,194.9,195.0892,129833663.0 +4106,2016-02-29,195.11,196.23,193.33,193.56,125918102.0 +4107,2016-03-01,195.01,198.21,194.4542,198.11,141799687.0 +4108,2016-03-02,197.74,199.06,197.25,199.0,102414960.0 +4109,2016-03-03,198.79,199.795,198.11,199.775,95172197.0 +4110,2016-03-04,200.01,201.35,199.03,200.43,129293601.0 +4111,2016-03-07,199.34,201.07,199.25,200.59,100218998.0 +4112,2016-03-08,199.32,199.92,198.21,198.4,123974866.0 +4113,2016-03-09,199.36,199.79,198.43,199.38,94801213.0 +4114,2016-03-10,199.96,201.07,197.38,199.54,156838697.0 +4115,2016-03-11,201.26,202.81,199.5179,202.76,138243024.0 +4116,2016-03-14,202.16,203.04,201.77,202.5,74176589.0 +4117,2016-03-15,201.36,202.5307,201.05,202.17,93298821.0 +4118,2016-03-16,201.6,203.82,201.55,203.34,129303179.0 +4119,2016-03-17,203.24,205.23,202.77,204.63,134143421.0 +4120,2016-03-18,204.17,204.78,203.8,204.38,138372404.0 +4121,2016-03-21,204.07,204.94,203.8,204.67,72926659.0 +4122,2016-03-22,203.76,205.23,203.57,204.56,97471939.0 +4123,2016-03-23,204.11,204.33,203.01,203.2092,81052455.0 +4124,2016-03-24,202.0,203.16,201.74,203.12,84360853.0 +4125,2016-03-28,203.61,203.86,202.705,203.24,62408185.0 +4126,2016-03-29,202.76,205.25,202.4,205.1208,92922863.0 +4127,2016-03-30,206.3,206.87,205.59,206.02,86365310.0 +4128,2016-03-31,205.91,206.41,205.33,205.52,94584110.0 +4129,2016-04-01,204.35,207.14,203.98,206.92,114423478.0 +4130,2016-04-04,206.83,207.07,205.89,206.25,63496969.0 +4131,2016-04-05,204.67,206.2642,203.89,204.1892,99662158.0 +4132,2016-04-06,204.29,206.49,203.98,206.42,91839761.0 +4133,2016-04-07,205.14,205.56,203.09,203.95,113859037.0 +4134,2016-04-08,205.34,205.85,203.87,204.4992,95040598.0 +4135,2016-04-11,205.25,206.07,203.91,204.0201,83757486.0 +4136,2016-04-12,204.22,206.25,203.7,205.92,115350567.0 +4137,2016-04-13,207.0,208.1,206.84,208.0008,96336433.0 +4138,2016-04-14,208.07,208.6,207.6,208.01,65212883.0 +4139,2016-04-15,208.01,208.1721,207.4,207.78,75761615.0 +4140,2016-04-18,207.14,209.28,207.0,209.2392,82530960.0 +4141,2016-04-19,209.74,210.2,208.94,209.9,88316060.0 +4142,2016-04-20,209.95,210.92,209.39,210.1,81100314.0 +4143,2016-04-21,210.12,210.25,208.65,208.97,85695041.0 +4144,2016-04-22,208.55,209.29,207.91,208.97,99251724.0 +4145,2016-04-25,208.26,208.66,207.54,208.61,66166494.0 +4146,2016-04-26,209.04,209.52,208.36,208.9192,75864174.0 +4147,2016-04-27,208.47,209.81,208.05,209.35,77329437.0 +4148,2016-04-28,208.46,209.76,206.96,207.4475,97216169.0 +4149,2016-04-29,206.72,207.13,205.03,206.3308,142424137.0 +4150,2016-05-02,206.92,208.18,206.41,207.97,62188015.0 +4151,2016-05-03,206.52,206.8,205.28,206.1592,106422142.0 +4152,2016-05-04,204.99,205.85,204.42,205.01,92243810.0 +4153,2016-05-05,205.56,205.98,204.47,204.97,67619222.0 +4154,2016-05-06,204.06,205.77,203.88,205.72,89315004.0 +4155,2016-05-09,205.57,206.4,205.36,205.8892,74374922.0 +4156,2016-05-10,206.72,208.5,206.64,208.45,77472207.0 +4157,2016-05-11,207.91,208.54,206.5,206.5,81726989.0 +4158,2016-05-12,207.29,207.4899,205.37,206.56,89586308.0 +4159,2016-05-13,206.21,206.86,204.38,204.76,96474630.0 +4160,2016-05-16,204.96,207.34,204.89,206.78,77486827.0 +4161,2016-05-17,206.46,206.8,204.23,204.8508,114924940.0 +4162,2016-05-18,204.44,206.3,203.63,204.91,123493379.0 +4163,2016-05-19,204.06,204.54,202.78,204.2,115430507.0 +4164,2016-05-20,204.92,206.1,204.86,205.49,104990408.0 +4165,2016-05-23,205.51,205.84,204.985,205.21,58682576.0 +4166,2016-05-24,206.17,208.24,206.14,207.87,93537808.0 +4167,2016-05-25,208.67,209.77,207.8691,209.28,79221525.0 +4168,2016-05-26,209.44,209.71,208.97,209.34,55280699.0 +4169,2016-05-27,209.53,210.25,209.47,210.24,64211214.0 +4170,2016-05-31,210.56,210.69,209.18,209.84,109879380.0 +4171,2016-06-01,209.12,210.48,208.89,210.27,69936215.0 +4172,2016-06-02,209.8,210.93,209.2399,210.91,63044749.0 +4173,2016-06-03,210.25,210.69,208.86,210.28,101757126.0 +4174,2016-06-06,210.7,211.77,210.51,211.35,64887045.0 +4175,2016-06-07,211.525,212.34,211.5,211.68,60974761.0 +4176,2016-06-08,211.84,212.52,211.6899,212.37,66170920.0 +4177,2016-06-09,211.51,212.22,211.19,212.08,73786869.0 +4178,2016-06-10,210.46,210.86,209.43,210.07,113829158.0 +4179,2016-06-13,209.36,210.37,208.35,208.4492,117751153.0 +4180,2016-06-14,208.0,208.74,206.9199,208.04,125059286.0 +4181,2016-06-15,208.54,209.36,207.53,207.75,109124496.0 +4182,2016-06-16,206.73,208.57,205.59,208.37,149533065.0 +4183,2016-06-17,207.17,207.2,205.75,206.52,117055748.0 +4184,2016-06-20,208.82,209.61,207.75,207.85,82789603.0 +4185,2016-06-21,208.3,208.92,207.78,208.44,72461663.0 +4186,2016-06-22,208.65,209.5,207.93,208.1,95560471.0 +4187,2016-06-23,209.81,210.87,209.27,210.81,102731356.0 +4188,2016-06-24,203.63,210.8463,202.72,203.13,333444397.0 +4189,2016-06-27,201.59,201.6,198.65,199.6,248988660.0 +4190,2016-06-28,201.48,203.23,201.12,203.1997,159382399.0 +4191,2016-06-29,204.84,206.93,204.72,206.66,137328614.0 +4192,2016-06-30,207.21,209.54,206.56,209.475,165021948.0 +4193,2016-07-01,209.36,210.49,209.29,209.9208,106055333.0 +4194,2016-07-05,208.95,209.08,207.71,208.41,109803713.0 +4195,2016-07-06,207.83,209.8,207.06,209.66,96021491.0 +4196,2016-07-07,209.87,210.6495,208.63,209.526,85593827.0 +4197,2016-07-08,211.05,212.94,210.7785,212.65,133970972.0 +4198,2016-07-11,213.19,214.07,212.95,213.4,73633937.0 +4199,2016-07-12,214.53,215.3,213.4308,214.95,101275629.0 +4200,2016-07-13,215.44,215.45,214.35,214.92,87324129.0 +4201,2016-07-14,216.4,216.67,215.66,216.12,91230870.0 +4202,2016-07-15,216.78,217.0125,215.308,215.83,107155401.0 +4203,2016-07-18,215.97,216.6,215.67,216.4092,58725918.0 +4204,2016-07-19,215.92,216.23,215.63,216.19,54345728.0 +4205,2016-07-20,216.75,217.37,216.24,217.085,58159457.0 +4206,2016-07-21,216.96,217.22,215.75,216.265,67777310.0 +4207,2016-07-22,216.41,217.3,216.1,217.24,62787477.0 +4208,2016-07-25,217.0,217.06,215.97,216.65,55873147.0 +4209,2016-07-26,216.53,217.17,215.76,216.75,70080493.0 +4210,2016-07-27,217.19,217.27,215.62,216.52,84083893.0 +4211,2016-07-28,216.29,217.11,215.75,216.77,65035718.0 +4212,2016-07-29,216.46,217.54,216.13,217.12,79519436.0 +4213,2016-08-01,217.19,217.65,216.405,216.94,73311422.0 +4214,2016-08-02,216.65,216.83,214.57,215.5492,92295506.0 +4215,2016-08-03,215.48,216.245,215.13,216.18,53993626.0 +4216,2016-08-04,216.31,216.78,214.25,216.4097,46585528.0 +4217,2016-08-05,217.21,218.23,217.07,218.18,71892161.0 +4218,2016-08-08,218.4,218.52,217.74,218.05,39906479.0 +4219,2016-08-09,218.13,218.76,217.8,218.18,51251728.0 +4220,2016-08-10,218.31,218.4038,217.23,217.64,57941092.0 +4221,2016-08-11,218.26,218.94,217.95,218.65,72504270.0 +4222,2016-08-12,218.29,218.71,217.99,218.46,61313544.0 +4223,2016-08-15,218.89,219.5,218.88,219.09,49813482.0 +4224,2016-08-16,218.6,218.68,217.96,217.96,53213621.0 +4225,2016-08-17,218.0,218.53,217.02,218.37,75134339.0 +4226,2016-08-18,218.34,218.9,218.21,218.86,52989266.0 +4227,2016-08-19,218.31,218.75,217.74,218.54,75443004.0 +4228,2016-08-22,218.26,218.8,217.83,218.53,61368766.0 +4229,2016-08-23,219.25,219.6,218.9,218.97,53399159.0 +4230,2016-08-24,218.8,218.91,217.36,217.85,71728949.0 +4231,2016-08-25,217.4,218.19,217.22,217.7,69224776.0 +4232,2016-08-26,217.92,219.12,216.25,217.29,122506348.0 +4233,2016-08-29,217.44,218.665,217.4,218.3608,70502167.0 +4234,2016-08-30,218.26,218.59,217.35,218.0,58114543.0 +4235,2016-08-31,217.61,217.75,216.465,217.38,85269453.0 +4236,2016-09-01,217.37,217.73,216.03,217.39,97844207.0 +4237,2016-09-02,218.39,218.87,217.7,218.37,79293856.0 +4238,2016-09-06,218.7,219.12,217.86,219.0308,56702089.0 +4239,2016-09-07,218.84,219.22,218.3,219.01,76554855.0 +4240,2016-09-08,218.62,218.94,218.15,218.51,74102880.0 +4241,2016-09-09,216.97,217.03,213.25,213.28,221589073.0 +4242,2016-09-12,212.39,216.81,212.31,216.34,168110913.0 +4243,2016-09-13,214.84,215.1499,212.5,213.23,182828839.0 +4244,2016-09-14,213.29,214.7,212.5,213.15,134185491.0 +4245,2016-09-15,212.96,215.73,212.75,215.28,145736123.0 +4246,2016-09-16,213.48,213.69,212.57,213.37,155236354.0 +4247,2016-09-19,214.13,214.88,213.03,213.41,80250490.0 +4248,2016-09-20,214.41,214.59,213.38,213.42,69665279.0 +4249,2016-09-21,214.24,216.03,213.44,215.82,110284425.0 +4250,2016-09-22,217.0,217.53,216.71,217.18,76678713.0 +4251,2016-09-23,216.72,216.88,215.88,215.99,73630921.0 +4252,2016-09-26,215.02,215.23,214.01,214.24,89827305.0 +4253,2016-09-27,214.05,215.68,213.62,215.57,78494829.0 +4254,2016-09-28,215.83,216.82,214.71,216.64,87411015.0 +4255,2016-09-29,216.4,216.87,214.04,214.68,128070615.0 +4256,2016-09-30,215.65,217.12,215.36,216.3,117202914.0 +4257,2016-10-03,215.82,216.04,215.04,215.78,83512057.0 +4258,2016-10-04,215.91,216.17,213.99,214.68,119948052.0 +4259,2016-10-05,215.41,216.13,215.33,215.63,72815963.0 +4260,2016-10-06,215.37,216.04,214.735,215.78,62927376.0 +4261,2016-10-07,216.1,216.3,214.19,215.04,89788255.0 +4262,2016-10-10,216.155,216.7,215.985,216.16,51855023.0 +4263,2016-10-11,215.66,215.74,212.58,213.43,130367373.0 +4264,2016-10-12,213.59,214.32,213.01,213.71,73866117.0 +4265,2016-10-13,212.16,213.59,211.21,213.01,101356960.0 +4266,2016-10-14,214.15,214.69,213.03,213.12,93346237.0 +4267,2016-10-17,213.09,213.39,212.17,212.38,58275674.0 +4268,2016-10-18,214.24,214.31,213.27,213.71,76869656.0 +4269,2016-10-19,214.02,214.64,213.6,214.28,66519224.0 +4270,2016-10-20,213.87,214.53,213.11,213.88,73639830.0 +4271,2016-10-21,212.96,214.08,212.76,213.98,89089092.0 +4272,2016-10-24,215.0,215.32,214.48,214.89,60146592.0 +4273,2016-10-25,214.68,214.98,213.98,214.17,66542329.0 +4274,2016-10-26,213.21,214.42,212.93,213.74,75705478.0 +4275,2016-10-27,214.58,214.62,213.08,213.17,77220213.0 +4276,2016-10-28,213.14,213.93,211.71,212.54,140623183.0 +4277,2016-10-31,212.93,213.19,212.36,212.55,61272507.0 +4278,2016-11-01,212.93,212.99,209.6,211.01,122781818.0 +4279,2016-11-02,210.65,211.1,209.23,209.74,103330806.0 +4280,2016-11-03,209.99,210.24,208.46,208.78,88939346.0 +4281,2016-11-04,208.91,209.89,208.38,208.55,109122059.0 +4282,2016-11-07,211.45,213.19,211.3,213.15,109794861.0 +4283,2016-11-08,212.69,214.77,212.38,214.11,106772138.0 +4284,2016-11-09,212.37,217.1,212.34,216.3792,258428972.0 +4285,2016-11-10,217.3,218.31,215.22,216.92,172113313.0 +4286,2016-11-11,216.08,216.7,215.32,216.42,100552732.0 +4287,2016-11-14,217.03,217.27,215.72,216.59,94579982.0 +4288,2016-11-15,217.04,218.28,216.8,218.28,91652580.0 +4289,2016-11-16,217.56,218.14,217.42,217.87,65617697.0 +4290,2016-11-17,218.05,219.06,217.92,218.99,69797191.0 +4291,2016-11-18,219.07,219.27,218.29,218.5,86265751.0 +4292,2016-11-21,219.17,220.18,219.0,220.15,72402638.0 +4293,2016-11-22,220.51,220.79,219.73,220.58,67428957.0 +4294,2016-11-23,219.98,220.76,219.75,220.7,56620237.0 +4295,2016-11-25,221.1,221.56,221.01,221.52,37872255.0 +4296,2016-11-28,221.16,221.48,220.36,220.48,76572511.0 +4297,2016-11-29,220.52,221.44,220.17,220.91,69886690.0 +4298,2016-11-30,221.63,221.82,220.31,220.38,113291793.0 +4299,2016-12-01,220.73,220.73,219.15,219.57,79040487.0 +4300,2016-12-02,219.67,220.25,219.26,219.68,74840347.0 +4301,2016-12-05,220.65,221.4,220.42,221.0,67837821.0 +4302,2016-12-06,221.22,221.7441,220.662,221.7,59877377.0 +4303,2016-12-07,221.52,224.67,221.38,224.6,110738050.0 +4304,2016-12-08,224.57,225.7,224.26,225.15,99714387.0 +4305,2016-12-09,225.41,226.53,225.37,226.51,88005766.0 +4306,2016-12-12,226.4,226.96,225.76,226.25,101906238.0 +4307,2016-12-13,227.02,228.34,227.0,227.76,110477485.0 +4308,2016-12-14,227.41,228.23,225.365,225.88,142501812.0 +4309,2016-12-15,226.16,227.81,225.8904,226.81,124972554.0 +4310,2016-12-16,226.01,226.08,224.67,225.04,156420152.0 +4311,2016-12-19,225.25,226.02,225.08,225.53,90341147.0 +4312,2016-12-20,226.15,226.57,225.88,226.4,89838810.0 +4313,2016-12-21,226.25,226.45,225.77,225.77,67909039.0 +4314,2016-12-22,225.6,225.74,224.92,225.38,56219071.0 +4315,2016-12-23,225.43,225.72,225.21,225.71,36697822.0 +4316,2016-12-27,226.02,226.73,226.0,226.27,42672487.0 +4317,2016-12-28,226.57,226.59,224.27,224.4,64095014.0 +4318,2016-12-29,224.48,224.89,223.84,224.35,48696080.0 +4319,2016-12-30,224.73,224.83,222.73,223.53,108998328.0 +4320,2017-01-03,225.04,225.83,223.8837,225.24,91366522.0 +4321,2017-01-04,225.62,226.75,225.61,226.58,78744433.0 +4322,2017-01-05,226.27,226.58,225.48,226.4,78379012.0 +4323,2017-01-06,226.53,227.75,225.9,227.21,71559922.0 +4324,2017-01-09,226.91,227.0701,226.4163,226.46,46939676.0 +4325,2017-01-10,226.48,227.45,226.01,226.46,63771939.0 +4326,2017-01-11,226.36,227.1,225.59,227.1,74650016.0 +4327,2017-01-12,226.5,226.75,224.955,226.53,72113181.0 +4328,2017-01-13,226.73,227.4,226.69,227.05,62717865.0 +4329,2017-01-17,226.31,226.78,225.8,226.25,61240814.0 +4330,2017-01-18,226.535,226.8,225.9,226.75,54793302.0 +4331,2017-01-19,226.84,227.0,225.41,225.91,66608787.0 +4332,2017-01-20,226.7,227.31,225.9719,226.74,129168623.0 +4333,2017-01-23,226.35,226.805,225.27,226.15,75061645.0 +4334,2017-01-24,226.4,228.08,226.27,227.6,95555295.0 +4335,2017-01-25,228.7,229.57,228.51,229.57,84437712.0 +4336,2017-01-26,229.4,229.71,229.01,229.33,59970719.0 +4337,2017-01-27,229.42,229.59,228.76,228.97,59695224.0 +4338,2017-01-30,228.17,228.2,226.41,227.55,79737252.0 +4339,2017-01-31,226.98,227.6,226.32,227.53,75880805.0 +4340,2017-02-01,228.255,228.59,226.94,227.62,79117651.0 +4341,2017-02-02,227.2,228.1,226.82,227.77,69657560.0 +4342,2017-02-03,228.82,229.55,228.46,229.34,80563168.0 +4343,2017-02-06,228.87,229.326,228.54,228.93,57790108.0 +4344,2017-02-07,229.38,229.6556,228.72,228.94,57931151.0 +4345,2017-02-08,228.61,229.39,228.31,229.24,51566218.0 +4346,2017-02-09,229.56,230.95,229.52,230.6,65955245.0 +4347,2017-02-10,231.0,231.77,230.6216,231.51,66015892.0 +4348,2017-02-13,232.08,233.07,232.05,232.77,55182050.0 +4349,2017-02-14,232.56,233.71,232.16,233.7,71108983.0 +4350,2017-02-15,233.45,235.14,233.39,234.92,86785826.0 +4351,2017-02-16,234.96,235.155,233.85,234.72,84722437.0 +4352,2017-02-17,233.95,235.09,233.93,235.09,77204104.0 +4353,2017-02-21,235.52,236.69,235.51,236.49,88946051.0 +4354,2017-02-22,236.02,236.54,235.83,236.28,62115185.0 +4355,2017-02-23,236.88,236.9,235.56,236.44,74615902.0 +4356,2017-02-24,235.46,236.7932,235.41,236.74,82381612.0 +4357,2017-02-27,236.64,237.31,236.35,237.11,56515440.0 +4358,2017-02-28,236.67,236.95,236.015,236.47,96961938.0 +4359,2017-03-01,238.39,240.32,238.37,239.78,149158170.0 +4360,2017-03-02,239.56,239.57,238.21,238.27,70245978.0 +4361,2017-03-03,238.17,238.61,237.73,238.42,81974300.0 +4362,2017-03-06,237.5,238.12,237.01,237.71,55391533.0 +4363,2017-03-07,237.36,237.77,236.76,237.0,65103737.0 +4364,2017-03-08,237.34,237.64,236.4,236.56,78168795.0 +4365,2017-03-09,236.7,237.24,235.74,236.86,90683918.0 +4366,2017-03-10,237.97,238.02,236.59,237.69,81991652.0 +4367,2017-03-13,237.62,237.86,237.24,237.81,57256824.0 +4368,2017-03-14,237.18,237.24,236.19,236.9,59880778.0 +4369,2017-03-15,237.56,239.44,237.29,238.95,96081750.0 +4370,2017-03-16,239.11,239.2,238.1,238.48,78343951.0 +4371,2017-03-17,237.75,237.97,237.03,237.03,89002111.0 +4372,2017-03-20,237.03,237.36,236.32,236.77,52536979.0 +4373,2017-03-21,237.47,237.61,233.58,233.73,131809275.0 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+4494,2017-09-12,249.63,250.09,249.42,250.05,56896027.0 +4495,2017-09-13,249.72,250.21,249.59,250.17,59228002.0 +4496,2017-09-14,249.8,250.32,249.6,250.09,95446349.0 +4497,2017-09-15,248.69,249.29,248.57,249.19,95432382.0 +4498,2017-09-18,249.61,250.12,249.28,249.72,46235238.0 +4499,2017-09-19,250.0,250.07,249.6,249.97,47108148.0 +4500,2017-09-20,250.07,250.19,248.92,250.06,59574083.0 +4501,2017-09-21,249.88,249.98,249.19,249.39,48211398.0 +4502,2017-09-22,249.05,249.63,249.02,249.44,51214032.0 +4503,2017-09-25,249.15,249.55,248.08,248.93,57064357.0 +4504,2017-09-26,249.42,249.7,248.81,249.08,54081959.0 +4505,2017-09-27,249.88,250.49,248.87,250.05,81001426.0 +4506,2017-09-28,249.73,250.44,249.63,250.35,44778841.0 +4507,2017-09-29,250.34,251.32,250.13,251.23,85578002.0 +4508,2017-10-02,251.49,252.32,251.29,252.32,59022985.0 +4509,2017-10-03,252.32,252.89,252.23,252.86,66810169.0 +4510,2017-10-04,252.69,253.44,252.56,253.16,55953619.0 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+4529,2017-10-31,257.18,257.44,256.81,257.15,60304781.0 +4530,2017-11-01,258.04,258.43,257.07,257.49,54202736.0 +4531,2017-11-02,257.41,257.75,256.19,257.59,56449535.0 +4532,2017-11-03,257.77,258.5,257.3,258.45,59589730.0 +4533,2017-11-06,258.3,259.0,258.22,258.85,49652598.0 +4534,2017-11-07,258.97,259.35,258.09,258.67,57502161.0 +4535,2017-11-08,258.47,259.22,258.15,259.11,50469579.0 +4536,2017-11-09,257.73,258.39,256.36,258.17,93981044.0 +4537,2017-11-10,257.73,258.29,257.37,258.09,59984662.0 +4538,2017-11-13,257.31,258.59,257.27,258.33,50228648.0 +4539,2017-11-14,257.41,257.85,256.52,257.73,61315152.0 +4540,2017-11-15,256.62,257.22,255.63,256.44,80811525.0 +4541,2017-11-16,257.52,259.04,257.47,258.62,67777027.0 +4542,2017-11-17,258.22,258.59,257.77,257.86,75756833.0 +4543,2017-11-20,258.14,258.52,257.86,258.3,48075514.0 +4544,2017-11-21,259.18,260.2,258.26,259.99,69176799.0 +4545,2017-11-22,260.0,260.15,259.57,259.76,45033392.0 +4546,2017-11-24,260.32,260.48,260.16,260.36,27856514.0 +4547,2017-11-27,260.41,260.75,260.0,260.23,52274922.0 +4548,2017-11-28,260.76,262.9,260.65,262.87,98971719.0 +4549,2017-11-29,263.02,263.63,262.2,262.71,77512102.0 +4550,2017-11-30,263.76,266.05,263.67,265.01,127894389.0 +4551,2017-12-01,264.76,265.31,260.76,264.46,164390902.0 +4552,2017-12-04,266.31,266.8,264.08,264.14,94040560.0 +4553,2017-12-05,263.19,265.15,263.04,263.19,77994544.0 +4554,2017-12-06,263.3,263.73,262.71,263.24,75898566.0 +4555,2017-12-07,264.07,264.43,262.94,264.07,77218569.0 +4556,2017-12-08,265.16,265.52,264.03,265.51,76563873.0 +4557,2017-12-11,266.31,266.38,265.48,266.31,83077533.0 +4558,2017-12-12,267.21,267.32,266.35,266.78,85195750.0 +4559,2017-12-13,267.06,267.56,266.65,266.75,102905409.0 +4560,2017-12-14,267.09,267.22,265.6,265.66,100666692.0 +4561,2017-12-15,265.45,267.04,265.39,266.51,144610290.0 +4562,2017-12-18,268.1,268.6,267.98,268.2,83653572.0 +4563,2017-12-19,268.48,268.53,267.09,267.17,82382876.0 +4564,2017-12-20,268.27,268.33,266.69,267.03,76751500.0 +4565,2017-12-21,267.74,268.39,267.3,267.58,67032339.0 +4566,2017-12-22,267.6,267.64,266.9,267.51,78720873.0 +4567,2017-12-26,267.05,267.44,266.89,267.19,45244433.0 +4568,2017-12-27,267.38,267.73,267.01,267.32,57750986.0 +4569,2017-12-28,267.89,267.92,267.45,267.87,45116139.0 +4570,2017-12-29,268.53,268.55,266.64,266.86,96007424.0 +4571,2018-01-02,267.84,268.81,267.4,268.77,86655749.0 +4572,2018-01-03,268.96,270.64,268.96,270.47,90070416.0 +4573,2018-01-04,271.2,272.16,270.54,271.61,80636408.0 +4574,2018-01-05,272.51,273.56,271.95,273.42,83523995.0 +4575,2018-01-08,273.31,274.1,272.98,273.92,57319192.0 +4576,2018-01-09,274.4,275.25,274.08,274.54,57253957.0 +4577,2018-01-10,273.68,274.42,272.92,274.12,69574318.0 +4578,2018-01-11,274.75,276.12,274.56,276.12,62361455.0 +4579,2018-01-12,276.42,278.11,276.08,277.92,90816076.0 +4580,2018-01-16,279.35,280.09,276.18,276.97,106555142.0 +4581,2018-01-17,278.03,280.05,276.97,279.61,113258799.0 +4582,2018-01-18,279.48,279.96,278.58,279.14,100728006.0 +4583,2018-01-19,279.8,280.41,279.14,280.41,140920098.0 +4584,2018-01-22,280.17,282.69,280.11,282.69,91322408.0 +4585,2018-01-23,282.74,283.62,282.37,283.29,97084700.0 +4586,2018-01-24,284.02,284.7,281.84,283.18,134816117.0 +4587,2018-01-25,284.16,284.27,282.4,283.3,84587313.0 +4588,2018-01-26,284.25,286.63,283.96,286.58,107743119.0 +4589,2018-01-29,285.93,286.43,284.5,284.68,90118337.0 +4590,2018-01-30,282.6,284.74,281.22,281.76,131796419.0 +4591,2018-01-31,282.73,283.3,280.68,281.9,118948131.0 +4592,2018-02-01,281.07,283.06,280.68,281.58,90102470.0 +4593,2018-02-02,280.08,280.23,275.41,275.45,173174790.0 +4594,2018-02-05,273.45,275.85,263.31,263.93,294681816.0 +4595,2018-02-06,259.94,269.7,258.7,269.13,355026782.0 +4596,2018-02-07,268.5,272.36,267.58,267.67,167376100.0 +4597,2018-02-08,268.01,268.17,257.59,257.63,246449505.0 +4598,2018-02-09,260.8,263.61,252.92,261.5,283565315.0 +4599,2018-02-12,263.83,267.01,261.66,265.34,143735976.0 +4600,2018-02-13,263.97,266.62,263.31,266.0,81223640.0 +4601,2018-02-14,264.31,270.0,264.3,269.59,120735685.0 +4602,2018-02-15,271.57,273.04,268.77,273.03,111200286.0 +4603,2018-02-16,272.32,275.32,272.27,273.11,160420135.0 +4604,2018-02-20,272.03,273.67,270.5,271.4,86369662.0 +4605,2018-02-21,271.9,274.72,269.94,270.05,98883740.0 +4606,2018-02-22,271.1,273.05,269.64,270.4,110511290.0 +4607,2018-02-23,271.79,274.71,271.25,274.71,92766428.0 +4608,2018-02-26,275.93,278.01,275.26,277.9,86491406.0 +4609,2018-02-27,278.11,278.92,274.36,274.43,99099165.0 +4610,2018-02-28,275.68,276.19,271.29,271.65,121907767.0 +4611,2018-03-01,271.41,273.17,266.0,267.7,176855077.0 +4612,2018-03-02,265.8,269.72,264.82,269.08,139083217.0 +4613,2018-03-05,267.73,272.89,267.61,272.19,97307387.0 +4614,2018-03-06,273.3,273.39,271.18,272.88,79213163.0 +4615,2018-03-07,270.42,273.18,270.2,272.78,87063502.0 +4616,2018-03-08,273.55,274.24,272.42,274.1,66901150.0 +4617,2018-03-09,275.7,278.87,275.34,278.87,113625335.0 +4618,2018-03-12,279.2,279.91,278.08,278.52,71924793.0 +4619,2018-03-13,279.84,280.41,276.03,276.72,91968937.0 +4620,2018-03-14,277.81,278.02,274.67,275.3,105895079.0 +4621,2018-03-15,275.88,276.61,274.43,275.0,83433038.0 +4622,2018-03-16,274.5,275.39,274.14,274.2,100343673.0 +4623,2018-03-19,273.35,274.4,268.62,270.49,109208442.0 +4624,2018-03-20,270.94,271.67,270.18,270.95,59757271.0 +4625,2018-03-21,270.9,273.27,270.19,270.43,78709578.0 +4626,2018-03-22,267.91,268.87,263.36,263.67,148785916.0 +4627,2018-03-23,264.17,264.54,257.83,258.05,183534751.0 +4628,2018-03-26,262.13,265.43,259.41,265.11,141956102.0 +4629,2018-03-27,266.17,266.77,258.84,260.6,129941445.0 +4630,2018-03-28,260.75,262.64,258.58,259.83,146452306.0 +4631,2018-03-29,261.12,265.26,259.84,263.15,124244790.0 +4632,2018-04-02,262.55,263.13,254.67,257.47,186286343.0 +4633,2018-04-03,258.87,261.31,256.84,260.77,119956861.0 +4634,2018-04-04,256.75,264.36,256.6,263.56,123715339.0 +4635,2018-04-05,265.55,266.64,264.32,265.64,82652618.0 +4636,2018-04-06,263.42,265.11,258.0,259.72,179521209.0 +4637,2018-04-09,261.37,264.84,259.94,261.0,105442932.0 +4638,2018-04-10,264.27,266.04,262.98,265.15,105573736.0 +4639,2018-04-11,263.47,265.64,263.39,263.76,91140243.0 +4640,2018-04-12,265.26,267.0,265.06,265.93,68890480.0 +4641,2018-04-13,267.41,267.54,264.01,265.15,85079176.0 +4642,2018-04-16,267.0,268.2,266.07,267.33,63405287.0 +4643,2018-04-17,269.33,270.87,268.75,270.19,64682036.0 +4644,2018-04-18,270.69,271.3,269.87,270.39,57303857.0 +4645,2018-04-19,269.65,269.88,267.72,268.89,77655909.0 +4646,2018-04-20,268.81,269.06,265.61,266.61,99953133.0 +4647,2018-04-23,267.26,267.89,265.35,266.57,65557954.0 +4648,2018-04-24,267.73,267.98,261.28,262.98,112885452.0 +4649,2018-04-25,262.91,264.13,260.85,263.63,103756753.0 +4650,2018-04-26,264.79,267.25,264.29,266.31,67731942.0 +4651,2018-04-27,267.0,267.34,265.5,266.56,57053647.0 +4652,2018-04-30,267.26,267.89,264.43,264.51,82182324.0 +4653,2018-05-01,263.87,265.1,262.11,264.98,74203365.0 +4654,2018-05-02,264.76,265.68,262.76,263.2,86368943.0 +4655,2018-05-03,262.26,263.36,259.05,262.62,136311479.0 +4656,2018-05-04,261.52,266.79,261.15,266.02,91222075.0 +4657,2018-05-07,266.89,268.02,266.11,266.92,55304907.0 +4658,2018-05-08,266.5,267.33,265.15,266.92,67499247.0 +4659,2018-05-09,267.68,269.87,267.09,269.5,59666143.0 +4660,2018-05-10,270.34,272.39,270.22,272.02,72063931.0 +4661,2018-05-11,272.16,273.15,271.58,272.85,59871511.0 +4662,2018-05-14,273.34,274.08,272.36,272.98,54790606.0 +4663,2018-05-15,271.59,271.61,270.03,271.1,87036136.0 +4664,2018-05-16,271.14,272.76,271.11,272.24,53942631.0 +4665,2018-05-17,271.94,273.23,271.13,272.01,56536400.0 +4666,2018-05-18,271.62,272.03,270.93,271.33,64367959.0 +4667,2018-05-21,273.01,273.98,272.57,273.37,58025875.0 +4668,2018-05-22,273.96,274.25,272.24,272.61,52966358.0 +4669,2018-05-23,271.17,273.39,270.99,273.36,64694184.0 +4670,2018-05-24,272.91,273.22,270.78,272.8,76043827.0 +4671,2018-05-25,272.15,272.86,271.58,272.15,56374755.0 +4672,2018-05-29,270.31,271.17,267.76,269.02,115908607.0 +4673,2018-05-30,270.5,273.11,270.42,272.61,69678449.0 +4674,2018-05-31,272.15,272.49,270.26,270.94,93519941.0 +4675,2018-06-01,272.41,273.94,272.33,273.6,71258411.0 +4676,2018-06-04,274.53,275.19,274.26,274.9,45385166.0 +4677,2018-06-05,275.05,275.53,274.18,275.1,51135038.0 +4678,2018-06-06,275.79,277.52,275.09,277.4,62732215.0 +4679,2018-06-07,277.95,278.28,276.34,277.37,72969402.0 +4680,2018-06-08,276.85,278.25,276.66,278.19,72139719.0 +4681,2018-06-11,278.44,279.37,278.31,278.56,58892515.0 +4682,2018-06-12,279.03,279.33,278.19,278.92,72329028.0 +4683,2018-06-13,279.19,279.48,277.8,278.03,79070610.0 +4684,2018-06-14,279.01,279.33,278.06,278.73,77097620.0 +4685,2018-06-15,276.6,277.51,275.35,277.13,120041562.0 +4686,2018-06-18,275.49,276.7,274.95,276.56,52917581.0 +4687,2018-06-19,274.0,275.75,273.53,275.5,97531510.0 +4688,2018-06-20,276.27,276.72,275.59,275.97,53785486.0 +4689,2018-06-21,275.96,275.98,273.68,274.24,71061404.0 +4690,2018-06-22,275.66,275.79,274.49,274.74,56612003.0 +4691,2018-06-25,273.44,273.62,269.1,271.0,137854162.0 +4692,2018-06-26,271.64,272.56,270.79,271.6,68683211.0 +4693,2018-06-27,272.26,273.87,269.18,269.35,104960655.0 +4694,2018-06-28,269.29,271.75,268.49,270.89,76650517.0 +4695,2018-06-29,272.12,273.66,271.15,271.28,97592499.0 +4696,2018-07-02,269.51,272.04,269.24,271.86,63554774.0 +4697,2018-07-03,272.87,272.98,270.42,270.9,42187071.0 +4698,2018-07-05,272.17,273.18,270.96,273.11,56925919.0 +4699,2018-07-06,273.14,275.84,272.71,275.42,66493696.0 +4700,2018-07-09,276.55,277.96,276.5,277.9,50550399.0 +4701,2018-07-10,278.41,279.01,278.08,278.9,51966829.0 +4702,2018-07-11,277.15,278.04,276.52,276.86,77054739.0 +4703,2018-07-12,278.28,279.43,277.6,279.37,60124687.0 +4704,2018-07-13,279.17,279.93,278.66,279.59,48234964.0 +4705,2018-07-16,279.64,279.8,278.84,279.34,48201038.0 +4706,2018-07-17,278.47,280.91,278.41,280.47,52315500.0 +4707,2018-07-18,280.56,281.18,280.06,281.06,44593465.0 +4708,2018-07-19,280.31,280.74,279.46,280.0,61412117.0 +4709,2018-07-20,279.77,280.48,279.5,279.68,82372729.0 +4710,2018-07-23,279.45,280.43,279.06,280.2,47047565.0 +4711,2018-07-24,281.79,282.56,280.63,281.61,68026935.0 +4712,2018-07-25,281.33,284.37,281.28,284.01,78882927.0 +4713,2018-07-26,283.2,284.11,283.09,283.34,57919495.0 +4714,2018-07-27,283.71,283.82,280.38,281.42,76783177.0 +4715,2018-07-30,281.51,281.69,279.36,279.95,63742508.0 +4716,2018-07-31,280.81,282.02,280.38,281.33,68570493.0 +4717,2018-08-01,281.56,282.13,280.13,280.86,53853326.0 +4718,2018-08-02,279.39,282.58,279.16,282.39,63426363.0 +4719,2018-08-03,282.53,283.66,282.33,283.6,53935386.0 +4720,2018-08-06,283.64,284.99,283.2,284.64,39400887.0 +4721,2018-08-07,285.39,286.01,285.24,285.58,43196646.0 +4722,2018-08-08,285.39,285.91,284.94,285.46,42114551.0 +4723,2018-08-09,285.53,285.97,284.92,285.07,35716976.0 +4724,2018-08-10,283.45,284.06,282.36,283.16,77076044.0 +4725,2018-08-13,283.47,284.16,281.77,282.1,65732909.0 +4726,2018-08-14,282.92,284.17,282.48,283.9,43842031.0 +4727,2018-08-15,282.38,282.54,280.16,281.78,102925355.0 +4728,2018-08-16,283.4,285.04,283.36,284.06,69967919.0 +4729,2018-08-17,283.83,285.56,283.37,285.06,65618481.0 +4730,2018-08-20,285.57,285.97,285.06,285.67,39807490.0 +4731,2018-08-21,286.25,287.31,285.71,286.34,67271983.0 +4732,2018-08-22,285.88,286.76,285.58,286.17,44993333.0 +4733,2018-08-23,285.97,286.94,285.43,285.79,49204851.0 +4734,2018-08-24,286.44,287.67,286.38,287.51,57487399.0 +4735,2018-08-27,288.86,289.9,288.68,289.78,57072377.0 +4736,2018-08-28,290.3,290.42,289.4,289.92,46943472.0 +4737,2018-08-29,290.16,291.74,289.89,291.48,61485514.0 +4738,2018-08-30,290.94,291.36,289.63,290.3,61229501.0 +4739,2018-08-31,289.84,290.81,289.29,290.31,66140838.0 +4740,2018-09-04,289.84,290.21,288.68,289.81,57594367.0 +4741,2018-09-05,289.41,289.64,287.89,289.03,72452437.0 +4742,2018-09-06,289.15,289.49,287.0,288.16,65909863.0 +4743,2018-09-07,286.98,288.7,286.71,287.6,73524824.0 +4744,2018-09-10,288.74,289.04,287.88,288.1,50191113.0 +4745,2018-09-11,287.37,289.55,286.98,289.05,50530492.0 +4746,2018-09-12,289.06,289.8,288.23,289.12,59810758.0 +4747,2018-09-13,290.32,291.04,290.0,290.83,51034222.0 +4748,2018-09-14,291.06,291.27,290.0,290.88,55079875.0 +4749,2018-09-17,290.82,290.86,289.03,289.34,68244043.0 +4750,2018-09-18,289.58,291.58,289.55,290.91,61930407.0 +4751,2018-09-19,290.97,291.69,290.83,291.22,49080562.0 +4752,2018-09-20,292.64,293.94,291.24,293.58,100360646.0 +4753,2018-09-21,293.09,293.22,291.81,291.99,105479656.0 +4754,2018-09-24,291.34,291.5,290.37,291.02,53409645.0 +4755,2018-09-25,291.53,291.65,290.48,290.75,44370037.0 +4756,2018-09-26,290.91,292.24,289.41,289.88,79739674.0 +4757,2018-09-27,290.41,291.91,290.1,290.69,59249455.0 +4758,2018-09-28,289.99,291.28,289.95,290.72,70091385.0 +4759,2018-10-01,292.11,292.93,290.98,291.73,62078937.0 +4760,2018-10-02,291.56,292.36,291.14,291.56,47258227.0 +4761,2018-10-03,292.74,293.21,291.32,291.72,64694594.0 +4762,2018-10-04,291.18,291.24,287.66,289.44,111545910.0 +4763,2018-10-05,289.69,290.27,286.22,287.82,105951698.0 +4764,2018-10-08,287.05,288.22,285.5,287.82,87742172.0 +4765,2018-10-09,287.39,288.86,286.77,287.4,74338982.0 +4766,2018-10-10,286.83,286.91,277.88,278.3,214731042.0 +4767,2018-10-11,277.08,278.9,270.36,272.17,274840491.0 +4768,2018-10-12,276.77,277.09,272.37,275.95,183186492.0 +4769,2018-10-15,275.55,277.04,274.3,274.4,102263717.0 +4770,2018-10-16,276.6,280.82,276.07,280.4,118255834.0 +4771,2018-10-17,280.44,281.15,277.56,280.45,110625987.0 +4772,2018-10-18,279.4,280.07,274.97,276.4,134557525.0 +4773,2018-10-19,277.13,279.3,275.47,276.25,139901634.0 +4774,2018-10-22,277.0,277.36,274.41,275.01,82415812.0 +4775,2018-10-23,270.95,274.87,268.61,273.61,146352719.0 +4776,2018-10-24,273.33,273.76,264.7,265.32,177806697.0 +4777,2018-10-25,267.38,271.81,266.23,270.08,138061545.0 +4778,2018-10-26,265.92,271.0,262.29,265.33,201574596.0 +4779,2018-10-29,268.8,270.25,259.85,263.86,160749101.0 +4780,2018-10-30,263.67,268.12,263.12,267.77,157115995.0 +4781,2018-10-31,270.65,273.23,270.12,270.63,128296325.0 +4782,2018-11-01,271.6,273.73,270.38,273.51,99495037.0 +4783,2018-11-02,274.75,275.23,269.59,271.89,122634107.0 +4784,2018-11-05,272.44,274.01,271.35,273.39,65622482.0 +4785,2018-11-06,273.32,275.3,273.25,275.12,60085894.0 +4786,2018-11-07,277.56,281.1,277.08,281.01,102752099.0 +4787,2018-11-08,280.11,281.22,279.22,280.5,65584886.0 +4788,2018-11-09,279.03,279.24,276.18,277.76,98812561.0 +4789,2018-11-12,277.19,277.46,271.99,272.57,99673574.0 +4790,2018-11-13,273.09,275.33,271.25,272.06,98176610.0 +4791,2018-11-14,274.16,274.61,268.45,270.2,125335931.0 +4792,2018-11-15,268.78,273.54,267.01,273.02,135101437.0 +4793,2018-11-16,271.79,274.75,271.21,273.73,126668040.0 +4794,2018-11-19,273.05,273.38,268.07,269.1,103061706.0 +4795,2018-11-20,265.36,267.0,263.15,264.12,136021311.0 +4796,2018-11-21,265.86,267.15,265.01,265.02,75563743.0 +4797,2018-11-23,263.18,264.82,263.07,263.25,42807878.0 +4798,2018-11-26,265.78,267.75,265.34,267.5,79981362.0 +4799,2018-11-27,266.34,268.4,265.66,268.4,75502441.0 +4800,2018-11-28,269.6,274.58,268.33,274.58,127629633.0 +4801,2018-11-29,273.71,275.55,272.43,273.98,82346420.0 +4802,2018-11-30,273.81,276.28,273.45,275.65,98204190.0 +4803,2018-12-03,280.28,280.4,277.51,279.3,103017719.0 +4804,2018-12-04,278.37,278.85,269.9,270.25,177986013.0 +4805,2018-12-06,265.92,269.97,262.44,269.84,204185411.0 +4806,2018-12-07,269.46,271.22,262.63,263.57,161018923.0 +4807,2018-12-10,263.37,265.16,258.62,264.07,151445885.0 +4808,2018-12-11,267.66,267.87,262.48,264.13,121504431.0 +4809,2018-12-12,267.47,269.0,265.37,265.46,97976706.0 +4810,2018-12-13,266.52,267.49,264.12,265.37,96662717.0 +4811,2018-12-14,262.96,264.03,259.85,260.47,116961071.0 +4812,2018-12-17,259.4,260.65,253.53,255.36,165492257.0 +4813,2018-12-18,257.2,257.95,253.28,255.08,134515094.0 +4814,2018-12-19,255.17,259.4,249.35,251.26,214992763.0 +4815,2018-12-20,249.86,251.62,244.65,247.17,252053377.0 +4816,2018-12-21,246.74,249.71,239.98,240.7,255345633.0 +4817,2018-12-24,239.04,240.84,234.27,234.34,147311588.0 +4818,2018-12-26,235.97,246.18,233.76,246.18,218485360.0 +4819,2018-12-27,242.57,248.29,238.96,248.07,186267342.0 +4820,2018-12-28,249.58,251.4,246.45,247.75,153100189.0 +4821,2018-12-31,249.56,250.19,247.47,249.92,144299370.0 +4822,2019-01-02,245.98,251.21,245.95,250.18,126925199.0 +4823,2019-01-03,248.23,248.57,243.67,244.21,144140692.0 +4824,2019-01-04,247.59,253.11,247.17,252.39,142628834.0 +4825,2019-01-07,252.69,255.95,251.69,254.38,103139100.0 +4826,2019-01-08,256.82,257.31,254.0,256.77,102512587.0 +4827,2019-01-09,257.56,258.91,256.19,257.97,95006554.0 +4828,2019-01-10,256.26,259.16,255.5,258.88,96823923.0 +4829,2019-01-11,257.68,259.01,257.03,258.98,73858110.0 +4830,2019-01-14,256.86,258.3,256.41,257.4,70908227.0 +4831,2019-01-15,257.82,260.7,257.81,260.35,85208271.0 +4832,2019-01-16,260.83,261.97,260.6,260.98,77636710.0 +4833,2019-01-17,260.01,263.92,259.96,262.96,96118435.0 +4834,2019-01-18,264.98,266.98,263.0,266.46,127900303.0 +4835,2019-01-22,264.82,265.06,261.06,262.86,115531183.0 +4836,2019-01-23,264.01,264.79,260.66,263.41,86030287.0 +4837,2019-01-24,263.21,264.2,262.08,263.55,59204139.0 +4838,2019-01-25,265.61,266.7,263.66,265.78,96883358.0 +4839,2019-01-28,263.39,263.83,261.79,263.76,85613655.0 +4840,2019-01-29,263.92,264.55,262.48,263.41,66136334.0 +4841,2019-01-30,265.1,268.52,264.25,267.58,92473671.0 +4842,2019-01-31,267.51,270.47,267.27,269.93,104012073.0 +4843,2019-02-01,270.15,271.2,269.18,270.06,85782524.0 +4844,2019-02-04,270.11,272.03,269.36,271.96,60744844.0 +4845,2019-02-05,272.44,273.44,271.88,273.1,79552774.0 +4846,2019-02-06,272.79,273.34,271.92,272.74,58347791.0 +4847,2019-02-07,270.94,271.55,268.29,270.14,95481961.0 +4848,2019-02-08,268.75,270.58,267.83,270.47,75788861.0 +4849,2019-02-11,271.2,271.49,270.03,270.62,68021423.0 +4850,2019-02-12,272.42,274.52,272.34,274.1,72270221.0 +4851,2019-02-13,275.03,275.93,274.56,274.99,65277204.0 +4852,2019-02-14,273.78,275.64,272.87,274.38,83234396.0 +4853,2019-02-15,276.36,277.41,276.13,277.37,97088659.0 +4854,2019-02-19,276.48,278.58,276.47,277.85,59120804.0 +4855,2019-02-20,277.81,278.92,277.25,278.41,76610767.0 +4856,2019-02-21,277.7,278.1,276.35,277.42,64214727.0 +4857,2019-02-22,278.11,279.36,277.4,279.14,78114616.0 +4858,2019-02-25,280.73,281.31,279.43,279.52,69030699.0 +4859,2019-02-26,279.13,280.3,278.9,279.32,56844101.0 +4860,2019-02-27,278.52,279.59,277.48,279.2,56921570.0 +4861,2019-02-28,278.96,279.45,278.32,278.68,69268293.0 +4862,2019-03-01,280.44,280.88,278.82,280.42,78880548.0 +4863,2019-03-04,281.6,281.87,276.84,279.4,106494637.0 +4864,2019-03-05,279.54,279.76,278.41,279.02,59114559.0 +4865,2019-03-06,279.15,279.16,276.97,277.33,75039771.0 +4866,2019-03-07,276.83,276.99,274.07,275.01,94885089.0 +4867,2019-03-08,272.94,274.65,272.42,274.46,85795799.0 +4868,2019-03-11,275.26,278.62,275.23,278.44,65098897.0 +4869,2019-03-12,279.06,280.07,278.85,279.49,79667530.0 +4870,2019-03-13,280.48,282.38,280.3,281.34,80639153.0 +4871,2019-03-14,281.37,281.84,280.67,281.16,67518366.0 +4872,2019-03-15,280.54,282.21,280.33,281.31,81308979.0 +4873,2019-03-18,281.55,282.66,281.3,282.33,62199806.0 +4874,2019-03-19,283.51,284.36,281.41,282.4,90268121.0 +4875,2019-03-20,282.16,283.5,280.32,281.55,84609210.0 +4876,2019-03-21,280.64,285.18,280.59,284.73,79550375.0 +4877,2019-03-22,283.22,283.8,279.18,279.25,122659286.0 +4878,2019-03-25,278.87,280.19,277.64,279.04,85575197.0 +4879,2019-03-26,280.99,282.18,279.56,281.12,68125920.0 +4880,2019-03-27,281.11,281.76,277.93,279.65,72224722.0 +4881,2019-03-28,280.35,281.21,279.07,280.71,56238545.0 +4882,2019-03-29,282.39,282.84,281.14,282.48,82186806.0 +4883,2019-04-01,284.7,286.16,284.4,285.83,77617945.0 +4884,2019-04-02,286.04,286.23,285.09,285.97,40070351.0 +4885,2019-04-03,287.32,287.76,285.75,286.42,68243202.0 +4886,2019-04-04,286.78,287.46,286.01,287.18,48997505.0 +4887,2019-04-05,287.92,288.63,287.6,288.57,58621729.0 +4888,2019-04-08,288.1,288.91,287.37,288.79,53566335.0 +4889,2019-04-09,287.72,288.08,286.7,287.31,66142316.0 +4890,2019-04-10,287.77,288.39,287.31,288.29,52601499.0 +4891,2019-04-11,288.83,288.84,287.58,288.21,55093100.0 +4892,2019-04-12,290.0,290.47,288.26,290.16,69727782.0 +4893,2019-04-15,290.24,290.35,289.08,289.97,49596685.0 +4894,2019-04-16,290.95,291.01,289.5,290.16,52153197.0 +4895,2019-04-17,291.4,291.43,288.99,289.45,58268295.0 +4896,2019-04-18,290.1,290.32,288.66,290.02,68708513.0 +4897,2019-04-22,289.17,290.44,289.07,290.27,40160140.0 +4898,2019-04-23,290.68,293.14,290.42,292.88,52246633.0 +4899,2019-04-24,292.79,293.16,292.07,292.23,50392914.0 +4900,2019-04-25,292.12,292.78,290.73,292.05,57770862.0 +4901,2019-04-26,292.1,293.49,291.24,293.41,50916423.0 +4902,2019-04-29,293.51,294.45,293.41,293.87,57197747.0 +4903,2019-04-30,293.49,294.34,291.92,294.02,81111733.0 +4904,2019-05-01,294.72,294.95,291.8,291.81,71671870.0 +4905,2019-05-02,291.68,292.7,289.52,291.18,65030170.0 +4906,2019-05-03,292.82,294.34,291.3,294.03,56543653.0 +4907,2019-05-06,289.25,293.31,288.9,292.82,107198069.0 +4908,2019-05-07,290.15,290.81,285.81,287.93,144729908.0 +4909,2019-05-08,287.53,289.43,286.87,287.53,91568287.0 +4910,2019-05-09,285.23,287.33,283.3,286.66,103471104.0 +4911,2019-05-10,285.62,288.94,282.3,288.1,112429293.0 +4912,2019-05-13,282.42,283.49,279.93,280.86,127290527.0 +4913,2019-05-14,281.99,285.1,281.85,283.4,77003230.0 +4914,2019-05-15,281.59,285.77,281.36,285.06,73956407.0 +4915,2019-05-16,285.84,289.21,285.76,287.7,76749643.0 +4916,2019-05-17,285.14,288.6,285.12,285.84,100353024.0 +4917,2019-05-20,284.06,285.96,283.12,283.95,62877610.0 +4918,2019-05-21,285.83,286.93,285.55,286.51,46847085.0 +4919,2019-05-22,285.45,286.69,285.1,285.63,49482472.0 +4920,2019-05-23,283.16,283.21,280.57,282.14,98733847.0 +4921,2019-05-24,283.74,284.2,282.09,282.78,55268095.0 +4922,2019-05-28,283.09,284.15,280.13,280.15,70029356.0 +4923,2019-05-29,278.91,279.36,276.71,278.27,104972927.0 +4924,2019-05-30,279.11,280.04,277.81,279.03,62523780.0 +4925,2019-05-31,276.2,277.12,275.24,275.27,86862782.0 +4926,2019-06-03,275.31,276.55,273.09,274.57,96427952.0 +4927,2019-06-04,277.12,280.68,276.62,280.53,77231889.0 +4928,2019-06-05,282.33,282.99,280.32,282.96,71169717.0 +4929,2019-06-06,283.29,285.55,282.57,284.8,69430381.0 +4930,2019-06-07,285.93,288.85,285.74,287.65,74272199.0 +4931,2019-06-10,289.37,290.82,288.87,288.97,60799053.0 +4932,2019-06-11,290.99,291.4,288.18,288.9,58641325.0 +4933,2019-06-12,288.64,289.26,287.82,288.39,47096312.0 +4934,2019-06-13,289.4,289.98,288.62,289.58,48945156.0 +4935,2019-06-14,289.26,289.93,288.41,289.26,52324716.0 +4936,2019-06-17,289.52,290.22,289.18,289.37,39205709.0 +4937,2019-06-18,291.39,293.57,290.99,292.4,85434823.0 +4938,2019-06-19,292.55,293.65,291.47,293.06,78674377.0 +4939,2019-06-20,296.04,296.31,293.13,295.86,116570017.0 +4940,2019-06-21,294.13,295.52,293.76,294.0,83309466.0 +4941,2019-06-24,294.23,294.58,293.47,293.64,47582730.0 +4942,2019-06-25,293.7,293.73,290.64,290.76,82028656.0 +4943,2019-06-26,291.75,292.31,290.345,290.47,51584902.0 +4944,2019-06-27,291.31,292.06,290.89,291.5,40355239.0 +4945,2019-06-28,292.58,293.55,292.01,293.0,59350929.0 +4946,2019-07-01,296.68,296.92,294.33,295.66,79107474.0 +4947,2019-07-02,295.61,296.49,294.68,296.43,61504544.0 +4948,2019-07-03,297.18,298.82,297.02,298.8,40898896.0 +4949,2019-07-05,297.44,298.64,296.01,298.46,51677326.0 +4950,2019-07-08,297.01,298.2579,296.22,296.82,45841772.0 +4951,2019-07-09,295.54,297.52,295.48,297.19,41101279.0 +4952,2019-07-10,298.37,299.66,297.78,298.61,58595558.0 +4953,2019-07-11,299.32,299.58,298.2,299.31,50889481.0 +4954,2019-07-12,299.85,300.73,299.51,300.65,40354410.0 +4955,2019-07-15,301.13,301.13,300.19,300.75,33910261.0 +4956,2019-07-16,300.65,300.88,299.44,299.71,40567964.0 +4957,2019-07-17,299.75,299.93,297.74,297.74,44102443.0 +4958,2019-07-18,297.19,299.25,296.7,298.83,51701687.0 +4959,2019-07-19,300.04,300.07,296.96,297.17,71081238.0 +4960,2019-07-22,297.61,298.5,297.04,297.9,43687404.0 +4961,2019-07-23,299.14,300.03,298.22,300.03,44657973.0 +4962,2019-07-24,299.19,301.44,299.09,301.44,47213232.0 +4963,2019-07-25,300.94,301.0,299.11,300.0,55394074.0 +4964,2019-07-26,300.76,302.23,300.62,302.01,45084077.0 +4965,2019-07-29,301.88,301.93,300.85,301.46,38126462.0 +4966,2019-07-30,299.91,301.17,299.49,300.72,45849045.0 +4967,2019-07-31,300.99,301.2,295.2,297.43,104245162.0 +4968,2019-08-01,297.6,300.87,293.96,294.84,142646576.0 +4969,2019-08-02,293.85,294.12,290.9,292.62,116749695.0 +4970,2019-08-05,288.09,288.21,281.72,283.82,178745449.0 +4971,2019-08-06,285.91,288.04,284.28,287.8,120711682.0 +4972,2019-08-07,284.4,288.82,282.04,287.97,140572265.0 +4973,2019-08-08,289.62,293.62,289.01,293.62,87713904.0 +4974,2019-08-09,292.58,293.24,289.65,291.62,93729958.0 +4975,2019-08-12,289.96,291.61,287.02,288.07,62629500.0 +4976,2019-08-13,287.74,294.15,287.36,292.55,94792972.0 +4977,2019-08-14,288.07,292.4644,283.76,283.9,135622053.0 +4978,2019-08-15,284.88,285.64,282.39,284.65,101929845.0 +4979,2019-08-16,286.48,289.33,284.7138,288.85,85825286.0 +4980,2019-08-19,292.19,293.08,291.44,292.33,53640153.0 +4981,2019-08-20,291.77,292.36,289.95,290.09,51652752.0 +4982,2019-08-21,292.48,292.86,291.72,292.45,49723430.0 +4983,2019-08-22,293.23,293.93,290.4,292.36,51739292.0 +4984,2019-08-23,290.92,292.76,283.47,284.85,149318151.0 +4985,2019-08-26,287.27,288.0,285.58,288.0,72620598.0 +4986,2019-08-27,289.54,289.95,286.03,286.87,68262998.0 +4987,2019-08-28,286.14,289.07,285.25,288.89,58891544.0 +4988,2019-08-29,291.72,293.16,290.61,292.58,57998913.0 +4989,2019-08-30,294.22,294.2399,291.42,292.4527,62831109.0 +4990,2019-09-03,290.57,291.58,289.27,290.75,69078772.0 +4991,2019-09-04,293.14,294.055,292.31,293.97,46813644.0 +4992,2019-09-05,296.79,298.83,294.001,297.75,83197295.0 +4993,2019-09-06,298.17,298.76,297.42,298.05,49510922.0 +4994,2019-09-09,299.14,299.24,297.16,298.2,51086154.0 +4995,2019-09-10,297.36,298.2,295.97,298.13,57698673.0 +4996,2019-09-11,298.47,300.34,297.75,300.25,68008165.0 +4997,2019-09-12,301.25,302.46,300.41,301.29,72546530.0 +4998,2019-09-13,301.78,302.17,300.68,301.09,62053458.0 +4999,2019-09-16,299.84,301.1378,299.45,300.16,57934320.0 +5000,2019-09-17,299.94,301.02,299.75,300.92,42770135.0 +5001,2019-09-18,300.49,301.22,298.24,301.1,73875018.0 +5002,2019-09-19,301.53,302.63,300.7103,301.08,77933334.0 +5003,2019-09-20,300.36,300.67,297.41,298.28,96939851.0 +5004,2019-09-23,297.55,299.0,297.27,298.21,47134009.0 +5005,2019-09-24,299.41,299.84,294.81,295.87,97160127.0 +5006,2019-09-25,295.96,298.11,294.33,297.62,73267803.0 +5007,2019-09-26,297.63,297.86,295.45,297.0,58594707.0 +5008,2019-09-27,297.83,297.9465,293.69,295.4,84755721.0 +5009,2019-09-30,295.97,297.55,295.92,296.77,52438861.0 +5010,2019-10-01,297.74,298.455,293.0,293.24,89425082.0 +5011,2019-10-02,291.5,291.51,286.64,288.06,124208927.0 +5012,2019-10-03,287.81,290.45,284.82,290.42,85718095.0 +5013,2019-10-04,291.14,294.63,290.82,294.35,66737063.0 +5014,2019-10-07,293.47,295.26,292.77,293.08,60549809.0 +5015,2019-10-08,291.04,291.85,288.49,288.53,101367099.0 +5016,2019-10-09,290.75,292.3,288.6559,291.27,64341784.0 +5017,2019-10-10,291.18,294.21,291.0,293.24,54459839.0 +5018,2019-10-11,296.27,298.74,296.1448,296.28,101099695.0 +5019,2019-10-14,295.93,296.67,295.57,295.95,40467320.0 +5020,2019-10-15,297.1,299.7,296.97,298.88,48123837.0 +5021,2019-10-16,298.37,299.16,297.92,298.4,50293197.0 +5022,2019-10-17,299.68,300.24,298.515,299.28,46676445.0 +5023,2019-10-18,298.69,299.395,296.99,297.97,64293228.0 +5024,2019-10-21,299.42,300.21,298.935,299.99,39388285.0 +5025,2019-10-22,300.58,300.9,298.91,299.01,49028214.0 +5026,2019-10-23,298.73,299.94,298.495,299.88,34857719.0 +5027,2019-10-24,300.91,301.07,299.4601,300.37,35688865.0 +5028,2019-10-25,299.74,302.2,299.6806,301.6,45145150.0 +5029,2019-10-28,302.94,303.85,302.91,303.3,40174540.0 +5030,2019-10-29,303.0001,304.23,302.86,303.21,44201626.0 +5031,2019-10-30,303.43,304.55,301.99,304.14,49542312.0 +5032,2019-10-31,304.13,304.13,301.73,303.33,68955393.0 +5033,2019-11-01,304.916,306.19,304.74,306.14,71071915.0 +5034,2019-11-04,307.85,308.0,306.96,307.37,60270655.0 +5035,2019-11-05,307.59,307.9195,306.71,307.03,42809998.0 +5036,2019-11-06,307.03,307.4,306.06,307.1,46402927.0 +5037,2019-11-07,308.5758,309.65,307.66,308.18,53823043.0 +5038,2019-11-08,307.8,309.0036,307.03,308.94,49019213.0 +5039,2019-11-11,307.42,308.54,307.27,308.35,35775777.0 +5040,2019-11-12,308.75,309.99,308.15,309.0,46141997.0 +5041,2019-11-13,307.91,309.54,307.66,309.1,54261698.0 +5042,2019-11-14,308.79,309.64,308.09,309.55,51148052.0 +5043,2019-11-15,311.02,311.84,310.26,311.79,61990853.0 +5044,2019-11-18,311.53,312.28,311.03,312.02,49285964.0 +5045,2019-11-19,312.68,312.69,311.22,311.93,67663099.0 +5046,2019-11-20,311.28,311.85,309.06,310.77,79200298.0 +5047,2019-11-21,310.89,311.01,309.39,310.27,54403450.0 +5048,2019-11-22,311.09,311.24,309.85,310.96,44803329.0 +5049,2019-11-25,311.98,313.37,311.98,313.37,48606151.0 +5050,2019-11-26,313.41,314.28,313.06,314.08,37515200.0 +5051,2019-11-27,314.61,315.48,314.37,315.48,44260649.0 +5052,2019-11-29,314.86,315.13,314.06,314.31,36592740.0 +5053,2019-12-02,314.59,314.66,311.17,311.64,75719967.0 +5054,2019-12-03,308.65,309.64,307.13,309.55,74784721.0 +5055,2019-12-04,310.7,312.12,310.32,311.46,49007961.0 +5056,2019-12-05,312.23,312.25,310.58,312.02,40657041.0 +5057,2019-12-06,314.11,315.31,314.11,314.87,48926121.0 +5058,2019-12-09,314.44,315.18,313.8,313.88,34788380.0 +5059,2019-12-10,313.82,314.55,312.81,313.53,52609340.0 +5060,2019-12-11,314.03,314.7,313.5312,314.42,46889653.0 +5061,2019-12-12,314.43,317.99,314.17,317.13,96035635.0 +5062,2019-12-13,316.87,318.67,316.02,317.32,81489263.0 +5063,2019-12-16,319.18,320.15,317.2542,319.5,82723814.0 +5064,2019-12-17,319.92,320.25,319.48,319.57,61062693.0 +5065,2019-12-18,320.0,320.25,319.53,319.59,48721894.0 +5066,2019-12-19,319.7999,320.98,319.5246,320.9,85248597.0 +5067,2019-12-20,320.46,321.9742,319.3873,320.73,149214080.0 +5068,2019-12-23,321.59,321.65,321.06,321.22,52980805.0 +5069,2019-12-24,321.47,321.52,320.9,321.23,20270007.0 +5070,2019-12-26,321.65,322.95,321.64,322.94,30854382.0 +5071,2019-12-27,323.74,323.8,322.28,322.86,42523486.0 +5072,2019-12-30,322.95,323.1,320.55,321.08,49652827.0 +5073,2019-12-31,320.53,322.13,320.15,321.86,57059907.0 +5074,2020-01-02,323.54,324.89,322.53,324.87,59037072.0 +5075,2020-01-03,321.16,323.64,321.1,322.41,77708081.0 +5076,2020-01-06,320.49,323.73,320.36,323.64,55596982.0 +5077,2020-01-07,323.02,323.54,322.24,322.73,40461249.0 +5078,2020-01-08,322.94,325.78,322.67,324.45,68177241.0 +5079,2020-01-09,326.15,326.73,325.52,326.65,48421935.0 +5080,2020-01-10,327.2899,327.46,325.2,325.71,53028660.0 +5081,2020-01-13,326.39,327.96,325.92,327.95,47026115.0 +5082,2020-01-14,327.47,328.62,326.844,327.45,62784185.0 +5083,2020-01-15,327.35,329.02,327.26,328.19,71870739.0 +5084,2020-01-16,329.7,330.92,329.45,330.92,53788867.0 +5085,2020-01-17,331.7,332.18,330.8539,331.95,95778839.0 +5086,2020-01-21,330.9,332.18,330.82,331.3,77624157.0 +5087,2020-01-22,332.24,332.95,331.17,331.34,48705035.0 +5088,2020-01-23,330.63,332.1682,329.41,331.72,51828259.0 +5089,2020-01-24,332.44,332.53,327.36,328.77,87465785.0 +5090,2020-01-27,323.03,325.12,322.66,323.5,83797934.0 +5091,2020-01-28,325.06,327.85,323.6038,326.89,63519891.0 +5092,2020-01-29,328.38,328.63,326.4,326.62,53714641.0 +5093,2020-01-30,324.36,327.91,323.54,327.68,75184385.0 +5094,2020-01-31,327.0,327.17,320.73,321.73,113659402.0 +5095,2020-02-03,323.35,326.16,323.22,324.12,68931216.0 +5096,2020-02-04,328.07,330.01,327.72,329.06,61704740.0 +5097,2020-02-05,332.2701,333.09,330.67,332.86,64864742.0 +5098,2020-02-06,333.91,334.19,332.8,333.98,49982975.0 +5099,2020-02-07,332.82,333.9941,331.6,332.2,64074382.0 +5100,2020-02-10,331.23,334.75,331.19,334.68,41779456.0 +5101,2020-02-11,336.1697,337.02,334.684,335.26,54773045.0 +5102,2020-02-12,336.83,337.65,336.43,337.42,42844434.0 +5103,2020-02-13,335.8621,338.12,335.56,337.06,54038002.0 +5104,2020-02-14,337.51,337.73,336.2,337.6,64518123.0 +5105,2020-02-18,336.51,337.6677,335.21,336.73,57195407.0 +5106,2020-02-19,337.79,339.08,337.48,338.34,48587393.0 +5107,2020-02-20,337.7423,338.64,333.6817,336.95,73891268.0 +5108,2020-02-21,335.47,335.81,332.58,333.48,113656552.0 +5109,2020-02-24,323.14,333.5623,321.24,322.42,160991237.0 +5110,2020-02-25,323.94,324.61,311.69,312.65,217564684.0 +5111,2020-02-26,314.18,318.11,310.7,311.5,192818004.0 +5112,2020-02-27,305.46,311.5637,297.51,297.51,282544492.0 +5113,2020-02-28,288.7,297.892,285.54,296.26,384911854.0 +5114,2020-03-02,298.21,309.16,294.46,309.09,237377617.0 +5115,2020-03-03,309.5,313.84,297.57,300.24,298851919.0 +5116,2020-03-04,306.12,313.1,303.33,312.86,175893889.0 +5117,2020-03-05,304.98,308.47,300.01,302.46,185533970.0 +5118,2020-03-06,293.15,298.78,290.23,297.46,228315219.0 +5119,2020-03-09,275.3,284.19,273.45,274.23,305980554.0 +5120,2020-03-10,284.64,288.52,273.5,288.42,274894230.0 +5121,2020-03-11,280.7,281.94,270.88,274.36,254604444.0 +5122,2020-03-12,256.0,266.66,247.68,248.11,389612072.0 +5123,2020-03-13,263.09,271.4754,248.5237,269.32,326142197.0 +5124,2020-03-16,241.18,256.9,237.36,239.85,295019288.0 +5125,2020-03-17,245.04,256.17,237.07,252.8,260566279.0 +5126,2020-03-18,236.25,248.37,228.02,240.0,324845381.0 +5127,2020-03-19,239.25,247.38,232.22,240.51,288124389.0 +5128,2020-03-20,242.53,244.47,228.5,228.8,344276957.0 +5129,2020-03-23,228.19,229.6833,218.26,222.95,323100167.0 +5130,2020-03-24,234.42,244.1,233.8,243.15,233038623.0 +5131,2020-03-25,244.87,256.35,239.75,246.79,297989659.0 +5132,2020-03-26,249.52,262.8,249.05,261.2,256107410.0 +5133,2020-03-27,253.27,260.81,251.05,253.42,223871285.0 +5134,2020-03-30,255.7,262.43,253.53,261.65,171274407.0 +5135,2020-03-31,260.56,263.33,256.22,257.75,193290928.0 +5136,2020-04-01,247.98,257.6591,243.9,246.15,188373330.0 +5137,2020-04-02,245.19,252.68,244.59,251.83,176669824.0 +5138,2020-04-03,250.76,253.32,245.22,248.19,134538553.0 +5139,2020-04-06,257.84,267.0,248.1698,264.86,186692564.0 +5140,2020-04-07,274.21,275.03,264.89,265.13,199187791.0 +5141,2020-04-08,267.96,276.0,265.2542,274.03,152670223.0 +5142,2020-04-09,277.57,281.2,275.47,278.2,189948139.0 +5143,2020-04-13,277.14,277.51,271.41,275.66,114353986.0 +5144,2020-04-14,280.98,284.9,275.5106,283.79,133510280.0 +5145,2020-04-15,277.57,283.9407,275.46,277.76,121155983.0 +5146,2020-04-16,279.15,280.03,275.76,279.1,126144324.0 +5147,2020-04-17,285.38,287.3,282.4,286.64,146455688.0 +5148,2020-04-20,282.61,286.7912,281.35,281.59,99323028.0 +5149,2020-04-21,276.73,278.04,272.02,273.04,125772551.0 +5150,2020-04-22,278.35,281.0,276.91,279.1,92831657.0 +5151,2020-04-23,280.49,283.94,278.75,279.08,103685412.0 +5152,2020-04-24,280.73,283.7,278.5,282.97,85042563.0 +5153,2020-04-27,285.12,288.27,284.62,287.05,77516422.0 +5154,2020-04-28,291.02,291.4,285.4,285.73,104797847.0 +5155,2020-04-29,291.53,294.88,290.41,293.21,118066585.0 +5156,2020-04-30,291.71,293.3239,288.59,290.48,121537052.0 +5157,2020-05-01,285.31,290.6572,281.52,282.79,125045778.0 +5158,2020-05-04,280.74,283.9,279.13,283.57,80462952.0 +5159,2020-05-05,286.64,289.25,283.7134,286.19,79199214.0 +5160,2020-05-06,288.04,288.46,283.78,284.25,72980387.0 +5161,2020-05-07,287.75,289.78,287.13,287.68,74788296.0 +5162,2020-05-08,291.09,292.95,289.86,292.44,76446082.0 +5163,2020-05-11,290.34,294.0,289.88,292.5,78982891.0 +5164,2020-05-12,293.79,294.24,286.52,286.67,94484342.0 +5165,2020-05-13,286.06,287.19,278.965,281.6,144035915.0 +5166,2020-05-14,278.95,285.11,272.99,284.97,121473094.0 +5167,2020-05-15,282.37,286.33,281.34,286.28,111015834.0 +5168,2020-05-18,293.05,296.75,292.7,295.0,119719465.0 +5169,2020-05-19,294.35,296.205,291.95,291.97,94317356.0 +5170,2020-05-20,295.8,297.87,295.57,296.93,85279592.0 +5171,2020-05-21,296.79,297.67,293.6886,294.88,77863922.0 +5172,2020-05-22,294.55,295.63,293.22,295.44,63697627.0 +5173,2020-05-26,301.93,302.19,295.4646,299.08,88604807.0 +5174,2020-05-27,302.12,303.57,296.87,303.53,104086252.0 +5175,2020-05-28,304.65,306.84,302.24,302.97,90232213.0 +5176,2020-05-29,302.4519,304.96,299.47,304.32,119067393.0 +5177,2020-06-01,303.62,306.205,303.06,305.55,55696013.0 +5178,2020-06-02,306.55,308.13,305.1,308.08,73635043.0 +5179,2020-06-03,310.24,313.22,309.94,312.18,91750087.0 +5180,2020-06-04,311.11,313.0,309.08,311.36,75471787.0 +5181,2020-06-05,317.23,321.275,317.16,319.34,150302461.0 +5182,2020-06-08,320.22,323.41,319.63,323.2,73310274.0 +5183,2020-06-09,320.3,323.2849,319.36,320.79,77174695.0 +5184,2020-06-10,321.42,322.39,318.2209,319.0,93944722.0 +5185,2020-06-11,311.46,312.15,300.01,300.61,208285190.0 +5186,2020-06-12,308.24,309.08,298.6,304.21,194450402.0 +5187,2020-06-15,298.02,308.28,296.74,307.05,134968796.0 +5188,2020-06-16,315.48,315.64,307.67,312.96,137048347.0 +5189,2020-06-17,314.07,314.39,310.86,311.66,82814592.0 +5190,2020-06-18,310.005,312.3,309.51,311.78,80355844.0 +5191,2020-06-19,314.17,314.38,306.53,308.64,135211345.0 +5192,2020-06-22,307.99,311.05,306.75,310.62,74007212.0 +5193,2020-06-23,313.4801,314.5,311.6101,312.05,68066900.0 +5194,2020-06-24,309.84,310.51,302.1,304.09,132067392.0 +5195,2020-06-25,303.47,307.64,301.28,307.35,88966079.0 +5196,2020-06-26,306.16,306.39,299.42,300.05,127811745.0 +5197,2020-06-29,301.41,304.61,298.93,304.46,79773260.0 +5198,2020-06-30,303.99,310.2,303.82,308.36,112828251.0 +5199,2020-07-01,309.57,311.89,309.07,310.52,71910372.0 +5200,2020-07-02,314.24,315.7,311.51,312.23,69214995.0 +5201,2020-07-06,316.37,317.68,315.56,317.05,61149258.0 +5202,2020-07-07,315.38,317.52,313.37,313.78,82583406.0 +5203,2020-07-08,314.61,316.3,312.7,316.18,54202602.0 +5204,2020-07-09,316.84,317.1,310.68,314.38,83079092.0 +5205,2020-07-10,314.31,317.88,312.76,317.59,57454436.0 +5206,2020-07-13,320.13,322.71,314.13,314.84,102549097.0 +5207,2020-07-14,313.3,319.76,312.0,318.92,92791839.0 +5208,2020-07-15,322.41,323.04,319.27,321.85,86921534.0 +5209,2020-07-16,319.79,321.28,319.09,320.79,54433414.0 +5210,2020-07-17,321.88,322.57,319.74,321.72,64421802.0 +5211,2020-07-20,321.43,325.13,320.62,324.32,56150230.0 +5212,2020-07-21,326.45,326.93,323.94,325.01,57245315.0 +5213,2020-07-22,324.62,327.2,324.5,326.86,57792915.0 +5214,2020-07-23,326.47,327.23,321.48,322.96,75737989.0 +5215,2020-07-24,320.95,321.99,319.246,320.88,73766597.0 +5216,2020-07-27,321.63,323.41,320.775,323.22,48292970.0 +5217,2020-07-28,322.43,323.64,320.85,321.17,57494979.0 +5218,2020-07-29,322.12,325.73,322.075,325.12,48454159.0 +5219,2020-07-30,321.9,324.41,319.64,323.96,61861714.0 +5220,2020-07-31,325.9,326.63,321.33,326.52,85210755.0 +5221,2020-08-03,328.32,329.62,327.73,328.79,53077948.0 +5222,2020-08-04,327.86,330.06,327.86,330.06,41917893.0 +5223,2020-08-05,331.47,332.39,331.18,332.11,42866354.0 +5224,2020-08-06,331.4799,334.46,331.13,334.33,43679447.0 +5225,2020-08-07,333.28,334.88,332.3,334.57,57308270.0 +5226,2020-08-10,335.06,335.77,332.955,335.57,44282089.0 +5227,2020-08-11,336.85,337.54,332.01,332.8,69601087.0 +5228,2020-08-12,335.44,338.28,332.8377,337.44,53826128.0 +5229,2020-08-13,336.61,338.2514,335.83,336.83,41816146.0 +5230,2020-08-14,336.41,337.42,335.62,336.84,47260390.0 +5231,2020-08-17,337.94,338.34,336.8517,337.91,34496002.0 +5232,2020-08-18,338.34,339.1,336.61,338.64,38733908.0 +5233,2020-08-19,339.05,339.61,336.62,337.23,68054244.0 +5234,2020-08-20,335.36,338.8,335.22,338.28,42207826.0 +5235,2020-08-21,337.92,339.72,337.55,339.48,55106628.0 +5236,2020-08-24,342.12,343.0,339.4504,342.92,48588662.0 +5237,2020-08-25,343.53,344.21,342.27,344.12,38463381.0 +5238,2020-08-26,344.76,347.86,344.17,347.57,50790237.0 +5239,2020-08-27,348.51,349.9,346.53,348.33,58034142.0 +5240,2020-08-28,349.44,350.72,348.15,350.58,48588940.0 \ No newline at end of file diff --git a/examples/AIExample.ipynb b/examples/AIExample.ipynb index 9c7329c..ed9a939 100644 --- a/examples/AIExample.ipynb +++ b/examples/AIExample.ipynb @@ -45,7 +45,7 @@ "Numpy v1.18.3\n", "Pandas v1.1.0\n", "mplfinance v0.12.6a3\n", - "Pandas TA v0.2.02b\n" + "Pandas TA v0.1.72b0\n" ] } ], @@ -91,7 +91,7 @@ " # All Data: 0, Last Four Years: 0.25, Last Two Years: 0.5, This Year: 1, Last Half Year: 2, Last Quarter: 4\n", " yearly_divisor = {\"all\": 0, \"10y\": 0.1, \"5y\": 0.2, \"4y\": 0.25, \"3y\": 1./3, \"2y\": 0.5, \"1y\": 1, \"6mo\": 2, \"3mo\": 4}\n", " yd = yearly_divisor[tf] if tf in yearly_divisor.keys() else 0\n", - " return int(ta.TRADING_DAYS_PER_YEAR / yd) if yd > 0 else df.shape[0]" + " return int(ta.RATE[\"TRADING_DAYS_PER_YEAR\"] / yd) if yd > 0 else df.shape[0]" ] }, { @@ -112,13 +112,13 @@ "text": [ "[!] Loading All: SPY, QQQ, AAPL, TSLA\n", "[i] Loaded['D']: SPY_D.csv\n", - "[i] Runtime: 35.2548 ms (0.0353 s)\n", + "[i] Runtime: 829.8970 ms (0.8299 s)\n", "[i] Loaded['D']: QQQ_D.csv\n", - "[i] Runtime: 85.3897 ms (0.0854 s)\n", + "[i] Runtime: 899.8845 ms (0.8999 s)\n", "[i] Loaded['D']: AAPL_D.csv\n", - "[i] Runtime: 20.9833 ms (0.0210 s)\n", + "[i] Runtime: 813.8567 ms (0.8139 s)\n", "[i] Loaded['D']: TSLA_D.csv\n", - "[i] Runtime: 34.4865 ms (0.0345 s)\n" + "[i] Runtime: 832.0968 ms (0.8321 s)\n" ] } ], @@ -353,7 +353,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -396,7 +396,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 10, @@ -441,7 +441,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, diff --git a/examples/PandasTA_Strategy_Examples.ipynb b/examples/PandasTA_Strategy_Examples.ipynb index 6c50871..dee8cdd 100644 --- a/examples/PandasTA_Strategy_Examples.ipynb +++ b/examples/PandasTA_Strategy_Examples.ipynb @@ -85,7 +85,7 @@ "text": [ "name = All\n", "description = All the indicators with their default settings. Pandas TA default.\n", - "created = 09/05/2020, 10:14:58\n", + "created = 09/27/2020, 09:24:11\n", "ta = None\n" ] } @@ -116,7 +116,7 @@ "text": [ "name = Common Price and Volume SMAs\n", "description = Common Price SMAs: 10, 20, 50, 200 and Volume SMA: 20.\n", - "created = 09/05/2020, 10:14:58\n", + "created = 09/27/2020, 09:24:11\n", "ta = [{'kind': 'sma', 'length': 10}, {'kind': 'sma', 'length': 20}, {'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}, {'kind': 'sma', 'close': 'volume', 'length': 20, 'prefix': 'VOL'}]\n" ] } @@ -158,7 +158,7 @@ { "data": { "text/plain": [ - "Strategy(name='A', ta=[{'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}], description=None, created='09/05/2020, 10:14:58', last_run=None, run_time=None)" + "Strategy(name='A', ta=[{'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}], description=None, created='09/27/2020, 09:24:11')" ] }, "execution_count": 4, @@ -186,7 +186,7 @@ { "data": { "text/plain": [ - "Strategy(name='B', ta=[{'kind': 'ema', 'length': 8}, {'kind': 'ema', 'length': 21}, {'kind': 'log_return', 'cumulative': True}, {'kind': 'rsi'}, {'kind': 'supertrend'}], description=None, created='09/05/2020, 10:14:58', last_run=None, run_time=None)" + "Strategy(name='B', ta=[{'kind': 'ema', 'length': 8}, {'kind': 'ema', 'length': 21}, {'kind': 'log_return', 'cumulative': True}, {'kind': 'rsi'}, {'kind': 'supertrend'}], description=None, created='09/27/2020, 09:24:11')" ] }, "execution_count": 5, @@ -214,7 +214,7 @@ { "data": { "text/plain": [ - "Strategy(name='Runtime Failure', ta=[{'kind': 'percet_return'}], description=None, created='09/05/2020, 10:14:58', last_run=None, run_time=None)" + "Strategy(name='Runtime Failure', ta=[{'kind': 'percet_return'}], description=None, created='09/27/2020, 09:24:11')" ] }, "execution_count": 6, @@ -297,7 +297,7 @@ "metadata": {}, "outputs": [], "source": [ - "watch = Watchlist([\"SPY\", \"IWM\"], ds=AV)" + "watch = Watchlist([\"SPY\", \"IWM\"])" ] }, { @@ -315,7 +315,7 @@ { "data": { "text/plain": [ - "Watch(name='Watchlist: SPY, IWM', tickers[2]='SPY, IWM', tf='D', strategy[5]='Common Price and Volume SMAs')" + "Watch(name='Watch: SPY, IWM', tickers[2]='SPY, IWM', tf='D', strategy[5]='Common Price and Volume SMAs')" ] }, "execution_count": 9, @@ -348,20 +348,23 @@ "class Watchlist(builtins.object)\n", " | Watchlist(tickers: list, tf: str = None, name: str = None, strategy: pandas_ta.core.Strategy = None, ds: object = None, **kwargs)\n", " | \n", - " | Watchlist Class (** This is subject to change! **)\n", - " | ============================================================================\n", + " | # Watchlist Class (** This is subject to change! **)\n", " | A simple Class to load/download financial market data and automatically\n", - " | apply Technical Analysis indicators with a Pandas TA Strategy. Default\n", - " | Strategy: pandas_ta.AllStrategy.\n", + " | apply Technical Analysis indicators with a Pandas TA Strategy.\n", " | \n", - " | Requirements:\n", + " | Default Strategy: pandas_ta.CommonStrategy\n", + " | \n", + " | ## Package Support:\n", + " | ### Data Source (Default: AlphaVantage)\n", + " | - AlphaVantage (pip install alphaVantage-api).\n", + " | - Python Binance (pip install python-binance). # Future Support\n", + " | - Yahoo Finance (pip install yfinance). # Almost Supported\n", + " | \n", + " | # Technical Analysis:\n", " | - Pandas TA (pip install pandas_ta)\n", - " | - AlphaVantage (pip install alphaVantage-api) for the Default Data Source.\n", - " | To use another Data Source, update the load() method after AV.\n", " | \n", - " | Required Arguments:\n", - " | - tickers: A list of strings containing tickers. Example: ['SPY', 'AAPL']\n", - " | ============================================================================\n", + " | ## Required Arguments:\n", + " | - tickers: A list of strings containing tickers. Example: [\"SPY\", \"AAPL\"]\n", " | \n", " | Methods defined here:\n", " | \n", @@ -374,7 +377,7 @@ " | indicators(self, *args, **kwargs) -> \n", " | Returns the list of indicators that are available with Pandas Ta.\n", " | \n", - " | load(self, ticker: str = None, tf: str = None, index: str = 'date', drop: list = ['dividend', 'split_coefficient'], file_path: str = '.', **kwargs) -> pandas.core.frame.DataFrame\n", + " | load(self, ticker: str = None, tf: str = None, index: str = 'date', drop: list = ['dividend', 'split_coefficient'], **kwargs) -> pandas.core.frame.DataFrame\n", " | Loads or Downloads (if a local csv does not exist) the data from the\n", " | Data Source. When successful, it returns a Data Frame for the requested\n", " | ticker. If no tickers are given, it loads all the tickers.\n", @@ -437,11 +440,13 @@ "[i] Loaded['D']: SPY_D.csv\n", "[+] Strategy: Common Price and Volume SMAs\n", "[i] Indicator arguments: {'timed': False, 'append': True}\n", + "[i] Multiprocessing: 4 of 4 cores.\n", "[i] Total indicators: 5\n", "[i] Columns added: 5\n", - "[+] Downloading['D']: IWM\n", + "[i] Loaded['D']: IWM_D.csv\n", "[+] Strategy: Common Price and Volume SMAs\n", "[i] Indicator arguments: {'timed': False, 'append': True}\n", + "[i] Multiprocessing: 4 of 4 cores.\n", "[i] Total indicators: 5\n", "[i] Columns added: 5\n" ] @@ -470,11 +475,11 @@ " 1999-11-04 136.7500 137.3593 135.7656 136.5312 7907500.0 NaN \n", " 1999-11-05 138.6250 139.1093 136.7812 137.8750 7431500.0 NaN \n", " ... ... ... ... ... ... ... \n", - " 2020-08-24 342.1200 343.0000 339.4504 342.9200 48588662.0 337.837 \n", - " 2020-08-25 343.5300 344.2100 342.2700 344.1200 38463381.0 338.969 \n", - " 2020-08-26 344.7600 347.8600 344.1700 347.5700 50790237.0 339.982 \n", - " 2020-08-27 348.5100 349.9000 346.5300 348.3300 58034142.0 341.132 \n", - " 2020-08-28 349.4400 350.7200 348.1500 350.5800 48588940.0 342.506 \n", + " 2020-09-21 325.7000 327.1300 321.7300 326.9700 99450829.0 335.186 \n", + " 2020-09-22 328.5700 330.9000 325.8600 330.3000 63612107.0 334.895 \n", + " 2020-09-23 330.9000 331.2000 322.1000 322.6400 93112240.0 333.180 \n", + " 2020-09-24 321.2200 326.7970 319.8000 323.5000 76681332.0 332.141 \n", + " 2020-09-25 322.5800 329.5800 321.6400 328.7300 68610432.0 331.608 \n", " \n", " SMA_20 SMA_50 SMA_200 VOL_SMA_20 \n", " date \n", @@ -484,26 +489,26 @@ " 1999-11-04 NaN NaN NaN NaN \n", " 1999-11-05 NaN NaN NaN NaN \n", " ... ... ... ... ... \n", - " 2020-08-24 333.5285 322.2548 307.05540 51792231.45 \n", - " 2020-08-25 334.6760 322.9962 307.23510 50840651.55 \n", - " 2020-08-26 335.7985 323.6884 307.42825 50957455.45 \n", - " 2020-08-27 337.0170 324.4218 307.62815 50766076.85 \n", - " 2020-08-28 338.2200 325.1978 307.83605 48934986.10 \n", + " 2020-09-21 341.6475 334.0394 309.95180 80051929.15 \n", + " 2020-09-22 341.0165 334.3486 310.04320 80803101.40 \n", + " 2020-09-23 339.9425 334.4230 310.08205 83535544.35 \n", + " 2020-09-24 338.7390 334.4560 310.13015 84830099.10 \n", + " 2020-09-25 337.7590 334.6148 310.20615 85358913.60 \n", " \n", - " [5241 rows x 10 columns],\n", - " 'IWM': open high low close volume SMA_10 SMA_20 \\\n", + " [5260 rows x 10 columns],\n", + " 'IWM': open high low close volume SMA_10 SMA_20 \\\n", " date \n", - " 2000-05-26 91.06 91.44 90.630 91.44 37400.0 NaN NaN \n", - " 2000-05-30 92.75 94.81 92.750 94.81 28800.0 NaN NaN \n", - " 2000-05-31 95.13 96.38 95.130 95.75 18000.0 NaN NaN \n", - " 2000-06-01 97.11 97.31 97.110 97.31 3500.0 NaN NaN \n", - " 2000-06-02 101.70 102.40 101.700 102.40 14700.0 NaN NaN \n", - " ... ... ... ... ... ... ... ... \n", - " 2020-08-31 157.19 157.37 155.300 155.43 17051511.0 155.956 155.9205 \n", - " 2020-09-01 155.22 157.31 154.450 157.21 15654144.0 156.038 156.2415 \n", - " 2020-09-02 157.96 158.98 156.175 158.46 16763449.0 156.244 156.4750 \n", - " 2020-09-03 158.12 158.29 152.960 153.78 32117585.0 156.046 156.4775 \n", - " 2020-09-04 155.71 155.89 149.290 152.80 30618783.0 155.865 156.3090 \n", + " 2000-05-26 91.06 91.440 90.63 91.44 37400.0 NaN NaN \n", + " 2000-05-30 92.75 94.810 92.75 94.81 28800.0 NaN NaN \n", + " 2000-05-31 95.13 96.380 95.13 95.75 18000.0 NaN NaN \n", + " 2000-06-01 97.11 97.310 97.11 97.31 3500.0 NaN NaN \n", + " 2000-06-02 101.70 102.400 101.70 102.40 14700.0 NaN NaN \n", + " ... ... ... ... ... ... ... ... \n", + " 2020-09-21 149.82 150.255 146.33 147.92 40652521.0 151.746 153.8055 \n", + " 2020-09-22 148.65 149.300 146.56 149.06 19385790.0 151.666 153.4470 \n", + " 2020-09-23 148.41 149.430 143.98 144.07 33403387.0 150.860 152.8305 \n", + " 2020-09-24 144.04 146.530 142.09 144.07 31723749.0 150.252 152.2630 \n", + " 2020-09-25 143.44 146.850 143.35 146.41 20689266.0 149.978 151.7935 \n", " \n", " SMA_50 SMA_200 VOL_SMA_20 \n", " date \n", @@ -513,13 +518,13 @@ " 2000-06-01 NaN NaN NaN \n", " 2000-06-02 NaN NaN NaN \n", " ... ... ... ... \n", - " 2020-08-31 148.8200 145.82245 17493155.05 \n", - " 2020-09-01 149.1162 145.81800 17261612.35 \n", - " 2020-09-02 149.4254 145.81570 17173441.45 \n", - " 2020-09-03 149.7338 145.79200 17867433.35 \n", - " 2020-09-04 149.9808 145.76045 18374614.75 \n", + " 2020-09-21 152.0930 145.33285 21738963.00 \n", + " 2020-09-22 152.2838 145.27345 22022895.70 \n", + " 2020-09-23 152.3286 145.17970 22879582.20 \n", + " 2020-09-24 152.2694 145.08750 23777133.35 \n", + " 2020-09-25 152.2744 145.00650 23936178.00 \n", " \n", - " [5102 rows x 10 columns]}" + " [5116 rows x 10 columns]}" ] }, "execution_count": 12, @@ -669,73 +674,73 @@ " ...\n", " \n", " \n", - " 2020-08-24\n", - " 342.1200\n", - " 343.0000\n", - " 339.4504\n", - " 342.9200\n", - " 48588662.0\n", - " 337.837\n", - " 333.5285\n", - " 322.2548\n", - " 307.05540\n", - " 51792231.45\n", + " 2020-09-21\n", + " 325.7000\n", + " 327.1300\n", + " 321.7300\n", + " 326.9700\n", + " 99450829.0\n", + " 335.186\n", + " 341.6475\n", + " 334.0394\n", + " 309.95180\n", + " 80051929.15\n", " \n", " \n", - " 2020-08-25\n", - " 343.5300\n", - " 344.2100\n", - " 342.2700\n", - " 344.1200\n", - " 38463381.0\n", - " 338.969\n", - " 334.6760\n", - " 322.9962\n", - " 307.23510\n", - " 50840651.55\n", + " 2020-09-22\n", + " 328.5700\n", + " 330.9000\n", + " 325.8600\n", + " 330.3000\n", + " 63612107.0\n", + " 334.895\n", + " 341.0165\n", + " 334.3486\n", + " 310.04320\n", + " 80803101.40\n", " \n", " \n", - " 2020-08-26\n", - " 344.7600\n", - " 347.8600\n", - " 344.1700\n", - " 347.5700\n", - " 50790237.0\n", - " 339.982\n", - " 335.7985\n", - " 323.6884\n", - " 307.42825\n", - " 50957455.45\n", + " 2020-09-23\n", + " 330.9000\n", + " 331.2000\n", + " 322.1000\n", + " 322.6400\n", + " 93112240.0\n", + " 333.180\n", + " 339.9425\n", + " 334.4230\n", + " 310.08205\n", + " 83535544.35\n", " \n", " \n", - " 2020-08-27\n", - " 348.5100\n", - " 349.9000\n", - " 346.5300\n", - " 348.3300\n", - " 58034142.0\n", - " 341.132\n", - " 337.0170\n", - " 324.4218\n", - " 307.62815\n", - " 50766076.85\n", + " 2020-09-24\n", + " 321.2200\n", + " 326.7970\n", + " 319.8000\n", + " 323.5000\n", + " 76681332.0\n", + " 332.141\n", + " 338.7390\n", + " 334.4560\n", + " 310.13015\n", + " 84830099.10\n", " \n", " \n", - " 2020-08-28\n", - " 349.4400\n", - " 350.7200\n", - " 348.1500\n", - " 350.5800\n", - " 48588940.0\n", - " 342.506\n", - " 338.2200\n", - " 325.1978\n", - " 307.83605\n", - " 48934986.10\n", + " 2020-09-25\n", + " 322.5800\n", + " 329.5800\n", + " 321.6400\n", + " 328.7300\n", + " 68610432.0\n", + " 331.608\n", + " 337.7590\n", + " 334.6148\n", + " 310.20615\n", + " 85358913.60\n", " \n", " \n", "\n", - "

5241 rows × 10 columns

\n", + "

5260 rows × 10 columns

\n", "" ], "text/plain": [ @@ -747,11 +752,11 @@ "1999-11-04 136.7500 137.3593 135.7656 136.5312 7907500.0 NaN \n", "1999-11-05 138.6250 139.1093 136.7812 137.8750 7431500.0 NaN \n", "... ... ... ... ... ... ... \n", - "2020-08-24 342.1200 343.0000 339.4504 342.9200 48588662.0 337.837 \n", - "2020-08-25 343.5300 344.2100 342.2700 344.1200 38463381.0 338.969 \n", - "2020-08-26 344.7600 347.8600 344.1700 347.5700 50790237.0 339.982 \n", - "2020-08-27 348.5100 349.9000 346.5300 348.3300 58034142.0 341.132 \n", - "2020-08-28 349.4400 350.7200 348.1500 350.5800 48588940.0 342.506 \n", + "2020-09-21 325.7000 327.1300 321.7300 326.9700 99450829.0 335.186 \n", + "2020-09-22 328.5700 330.9000 325.8600 330.3000 63612107.0 334.895 \n", + "2020-09-23 330.9000 331.2000 322.1000 322.6400 93112240.0 333.180 \n", + "2020-09-24 321.2200 326.7970 319.8000 323.5000 76681332.0 332.141 \n", + "2020-09-25 322.5800 329.5800 321.6400 328.7300 68610432.0 331.608 \n", "\n", " SMA_20 SMA_50 SMA_200 VOL_SMA_20 \n", "date \n", @@ -761,13 +766,13 @@ "1999-11-04 NaN NaN NaN NaN \n", "1999-11-05 NaN NaN NaN NaN \n", "... ... ... ... ... \n", - "2020-08-24 333.5285 322.2548 307.05540 51792231.45 \n", - "2020-08-25 334.6760 322.9962 307.23510 50840651.55 \n", - "2020-08-26 335.7985 323.6884 307.42825 50957455.45 \n", - "2020-08-27 337.0170 324.4218 307.62815 50766076.85 \n", - "2020-08-28 338.2200 325.1978 307.83605 48934986.10 \n", + "2020-09-21 341.6475 334.0394 309.95180 80051929.15 \n", + "2020-09-22 341.0165 334.3486 310.04320 80803101.40 \n", + "2020-09-23 339.9425 334.4230 310.08205 83535544.35 \n", + "2020-09-24 338.7390 334.4560 310.13015 84830099.10 \n", + "2020-09-25 337.7590 334.6148 310.20615 85358913.60 \n", "\n", - "[5241 rows x 10 columns]" + "[5260 rows x 10 columns]" ] }, "execution_count": 13, @@ -776,7 +781,7 @@ } ], "source": [ - "watch.data['SPY']" + "watch.data[\"SPY\"]" ] }, { @@ -808,7 +813,7 @@ { "data": { "text/plain": [ - "Strategy(name='A', ta=[{'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}], description=None, created='09/05/2020, 10:14:58', last_run=None, run_time=None)" + "Strategy(name='A', ta=[{'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}], description=None, created='09/27/2020, 09:24:11')" ] }, "execution_count": 14, @@ -879,8 +884,8 @@ " \n", " 2000-05-26\n", " 91.06\n", - " 91.44\n", - " 90.630\n", + " 91.440\n", + " 90.63\n", " 91.44\n", " 37400.0\n", " NaN\n", @@ -889,8 +894,8 @@ " \n", " 2000-05-30\n", " 92.75\n", - " 94.81\n", - " 92.750\n", + " 94.810\n", + " 92.75\n", " 94.81\n", " 28800.0\n", " NaN\n", @@ -899,8 +904,8 @@ " \n", " 2000-05-31\n", " 95.13\n", - " 96.38\n", - " 95.130\n", + " 96.380\n", + " 95.13\n", " 95.75\n", " 18000.0\n", " NaN\n", @@ -909,8 +914,8 @@ " \n", " 2000-06-01\n", " 97.11\n", - " 97.31\n", - " 97.110\n", + " 97.310\n", + " 97.11\n", " 97.31\n", " 3500.0\n", " NaN\n", @@ -919,8 +924,8 @@ " \n", " 2000-06-02\n", " 101.70\n", - " 102.40\n", - " 101.700\n", + " 102.400\n", + " 101.70\n", " 102.40\n", " 14700.0\n", " NaN\n", @@ -937,76 +942,76 @@ " ...\n", " \n", " \n", - " 2020-08-31\n", - " 157.19\n", - " 157.37\n", - " 155.300\n", - " 155.43\n", - " 17051511.0\n", - " 148.8200\n", - " 145.82245\n", + " 2020-09-21\n", + " 149.82\n", + " 150.255\n", + " 146.33\n", + " 147.92\n", + " 40652521.0\n", + " 152.0930\n", + " 145.33285\n", " \n", " \n", - " 2020-09-01\n", - " 155.22\n", - " 157.31\n", - " 154.450\n", - " 157.21\n", - " 15654144.0\n", - " 149.1162\n", - " 145.81800\n", + " 2020-09-22\n", + " 148.65\n", + " 149.300\n", + " 146.56\n", + " 149.06\n", + " 19385790.0\n", + " 152.2838\n", + " 145.27345\n", " \n", " \n", - " 2020-09-02\n", - " 157.96\n", - " 158.98\n", - " 156.175\n", - " 158.46\n", - " 16763449.0\n", - " 149.4254\n", - " 145.81570\n", + " 2020-09-23\n", + " 148.41\n", + " 149.430\n", + " 143.98\n", + " 144.07\n", + " 33403387.0\n", + " 152.3286\n", + " 145.17970\n", " \n", " \n", - " 2020-09-03\n", - " 158.12\n", - " 158.29\n", - " 152.960\n", - " 153.78\n", - " 32117585.0\n", - " 149.7338\n", - " 145.79200\n", + " 2020-09-24\n", + " 144.04\n", + " 146.530\n", + " 142.09\n", + " 144.07\n", + " 31723749.0\n", + " 152.2694\n", + " 145.08750\n", " \n", " \n", - " 2020-09-04\n", - " 155.71\n", - " 155.89\n", - " 149.290\n", - " 152.80\n", - " 30618783.0\n", - " 149.9808\n", - " 145.76045\n", + " 2020-09-25\n", + " 143.44\n", + " 146.850\n", + " 143.35\n", + " 146.41\n", + " 20689266.0\n", + " 152.2744\n", + " 145.00650\n", " \n", " \n", "\n", - "

5102 rows × 7 columns

\n", + "

5116 rows × 7 columns

\n", "" ], "text/plain": [ - " open high low close volume SMA_50 SMA_200\n", + " open high low close volume SMA_50 SMA_200\n", "date \n", - "2000-05-26 91.06 91.44 90.630 91.44 37400.0 NaN NaN\n", - "2000-05-30 92.75 94.81 92.750 94.81 28800.0 NaN NaN\n", - "2000-05-31 95.13 96.38 95.130 95.75 18000.0 NaN NaN\n", - "2000-06-01 97.11 97.31 97.110 97.31 3500.0 NaN NaN\n", - "2000-06-02 101.70 102.40 101.700 102.40 14700.0 NaN NaN\n", - "... ... ... ... ... ... ... ...\n", - "2020-08-31 157.19 157.37 155.300 155.43 17051511.0 148.8200 145.82245\n", - "2020-09-01 155.22 157.31 154.450 157.21 15654144.0 149.1162 145.81800\n", - "2020-09-02 157.96 158.98 156.175 158.46 16763449.0 149.4254 145.81570\n", - "2020-09-03 158.12 158.29 152.960 153.78 32117585.0 149.7338 145.79200\n", - "2020-09-04 155.71 155.89 149.290 152.80 30618783.0 149.9808 145.76045\n", + "2000-05-26 91.06 91.440 90.63 91.44 37400.0 NaN NaN\n", + "2000-05-30 92.75 94.810 92.75 94.81 28800.0 NaN NaN\n", + "2000-05-31 95.13 96.380 95.13 95.75 18000.0 NaN NaN\n", + "2000-06-01 97.11 97.310 97.11 97.31 3500.0 NaN NaN\n", + "2000-06-02 101.70 102.400 101.70 102.40 14700.0 NaN NaN\n", + "... ... ... ... ... ... ... ...\n", + "2020-09-21 149.82 150.255 146.33 147.92 40652521.0 152.0930 145.33285\n", + "2020-09-22 148.65 149.300 146.56 149.06 19385790.0 152.2838 145.27345\n", + "2020-09-23 148.41 149.430 143.98 144.07 33403387.0 152.3286 145.17970\n", + "2020-09-24 144.04 146.530 142.09 144.07 31723749.0 152.2694 145.08750\n", + "2020-09-25 143.44 146.850 143.35 146.41 20689266.0 152.2744 145.00650\n", "\n", - "[5102 rows x 7 columns]" + "[5116 rows x 7 columns]" ] }, "execution_count": 15, @@ -1015,7 +1020,7 @@ } ], "source": [ - "watch.load('IWM')" + "watch.load(\"IWM\")" ] }, { @@ -1033,7 +1038,7 @@ { "data": { "text/plain": [ - "Strategy(name='B', ta=[{'kind': 'ema', 'length': 8}, {'kind': 'ema', 'length': 21}, {'kind': 'log_return', 'cumulative': True}, {'kind': 'rsi'}, {'kind': 'supertrend'}], description=None, created='09/05/2020, 10:14:58', last_run=None, run_time=None)" + "Strategy(name='B', ta=[{'kind': 'ema', 'length': 8}, {'kind': 'ema', 'length': 21}, {'kind': 'log_return', 'cumulative': True}, {'kind': 'rsi'}, {'kind': 'supertrend'}], description=None, created='09/27/2020, 09:24:11')" ] }, "execution_count": 16, @@ -1141,7 +1146,7 @@ " 0.000000\n", " 131.968750\n", " 1\n", - " 131.968750\n", + " 131.96875\n", " NaN\n", " \n", " \n", @@ -1157,7 +1162,7 @@ " 50.185503\n", " 131.968750\n", " 1\n", - " 131.968750\n", + " 131.96875\n", " NaN\n", " \n", " \n", @@ -1173,7 +1178,7 @@ " 69.153995\n", " 131.968750\n", " 1\n", - " 131.968750\n", + " 131.96875\n", " NaN\n", " \n", " \n", @@ -1189,7 +1194,7 @@ " 79.896816\n", " 131.968750\n", " 1\n", - " 131.968750\n", + " 131.96875\n", " NaN\n", " \n", " \n", @@ -1209,88 +1214,88 @@ " ...\n", " \n", " \n", - " 2020-08-24\n", - " 342.1200\n", - " 343.0000\n", - " 339.4504\n", - " 342.9200\n", - " 48588662.0\n", - " 338.577882\n", - " 333.520811\n", - " 0.928064\n", - " 72.830131\n", - " 331.974175\n", - " 1\n", - " 331.974175\n", + " 2020-09-21\n", + " 325.7000\n", + " 327.1300\n", + " 321.7300\n", + " 326.9700\n", + " 99450829.0\n", + " 334.624165\n", + " 337.581041\n", + " 0.880436\n", + " 38.586649\n", + " 344.903390\n", + " -1\n", " NaN\n", + " 344.903390\n", " \n", " \n", - " 2020-08-25\n", - " 343.5300\n", - " 344.2100\n", - " 342.2700\n", - " 344.1200\n", - " 38463381.0\n", - " 339.809464\n", - " 334.484374\n", - " 0.931558\n", - " 74.054445\n", - " 334.479122\n", - " 1\n", - " 334.479122\n", + " 2020-09-22\n", + " 328.5700\n", + " 330.9000\n", + " 325.8600\n", + " 330.3000\n", + " 63612107.0\n", + " 333.663239\n", + " 336.919128\n", + " 0.890569\n", + " 42.849311\n", + " 344.903390\n", + " -1\n", " NaN\n", + " 344.903390\n", " \n", " \n", - " 2020-08-26\n", - " 344.7600\n", - " 347.8600\n", - " 344.1700\n", - " 347.5700\n", - " 50790237.0\n", - " 341.534027\n", - " 335.673976\n", - " 0.941533\n", - " 77.231098\n", - " 336.902819\n", - " 1\n", - " 336.902819\n", + " 2020-09-23\n", + " 330.9000\n", + " 331.2000\n", + " 322.1000\n", + " 322.6400\n", + " 93112240.0\n", + " 331.213630\n", + " 335.621026\n", + " 0.867104\n", + " 36.562589\n", + " 344.903390\n", + " -1\n", " NaN\n", + " 344.903390\n", " \n", " \n", - " 2020-08-27\n", - " 348.5100\n", - " 349.9000\n", - " 346.5300\n", - " 348.3300\n", - " 58034142.0\n", - " 343.044243\n", - " 336.824524\n", - " 0.943718\n", - " 77.873776\n", - " 338.960273\n", - " 1\n", - " 338.960273\n", + " 2020-09-24\n", + " 321.2200\n", + " 326.7970\n", + " 319.8000\n", + " 323.5000\n", + " 76681332.0\n", + " 329.499490\n", + " 334.519114\n", + " 0.869766\n", + " 37.668306\n", + " 344.119874\n", + " -1\n", " NaN\n", + " 344.119874\n", " \n", " \n", - " 2020-08-28\n", - " 349.4400\n", - " 350.7200\n", - " 348.1500\n", - " 350.5800\n", - " 48588940.0\n", - " 344.718856\n", - " 338.075022\n", - " 0.950156\n", - " 79.700567\n", - " 340.400948\n", - " 1\n", - " 340.400948\n", + " 2020-09-25\n", + " 322.5800\n", + " 329.5800\n", + " 321.6400\n", + " 328.7300\n", + " 68610432.0\n", + " 329.328493\n", + " 333.992831\n", + " 0.885804\n", + " 44.054622\n", + " 344.119874\n", + " -1\n", " NaN\n", + " 344.119874\n", " \n", " \n", "\n", - "

5241 rows × 13 columns

\n", + "

5260 rows × 13 columns

\n", "" ], "text/plain": [ @@ -1302,11 +1307,11 @@ "1999-11-04 136.7500 137.3593 135.7656 136.5312 7907500.0 NaN \n", "1999-11-05 138.6250 139.1093 136.7812 137.8750 7431500.0 NaN \n", "... ... ... ... ... ... ... \n", - "2020-08-24 342.1200 343.0000 339.4504 342.9200 48588662.0 338.577882 \n", - "2020-08-25 343.5300 344.2100 342.2700 344.1200 38463381.0 339.809464 \n", - "2020-08-26 344.7600 347.8600 344.1700 347.5700 50790237.0 341.534027 \n", - "2020-08-27 348.5100 349.9000 346.5300 348.3300 58034142.0 343.044243 \n", - "2020-08-28 349.4400 350.7200 348.1500 350.5800 48588940.0 344.718856 \n", + "2020-09-21 325.7000 327.1300 321.7300 326.9700 99450829.0 334.624165 \n", + "2020-09-22 328.5700 330.9000 325.8600 330.3000 63612107.0 333.663239 \n", + "2020-09-23 330.9000 331.2000 322.1000 322.6400 93112240.0 331.213630 \n", + "2020-09-24 321.2200 326.7970 319.8000 323.5000 76681332.0 329.499490 \n", + "2020-09-25 322.5800 329.5800 321.6400 328.7300 68610432.0 329.328493 \n", "\n", " EMA_21 CUMLOGRET_1 RSI_14 SUPERT_7_3.0 SUPERTd_7_3.0 \\\n", "date \n", @@ -1316,27 +1321,27 @@ "1999-11-04 NaN 0.007120 69.153995 131.968750 1 \n", "1999-11-05 NaN 0.016915 79.896816 131.968750 1 \n", "... ... ... ... ... ... \n", - "2020-08-24 333.520811 0.928064 72.830131 331.974175 1 \n", - "2020-08-25 334.484374 0.931558 74.054445 334.479122 1 \n", - "2020-08-26 335.673976 0.941533 77.231098 336.902819 1 \n", - "2020-08-27 336.824524 0.943718 77.873776 338.960273 1 \n", - "2020-08-28 338.075022 0.950156 79.700567 340.400948 1 \n", + "2020-09-21 337.581041 0.880436 38.586649 344.903390 -1 \n", + "2020-09-22 336.919128 0.890569 42.849311 344.903390 -1 \n", + "2020-09-23 335.621026 0.867104 36.562589 344.903390 -1 \n", + "2020-09-24 334.519114 0.869766 37.668306 344.119874 -1 \n", + "2020-09-25 333.992831 0.885804 44.054622 344.119874 -1 \n", "\n", " SUPERTl_7_3.0 SUPERTs_7_3.0 \n", "date \n", "1999-11-01 NaN NaN \n", - "1999-11-02 131.968750 NaN \n", - "1999-11-03 131.968750 NaN \n", - "1999-11-04 131.968750 NaN \n", - "1999-11-05 131.968750 NaN \n", + "1999-11-02 131.96875 NaN \n", + "1999-11-03 131.96875 NaN \n", + "1999-11-04 131.96875 NaN \n", + "1999-11-05 131.96875 NaN \n", "... ... ... \n", - "2020-08-24 331.974175 NaN \n", - "2020-08-25 334.479122 NaN \n", - "2020-08-26 336.902819 NaN \n", - "2020-08-27 338.960273 NaN \n", - "2020-08-28 340.400948 NaN \n", + "2020-09-21 NaN 344.903390 \n", + "2020-09-22 NaN 344.903390 \n", + "2020-09-23 NaN 344.903390 \n", + "2020-09-24 NaN 344.119874 \n", + "2020-09-25 NaN 344.119874 \n", "\n", - "[5241 rows x 13 columns]" + "[5260 rows x 13 columns]" ] }, "execution_count": 17, @@ -1345,7 +1350,7 @@ } ], "source": [ - "watch.load('SPY')" + "watch.load(\"SPY\")" ] }, { @@ -1363,7 +1368,7 @@ { "data": { "text/plain": [ - "Strategy(name='Runtime Failure', ta=[{'kind': 'percet_return'}], description=None, created='09/05/2020, 10:14:58', last_run=None, run_time=None)" + "Strategy(name='Runtime Failure', ta=[{'kind': 'percet_return'}], description=None, created='09/27/2020, 09:24:11')" ] }, "execution_count": 18, @@ -1393,7 +1398,7 @@ ], "source": [ "try:\n", - " iwm = watch.load('IWM')\n", + " iwm = watch.load(\"IWM\")\n", "except AttributeError as error:\n", " print(f\"[X] Oops! {error}\")" ] @@ -1429,7 +1434,7 @@ { "data": { "text/plain": [ - "Strategy(name='Volume MAs and Price MA chain', ta=[{'kind': 'ema', 'close': 'volume', 'length': 10, 'prefix': 'VOLUME'}, {'kind': 'sma', 'close': 'volume', 'length': 20, 'prefix': 'VOLUME'}, {'kind': 'ema', 'length': 5}, {'kind': 'linreg', 'close': 'EMA_5', 'length': 8, 'prefix': 'EMA_5'}], description=None, created='09/05/2020, 10:14:58', last_run=None, run_time=None)" + "Strategy(name='Volume MAs and Price MA chain', ta=[{'kind': 'ema', 'close': 'volume', 'length': 10, 'prefix': 'VOLUME'}, {'kind': 'sma', 'close': 'volume', 'length': 20, 'prefix': 'VOLUME'}, {'kind': 'ema', 'length': 5}, {'kind': 'linreg', 'close': 'EMA_5', 'length': 8, 'prefix': 'EMA_5'}], description=None, created='09/27/2020, 09:24:11')" ] }, "execution_count": 20, @@ -1602,68 +1607,68 @@ " ...\n", " \n", " \n", - " 2020-08-24\n", - " 342.1200\n", - " 343.0000\n", - " 339.4504\n", - " 342.9200\n", - " 48588662.0\n", - " 4.999906e+07\n", - " 51792231.45\n", - " 339.779956\n", - " 338.589691\n", + " 2020-09-21\n", + " 325.7000\n", + " 327.1300\n", + " 321.7300\n", + " 326.9700\n", + " 99450829.0\n", + " 8.868160e+07\n", + " 80051929.15\n", + " 332.563993\n", + " 335.473066\n", " \n", " \n", - " 2020-08-25\n", - " 343.5300\n", - " 344.2100\n", - " 342.2700\n", - " 344.1200\n", - " 38463381.0\n", - " 4.790167e+07\n", - " 50840651.55\n", - " 341.226637\n", - " 339.658445\n", + " 2020-09-22\n", + " 328.5700\n", + " 330.9000\n", + " 325.8600\n", + " 330.3000\n", + " 63612107.0\n", + " 8.412351e+07\n", + " 80803101.40\n", + " 331.809328\n", + " 333.974346\n", " \n", " \n", - " 2020-08-26\n", - " 344.7600\n", - " 347.8600\n", - " 344.1700\n", - " 347.5700\n", - " 50790237.0\n", - " 4.842686e+07\n", - " 50957455.45\n", - " 343.341091\n", - " 341.152455\n", + " 2020-09-23\n", + " 330.9000\n", + " 331.2000\n", + " 322.1000\n", + " 322.6400\n", + " 93112240.0\n", + " 8.575783e+07\n", + " 83535544.35\n", + " 328.752886\n", + " 331.650953\n", " \n", " \n", - " 2020-08-27\n", - " 348.5100\n", - " 349.9000\n", - " 346.5300\n", - " 348.3300\n", - " 58034142.0\n", - " 5.017364e+07\n", - " 50766076.85\n", - " 345.004061\n", - " 342.852470\n", + " 2020-09-24\n", + " 321.2200\n", + " 326.7970\n", + " 319.8000\n", + " 323.5000\n", + " 76681332.0\n", + " 8.410756e+07\n", + " 84830099.10\n", + " 327.001924\n", + " 329.309445\n", " \n", " \n", - " 2020-08-28\n", - " 349.4400\n", - " 350.7200\n", - " 348.1500\n", - " 350.5800\n", - " 48588940.0\n", - " 4.988551e+07\n", - " 48934986.10\n", - " 346.862707\n", - " 344.767837\n", + " 2020-09-25\n", + " 322.5800\n", + " 329.5800\n", + " 321.6400\n", + " 328.7300\n", + " 68610432.0\n", + " 8.128990e+07\n", + " 85358913.60\n", + " 327.577949\n", + " 327.915225\n", " \n", " \n", "\n", - "

5241 rows × 9 columns

\n", + "

5260 rows × 9 columns

\n", "" ], "text/plain": [ @@ -1675,11 +1680,11 @@ "1999-11-04 136.7500 137.3593 135.7656 136.5312 7907500.0 NaN \n", "1999-11-05 138.6250 139.1093 136.7812 137.8750 7431500.0 NaN \n", "... ... ... ... ... ... ... \n", - "2020-08-24 342.1200 343.0000 339.4504 342.9200 48588662.0 4.999906e+07 \n", - "2020-08-25 343.5300 344.2100 342.2700 344.1200 38463381.0 4.790167e+07 \n", - "2020-08-26 344.7600 347.8600 344.1700 347.5700 50790237.0 4.842686e+07 \n", - "2020-08-27 348.5100 349.9000 346.5300 348.3300 58034142.0 5.017364e+07 \n", - "2020-08-28 349.4400 350.7200 348.1500 350.5800 48588940.0 4.988551e+07 \n", + "2020-09-21 325.7000 327.1300 321.7300 326.9700 99450829.0 8.868160e+07 \n", + "2020-09-22 328.5700 330.9000 325.8600 330.3000 63612107.0 8.412351e+07 \n", + "2020-09-23 330.9000 331.2000 322.1000 322.6400 93112240.0 8.575783e+07 \n", + "2020-09-24 321.2200 326.7970 319.8000 323.5000 76681332.0 8.410756e+07 \n", + "2020-09-25 322.5800 329.5800 321.6400 328.7300 68610432.0 8.128990e+07 \n", "\n", " VOLUME_SMA_20 EMA_5 EMA_5_LR_8 \n", "date \n", @@ -1689,13 +1694,13 @@ "1999-11-04 NaN NaN NaN \n", "1999-11-05 NaN 136.012480 NaN \n", "... ... ... ... \n", - "2020-08-24 51792231.45 339.779956 338.589691 \n", - "2020-08-25 50840651.55 341.226637 339.658445 \n", - "2020-08-26 50957455.45 343.341091 341.152455 \n", - "2020-08-27 50766076.85 345.004061 342.852470 \n", - "2020-08-28 48934986.10 346.862707 344.767837 \n", + "2020-09-21 80051929.15 332.563993 335.473066 \n", + "2020-09-22 80803101.40 331.809328 333.974346 \n", + "2020-09-23 83535544.35 328.752886 331.650953 \n", + "2020-09-24 84830099.10 327.001924 329.309445 \n", + "2020-09-25 85358913.60 327.577949 327.915225 \n", "\n", - "[5241 rows x 9 columns]" + "[5260 rows x 9 columns]" ] }, "execution_count": 22, @@ -1704,7 +1709,7 @@ } ], "source": [ - "spy = watch.load('SPY')\n", + "spy = watch.load(\"SPY\")\n", "spy" ] }, @@ -1730,7 +1735,7 @@ { "data": { "text/plain": [ - "Strategy(name='MACD BBands', ta=[{'kind': 'macd'}, {'kind': 'bbands', 'close': 'MACD_12_26_9', 'length': 20, 'prefix': 'MACD'}], description='BBANDS_20 applied to MACD', created='09/05/2020, 10:14:58', last_run=None, run_time=None)" + "Strategy(name='MACD BBands', ta=[{'kind': 'macd'}, {'kind': 'bbands', 'close': 'MACD_12_26_9', 'length': 20, 'prefix': 'MACD'}], description='BBANDS_20 applied to MACD', created='09/27/2020, 09:24:11')" ] }, "execution_count": 23, @@ -1917,78 +1922,78 @@ " ...\n", " \n", " \n", - " 2020-08-24\n", - " 342.1200\n", - " 343.0000\n", - " 339.4504\n", - " 342.9200\n", - " 48588662.0\n", - " 5.341674\n", - " 0.069881\n", - " 5.271794\n", - " 3.678022\n", - " 4.914752\n", - " 6.151482\n", + " 2020-09-21\n", + " 325.7000\n", + " 327.1300\n", + " 321.7300\n", + " 326.9700\n", + " 99450829.0\n", + " -0.892645\n", + " -2.268501\n", + " 1.375856\n", + " -1.306935\n", + " 3.942561\n", + " 9.192057\n", " \n", " \n", - " 2020-08-25\n", - " 343.5300\n", - " 344.2100\n", - " 342.2700\n", - " 344.1200\n", - " 38463381.0\n", - " 5.513019\n", - " 0.192980\n", - " 5.320039\n", - " 3.807707\n", - " 4.990945\n", - " 6.174183\n", + " 2020-09-22\n", + " 328.5700\n", + " 330.9000\n", + " 325.8600\n", + " 330.3000\n", + " 63612107.0\n", + " -1.311585\n", + " -2.149953\n", + " 0.838368\n", + " -2.090184\n", + " 3.609898\n", + " 9.309980\n", " \n", " \n", - " 2020-08-26\n", - " 344.7600\n", - " 347.8600\n", - " 344.1700\n", - " 347.5700\n", - " 50790237.0\n", - " 5.859651\n", - " 0.431690\n", - " 5.427961\n", - " 3.933776\n", - " 5.083307\n", - " 6.232838\n", + " 2020-09-23\n", + " 330.9000\n", + " 331.2000\n", + " 322.1000\n", + " 322.6400\n", + " 93112240.0\n", + " -2.235922\n", + " -2.459431\n", + " 0.223510\n", + " -2.965507\n", + " 3.222451\n", + " 9.410409\n", " \n", " \n", - " 2020-08-27\n", - " 348.5100\n", - " 349.9000\n", - " 346.5300\n", - " 348.3300\n", - " 58034142.0\n", - " 6.125079\n", - " 0.557694\n", - " 5.567385\n", - " 4.100036\n", - " 5.194943\n", - " 6.289851\n", + " 2020-09-24\n", + " 321.2200\n", + " 326.7970\n", + " 319.8000\n", + " 323.5000\n", + " 76681332.0\n", + " -2.866032\n", + " -2.471634\n", + " -0.394399\n", + " -3.834206\n", + " 2.786167\n", + " 9.406539\n", " \n", " \n", - " 2020-08-28\n", - " 349.4400\n", - " 350.7200\n", - " 348.1500\n", - " 350.5800\n", - " 48588940.0\n", - " 6.442721\n", - " 0.700269\n", - " 5.742452\n", - " 4.251657\n", - " 5.319172\n", - " 6.386687\n", + " 2020-09-25\n", + " 322.5800\n", + " 329.5800\n", + " 321.6400\n", + " 328.7300\n", + " 68610432.0\n", + " -2.909839\n", + " -2.012353\n", + " -0.897487\n", + " -4.554227\n", + " 2.334421\n", + " 9.223069\n", " \n", " \n", "\n", - "

5241 rows × 11 columns

\n", + "

5260 rows × 11 columns

\n", "" ], "text/plain": [ @@ -2000,11 +2005,11 @@ "1999-11-04 136.7500 137.3593 135.7656 136.5312 7907500.0 NaN \n", "1999-11-05 138.6250 139.1093 136.7812 137.8750 7431500.0 NaN \n", "... ... ... ... ... ... ... \n", - "2020-08-24 342.1200 343.0000 339.4504 342.9200 48588662.0 5.341674 \n", - "2020-08-25 343.5300 344.2100 342.2700 344.1200 38463381.0 5.513019 \n", - "2020-08-26 344.7600 347.8600 344.1700 347.5700 50790237.0 5.859651 \n", - "2020-08-27 348.5100 349.9000 346.5300 348.3300 58034142.0 6.125079 \n", - "2020-08-28 349.4400 350.7200 348.1500 350.5800 48588940.0 6.442721 \n", + "2020-09-21 325.7000 327.1300 321.7300 326.9700 99450829.0 -0.892645 \n", + "2020-09-22 328.5700 330.9000 325.8600 330.3000 63612107.0 -1.311585 \n", + "2020-09-23 330.9000 331.2000 322.1000 322.6400 93112240.0 -2.235922 \n", + "2020-09-24 321.2200 326.7970 319.8000 323.5000 76681332.0 -2.866032 \n", + "2020-09-25 322.5800 329.5800 321.6400 328.7300 68610432.0 -2.909839 \n", "\n", " MACDh_12_26_9 MACDs_12_26_9 MACD_BBL_20_2.0 MACD_BBM_20_2.0 \\\n", "date \n", @@ -2014,11 +2019,11 @@ "1999-11-04 NaN NaN NaN NaN \n", "1999-11-05 NaN NaN NaN NaN \n", "... ... ... ... ... \n", - "2020-08-24 0.069881 5.271794 3.678022 4.914752 \n", - "2020-08-25 0.192980 5.320039 3.807707 4.990945 \n", - "2020-08-26 0.431690 5.427961 3.933776 5.083307 \n", - "2020-08-27 0.557694 5.567385 4.100036 5.194943 \n", - "2020-08-28 0.700269 5.742452 4.251657 5.319172 \n", + "2020-09-21 -2.268501 1.375856 -1.306935 3.942561 \n", + "2020-09-22 -2.149953 0.838368 -2.090184 3.609898 \n", + "2020-09-23 -2.459431 0.223510 -2.965507 3.222451 \n", + "2020-09-24 -2.471634 -0.394399 -3.834206 2.786167 \n", + "2020-09-25 -2.012353 -0.897487 -4.554227 2.334421 \n", "\n", " MACD_BBU_20_2.0 \n", "date \n", @@ -2028,13 +2033,13 @@ "1999-11-04 NaN \n", "1999-11-05 NaN \n", "... ... \n", - "2020-08-24 6.151482 \n", - "2020-08-25 6.174183 \n", - "2020-08-26 6.232838 \n", - "2020-08-27 6.289851 \n", - "2020-08-28 6.386687 \n", + "2020-09-21 9.192057 \n", + "2020-09-22 9.309980 \n", + "2020-09-23 9.410409 \n", + "2020-09-24 9.406539 \n", + "2020-09-25 9.223069 \n", "\n", - "[5241 rows x 11 columns]" + "[5260 rows x 11 columns]" ] }, "execution_count": 25, @@ -2043,7 +2048,7 @@ } ], "source": [ - "spy = watch.load('SPY')\n", + "spy = watch.load(\"SPY\")\n", "spy" ] }, @@ -2076,7 +2081,7 @@ { "data": { "text/plain": [ - "Strategy(name='Momo, Bands and SMAs and Cumulative Log Returns', ta=[{'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}, {'kind': 'bbands', 'length': 20}, {'kind': 'macd'}, {'kind': 'rsi'}, {'kind': 'log_return', 'cumulative': True}, {'kind': 'sma', 'close': 'CUMLOGRET_1', 'length': 5, 'suffix': 'CUMLOGRET'}], description='MACD and RSI Momo with BBANDS and SMAs 50 & 200 and Cumulative Log Returns', created='09/05/2020, 10:14:58', last_run=None, run_time=None)" + "Strategy(name='Momo, Bands and SMAs and Cumulative Log Returns', ta=[{'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}, {'kind': 'bbands', 'length': 20}, {'kind': 'macd'}, {'kind': 'rsi'}, {'kind': 'log_return', 'cumulative': True}, {'kind': 'sma', 'close': 'CUMLOGRET_1', 'length': 5, 'suffix': 'CUMLOGRET'}], description='MACD and RSI Momo with BBANDS and SMAs 50 & 200 and Cumulative Log Returns', created='09/27/2020, 09:24:11')" ] }, "execution_count": 26, @@ -2134,7 +2139,7 @@ "output_type": "stream", "text": [ "[i] Loaded['D']: SPY_D.csv\n", - "[i] Runtime: 347.3075 ms (0.3473 s)\n" + "[i] Runtime: 1818.4281 ms (1.8184 s)\n" ] }, { @@ -2312,363 +2317,18 @@ " 30\n", " 70\n", " \n", - " \n", - " 1999-11-08\n", - " 137.0000\n", - " 138.3750\n", - " 136.7500\n", - " 138.0000\n", - " 4649200.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 80.574537\n", - " 0.017821\n", - " 0.006845\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-09\n", - " 138.5000\n", - " 138.6875\n", - " 136.2812\n", - " 136.7031\n", - " 4533700.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 58.528352\n", - " 0.008379\n", - " 0.009955\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-10\n", - " 136.2500\n", - " 138.3906\n", - " 136.0781\n", - " 137.7187\n", - " 6405600.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 66.303684\n", - " 0.015780\n", - " 0.013203\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-11\n", - " 138.1875\n", - " 138.5000\n", - " 137.4687\n", - " 138.5000\n", - " 4794100.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 70.833962\n", - " 0.021438\n", - " 0.016066\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-12\n", - " 139.2500\n", - " 139.9843\n", - " 137.1250\n", - " 139.7500\n", - " 11802900.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 76.319408\n", - " 0.030422\n", - " 0.018768\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-15\n", - " 139.8437\n", - " 140.2500\n", - " 139.4062\n", - " 140.0781\n", - " 2187500.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 77.514804\n", - " 0.032767\n", - " 0.021757\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-16\n", - " 140.5625\n", - " 143.0000\n", - " 140.0937\n", - " 141.2500\n", - " 7544800.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 81.170904\n", - " 0.041099\n", - " 0.028301\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-17\n", - " 142.2500\n", - " 142.9375\n", - " 141.3125\n", - " 141.6250\n", - " 9459000.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 82.169980\n", - " 0.043750\n", - " 0.033895\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-18\n", - " 142.4375\n", - " 143.0000\n", - " 141.6250\n", - " 142.6250\n", - " 4491000.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 84.527630\n", - " 0.050786\n", - " 0.039765\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-19\n", - " 142.4062\n", - " 142.9687\n", - " 142.0000\n", - " 142.5000\n", - " 4832100.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 83.049344\n", - " 0.049909\n", - " 0.043662\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-22\n", - " 142.4375\n", - " 143.0000\n", - " 141.5000\n", - " 142.4687\n", - " 4155400.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 82.659517\n", - " 0.049690\n", - " 0.047047\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-23\n", - " 142.8437\n", - " 142.8437\n", - " 140.3750\n", - " 141.2187\n", - " 5918000.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 68.775385\n", - " 0.040877\n", - " 0.047002\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-24\n", - " 140.7500\n", - " 142.4375\n", - " 140.0000\n", - " 141.9687\n", - " 4459700.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 71.832489\n", - " 0.046174\n", - " 0.047487\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-26\n", - " 142.4687\n", - " 142.8750\n", - " 141.2500\n", - " 141.4375\n", - " 1693900.0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 66.840920\n", - " 0.042425\n", - " 0.045815\n", - " 0\n", - " 30\n", - " 70\n", - " \n", - " \n", - " 1999-11-29\n", - " 140.8750\n", - " 141.9218\n", - " 140.4375\n", - " 140.9375\n", - " 7348600.0\n", - " NaN\n", - " NaN\n", - " 134.086598\n", - " 139.34217\n", - " 144.597742\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 62.442534\n", - " 0.038884\n", - " 0.043610\n", - " 0\n", - " 30\n", - " 70\n", - " \n", " \n", "\n", "" ], "text/plain": [ - " open high low close volume SMA_50 \\\n", - "date \n", - "1999-11-01 136.5000 137.0000 135.5625 135.5625 4006500.0 NaN \n", - "1999-11-02 135.9687 137.2500 134.5937 134.5937 6516900.0 NaN \n", - "1999-11-03 136.0000 136.3750 135.1250 135.5000 7222300.0 NaN \n", - "1999-11-04 136.7500 137.3593 135.7656 136.5312 7907500.0 NaN \n", - "1999-11-05 138.6250 139.1093 136.7812 137.8750 7431500.0 NaN \n", - "1999-11-08 137.0000 138.3750 136.7500 138.0000 4649200.0 NaN \n", - "1999-11-09 138.5000 138.6875 136.2812 136.7031 4533700.0 NaN \n", - "1999-11-10 136.2500 138.3906 136.0781 137.7187 6405600.0 NaN \n", - "1999-11-11 138.1875 138.5000 137.4687 138.5000 4794100.0 NaN \n", - "1999-11-12 139.2500 139.9843 137.1250 139.7500 11802900.0 NaN \n", - "1999-11-15 139.8437 140.2500 139.4062 140.0781 2187500.0 NaN \n", - "1999-11-16 140.5625 143.0000 140.0937 141.2500 7544800.0 NaN \n", - "1999-11-17 142.2500 142.9375 141.3125 141.6250 9459000.0 NaN \n", - "1999-11-18 142.4375 143.0000 141.6250 142.6250 4491000.0 NaN \n", - "1999-11-19 142.4062 142.9687 142.0000 142.5000 4832100.0 NaN \n", - "1999-11-22 142.4375 143.0000 141.5000 142.4687 4155400.0 NaN \n", - "1999-11-23 142.8437 142.8437 140.3750 141.2187 5918000.0 NaN \n", - "1999-11-24 140.7500 142.4375 140.0000 141.9687 4459700.0 NaN \n", - "1999-11-26 142.4687 142.8750 141.2500 141.4375 1693900.0 NaN \n", - "1999-11-29 140.8750 141.9218 140.4375 140.9375 7348600.0 NaN \n", + " open high low close volume SMA_50 \\\n", + "date \n", + "1999-11-01 136.5000 137.0000 135.5625 135.5625 4006500.0 NaN \n", + "1999-11-02 135.9687 137.2500 134.5937 134.5937 6516900.0 NaN \n", + "1999-11-03 136.0000 136.3750 135.1250 135.5000 7222300.0 NaN \n", + "1999-11-04 136.7500 137.3593 135.7656 136.5312 7907500.0 NaN \n", + "1999-11-05 138.6250 139.1093 136.7812 137.8750 7431500.0 NaN \n", "\n", " SMA_200 BBL_20_2.0 BBM_20_2.0 BBU_20_2.0 MACD_12_26_9 \\\n", "date \n", @@ -2677,21 +2337,6 @@ "1999-11-03 NaN NaN NaN NaN NaN \n", "1999-11-04 NaN NaN NaN NaN NaN \n", "1999-11-05 NaN NaN NaN NaN NaN \n", - "1999-11-08 NaN NaN NaN NaN NaN \n", - "1999-11-09 NaN NaN NaN NaN NaN \n", - "1999-11-10 NaN NaN NaN NaN NaN \n", - "1999-11-11 NaN NaN NaN NaN NaN \n", - "1999-11-12 NaN NaN NaN NaN NaN \n", - "1999-11-15 NaN NaN NaN NaN NaN \n", - "1999-11-16 NaN NaN NaN NaN NaN \n", - "1999-11-17 NaN NaN NaN NaN NaN \n", - "1999-11-18 NaN NaN NaN NaN NaN \n", - "1999-11-19 NaN NaN NaN NaN NaN \n", - "1999-11-22 NaN NaN NaN NaN NaN \n", - "1999-11-23 NaN NaN NaN NaN NaN \n", - "1999-11-24 NaN NaN NaN NaN NaN \n", - "1999-11-26 NaN NaN NaN NaN NaN \n", - "1999-11-29 NaN 134.086598 139.34217 144.597742 NaN \n", "\n", " MACDh_12_26_9 MACDs_12_26_9 RSI_14 CUMLOGRET_1 \\\n", "date \n", @@ -2700,21 +2345,6 @@ "1999-11-03 NaN NaN 50.185503 -0.000461 \n", "1999-11-04 NaN NaN 69.153995 0.007120 \n", "1999-11-05 NaN NaN 79.896816 0.016915 \n", - "1999-11-08 NaN NaN 80.574537 0.017821 \n", - "1999-11-09 NaN NaN 58.528352 0.008379 \n", - "1999-11-10 NaN NaN 66.303684 0.015780 \n", - "1999-11-11 NaN 0.0 70.833962 0.021438 \n", - "1999-11-12 NaN 0.0 76.319408 0.030422 \n", - "1999-11-15 NaN 0.0 77.514804 0.032767 \n", - "1999-11-16 NaN 0.0 81.170904 0.041099 \n", - "1999-11-17 NaN 0.0 82.169980 0.043750 \n", - "1999-11-18 NaN 0.0 84.527630 0.050786 \n", - "1999-11-19 NaN 0.0 83.049344 0.049909 \n", - "1999-11-22 NaN 0.0 82.659517 0.049690 \n", - "1999-11-23 NaN 0.0 68.775385 0.040877 \n", - "1999-11-24 NaN 0.0 71.832489 0.046174 \n", - "1999-11-26 NaN 0.0 66.840920 0.042425 \n", - "1999-11-29 NaN 0.0 62.442534 0.038884 \n", "\n", " SMA_5_CUMLOGRET 0 30 70 \n", "date \n", @@ -2722,22 +2352,7 @@ "1999-11-02 NaN 0 30 70 \n", "1999-11-03 NaN 0 30 70 \n", "1999-11-04 NaN 0 30 70 \n", - "1999-11-05 NaN 0 30 70 \n", - "1999-11-08 0.006845 0 30 70 \n", - "1999-11-09 0.009955 0 30 70 \n", - "1999-11-10 0.013203 0 30 70 \n", - "1999-11-11 0.016066 0 30 70 \n", - "1999-11-12 0.018768 0 30 70 \n", - "1999-11-15 0.021757 0 30 70 \n", - "1999-11-16 0.028301 0 30 70 \n", - "1999-11-17 0.033895 0 30 70 \n", - "1999-11-18 0.039765 0 30 70 \n", - "1999-11-19 0.043662 0 30 70 \n", - "1999-11-22 0.047047 0 30 70 \n", - "1999-11-23 0.047002 0 30 70 \n", - "1999-11-24 0.047487 0 30 70 \n", - "1999-11-26 0.045815 0 30 70 \n", - "1999-11-29 0.043610 0 30 70 " + "1999-11-05 NaN 0 30 70 " ] }, "execution_count": 28, @@ -2746,10 +2361,247 @@ } ], "source": [ - "spy = watch.load('SPY', timed=True)\n", + "spy = watch.load(\"SPY\", timed=True)\n", "# Apply constants to the DataFrame for indicators\n", "spy.ta.constants(True, [0, 30, 70])\n", - "spy.head(20)" + "spy.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Additional Strategy Options" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The ```params``` keyword takes a _tuple_ as a shorthand to the parameter arguments in order.\n", + "* **Note**: If the indicator arguments change, so will results. Breaking Changes will **always** be posted on the README.\n", + "\n", + "The ```col_numbers``` keyword takes a _tuple_ specifying which column to return if the result is a DataFrame." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Strategy(name='EMA, MACD History, Outter BBands, Log Returns', ta=[{'kind': 'ema', 'params': (10,)}, {'kind': 'macd', 'params': (9, 19, 10), 'col_numbers': (1,)}, {'kind': 'bbands', 'col_numbers': (0, 2), 'col_names': ('LB', 'UB')}, {'kind': 'log_return', 'params': (5, False)}], description='EMA, MACD History, BBands(LB, UB), and Log Returns Strategy', created='09/27/2020, 09:24:11')" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "params_ta = [\n", + " {\"kind\":\"ema\", \"params\": (10,)},\n", + " # params sets MACD's keyword arguments: fast=9, slow=19, signal=10\n", + " # and returning the 2nd column: histogram\n", + " {\"kind\":\"macd\", \"params\": (9, 19, 10), \"col_numbers\": (1,)},\n", + " # Selects the Lower and Upper Bands and renames them LB and UB, ignoring the MB\n", + " {\"kind\":\"bbands\", \"col_numbers\": (0,2), \"col_names\": (\"LB\", \"UB\")},\n", + " {\"kind\":\"log_return\", \"params\": (5, False)},\n", + "]\n", + "params_ta_strategy = ta.Strategy(\n", + " \"EMA, MACD History, Outter BBands, Log Returns\", # name\n", + " params_ta, # ta\n", + " \"EMA, MACD History, BBands(LB, UB), and Log Returns Strategy\" # description\n", + ")\n", + "params_ta_strategy" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'EMA, MACD History, Outter BBands, Log Returns'" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Update the Watchlist\n", + "watch.strategy = params_ta_strategy\n", + "watch.strategy.name" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[i] Loaded['D']: SPY_D.csv\n", + "[i] Runtime: 334.7583 ms (0.3348 s)\n" + ] + }, + { + "data": { + "text/html": [ + "
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openhighlowclosevolumeEMA_10MACDh_9_19_10LBUBLOGRET_5
date
2020-09-21325.70327.130321.73326.9799450829.0335.623943-2.280086323.348645345.631355-0.034537
2020-09-22328.57330.900325.86330.3063612107.0334.655954-2.066826323.032323341.999677-0.029444
2020-09-23330.90331.200322.10322.6493112240.0332.471235-2.419469319.513906339.046094-0.048932
2020-09-24321.22326.797319.80323.5076681332.0330.840101-2.375870319.375853334.248147-0.037436
2020-09-25322.58329.580321.64328.7368610432.0330.456446-1.735596319.831980333.024020-0.005824
\n", + "
" + ], + "text/plain": [ + " open high low close volume EMA_10 \\\n", + "date \n", + "2020-09-21 325.70 327.130 321.73 326.97 99450829.0 335.623943 \n", + "2020-09-22 328.57 330.900 325.86 330.30 63612107.0 334.655954 \n", + "2020-09-23 330.90 331.200 322.10 322.64 93112240.0 332.471235 \n", + "2020-09-24 321.22 326.797 319.80 323.50 76681332.0 330.840101 \n", + "2020-09-25 322.58 329.580 321.64 328.73 68610432.0 330.456446 \n", + "\n", + " MACDh_9_19_10 LB UB LOGRET_5 \n", + "date \n", + "2020-09-21 -2.280086 323.348645 345.631355 -0.034537 \n", + "2020-09-22 -2.066826 323.032323 341.999677 -0.029444 \n", + "2020-09-23 -2.419469 319.513906 339.046094 -0.048932 \n", + "2020-09-24 -2.375870 319.375853 334.248147 -0.037436 \n", + "2020-09-25 -1.735596 319.831980 333.024020 -0.005824 " + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "spy = watch.load(\"SPY\", timed=True)\n", + "spy.tail()" ] }, { diff --git a/examples/example.ipynb b/examples/example.ipynb index 868476c..b36a193 100644 --- a/examples/example.ipynb +++ b/examples/example.ipynb @@ -31,10 +31,11 @@ "import pandas as pd\n", "import mplfinance as mpf\n", "\n", + "from alphaVantageAPI.alphavantage import AlphaVantage\n", "import pandas_ta as ta\n", - "%pylab inline\n", "\n", - "from alphaVantageAPI.alphavantage import AlphaVantage # pip install alphaVantage-api\n", + "from watchlist import colors\n", + "%pylab inline\n", "\n", "e = pd.DataFrame()" ] @@ -55,10 +56,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Pandas TA - Technical Analysis Indicators - v0.1.99b\n", - "Total Indicators: 119\n", + "Pandas TA - Technical Analysis Indicators - v0.1.72b0\n", + "Total Indicators: 122\n", "Abbreviations:\n", - " aberration, above, above_value, accbands, ad, adosc, adx, amat, ao, aobv, apo, aroon, atr, bbands, below, below_value, bias, bop, brar, cci, cdl_doji, cg, chop, cksp, cmf, cmo, coppock, cross, cross_value, decreasing, dema, donchian, dpo, efi, ema, entropy, eom, er, eri, fisher, fwma, ha, hilo, hl2, hlc3, hma, ichimoku, increasing, inertia, kama, kc, kdj, kst, kurtosis, linear_decay, linreg, log_return, long_run, macd, mad, massi, median, mfi, midpoint, midprice, mom, natr, nvi, obv, ohlc4, pdist, percent_return, pgo, ppo, psar, psl, pvi, pvo, pvol, pvt, pwma, qstick, quantile, rma, roc, rsi, rvgi, rvi, short_run, sinwma, skew, slope, sma, smi, squeeze, stdev, stoch, supertrend, swma, t3, tema, trend_return, trima, trix, true_range, tsi, ttm_trend, ui, uo, variance, vortex, vp, vwap, vwma, wcp, willr, wma, zlma, zscore\n" + " aberration, above, above_value, accbands, ad, adosc, adx, amat, ao, aobv, apo, aroon, atr, bbands, below, below_value, bias, bop, brar, cci, cdl_doji, cdl_inside, cfo, cg, chop, cksp, cmf, cmo, coppock, cross, cross_value, decay, decreasing, dema, donchian, dpo, efi, ema, entropy, eom, er, eri, fisher, fwma, ha, hilo, hl2, hlc3, hma, ichimoku, increasing, inertia, kama, kc, kdj, kst, kurtosis, linreg, log_return, long_run, macd, mad, massi, median, mfi, midpoint, midprice, mom, natr, nvi, obv, ohlc4, pdist, percent_return, pgo, ppo, psar, psl, pvi, pvo, pvol, pvt, pwma, qstick, quantile, rma, roc, rsi, rvgi, rvi, short_run, sinwma, skew, slope, sma, smi, squeeze, stdev, stoch, stochrsi, supertrend, swma, t3, tema, trend_return, trima, trix, true_range, tsi, ttm_trend, ui, uo, variance, vortex, vp, vwap, vwma, wcp, willr, wma, zlma, zscore\n" ] } ], @@ -149,7 +150,15 @@ " return df\n", "\n", "def ctitle(indicator_name, ticker=\"SPY\", length=100):\n", - " return f\"{ticker}: {indicator_name} from {recent_startdate} to {recent_startdate} ({length})\"" + " return f\"{ticker}: {indicator_name} from {recent_startdate} to {recent_startdate} ({length})\"\n", + "\n", + "def ta_ylim(series: pd.Series, percent: float = 0.1):\n", + " smin, smax = series.min(), series.max()\n", + " if isinstance(percent, float) and 0 <= float(percent) <= 1:\n", + " y_min = (1 + percent) * smin if smin < 0 else (1 - percent) * smin\n", + " y_max = (1 - percent) * smax if smax < 0 else (1 + percent) * smax\n", + " return (y_min, y_max)\n", + " return (smin, smax)" ] }, { @@ -168,9 +177,15 @@ "price_size = (16, 8)\n", "ind_size = (16, 3.25)\n", "ticker = \"SPY\"\n", - "# All Data: 0, Last Four Years: 0.25, Last Two Years: 0.5, This Year: 1, Last Half Year: 2, Last Quarter: 3\n", - "yearly_divisor = 1\n", - "recent = int(ta.TRADING_DAYS_PER_YEAR / yearly_divisor) if yearly_divisor > 0 else df.shape[0]" + "# # All Data: 0, Last Four Years: 0.25, Last Two Years: 0.5, This Year: 1, Last Half Year: 2, Last Quarter: 3\n", + "# yearly_divisor = 1\n", + "# recent = int(ta.RATE[\"TRADING_DAYS_PER_YEAR\"] / yearly_divisor) if yearly_divisor > 0 else df.shape[0]\n", + "# print(recent)\n", + "def recent_bars(df, tf: str = \"1y\"):\n", + " # All Data: 0, Last Four Years: 0.25, Last Two Years: 0.5, This Year: 1, Last Half Year: 2, Last Quarter: 4\n", + " yearly_divisor = {\"all\": 0, \"10y\": 0.1, \"5y\": 0.2, \"4y\": 0.25, \"3y\": 1./3, \"2y\": 0.5, \"1y\": 1, \"6mo\": 2, \"3mo\": 4}\n", + " yd = yearly_divisor[tf] if tf in yearly_divisor.keys() else 0\n", + " return int(ta.RATE[\"TRADING_DAYS_PER_YEAR\"] / yd) if yd > 0 else df.shape[0]" ] }, { @@ -189,26 +204,26 @@ "name": "stdout", "output_type": "stream", "text": [ - "SPY(5246, 7) from 1999-11-01 00:00:00 to 2020-09-04 00:00:00\n", + "SPY(5260, 6) from 1999-11-01 00:00:00 to 2020-09-25 00:00:00\n", " open high low close adj_close \\\n", - "count 5246.000000 5246.000000 5246.000000 5246.000000 5246.000000 \n", - "mean 162.402863 163.362961 161.334124 162.401883 138.459169 \n", - "std 63.349421 63.536577 63.139261 63.366684 70.889980 \n", - "min 67.950000 70.000000 67.100000 68.110000 53.914200 \n", - "25% 116.500000 117.370000 115.565000 116.532500 87.502175 \n", - "50% 138.290000 139.290600 137.214350 138.165000 106.398000 \n", - "75% 204.697500 205.972500 203.897500 204.857700 185.105500 \n", - "max 355.870000 358.750000 353.430000 357.700000 357.700000 \n", + "count 5260.000000 5260.000000 5260.000000 5260.000000 5260.000000 \n", + "mean 162.855008 163.818126 161.791343 162.854531 138.415896 \n", + "std 63.881042 64.077112 63.643854 63.888599 71.216117 \n", + "min 67.950000 70.000000 67.100000 68.110000 53.696800 \n", + "25% 116.500000 117.415000 115.602500 116.557500 87.158050 \n", + "50% 138.448750 139.413100 137.329050 138.255000 106.140900 \n", + "75% 205.025000 206.260000 204.150000 205.212500 184.708225 \n", + "max 355.870000 358.750000 353.430000 357.700000 356.257100 \n", "\n", " volume \n", - "count 5.246000e+03 \n", - "mean 1.112121e+08 \n", - "std 9.804044e+07 \n", - "min 6.790000e+04 \n", - "25% 4.757725e+07 \n", - "50% 8.215981e+07 \n", - "75% 1.491426e+08 \n", - "max 8.708580e+08 \n" + "count 5.260000e+03 \n", + "mean 1.112009e+08 \n", + "std 9.790351e+07 \n", + "min 1.708170e+05 \n", + "25% 4.766909e+07 \n", + "50% 8.223804e+07 \n", + "75% 1.485869e+08 \n", + "max 8.710263e+08 \n" ] }, { @@ -232,7 +247,6 @@ " \n", " \n", " \n", - " date\n", " open\n", " high\n", " low\n", @@ -248,58 +262,52 @@ " \n", " \n", " \n", - " \n", " \n", " \n", " \n", " \n", " 1999-11-01\n", - " 1999-11-01\n", " 136.5000\n", " 137.0000\n", " 135.5625\n", " 135.5625\n", - " 91.9725\n", + " 91.5996\n", " 4006500.0\n", " \n", " \n", " 1999-11-02\n", - " 1999-11-02\n", " 135.9687\n", " 137.2500\n", " 134.5937\n", " 134.5937\n", - " 91.3152\n", + " 90.9450\n", " 6516900.0\n", " \n", " \n", " 1999-11-03\n", - " 1999-11-03\n", " 136.0000\n", " 136.3750\n", " 135.1250\n", " 135.5000\n", - " 91.9301\n", + " 91.5574\n", " 7222300.0\n", " \n", " \n", " 1999-11-04\n", - " 1999-11-04\n", " 136.7500\n", " 137.3593\n", " 135.7656\n", " 136.5312\n", - " 92.6297\n", + " 92.2542\n", " 7907500.0\n", " \n", " \n", " 1999-11-05\n", - " 1999-11-05\n", " 138.6250\n", " 139.1093\n", " 136.7812\n", " 137.8750\n", - " 93.5414\n", + " 93.1622\n", " 7431500.0\n", " \n", " \n", @@ -307,21 +315,13 @@ "" ], "text/plain": [ - " date open high low close adj_close \\\n", - "date \n", - "1999-11-01 1999-11-01 136.5000 137.0000 135.5625 135.5625 91.9725 \n", - "1999-11-02 1999-11-02 135.9687 137.2500 134.5937 134.5937 91.3152 \n", - "1999-11-03 1999-11-03 136.0000 136.3750 135.1250 135.5000 91.9301 \n", - "1999-11-04 1999-11-04 136.7500 137.3593 135.7656 136.5312 92.6297 \n", - "1999-11-05 1999-11-05 138.6250 139.1093 136.7812 137.8750 93.5414 \n", - "\n", - " volume \n", - "date \n", - "1999-11-01 4006500.0 \n", - "1999-11-02 6516900.0 \n", - "1999-11-03 7222300.0 \n", - "1999-11-04 7907500.0 \n", - "1999-11-05 7431500.0 " + " open high low close adj_close volume\n", + "date \n", + "1999-11-01 136.5000 137.0000 135.5625 135.5625 91.5996 4006500.0\n", + "1999-11-02 135.9687 137.2500 134.5937 134.5937 90.9450 6516900.0\n", + "1999-11-03 136.0000 136.3750 135.1250 135.5000 91.5574 7222300.0\n", + "1999-11-04 136.7500 137.3593 135.7656 136.5312 92.2542 7907500.0\n", + "1999-11-05 138.6250 139.1093 136.7812 137.8750 93.1622 7431500.0" ] }, "execution_count": 6, @@ -345,26 +345,26 @@ "name": "stdout", "output_type": "stream", "text": [ - "SPY(252, 7) from 2019-09-09 00:00:00 to 2020-09-04 00:00:00\n", + "SPY(252, 6) from 2019-09-27 00:00:00 to 2020-09-25 00:00:00\n", " open high low close adj_close \\\n", - "count 5246.000000 5246.000000 5246.000000 5246.000000 5246.000000 \n", - "mean 162.402863 163.362961 161.334124 162.401883 138.459169 \n", - "std 63.349421 63.536577 63.139261 63.366684 70.889980 \n", - "min 67.950000 70.000000 67.100000 68.110000 53.914200 \n", - "25% 116.500000 117.370000 115.565000 116.532500 87.502175 \n", - "50% 138.290000 139.290600 137.214350 138.165000 106.398000 \n", - "75% 204.697500 205.972500 203.897500 204.857700 185.105500 \n", - "max 355.870000 358.750000 353.430000 357.700000 357.700000 \n", + "count 5260.000000 5260.000000 5260.000000 5260.000000 5260.000000 \n", + "mean 162.855008 163.818126 161.791343 162.854531 138.415896 \n", + "std 63.881042 64.077112 63.643854 63.888599 71.216117 \n", + "min 67.950000 70.000000 67.100000 68.110000 53.696800 \n", + "25% 116.500000 117.415000 115.602500 116.557500 87.158050 \n", + "50% 138.448750 139.413100 137.329050 138.255000 106.140900 \n", + "75% 205.025000 206.260000 204.150000 205.212500 184.708225 \n", + "max 355.870000 358.750000 353.430000 357.700000 356.257100 \n", "\n", " volume \n", - "count 5.246000e+03 \n", - "mean 1.112121e+08 \n", - "std 9.804044e+07 \n", - "min 6.790000e+04 \n", - "25% 4.757725e+07 \n", - "50% 8.215981e+07 \n", - "75% 1.491426e+08 \n", - "max 8.708580e+08 \n" + "count 5.260000e+03 \n", + "mean 1.112009e+08 \n", + "std 9.790351e+07 \n", + "min 1.708170e+05 \n", + "25% 4.766909e+07 \n", + "50% 8.223804e+07 \n", + "75% 1.485869e+08 \n", + "max 8.710263e+08 \n" ] }, { @@ -388,7 +388,6 @@ " \n", " \n", " \n", - " date\n", " open\n", " high\n", " low\n", @@ -404,72 +403,66 @@ " \n", " \n", " \n", - " \n", " \n", " \n", " \n", " \n", - " 2019-09-09\n", - " 2019-09-09\n", - " 299.14\n", - " 299.24\n", - " 297.16\n", - " 298.20\n", - " 292.2800\n", - " 51086154.0\n", + " 2019-09-27\n", + " 297.83\n", + " 297.95\n", + " 293.69\n", + " 295.40\n", + " 289.7052\n", + " 84755721.0\n", " \n", " \n", - " 2019-09-10\n", - " 2019-09-10\n", - " 297.36\n", - " 298.20\n", + " 2019-09-30\n", " 295.97\n", - " 298.13\n", - " 292.2114\n", - " 57698673.0\n", + " 297.55\n", + " 295.92\n", + " 296.77\n", + " 291.0488\n", + " 52438861.0\n", " \n", " \n", - " 2019-09-11\n", - " 2019-09-11\n", - " 298.47\n", - " 300.34\n", - " 297.75\n", - " 300.25\n", - " 294.2893\n", - " 68008165.0\n", + " 2019-10-01\n", + " 297.74\n", + " 298.46\n", + " 293.00\n", + " 293.24\n", + " 287.5869\n", + " 89425082.0\n", " \n", " \n", - " 2019-09-12\n", - " 2019-09-12\n", - " 301.25\n", - " 302.46\n", - " 300.41\n", - " 301.29\n", - " 295.3086\n", - " 72546530.0\n", + " 2019-10-02\n", + " 291.50\n", + " 291.51\n", + " 286.64\n", + " 288.06\n", + " 282.5067\n", + " 124208927.0\n", " \n", " \n", - " 2019-09-13\n", - " 2019-09-13\n", - " 301.78\n", - " 302.17\n", - " 300.68\n", - " 301.09\n", - " 295.1126\n", - " 62053458.0\n", + " 2019-10-03\n", + " 287.81\n", + " 290.45\n", + " 284.82\n", + " 290.42\n", + " 284.8212\n", + " 85718095.0\n", " \n", " \n", "\n", "" ], "text/plain": [ - " date open high low close adj_close volume\n", - "date \n", - "2019-09-09 2019-09-09 299.14 299.24 297.16 298.20 292.2800 51086154.0\n", - "2019-09-10 2019-09-10 297.36 298.20 295.97 298.13 292.2114 57698673.0\n", - "2019-09-11 2019-09-11 298.47 300.34 297.75 300.25 294.2893 68008165.0\n", - "2019-09-12 2019-09-12 301.25 302.46 300.41 301.29 295.3086 72546530.0\n", - "2019-09-13 2019-09-13 301.78 302.17 300.68 301.09 295.1126 62053458.0" + " open high low close adj_close volume\n", + "date \n", + "2019-09-27 297.83 297.95 293.69 295.40 289.7052 84755721.0\n", + "2019-09-30 295.97 297.55 295.92 296.77 291.0488 52438861.0\n", + "2019-10-01 297.74 298.46 293.00 293.24 287.5869 89425082.0\n", + "2019-10-02 291.50 291.51 286.64 288.06 282.5067 124208927.0\n", + "2019-10-03 287.81 290.45 284.82 290.42 284.8212 85718095.0" ] }, "execution_count": 7, @@ -479,10 +472,10 @@ ], "source": [ "# Recent Data\n", - "recent_startdate = df.tail(recent).index[0]\n", - "recent_enddate = df.tail(recent).index[-1]\n", - "print(f\"{df.name}{df.tail(recent).shape} from {recent_startdate} to {recent_enddate}\\n{df.describe()}\")\n", - "df.tail(recent).head()" + "recent_startdate = df.tail(recent_bars(df)).index[0]\n", + "recent_enddate = df.tail(recent_bars(df)).index[-1]\n", + "print(f\"{df.name}{df.tail(recent_bars(df)).shape} from {recent_startdate} to {recent_enddate}\\n{df.describe()}\")\n", + "df.tail(recent_bars(df)).head()" ] }, { @@ -519,7 +512,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Columns: date, open, high, low, close, adj_close, volume, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -100, -90, -80, -70, -50, -30, -20, -10, 10, 20, 30, 50, 70, 80, 90, 100\n" + "Columns: open, high, low, close, adj_close, volume, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -100, -90, -80, -70, -50, -30, -20, -10, 10, 20, 30, 50, 70, 80, 90, 100\n" ] } ], @@ -535,35 +528,15 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Price & Volume Charts with Moving Averages" + "## Misc" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], - "source": [ - "def cscheme(colors: str):\n", - " aliases = {\n", - " \"BkBu\": [\"black\", \"blue\"],\n", - " \"gr\": [\"green\", \"red\"],\n", - " \"grays\": [\"silver\", \"gray\"],\n", - " \"mas\": [\"black\", \"green\", \"orange\", \"red\"],\n", - " \"bbands\": [\"blue\", \"navy\", \"blue\"],\n", - " \"kc\": [\"purple\", \"fuchsia\", \"purple\"],\n", - " }\n", - " aliases[\"default\"] = aliases[\"gr\"]\n", - " return aliases[colors]\n", - "\n", - "def ta_ylim(series: pd.Series, percent: float = 0.1):\n", - " smin, smax = series.min(), series.max()\n", - " if isinstance(percent, float) and 0 <= float(percent) <= 1:\n", - " y_min = (1 + percent) * smin if smin < 0 else (1 - percent) * smin\n", - " y_max = (1 - percent) * smax if smax < 0 else (1 + percent) * smax\n", - " return (y_min, y_max)\n", - " return (smin, smax)" - ] + "source": [] }, { "cell_type": "markdown", @@ -574,7 +547,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -612,7 +585,7 @@ " def _validate_chart_kwargs(self, **kwargs):\n", " \"\"\"Chart Settings\"\"\"\n", " self.config = {}\n", - " self.config[\"last\"] = kwargs.pop(\"last\", recent)\n", + " self.config[\"last\"] = kwargs.pop(\"last\", recent_bars(self.df))\n", " self.config[\"rpad\"] = kwargs.pop(\"rpad\", 10)\n", " self.config[\"title\"] = kwargs.pop(\"title\", \"Asset\")\n", " self.config[\"volume\"] = kwargs.pop(\"volume\", True)\n", @@ -938,23 +911,24 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[i] Loaded SPY(5246, 34)\n", + "[i] Loaded SPY(5260, 33)\n", "[+] Strategy: Common Price and Volume SMAs\n", "[i] Indicator arguments: {'append': True}\n", + "[i] Multiprocessing: 4 of 4 cores.\n", "[i] Total indicators: 5\n", "[i] Columns added: 5\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -962,6 +936,16 @@ "metadata": {}, "output_type": "display_data" }, + { + "data": { + "text/plain": [ + "<__main__.Chart at 0x111c9f340>" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, { "name": "stdout", "output_type": "stream", @@ -969,20 +953,10 @@ "\n", "Pandas v: 1.1.0 [pip install pandas] https://github.com/pandas-dev/pandas\n", "Data from AlphaVantage v: 1.0.19 [pip install alphaVantage-api] http://www.alphavantage.co https://github.com/twopirllc/AlphaVantageAPI\n", - "Technical Analysis with Pandas TA v: 0.1.99b [pip install pandas_ta] https://github.com/twopirllc/pandas-ta\n", + "Technical Analysis with Pandas TA v: 0.1.72b0 [pip install pandas_ta] https://github.com/twopirllc/pandas-ta\n", "Charts by Matplotlib Finance v: 0.12.6a3 [pip install mplfinance] https://github.com/matplotlib/mplfinance\n", "\n" ] - }, - { - "data": { - "text/plain": [ - "<__main__.Chart at 0x1107d1d00>" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ @@ -993,7 +967,7 @@ "Chart(df,\n", " # style: which mplfinance chart style to use. Added \"random\" as an option.\n", " # rpad: how many bars to leave empty on the right of the chart\n", - " style=\"yahoo\", title=ticker, last=recent, rpad=10,\n", + " style=\"yahoo\", title=ticker, last=recent_bars(df), rpad=10,\n", " \n", " # Overlap Indicators\n", " linreg=True, midpoint=False, ohlc4=False, archermas=True,\n", @@ -1040,22 +1014,22 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 13, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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" ] @@ -1068,8 +1042,8 @@ "clr_ma_length = 8\n", "clrdf = df.ta.log_return(cumulative=True, append=True)\n", "clrmadf = ta.ema(clrdf, length=clr_ma_length)\n", - "qqdf = pd.DataFrame({f\"{clrdf.name}\": clrdf, f\"{clrmadf.name}({clrdf.name})\": clrmadf})\n", - "qqdf.tail(recent).plot(figsize=ind_size, color=cscheme(\"BkBu\"), linewidth=1, title=ctitle(clrdf.name, ticker=ticker, length=recent), grid=True)" + "clrxdf = pd.DataFrame({f\"{clrdf.name}\": clrdf, f\"{clrmadf.name}({clrdf.name})\": clrmadf})\n", + "clrxdf.tail(recent_bars(df)).plot(figsize=ind_size, color=colors(\"BkBl\"), linewidth=1, title=ctitle(clrdf.name, ticker=ticker, length=recent_bars(df)), grid=True)" ] }, { @@ -1081,22 +1055,22 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 14, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1107,8 +1081,8 @@ ], "source": [ "macddf = df.ta.macd(fast=8, slow=21, signal=9, min_periods=None, append=True)\n", - "macddf[[macddf.columns[0], macddf.columns[2]]].tail(recent).plot(figsize=(16, 2), color=cscheme(\"BkBu\"), linewidth=1.3)\n", - "macddf[macddf.columns[1]].tail(recent).plot.area(figsize=ind_size, stacked=False, color=[\"silver\"], linewidth=1, title=ctitle(macddf.name, ticker=ticker, length=recent), grid=True).axhline(y=0, color=\"black\", lw=1.1)" + "macddf[[macddf.columns[0], macddf.columns[2]]].tail(recent_bars(df)).plot(figsize=(16, 2), color=colors(\"BkBl\"), linewidth=1.3)\n", + "macddf[macddf.columns[1]].tail(recent_bars(df)).plot.area(figsize=ind_size, stacked=False, color=[\"silver\"], linewidth=1, title=ctitle(macddf.name, ticker=ticker, length=recent_bars(df)), grid=True).axhline(y=0, color=\"black\", lw=1.1)" ] }, { @@ -1120,22 +1094,22 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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" ] @@ -1147,28 +1121,28 @@ "source": [ "zscoredf = df.ta.zscore(length=30, append=True)\n", "zcolors = [\"darkgreen\", \"green\", \"silver\", \"silver\", \"red\", \"maroon\", \"black\"]\n", - "zcols = df[[\"-4\", \"-3\", \"-2\", \"2\", \"3\", \"4\", zscoredf.name]].tail(recent)\n", - "zcols.plot(figsize=ind_size, color=zcolors, linewidth=1.2, title=ctitle(zscoredf.name, ticker=ticker, length=recent), grid=True).axhline(y=0, color=\"black\", lw=1.1)" + "zcols = df[[\"-4\", \"-3\", \"-2\", \"2\", \"3\", \"4\", zscoredf.name]].tail(recent_bars(df))\n", + "zcols.plot(figsize=ind_size, color=zcolors, linewidth=1.2, title=ctitle(zscoredf.name, ticker=ticker, length=recent_bars(df)), grid=True).axhline(y=0, color=\"black\", lw=1.1)" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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" ] @@ -1181,8 +1155,8 @@ "# Now Volume Z Score\n", "zvscoredf = df.ta.zscore(close=\"volume\", length=30, prefix=\"VOL\", append=True)\n", "zcolors = [\"darkgreen\", \"green\", \"silver\", \"silver\", \"red\", \"maroon\", \"black\"]\n", - "zvcols = df[[\"-4\", \"-3\", \"-2\", \"2\", \"3\", \"4\", zvscoredf.name]].tail(recent)\n", - "zvcols.plot(figsize=ind_size, color=zcolors, linewidth=1.2, title=ctitle(zvscoredf.name, ticker=ticker, length=recent), grid=True).axhline(y=0, color=\"black\", lw=1.1)" + "zvcols = df[[\"-4\", \"-3\", \"-2\", \"2\", \"3\", \"4\", zvscoredf.name]].tail(recent_bars(df))\n", + "zvcols.plot(figsize=ind_size, color=zcolors, linewidth=1.2, title=ctitle(zvscoredf.name, ticker=ticker, length=recent_bars(df)), grid=True).axhline(y=0, color=\"black\", lw=1.1)" ] }, { @@ -1202,7 +1176,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -1211,12 +1185,12 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -1231,7 +1205,7 @@ "\n", "Pandas v: 1.1.0 [pip install pandas] https://github.com/pandas-dev/pandas\n", "Data from AlphaVantage v: 1.0.19 [pip install alphaVantage-api] http://www.alphavantage.co https://github.com/twopirllc/AlphaVantageAPI\n", - "Technical Analysis with Pandas TA v: 0.1.99b [pip install pandas_ta] https://github.com/twopirllc/pandas-ta\n", + "Technical Analysis with Pandas TA v: 0.1.72b0 [pip install pandas_ta] https://github.com/twopirllc/pandas-ta\n", "Charts by Matplotlib Finance v: 0.12.6a3 [pip install mplfinance] https://github.com/matplotlib/mplfinance\n", "\n" ] @@ -1239,17 +1213,17 @@ { "data": { "text/plain": [ - "<__main__.Chart at 0x11005d820>" + "<__main__.Chart at 0x115782640>" ] }, - "execution_count": 18, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Chart(df, style=\"yahoo\", title=ticker, verbose=False,\n", - " last=recent, rpad=10, clr=True, squeeze=True,\n", + " last=recent_bars(df), rpad=10, clr=True, squeeze=True,\n", " show_nontrading=False, # Intraday use if needed\n", ")" ] @@ -1263,12 +1237,12 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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biB8f+pGiXkVZsm8JA+YPwOFy5HTYIulSYkhERERERETEA8v/Ws70LdMxMPjkrk8ynkIWH0+H8xcg/vqLS99W6TZm95qNt+nN3B1zGfx/g3FZrhyMXCR9SgyJiIiIiIiIZCAhKYFnFz0LwFPNnqJFhRbX7hQQQHjRIhAQkOn+O1XtxLQe07AZNqb8MYVXlr6CZVnZDVskQ0oMiYiIiIiIiFxHsjOZvnP6siNmB+WKlWPUnaPS3M85aybh9evhnDUzS+fpUbsH/7vnfwB8vPZj3l3xbpZjFvGUEkMiIiIiIiJy0wv09qPSzkQCvf0ydZxlWTy18Cl+2fsLRb2KMqf3HEoWKXmDooQBjQYwrvM4AEb9Oorxa8bfsHOJgBJDIiIiIiIiUghEtwuj07FSRLcLy9Rxb0S+wfQt0zENk5kPzqRlhZY3KMLLnm35LKHtQgF4aelLTImecsPPKYWXPa8DEBEREREREclpjaNCiUlKINDbz50MCgkJyVQfE9ZO4P3f3gfgi3u+4K7qd+V0mOka3mY48YnxfLTmI57+v6cp7lOcB+s8mGvnl8JDI4ZERERERETkphOTlIBp2IhJSnC3tW/f3uPjP1//OS8teQmAUXeOYkCjATke4/UYhsF7Hd/j8caP47Jc9J/Xn1/2/pKrMUjhoMSQiIiIiIiI3HSys6bQ6BWjeX7x81hYPN/yeV5t/eoNivL6DMPg026f0rNOT5JdyfSe3ZtVB1flSSxy89JUMhEREREREbnpRLcLI3RZKGGDPV9TyGW5eGXpK3y89mMA3mj7BiPvGIlhGFkLwuYCv4twwQTLgkv9nD+EcXwJtmOLMWJWg2EHrwAs7xLgFQBeJdzf27xKML1JZxom7SHi6CZGzL2XT7t/RZ1SNcByguXEcDn+/v6q/15qt3lhlW4LXsWzdh1yU1NiSERERERERAq8tNYUygyHy8HTC59m6uapAHzQ6QOea/VcpvvxMpIwDs3FdngexiO/Yvg4ADDmBIBvebDZMRJ2p3lseuknEwg1IbQSQAKseyjTcVlmMazgvjirD4KSzTJ9vNy8lBgSERERERGRAi+tNYU8lehIpN+8fvy08ydMw+R/9/6P/g37Z64T5wVsm15mZP0pmL9dTGnzubzZcCXC+f3XHGbZ/cH0haQ4DCs507F7ynCew9g3Cdu+SbhKNsNVbRBWcB+wZ26qndx8lBgSERERERGRm5InVcjOXDxDr9m9iPwrEh/Th28f+Jbutbpn7kSJJzBX9sQWuzpVs2X3Z3tsWWrXCMZIPAaJx3EmxmEr3RKrfGes8l2xSrUgIjKK9iEh4EqEpNNM+PAdnnu6PySdhuTTGMnxkBQHyadxJcaw4cgaNp/6EydQokhpOlXrSokipcFmgmGyPGold4Z0BMMEmx3O7cd2YCaGIyVpZovbgG39YKzol3EFP4yr2pNQsmnmrlluGkoMiYiIiIiISIEX6O2H39ZYEuqXcrdlVIXs5LmTdJ/VnQ3HNlDcuzhzes/hzip3Zu7EZ/7EvqIHxrl9AFhmUVxVHsGqeD9W2fZMDXuXsCcuT20LDR1JWNioVF1ERkamxGoWgSJFOHmxNFbgbe7t1lWnbAYc3bWQQQsGcerEKYocnMOS/ktoVbEVAEtnh3JH/TdTHeNq/B+MA7Ow7f0SW9wGAAxHAubeLzH3fomrdBtc9d7EKtv+8lpIUiioKpmIiIiIiIgUeNHtwuh0rJTH6wsdPHOQDtM6sOHYBkoXKc2SfksynRQyTkRgD293OSnkWwFH+whczT/FKt8VbN5pHXXdPs0+femwdRtmn77X3e+emvew7sl1tK3clguuC9z/3f1sP7U9/QPsfljVnsDZ6XccHX/DVfUfWGYx92bbqZXYo+7CjOyEcWL5dc8tNxclhkRERERERKRQ2RGzg5BvQtgRs4PK/pUJ7x9Os6DMLchs7JuCGXVPyjQvwCrRGEfHFdmfkhUfT4fzFyA+PsNdKxSvwI99fiTIFUTMhRjumXkPRx+9L8PEklWqOc4Wn+Po/hfOZhOwitd2b7Od+hX78s6YUffCxZjsXYsUCEoMiYiIiIiISKGx8dhGOkztwMEzB6lVqhYR/SOoU7qO5x1YLmxbRmJfNwjDSqk45gq6G0dIOBStdIOiTl9A/ycZv7kxtRP9OHjmIHdX+ZUmSWc8Sizh5Y+r+lM4um7CcesUrOK13Jtsx3/BHn4HpFNBrbCYNGkSbdq0ITg4mODgYLp06cKSJUuu2c+yLHr16kXJkiVZuHBhqm0HDx7koYceokKFCtSsWZM333wTh8ORW5eQISWGREREREREpFD49cCvdJ7emZPnT9K0fFMi+kcQHBDseQfORMzVAzD/HHO5qcYzOFvPBq/iNyBiD8TH88BZFz9HN6KCXwW2FjvH/fU2csHm9LwPw8QKfhhH12gcrb7G8imX0pywG/uydhgxv9+g4PO/ChUqEBoaSkREBOHh4dxxxx3069ePP//8M9V+n332GUYaazM5nU769OlDcnIyixcv5tNPP2XGjBmMHj06ty4hQ0oMiYiIiIiIyE1v4a6F3DPzHs5cPEO74HYs6beEMsXKeN7BxZOYy7tiO/gdABYGzibjcDX9KKXyVx6rcrEIC/ouoESynVX+p3mv8l+Z78Qwsar0w9FxBZZ/3ZSmpFOYkZ0xDv2QwxEXDN26daNLly5Ur16dGjVq8Oabb1KsWDHWrVvn3mfz5s188sknTJgw4Zrjw8PD2bFjB1988QUNGzakc+fODB8+nIkTJ5KUlJSbl5KuvP/tzSFOpzPVf0UkY7pvRLJG945I1ujeEcka3TuesywrzT+nGVtnMGjhIJyWk3tq3MPU+6ZSxF7E4z9T4+xOvFY9gO3c3pTzmEVJbjkFV4V7IYM+ro4prRivbDMtAAus9H/mkZGRhISEAGDzDyDC6aS9aVI3sC6f76xD3/pbGFvpLx6N20ewfyZGRF3iWwlnu3C8Vj+MeTISw3UR+28Pk9zgXZw1XywQVcvSu28sK6XG25kzZ1KN8PHx8cHHxyfDPufNm8f58+dp2bIlAOfPn2fQoEGMHTuWcuXKXXPM2rVrqVevHmXLlnW3dezYkZdeeont27fTqFGjrF1gDrppEkN796bcoLt3F+75jyJZoftGJGt074hkje4dkazRvZOxpKQkduzYkaptxp4ZvLf5PQDurXwvofVCObD3gMd9Fju3jlsO/gub8wwAyfYy7Av+LxfO1oSrzuVJTGnFeGVbXacTLBe4rGv2u2TJkiUEBQWlfHhrJD9/8w1lBgyAHTvocTyQthUDWFEinhd+eoExLcak2YcnjNJjqZQ8ilKnfwLAa8sbxB/exOGgV8EoGOmEq+8bwzCoUqUKDRo0ICEhwd3+6quv8tprr6XZx9atW+natSuJiYkUK1aMqVOnUqdOyrpUw4cPp1WrVtx9991pHnvixIlUSSGAMmVSRqodP348y9eVkwrGT9ID1apVY8+ePdSoUQPTNPM6HJECwel0snv3bt03Ipmke0cka3TviGRNYb53rhwZ48l2b29vatdOqbBlWRajV452J4Weaf4MYzuOxWZ4vqKK7cC3eG0bjGElA+Dyb4Cz9RyCi1b2uI8rY0rrc9MVYRSvco7/OzmTjW1DsZsmmDZwulLt52mfXqadj/bVoWWT1Sw6tIhX7nyF2yvd7nG816gzi+TtY/D6cxQApeO+p6T3WZJvnQp2v6z3e4Old99YlkVSUhJbtmy5ZsRQemrWrElUVBRnzpxh/vz5PPPMMyxYsIC9e/fy66+/snz58ht6LTfaTZMYuvSDNk2z0P3PUiS7dN+IZI3uHZGs0b0jkjWF8d6JioqiY8eOaW5rHBWK385YEryiiG4XBkD79u0xTROX5eLlJS8zYV3Kmi8j7xjJG23fSHNx4DRZFrZtozC3vetucpXvivO26Zhe/pm6BsMwUv3crv4cm3yO+Fq+OJPPpbQbAAYYpPvzvm6fBjQ9F8DjxyrwVdARXgl/hRUDV2QqIXaNBiNwFL8Fc+3TGFYy5vFF2KI642g7D4pUyHq/ueDq++bSVDJ/f3+Pfx+8vb2pVq0aAE2aNGHjxo18/vnnFClShH379nHLLbek2n/AgAHcfvvtLFiwgLJly7J+/fpU20+ePAmQ5tSzvKDFp0VEJNdFRETkdQgiIiKSD135jGD26UuHrdsw+/RNc9+YpAQO1fIlJunydKD27duT7EzmHz/9w50U+qjLR4y4Y4TnSSHnRcw1A1MlhZzVnsLZZi5kMimUl97eX43i3sVZd3Qd07dMz3Z/VpVHcbZbiOUVAIBxehP2ZW0hfnO2+y5oXC4XSUlJDB06lBUrVhAVFeX+Ahg9ejSffPIJAC1btmTbtm3uZBCk/J4XL1483RFhuU2JIRERyXWRkZGpPitRJCIiIo2jQhmxfQ6No0JTGuLj6XD+AsTHu/fJ6JnhQvIFHprzEN9u+RbTMJl832SeafGM50FcjMGM6obtwAzg78pjjf+Dq9n4fFF5zCMBAYQXLUL5omV5rU3KmjlvRrxJwhUJtKyyyobg6BCFVfQWAIwLh7CHh2AcX5rtvvOrsLAwVq5cyYEDB9i6dSthYWGsWLGC3r17U65cOerVq5fqC6BSpUpUqVIFgA4dOlC7dm3++c9/snnzZpYtW8a7777Lk08+meFi17lFiSEREck1jaNCqbT0JZaWj7380Me1iSIRERG5+WXlxdD1nhniE+O5d+a9LNy1EF+7L7N7zeaRBo943vnZXdjD78B2agUAllkEZ+tZuGoNzVdVuBpHhV7zLHXlOkvOWTNxDXkG56yZPN/yeaqVqMaRhCP8a8m/3NOossW/Lo6Ov+Iq2QIAw3EW89f7MPZ9nf2+86FTp04xePBgWrZsSY8ePdi4cSM//PAD7du39+h40zSZOXMmNpuNrl278vTTT9O3b1+GDx9+gyP3nBJDIiKSLZl5qItJSsA0bNcM+xYREZGC7+pngoyeEa5O8kS3C6PTsVLu9YKullZCBMCVfIH3f3uf5hOb8+vBX/H38Wdh34XcU/Mej2M3Tq7AHn4HRkJKBSvLpxzOkGVYFXt43EduSW8K3ZUuffax+zCh2wRsho3J0ZOZsHZCzgThWw5nyFJcFboDYFgO7OuexrZlJORE8ikfGT9+PH/88QfHjx9n165dzJs377pJobi4OO65J/XvXnBwMN9//z1Hjhxh9+7dvP3229jt+WcEmhJDIiKSLZmZFhbo7YfTclFpZyKB3ilVLDJaP0BEREQKhqufCa43usf4fjYV//oLs09fjO9ne9T/1QmRYknnSN64mJjoyQyPGM6BMwcI8gtiSb8l3BF8h8dxGwdmYEbdhZEUC4DlXx9HxxVYpVp43Ed+1qlqJ54MfhKAl5e9zJK9S3KmY3tRnK2/w1nzeXeT7egicF7Imf4l1ygxJCIiHrs0FezqN3WXfLY/gvEr5/LZ/svJoSsTRdHtwjjU6QPeqfPg5beBaawfICIiIvnflX/HpzeaJ739rd69OFylCs5ZM7F69/L4nJbLSWLMLjpM7cC+TV9xKmk7lstBk3JN+PKeL9k+eDtNyzf1sDML27Z3sa9+DMOVBICrXGccHSKhWBWPY8quQG+/VC/Ncnp/gFI7SzGg0QBclotH5j7CjpgdWQ03NcPE1eR9nE3GYRW9JaVKmb1ozvQtuUaJIRER8dilqWDpTQMbfEt7GiaXZPAtl4fXpvW20NM52SIiIpJ/Xfl3fFrTm663v0f+XkSZgABOnDvBucNrObFpMmf2LGLFwRXYbXZ61+1NZP9IVv9jNY81fowiXkU869uVhLn2Ccytl6etOas9ibPtPPi76lZuyWgKXXb3BzAw+OSuT7i90u3EX4znwe8fJO5CXFZDvoar5rM4um7K96XrJW1KDImIyHVd+Xbv6jdUnrwdzNAVD30iIiJSMGQ0FfzqZ4SMFkxOi3PWTKY1KMGAfkWoNqEa5w7/jis5AcNehOFthrN7yG6mPzCd1pVbe16KHiApFjPqHmx/Tbt8rkZjcDX7BGxenveTi3KigquP3YfvHvyOyv6V2RW7i0fnPYrD5ciB6P6mkUIFlhJDIiJyXVe+3bv6DVVGbwc/2x/BZq84GkWFppYRpxQAACAASURBVJpedqWEaV+zqH4Nkmd+m+Oxi4iIyA2SyangniyYDCnJoiRnEt9u+Za2k9syxXsK07dMJ8mZhL1YOQKqd6V0k8d56863qFA8C6NTEvZgD2+H7eRyACybL47bZ+Kq/a9cqTzmTqjd1S1VUi2jJFlOVXAt51eOH3r/QFGvoizZt4RXl72aI/1KwabEkIiIZEpGDy5Xbr80teyPdmGpppcdTzjO/zb8j27fdqPU+6X4wOcDfP/ti/9//An6MIiBPw4kPlFrDomIiBRUV79M8mRdnKMJR4kyo6g+oToDfxzImiNr8LJ58UiDR1g5cCWl6j9E0dJ1MGxmlmIyTv2GfdkdGGd3AmD5lMUZshSr0oNZ6i9LLiXUbGaqpFpuTrNvUq4JX3X/CoDxa8fz1aavcu3ckj8pMSQiIulKa5h4Rg8u19u+/uh6Ok/rTPDHwTy76FmW7V+G03K6tyc6Eom5EMO3W76l9eTWbD25NfsXISIiInnueuviOFwORq8YTY0JNXh3xbscP3ecIL8gQtuFsvfZvUy+bzItK7TM1vmNg99hLu+CkXQKAMu/bkrlscBW2eq3oHqwzoOMvGMkAM8teo4VB1bkcUSSl5QYEhGR9GUwTPxS+fmMqmJYlsXHaz6m3ZR2LD+wHAuLlhVaMrr9aLb9cxvDLg7jyNAj7Bqyi58f/pky3mXYFbuLNpPbMGvrrBtxZSIiIpIJGVUmTcvVo4zTGnW87/Q+Ok3rxFtRb5HsSub2Srczrcc0dg/ZzRtt36CcX7nsBW5Z2P4cg/33RzFcFwFwle2Ao/1yKHZL9vrOJRmt55SRS+s7Xf3ze6PtG/Sq24tkVzIP/fAQG45uwLKsnApbChB7XgcgIiL5WEAA4U4nHcy0h2x7Ug3jPOfpObsnC3YtAKBH7R6M7TSWKgGXy8B64UXpoqUpTWmqPfUqn9Gcz6ptYFnxE/Sf35/oE9GMbj86Z65JREREMi2jyqSB3n74bY0loX4pd9vVo4iv/GxZFtO2TGPo4qGcTTpLce/i/Lfrf+nXoF+6C0mndY7rciVhrh+Cbf+Uy01VH8fZbEK+XWQ6TfHxdLCZ4HJmvG8aYpISOF3LF/Pv780+fd0v/b4uUYw9XZqy8dhGbvv6NgKLBHJ7pdtpXak1Dzd4mIrFK+bghUh+pcSQiIikyzlrJuGhodwZ5nk51CttPLaRb4t/y8ldJ/E2vXm/0/s83ezp61cOiY/nAZvJfRsb8OZrLXlv1Xu8/9v7dKnahZBbQrJ2ISIiIpItGSVlotuFEboslLDBGT8zxF2IY8iiIcz+czYArSu15uv7vqZqiarXPS66XRgRzgjat/NgPZ6LMZi/P4LtxOXiF86G7+Cq/XKuLDKdr8XHp6xxBBQ9fY4fev3AkJ+HEPlXJDEXYliwawELdi3g4zUfs3bAKsoleUFsLEZcHMTGpv4+Lg4jJgb+/mzdfz+u11/P4wuUzFJiSERE3BpHhRKTlECgt597NFBGi02nZ2/cXrrP7M7JpJPUKFWD6T2m07R8U4+PNzF4O+Rtzlw8w2frP+P1iNdZOXAlNkOzoEVERHJDRESEe5RPZhI/1xO5P5J//PQPDp09hGmYvHnHm7zS+hXsNs/+aerRIs3xW7Cv7IVxbi8Als0HZ6uvsCr3zk7oWZbVZ6ncUsm/EvMfnI1j0waOLJ1D4srlFNm0mdKnj+H/crVM9eWqX/8GRSk3khJDIiLiltYw8axUyYg5H0P3Wd05cf4ETco1YemjS/H38c9STG+0fYOpm6ey/uh6vt/2PX3q98lSPyIiInJ9VyaCGkeF4rc9lgQz0qOp4xm56LhIaFQoH/7+IRYWNUrVYMp9U7K9qPTVjMPzMdc8juFIeZaxfMrhbPM9VuBtOXqezMjNimMeS0yE+HiM+DjM9u0x1q/HKzGR6tno0rLZIDk5x0KU3KPEkIhIIXPlQ9+NcCH5Ag/OfpBdsbsI9g9mfp/5WU4KAZQtVpZhtw3jrai3GLl8JD1q98DH7pODEYuIiBRul0YMV9mV5E4EXVqXxpnOmkKZcebiGR747gF+PfgrAE80eYKxncbil0HxikyxXNj+HI25dZS7yVWyGc7W30PRyjl3nryQxpqPmRmFZHc4abHzGM22H6Pp9qMYaw9iXLzo3m4cOHDNMZaPD6fLl2Cr6zinixrc2rAbpSrWhJIlITAQq2RJKFUKq1SplLZSpaB4cbBpZHdBpMSQiEgh8dn+CD47EEmNlXFsrwqDb0lJDuVkosjpcvLYj4/x26HfKOFbgp/6/kSQX1C2+32h1Qt8seEL9p3exxcbvuD5Vs/nQLQiIiICl0cMH8qhRFCqvs/HcO+se1l/dD3+Pv5MuncS99e+P0fPgSMBc80T2A7PdTe5gvvibPEFmEVy9ly54apEUFprPnr07LZ1K7ZvvmHT119T5vSF6+5qVauG1aoV1q23pnw1akQxLy/GzenL3B1zqV5yB6v/8U22XvZJ/qV0nohIITH4lvb80S6Mhskl3UkhgMjIyBw7xyvLXmHejnl4m9780OsH6pau69Fxqd56BQQQXrQIBAS4m9asXENou5TyqqNXjuZ04ukci1lERERujKMJR+k4rSPrj66ndJHSLOm3JOeTQuf2YQ+/050UsjBwNhyNs9WUgpkU4u9EUP16OGfNzPzB8fHYvvwSs00bvJo2xfzww2uSQpZpYpUshXVLVVyNGpF86BCO7dtxfvMNriFDsFq0AG9vDMPg87s/J9g/mD1xe/jn//0Th8uRQ1cp+YkSQyIikiP+u+a/jF87HoBJ907ijuA7PD72yrdeaT0MRUZGMqDRAOqWrkvshVj+89t/ci5wERERuUagtx+VdiYSmMXpXvtP76fD1A5sO7WNCn4VWNZ/WaaKUHjCOBGJfWlrjPjNAFh2f5xt5+GqMyz/Vh679ALM5Uz1EixbXC6MiAjMxx7DXrky5pAh2NaudW+2vLzYUrs2js8+I3n9eqx2d2I1b4FVoyaULgNly6bbdckiJfnm/m8wDZPZf87m/ln36wXdTUiJIRGRLIqIiMh4pzzUOCqUSktfonFU6A0/1w9//sArS18B4N8d/n1DFoi22+yMbj8agPFrxnMg/tr58CIiIpIzotuF0elYqVQLT2e0rs2l7TtidtBhagf2xO2haomqRAyI8HgUsUcsC9vuzzCjumEkxaQ0+dXE0XEFVlC3nDvPDeCcNRPXkGdwLvr5uiOCPFpDaP9+bG+/jb1OHexdu2KbMQMjMdG92WrUCOe4cTj++osjH3+M9cQT0LBhppNmrSu35tsHvqWoV1GW7FtC28lt2RW7K1N9SP6mxJCISBZlNAUrrxNHaVUYg9QPGmafvnTYug2zT98sn2flwZUM/HEgFhaDmw/mX7f+K8t9pRXjle6ucTftgttx0XmRsKjsV0gRERERz6Va1yaNqd/t27dn0/FNdJjagUNnD1EnsA7h/cOpWqJqzgXhSsJc/wzmxhcwLGdKU/muODquBP86OXeeG8iT9YHS3efCBYxvv8W86y68atXCfPttjP373ZutkiVxPvMMyatX41i3Dtezz0Lp0tleT/KBOg8Q0T+CSsUrsTN2J20nt2XpvqXZ6lPyDyWGRESyIKOEitmnL7ZPPs1WwiW70hsCnurBID6eDucvQHx8ls6xI2YHPWf35KLzIt1rdWdc53EYmR26bTkhKRbO7sKIWYNxbDHtW1RIc1fDMPh3h38DMG3zNKKPR2cpbhERkcLOkxdY1xu1ktbU798P/U7naZ05ef4kTcs3Jbx/OBWLV8yJcFMkHseM7IJt36TLcdT+F86288C7RM6dJ7+xLCodOYJtyBDswcHYBw7EFh5+ebNh4OraFcf06Tj++gvXRx9B05ydtgfQtHxTVj2+ilsr3kpcYhx3z7ibDlM7MPvP2SQ7Vaa+IFNVMhGRNFwq2xro7eceQp2qeld8PB1sZsr88L9ltD23RbcLI3RZKGGDrzOyJo3yp55aum8pA+cPJPZCLK0qtGLq/VMxbR70Y1mQsAvbscUYRxdjnIzCcCVeu1tAQ1yVH8JVuXeq9pYVWtK7bm++//N73oh4gwV9F2Q6dhERkcKscVQofttj3aXp05PRKJMrE0fh+8LpObsn55LP0bpSa+Y/NJ8A3xxaQ8dyYRz6ATP6NYwLB1OabL44W3yOVeWRnDlHfnT8OLZvv8U2eTLP/PnnNZut6tVxPfYYrkcfhUqVciWk8n7lWdJvCS8teYmvo79mxcEVrDi4gorFK/JUs6d4oskTlC2W/ppFkj9pxJCISDqq7EpK9fl6U8caR4UyYvucXFnPJydlpeqFw+UgdHko98y4hxPnT9CobCPm9p5LUa+i1znoPMbRn7FtHIr953p4LWqAueklbMd/STMpBGDEb8bc8iZeP9dhcLXJ2HZ+BOcPATAqZBReNi9+2fuLhjGLiIhkUkxSAodq+V4z3TyzLiWOftr5E/d9dx/nks/RuWpnFvZdmDNJIcvCODwf+5KW2H/vdzkpVKQizvYRN2dSKDkZ46efMHv2xF61Kuarr2JckRSyihbFNWAAjvBwHNu24XrttVxLCl3ia/flk26fsGvILoa3GU7ZomU5fPYwoctD+WnnT7kai+QMjRgSEUlDhqNtrhppE5OUwOlavjiz+YCVFzxa3PBvR84eYcD8AUQdiAJgUNNBvN/pfYp4pVEONmE3tqOLMY4twjixPN0EkFWkElZAffAuieVdCuzFME5EYYtd7d6nctGjEP0KZvQruEq3pWbwwwxpNoiP1n3K6+Gv0+EfHbAZetchIiLiiUBvP/y2xpJQv5T7c0xSAlV2JbnbPDVz60we//FxnJaT+2vdz7Qe0/Cx+2QvQMvCOLYY29a3sMVtSLXJVSYE561ToEhQ9s6R32zbhu2bb7BNm4Zx4sQ1m/dXqkSlkSOxevaE4sXzIMBrVSxekbfufIvX27zO7O2zmb55Og83eDivw5IsUGJIRMQDjaNC8Ssfy7yoUKLbhaVUlIiIwJnNhfzygyuHiV96MEyrNO3Kgyvp80MfTpw/gZ+3H592+5S+9a9YQ8l5IWVa2NHF2I4twkjYneb5LMOOVboNVtBduMp3Bf/6aVbHcJ7bh+3gbGwHv8M4fXktIdupFXBqBf/xq8lO/6L83/FoZmydQb8G/bLxpyAiIlJ4RLcLI8IZQft27d2fASLMy22emLhxIkN+HoKFRb8G/fjy3i+x27LxT0zLwjgRkZIQivk91SZXqZa46r+FVa5T/i1FnwXG4sXY3nkH2+rV12yzKlTA1a8frsce43/TpxM2cGDuB3iFVMsmXMHH7kO/Bv30LFaAKTEkIkLaawpdPZLmr5reBF7xObvVHfKj9NYZ+HLDlwz9ZSjJrmQalm3IjAdmUCuwFiTsTUkCHV2McTISw3khzeOtIhWxynfFFXQXVtkO4OWfcTDFquKq8zKuOi8z4d1neb5HuZQk0dkdAHgl7GJhOZhSBP67fAQ96/TE1+6b5WsXEREpTNJ6jsnMs82Hqz/k1WWvAvDPZv/ko64fZWv0rhG7Dtsfr2M7uTxVu1WiMc76oVhB99xUCSEOHcJ86SVsc+emara8vLC6d8f12GNYnTuDPeWf7JkZ4Z1TrkwEmX36YnM6MT//IlNLEEjBoMSQiAhpl3a/8uHoegszwrVDsvOL7D5EJDmTGLp4KBM3TQTg4ToP8L9Wj1Lk4P+wrfkZI2FXmsdZhpkyKujvZBD+DbL1MHcyKRBX/Tdx1RuBEbsW26YXscWuBeAxf+he7DCr1r9Dh1vfyfI5RERExDP/XvlvQpenrKs47PZhvBvybuarkl6SeAJz8whs+yenarb866YkhCr2gJtpunhyMrYJE7CNGoVx7py72WrQANfjj+N6+GEoXfqaw3L0hWRAAMTHE+7nd90CJJGRkfmqsIrcOEoMiYjkAI8qgOWB7DxEHEs4Rt85fTlybBXPBMDQ4NrUSF6M8dvcNPe3fIPc08Osch3BK4cqkVzJMLACW+HsEIW1dxK2zSMwkk9TyoS2Bz6Eev2heO2cP6+IiIhgWRZv//o276xIeRHzVru3GN52eNY6czmw7fkc29YwjOT4y+fwq4Gz/ptYlR8CI/NVU/MzY9UqzGefxdiyxd1mlSmD8733sPr1y7URUZdG/ISHhnJnWNrPrlcvoyA3NyWGRERyiAMH0cej2XZqG9tv2cNx72SCLnpRYcOXVPSvSMXiFalUvBKlipTK+lu1DKQ39ztTnBfZteMrVqwZzkSvc9St+nd74o5Uu1mGiRV4++W1ggIa5d4Qb8PEVf0pXBXvJ+HXXpQ8vZpiJOP6tQfOTqvAu2TuxCEiIlIApDVlPrMsy2Lk8pG8t+o9AEa3H82w24dlqS/jxHLMjUMxzmy93L/dH1f9kbhqDAabV5b6zbdOncIcPhzb5MnuJsswcA0ahOvtt6Fk/ntuKciFVSTzlBgSESF7U8G2ndzGa+Gvsdh7MWMnjU1pDL5ih0VDUu3va/elYvGKl7/8UxJGFYpXoIRPCYp6FaWoV1GKeRejSkCVTM3XTzXkNzMuxmAcXYjt8DycR5dQz7pIvWLX7mb5lk+ZHla+a8rij94lMn+unORbjqIhC9n2fXnqeTmwndsDvz2C846fIDuLX4qIiBRwV74sSmvKfGZYlsXr4a8zbvU4AMZ2GssLrV7IfEfnD2JGv4rt0OxUza5bHsPZ8B3wLZel+PItlwtj8mTM4cMxYmPdzVbTpjgnTMBq2TIPg8t5OfKCUvKEnppFRLi2Oocn4i7E8favb/PZ+s9wWk4woIRvCeqVrkeDNX9RIdmX416JHLyzKYfPHubwmcOcOH+CREcie+L2sCduT4bnqB1Ym6+6f0XLCjfgweHCYWyHf8Q4PC+lmpiVMmf8yjSUhQ2r9O3uZBAlmuS7hR9tXv5MC+jNi2dmUMYOthPLsKJfxtX0w7wOTUREJM9k+WXRVSzLYtjSYYxfOx6A/3b5L4NbDM5cJ86L2HZ+iO3PMRjO8+5mV8nmuJp+hBV4a7bjzHeiozGfew7b75erq1n+/rhGjcL19NNwnbV9Cqqc+p2T3KfEkIgUSmm90fD0LzLLsvg6+mtGRIzg1IVTAHSv1Z13Q96ldmBtDMPA/LYb/L1An3PCHPexFx0XOZJwhMNnDnPo7CF3wujw2ZSvs0lnOZ98nvPJ54m/GM+OmB3cMeUOXrn9FUbcMQJv0zvduDyaC56wG9vh+RiH5mGLvbYsKsAxBxz2a0ijxq9C+c4FYlpWm7r9eHDeDJZVAm8DzN2fYAXUx6r2ZF6HJiIiUmC5LBdDFw/l8w2fA/Bpt095smnm/m41jizE3DQM49zlF2KWd2mcDd/Bqjrw5lpYGuDsWWyjRmGbMAHDeXmhZlefPjj/8x8ICsrD4ETSpsSQiBQKVyeCsvpG4/DZw/xz4T9ZvHcxAHVL1+WDzh/QqWqn1DsGBBDudF5T6cHH7kPVElWpWqIqabkyztgLsQz9ZSgzt85kzKoxLNy9kK+6f0Xjco3TPDbNueCWBfGbsR2el5IQit+c5rH7nXa+i3fw80Vf/tn5Kx6s28uTP458487gO3nYVZzBJ84y6e9R6OaG53EWr4VVpl3eBiciIpLLcmLhYJflYsjPQ5i0aRIGBl/c8wUDGw/0vIOzuzA3DcN27Gd3k4UNV43BuOqPLBAvnjLFsjDmzMEcNgzj8OHLzTVr4hw/HqtDhzwM7sbTYtUF202WnhURSVtkZGS2+5i1dRbNvmzG4r2L8bX78l7H91j3xLprk0KkVHsIr1/PXfXBE2afvtg++RSzT18AShUpxTf3f8OMB2ZQukhpNp/YTOuvWzNm5RgcLke6/dgsF8apldiiX8P+cz28lrTA3PbONUkhV0BDNpd5kFsP+1J1r4MvnNX4oO/KApcUgpSEW9fqXfnqDET5NgfAsByYq/pAwt48jk5ERKRgcbqcPLXwKSZtmoTNsDGp+yTPk0KOBGybR2D/pWmqpJCr9B04Oq9Jmep9syWFdu/G7N4d+8MPu5NClq8vzrfewrFhQ4FMCgV6+1FpZyKB3n4e7R+TlMChWr5ZXsdK8pYSQyJS6DSOCmVp+VgqLX2JxlGhGe4fcz6GfnP70X9+f+IS42ge1JzV/1jNi7e+iJeZg1Uz4uPpcP4CxMenau5ZtycbB23kvlr3kexKZuTykdz5zZ1sP7X98k7OC/S0jvL5kUVsif8ae0R7zJ3jUg3bBjjhW535RdrS72IrArccpNGqOaw5n0jHWzqy6vFVNCzbMOeuJ5fdV+s+AJ45kpCyHhJgJMVgX/kgJJ/Jy9BERERyVXS7MDodK5WlkRsOl4N//PQPvvnjG0zDZPJ9k3m04aMZH2hZGAdmYV/UEHP7fzBcSSnNRSriuHUqzpClUKJRpuPJ1xITsb39NvamTbH98ou72dWtG45Nm3ANHw4+PnkYYNZl53dICh5NJRORm05GJVkvTbky//7+ehbtWcTTC5/maMJRTMNkeNvhvNb6tRxLCKVdvcGCszsxYteyY9smatdtRHnTh9m3PUpExeqMX/8/YmLX8vS0FrxUtyttbTGUObuRT50XwDfl8EucGGxw+DH99AW+P+PgiHMPcDlZ5G1682zLZ3kn5B3sBbyK113V78Jus7M1Zgc7an5NnXP7MM7uxDizDXP1AJxtfgDj5lvoUUREJC0hISHu7wO9/dzPRteT7Exm4I8D+f7P77Hb7Ey9fyo96/bM+GSn/8Dc9C9sJ6PcTZbNG1etobjqvgZ2z0adFCTG0qWYzz+PsXu3u82qVAnnBx9g9eiR74p1pOXK3xEp3Ar2vwJERP52vZKsxvezqfjXXxjfz8bq7dk0qYSkBF5Z+goTN00EUqqDTb5vMs2Dmudo3JGRkbS/41aMuPXQaD9GuTNQ9jReixoAUB9g7eX9uwBd3JVck+DMT9f0ec4Fi87D/ARYeM4i1nUWAD9vP9oENaZJ+SY0KdeExuUbU690vesuaJ1nkpPhzJmUr/h4bjlwAGPBAjhzBuPMGSwfH6wmTaB+ffBOib+EbwlCqoSwdN9S5u9fTo02c7Eva4uRHIft6P/B7/1xNhoNxW7J22sTERHJBVe+ePJk1EeSM4n+8/ozd8dcvGxefPvAt9xf+/4MDorDtnUUtt2fYeByN7uC7sbZeCwUr5nl+POtI0cwhw3DNnu2u8kyTVwvvIBrxAjwKzhJMFUQk0uUGBKRAs/s0xeb04n5+Rdprulj9e7F4S2b3UmhS2/NLn1/tZUHV/LET0+w93TK2jTPt3yet0PepohXkUzF5X4LY7kgKQYSj2Eknrj83/MHGFxtDvZ5YzEsB2SjIv0JB/x4Duadg2Xnwb9IWZqUb8ITDRrTpFwTmpRvQvWS1bHl58of27ZhmzwZ28yZGMeOpdr0FMD06dccYnl7YzVqhNW8OVbz5gz0bUaEcyk/7vyRl257Ceft32L+ei+G5cR2aDbG4Xm4qg5MeXtZNDh3rktERAqdq0cEpz1COP+46LjIw3MfZsGuBXib3sx6cBb31Lwn/QMsF8b+KZh/vIGRdOpyc7HqOJu8j1XhOscWVA4Htk8/xRYWhnH2rLvZ1aYNzo8/hoYFdzr+Jfn991RuHCWGRKTgi4+nw9+l4dNz5VDZ9N6aXXRc5K2otxj3+zgsLIL9g5l470RCbglJc/90nY7Gtm8ynR0r4afjcPEEhpV2bJWLkmrqF4CVaMeq2oUxcbHEmMWwuxyMrnUvxrTJ7DccVLVbuLp3A1cieAVgBd2NV/H61D21g6CLp/mkTAOC/IIwCsAQZs6dw5g9G9tXX2H77bdMH24kJWGsWwfr1gHQD3jQDhvL/8aFbf+iaLf7cTb6HHPbMIzk+JQFqfdOxLZvCq7a/8LVIOzmK5MrIiK57sp/UDeOCsVveywJZqT7mSOr1VBzQ6IjkT4/9OHnPT/ja/dldq/ZdKnWJf0Dzh/CXPcUtuNL3U2WWRRX3ddw1RoKpm8uRJ27jNWrMZ99FiM62t1mBQbiHDMGq39/sBX8Z4m0fm8zokTSzUOJIREpcDJaQygtGf2lten4Jh7/8XG2ntwKwGONHuP9Tu8T4BvgWVDJ8dgOzMLY9xW2uA2eHfO37bZS1KrSA77bxO8nS3Db+QCcs2bx36UvYRo2nJaLd2q9gLlmEbfYTCyXE9ebY1P14Qe0qtgqU+fNM5aFsX49xldfYZs1K9VbN/h7FFCzZlCiBBQvjhUQwMrNm2nTrRsEBGD5+2PExWFs2ICxfj3s3IlhXc6uFXFA60PAuAkwbgJW0aJYbW/HamBgBK3CCDqPQTLm9vcwLhzG2eJ/UMDXVxIRkbx1ZeLn0lqGzlyszpSVZyOAC8kX6DW7F0v2LaGIvQhze8+lQ9X0K2gZB2ZibngeI/m0u81VuTfORmOgaOVsXUO+FBuLbcQIbJMmpXrWcD3xBM533oHAwDwMLmdl5fc2Pyc8JXP0JCwiBc7VawhdLdDbD7+tsSTUL5VhX+uOrOOTdZ8wa9ssHC4HZYqW4bO7P3NXuLouy0opC7/va4xDszGcF1JvNkzwKQe+5bB8L/23LPiW55ldv3DK5sefZmliDG8OtfgAWkBCRMT/s3ff8VEU7wPHP7N76SGh9wCBUATpqDTpVVQUkaIizQKIDdQv8lMCKCoWREHsqCBNRSnSSyAG6b1IINTQIYH0drvz++OSSy4JpEIK83690GR3bm6WkLu5Z2eeB6O4vsGGh6MtWIA2ezbi4MEMp2WDBpjDhmE+9VSGidZqf39ajR+f2jbtychIxN69tmDT7t3c2LKe0heu20+L2FjE2g2QXCxElvGAejGIhqBF/ApJkRgt54FeNKuGKIqiKAVL7z+AToaB3n9AplvaszqfH7KaG2UmJjGGPr/3IeBMAB5OHiztt5R21dtl3jgxHH3Py2ihv9sPSbcqGC2+Q1bsmtfhSliLlAAAIABJREFUFz5SIubORR83DnEtzVa5Ro0wZs5EtmxZgINTlPynAkOKohQ5WQV+9rebRIARQMd2mQdYEo1E/vjvD2btmsWOCzvsx3vX6c1XPb+ivEf5Ww8g/jLamV/RTs5GRB/PcNos1QzpOwyzWn9wynzF0ZIzp9FTtjDJ1GSNOb3rUuiX8JomIjDQFgz66y9EQoLDaenhgezfH3PYMOR99+WugoeXF7J9e2T79gCcvnKQ+p83p+dpC9+49MU5YDPi4kV7cxEWA1uw/QG06ssQLe/FGPIl8sHO9mTWiqIoipItWW1pz8aW97zKyU0xgIj4CPr83od/Qv/B09mT5f2X08anTaZtxaU16DtfQMSnvpea1QZgNP0CnEvly/gLlUOH0F9+GW3LFvsh6emJOXEi5qhRYFEfoZXiR/2rVhSlSEgbANnfbhL+G/yZNDJ5qbS3NxsNg056ainyzIIlF6Mv8t2e7/hh7w9cjrkMgJPmRL/6/XipxUu0qNzi5gOQBuLSWrRTsxEXVtiSRac97VQSs/pTmL5DoGSTvF1sDhTaJbwXLqDNnYv288+IEycynDYfeMAWDOrbF0qUyNenvrfcvXj41OTnEifp2edxHv/pF1ti6w0bEBs2IAIDETExqQ84A+LMGSyLeiM93JHtOyC7dcPs2hX8/IpEuVlFURSl+Nu/fz9169bN/Fz6uVEmpJTsuriL2ftms+jIIqITo/Fy8WLFgBU8UOWBjA+wxqAdGId+4tvUPpxKYTSfgfTpl+frKXSio9Hefx/tiy8QRmoQz+zbF+OTT6BKlQIc3O2XWXBRlbO/e6jAkKIoRUL6AEjaNypj0UI2+vvTflLGyZCUkm3nt/HVrq/48+ifWE1bQKeyZ2Web/Y8zzV5jgqeFTI8zi7mFNqpX9BOz0HEnctw2izXHtN3KLLq46DnrGpZsWO1Ilavtq0OWrXKYVIFIEuXxnzmGcwhQ+Dee2/bMIQQPFLnEb7Y8QXLjy/n8XqPQ4MGmA0awCuvQGIiYutWxLp1aKuWIA4eS31sTCxi5UpYuRIdkL6+mF27Irt2RXbsCF5et23ciqIoinIr+/fvp1+/nAdkwuPCmX9oPrP3zebQ1UP247VL12ZO7zk0r9Q8w2NE2A70HUMQ0SH2Y2aFbhj3fQdulXN3AYWVlIilS9HHjkWEhqYe9vPD+OILZNdiuFUuE5kFFwvlzUfltlCBIUVRiqT0b1Tp72jEW+P57chvzNo1iz2XUpNBt67amlEtRvF43cdx0p0y79xMRJxfgnbyJ7QrGzKclq4VMWs8a1sd5OmX7TGnXfVUxtmTsMRoqh9PzPay70LrxAlbmfk5cxy2bKUwu3TBHDIE2bs3uNyZPD6P1nmUL3Z8wcqQlVhNK5a0yaWdne1bz8z334fjAVi+fRKxJxIOAhGpTcWpU+jffQfffYe0WJAtWyK7dsXs3Bnc3e/ItSiKoiiFj8NW7kxWLue3pkGTcPeJomnQJA60n5xle1OabD6zmdn7ZrMkeAkJhm0rt6vFlT71+jC8yXDa+rTNWMHUtKId/QjtyBR7RVWpu2M2nopZ84Xit4r25En0119HW7XKfki6uGC+9Rbmm2+Ca/GrsKYomVGBIUVRbqvcVsnIqZTJ2bnIc3y751t+3Psj1+JsyQJddBcGNBjAqBajaFqx6c07ib+MdvIHtBPfOeyjB1siaVmxB2bNYciKPXNVxSrtqqeUvwv/f2697LvQio9HLFmC9tNPaAEBGU7LKlUwBw/GHDwYfH3v+PBaVW1FGbcyhMWFsSV0C+2rt79549odsfr/i2VzT0RMKJwF+Z8X8nRdxPZ9iKQkAITViggKgqAgdH9/6pcrh/zqK3jssTt0VYqiKEphkfY9/VYrl/NLeFIMYX7OiKSYW7a7EHWBOQfm8PP+nzl546T9eKPyjRjeZDgDGgyglNtN8gJFn0DfPgQtfLv9kFn6foz7f4IStfPlOgqNhAS0adPQPvwQER9vP2x27YoxfTrULmbXqyhZUIEhRVFuq9xUyUivcaA/nhXDWRLon2lwSUrJltAtzNw1k6XBSzGS73D5ePnwQrMXGN5kOGXdy978Ca7vRT8+ExG6CGEmOvbtUQvTdwhmjUF3fOl0ThNJ3nZSwr59ttxB8+Yhrl93PK3ryF69bLmDunW7rckZs0q6bdEs9KrdizkH5rDs2LJbB4YAStTB2inAFhyqcRxRIxJcTmNtthax/4Zt29m6dYjjqcnGna5ehX79MCZMwBw/HjQtPy5NURRFKeJSVgWXcfa8rc+T8l5oNa2sClnF75bfmTpzKmZyUQsvFy8G1B/AsCbDaFqxacbVQSmkRJz+BX3v6wjDFniSQse8ZzzmPW/n6mZYYSY2bkR/5RXEsdSt5LJyZYxPP0U+8UTxWxWlKNlQvH7LFUUplsISo7lRxxUjXXApLimOhYcX8tWurzhw5YD9eLtq7RjVYhSP1nnUcQtRWqbVtl0s5Cu0a1scTkk0ZJVHMf1GIsu1B1EwH/izSiSZVcAsX0RHIzZsQFu9GrF6NeL8+QxNpJ8f5tChmIMGQcWKt2cc6WQn6fYjtR9hzoE5LD+2nE+7fHrzCXEK92pYOwZg+acX4sZ+RMJVLDt7Yzy4FLPXdEyAU6fQ1q+HP/5AT14ppU+ejNi/H2P27HxPpK0oiqIUPlm9/97OFdJp/bnpTzaIDcw9MJeL0RexJceDNlXbMLTJUPre0xd3pyy2PSdcQ989Cu38Evsh6VEL44GfkWUySUhdlF26hP7mm2iLFtkPSU3DHD0ac8IElUdQuaupwJCiKDlW0CXSz0Sc4Zvd3/DT/p8IjwsHwM3ixlP3PsXIFiNpVL7RzR+cEIZ26ke0kG8yJJOWTiUxaw7DrDUSPKrfzkvIFzcLmOXZ8eO2QNCqVbYKXomJGZpIV1dknz6Yw4cj27a9o3fX9P4D6GQY6P0HYCxaeNN2XWt2xc3ixumI0xy4coDGFRpn3blreazt16EHPYYW9i/CGoke+BBG69+QFbuDry/m889jDB3K5bffptKXXyKkRFu6FPHgg1gXL4ZatfLxahVFUZTCJrP33ztRvcm0JmCNusy7m97ly0PziHM5B//azpVzL0fNyJp8P+p76pWtl63+xKW16DufdyxD7zsMo8mnYLm9q53uKMNA+/ZbtAkTEJGR9sNmy5YYX34JTe5cNVlFKaxUYEhRlBzR+w9AMwz0b7695YfyFJlth0obWErJQZTSNuUuW/rgk5SSxMhQ+v7Rl7+P/21fJl3DuwYjmo9gSOMhlHa7xZarGwfQQ2YhzsxHmPEOp6TXPZh+ozGrPwUWj+z9ReRQyt3FH9ePdbjOrCaSd6RMaEIC4p9/bBXFVq5EhIRk2ky6uiI7dEA+/DDmk09CqZvkKLjdIiLopOlgGrds5u7kTmffzvx9/G+WH1uevcAQgHNJjHYr4N9+aJfXIYw49KA+GA/8gvTpa2sjBFeHDqVshw44DRmCiIhAHDmCpXVrjPnzkZ075/EiFUVRlKIkv2+YSSlZsHoBZlWTree2Enb0T4y4MACmHltub+fsXY05nT/m4doPM2XylOwFhYw4tAP/hx4yM/X5nMtgtPgGWaV3vl5HQRO7dqG/9BJi7177MVm6NMYHHyCHDFHbwPPgjqxcV+4YFRhSFCVnsvmhPEVm26HSbgNKyUGU8nXaNm3bteXQ1UPEXtpP/NXDWOPCWJZ8vlONToxqMYpefr3QtZtUAZEG4sLfaMe/Qru6yfEUAlnpIczaLyPLd7ztK15S7i7qOF5nVhPJW53PUw6D8+cRa9bYAkEbNyKiM191JKtVw+zZE9mzJ7JDhyJXievROo/aAkPHl/POg+9k/4EWD4w2f8L2Z9HO/4WQSejbnsFwKmFbOZTM7NED65YtWJ54AhEcjLh+Hb1XL8ypUzFfeUXlKVCUu1RmhRcKerWtUng1DvTnWnwE1thrOMeF0cbFm63nttq2h+11bKu7ePN03d78FXkOt5LVwdmTPvX6ZP/JbuzDsn0wIvI/+yFbGfrvwa1SPl1RIXD9OtqECWjffYeQ0n7YHDIEY8oUKFeuAAdXPNy2letKgVCBIUVRbinD5DZdSVa9/wCIiABv72ytILoZKSXW+BvMPzSfPT++x3q3cD7/cCrxmmlvIzQnXmgyjJHNR1K/XP2bd5Z4He3UT2ghXyNizzg+j8UL03copt8I8LxzW35SVk6dqe2cb8koc3R3xjAQO3ciVq5EW7UKsX9/ps2kriNbt0b27InZsyfUr1/gwY3sbh3LTC+/XmhCY++lvZyNOEs172o5eGIXjJbzYPdItNO/IDDRd76Atfte0L1T29WpgzUoCH3wYFugzTTR33zTlndo1ixV6lZR7kKZFV7ITm40pWDc9qDdLcrZJ1gTOHNyHXGX9iNNWxXMP5PPaVKjRZUWtPFpw+ywYCzuFdBdPfmhy2esXj8WXWgY0szQZ6akgXZsOtrBCQhpex6puWI2/si2hb643MiQEjFvHvq4cYgrV1IPN2iAMXMmsk2bAhycohReKjCkKMotpZ/cZijJGhEBmm77fw6Y0mTfpX3EXNhFUtR5kqIvI40EhhyYC2lu4ni7eNOiUgv88OO9Pu9R0rXkzTuNOIwWMgvtzDyEEetwSnrWxqw9GrP6M+B05xME7283iQDjDt8tDg9HrF1rCwStXYsIC8u0mSxXDtm9u21lUJcuBbdF7GZyuEotrXIe5WhVpRVbzm1h2bFljL5vdM460CwYLb6F+Etol9Yg4i+i73kF475fHNt5e2P8+Sdy4kT0jz6yPfTXX+HoUYzff4cqVXI8dkVRFCV/ZBX4yU7QLi/Bo5uVs997aS/Dlg8j9uphAITugpNnRd5t+hytq7Zm1Y+r+GDIBwDMWz8WaWQzCJSOCN+Ntm8sWti/9mOyZGOsD/wCXre40VbUHDmC/soraIGB9kPSwwPz3XcxX34ZnJwKcHDFwC0CnFAIq+kqOaICQ4qi5FhO896ktA+NDKXt6pdJ8Azm40+mY1jjHBsKnZaV76NFpRZ43PBgUOdB+JX2Q7tVVTBpIC6utG0Xu7Ixw2mzYg/M2qORFboUWHWxFLc9KCQlHDxoCwStWoXYtg1hZj6JNJs1s20Pe+ghZPPmhXuPfRYTkaz0qdeHLee28MPeH3ipxUtZVydLT2gYLb5FrGmKSLqOFvobWqWHgXRJzjUNc/JkZKNG6M89h4iNRdu1C9GqFcaiRchWrXI1fkVRiie1tezOuVXgJ7urUvNzxVe8NZ6PtnzE1H+nYkgDYXHDu0ZHXEv7YSIZ/8VeiNiE6emZq9WydrFn0Q++i3Z2gf2QRGDWHYN57yTQnPPlegpcTAzaBx+gff45wmq1HzYfewzjs8/Ax6cAB1d83CzAmSKrarpK4aYCQ4pyl8mPiWh276pFJUSx+exmNiRt4OVvXuZY+DGHdiWcS5DgXhZX7+o4l6iEcC1FYLfp2RtE4g2007/YtovFnHQ4JS2emDUGY/qNhBJ1cnRtRU5MjC1H0KpVtkpi585l2kyWKIHs0gXzoYeQ3bpBpaKTRyCriUhWBjUaxITNEzhy7QgbT2+ks28uEkO7VcZo9iWW7YMAcNr3GpYaC4G6GZrKvn2x1q6NpW9fxJkziEuX0Lt0wZgxAzlsWK6uQVGU4kdtLSsk8rAqNbtMaXJRXOTTrZ+y8fRGtoRuIS755tgT9Z5gs1spnJyTi19IaV+N3Sk2zj6u0k4eXLFGUD47q56TotCOfox27AuHghvS0w+j+dfI8u3z/RoLili+HH3MGMSZ1NQB0tcXY/p0ZM+eBTiy4umOFEVRCoQKDCnKXSb9RHT//v3UrZvxw22KnCQ4NkyDe1a9SFLwEcIPXyYp+iJWM/XOjSY0NI/yuHpXw+Llw/lH5+AbMM6efDpb++Qj/0ML+Rrt9FyEEeNwSnr6YfqNwqzxLDh5Zd1XUZOyciYuDm3mTNuqoM2bMy0nDyDr1rUFgnr0sO2pdy4mdwZzqKRrSQY3Gsys3bP4cseXuQsMAbJaf8zzS9HO/YFIDMfnwiRosC7zxo0bY926Ff2pp9A2bUIkJWEZMQJj/37MTz9Vy9kVRVEKi2ysShW//0GVM2cQv/+BfLJvjro/cOUAw5YN44DzAQhIPe4lvfimzzf0vaevrbpTFnkI97b1Jzg42D5ny2zbjoaJduJ7tMOTEAlp8us4l8as/w5mrReKzyqh06fRx4xB+/tv+yHp5IT5xhuY48aBm1sBDq7oyirwk1UwWwWOii4VGFKUu5jTwKepYE3C+ec5UNKWPDp9MumsEhyfdI1jXenrrPe+xsbplbgRf8N2IvkGVa1Steji24XOvp3pUL0D9wa9Z0+W6KRn88OxNBGXVtu2i13O+EHcrNDVtl2sYvcC3y52WyQmIoKCkNV8aDx3Llp4OKxbm6GZdHGxlZPv2ROzRw+oWbMABls4vXTfS3y9+2tWnVhFcFgwdcvcPBh6K0azGYhrQYj4S3hFbyHx7DyoOTjzxmXLYqxYgXzrLfSvvgJA//prxOHDGAsWqIooinIXy0tSfSV/ZWdVqnyyL+cPHbQHhbKTS8VqWvls22dMDpxMkpmEm+ZG51qd6VSjE51qdGLhzIX0vcfWX4YtOB9kvdIl/WPEpbWMa7wQfU+alTPCyZZf8Z5x4FzI8gfmVmIi2vTpaFOmIOJSUxKYnTphfPEF3OJmp5K1272rQCm8VGBIUe5yHSOjIN1dso2ennS6SfuI+AgCzgSw/uR6NpzewIn7T6SejLclTnTx8sHJ24edPb+mZinH4ESOSqwnRaZuF4sOcTgldQ/MGoNs28W87snOpRYtFy8iVq+2VbnasMFeTj59KEH6+NiSRvfogezYETw87vxY74C83oGqXbo2D9V+iBXHVzBz50xm9JiRu45cymC0+BZLUG8ALMFTMXyfAXGTO81OTpiff45s3Bh99GhEYiJaYCCiVSusf/wBTZrk8ooURSlscrRV+w5sX1JyL6ufZVa5VI6HH2f48uFsO78NgEfqPMLXPb+mvEd5exvBLfLdeXtDRIRtPpZVfr3oE+j73kC7uIK0Myuzah+MhlPuaAXW2yYx0ZY3cd06tMWLESGpc0JZsSLGxx8j+/cvPpXVioi7Kdn0jz/+yOzZswkNDQWgXr16vPnmm3Tt2pXr16/z4YcfEhAQwLlz5yhTpgy9evVi/PjxeHunVrENDQ1l7NixBAUF4eHhwYABA/D398diKRwhmcIxCkVRbov0peYbB/rjWTGcJYH+7G83iaQF8+zLkvXkiYexaCFmQABGugmR1bQyc+dMJgVOIiYpdQuXRbNQyVqJ4R2G08W3C48fWYBFs2BIM0NQCLJZYj0qOHm72ByENdrhlPTwTd4uNhicb1GhrKgxDMSuXbZy8qtXI/buzbSZqWnQujWyRw9bOfl7770rJkL5cQfq1fteZcXxFcw9OJdJ7SdR2i13ExlZqSdGufboVzejRYdgXliOrPLYrR8zZAhGvXro/fohLl1CnD2LpX17jO+/R/brl6txKIpSuNwqZ1D691+l8Goc6I/n0XDOGH/b5085sfi/xTy/4nmiE6PxcvFiWtdpDGo4yKHwQWZb09LeAElZRZbZfMzOGkuX8puxrJmGMBPsh83S92M2/hhZtnWOxl2oSAnBwWjr1yPWr7dtm49Jlz5A0zBHjsScONEWSFPuuLsp2XTlypXx9/enVq1aSClZsGABTz/9NJs3b0ZKyaVLl5g8eTL16tUjNDSUMWPGcOnSJX75xVbF1jAM+vfvT4UKFVizZg2XLl1i5MiRODk5MWHChAK+OhsVGFKUYix9qfnsSj+x3XF+B6NWjeLAlQMA+JX2o3vN7nTx7UK7au3Y9e8uOra1PabsiRU5unuQsoKoxvEEGvvdQP/nEbRLazK0M8t3xqz9ErJSz5uvzihqrl93LCd/7VqmzWTZsrZy8j162BJHF7Zy8kVE++rtaVi+IQevHOTHfT/yZqs3c92XUft19KubAdCCP8fIIjAEIFu2tOUd6tcPbedORFwclmeewfjvP8wJE+6KAJ+i3K3CEqO5UccVI4fvx8qdl/Kz0pO/vpn0K1mtppV3At5h2vZpALSr1o7Zj8ymmne1DI9NvzUNMr8BkmmgUUrEucXo+/9Hp/JnITk9o3StjNHoA2S1gUXz/eTaNcTGjanBoJsU0wAw27TBmDYNmja9gwNU7mY90yUyf/fdd5k9eza7du1i0KBBzJkzx37O19eXd955hxdffBGr1YrFYmHjxo0EBwezZMkSypcvT8OGDRk/fjwTJ05k3LhxOBeCPKDFJjBkGIbD/xWluNq0aZPDZCSr72Xy/w3DYE+bCUxaPwn/FyZgGEaWvzcRCRH4b/bnu73fIZGUdi3NBx0/YFDDQQ4l5Nu1a2fvY0+bCWxK2kSHNh2y9fu45/7X0c/+SmLEZ3jcOO9wTuruGNWexqg1AulV33bQBCi6v+fi2DG0FSvQV65EbN2KuMnfkdm0KWb37hg9eiBbtHDc7neXv87pEkCCzPlr/sstXuaFlS8wa9csXm7+cvbzXKVjlO2M4VILt4QTaGFbSboShCyTjXL0FStirF2L08svo//6KwD6lClw9ChJ33+vkmUqxV5xnq9JKe3XVdrJgxJHrhNVvxSGYWT4Pi+vY0rOOA18mk6GgdZvAEkL5mXaJu3PDlLnTpD680nfJu3c53LMZZ5d9iyBZwMBGPPAGCa1m2RbQX2Tn2/6/rJiGAYu8Sdw+uc19GubUvsRThi1X8Zadxw4lQAzG4U8CgMpEbt3oy9bhrZhA2LvXoSUmTetUAGzc2eMzp0xO3ZMrayqfncKXE7/Hd9pN3vPkcn/1iIjIx1W87m4uODi4pJln0uWLCE2Npb77rsv0zaRkZGUKFHCvk1s586d1K9fn/LlU7eTdu7cmbFjx3L06FEaNWqU84vLZ8UmMHTypK1cdUhISBYtFaVoW7duHZWS3xDrjH8HoQnkjK849sH7Gb63Wq32RM/BwcEAJCYm2r9Okf73RkrJ2vNr+eTgJ1xLsK1iecTnEV6/93VKu5Tm+LHjtxxjpUqVMjxHes4JZykbvpDSN5aimzGk/Xie6FSJa6UHEF7qcQzdCy4CF2/dX6FlteKxbx9egYF4bd6MS5pyqmkZ7u5EtWxJ1IMPEtmmDdY0bxyo1zUH9xgGSBNMmeW/s/Qa640p7VKa81HnmbVpFj2q9sj1OEqVeZZqF/wBiNvzPmeqTcv+g8eOpVy5clSaPh0hJfrixSQcPcqp6dOxqqTUyl2gOM7X0r6/Liw3gDln5vBs+wEEBwdn+D4vr2NKztwTHk47TWDc4u867c8uZe4EZDl/Atgfvp83drzB1firuFvcmdx0Ml0qdeHE8RMZ2t7sObOiGdFUuPotdcMWIEit9hocUR3Z/AsSnGrAyQvZ6quguZw6RclVqyi1ahUuyfla0jNdXIhp1oyoVq2IatmS+Nq1U1dBRUba/iiFQk7+HRek9O85QgiqV6/OvffeS3R06srA//3vf4wbNy7TPg4fPkz37t2Jj4/Hw8ODuXPnUq9evQztwsLC+OSTTxg8OLU4yZUrVxyCQgDlkud7ly9fzvV15adiExiqWbMmJ06cwM/Pz54rRVGKI2dnZ3upUidnZ3TDwNlZp27dujg5O9M1IgLp7U3dunUpf9Wb8KQYyjuVsD8m7eMNwyAkJMTh9+bUjVO8uvZV1p2yVf+qU7oOM7rPoF21dvkyfnEtCMuxaWiXViNwvDNklGuPUWsUZqVelBY6RTaVXUQE2tq16CtWoK1di7h+PdNmpp8fZs+etj9t2uDq7IwrGRNMK44sug66BoZp/7ecEyPDRzJlyxRWXF7Bq51fzdUYDMPgxLGeVA37Gi3hEt5RAdSrrCFL1M5+Jx98QFLr1jgNGYKIicH98GHqDx1KQmBg6t1QRSlmMnvfKS7Svr8CdO3a1eH7tOfz+jqmZF9mf9fpV1en/dmUv+pNiSPXOVPb2WH+lP7nKaXk273f8lbQWySZSdQrU4+Fjy/MdtXL9P9eMiVNtLMLcDr0f4iE1A+Ppnt1rI0+5lRwCTo0KgJVoM6dQ//jD/TffkO7WQ7FRo0wO3e2/WndGic3N0pD0Z0L3iXS/14UNjd7z5FSkpiYyKFDhzKsGLqZ2rVrExgYSGRkJEuXLmXUqFH8/fffDsGhyMhI+vfvT926dW8aYCqsik1gKOUHret6sZtoKEqKr08HcMj5Bt+FBjKyRkfM32yJos2OHdEB87fUkrc6cKD95Ax9dOzYMcPviK7rGBhM2zaND7Z8QLw1HhfdhXFtxvFGyzdwsdx6SWW2XN+DfnAC2mXHMutSc0VWfxqj9ijwbohIHnuRc+IE2ooViBUrEP/8g7BaMzSRmoZs0wbZqxdmr172kqpF9poLikj+jyBXr/dDmgxhypYpBIUGcTn2MpVLVM7VMKTmjOH3EtrhdxFILCdmYjafmbNOevfGumkTlj59EKGhiHPncB46FGPVKigkVSoU5XYobvO1xoH+eFa6ztItk+3Jijt37uzQxuH9N4+vY0oOZPJ3HRgY6PDzSfuzOdB+Mv4bMybUTds+NimWUatGMf/QfACeqPcE3z/8PZ7ZqbiayXNm6vpe9L2voYVttR8yhQtGvbfgnjcQuhudfbL9dHee1YpYtAjt558RgYEZtolJIZAdOmD274986CGoWBFQc6KiJv3rXGGV/j0nZSuZl5eXQ2DoVpydnalZ01ZYp0mTJuzdu5dvvvmG6dOnAxAVFUXfvn3x9PTk119/xckpdT9E+fLl2b17t0N/V69eBaBChQq5v7B8pGadilKEjKzRkUtJmxhZI/XuUE6rNWXWPig0iFfWvsJ/1/4DoFONTszoMYPapXOw+uFmIv9DPzQR7fxfDoelmw+m3whM32HgUibvz3OnGQZi+3bE8uW2gNBotBgVAAAgAElEQVTRo5k2k15eyG7dMHv1QvboAWWK4LUWM9W9q9Oqaiu2ntvK4v8W8/L9L+e6L8P3OSzBUxHWaLTTczAbTADX8lk/MK3GjbEGBWFp3Rpx/jza5s3I99+3VVpRFKVIyE5yaYf3X29vNhpG1qXIlXyXWYW49HOj9Iml0woJD6H/n/05eOUgutD5sNOHvHr/q9n+cJnipvM3aaAdmoB29FOHldVG5UcJ9niRmvd0KtzBxMRExLx56FOnIpJTfaRlNm+OHDAA88knoXLubswoSmFgmiaJiYmAbaVQ3759cXZ2Zv78+bi6ujq0ve+++/jss8+4evWqfQtZQEAAJUqUKDQrrlRgSFEKuYCAgHwp1Z2ZsLgwJu6ZyJKzSwAo716ej7t8zMAGA3M8wckg5jT6kfcRp39FkJoIUbpXx2jwLrLaU6AVwZeg48fRfvoJbe5cxE32BEtfX8yHH0b26oVs2xYKQaUBxVG/e/qx9dxWfvvvtzwFhnAuiek7HP34FwgzHu3EN7bgUE5VqoTx66/oXbogDAPtww+Rbdsiu3TJ/dgURSm0jEUL2ejvT/tJxb/Mc2GT4yBeGn8f/5uhy4YSkRBBeffyzH98Pu2q589WewASwtC3D0K7vN5+SJaog9Hkc6zlOpFUmHO5JCSg/fIL2scfI86edTgl/fwwBw7E7N8f6tQpoAEqSu5NmjSJLl264OPjQ1RUFH/88QdBQUEsXryYyMhInnjiCWJjY/n222+JiooiKioKgLJly6LrOp06daJu3bqMGDGCiRMncuXKFaZMmcJzzz2XZbLrO6UIfipTlLvLpk2b8j0wJKVk7sG5jNswjmtxtuTSzzV5jikdp1DKLY+l0OMuoh39GO3EdwiZlPqcLhUw67+N6Tsc9MLxAphtcXGIv/5Cmz0bLTAww2kpBLJly9QtYvXrF81SsXeRPvf0Ycy6MWw/v51TN07hW9I3132ZdV5GC5mJkAZayNeYdd8Ai3uO+5Ft2mBOnoz+f/9nS0g9eDDWnTvVHVVFUZQCZpgGk/+ZzIdbPgSgVdVWzH98PlVKVMm/J7mxD8uWfojY0wBIoWM2mIhZ93XQnAtvBa64ONv86NNPEecdq8uaXbtivv02sk0bNS9SirRr164xcuRILl++jJeXFw0aNGDx4sV07NiRoKAgdu3aBUCzZs0cHrd//36qVauGrussXLiQsWPH0r17d9zd3Rk4cCDjx48viMvJlAoMKcpdJjgsmNGrRrP57GYA/Lz8+PaRb3mw+oO57zTxOuL8UrTQ3xFXNiJkmpKvTiUx672B6fcSWDzyOvw7a/9+2+qg+fMRN244nJIWC7JnT8zevW1bxMrncPuQkq9yurKukmcl2ldvz6Yzm/jjvz94s9WbuX9y92pInycRZxciEsPQzszFrPVirroyx45FBAWhrVqFuHoV/dlnMVavVvmGFKUYutV2JaXwCIsNY/Cywaw9acuR+FKLl5jaeSrOev6tBhZnF6DvGoEw4gCQLuUwWi1AlsvH1Uj5LSYG7fvv0aZNQ1y65HDKfOghzPHjkfffX0CDU5T8NWPGjJuea9u2LddvUmgmrWrVqvH777/n57DylVbQA1AUxVFAQMBt6TfeGs+kwEk0/6E5m89uxs3ixnvt32NBhwW0rto65x0mRSLO/Ioe9BiWZVWx7HoB7fI6e1BI6u4Y94zD+tAxzHpvFZ2gUGQk4ocf0Fu3xum++9BnzXIICsk6dTA++gjr6dMYixcjn31WBYUKgU2bNuX4Mf3q9wPgtyO/5fn5jTqv27/WgqeDzOWdXU3D+PFHZNWqtm8DA9EmZ0wiryhK0Xe7tokr+TeX2nNxDy1/asnak2txs7jx86M/83m3z/MvKGRa0fa9iWX7YHtQyCzVAmuXbYU3KBQdjfbpp1jq1EF/6y2HoJD5yCMkbduGsWSJCgopShGjbkEqSiFzO7aObTy1kdFrRhMSHgJAz1o9md59OtVKVCM4J/vVrdGICytsK4MurUGYCRmaSPcamNX6YdZ+GVwLR5b9LEmJ2L4dbfZsxG+/IWJjHU+7uiL79sUcNkwthy5GHqv7GK+seYX9l/cTHBac7RLDmSrVFLN8J7QrGxExJxDnlyGrPp67vsqWteUb6tzZlm9o6lRbvqFu3XI/PkVRlCIisxWgOVkV2jjQH8+j4UTrm+zJpXPjp30/8cqaV0gwEqhVqhaLnlhEo/KNct1fBglX0bc+jXZ1k/2QWWMIRrMvQXe9+eMKSkQE2qxZaF9+iQgLczhl9umD8fbb0LhxAQ1OUZS8UiuGFKWQaBzoT9X1Y1lfMZzGgf72Y2m/h5wtPb8Sc4XBSwfTY0EPQsJDqOxZmQWPL2BJvyXZz6lixCHO/Ym+dSCWZVWwbB+EdmGZQ1BIulXFqPMa1s5bsD4UjNnw/aIRFLp2De2LL7A0aYKlXTtbSdU0QSHZuDHGl19iPXsWY/ZsWyJpFRQqNsq6l6WLry258+9H8r6016w7xv61FjwN0pXmzQnZujXme+8B2PINDRkC6XI3KIpSeJRx9sSQJmVyUK5cyVxmK0CzWhWadoVQWGI05+q4EnaL5NK3Em+NZ+TKkby48kUSjAR61e7F1qFb8zUoJMJ3Y1nX0h4UksIJo9lMjBbfFr6g0PXraO+9h6V2bXR/f3tQSAqB2b8/SXv3YixcqIJCilLEqRVDilJIhCVGowuNc7mslJGWKU1m75vN+IDx3Ii/gUAwqsUoJrWfhJeLV9aDMRIQl9faVgZd+BthzTge6VoRs+oTSJ8nkWVagigicWbTRAQE2FYHLV2KSC4zmUJ6eWEOGIA5fDg0bVpAg1TulCfrP8nqE6tZdGQR/9f2//JUjU9W6Ir0vhcRcQgtfDtm2FZk2Vxs00xmjhljyze0ciXi2jX0QYMw1q5V+YYUpRDKy8oUJVVmpeSzovcfgGYY6N98i7FoYZ6e/0zEGQb8OYDdF3cjEExsP5H/tf4fWn7NcZKi0I68h3Z8RurWe9eKGK0W5un94rYIC0P74gu0WbMQkZH2w1LTkAMHYvzvf1CvXgEOUFGU/KRml4pSiO1vNwn/Df5MGpn9CefBKwcZvXo0W89tBaBpxabM6jmL5pWa3/qBZhLi8obkYNAyRFJEhibSuSxm1T62YFC5tiD0HF1PgTp/Hm3OHNuqoFOnMpw227TBHDoU+cQT4FFE8iEpefZo7Udx0V0IDgvm4NWDebsjLARGndex7BwOgBb8GUZeJvrJ+YbE/fcjQkPRgoKQkybZVxIpiqIUN9kpJZ9BRASdNB3MvFXtWn9qPYOWDCIsLozSbqWZ23suXWt2zVOfdlIizi9B3zcWEXfOftgs0xKj1UJwK0TVJ69cQfv8c7RvvkHExNgPS4sF+cwzGG+9BX5+BThARVFuBxUYUpRiIjYplveD3mf69ulYTSuezp5MajeJkS1GYtFu8qtuWvGM3oZlzxfoF5YiEsMzNJFOpZBVH8P0eRJZrgPcrK/CyGpFrFqF9uOPiNWrEabpcFqWLYs5aBDmkCFwzz0FM0alQHm7etO9VneWHVvGb0d+y/NWAVmtP/LQBETcecSFvyEqGErkIXdRmTIY8+ahd+qEsFrRU/INde+ep3EqiqIURmWcPfE8HE50g9I3bdM40J+wxGjKOHvmy0otU5p8/O/H+G/2RyJpVrEZi55YRHXv6nnuG4CYU+h7XkO7tMp+SGoumPe8jVnvDVsp+sLg4kW0adPQvvsOERdnPyydnDCHDMF8802oUaPgxqcoym1VhD7hKcrdKTs5hVaFrOLVNa9yOuI0YEuqO63rNKp6Vc3YWBqIa1sQob9jOfcntRKuZmxiKYGs0tsWDKrQufBMWrLrxAlbmfm5cxEXLzqckkIgu3SxJZJ+5BFwLmLXpuS7fvX7sezYMuYdnMe7bd/FxeKS+840Z8zao9EPvI1Aoh37ArP5rDyNT7Zsifn+++jjxgGgDx2KdccOqJrJ77eiKEoRlp2V0ilb73ObQygtKSUvrniRXw78AsCwJsOY3m06rpZ8yPNjJqIFT0M78gHCjE89XLE7RtPp4Fkr78+RH86dQ/vsM7QffkAkpMkf6eKCOWwY5htvgI9PAQ5QUZQ7QQWGFKWQu1VOoQtRFxizbgx/Hv0TgGpe1fii+xf0qt3LsaE0EWHbEaG/o51bjIi/mKEvqXsgKz9sCwZV7Fb4kh9mJT4esWSJLSCUSZlaWbUq5uDBmIMHqzteioPedXpT2bMy56POM+fAHJ5v9nye+jNrPmf7IGCNQjs9F7PBRHAtn7c+X3sNERjomG9o3TqVb0hR7nI5qdZVWBXkNUwKnMQvB35BFzpf9fyKYU2G5Uu/4spm9D0vI6KO2o9J18oYTT9DVulTOApZnDmD9sknti32afItSjc3zOefxxwzBioXoi1uiqLcVmpGqdwV8nvZ8c3cqcmNYRp8s/sbJmyeQFRiFLrQefX+V3n3wXfxcE7OjyMl4vpuWzAo9A9EXGiGfqTmSoRnW9zvGYqo3Ass7rd97Pnu0CFbMGjePES441Y4abEge/WyrQ7q1g30IpQTSbljXCwuvNHqDcasG8PHWz9mSOMhOOlOue/QyRuz5nPoxz5HmAloJ77GbOCf9eNuRdMwZs+25Rs6exZtyxakvz/mlCl561dRlCIrP5MuF6RNmzY5zJ3SrpTW+w+w5RDy9ETvPyBfrzPuymE+OL0RIP+CQvFX0A/8D+3MPPshiYZZezRmgwnglI0CILfbiRPoH3+MmDsXYbXaD0t3d8wRIzBffx0qFIHKsoqi5KsiUkZIUfIms2XHAZmsKsmr9OVUb8dz7L20l7a/tOX1da8TlRjFA1UeYNuwbXzU+SM8nNzhxj60g/+HZdU9WDa0tn04TRMUkpozZuVHsD4wh4SHQznj8ylmlT5FKygUHY346Sf0tm1xatYMfcYMh6CQ9PPDmDIF68mTGL//juzZUwWFlFsa3mQ4FTwqcCbiDPMOzcv6AVkwa49GCtu9Fy3kG7DG5rlPSpfGmDcPmbxKSP/kE8Tq1XnvV1GUoikigk6xcRCRsVhEUeZwgy0iAjQ9368z/sZpok7b5mhvt3k770EhaaKd+B7L6nsdgkJm6fuxdtmK2eTTgg8KHTuGPnw4lnvvRfvpJ3tQSJYogfHWW1iPH8f86CMVFFKUu5QKDCl3Jb3/ALSvZtnuROWTxoH+rK8YTuPA1JUB6QNF6eUkcBSVEMXYdWNp9VMrdl/cjbeLNzN7zGTzs5tp7GpBOzQRy+p7cVp3P/rRTxAxJ+2PlcKCWbEH1vt+xProeYw2i5HVBoDFM8fXWWCkROzYgT5iBJZq1bC8+CLajh2pp11cMAcOxLp+PdbDh21JEitWLMABK0WJm5MbY1uOBeCjLR9hNa1ZPCIL7j5In34AiMQwtNNz8jpEAOQDD2B+8IH9e33oUAjNuBpQURRFSebtzUZ3N/D2BiAp5go3jq8EJM80fIaJ7Sbmrf8b+9A3tkff8xIi6QYA0qkkRrOvMDoFQqmmees/r44cQX/2WSyNGtlyLxq26m3S2xvj//7PFhB6/30oV65gx6koSoFSgSHlrlDG2RNDmpRxTg6EpLvLpvcfgN6jp+1PLoNFYYnRnKvjal+VpPcfQKfDRxz6SxsIahzozztH/7QHklLGWPVYfOo4sSVG/OvoXzT6rhEzds7AlCb96/fnv2eWMsL1Ks5rm+G0tin6fx8goo+nPg4Ns3xnrM2/wfpIKMaDy5A1BoGTd66ur8CEh6PNnImleXMsbduizZ6NiE5d+SUbNsSYPh3r2bMYv/yCbNeucOzdV4qc55s+Tzn3cpy8cZIFhxfkuT+j7uv2r7VjX4DMWynlFOarr2L2suURE2Fh6M88A0lJ+dK3oihFW1Y3nPJ6vjAo4+zpOFdKF/hJz1i0kI0N6mMsWsjpG6eJOLYcaSbh5OXDNw99g8jtnCEpCm3fG1jWtUQL324/bFZ/GmuPg5i1ngdRgB+1DhxAHzgQS9OmaAsX2iuzylKlMCZOtAWE/P2h9M0rwCmKcvdQOYaUYil9TqEMeYW8vW1BoZRJRPJSZfvXuVDG2dP+nCn9dNJ0MFM/DKbdRx+WGM2NOq4YyYGklDEG6AF0bGdrcybiDK+ueZWVISsB6FCmGl837EjdmH2IwA4ZxiARyHLtkD59Mas8nueEtwXGNG2JdmfPRvz1l0OVDADp6Yk5YABy2DBk8+YqEHSX0/sPoJNh5Dn/hIezB68/8DrjA8bz0ZaPeKrBU+haHrYglmyMWaEL2uX1iJgTiPNLkVX75L6/FEJg/Pgj4oEHEGfOoG3dass3lGYlkaIod5+scg5lJydR+nw/t1tuXr/TVy4zFi1ko78/7SfZvs+s5H2HDh24HnedRxc9ipkUi8WtDN5+PXHWc1GZVErE+T/R972BiDuferhEXYxmM5DlO+S8z/y0dy/6lCloy5Y5HJZly2K+/jrmiBFQokQBDU5RlMJKBYaUYimrUqa3I0ljVsGn9JOfzCYusUmxCF/B+/+8T1BoEP+e+5eyxPNmKY2XK1bAx3oWzv+S4bnNMq2RPk9iVu0DbpXy/drumIsX0ebMsVXIOHEiw2mzZUvM4cORTzwBnkVoG5xye2UShM2NgIAARrQZwWfbPuN4+HF+/+93BjTI23ZTs87raJfXA6AFT8Oo8nj+BDKT8w3pHTogrFb0Tz9Ftm2LfOihvPetKErRlNVrYT69VuarrMaUPJfa6OlJp2zmCsys5H3rB1vz0IKHOBp2FM3Jg9J1e4PFJWdjlRJxJQDt8ES0sG2phzVXzPrjMeuOAS0XgaZ8InbuRJsyBW3lSofjskIFzDFjMF94ATw8Cmh0iqIUdiowpCi3ybFvpvDftf+ITIgkcvc3RJUP5qBIZLHFyo2lz+KbEMnBsIOUPFaS2gfnE5kQSURCBKY0qaRDX0+YXBHauAGYYHUsMW+WamELBvn0BXefArnGfGG1Itassa0OWrnSvvc9hSxTBvOZZzCHDIEGDQpmjMpdIeVO+Sv3v4L/Zn8+3PIh/ev3z/02A0BW6IL0boiIOIgWvgMz7F9k2Tb5Ml55//2YH36I/uabAOjDhmHduRN8ivDrgaIo2WI1rfzrdZ1oJ4kwJfLkWvRSYQihI0wTeWojQggalW9EGfcy2eozv1Zf5qeUcaRdEZRTpjQZtnwY/4T+g5eLF5bavdBdSmBIM9t9iKtBtoDQ1UDHviv2xGj6OXjWzNXY8oPYutUWEFq71uG4rFwZ8403MIcPBze3AhqdoihFhQoMKcVC+q1jma3Gud2sppVt57bxd8jfrDi+guCwYMcGaRfyHD5l+78GoVdsiWPL6fCCFwzydqalS2KmCcBkycaYPk9iVu1boJOQfHHqFNrPP6PNmYM4fz7DabNzZ8yhQ5G9e4NLDu/qKUoejGo+iqn/TuW/a/+x6+Iu7qt8X+47EwKj7utYdtgq3mjBn2HkU2AIwHzlFdu2y+XLEeHh6E8/jbFhAzg55dtzKIpiW1F4J7dY3UxIeAg/7f+JXw/+ysUmaW4YLXwYGqZpuKAHAN4u3izqs4hOvp2y7rwwrihKlraEfU6NDxjP7//9jpPmxG99fuP10M3ZniOKsB22gFDyys8U0usejHsnIys/WmDb2UVgoC0glC4vlPTxwXzzTdsNNVfXAhmboihFjwoMKcVC+q1j+9tNIsBIzdWT3tFrR9l+fjtOuhPuTu54lArDTVpwN3XcrOBy/SRuTm64W9xxc3LDSXPKdNVARHwEa06uYcXxFaw5uYbwuNSS6RbNQsPyDSntWpoSLiXwdvHmyJ4jdOvQDW8Xb7xcvCira9SOO4TPjX8pGbEHgQkkOjyH9GqA6dMX0+dJKFEn//7SCkJCAmLZMrTZs9E2bMhwWlaujPnss7bJTM0iHvhSiixvV28sJWvA1SM8vOZVLg/9N0/9SZ/+yIMTEHHnEBdWQmI4OOdT0FoIjB9+QNx/vy3f0LZtyHfftZUcVhQl32SWeye3waJEI5G+f/Ql8GwgFTwqUMmzEhU9K1LJs5LD114uXpyPOk9oZChnI86y99JegkKD7P2UsTpTKtGNEoDpWwNOnEAKkBJM3+rciL/B+ajzPLzoYb7q8RXP5e2voEDlNij39a6vmbZtGgDf9vqWTr6d2O/bKcNWswyu70U/PAntYrptWZ5+GA3etVWdFHnIQZdbUqJt3Ij+0Udo//zjeKpGDYz//Q85aBA4F9yWNkVRiiYVGFIKnN5/gD0XT34uXU4/iTClyZoTa5i5cybrTq1zbNzQ8Vu+rufwrSY03J3ccbO44e7kjqvFFSfNiaNhRx3KWpd2K02PWj3o5deLbjW74e2apkKGlGx3nUfL6hoifBcibCfi+m6EzFgWW3rWtq0M8nkSvIvB9qkjR9B++gnt118RYWEOp6SuI3v2tOUO6t4dLOplScmCtzcbDSPb+SZyQ5SqBVePcOPqYaymFYuWh3+XmhOmT1/0Y9MRmIgrAciqT+TfYEuVwpg/35ZvKCkJfdo05IMPIpMrlymKcnvkNlHza2teY/WJ1QCcunGKUzdOZfuxAkG3mt0Y2mQoD9d+mCmTpzApeYuV3qOnrZCGaWB8sIp4azwvrHiBhYcX8uLKFwnxrc4HZ+oUi5LEWa0g6tChA8uOLeP1dbbqkJPaT+KZhs/culMzEXFhOdrJHzOuEPLwxaj/f8hqT0Fe3g9yS0q0tWvxe/ddnA8ccDzl54cxbhxy4EC1WlRRlFxTn8CUAuFwly2lIlguq4FlJSohijkH5vDV7q8ICQ8BbBOrB6s9iJPmRKw1lvj/DhGnm8RqBnGaQayHM3HWOMzk/eemNIlOjCY6k2TWdcvUpVftXjzs9zAtq7ZM/QAZfwlxIRARvhMRvhsRvou2SddhR+bjlB6+qSuDvBsX/UpbMTGIP/6wrQ7aujXDaVmzJubQoZiDBkHlygUwQKWoSl+B5nZw9vJBs7hhWuPYeHoj3Wp2y1N/skIXODYdAO3SOoz8DAwB8r77MD/6CH3sWCBNvqFq1fL1eRRFyZvv9nzHD/t+QCD4uffPVPeqzsXoi/Y/l6IvcSn6EhejLxKZEEmlEpXw8fKhmnc1fL196enXk2re2fu9drW4MqTEEPza+vF+0Pt84nOGELc45hytT1HfoJ1VQM6jjgePzXsMU5oMbzKcca3H3bxxdIgtGHR6DiLhqsMp6eaDUf9tZI3BoBVQ0GXvXvQ330QLDCTtOiBZty7G228j+/VTN9UURckz9Sqi3HGNA/3xPBpOtL4pYyWvXMpQKh44cf0Es3bN4uf9PxOVGAXY9toPbTyUEc1HULNU6lYl+102sN1pW70KKSVJZhKxSbHEWeOITYol8N9AGjZtSGxSLPEB69i55Qjv1B6IfLAb4voexLHPbauBwnch4kKzHLf09MOs/AjS50lkqWJQdl1KxJ49iNmz0RYuRERFOZ52dkY+/jjmsGHI9u1BKw73LZXiSGg6rmVqE3v5AAsOLch7YKjcg0jNBWEmIC6vt+31yOffd3P0aFvOiaVLEdev2/INbdyo7iArSh41DvTHs2I4P64fa89lmBtBZ4N4be1rAEzuMJmBDQY6nA8ICKDjI/mbx2jz5s1MmjQJv9J+vLBkKH+VvULHxnEsjr5IJc90VUzvwGrMDG7Dc4aEh/DYb48RZ42jZ62ezOgxI0M6gI7tWyNCf7MFhK4EZOhDetTErPMKpu9w0AsojHbxIvqECYg5cxBS2g+b9etjjh9vq9B6J39WiqIUayowpNx26RNDhyVGc6OOK0bK6ptMJgU53befMkmTUrLh1AZm7JzBqpBVSGxvpHVK12H0faN5puEzeDpnUuY8ZQzR0fby8kIInHVnnHVnSlISgDk75jC059MQcQjtwapUTFyJ7vUeLHkagczYbxrSpQKydAtk6fuS/zTPvzwjBe36dbQFC2yVxdItcQaQDRpgDh+OOXAglMledRRFuZW8JCLNLrcydYm9fIClx5YSmxSLu5N77jvT3ZDlHkRcXo+IPQvRx6BE3fwbLNjyDX3/PWL/fsTp02jbtyPfeQdz6tT8fR5FucukzFv05K9zIzQylAF/DsBqWul7T1/eavVWhja53Zpml24+lRLQWhLoz/52k/CdPIM+DQ6wq0QUbX9uy1/9/qJR+Ub2h9+J1ZjgOMfL7+cMDgum96LeXIu7RrOKzZj3+DzHrcBRx9BOzqZL1BzEtmsOj5XCCVmlN2bN4cjyHUEU0M2ruDi06dPRPv4YERNjP2zWqsXZESOoOGoUugr4K4qSz9TteuW2S58YuoyzJ1WPxdtX9xiLFrKxQX2H/EKbNm3K0XPEJMbw/Z7vafJ9E3ou6MnKkJVIJD1q9eDvAX9z4MUDjGg+IvOgUNoxrF7lmOdImhB1DHFmHov+bsXAuj9iLvbGaX1L9D0v07zUQUTkfxmCQtLiiVmuPUbdsVhbLSSpVwjWR85itP0Ls/54ZMWuRT8oJCUiMBB9yBAs1aujv/aaQ1BIenhgDhuGNSgI6549mKNHq6CQkm8cPjx5e7PR3c0e1AXbB4+8cvKshObiRXRiNMuPLc9zf7JCF/vX2qV1t2iZByVLYsyfj0z+0KB//jlied7HrihKqsaB/lRdP5b1FcNpHOifZXuraaXf4n5cib1Co/KN+L7X9xlWsOj9B9Dp8BFb3sVcSj+fCkuM5lwdV/v8q21kSbbuf4C6se6ERobSYU4HVoWscujjTgTd08/x8us515xYQ9uf23Lyxkl8S/qypN8S27zPiEecXYC+qQtOq+9FPzYNkZgaFJKefhiNPsT68CmMVvORFToXTFBISsSiRVgaNkT397cHhaS3N8bHH5O4Zw8RXbuq1daKotwWasWQcsdlVjEs7aRA7z+AToZh2951k4TUev8BnEy4xJrKMazqWJVNpzcRk2R7A/V09uTZhs8yqsUo6h15imcAACAASURBVJTJfhUv+xjiLqKdW4y4uNK2JSzpBgDPAGRyg0YKC7Jko9SVQKWag1e9gqlWcSdcvow2d65tdVBISIbT5v3327aKPfkklChRAANU7jaZ3XHO8513bKsGXcvUIfbCLhYcXkD/Bv3z1J9ZsSv6AVueC3F5PdQenaf+bka2aIE5dSr6mDEA6M89h3XHDqhe/bY8n6Iot7bg8AJ2X9xNSdeS/NH3DzycPTI2ukOl4mvFu7NlXwv6DtTYdGYTj//2OJ93+5yRLUaClHR8oBbEnAZE8nZXLfn/IjlYku5r+/+z0za5TTp5fa2WUrJd387U36ZiSpPWVVuzqM8iKriXQTvxPdrhyYiEy46P0ZyRVR7DrPkcslz7At/KL3bsQHvjDbRt2+zHpK5jPv885oQJULYsGLf334aiKHc3FRhSbrsyzp54Hg4nukHqCpn0k4CsJgV6/wHERoWzqXIiq/s1ZW29tRx3SV7OfXw/ADVL1mRUi1EMbjTYsRpYdiSE0an6CbRNHyKubr7ltrAQrSQ1qz6ELN2C7xbv47k3Z4LumrPnK2oMA7FuHdqPPyJWrEBYHSupyVKlMJ9+GvP/2Tvv8Ciq9Y9/ZmY3vQeSUEJCCCR0UFCQoqCIYrs2QLFgr1fvvdxrQa+B608sF7GgV8UGogIW7AiidBBBBKSGhEAglCSk1y0z5/fHZDe76b0xn+fZZ3fOmT1zJrCzZ7/zvt/3jjtgYMUSbwYG7Rev0DiKT/7OTyk/cab4DJ18OjV8sIABCK8IpNLTSBnrQLU0m3eF9tBDut/Q11+7+w0ZJYwNDBqNI309YWMtJc8Bm2pjzqY5APxr5L+IDopu1rnVJfom2G7m+6nf8PDKh1m4eyGP/vQo3umruEtOQi5Matb5AcwZAHz+PMIhJMke4BmG8AoHrzCEdzdEp1F6lKVnzdfcUnspD/74IGtMa0DAHYPv4PVLX8Mr82eUTTORCg667S/8+6DF3I0WdUutY7cIx4+jPP008pIlbs3axImoL74I/fq10sQMzkaEENhLSrDk52MtKMBSUOB8bc3Px1JYqD8XFOj9Lvs5t8v2mfzNN0SOGtXap2RQDwxhyKDZ2T12Ngm/1L54cuB697/IWsTyPYtZGrmODUG5WGQNft8CniALmVE9RnFpr0u5NOZSBocPRq5P6K8tH+nEN8jHP9d9P6oqG+8V4YwEujdtP0cPe3GqXxd2n6+fS6/z13ZsUSg1FXnhQuRFi5DS0ip1a+PGod1xB+IvfwGvDvx3MGjzNFf6g8k7hCHhQ9iVvosvD3zJfefe1/DBJAkRfglS6sdIajFS1q+IsIuabK4Vj6UuWKD7DR05grxtm+439NJLzXM8AwODKvlk7ycczjlMZ5/OPHDuA81+vLpG33goHmz1i2BSQH8e89/HhcUrmnlmlZHQQABqCRSnIhWnlncefgeBhAg+FxFxKSJiIiJkuFup+FOFp7jxixvZdnIbMjIvT3iZh2LOR9l8JXLmBrdjad3+gtb7r4hOo1s9OgiAwkLkuXORX3kFqaTE2Szi41Ffeglx2WWtODmDjoZqs5F/7Bi5R4+Se+SI/jh6lIK0NErz8nThp0zYEZrWJMe0NFO1aYPmwxCGDFqE+vxoE0KQJqVx/4r7+Xz/53pFsbJgox5Wby49bxqX9rqUXz/9lRdvraepqr0Y6dQPyMc/Qzq1EkmzVD6+Xyxa5I162fiA/s4FxNt9Ya3JPQWuseHPbRKrFem775A//BBp9Wq3ShgAIiIC7bbb0KZPh9jY1pmjgUEFmvOzeNOAm9iVvosl+5Y0ThhCTyeTUz8GQEpf3XzCEEBQEPYlSzCNHYtktaK8+ipi9GjE1Vc33zENDDogjsjn1N4ebtVPa8OqWp3RQv8c+c9qfQ5bheJjPJv7FTeEJ7o1/2n3JjZyAl4mTxAa+/bto3+/voCmV1NE6P6LiPLtSm2a23Nebg6BgQGAYEfuEfTEMsGQgEhAQ1JLoTTDzfeHsn2knN8h53c4MAdhDkKEj0eLmMge1Z+rV8wgrfAUwV7BfDXpFcbk/oi85u9uY2ihI9EGv4gIHdE8f8f6omlIH3+sVxs7edLZLEJD0Z55Bu3uu41Kkgb1RmgahadPk3v0KHlloo9D/HEIQE0l+NQVS4XKxAZtH0MYMmgQ9a0aVpd9TxWe4pM9n7Doz0UkeiTCLr09JiiGWwfdysmfT/JGwhtOw8bAi+qYLqZakNJX62LQie+Q1KJKuwjvSF0M6jEZgoZWezepQwpBDg4e1KODFi9Gysx06xKyjLjsMt076PLLjUWLwVnF5H6TeeKXJ9iStoWjuUcblQoiwi52vpZP/4w28LkmmGENnHMO2ksvofxNL5Ht9BuKjm7e4xoYdCCc3oj1XAN89OdHHM07SrhvOPed0zhRuSFUlcqP2Y404DCmHwdwg1bqbC7xiuT+k/l8lJXH+dZ0Vk9bje+06aSrcfT/Ir9az8e68N+EBGaXecBd+fMMFElGFRppl7zsvqNmA0smUv5BpPSfkE+vRsrb4+yWbLlIacuR05YzFEgMh+TOXkR3HY7/vnuRNKtzX+EXizrw/xDdrm0bEUKAtGmT7iP0xx/ONmEyoT30ENrMmRAc3IqzM2jrlOTkkFdB8Mk7epSclBTyUlNRLZVvdrcmVkMYancYwpBBvUUeqGzs6jpGxfL0NWFVraxIXsHC3QtZdXgVqtCN9czCzJRBU5g+aDqje4xGlmQSVie4VfGocc6aHSlzHfKxz5BOfO00kHZFeIahRd6AiJys30lySUNznANQp/NotxQXE/ztt3isXIm8ZUulbhEdjTZ9Otrtt0O3bq0wQQOD1qebfzcuirqItalrWbZ/GY9f8HjDB/MKQwQNQcrdhZS7E0ozwCus6SZbBdoDD+h+Q8uXI+Xm6n5Da9cafkMGBvWgvuski93C85ufB+CxkY/hY/ZpjmnViFsqv2aH+DSkc1KQvG1QFjyQLXkx1+s8Zk/6kcdyjvDdojH8duI37vn+Hj7Jy2W8bAJZgSZKC6lSrHIgm8G7K8K7qx4ZNOgFKDmBNe17so98SkjeDnwpF398ZBgkl0LGT8424RGK1u9ptF736N5FbYEjR1CefBJ5+XK3Zu2qq1BfeAF6926liRm0JWwlJbrw4yL6OESgvKNHKc2t/FumuZHNZjwDAvAMCMDDzw+PgAA8/f3x8PfX2/z93bf9/PTngABCjKyCdochDBk0SfUe1zEqlqevir0Ze1n05yI+3fspmcXl0Skjuo1g+uDpHPrqEC9c9YLbe2pNRxMa0pktSMc/06uKWTIr72IORnS/Fi1yMqLzWLdcdVcc5+B43eHYuRP5gw8wLVlCj/x8ty7h4YG45ho9OmjcOKMsqsFZgbMa4pSpVd4Vv2nATaxNXcuSvUt4bORjjTqWFjEBJVcPiZQyfkH0uKlR49WKJKG+8w7Srl1IKSnI27cjZs5Emzu3eY9rYHAW8+HuDzmef5yufl2555x7Wm0eF114IdKpFSi7n0AaVZ42JmQP/mfuz3zv88mRzMyWzfQJ7cPS65ZyxdIrWLZ/Gf17xPBUmv7jLsdk44W1M/l0z6f0DOrJlX2u5IrYK4gLjXO7aVcbdfWdPJR1iJWHV/Jj8o9sPL4Rq2pFBoZ7wWW+Jq7vEkt/kw2pKAUJgZC90Pr8FS3+MTDXswBJc5Gfj/z888jz5yNZXaKZBg5EnTtXX2MZnDVoqkpBWlolnx+HGFR46lSzz8EzMJCg6GgCo6MJ6tmToOhovENCnGKOZ5n44xB6TJ7NUyDDoG1iCEMGbtQl2mfwhgT8IrL5ekMCu8fOrrRdHbmluSzbt4xFfy7i91O/O9sjfCOYNnAatw+6nfhO8QCszVlb6f1VildCIOXs0MWg458jlZyovIvJD9H1arQek/UKF23lDlJLk5eHvHSpXmZ+585K3aJvX7Q770SbNk0vi2pg0IGpdK2rpVT0tXHX8teVf2X/mf38mfEnAzoNaPCxRfgEOPhfQE8nU5tbGAIIDNT9hsaM0f2GXn8dMWYM4pprmv/YBgYdlOpuWJXaS3lhs35z64lRT+BlalhxhoZEdLuRu4tLlBeRN7mvqURKGPaHN/KfX9/Qb4KJcu+RcdHjeH3i6zz444M8E51CD4sPGR5Wnu+eQs6vuqHzycKTbE7bzJNrniQ2OJYre1/JFb2vYFTkKEzV3HBzpbq/mxCCRX8u4qUtL5Gck+zWFxMUw+Wxl3N57OWM7TEWL5MXKoC9EAqSwDcKPKqIQmoNVBXpww9RZs1CyshwNouwMNT//Adx++2gKK04QYPmQAhBcWamU/ipmPaVf+wYmr1yoZumRPH0JDAqyin6OESg4JgYAqOj8TbSFQ1qwBCGDNyoS7RPVe/J7eOF6pJ65QgT1oTG2qNrWbh7Id8c+oZSu57PbpJNXBF7BdMHT2dir4mVFhK1LoTy9iAfKxODilIqdQvZC9F1kh4Z1OVyULzrfD6Oc8iyFhKVZK063Lm9IATSli16mfkvv3SrfAEgfHzImTAB37/9DfmCC9pMHr6BQXNT32tdoFcgk2In8VXiVyzZt4TnLmy4N5AIHYlQfPTKZOk/6yatLfHZGzoUbe5clEceAcr8hgYNgp49m//YBgYdkOrWKu/tfI+ThSeJDIjkjsF3NHj8Bkd0CxV5/xzk/c/plb8czVkhbN/Zn2G5ncG3+s/93UPv5uCZg7y+/XWmx+11tvfr1I+nRj9FZnEmPyT9wLrUdSTnJPPqtld5ddurBHkFcVmvy7gi9gom9ppIkFdQleNXdU5p+Wk8sOIBVqWsAsAsmxnTYwyX9bqMy2Mvp09In6ojk0x+EDy0rn+ZZkf65ReUf/0LaW/53014eqI98gja449DQEArzs6gsVgKCsrNnR2PlBQ98ic1FVtRZR/TJkWSCIiMdBN9ghzRPz174hcRgWRE+hs0EEMYOsupLX2iKq+d2sKAd4+dzaO/PEpIf5k+b/bhWP4xZ1//zv2ZPng6N/W/iTDfevpqFCQhH/9cN5HO31+pW0hmRMQEXQzqehWY/es3foVzAEjYWHu4c5skIwP544/16KBDhyp1a8OGod15J/brr+f4qVPExcUZopCBQS0MFAP5iq/4bN9nPDv22YYPpHgiwi5COrUCqfQU5O+FwIFNN9Ea0O67D2n9euQvv0TKy9P9htatM/yGDAyaiGJbMS9teQmAJ0c9iaephVMxSk6i/HY7cuZ6Z5Pw7Yk68DlE9+v5etYshr5T+7rmxYtfJGnlJ/wYmkVkqRezU2O46YkdKLIe6fLgsAfJt+SzOmU1PyT/wI/JP5JVksXSfUtZum8pJtnEmMgx7Jdlgjv5sWTFvSwf9gieJk+8TF54Kp76w+TJZ/s/Y8bqGeRZ8vBUPEkYm8C959xLgGc7ElESE1Eefxx5xQq3Zu3661HnzDEE+HaCarWSl5pa7vPjKgIdOUJJVlazz8G7U6dyscflOTA6msAePVCM72uDZsIQhjogjQ49dqE6r52qwoCFauOTvZ+waPci1nmug016e6BnIFP7T2X64OmcE3FOvXLRUUuRUj9FTlmAnPNHpW6BjAgbp6eJdbum7YQRtwaahvTzz7oY9N13SDabW7cICkK7+Wa0O+6AwYP1RlWFFshpNjDoCJTsKSEoMIi0gjQ2Hd9EOOENHkuEXwKn9B8Q8umf0VpIGEKSUN9+W/cbOnwY+fffEU88gTZvXssc38CgHVCfIhoVWfDHAk4XnSY6MJrbBt3W4DlUd+OupjWedGolyrY7nWXfhaSg9XsKLe5foNRPoFJkha/2D2JLYAHnFwTipYIqu6c/BXgGcH3f67m+7/WomsrWE1v5Pul7fkj6gYNZB1mbqqewpQPsgnN2LazxmMO7Due9K9+jb6e+9Zprq5Kdjfzcc8hvvYXkkiaknXsu2ty5iFGjWnFyBhURmkbhqVNukT6uZs/5aWl6FG8zYvb1LY/4KYv0cY0A8vRv+I1tA4PGYAhDHQxlylRkVUV5+x3nQqKmRYS6bClrEhK4sKyMaI3VIlxwjCeEwMeSR9GB7WSpKdyx420AJCTGR4/n9sG3c02fa/A21y+VC0smcvLbyIffrtJEWgu9ANFjMlr368Aron5jdzSOH0detAh50SKk1NRK3drYsWh33IG47jrwrue/g4GBgRMTJq6Lv44Pdn3A0n1LeTTm0QaPpYVfguMnlpS+GuL+3jSTrAuBgdg//bTcb+iNN3S/oWuvbbk5GBi0YRqSVg9QZC3iv7/q/mEzR8/EQ2nEnf1qfM+qTC/TrMh7nkE5VC7wCu/uqCMWIzpVL0zUtuYzC5kL8x19VfuvOVBkhVGRoxgVOYrnxz9PcnYyPyT/wMxtr6FZChCanRCTNxbVgkW1YFXLzZi9TF48Pfpp/jHiH3XyKGoT2GzICxYgP/ssUna2s1l07Yr67LOIadOM4h2tgBCC0pycqg2ejxwh79ixZi/rLptMBEZFlad5VfD58enUqX43yQ0MWoh2cvU1qDMVFhJ1EYpco38qpolV57WTXpjOJ3s/YeHuhRzNOuhsd9whu3XQrUQFRtV//gWJyIdeQz76MZJW6tYlgoai9ZiCFnkD+PSo/9gdCZsN6Ycf9OigVauQKtzdEGFhaLfeqkcH9enTSpM0MOh4TO03lQ92fcBXiV/xQNQDDR/IPw7h0wOp+BhS5kZQS+rthdYohg5Fe/lllL/+FQDl3nuxDx4MMTEtNwcDgw7GWzveIrM4k17BvZg2YFqLHPPyMfEoa8chZ293tmldr0Qd9i54htb43rpWCKtIXSLTY0NiefS8R/lv/jEUSUYVGmmXvOzsF0JgVa2U2kud6WXtAiGQfvwR5fHHkRJdqrx5e6PNmIE2Ywb4+rbiBDs+tuJit2pebj4/R49iqVBttznw69LFLcXLNerHv3t3ZMNc3KAdYghDHY3AQNaoKuMdF6QKQtHgDQn4HcymUFnnDI+u6cvdsc9aZS2jR43m20PfsnD3Qn5M/hFV6GN6mby4Lv46pg+aztioschSPe+QCIGUuQH50CvIp9xzs4WkILpfh9bn74iQYfUbtwmornJGq3HoEPKHHyIvXuxW6QJAyDJi4kQ9OuiKK8BsbqVJGhh0XMZGjaWbfzdOFJxgU/omBvZrYAqYJCHCL0E68gGSZkHK3ISImNC0k60F7d57kTZsQP78c91v6OabUdevB6M8rYFBvSmwFPDyVl34mDl6Jmal+b+DpbQvGV34CJItD9C9FrXBL6DFPtxsvoFVrSMbgiRJeJo8W96DqTHs3av7CK1e7dasTZuG+uyz0L17K02sY6HZ7eQfP+7m7ZPn8rooPb3Z5+AVFFQe8RMT4xb5ExgVhdmIwDfogBjCUAdDXbYUbe1aVIfYU1EoqgMVxZB9mftYqa3k1vm3klFcLkac1/U8pg+ezo19byTQK7D+k9VsSGlfoCS+ipTrXj5dmPzRYu5Ci31IL0HaSjSVV1OjKClBWr5cF4Q2bKjULXr0QJs+He322yEyshUmaGBw9iBLMlP6TWHeb/NYkbaCB2h41JAWfgnykQ8APZ2spYUhJAn1rbeQdu5ESk5G/uMP3W/olVdadh4GBi1AU/ovVsUbv79BVkkWvUN6c1P/m5p8fIfvUVSElR/Xz+R3v3yUlAXOfuHbC/vITyD4nCY/tisVK9GeFWRmIs+ejfzee0haeZU3beRI3Udo+PBWnFz7QwhBUUaGLvZU4fOTd+wYQq05dbGxmLy8nGXd3Sp7lT17BVVdUc/AoCNjCEMdENeFT0WhqC5hw+PGjSOvNI/P9n/Gwj8Xsv1keXhymE8Ytwy8hdsG3Ua/zv0aNkFbHnLK+8hJbyCVpLl1Ce9ItN4Po8XcCeYGiE0dib17kd97D/nTT5Fyc926hNmMuOoqtLvuQowfD0bIqoFBizF1wFTm/TaPDac3kGfJI8SnYab3Inw8AhkJDfn0arTBTTzRuhAQUO43ZLGgvPkmYvRoxPXXt8JkDAyaj/qUfq+r36KDvNI8XvlNF1SfHvN0s/jkOHyPvHoV82HWFygZ5dWRtMjJqOf+D8y1V/GqePOvzUVGtyUsFuQ330SeMwfJJT1JREWhzpmDuOEGo6JrNVjy853+PpV8flJTsRUXN+vxJVkmIDLSzefHNfrHNzzcKOtuYFABQxjqANR2F6w+d8j2Zuxl7ta5LD+4nFK77vGjSAqTek9i+qDpXNbrsoaHR1sydf+g5LeR7O75v1rwOWh9/obofj3IZ3EKlMWiRwctWIC8eXOlbtGnD9pdd6FNmwZhYa0wQQMDg8Fhg4kLiSMxO5Gfj/zM5P6TGzaQRwgiZBhS9jak/H1QchK8uzbtZOvCkCFo8+ahPPQQAMp992EfMgR69Wr5uRgYtBKua6n6eu+8vv11cktz6dupL5P7NvB6UAdutOzn+aK1+KBXvxKKN+qQVxA976izQFFxTdgUUVTNHY3V4giB9M03KE8+iXT4cHmznx/a44+jPfooeLUTT6Rmwm6xkJea6pbi5SoAlbgYcjcXPp07u1f0cnkd0KMHimGpYGBQLwxhqJ3TkFzvqu4OFVoL+b+N/8dr215zegf17dSX6YOnc3P/mwn3a3hZZorTdP+glPeQ1BJns0BCdL1C9w/qNPrsvuty5Ajyu+/qlcUy3auwCW9vxA03oN15J+KCC87uv5OBQQtRU8SAJElc0vMSErMTWZ+6vuHCEGVl67O36eOm/4yIbnh568ag3X030vr1yJ99hpSfj+nmm7Fv2GD4DRmcNdQnosiVnJIcXtv2GgD/HvNvFLkZInjthcwv+onJVhez44C+2Ed8CoH9m/549aCqIiftFiGQVq1CnjMHeevW8mZJQtxxB+qsWRBxdlTC1VSVwpMnK0X85JT5/RScPNnsZd09/Pyq9fkJio7Gw8+vWY9vYHC2YQhD7ZyG5Hq7LnyEEHyd+DUzVs8grUBP67qmzzU8dsFjDOsyrHHlFAsPoxyci3T0IyRhKz+m7IGIuhU17u/gfxZXzFJVpJUrkRcsQFq5snJlsb590e67D+3mm8HIdTYwaFFqixgYFz2ON3e8ydrUtY06joiYAAfmACCfXo3aSsKQ02/ojz+QkpORdu5EfuwxtNdea535GBi0E17d9ir5lnwGdB7AdfHXNf0BQgowrT6fydYkZ9PHHv2YcvEWMPk0/fHqS4UiJ+0SIfRKr889h7xjh1uXdtFFqC+9BEOGtNLkmgchBCXZ2c5IH9cKX3lHjpCbmopms9U+UCOQzWbd58dF7Anq2dMZBeQdGmqUdTcwaEEMYegsJiUnhb//9Hd+PPwjAD2DevLqpa9yeezljRs4fz/KgReRji1DotykTyjeaDH3oMX9Hby7Ne4Y7Zn0dN1I+v33kVJT3bqE2Yz4y1/Q7r8fMfosj6IyMGggypSpjFdVlClT630HWwiBrbhY9z/Iy+PMgQPObfnwYQ4uX46tqIjgvDNcsEXCZEvmm8N/xVs1YSsq0vctKsJWUlK+Xfawl5biGxZGSGwswWWPkJhoOmf7ERhUiJT+CwgN6lvZsanw98e+ZInuN1RaivLWW4gxY3QfDQODDszgDQn4RWTz9YaEelXayirOYv72+QA8M/aZ+ldlrREB8ceQhh9CKtTXUgV48JjveJZ79GZKWxCF2juahvTttyhz5iDt2uXWJfr3R501C3H11e1yLSaEoPjMGfKPHSMvNZX848fJO3bMTQCyFhQ0+zz8u3Vz9/kpM3sO7tkTv65djbLuBgZtCEMYOgux2C3M3TqXF7e8SKm9FLNs5p8j/8kTFzyBt7kR5Rdz/kA58ALyia/dmoUpAC32frTej4DXWeqLk5ODtHkz8pIlSF9/jVThLozo0QPt7rvR7rgDwhuRtmdgcBajqSq5R46QnZyMv9XKZrsNy6xZ2EtKsBYVYS8u1p9LSrgm7U/MFjumUhtvyt9iO3kSm6pi0zRnhJ4nsOB//3OObwaWf/aZc/vSsud9a9+p8xxLc3LISkys1K6YIDjsDMHvXkJwv2G6eNSrFyGxsQRERracSebgwaivvILpAb3amtNvKDa2ZY5vYNAKVBV9XRdT5nm/zaPQWsiQ8CFc0+eappuQNQdp/B6knuWp5buUMB70u5yjSpAuIBs0HE1DWr5cF4T27nXrEoMGoT71FOKaa6ANmxOrNhsFJ06Qd+yYLv44no8fdwpB9pKS2gdqJF7BwW4VvVx9fgKjojCd5V5MBgbtCUMYaueEeviRZS0k1KNueba/HPmFv676K8nZyQCMjx7PaxNfIy40rsFzkM5sRj7wAvLpVW7twiMUrfdf0WIfBI+zLBUqPR1p0yakTZuQN26EPXsqp4pJEuKyy9DuvRdx2WVGZTEDgzpit1jIPnSIMwcPknXwIGcOHuTMgQNkJyWhWizuO8+ZU+UYrjGLeeQ032TriGqHMyfhzMlN8NMmtz7F05Ognj0JiY0lpHdvgnv10qONYmMJ6N69yUUjceedaOvXIy9dilRQgOmmm7Bv3HjWm60adCwaW7gjoyiD//2uC8fPjH2m6VJewvIwrT7PTRRSez/CVZl21LO5OEdToKpIn32G8sILSAcOuHVp55yD9tRTiCuvbBMRQtbCwkqiT25qKqcTE/klM5PCU6cQWvMLhCZvb2dZd1ejZ4cI5BV4llcQNjDoQBjCUBuntoVLXUOeTxac5LFfHuOz/frd7gjfCP57yX+Z3G9ywxYzQkM6+R1y4jzkrF/du7y6oMX9HS3mbjCdJcZwqalIGzcil4lB0qFD1e4qOndGmz4d7e67oWfPFpykgUH7wlJQQFZiIlkHDjjFn6yDB8lJSWmRBXFbQbVYyCoTwSqieHoSHBPjnp5WFm3UYNFIklDffBNpxw6kpCSk3btR7r8f9cMP28QPJgOD+lJVemlDzaYdzNs6jyJbEed2OZcrYq9oglkKGHAE6dxkqwNmlAAAIABJREFUpGL9RpIoNSM29kW7cS7Wn2fQHm4fDd6Q4LxhWZ+0vGbFbkdaskQXhJKS3Lq0885De/ppxMSJLXZ9E0JQnJmpp3a5pHnlp6aSd/w4+ceOtUhVLwBJUQiIjHQzdg7u2dMZ+eMbHm74/BgYnCUYwlAbw1UIclQcS1W/d37BKlOmQl4eBAbWyTvDrtl5e8fbJKxPoMBagCzJPHjugySMTSDQqwEqv1qKlPoxSuIrSIXuX67CJwot/l9o0beB0oHvLAsBhw45o4GkTZuQjh2rfndJgsGD0caMQYwdq0cHGZV+DAycFJ85Ux79UyYCZR08SP7x4609NUAXXzxUFbOiYFYUTH36YPbxoURT2ZK3HYtJ45rBN9IppAtmHx/94euL2ccHDx8fTD4+ePj6IplM5B87RnZyMjnJyeQcPkx2cnKjfB5Ui0X/m1W4+w1g8vIiKCaGkF69CO7d2y09zb9bt5pFI1e/oZIS5E8/RfTujfbUUw2eq4FBq1HBILmhnkIOThee5q0dbwGQMDah8T+c1VKkS/5EijrjbBJnQtm05VxGWVvxBltgIGtUlfGFhVDHyJAsayGKJJNVj6IozYbNhvTJJygvvuhWdh5Au+ACXRC6+OImF4RUm42CtDS3iJ+8Y8d0AciR5lVa2qTHrA5JUXSfnx49CIiMJLBHDzefH//u3Y2y7gYGBoAhDLU6FSOCXO9gOXLelbLXgC4KyYr+XAvbTmzj4ZUPsytdN9Qb3nU4b1z2BkMjhtZ/otZs5MPvICf9D8mS7tYlAvqhxv0D0eMm6IhhzqoKe/bo0UAbNyJt3oyUkVHt7sJsRgwbhhg1SjduHTnSqCpmcNYjhKDgxAmyDh4ksyzyxyEAFWdm1j5APfAxmwnx8cXbpKBcdBEevr66OOMi0sw6thLV2wOrh8L7I+7Hc/ZszCYPzBIoiz/C5OPDf195hYTnnkNWFJTLLtevvZqKuvJHVFUlMTGRL/54lPXH1jNu4lhuOve+Bv1dijIyyFvxMLk7viErHbLso8g+UUROcjLWwob/uLKXlnJm/37O7N9fqc8pGrlGGZU9+3ftqotGgwahLlqEMmUKkhAos2cjevVCTJ3a4DkZGLQFGlLR1YFNtXHHt3dQYi/h/G7nMzFmYuMmo9lQtk5zikJCgNbvCbR+z/Dj6WcZMbv1om7UZUtZk5DAhY2YQ30tD5oEqxXpo49QXnoJ6ehRty7twgv1lLELL2ywIGQpKKg20ifv2LEWKeXuwOzjQ0CPHgRGRTmFn8AePfS2Hj3w79oV2WT83DMwMKgd40rRyjQ2lLkqskuyeXrt07y/630EgiCvIJ676DnuGnpX/StmFKUiJ72OnPIBklrk1qV1vhAt7h+IiMs6VnqB1aqXbHakhW3ejFSDECe8vREjRiBGj9aFoPPOAx+jWojB2YnDALpi9M+ZgwebvAKKf/fudIqPp1PfvoTGx9MpPp7Q+HgCbr2tXMRZsqTK9+79+SSKJKMKjdhLJqG8Pr/8PY4UT0/PWiumjIsax/pj61lzdA33NUAYkiQJv/Bw/C+9lWi/bwBQY4egDX3FKRrlJCc7o4xco42aTTTy9iY4JkYXinr1IuQvf6HTV18RCvjdfTdaVJQueBsYtFHqm84U6uGH375sCvuH1LifEIIHf3yQX47+gq/Zl/mXzW9ctJDQULbfjXzyO33TpiB+Hog2+T8NH7OZqevfykGLppOVliIvXIj83/8iVYg41S6+GG3mTMSYMTUO4bjuOqp5uUb6OF6X5rScL51P587OaB//yEgsXl7EnnsuwT17EtCjB94hIUaql4GBQZNgCEOtSMVQ5orbji/f1N4e5XdaHGG9VfxYEUKweM9inlzzJJnF+h34WwfeyvPjnyfMt57VwHJ2oiTOQ0r7Akmo5cdARnS/Di1uBiLk3Aafe5uiuBhp2zY9GmjTJqStW5FqqOQgAgP1aKDRo/XHOeeAh0cLTtjAoPWxWyxkJyU5fX9qNIBuBJIsExQTQ6e4uHIBqG9fQuPi8AwIaLLjVEVdqhJdGHUhbIT1x9ajCa3B5apF2EUISUESKvLpn9AoF438wsOJHDXKfX8hKEpP14Wiw4fJSUoi+/Bhp3hkKyqq+kB1wF5SQua+fWTu21epz2S1EjJ+PEHjxxMyaJAzyigkNha/Ll1arnqagUEN1DedaffY2ST8ksDsB2oWMZ7f/DyL/lyELMl8cu0nDAkf0vBJCoH8xyPIx3TxWthlxC9D4GTbjjCu69+qRSkpQX7/feS5c5FOnnTr0iZORJs5E/uwYVgLCrCmpmIpKCgv5e5SzcsR+dOU32E1IZtM+HfvXmWkj0MMMrvcaHREqvaJi0MxCpYYGBg0MYYw1Mqk9vYgtJrtqr58qwvr3Zuxl0dWPcKm43o1m36d+jH/svmM6VHznRE3hEBK/1k3lM74xb1L8UaLno7W51Hwi6nPKbY98vKQtmwpjwj6/fdK5eNdEWFhzrQwbfRoGDjQqCBmcNZgLSwkKzFRjy5x8QHKOXIEoaq1D1BHFA8PQnr3dov+6RQfT0ifPq1W7rYu0ZzDugzD38Of7JJsdqfvbliqLoA5ABE6AunMZt2/rego+EZXu7skSfhFROAXEUGP0aPd+txEI5dII4eI1CjRCMhQVTJWr4bVq936TN7eTg8jR8SRw+PIv3v3WqOvDAyajRpuqjmoTQj+ZO8nzNowC4DXLn2NSbGTGj4fIZD3PImSskDflBTE2v5wKhRouutqe0ZTVayFhbqYU1CAtbAQi+N12bY1Kwvbxo3Ytm7FUlyMFbACFsDi74/V3x/Ljh1YL720xcQeV8y+vrrIExWlCz5lAlBAVBSBkZH4de1qXBcNDAzaDIYw1IpUDK9tSLhtobWQ/9v0f7y+7XXsmh0fsw//HvNvHhn+CGaljn4/mg3p+Ge6oXTen25dwqMTWu8H0XrdD56d6j2/VkfTIDkZadcupN9+00vH//knUg0VjURkpC4CjRmDGD0a+vTpWKlyBgZVUJyVVSn6pzkMoD38/NzSvhypYEE9e7ZLHwSTbGJMjzGsSF7ButR1DReGABE+Ac5sBkBK/wURc1eDxqlVNDp92ikSZScllUcdJSdjKy5u8PztJSVk7t1L5t69lfoUDw/d7LRXL/0RE+N8DoyOxmQY8hs0I3XxyqlJCN50bBP3fn8vAP8Y8Y8GpY26Ih98ASVxHgACCfW8D5Df+wjaccCdEAJrYSE+2UV4ldhRii2kmteXiztlzxaX15UEH5f2xlyLACgo0B/NiG94uDPap2KkT2BUFF7BwUaal4GBQbuh/a3CDQD9C/ibQ98wY/UMjufrP9yu6XMNL094mR6BPeo4iIac8h7ygReRStx//AnfXmhxf0OLuhVM7cQvx2KBfft0EWj3bv35zz+Rark7Lvr00YWgsqggoqJaaMIGBi2LqwH0mQoeQE1tAO0dGuoe/dO3L53i4/Hv3r19LpRriDgYFz2OFckrWHt0LX8//+8NPoSImAD7ZgEgn/4JtYHCUE1IkoRfly74delCjwpeG0IICk+dclZLc01Pyzl8uFE/1FSrlexDh8g+dKiqSemVclzEItdnD79WrMpk0CGpj09Oia2Ee364B5tm47r465gzbk6jji0nvYmyN8G5rZ77pl68g48aNW5jUW02SrKyKD5zhuIzZygpe1Y2bWLNE09gcRFtzHv28OFPP2EpKMB2NBWLaseqqhASwnSXMT9hWWudTqORTSYCIiOdgo9D7HG8DoiMxOzt3drTNDAwMGgyDGGohalYhaw2qgptziGHaz+/lhXJKwCIDozm1Ymv1i+sueAQyvZ7kbO2uDVrIcN1/6Bu14DUhsNb8/LKxZ8yIYgDB5Ds9hrfJiQJBg50RgOJ0aMhPLyFJm1g0DK4GUC7RP80pwF0qIv4Exofj2/nzk16nNampoiDi6IuAmDjsY3YVFvdozUrIILPQXiEIFmzkTLWgmYHueW+piVJwr9rV/y7dq1WNMpOTiZ35Upy5s0jR9PIBrLNZmw1pOPWihC6sWtqKqlr11bq9g0PdwpFjtS0wOhoPPz98fD1xex4eHsbHkdnMa7rq6qEH9f1VH18cl7Y8gKHcw7Tzb8b717xboN9xACkox+h7CoXj9VBLyBi7m7weNXhiN4pzszUxZ7MzEqCT8Xt0tzcKscyAVs3bnRrk4FTqalNPu+WxDMgwCn2VBX14xsRYaR5GRgYnFUYwlALU98qZK775pXm8ebvb/KB1wdYk62YZTMzRszgiVFP4GOuY1SPZkdOeg1572wkrbS8ucskXRDqNLptpU0JASdPVhKBpCNH6vb26GjE4MGIIUMQQ4ciLrjAKB1v0GFwGEBXrACWdehQsxlAOwWgFjKAbg8MDBtIJ+9OnCk5w7aT2xgVOar2N1WFpCDCxuum/7ZcpJwdiNDzm3ayDcRVNIoaOxZpwABM06cDoNls5C5YQHZMjO5nlJRETkoKuSkpja6eBlCUnk5RejppW7bUuq/Zx6dcKPLxKReOytobvO3ra/xIbMMoU6YiqyrK2++gLltapfDTkAqwB84cYO6vcwGYN2Ee/p7+DZ6jlLYcZfu9zm2170y0uH/U6b2a3Y53TjG++aV45ZfimVvEjsPvuAs/Zc+ObdVqbfBc2yImwAPwLHv26NwZj7g4PCIidJHY3x8PPz88XV472j1dt/388PDzM0RkAwMDgwoYwlALUrHqWF1QNZV1qetY9Ocivk78mlK7LuaMixrH65e9TlxoXN0nkLdHjxLK2eFsEr4xqMPeQYRdWK9zaTZOn9argm3bVi4G1SHFRSgK9O2rC0AOIWjwYEMEMugQVGkAffAgOSkpzWIA7Rr909oG0O0BWZKZEDOBJfuW8ObvbzZcGAK0iAnIaV8AIJ3+qc0IQxURN9+MmpSE8txzyEDw3/6G/9q1RN15p/t+QlCcmal7GB0+TE6ZWJSbkkL24cOUnDnTpPOyFRfrKW9NnBoJoHh6VhKOnOKR67arOFXVdhXvV4zKlo0jL4/xsgJa010PhRD8deVfsWk2JsVO4i9xf2nwWNLpVShbb0VCQwgo6Xovhd63UrJ9uzOap/RYKsU2O8VWC0XXXUfxmTOYExOZ9/bblObkcEeFMVexsnEn2MyoJhm/gKBKIk214o2rcOPjg+f69Xi/+SaeGRl4okcpCUVB3HIL6uOPQ2xsa5+igYGBQYfCEIaaGdfQ5ixrIbl9vFDrUD41KTuJxX8u5pO9nzg9hADiQ+N5cvSTTO03te4+HZoV+eBLyPufRxJ6uL9AQuv9CNqAWWDyrfd5NQl2O+zZg7x1qy4Gbd1ap0gg4eODGDRIF3+GDIHBgxH9+4Pxw9WgnVPRANoRCdTUBtBmX1+n74+rEXRwTEy7NIBuC/xz5D9Zum8pXxz4gscveJzB4YMbNI4Iv8T5Wkr/Gfr/u6mm2ORozzyDlJyMvGwZUnExpmuvxb55M3Tr5txHkiR8w8LwDQuj+8iRlcYozctzRha5Ckc5KSkUpKW15OnUimqxUGKxUJKd3eRjyyZTtUKSW+RTA7ZNXl7t09erlVm8ZzEbjm3A2+TNq5e+Wu3fULPbK0XruG2n7ackZT3FeRrFBVBcJKNaFwALqj/4998DuhhSWv1ezYZ3SAjeoaH4dO6Md0gInoGBbuJN6qlT9D/nHDz8/PB68SU8zWY8ZAnT4sV4+Pvz4iuvMPu55xp0bGnNGpRHH9UtAsoQioJ2++26INSzZ1OdpoGBgUGdef/99/nggw84XrYmj4+P51//+hcTJkwAoLS0lKeffprly5djtVoZP348c+fOJSwszDnG8ePHmTFjBps2bcLX15epU6eSkJCAqY2svdvGLNoxNXkGVQxtro18Sz5fHviSj/78iM1pm53tQV5BTOk3hdsG3cawLsPqt8DL+QPT9nuQ8vY4m4R/HOrwdxGhI+o+TlOQnV0uAG3dirR9e+3G0J076wKQqxAUG2uUizdotwghKDx50pn65eoB1BwG0BWjfzr17dt+DaDbMAPDBjK532SW7V/GrA2z+OrGrxo2kE8kwj8eqeAgUvY2sOaCRxuNfJQk1HffhdRUXeA/eVIXh9asgToaRnsFBhIxdCgRQytXc7OVlJB75Ei5cOQqGp04gb2kpKnPqNXQ7HYseXlY8vKafnBJql44qiaFzrlfHaKfOlJKjt1iwZKXR3p6KvMWzqB3NtwWNYn0D7/iSBXpWsVZWZTm5NTzKNVXRW0OFE9PfDp3xsch9JQ9V7sdElLrDQLXmEjlvfehLFpLdYg2DfmRs38/ysyZyCtWuDVrV16JOmcOxMfXf0wDAwODJqJr164kJCTQq1cvhBAsWbKEadOmsX79evr27cvMmTP56aefWLhwIQEBATz22GPceuutrFq1CgBVVZkyZQrh4eGsWrWK06dP88ADD2A2m3nmmWda+ex0DGGoEdQq/NQhtFkTGutT17Poz0V8dfArSuz6QleWZC6NuZRbB97KVX2uwstUz2gYtRR5//8hJ76MJPTjC0lBi/snWr+nQGnm6BpNg4MHkbZu1X8w/PorUmJijW8RXl6I4cMR55+PGDECce650LVr2/I8MjCoIxUNoB3RP1mJiVjy85v0WP7dulWqANYRDaDbOv8e828+P/A5PyT9wLYT2ziv23kNGkeLmIBScBBJqEgZaxHdr23imTYhXl6oX36JNHo00pEjSLt2odx2G+rnnzdawDd7e9O5Xz869+tXZb/QNGzFxViLirA5HnXYthUVlbe5bpe9dmwjRKPm32YoMyJurNdTdZi8vOoWvVQmKpm8vckuLMQWE6NHoNTg66SY627krmkapTYbxYcPY8nPR0pNJfGbb7Dk5VFaJrpZ8vOdApz5jz/4cPVqt3Z7aXl8zuSyZ5Uv+YUvm/iv1nBK/TwpDfBmQFTf6kWeTp3w6dQJ706ddD+dtryOSk9HfvZZ5PffR3JJjRZDh6K++CKiiiIsBgYGBi3N5Zdf7rb973//mw8++IDff/+drl278vHHH/Puu+8yduxYAN544w3OP/98tm/fzvDhw1mzZg2JiYl8/fXXhIWFMXDgQGbOnMmsWbN44okn8GgDKeUdRhhSy75M1Eb4baxbt67KKmDV7aPk5jFekUHVqjyuHBDIWlVlnKI4+x3LzPySfN764y0W7FzglioWFxLHLQNv4eb+N9PVv2ul86sLUtZWzH/cj1xQLsRogQOxnfMOInioY8A6j1cnCgqQt29H+u035K1bkbdtQ6qmwoUD0b072ogR+uP88xGDBkHFD4XWsnfWzjaa4nNztmO3WMhJTtZNnxMTneJPdnMYQPfsSWh8PKFlJtCO19UZQJ+t/66KABAgav4bOK7HqqpWeb2utL8QlT4zrvv2CurFLQNu4aM9H/HMumf4YeoPDZq/6DweJWm+vnF6NWqXqxs0TosREoL25Zd4jBuHlJeH/P33aI8/jv3FF5v90Iq3N97e3nh36tSk4wohsJeWVhKUqhOSKvbbioqwVtHmeK3VUkGzPWEvLcVeWkpJVla93re79l2QzeYqBSbFywtbYSGleXlY8/KwZGRgc6wX+vYFdIPiLz/9tPqxgVNHj9Zrzk2N4uGBt4uIk3LqFOdddJGz7fu1a7n9gQfwDg1lTOJb2AK80UwKmtBIHfdSnY6hNfM6qqrrreu1slpKSlDmz8c0dy6SS7VM0a0btv/8B23qVJDlpl+vtmOMNZuBQf2p7nMjym7+5Ofnu4nnnp6eeHp61jrm119/TXFxMcOHD2f37t3YbDY3HaFPnz50797dKQxt376dfv36uaWWXXzxxcyYMYODBw8yaNCgxp5qo+kwwlBKSgoAycnJDR5j9erVdOnSpcq+6058RK5aQvRhO7naapZ3u42+qgpCA02QmJjo3CdI8WZ5t9tg1jP8+NFHdL7tNkhMxG63IwtB8Zl9xP8vnjMW3XTTz+TH5d0v5+oeVzMgeACSJFFwsoBEao6wqYis5hOR8Q6dsj9FKvvJo0km0jvdS2anOxAZZsio35hVIgQeaWn47t6Nz+7d+O7ejVdyMlINiw/NZKKkb1+KBw+maNAgigcPxlaxTHwdK40ZND2N+dycLdiLiyk4ckR/pKRQkJJC4ZEjFKWlNakBtGQy4R8djV/Pnvj37Il/r1749+yJX1QUSoUvqgKg4NQpOHWqyY7fEah4ba4Ku92OIsmoQtP3qXC9rnLcvn0rjVfxszMlYgqf7v2UNalr+HjTxwzvPLze85e1CPpLZmRhQ01bQaL3Q20/clKW8XvxRWIeeghJVTG9/jqnAgLIvuGG1p5Z0yDL4O+vP9BFBc+yR0PQbDbsJSWoJSXVPtfaV1paZZ/WgapRaTYbltxcLLXcaGormP398QwOJMArE38/C97+4BEcSnHUFDxCI/AICsIzOBiPsofJx8ftB4m8ezeRg8v9yUpTUykJD6cEKPD3QEGA3V5+3WoD9PH2ZoMsMVYTHCqbk9VqrX5+mkbwihVEzJ+POT3d2az6+JBx551k3nILwssLkpJaYvrtEmPNZmBQfyp+biRJIioqigEDBlDoElH7+OOP88QTT1Q5xr59+5g4cSKlpaX4+vqyePFi4uPj2bNnDx4eHgQGBrrtHxYWRnrZdS4jI8NNFALoXBbZn+5yLWxNOowwFBMTw+HDh4mNjUWpJny9pogg803TuFxVGTDrP9iWfFKpv/CkDQ+zByfjPdCEjbi4OEyKAmURQ3Fxcc59Csv6ATw8PIiLi0PVVDz3HSf92AY0Sz7FQHRgNE+Neoob+t5Q/1QxV+xFKIf/h+nwK0i28lx3LfhcbOe8Q3Bgf4IbPjqUlCD98YceCeSIBsrIqPEtIiwM7fzznRFBYuhQFG9v/IGGF3s1aGpUVSU5ObnGz83ZRklWllv6V1ZiIlkHDzaLAbRr5I/DADqoZ0/DALqRVLw2V7nPSROyJCMJrdL1ujpc+6r77MQRx11n7uKdne/wYeqHTBs1rUFpHOLMKMhch6ftJPHdTQi/dlCBJy4Ou92O+eGHAej+/POEjxiBdvHFrTyxswtNVcsjlEpKKkc11RLNVGVUlMt+Zwuy2eyM5PHp1ElP06q4XZbG5V22rSgS5l+vR0n/CQDNrw/WC38Bz7pFtFW8/rhekxzXLMDtutXqfPk562bP5sKEBBwzqu5aKm/YgOmJJ5B37nS2CUVBvfNO7E89RXB4eOPWqx0cY81mYFB/qvvcCCGwWq3s3bu3UsRQdfTu3ZsNGzaQn5/PN998w4MPPsj3ZcUCOgId5teH4x9aUZRqL5YbNmzg4moWqJIESPqz4/2uxtKhHn5kWQuJSrJS2D9E30ei7E3l73H8t3JsX3TRRfxw+AcS1idwKnMfABG+EcwcPZM7h9yJh9KIfELVgpzyLvKBF5Es5UqjkL3QBiSg9X4UWW7AP3Famu4J9Ntv+vOuXUg2W7W7C1mGgQPRRo7U/YFGjtSrRpR9yDqOLWXHpabPTUfEaQBd5vvj6gHUbAbQLibQofHxBHTv3qFMW9sUVVybq90Nl+u3JNX7c1DVZ+fJ0U+yaM8itqRtYc2xNVwac2m9xgQgYgJkrgPAlLkGLbCN/AisjXvvRT18GOWVV5BUFfPNN2PfsAGq8QkyaHoURcHs4QHBTf8TWwiBvaSk3r5OrtvWoiLyz5zBJEQlX6emir6UFAXNbCa4Sxc8AwLwDArCKyAAz8BA/REQQFpmJv2HDcMzIIBvTqzincRFWDzhmUlzuGv0Qw2q5ibv/IdTFBIeIahjvkbxCa/lXTWcR4Vrkuts2tJ39rhx49znWfFaevAgypNPIv/gnl6rTZqkG0v360fbOZu2z9m2ZjMwaAoqfm4cqWQBAQF1vtZ7eHgQExMDwJAhQ9i5cydvv/021113HVarlby8PLeooYyMDMLLMmTCwsLYsWOH23iZZb85witm0bQSHUYYagiuwo+6bClrEhK4cPZsZ/+6deuc/bvH6u1rlbWMG1tWhSwwkDWqyvjqIpSOriPheAK/bf0N0KuL/XPEP3lo2EP4ejSiRLxmR0pdjLL/OaTiY85mgYyImoba/2nwrUc5T01D+v13pG++Qf7229pNooOCdHPoESMQI0cihg1zhtcbGLQlNFUl7+jRSuJPcxlAh1YQfzr17WsYQJ+FdPXvyj1D72H+9vm8v/P9BglDWsQElD1PASClr4bYB5p6ms2GNmeOXsb+u++Q8vMx/eUv2Ddtggoh1AbtD0mSdJNoHx9o4LVNVVUSExOJi4urtEhXrVY3oaiicOQQmuylpZh9ffEqE3p8/juXXYrMWE8vzEs+xezjw6xZs3jQZU1XHTtO7WDWwsVo3eGli1/i/vP/1qDzkg8vQEl+Qz8XyYx6wWfQHiL9moCK1XkvuugiEAJp2zbkhQuRFi50N5YePFg3lh4/voVnamBgYNB0aJqG1Wpl8ODBmM1m1q9fz9VX676QSUlJpKWlMXy4bikwfPhwXn75ZTIzM50pZGvXrsXf37/NRIB2KGFo9+7d1f5hB29IwC8im683JDhFHlfhpyLKlKmMV1WUKVPdKo657q8uW4q2di2qS1SR375sMntYmLRkEj8f+RkAH7MPDw9/mBnnzyDYuxF38ISGdPxzlH3/QSp0z73Wul+H2j8BAvrWbSyLBWndOqRvv0X+/nukGjxKRHw8YuRIPSVsxAiIi9P9FgwM2gh2i4XspKTKFcCayQDaVfhxGEB7VcgrNuj41PSdc8vAW5i/fT4/Hv6RQmshfh51K9/uJHAQwjMMyZKBlLEONCvIrV+xok4oCupHHyGNG6dHnB49inL99ag//QTe3q09O4M2iiRJmDw9MXl64h0SUr83T5zI2wkJXF4HIcgVq2rlnu/vQRMaU/pN4W8NFIWk9F+Qdz7q3FbPfQPReWyDxmr37N3Lxb/8gnz//UgVvCNFt26os2cjbrnFWEej5IjtAAAgAElEQVQaGBi0K2bPns0ll1xCZGQkBQUFfPHFF2zatIkvv/ySwMBAbrnlFp566imCg4Px9/fnscceY/jw4U5haPz48cTFxXH//fcza9YsMjIyeO6557j77rtrNbtuKTqcMDR58uQq+7KsheT28UK16uZSbx1dyx5zDm8dXcsD0bqw4+Y/VIdS8+AuFC3rdxMP7n+Qo7s3cRQwy2buHno3T456kgi/iMacGlLWVuSdf0fOcQ9B0yIuRx0wCxzVxmoiNxdp5Uo9KmjVKrcqEA6EJOlRQBdeqD+fdx7Ud4FmYNBMWAsLyyt/uaSB5aSkNKkBtGw2E9qnj5v3T+e+fQnp0weTVyP8wAw6FDV95wwJH0JscCzJOcn8kPQDU/pPqd/gkowIvxjp2BIkeyFS1m+IzmOaYNYthK8v9q++wjR6NNKJE8i//Qb33IO6eHHbN9I2OGuY++tc9mbuJdQ7lHkT5jVskIJElF9vQhJllW/6/B3R844mmV9tlXLbDEeOIC9bhrxsGdK+fZW6hZ8f2j//ifa3v4GPTytM0MDAwKBxnDlzhgceeID09HQCAgLo378/X375pVMLmDNnDrIsc9ttt2G1Whk/fjxz5851vl9RFJYuXcqMGTOYOHEiPj4+3HTTTcycObO1TqkSHUoYqg8PRI/jtG2dUxSCyqGwdUUIwSu/vcJTa59CFSoSEjcPuJlnxj5Dz6B6pHRVRXEayp6nkI8tcWvWOo9FG/AfRKcLan5/WpoeEfTtt3qEUBUlcoWXF+KSS9CuvhoxaZIR7m/Q6hRXMIB2CED5x47V/uZ6YPb1LY/+cYkACo6JMQygOziOCM/C/s0jfEuSxA19b+CFLS/w+YHP6y8MAVr4Jc5rv5S+un0JQwDdumFfvhzT+PFIRUXIn32G6N0bLSGhtWdmYMD+zP3M2TwHgHmXzqOzbwNS46zZmDZdi2TTq6ZpXSahDZrTZHN0XZdW9LpsdU6fRv7iC6Rly3ThtwJClhEXX4w2ZQrimmvAiKo1MDBox8yfP7/Gfi8vL+bOnesmBlWkR48efP755009tSbjrP7lU+OdmFr8gxzkluZy9/d38+2hbwGYFDuJ/7vo/xgQNqBxk1NLkA+9qhtLq8XOZhHQH3XwS4jwS6q+6yoE7NunRwV99x1yBZMr524hIYgrrkC76irEhAng2wjPIwODBuBmAO1I/Sp7XVxL1bv64h0SQmiZ94+rAGQYQJ9duPrK7R47m4RfEpj9QP1ST+rDDf10YWjV4VXkW/IJ8Ayo1/tF+CXO19Lpn2HAf5p6is3P0KGoixejXH89khAozz2HiI1FTJvW2jMzaMO4flabA1VTuX/F/VhVK5NiJzG139T6D6LZULZMRSrUSyCLwIGo5y8GqXlMgR02CAkbm/e6VSNFRUhffIG8dCnS2rVImlZpF23kSMSUKWjXXw9txFDVwMDAwKB2zmphqKZFR1Vm1BXZeXonNy2/iZTcFDwUD16+5GXuPefeBpUmdiIE0omvUHY/gVR8tLzZIwRtwGy0nndBxUpjqqpXD/vuO10QOny46qGjo/WooKuuQowaBUZEhEEL4DSAriD+ZB082HwG0C7iT6f4eHw6d27c59KgfREYCHl5le5Q1+QrB/VL2xi6aTY+kQUM3TSbPy+sWrAZ2HkgfUL6cCj7EN8nfc/NA26u8/gAeHdBBA5EytuDlLMDLGfqXPa6LSGuvBLtpZdQ/vUvAJT77kONikKMHt3KMzNoq1T8rDa1UPTWjrfYemIr/h7+zL9sfv2/H4RA+eMR5LLKgcIzDPuo5WDuoIU4cnKQ//c/5DfeQMrKqtQtBg5EmzIFbfJkiI5u+fkZGBgYGDSas0YZaMq0ASEE7+18j3+s/gcW1UJ0YDRLrlvCuV3ObcSgGtKZLcj7ZiNnri9vlhS0Xvej9f83eJTNPT8fac8epD//1KuJrVyJVE2JbTFkCNrVV6NddRUMGmR4Oxg0G6rVSnZSknsFsIMHyT50CHtpadMdSJIIjokhNC5OrwBmGEAbVMC1YEB9qM8Pz2xbEVmxHki2omr3caSTzdk8h88PfF5/YQjQwieg5O1BQiBlrEFEVu1p1NbRHnkEkpJQFixAslpRbrwR+8aNEHt2VG0yaBy1ibr14WjuUZ5e9zQAz49/nsiAyHqPISe9jnzkfQCE7Ik66kvwjWqS+bUpTp1Cfu015AULkAoL3bpETAza5MloU6ZA//6tNEEDAwMDg6birBGGdo+dzVrVpdR8Hajq7nGhtZCHfnyIJft034cre1/J+1e+37BqY0JFOrMFKW05ctpXSKUn3bq1zuNRQ2cgHSlB/uF/SLt364JQSkr1QyoKYuxYxNVXo115JUR1wIWKQatSyQC6LBKoOQygQ3r3rhT9E9KnD2ajspFBO+HGfjcyZ/McVqesJrc0lyCvoHq9X0RMgEO6Ka58+mfUdioMIUlor7yCdOQI8urVSFlZmK65Ri9jH9yIap0GHY6qqsg2hP9n787joir3B45/nnMGBEVRUXDfBTewzbTcSM02y7LcyrZ7W37ZbXMr697IVm/rzcoWW26bmpmWppWaC2pa2TXURBT3FRAUBNnmnOf3x+AIbjAwMIDf9+tlzBzO85zvjEyM3/k+3+dM7+G01oz+YTTH84/Tu3lv7rnwHo/nVQcXYsRNcN+3un2ADule6jgrpR07MF57DeOzz1CFdvbUpokeNgz7wQfR3brJh41CCFGNVOvE0Kmlx55+2nTq+fGH4xn+zXC2pG7BVCbPX/E8Y7qP8awE2XaiDq9C7fsGY9+3qNwk1/E8YD+wG/SBYEhpikr4A7/064qdUteqhR440LVM7JprZBcx4RUV2QDaXf1TaBt4aQAtqoPODTvTsUFH4g/HM3/bfG6PvN2j8bpBT7QRgLJzUEmLXX3kquo/xvz8sKZPR/Xpg4qPR23bhjl8ONb334O/v6+jExUoLi6OiIiIM37v1F1kzeEj6GdZmMNHeFQNeKb3fJ9v/JwlO5cQ4Ajg3WvfxVAe9phL34i5dhQKDYDV8Ul0i5GezVFG5bpT2caNmK+8gpo1q0j/IF2jBvadd2KPGQNt2pTf9YUQQvhMtflX18f7VrGl5jHe27OcB1v3B7xXepzrzOXdP95lUuwksvKzaBzUmC9v/JJeLYrpj2DnQWYiKiMBdSwBlRGPSlqCSkqBPcBu3F/1QVAFv4MV6UD6GafUNWuiIyPRUVEQFYWOikJfeCHIFtqiFLTWZCclsWv/ftK2bi2SACrvBtAnEkDSAFqUt66xMa7dfBrllbkKoTRu6XgLz618jtmbZ3ucGMIMQDfsg0pahMreD8fioU6n8gm0IgQH4/zuO9c29snJGMuXw0MPYb33XtVNeAmPxcXFMWzYyeq3c/YQSk+nn2GCXbaK1EOZhxi3ZBwAT/d+mvCQcM8myEnGsWoIyulKWNnNhmB3frpMMZVGeTTlVmvXYkyejLFwYZHjunZt7Pvucy0FbdzY69cVQghReVSbxND/7XiW6yOO0yTNQOWs4+esdFRwAjPiP2Nk+5vB4fmuW1prvo7/mn8t/xc7j+4EoF+rfnw2+DNCaxXa0j3vKOpYAhxLQGVsQR3bgspIgIztqAO2KwF0Igm0hzPmfM70dlg3a+ZK/BT6Q9u2UMxOaUKcyrYsju7cWbQCqOBPnpcbQAc1aXJa9Y80gBa+lJqXiakM9hWqQqhIJxJDi3cu5kj2EY+XHutGV0LSIsC1nMyuyokhgFatsGbPxrzySlRuLsYnn7i2sR83zteRCR/xZg+hs3nkp0c4mnOUCxtdyKPdH/VssJWD+ctQ1PHdANj1Lsbq9jF4WnFUmWiNWrwY4+WXMWJji36rQQPsf/wD+4EHZKmnEEKcJ6pNYshIj6OFcQx2/A+AgcDA5sCm+bDpHrRfMAQ2RQc2LfjaBF2zGQQ2cR/Dry44M0hL38HaXT/xY/xMDh1JoI8Bo0LrMLh1H7rWb4mx+UnIOwp5aajMRFTOIcjitCog9gP5xceu/fygY0d0165Fk0AhIeX0bInqypmbS9rWrUWSP6lbtpC6dStWoT4BZVa4AXSHDjTo1EkaQAtxFh0bdKRLwy5sStnEvK3zuLPrnR6Nt8MGcOLjAJW0GMIf9n6QFUz36IH10Uc4Ro0CwHzySXTbtuibbvJxZMLXSrJZiKe7lM3ZMoe5CXNxGA4+uO4DHKfu7nouthPz93swUtcAoAObuppNO2qWfI7KxLJQ336L+fLLqPXri3xLN2uGPWYM9t13Qy3PP1AVQghRdVWbxJDGOGPVzQkqPx3y01EZm4udKwwYDAwOBNw9bjMg7Xs4DKRwMvlzIhF0uIRxNghBRxUkgCIj0V27QocO0l9BeCQ3I+P0BtBbtnB0xw50ob4AZVW4AXTh6h9pAC2EZ27peAubUjbx3dbvPE4MUacTOrApKns/KiUWrBwwq/7yYT1sGFZiIuYzzwBg3nUXVvPm6Esu8WlcwreK2yyka2wMQVvS2G19T4h/kHtp6Nl676Rlp/HoT64KoXE9xtE1rGvJg7HzMX+9E2PfbAC0WdO1LX1gk5LPUVnYNmr6dMzJk1Fbtxb5lg4Pxxo/Hj1ypLwfFUKI81S1SQzlXreXnfFraNskADP3ICr7AGTvc309vv/kfduDqolcYC9FK4H2ACXYeVsrBe3buxJAhSqBaNJE+iiIEtFaczwlpejSr4JE0LH9+716LXcD6FN2AKvXtq00gBbCCwa2Gcgzsc+wcs9KLNvCNDxYEqwUOmwAatenKCsbdfgXdFi/8gu2AtkTJ6K2bcP48ktUdjbmkCGuncpatPB1aKKcXLhqEjWbH+PCVZPY0PfZM55zrmqgE82pzYLbxY0Zv2Q8h7IOERESwZO9nix5oHYe5trbMPZ/B4BWflg9voR6F5Z8jsoiMRHzgQcwVqwoclhfeCHW44+jBw+WNgVCCHGeqz7/4jMc5PuFoetHuLbTPNM5WkNemjthZGXtYXn8F+w79CttMqFVcg3qJQVTa58Dx44s2JeBss84U9Fpg4Lc1T/uptCdO0sZrigRbdtk7N17xgRQdlqaV68VGBLiTvo06NCBeuHhpPv5cUHfvjj8/Lx6LSHESRc0uoA6NeqQnptOXFIcFzW+yKPxdtgAjF2fAqCSFlWbxBBKuRpP796NsWoV6tAhHDfeiHPFCqhd29fR+ZynS6aqgrT8LFLb+aPys0o2IDiYpZZFv1IkLn7c/iOfb/wchWLaddMIcJSw0s7KwVwzAuOgqxmzNmpgXT4L3fgaj2PwKacTY8oUjGeeQeWc/FTT7tsXe8IE9IAB8mGlEEIIoDolhkpCKVC1YY/iyK/bWPLtazRMPMjgQ9AgG1wlQufeiUm3bOneFcydCGrdGmRXJVEMKz+fI9u3n5b8SU1IIP/4ca9eq3azZieXfxVaBlarYcOiMVkWCQkJsiuYOC+V67bPp3AYDno178XCxIUs373c48SQDuuPRqHQrgbUUeUUqC/UqIH19deo3r1RiYmoTZswR43C+uYbOM8rFiuiKXNlZ301k6UxMfSd5FoydqIH0e72/oT4B511XEZuBqMXjgbgoW4P0aNZjxJeMBtz9VCMgobv2gzE6vkNOmxA2R5IRduwAfP++zH++MN9SLdqhTV1qishJIQQQhRSfd9xHTsGiYmorVtdbzS3bUNt2gTx8aj8fBoCI88xXNeoAZ06FV0KFhkpuzOIYuUeO+ba+j0hoUgV0JHt27HzS9CNvISUYbgaQJ+S/AmJiKBGnTpeu44Q1VVF/4O7b8u+LExcyIrdKxjTY4xng2s0QNe7CHXkD1T6Bsg5BAGNyidQXwgJwTl3Lo7evVFHj2L88AN6wgTs11/3dWTiFN6uYjKHj6CfZWEOH4H11cxiz4/rM4mYn2OY9MCkc5735NIn2XdsH23qtmFS33Of6+bMwlw9BCN5GQDarIXV61t0aN+Sja8McnMxXnoJ4+WXUU4n4GpvYD/0EPakSVLNLoQQ4oyqTWLIfOstmq1di39KiisRdOhQicfq0FBX8qdQJRDh4SBLa8RZ2JZF+q5dpG7d6koCFfxJ27qVzIMHvXots0YNQsLDT0sA1W/fHkeNGl69lhCi/ES3jAZg1d5VOG2nZzsjgati4Yjr03+VtATdcpS3Q/StiAisWbMwr70W5XRivv02tGuHPXq0ryM7rxVOBJnDR2BYFua/X4bg4BIlcoqVnk4/wwTbKvtcBZbvWs4H6z8A4L1r36OWfwmSIfnHMFcNxji8CgDtqI3Vex66QU+vxVXe1K+/Yt53Hyo+3n1Md+iA9cEH6B4lrJgSQghxXqo2iSG/558n5Nixc55jGYotIZq4MPC78GKuvflJ/C/qBo2q0aeuwquy09JOJn8SEty3j2zfjpWX59Vr1ahT57TkT4MOHQhu1QpDmkIKUeVFhUZRN6AuR3OOsv7Qero16ebReN3oStjybwCMQ0uwqltiCNDR0Vjvvovj3nsBMMaMQbdujb6mivV2qUaKLGc7kcQxTEhPr7AYPFn2mZWXxf8t/D8A7r3wXqJblWBsfjrmyusxUtcCoP2CsXovQIdcWopofUBrjNdew3jqKZR29cbUDgf2hAnYEyeCfIgkhBCiGNUmMVSYDg1Ft28P7dqR1aoZPxrbeSd9Eb8GpkFgAFOumsJdXe/ydZiikrDy8zm6Y8dpCaDUrVvJPnzY69erFRZ2xgRQUOPGKGkCKUS1ZRomvVv0Zv7W+SzfvdzzxFBID7QjCOXMRCX9DNoGVf36g+k778TauhXzlVdQto152204ly+HqOrUWKl4XWNjCGqUxrexMe4t2atjM+qSOPUxnytR9EzsM+w4uoNmtZvxUr+Xip887whm7HUYR9YBoP3q4ez7A9TzrA+YzzidGA8/jPnhh+5D9kUXYX3wwXn3mhFCCFF61SYxNH/CjRwI9Kf+pd2pE9acQEcgszbP4r8b3uB4/nGoA+3qtWP6kOlcEHaBr8MVFezE1u+Fl36lFSSAju7ciV2wDt9blGEQ3KrVySVgBcmfkA4dCJQ+VUJUefX9alEzIZXjXUI8GhfdIpr5W+ezYvcKxl823rOLGv7ohn1RBxegcpMgfQPUrZ6/z+znnkMlJmLMnYvKzMRx002uncqaNfN1aBXmxLbsVqEt2SuiGXV5J59K+9op7Gzxrd23lim/TQFg6rVTqVOjmH57uYdxxF6DOhoHgPZv4EoK1e1a6tgqVEYG5q23Yixa5D5kPfUU9lNPnfeN24UQQnim2vzWGGV+y7HMY7D0o9O+FxUaxWM9HmNox6H4m/4+iE5UFGdODmmJiSeTP4W+5hw96vXrBdSrR0h4OPXDw4t8rdeunfT/EaIaW98rhqd+eIoX/i/Go3F9W7ma2K7eu5p8Kx8/07NedrrRlXBwAeBaTmZX08QQhoH1ySewdy/GunWovXtxXH451tdfo7t393V01Vp5J5/W94ph1oFZDOs1zKvz5jhzuHfBvWg0oyJHcXXbq4sZkIwj9mpU+iYAdI0wnH1/hODOXo2r3Ozbh2PwYNTGjQBof39XL6Fbb/VxYEIIIaqiapMYGtZxGIlJieQ78jmac5SM3AyiwqJ4uNvDXNHqClmiU41orck8cKBIw+cTX4/u2gUF6+u9xXA4qNumjav6Jzyc+hER7iRQzQYN5GdLCFFiXRp2ISQwhNTsVNYdXMdlzS7zaLwddiUnOo6ppCXQYZz3g6wsatbEmjMHFR2N2rEDdegQZv/+ru2277jD19FVS6cuXzvTcjavXKer9ytynl/1PAmpCYTVCuPVAa+e++TsgzhWXIU6tgUAHdAEZ/RPUDvC63GViz//xHHjjagDBwDQ9eq5kqZ9+vg4MCGEEBUhLy+P3bt307p1axxeqhCtNomht656i61btxIREYEpjXqrhbysrDNW/qRt20ZeZmbxE3ioZsOG7oqfkELJn7qtW2PKDnVCCC8wlEGfFn2YmzCX5buXe5wYIqgdumYr1PFdqMOrwJkFjmq8/XSjRjhXrcIcORJjxQpUXh6Oe+7B2rABe/JkWS7jZacuXzvTcjavCw52NbIODi71FOsPree1Na8BMOWqKdQPrH/mE7VGJS3C/N+jqKztrkOBzV1JoaB2pb5+RVI//oh5662ogvdBuk0bnN99BxFVJKklhBCi1I4fP87jjz/OjBkzAFi3bh2tWrViwoQJNG7cmMcee6zUc8s7KuFT2rbJ2Lv3jNU/GXv3ev16pr8/9dq1O1n9U5AEqh8eLr1/hBAVIrplNHMT5rJi9wom9pzo2WClsBsNwNzxIcrOQ6WsRDcuZslMVdegAdbCheixYzHfew8Ac8oU1ObNWF98AfXPkgSoZszhI+hnWZjDR3hnm/hKoqyPJdeZy73f34ulLW7ucDM3dbjpjOep1F8xNj6FkRLrPqZrtnIlhWq1LlMMFcX44AOMRx5BWRYAdvfuWHPmQMOGPo5MCCFERXj22WfZtGkT8+fPZ+jQoe7j0dHRTJ48WRJDovLLzcgo0vDZXf2TmIgzO9vr1wtq0qRIz58Tt4NbtpSt34UQPtWnpWu5xy/7fiHXmUsNh2f9yHTYlbDDtQORSlpS/RNDAH5+2FOmoKOiMB9+GOV0YixZgurZE+fs2dC5ivSFKUbhxs8h/kEE/ZVGZueCxNeJreJty4cRVh6WbTHjrxk8t/I5dh7dSUhgCP8Z+J/TT8zYjLnxaYwD84octutdgnX5TKjZooIiLgPbxnjySczXXz956KabsP77XwgM9F1cQgghKtSCBQv4+OOP6datW5F2Jh06dGDXrl1lmlsSQ8JrbKeTo7t2uat+ClcAZR065PXr+dWsSf327YsmfyIiqN++PTVq1/b69YQQwhs6NehEaM1Qko8n89uB3+jdordH43XoFWgMFDbGoUXY5RRnZaTvuQerQwfM4cNRKSmo7dtx9O6N9dln6EGDfB1emRVu/BzXZxIxP8cw6QHv9fYpzmnJqErIaTtZsG0BMSti2Hx4MwBhtcL4+PqPCQsKO3ni8T2Yfz2H2vU5qtCrRAe1w+oyCd3sZlBGRYfvuexszLvvxpgzx33IGjMG+8UXwagC8QshhPCa1NRUGp6hSjQrK6vMc0tiSHgsOy2N1ILKn8IVQEe2b8fOz/fuxZQiuEWL03b9CgkPp3bTpih5UySEqGKUUvRp2YfZ8bNZvnu5x4kh/OuiQy5Fpa51Nc89vhdqNi+fYCsh3asXzjVrcNxyC+rPP1GZmZg334w9aRL2449DFd0QoDIsFfNFMqo4TtvJmn1rWLlnJav3rmbN/jVkFvQ8qhtQl3E9xvHgJQ9Sy7+g11ZuKsaWf2Mkvouyc93z6IDG2J3+id36LjCqSN/AlBTMIUMwfv0VAG0Y2FOmYN93n48DE0II4QsXXHABixYt4r6C3wMnqoY+//xzLr300jLNLYkhcVZWfj6pCQmkbNxI0oYNJG/aRPLGjWQW7ILhTTXq1Dlj8qde+/b4SZm0EKKaiW4Zzez42fy4/Uf+1ftfHo/XYQMgdS0AKulndOu7vBxhJdeiBc7lyzHvuQdj9myU1phPP43asAFr2jSoVQUbche3VCw4mKWWRb9Cy6ELLz2rjhbvWMy4JeOIPxxf5HjdgLrcd9F9jO0+lnqBBf0BnZkYW6dgJLyOcma4z9V+wdgdxmO3+wc4alZk+GWTkODajn7HDgB0UBDW9Onoq8+DpaNCCCHO6F//+hfDhg1jy5YtOJ1O3nvvPRISEvjtt9/4/vvvyzS3JIYEAFnJySRv2EDyxo3uP4fj47Hy8rx2DWUY1G3d+owJoFqNGsm270KIKqUsW25fH349YxaP4fcDv7Nm3xqPdyfTjQbC5ucBMA4twjrfEkPg2s7+yy/RUVEYMTEorV1Jom3bcH7zDbSoAr1jihEdHe2+bX01k6UxMfSddLKap/DSs/Lgq6Vl29K2MeHnCSzYtgBwJYL6t+pP7xa96dm8J10adsE0ChJkdh7Gjo8wNr+Iyk1yz6GNAOz2D2J3GA/+lXdp3JmolSsxb7kFdeQIALpJE5zffgsXXODjyIQQQvjSZZddRmxsLP/5z3/o1KkTy5YtIyoqip9++onOZey3KImh84yVl0fqli0nK4AKkkFZSUnFDy6hwPr1T0v+1A8Pp17btjhqeNZkVQghKquyJIYaBzXmti638UncJ7yy5hXmDJ1T/KBCdL1L0H7BqPx0VPJS0Bao87CxvlLYTzyB7tIF8847UceOoeLicFx2GdaMGeg+fXwdYZn4ohqocDIqrs8kllnLuKJPxcShteaVNa8wKXYS+XY+DsPB6ItH81Svp05WBrlPtlF7v8LcNAmVtePkYWWiW92F1fmfENi0QuL2JjVjBua996IKPpjTkZGu7eibNfNxZEIIISqD1q1b8+abb3p9XkkMVVNaa7IOHSpSAZS0YQOpW7ZgO51lnt/w86NemzanbfkeEh5OzQYNvPAIhBCiehvTYwz/jfsv32/7ns0pm+nUsFPJBxsOdOgVqP3fovLSUEfWo+tfUn7BVnJ60CCcK1fiuPlm1PbtqJQUzCuvxH74Yexnn5Wdm87h1OVopyajKjI59dzK53h+lasS7uq2V/Ny/5fp0KBD0ZO0Rh36CXPjP1HpG4p8y242BKvLJKgdUVEhe4/WGC+9hPnMM+5D9sCBWNOnQ506votLCCFEpbFo0SJM06R///5Fjv/888/Yts2VV15Z6rklMVQNOHNyOBwfXyQJlLxxI8dTUrwyf53mzQmNjCzyp3779hgO+fERQojSigiJ4IbwG/hu63e8/uvrfDjoQ4/G240GYuz/FgB1aNF5nRgCoFMnnKtXY44a5drKXmvMN9/EWLgQ6+OP0d27+zpCnyiuD1F5L0crqRdWveBOCv27/795rPtjp590bBvm+kcxkhYXOWyHXoEd+ULVfQ3k52OOHo3x6afuQ9Y992C/+RnXNEQAACAASURBVCb4VZFG2UIIIcrdpEmTiImJOe241ppJkyZJYuh8obUm88ABd/XPiQRQakIC2jpLs0oPOAIDCe3ShdDISBpGRhIWFUXDLl0IrFev+MFCCCE8Nv6y8Xy39TtmbJrBM32eoVmdki8X0WEnPy1SSUug05PlEWLVUr8+1vz56DffdPUdys1FbduG2bcv9pgx2E8/DQEBvo6yQlWWxM+5TF49mUmxrt5JL/V76fSkkJWDseVljC2vFN1prO6FWFEvuJqxV1VHj2KOGIGxdKn7kPXii9hjx1bZHfaEEEKUjx07dtChQ4fTjoeHh7Nz584yzS2JoUoqPzvbVQVUuCH0hg1kp6V5Zf7gVq3cSaDQqChCIyOp17Ythnke9qgQQlRrIf5BpOZl0nJbXoU30S3OpU0vpU+LPsTuiWXKb1N4ecDLJR9cqzU6qB0qMxGVuhbyM8BPlpxgmq4k0DXXYP797xjr1qFsG/PVVzEWLHBVD118sa+jFEBGbgYvr3mZl39x/dw/F/0cY3uMLXKOOrQYc/0jqMxE9zEd2Byr60voZreAMio0Zq/avdu189jmzQDoGjVcP59Dh/o4MCGEEJVRnTp12LVrFy1O2WBjx44d1KxZtp03JTHkY1prju3bV6QCKHnDBtK2bUPbdpnn96tVi9AuXdwVQKGRkTTs0oWA4GAvRC+EEJVfXB9XJULMyhgmPTCpmLO9o2tsDKl5mYArMXUihjMZd9k4YvfE8uGfHzKx58TTm+yeg91oIGZiIko7UcnL0U1vKHPs1UbHjlixsejXX8d49llUXh4qPh6zVy/sCROwn3oK/P19HaVHCjeGLi1Ptri3tc3Oozs5fPwwqdmppIUdxA+Tm1JDCSzDW5SUnBS+WPEF09ZPIz03HYBn+jzD45c/fvKk7AOYf47D2DfbfUgrB3b4I9id/gmOWqUPoBJQf/yBedNNqEOHANAhIVhz5qAv82yHQiGEEOePa665hokTJ/LFF1/QunVrwJUU+uc//8k111xTprklMVSB8rKyOLx5c5Fm0CkbN5Jz9KhX5q/bpo2rCqggARQaGUm9Nm1QRhX+NE0IIaqg1LxMzIJKhhMJorO5qs1VRIZGsjF5I+/97z0m9pxY4uvosAGQOBVwLSeTxNApHA5XEujaa3H8/e+o9etRloX50ksYCxfinD0bWrb0WXieJGmg7I2gzeEjMCwL8733sb6aec5z1x1YxwM/PEBcUtzJgwU9nXum12Xepihqe3j9PCuPCUsmMG39NPLtfADC64czsddEbutym+sk24mx/T2MTTEo5zH3WLtBT6yL3oLgLh5etfJR8+dj3n476vhxAHS7djjnzYN27XwcmRBCiMps0qRJDB06lEsvvZQmTZoAcODAAS677DKee+65Ms0tiaFyoLUmffdud/XPiURQWmIiaF3m+f2DgoosATtRBVSjtqdv0YQQQviaUoqxPcZy17y7mPa/aZ4lhhr2RSsHSjsxkpZQ9jrTaqpLF5yrVmH8+98YL76Icjpd29r37In1zTc+a0xd4f1/0tPpZ5hgu/oSmsNH0M+yMIePcCeKMnIziFkRw9R1U9Foapg1aBTUiPqB9WmweTe/1clgdfBR+nX9H/MzD9EoqFGJLp2Zl8mwb4axZOcSALo36c74y8czqP0gjIIkqkr7HfOPB1FH/3SP0/4hWFGT0a1ur9rLxgoYb7+NMXYsquD9oN2zJ9bs2RAS4uPIhBBCVHbBwcH89NNPLFu2jE2bNhEQEEDnzp3p2bNnmeeWxFAZ5WVmkvLXX0WWgqVs3EhuRkbZJ1eKem3bFtkNLCwqiuCWLaUKSAghqpHB4YNRKPYd20dyVjKhtUJLNtCvNrrB5aiUWFcPlswdENSmfIOtqvz8sP/5T+xBg3DceisqMRGVnIw5YADWtGnoESN8HaFPaa35but3PLboMfYf2w/ArV1u5eX+L7t/Hs2rr2FD0HGu7vIHcUGZXPH5FSwcuZDWdVufc+6UrBQGzxrMuoPrqOVXixcvepH7ou/DPNHXMO8IxsZ/YeyYhuLkB2h2679hRb4ANapB0sSyMCZMwHzrLfche/hwrGnTzruG6EIIIUpPKUW/fv3o16+fV+eVxFAJadvm6K5dRZtBb9zIke3bvTJ/jeDgolvCR0XRsFMn/IOCvDK/EEKIyquWfy3a1m9LYloiG5M30r91/+IHFdBhAyAlFsBVNRR0X3mFWT1ccAHOVatcO0EtX47KzcVxxx1YCQnY//oXFHzw4ukyr6rI+mom9rJl7LyoLY/Ovpnvt30PQNt6bXn76rfP+HMYdbw2KzdcylWd17Gd7Vzx2RWMbjaa8TeNR51hF63d6bu5bsZ1bE3bSkhgCHNvmUudYwVN0rVG7ZmOGfc4KjfZPUYHR2Jd9Da6QTXpt5OTgzlqFMa8ee5D1hNPYD/zjPvnTQghhDiT999/nzvvvJOAgADef//9c557//33l/o6khg6g9yMDJI3bSrSDDpl0ybyMs/dJ6JElKJ++/ZFKoBCIyOp06LFGd9QCSGEOD9ENowsZWLoStj0NAAqaTG0lcRQserXx1qwAB5+GOOjjwAwX3gBlZCA9dFHEBhY7su8usbGENQojW9jY87ZnLw8OW0nG2ptYMgHQ8jKz8LP8GNsj7FM7DmRQL/As45rm1OT2LhLuPr6I/yV8hf/3PJPvpz2JQ91e4jbutxGrpXLzzt/ZvHOxcxLmMfh7MO0qNOC70d8T/t67UlISEBl7cb882GMpEXuebUjCLvz09jt/gFGNXmLmp+POXIkxoIFAGjTxJo6FX333T4OTAghRFUwdepUhg4dSkBAAFOnTj3reUopSQyVlrZtjmzfXiQBlLxpE0d37vTK/AH16p3eC6hTJ/zKuJWcEEKI6icqLIq5CXPZmLzRo3G63oVo/xBUXioqaRnY+WD4lVOU1Yifn+sf6B06YEyYgNIaY/Zs2LWL6PGXkdMor0jSxtsVRKl5mRwND8Aqpjl5WZyph9AJ/zv4Px744QHWH1oPwOXNLueda96hc8POZ58wOBjSXbuINQkMZemob3hh1Qu899t7xB+OZ/QPo3li6RNk5WVhacs9rFODTnw/4nua1WmG5cyjQep0/Le8g7Ky3OfYTW/CuuA1qNnMi8+Aj9k25n33nUwK1aqF9fXX6AEDfByYEEKIqiIuLu6Mt73tvEkM5Rw9erIKqGA5WMqmTeQX7AhRFsowqB8e7q7+OZEMqt20qVQBCSGEKJHI0EgANiRv8GygMtBh/VF7Z6GcGai039ENLi+HCKshpbAfeQTdrp1rl6jMTIx165jx4BbueuYGdued3M6+whtFe8MpzaYBjplOnm61jbf/ezm2tqkbUJfJ/SZzV9e73E2gz+bU5FI94NUrX8VcZdLkuia88/s77ErfBUCHkA4MbDOQuccPkRLYgOv+nEbcBcPx//0+mqb95p5DBzZ1LRtrcp3XHnaloDXG2LEYX37puuvv79qOvqr9DAkhhKgU8vPzufTSS5k5cyYRERFen7/aJYZsy+JoYqK7GXTKxo0kb9pE+u7dXpk/MCSkSAVQWFQUIR064Bd49pJrIYQQojgnEkPxh+PJt/LxM0te9WOHXYmxdxbgWk4miSHP6Ouuw7l8OY4hQ1B79tD0cCbfjvua0eMHQlUu7ggOZqll0c80sWyLuQ2SGNt2G/tq5IKGEZ1H8Er/VwgLCivV9ObwEZCezrVBQfTbspsHZ2xm3YF1NKndhBbBLQCYuWQsgWjuSv8Zx6JXUTrfPd5qez925AvgV8crD7cyMZ5/HvOddwDQhoH15ZeSFBJCCFFqfn5+5Obmltv81SYxtPixx9i5ciXf79yJMzu7zPMZDgchERFFKoBCIyMJatxYqoCEEEJ4XcvgltT2r82xvGNsTdt67iU9p9CNTmYv1KHF0DmmPEKs3qKicK5ejXnLLRi//kqtnHw+eX4BOvBV7LFjy//6hZI43mJ9NZPvY8bz29WhfPheJ3Z2ci2Vb50dwFt3z2Zgm4Flu0B6Ohgm/Y5ng23hMBz0aNbj5PdtJ92cB3jl+HI6Wqnuwzn+LVE9PsQI61u261dSxttvYz73nPu+9cEH6MGDfRiREEKI6uDvf/87b775JlOmTMHh8G4qp9okhv6aPp28Y8dKNbZmw4buxE9YQSIopGNHHDVqeDlKIYQQvhIdHe3rEM7JUAaRoZH8su8XNiRv8CgxRGBTdJ1OqIzNqLR1kJcG/vXLL9jqKiwMa/FiFg7uwaBlmzE08OSTqIQEzLDSVdWU1IkdwqwSVpW4+wddfQ0EB5+2zCs9J50xi8cw3X861jLXUrK6+Q4ePNiCJ/a0oMZzZUwKARg21M6FoGyodRxj0zOo43vg+B5U1m7I3sf3hXoNaWVitR/DVvMWwhtElf36lZD64gvMMWPc961XX0XfcYcPIxJCCFFdrF+/ntjYWJYtW0anTp2oeUrv4s8//7zUc1ebxFBJGH5+NOjQ4bSG0EGNGvk6NCGEEOWsKvSHOZEY2pi8kZGdR3o01g67EjNjMwoblbwM3ezmcoqymgsI4Kof17N4wACuXLkSAOPTT/lb8+bw6KPQoIFXLhPiH0TQX2lkdj6ZwPPoZ/RE/yDDdDeEPiErL4sbZt3Amn1rQMEljS/h/ovuZ8TEL6mJP9gW1lmmLUJbcGwrKmu3K+GTtato4ueugxQpoo6PP+tUcWZDOvVbgFU7Ep2QUPLHWYWoefMw773Xfd968knshx/2YURCCCGqk+DgYK6//vpymbvaJoZqNWpUpAIoNDKSkA4dMP39ix8shBBC+MCJPkObkjd5PFY3uhK2vQmAcWgxliSGivBoVzGlWNarF1f83/9h/v3vqJwcWu/di+7VC+fcudCxY5njiesziZifY5j0gHe3qs9x5nDz7JtZs28NdQPqMihjEB/f/TEApj0Tzt1f2k0dXIj55zhUZuI5Tjr7t9JVAHWCO/BDVgYr/VrwqX9ndte9AKwSpaSqHLV8OeZtt6EKHp81ejR2jCzpFEIIUXa2bTNlyhQSExPJz8+nd+/ePPHEEwR6sc9xtUkMdRw+HCs4mM79+tGoa1dqhYb6OiQhhBDnqRPVILvb+xPiH1TicVGhruU1G5I83JkM0A16oY0aKDsXlbQEtAbpiedWml3F9NChWK1aYd58M+rQIdSOHTj69MGaPh195ZVljsnbyxvzrXxGzh3J0l1LCfIPYv7w+Sz8YKFnk2Rux/xzLMbBc4/TNcJgbzZkBUJmIPqYP/aEl+m/YRYHzGAycLBvwGvcvWQspjKwtF2GR1a5qT/+wBwyBFXQFNQeORL79dfl9SeEEMIrXnvtNSZPnkx0dDQBAQF88MEHpKam8vbbb3vtGiX83Kjyu2rKFNrdfjut+vWTpJAQQogKt2zZMvftuD6TGHCoPvsGvEZcn5JXhJzoK3Qg8wCHjx/2LABHTXSDXgCu5T6ZWz0bL85Id+uGc/VqDhT0GFLp6Zg33IDx3ntlntuTRNXk1ZOJmBrBPd/fw7cJ35JlnKy8yVc2CakJ3DXvLhZsW0CAI4C5Q+fSvWn3opMEB7O0ZiAEB59+AaerR5DjpwuKJIXskMuxOj6B8+J3cfZZSP7Vm8gfkoHzhr3o+d3Qy7ui14VDfHN042vZYoaQpc6j6uz4eMxBg1CZmQDY116L9eGHYFSbt9hCCCF8bObMmbz66qt88803fPnll8yYMYOvv/4a2/behy7yW0sIIYTwguXLl5d5jto1atOmbhugDMvJChiHFpc5nuqia2wMSxql0TX25NKewom8YjVvzgejRmEXrOtXloX58MMYjz0GTudZh3l0jXN4fe3rPL3iaXYe3clnGz5j2DfDCL0sln6Rv9PlotXU7rmcyPcj+Tr+axzKwaybZ9G35ek7fllfzcR+cHTRRtVao/Z/i+OnrpjxL6JsV9WLDmiCs/vnWFcsw+7yLLrN39FhA6B2OJgBXnlcVd7u3TiuvRaV6tpxze7dG2vGDPDz83FgQgghqpN9+/ZxZaFK5ejoaJRSHDx40GvXkMSQEEIIUYl0Ce0CwMbkjR6PtcMKbVuftMRrMVV1qXmZ7AsPIDUv033M00Renr8/1tdfYxXaut585x3MG288rfnz2a5RmkTRx39+zBNLnwDgse6P8XC3h2ldtzU5ps2K4CPE18wi39DU9KtJQFAjWtcawOP717jHn7pcrUiV0rEEzJWDcPwyDHV8NwBaObAixuK8eiO6xXBZDnU2SUk4rrkGtX8/APrCC7HmzAEv9nsQQgghAJxOJwEBRT+U8fPzw3mOD6c8VW16DAkhhBDVQVRoFPO2zmNDsud9hgiORAc0QuUcQiUvBysXzBpej/G8ZRjYL72E7tABc/RoVH4+xqJFqD59XE2p27Q553BP+xzNjp/NAwsfAGDcZeN48YoXAXhlwCvE39yH34KP0Sw3gI5ZgTT+9mda/DyeTGVgFUqAnfF6zkyMzS9ibH0TpfPdh+3Q/lgXvgF1OpQ4xvPS0aM4Bg1CJboac+vwcJzff3/mJXpCCCFEGWmtGT16NDVqnHxPl5OTw5gxY4psWS/b1QshhBDVxImdyUpTMYRS6LABqN1foKzjqNQ16NBo7wYo0HfeidWmDebQoai0NFR8PI5evbC+/hrds+cZx3SNjSGoURrfxsaUqO/UT9t/4s7v7kSjueeCe3gh+gX395RSRB4PIjKnIBFhW1iqBEXgWqP2zsLc8AQqe//JwzVbYHV9Bd30RqkQKo7TiTl8OCouDgDdvDnOH36Ahg19HJgQQojqauTIkacdGzZsmFevIYkhIYQQohI5kRjafHgzTtuJw/DsV7UdNgBj9xcAqKTFkhjyAnP4CPpZFubwEe7+PLp3b5yrV+O48UZUQgLq8GHMq67Ceu899KhRp82RmpfJ0fCAItU8Z/PL3l8Y9s0w8u18hnYcyltXv4U6NWETHMxSy6JfZmbJKlWO78H87R6MlOXuQ9rwx44Yi93hcXDUPPtY4WY89RRGwZJA3bAhzoULoXlzH0clhBCiOnvnnXfK/RrSY0gIIYSoRNrUa0Mtv1rkOHPYlrbN4/E6rL/7tnFI+gyVVpHePOnp9DuefXovobZtca5ciT3A1dtJ5eXh+NvfMGJioJQ7hfyZ9CeDZw0m25nN1W2v5pMbPsE0zNPOs76aydLOnbB+/KFoM+kzUCkrcSy5rEhSyG58Lc6r/sTuMqlck0Ih/kE025pDiH9QuV2joqiZMzHfeAMA7XBgff01RET4OCohhBCi7CQxJIQQQlQihjLK1ICagDB03a4AqKPrISfZm+GdN0rcC6huXazvvsO67z73IfOllzBHjcKRn3+OgafbmrqVQTMGkZ6bTs9mPZk5ZCb+Zhm2ftcaI/E9zBVXoXJTXIdqtsTZcy5Wr28hqF3p5y6huD6TGHCofomWz1VqcXGY99/vvmu/8Qb68st9GJAQQgjhPZIYEkIIISpISXelimxYhj5DgB12cktTlfxzqeYQHvDzw37rLaxXX0UXLPkyZs/mnunTISmpRFPszdjLtTOuJfl4Ml3DujJ32Fxq+pWhksfKxfzjAcz1D6O0a9cSO2wAzit/RTe5rvTzno/S0nAMG4bKzgbAvusu7EKJQCGEEKKqk8SQEEIIUUFKukV6mRpQA7rRycSQLCfzguBgsK1z9/JRCvvhh7HmzEHXqgVAiwMHcPTsCRtP/3tcsnMJE5dO5ObZN9PlvS5ETI1gT8Ye2tdvz4IRC6gbULfYsE7div6EUDsLc8VAjJ0fu49Z4Y9h9ZoH/vWLnbfECp6XpTUDq++OXJaFefvtqJ07AbAvuQRryhRp0i2EEKJakcSQEEIIUclEhUUBZUgMhVyONl3VJippCWjttdgqo5JWYpWW9dXMEvXyAdDXXYdz+XJ0s2YAqD17cERHc8W63a7va82zsc9y7YxreW3ta8zfOp+taVtx2k46hHTgh5E/EFortERxnWm52wXOQyzK+AojdY3rekYAzkv/i9313+BhI/PinHhelnbudM7n5mwJrKrAiInBWLwYcDWbtr76CgICfByVEEKIivT666/Tr18/mjdvTvv27bntttvYtq1oH8ikpCTuv/9+IiIiaNq0KX379mXevHlFzjly5Aj33nsvLVq0oGXLljz00ENkZha/KUVFkMSQEEIIUcl0aejqMbQ3Yy/JWaXoEWTWQDfsDYDKOQiZW70ZXqVTXCVWRTVAdieounbFuXo1+xo1AkAdO8aXz8znrnnrydy9gudXPQ/AyM4j+c/A//DDyB/Y8Y8dxN0XR4vgFqW+/rDceOZkzKaxzgJABzbH2W85uuWtZXtgZVTifk2VjJozB/PllwHQpok1Y4bsQCaEEOehX375hXvuuYdFixYxZ84c8vPzGTJkCFlZWe5zHnjgARITE5k+fTqrV6/m+uuv5+6772bDhg3uc+699162bNnCnDlzmDlzJr/88guPPvqoLx7SaSQxJIQQQlQAc/gI+v21GXP4iGLPDQ4IJirUVTW0bFfpqmF0wz7u20ZybKnmqC4qqgFy4QSV+ehjbL3oYnSTJq77tubFd2P593834rDgrave4tPBnzL6ktH0b92fZnWanb4lvQeM+Mm8dXwJAVgA2A164RywBupdVKbHdN766y/Mv//dfdd++WV0nz7nGCCEEKK6mj17NrfeeisdO3YkMjKSqVOnsm/fPv7880/3Ob/99hv33nsvF198Ma1atWLcuHEEBwe7z0lISODnn39mypQpXHLJJVx22WX8+9//Zs6cORw8eNBXD83NuzXFPmRZVpGvQojiyetGiNI502tHa33O++bRdPqZBlh2iV5zV7S8gg3JG/h558/c0uEWj2O0Q3rj3uQ8eRlWq795PEdVcepzXZJzSjKmLHGYR9OJNg3s8Aj2DOpD6w9cS60e+g2G+HUl5B/DvHZ9I3kZxqYY931nm/txRr0Mhj9UwP/fT3tuC76e6fFVid87R4/iP3QoquCTYGvkSPIfeKBCnkshzqZKvHaEqGTO9rrRBUvsMzIyinwoU6NGDWrUqFHsvBkZGQDUq1fPfezSSy9l7ty5XHXVVQQHBzN37lxyc3Pp1asXAL///jvBwcFceOGF7jHR0dEYhsEff/zBoEGDSvkovaPaJIZ27NgBQGJioo8jEaLqkdeNEKVT+LWTl5dHQkLCWe93tCzQNti6yPGzae9oD8BP235iS+stnleT6Jp0MWph2lnYh5aRsGVLtW2Ye+pzXZJzTr0fFxdH165dvRZHfSObzxsf4r+NDrKtVjZ3DYb354O/DU1Xx5Hdsyc7p0whv6CiqLQczlTCt9+BKkjH/HjgMhp3fgC27SzTvJ4o/LidTiemMrC0fc6/k0r7e8eyaP3oowQUxJcdEcG2hx9Gb63eyzFF1VFpXztCVGKnvm6UUrRs2ZIuXboU6fHz+OOP88QTT5xzLtu2mThxIt27d6dTp07u45988gl/+9vfaNOmDQ6Hg8DAQD7//HPatGkDuHoQNWzYsMhcDoeDevXqkVTCHUzLU7VJDLVp04bt27fTrl07TNMsfoAQAsuySExMlNeNEB4602vH39+fiIgI9zmn3neYJhRUDBU+fjZNWzflsV8f42D2QfzD/GlTr43ngab2hqQf8XOm0qEJ6DrFX7cqOvW5Lsk5p96fOXMmw4YNK1McDn8Hu/1283HcxyzouQan4UrW1PKrhbpzGFOCUhi7cDXqyBECExPpePfd5M2ahb700tJdUNv4rR6P6TwMgBU6gNiNF/N0CX6+vKnwc+k44MBQBkqf+ee8sv/ecYwdi2PlSgB0/foY331HeMuWPo5KiMr/2hGiMjrb60ZrTV5eHps2bTqtYqg448aNIz4+nh9++KHI8RdeeIH09HS+/fZb6tevz8KFC7n77rtZuHAhnTt39t6DKifVJjF04i/aNE35n6UQHpLXjRClU/i1o5Qq8jo69T6q4D+KEr3eggOD6d60O6v2rmLF3hW0b9De8wDD+kLSjwA40lZh16v8b0xK47TnugTnFPv35YHMvEze+PUN3qvxHi9/7WpWjAHdM4L526HG3PL+amrXqE3M7zE4V07GceONqMREVFIS/lddhfXRR+ihQz2+rrHlDczkgh2zAhphd/8Elk6t8P+fn/ZcFnw9VxyV8feO8dZbmFOnAqAdDqzp0zHalCIhK0Q5qoyvHSEqu1NfNyeWktWpU8ejiuzx48fz008/sXDhQpo2beo+vnPnTqZNm8Yvv/xCx44dAYiMjGTNmjV8+OGHvPHGG4SFhZGSklJkPqfTyZEjRwgLCyvLw/MKaT4thBBCVFL9WvUD4OedP5dqvG4Y7b6tkld4I6RqSX09m6a7d6O+nu3x2FxnLs2mXcBzK58jQ2VgOAL4xyX/YH1Cf55PjOae7E7UrlH75IDwcJyrVmEXNDJWOTk4brsN48UXQeuzXOUMMaf+irHpaQA0CuvSTyAgzCdbwxe+ZkXtAOdt6rvvMMaNc9+33n0X3a+fDyMSQghRWWitGT9+PAsWLGDevHm0PKWS9Pjx4wAYRtH0imma7iRUt27dSE9PL9KwOjY2Ftu2ufjii8v5ERRPEkNCCCFEJXUiMbR893JsbXs8XtftinbUAUClxHqUeDif6KG3sL9lS/RQz5p829rm7vl3czx9D8rwJ7jNQEIuuJvXB75O509/wH5wNNZXM08fWL8+1sKF2Hfe6T5kPvMM5t/+Bjk5xV847yjm2lEo7XTF0WECOqw/4Jut4Qtfs6J2gPMm9fvvmHfcgSp4fVhPPoku9HcjhBDi/DZu3DhmzZrFtGnTCAoKIikpiaSkJLKzswEIDw+nTZs2PPbYY/zxxx/s3LmTt99+m2XLlnHttdcCEBERQf/+/XnkkUf4448/WLt2LRMmTGDIkCE0btzYlw8PkMSQEEIIUWl1a9KNIP8gUrNTiUuK83wCw4FuD5xVKgAAIABJREFU6NoNQ+Umw7F4L0d4/tJaM27xOGbHzwZlENz+WsKPtKZBQF33OacmaYpU8/j7Y33wAdYLL7gPGV9+iRkdDbt2nevCmOvuRx3fDYAdcjl255izny/ObccOzBtvRBW8ubdvuw07Rp5PIYQQJ3388cdkZGQwaNAgOnTo4P4zd+5cAPz8/Jg1axYNGjRg5MiR9OrVi5kzZzJ16lQGDhzonmfatGm0b9+eG2+8kWHDhtGjRw/+85//+OphFVFtegwJIYQQ1Y2f6UefFn1YmLiQpbuWcmGjC4sfdArdsC8cXAiAkbwCu06nYkZULV1jYwhqlMZHS8YS4h9UYZUqo78czUd7PgLg8xs+ZXjn4cTExDDpgbNf/7RqHqWwx49Ht2uHedddqOxsjP/9D9W9O9ann6Kvvvq0OYwdH2Dsd70R1X71sHp8Boa8nSuVtDQcN9yAKuj5YPfti/X++9V29z4hhBClc+TIkWLPadu2LZ999tk5z6lXrx4ffviht8LyKqkYEkIIISqxE8vJlu1aVqrxdmi0+7ZKqX59hlLzMtkXHoCpDFLzMosfgCuZtKRRGl1jPa8MsWyL19a+5k4KvTLgFYZ3Hu7xPIXpm27CuXIlul07ANSRI5iDB2M8+yxY1skTj8Zh/FmoD063D6BmizJd+7yVm4s5bBiqYBt6HRGBNWsW+Pv7ODAhhBCi4kliSAghhKjETiSGVu5ZSa4z1/MJ6kah/VzLm1Ry9eszdKLZsaXtIg2Ply0rXSLtXOIPx3PF51cwcelEAB7r/hiPXPqIdyaPisL5yy/Y118PgNIa8/nnMQcPhtRUcGbhWHsbynb9DFjtHkQ3Heyda59vtMa87z6M2FjX3dBQnPPmQb16Pg5MCCGE8A1JDAkhhBCVWOeGnQmrFUa2M5u1+9d6PoEyT/YZyjsMGX95OULfOtHseN+A14jrMwlz+AjMq6/BeGcq5vAR5xxT0mVn+VY+L61+iW4fdWPt/rXU9q/N1flXM7nfZG8+FKhbF2v2bKwXX0QX7GxiLFqEo3t3zOm3oY4VVLfUvQA7ysvXPo8YkyZhzJgBgA4MxJo7F1q39nFUQgghhO9IYkgIIYSoxJRSXNHK1Ztm6a6lpZpDN+zrvm2kxHolrkorPR0Mk37Hs123veD+hfcTsyKGPCuPa9pew5/3/cmF9oWoU3rReGWreKWwx43D+vFHdGio69CePRj/txCWgjZr4ezxJZg1yn6t843TiTFhAuaLLwKglcL67DN0t24+DkwIIYTwLUkMCSGEEJVc/1aurchLmxiyQ08mhlTycm+EdN5IykxixiZXdcmHgz7k22Hf0ure8fT7a/NpFUne3CpeR0fj/PVX7EsvcB1wAh+B/uoCMJt67TrnjYK+TWah3V/sV19FD5bleEIIIYQkhoQQQohK7kTF0LoD60jPKUUVTHAU2s/VP0WlrARtezO8am3GXzOwtEW3Jt24I+oOV5VQerpXK5LOqlED1FMaCm1OZsxdjaN3b0hMLN9rVyfx8Th69sRYvBgA7XBgvfMO9kMP+TgwIYQQonKQxJAQQghRybUIbkHruq2xtMW6g+s8n0AZ6NA+rpt5qVV+d7LyaCx9Np9v/ByA2yNvr7BrnmBseAKVGQe3gx7fGF2rFgBq40Ycl12Gmj+/wmOqatSCBTh69UIVJNJ0w4ZYixZh33uvjyMTQgghKg9JDAkhhBBVwAVhriVFG5I3lGq83XyY+7ax63OvxOQry5cvP/s3g4PBtlhaM9B1u4TO1B/oz6Q/2Zi8EX/Tn2Gdhp0+qByp/d9hJr4DgDZq4Bw/H+fq1eiICNf309Nx3HwzxuOPQ05OhcZWJWiNMXky5pAhqGPHXIe6dsX5yy/oXr18HJwQQghRuUhiSAghhCgjc/iIM/ac8aaosCgANiSVLjGkm1x/ctv6fXMg/5jXYvO1wkkd66uZWD/+wNLOnbC+mnnGc850/0z9gb7Y8AUAg9oPon5gfa/FW6zjezB/v899177gVagbBZ06uba0v/lm9/fMN97A0aMHrF9fcfFVdsePY44ahfn00yitAbBvvhnn8uXQsqVvYxNCCCEqIUkMCSGEEGVVAT1nokILEkOlrBjCDHBXDSnrOGr/XG+FVu6KWzpWkqbPp55T3Jh8K58Zf7maTlfoMjLbibn2DlT+EdfdpjdhtzmZJKJ2bazp07Feew3t7w+A2rzZ1UPnpZfA6ay4WCujPXtwREdjfP21+5A1aRLW9OlQsBRPCCGEEEVJYkgIIYSoAk5UDMUfjifXmVuqOXSrO9y3jV2feSWuinDOpWPl5KcdP5FyPIXQmqEMbDOwwq5r/DUJI/UXAHTNlliXvA9KFT1JKeyHHsK5di26a1fXIacTMyYGMzoatm6tsHgrE7Vqlav30p9/AqCDgnB+8w32xImnP4dCCCGEcJPEkBBCCFEFtKjTgroBdXHaTuJT40s1h67fDV07HAAjJRaydnozxGrl8w2uPkwju4zEz/SrkGuqpJ8xtrwMgFYOrB5fgH/dsw/o0gXn6tVYTzyBNlxv6YzffsPRrRvGu++Cff7sPmdMm4Y5cCAqJQUA3bYtzpUr0ddf7+PIhBBCiMpPEkNCCCFEWQUHF9/suCTnnINS6uRyslL2GUIp7CJVQ1+Ubp4KVBH9m06Vlp3GgsQFAIyKHFUxF81Jwvz1LhQFPXG6PIsO6V78OH9/7GefxVqxAt2uHQAqOxvzkUcwBw2CPXvKM2rfy8/HeOghzAcfRBUso7P798e5ejV07uzj4IQQQoiqQRJDQgghRBlZX808rdlxac4pzonE0MbkjaWew25xKxrXshpj9xegK3lVySn9m7rGxrCkURpdY2PK7ZKzNs8iz8ojKjSKrmFdy+06btrG/O1vqNwkAOywgdgRYzybont3nL//jvXAA+5jxpIlODp2xBw1CrV6NRQ0Yq42UlIwr74a8/333Yeshx/Gmj8f6ldgs3AhhBCiipPEkBBCCFEOzrT9eVmd6DMUlxRX+klqNkOHDQBAZe1EHV7tjdAqTGpeJvvCA0jNyyy3a3y+0bWM7Pb/Z+/O47Kq0z6Of8+52VRcwAVTETVwIVFLzTUFzGam8ZkpW/QZq9larJmaLPdy1JrKyqxmRqtpHpuppqzMdktLIC2nUss1U3Ff0UBFFgXOOc8fyK2oKPcCN9x83q/XvOBs1+860E+Yi9/SrXoWnTY3zZSZ9akkyYloKevyuZLhxa9oDRrIfvZZlXz0kZzWrSVJRnGxzDffVEhKikJ69ZL54otSXtV97arNmjUK6d9f5rJlkiQnLEwl//yn7JkzpZCQACcHAEDtQmEIAAA/qMz2574qG72y9uBaOT6M/rDbnZoeVZsWoa4OG3/cqBX7VshluDQyseqnrxnZX8lcXzr6yZEh6/J/SREtfIrpDB2qkm+/lTV+vJxmzU61tW6dXH/4g0LatZM5Zoz0ww8+tRMoxttvK2TwYBk7d0qSnJYtZS1ZIueWWy7wJAAAOBf+pAIAgB9URSHoTF2adZHLcCmnMEd7j+1Vm0ZtvIrjtPqlnJBGMkpyZex5W7r0GSmErbylU6OFfnLxTxQTGXPumxo3VpplKdXl8q2xosNyfXWTDMeSJNldJsqJSfUtZpmoKNl/+YvsKVNkzJ8v8/nnZX79tSTJyM2Va/ZsuWbPltOtm5yWLaWoKDnR0VJUlBQdLafsY6tWUvfukln5vyVWxWg5SZJty3zoIbkeffTUqV69ZL31lnRyhBQAAPAchSEAAGqJiJAIdWraSd//+L3WHlzrdWFIIfXlxF4vY/tcGSV5Mva+IyeumhZZrsEs29Jr616TJN2cVPE0MuuNeUqbOlWDp0/3vjHHkWvl7TIKSheHtpsNkJ04xft4FQkPlzNqlKxRo2R9951czz8vY948GYWFkiRj7VoZa8+/mLnTqpXs666Tc8MNcvr0ueDW71VSJD12TK7f/EbmBx+4T9mjRsl67jkpIsL/7QEAUIcwlQwAgFrEL+sMSWfsTvaKT7GCRdqONO3L26eoiCgNSxhWpW2ZW5+Xufc9SZITFi2rz8uSWcV/r7v0UlkvvKCSHTtkPfGEnE6d5FygyCNJxr59cv3tbwoZNEghCQkyJ06UsWpV9S1mvXWrQq64wl0UckxT1uOPy5o7l6IQAAB+wIghAABqke4x3TVvwzzvt6w/yWnaT05kvIy8TBkHM6T8nVKDOP8kWUuVTSO7MfFGhYeEn/den6ZLHVktc80496HV+0Wpfqz38TwVFSX73ntl33uvZNulO77l5Mg4fFjKySn3ubFypYzFi2UUF0uSjF275Jo1S5o1S87FF8u+7jrZN9wgdet2wZFEHtuxQ8aSJXJNnlyajySncWNZ//mPnKuu8m9bAADUYRSGAACoRcq2rF970LfCkAxDdtxNcm2YJkOOzJ3/kZ042Q8Z1k65J3L13qbSETznm0ZWxuvpUiV5CvnvKBl2kSTJSrhbTqv/8S6WP5hm6bpCUVE6ffxPubFAR47IeP99mW+9JWPJEhklJZIkY+tWuZ54Qq4nnpDTsaPsG24oLRIlJnqXy44dMpYulfn55zKWLnUvLu3OqVMnlbz9ttSxo3fxAQDAOTGVDACAGiI9Pf2C95QVhjJzMpVflO9Te3bcKPfn5s5Xq29qUDXwdETP2xvfVmFJoTpGd1TvVr2rJilJrm/vkZG3RZLkNLlUdtKjF3iiBmjSRM4tt8j64AOV7N6tkueek52aKue0BamNzZvleuQRhfbooZBLL5X56KPSli0Vx3Qcaft2Gf/+t1y/+51C4uMV2rGjQm69VeYrr5xVFLKvvlolX3xBUQgAgCrAiCEAAGqIjIyMC45EiYmMUUyDGGXlZ2n9ofXq07qP9w02iJPdIkXmwfTSKWXZ/5XTrL/38WoQT0f0lE0ju7nbzTL8PSXqJGPHK6UFOElOSKRK+r4quc4/Za3GadpUzu9/L+v3v5eysmS+846Mt96S8cUXMk4WFo0NG+TasEGuadPk9Oghu3dvqUEDqV49KSJCsStWKHzNGhm7d1fYjBMRIadvXzmDBslJSZHTv7//p6oBAABJFIYAAKg2/trGu3tMdy3etlhrs9b6VhiSZMfdJPNg6Uglc8fLsoKkMOSJbYe36YvdX8iQoVFdR134AW8c2yTXt/e4D62es6WGCVXTVnWJiZE9erQ0erS0d6/MBQtkvPWWzK++ct9irF4t1+rV7mOXpOhzhHIiIuT061daCBo8WE7v3lJ4LSuaAQBQSzGVDACAauKvbbyTWiRJ8sM6Q5KcNsPlhERKkozd86WSAp9j1javrisdxTOk/RC1adTG/w1Yx0vXFbJKp/7Z7X4tp+3/+r+dQGrdWvbdd8taulTFW7bImjFDds+eFd7u1KsnOzVV1rRpKklPV8mhQ7IWLZL9wANyBg6kKAQAQDVixBAAALVM2Zb1/igMKaSBnDbDZex4WUZJrox97wVf0eI8bMfWf9b/R5J0U9JN/m+g+Jhc//1fGUdLv1dOw86yLn3G/+3UJHFxsu+7T7rvPln79klZWTIKC6WCAtl5edpZUKDYa6+Vq169QGcKAABEYQgAgFrHvTNZ1lrZji3T8G0AsN3uFpk7XpYkmTtelVWHCkNf7v5S249sV8Owhrqm0zX+DV6wRyFfXHOqKGRGqKTff6SQBv5tpyZr1Upq1cq9y5ltWSrYtEkKCwtoWgAA4BSmkgEAUMt0atpJ4a5w5Rfna9vhbT7Hc5oNlNOgvSTJyPpMKtjlc8zaomzR6eu6XKf6ofX9F/jIWoWkXXGqKBQaJWvQQqlxkv/aAAAA8AMKQwAA1ADdl07VZy1z1H3p1AveG2KG6JLml0jy03Qyw3RvXW/IkWvtZN9j1gIFxQV6e+PbkqSbk272W1zj0DKFpKfIKNwrSXIadFDJkKVymg/0WxsAAAD+QmEIAIAaILsoT3s6Rii7KK9S97vXGcryQ2FIkh1/p5yw0v2izN1vytj/sV/i1mTvbnpXx4qOqX2T9hoQO8A/QQv3y/XfkTJKjkmS7OjLVZK6VGrYyT/xAQAA/IzCEAAAtVDZOkNrDq7xT8Dw5rK6P+E+dH17j1RSuSJVbVW2G9morqN8XqdJkuRYcn3zGxknDkmS7JgrZQ1eLEW08D02AABAFaEwBABALdQ9prskaV3WOr/FdOJult0iRZJkFOyUueEhv8WuaXbn7taS7Usk+W83MvOHJ2UeTJckORGtZPV5WQrx47pFAAAAVYDCEAAAtVBSi9JFjHfl7tLhwsP+CWoYsnrOlmNGSJLMzX+VDn/rn9g1zGvrX5MjRwNjB6pDVAef4xk/Lpe5YbokyZEpq+/LUngzn+MCAABUNQpDAADUQk0imiiucZwkPy1AXSYyXnbiA5IkQ7ZCVt4p2SX+i++jpmGRarP5uJqGRXodw3EcvbK2dDcyvyw6XZQj19e3yHAsSZKdOFlO80G+xwUAAKgGFIYAAKil/L0AdRm7031yGpXuemYc+U5m5t/9Gt8XawZN15UHorVm0HSvY6zYt0KbczarXkg9XdflOt8Schy5Vt4ho2CXJMludoXsLnVjVzcAABAcKAwBAFBLlS1A7dcRQ5Jkhsrq9bwcGaWH66dJ+Tv820YAvbKudLTQLzv9Uo3CG/kUy9z6gsy970mSnLBoWX3+LZkhPucIAABQXSgMAQBQS1VZYUiS07SP7Pg7JUmGVSDXt3dLjuP3ds4lPT29ymKfKDmhN79/U5IfppEdWStzzTj3odX7Ral+G99iAgAAVDMKQwAABIivBZCyqWQbDm1QsVXsj5TKsbs+JKdea0mSeWCRjN1v+r2Nc8nIyKiy2LNXztbh44fVpmEbpbZL9T5QSb5Cvholwz4hSbLi/yin1f/4KUsAAIDqQ2EIAIAA8bUA0r5JezUMa6giq0ibsjf5J6nThTaSdemz7kPX6vulohz/t1NNDuYf1KNfPipJmjpoqlymy+tYru/GyDhW+jV3mvSQ3e0xv+QIAABQ3SgMAQBQS5mG6d62viqmk0mS0/oXsltfI0kyThyUa+2kKmmnOkz9fKpyT+TqspaX6eZu3k8jM3a9LnPHvyRJjquBSvq+KrnC/ZQlAABA9aIwBABALVaV6wyVsS59Wk5I6SLN5vaXZBz8vMraqiqrs1Zr7uq5kqSnhj4l0/DyV6Dio3J9e6/70Or5N6lhR3+kCAAAEBAUhgAAqMWqasv6cuq1lt3tEfeha/V9kmNVXXt+5jiO7l98vxw5uqHLDRoQO8DrWGbmczKKD0uS7Ngb5MTd5K80AQAAAoLCEAAAtVj3mO6SqrgwJMnucJvsqJ6SJOPoOhk7Xq3S9twaN1Za/XpS48buU8nJyR6FWPDDAi3bvUwRIRF6LNWHtYBK8mRuLl1zyZEpq+t072MBAADUEBSGAACoxS5pfolMw9TBgoM6kHeg6hoyTNndH3cfutb/WSrJ93sz3ZdO1Wctc9R96VRJkvXGPNl/uEvWG/Pc96SkpFQ63vGS45qUVrou0v1971fbxm29zs3c+qKMomxJktN2hBQZ73UsAACAmoLCEAAAtVj90PqKjyotUFTlOkOS5DQfJPvkluzG8f0yNz/t9zayi/K0p2OEsovy3Oc8KQSd6Zmvn9GOozvUumFrje071vvErEKZm2ZJkhwZsrpM8D4WAABADUJhCACAWq5snaE1WWuqvC2r22NyjBBJkvnDU1Lh/ipv01v7ju3T48tLRzk9mvqoGoQ18DqWuW2ujBNZkiSnzbVSo0S/5AgAABBoFIYAAKjlqmudIUlSw46yL75dkmRY+XJtqLnr7DyY8aDyi/PVt3VfjUwc6X0g64TMTU+dOuwyyQ/ZAQAA1AwUhgAAqOWqY8v609mJD8oJLV0M2tj+L+noumpp1xMr9q3Qq+tKF8ieNXSWDMPwOpax8xUZhXskSXarYVKT7n7JEQAAoCagMAQAQC1XNpVsc/ZmFRYXVn2D4c1kd5koSTJky7VmovtSenp61bd/AY7j6L5P75Mk3ZR0k3q16uV9MLtYro1PnDrsMtnX9AAAAGoUCkMAANQATcMi1WbzcTUNi/T42VaRrdS0XlNZjqXvf/y+CrI7mx3/Bzn14yRJZtanMg4sliRlZGRUS/vn8/qG1/X13q/VILSB/pL8F59iGbtel1GwQ5Jkx1wlJ9qHIhMAAEANRGEIAIAaYM2g6bryQLTWDPJ8zR7DMKpsnaEKRwC5ImQlnSq6uNZMkBzLr217I78oXw+kPyBJmtB/glo1bOV9MMeSa+Pj7kM7kdFCAAAg+FAYAgAgCFTVOkPnGwHkxN6ooyGdJElG7gYZ2//t17a9MfOrmdp7bK/aNW6ne/vc61MsY/dbMvK2SJLs5oPlNOvvjxQBAABqFApDAAAEgaSYJEnVtDNZGcPQvM293YeuDdMUZhZVX/tn2Hl0p576qnT3sMdSH1NESIT3wRxbro0z3IeMFgIAAMGKwhAAAEHg9BFDjuNUW7s7C2Jlt75GkmQcP6BBzb6qtrbPNDltso6XHNegtoM0vPNwn2IZe9+TkVu6XpPdtK+c5sl+yBAAAKDmoTAEAEAQ6NKsi0LNUB09cVQ7j+6slja7L52qz1rm6OrjMXKMUEnSwGZfS4V7q6X90325+0u9tfEtGTI0c+hMn7anl+PItfEx96HdZbLkSzwAAIAajMIQAABBIMwVpi7Nukjy3zpDZYWf7kunnvN6dlGe9nSM0Hd2mOz4O0vzMEvkWj/NL+1Xlu3Y7u3pf9fjd+oR08OneMaBj2UcWV0aO+oyOS1/4nOOAACgdpo1a5ZSU1MVGxurhIQEjRo1Slu2bDnrvm+++Ua/+MUv1Lp1a7Vt21ZXX321CgsL3dcPHz6s2267TW3btlVcXJzuvvtu5eXlVeerVIjCEAAAQaJbzMnpZH5aZ6is8JNddOqXlop2KbMTJ8sJbSJJMnb+Ryrc55ccKuPltS/ruwPfqVF4I00f7PmubuU4jszvH3Uf2l0mMVoIAIA6bPny5br11lu1ePFiLViwQMXFxRo+fLjy8/Pd93zzzTe6/vrrlZKSos8++0xLlizRbbfdJtM8VXK57bbb9MMPP2jBggWaN2+eli9frnvv9W2jDH8JCXQCAADAP8rWGVqTtabK2sjIyFBKSsrZF8KipbUxUpcjMpwShTzxU5VMrfqFsHNP5GpKxhRJ0gMDH1CLBi18imfs/0hmzjeSJKdxVzmt/sfnHAEAQO01f/78csdz5sxRQkKCVq9erQEDBkiSHnjgAd1xxx0aM2aM+76EhAT355s2bdKSJUuUlpamSy+9VJL0+OOP68Ybb9TDDz+siy66qBrepGJBUxiyLKvcRwAXRr8BvOOvvuM4TrkYZx57Kqn5yZ3JDq71W78uW8a6LN5ZOZ923fVdM6nTZhmmI7XfKquoQHKF+9zm+Tz2xWPKys9SfFS8Rl862rf3to4rbPX97sPizpNl244k/o30F37uAN6h7wCeq6jflG3SkZubW25NwvDwcIWHX/j3ltzcXElSVFSUJOnQoUNauXKlbrjhBl111VXasWOHEhIS9OCDD6pfv36SpBUrVqhx48buopAkJScnyzRNrVq1SsOGDfPhTX0XNIWhbdu2SZIyMzMDnAlQ+9BvAO/42neKioq0adOmCo89Va+oniRp+5HtWrV+lSJDI33Kr6SkRC7DlOXY7rxOz/HM612Ohcq1o5lcHQ7JqFesrJWzdaTJz31usyK783frryv+Kkm6u+Pd2p653Yu3PKXFoX/qovzSGHn1e2nrsS6SD98PVIyfO4B36DuA587sN4ZhKC4uTl27di23xs+ECRM0ceLE88aybVuTJk1Snz59lJiYKEnasWOHJGnGjBl6+OGHlZSUpHnz5umaa67R8uXLdfHFFysrK0vNmzcvFyskJERRUVHKysryw1v6JmgKQx06dNDWrVsVHx8vl8sV6HSAWsGyLGVmZtJvAA/5q++EhYWpU6dOFR57o9XSVtqXt08nmpxQzzY9fYoVsi9EpmHKcGx3XqfneOb1EJdL+iFO6nBIkhRb8I5i+tznc5sVmbJgiortYl3Z7krdNvg233YiK9ij8B/mSpIcmQrt95w6Ne7sfTycEz93AO/QdwDPVdRvHMdRUVGR1q9ff9aIoQsZO3asNm7cqI8//th9zrZtSdJvfvMbjRo1SpLUrVs3ff7553r11Vc1deq5N/GoSYKmMFT2jXa5XPxjCXiIfgN4x9e+YxhGuefPPPZG95ju2pe3T+sPrdcVcVf4FEuSyn5dKsvrrJxPv25IyoqSk91QRtNjMg+vVMiRVXKaXu5Tm+eSviNdH2z5QC7DpZlDZyokxLdfaVwbHpBhFUiS7PjRMqO7+xQP58fPHcA79B3Ac2f2m7KpZI0aNfLoj0rjxo3TokWLtHDhQrVu3dp9vmXLlpJ01h+0OnXqpD179kiSYmJidOjQoXLXS0pKdPjwYcXExHj2QlWAXckAAAgi7p3J/LRlvecMORvbuo/MzNl+b6HELtH9n5auBXTHZXcosXmiT/GMQ8tk7n5TkuSENZV9Sc3/yx4AAKgejuNo3Lhx+uijj/T+++8rLi6u3PW2bdvqoosuOmvKWmZmpmJjYyVJvXv31tGjR7V69Wr39aVLl8q2bfXs6dsIb3+gMAQAQBAp25kscIUhSdtayjkeKkkyds+Xjh/wa/j/++7/tP7QekVFRGnKFVN8C2aXyPXdqa1iraSHpbAoHzMEAADBYuzYsXrzzTf14osvKjIyUllZWcrKylJhYaGk0tHUd999t1544QW999572rZtmx555BFt2bJFN998s6TS0UNDhgzRn/70J61atUpfffWVxo8fr+HDhwd8RzIpiKaSAQCAUyOG1h9cL8u25DIDMOXAckmbWkndd8pwimVu+6fsxAf9Evpw4WFNWzpNkjR10FQ1rd/Up3jmtn/KOLqZGZGlAAAgAElEQVROkuQ0uVRO+9/6miIAAAgic+eWrkF45s5hs2fP1q9+9StJ0p133qnjx49r8uTJOnLkiC655BItWLBA7du3d9//4osvaty4cbrmmmtkGIZ+8YtfaMaMGdX3IudBYQgAgCASHxWv+qH1VVBcoC05W9S5WWAWUHY2tpG675YhW+bWf8juPF4yw3yO+8gXjyi7MFtdmnXR7Zfd7luwEz/KXH9q2ph16TOSwdodAADglMOHD1fqvjFjxmjMmDEVXo+KitI///lPf6XlV0wlAwAgiLhMl7o27yopANPJGjdWWv16km1JITFyWv9CkmQcPyBjz4JKhWgaFqk2m4+raVjkWdd++PEHzVk1R5I088qZCjF9+/uWuX6ajOLSX/bsuFFymvXzKR4AAEBtRGEIAIAgE6h1hqw35intkkRZn3ws6415shP+6L5mZs6pVIw1g6brygPRWjNo+lnXxi8ZrxK7RFfHX62hHYb6luzh72Rue1GS5IREykp61Ld4AAAAtRSFIQAAgkzZOkPrstYFNA+n2RVyGpeOXjKzv5KRs8rrWJ9s/USfbP1EoWaonhjyhI+JOXJ9N0aGSrertRMfkOoFfuFHAACAQKAwBABADZWenu7Vc91jukuS1mSt8Wc6njMMWfF/cB96u3V9sVWscZ+NkyT9sfcf1bFpR9/S2vW6zOzlkiQnMkF2wt0+xQMAAKjNKAwBAFBDZWRkePVc2RpD+/L26ceCH/2Ykeectv+rgpIISZKx+03p+EGPYzy/6nltyt6k5vWba/KAyb4lVHxMrrWT3IdWj6f8sig2AABAbUVhCACAINMwvKEujrpYkrQ2y7N1hrwdpVQmOTm5/ImQ+lp5uHQEk2EXydz+fx7F+7HgRz38xcOSpOmDp6txRGPvk7NOyPX1LTKO75ck2Rf9XM5FP/U+HgAAQBCgMAQAQAC4RoxU6obv5RoxstLPeFK0SWqRJMnzBai9HaVUJiUl5axzX+VcJufkrxzm1n9IdnGl401fOl1Hjh9Rtxbd9Nvuv/U+MeuEXP8dIXP/R5Ikx1VfVo8nvY8HAAAQJCgMAQAQCEePKrWgUDp6tNKPeFK06RHTQ5L0zb5vPM2s0s63tfzpjhQ3kdPq55Iko3CvjL3vVir+uoPr9OJ3pTuHzRo6Sy7T5V2i7qLQQkmS46ona+A7UmS8d/EAAACCCIUhAACC0KC2gyRJn+/8XI7jVEkb59ta/kyebl3vOI7GfjpWtmPr2k7XalDcIO+SPGdR6D05Lc4e2QQAAFAXURgCACAIXd76ctUPra9DBYe0/tD6QKcjp3mynEaJkiTzxy9lZH913vvf3/y+0nemK9wVrhlDZnjdrrlm/GlFofqyBr4vp0Wy1/EAAACCDYUhAACCUJgrTANjB0qSMnZkBDYZqXTr+o73ug/NDQ9VeGuJSjQxbaIk6d4+96p9k/betXl0ncytL0g6faTQYO9iAQAABCkKQwAABKnkuGRJUtrOtMAmcpITN0pOgw6SJDPrMxmHvjjnfStdK7X18FZdFHmRJvSf4GVjjlyrx8mQLUmyEx+gKAQAAHAOFIYAAAhSqe1SJUnLdi1TiV0S4GwkmaGyEiefOjzHqKEDeQf0petLSdLDyQ8r8gILW1fE2P+RzIOlBTGnfjvZCfd4FQcAACDYURgCACBIdY/priYRTZR7IlffHfgu0OlIkpy2v5Jzcjcw81CGjIMZ5a7/+fM/q8goUq+LeummpJu8a8QukmvNePeh1f0xyRXhbcoAAABBjcIQAABBymW63LuTpe2omulkycnJnj1ghshKfPDU4Ybp0sld07ILsvXy2pcllW5Pbxre/ZpiZj4nIy9TkmQ3Gyin9XCv4gAAANQFFIYAAAhiZdPJ/LEA9XM70rUu9LCe25HuPpeS4vm2707bEXIadpJUukPZmsVPSZI+2faJbMdWC7uF+rbp612SJ36U+f1fStuRIavHTMkwvIsFAABQB1AYAgAgiJUtQP3lni91vOS4T7HubJeipOIo3dnO82JQOYZL1iVT3IcxB/4mFeXooy0fSZLi7XjP4uXvkLH933J981uFLO4lo/ioJMlpd4sUdZlvuQIAAAQ5CkMAANQC3ZdO1Wctc9R96VSPnuvSrItaNmip4yXH9fXer6soO8+kp6fLaXO9nEaXSJJi6+9XyAdtNSr3Xf28gdTR7lC5QI4t18rRCl3YUSErb5O58z8yju8rveRqIKvr2YtbAwAAoDwKQwAA1ALZRXna0zFC2UV5Hj1nGIaS2yVLqrp1hjyVkZEhGaasHjPlmGGSJMMu0jX1S/RhK2lWwvsyclZdMI65YbrM7XPLnXNc9WS3GCIrebFU76KqSB8AACCoUBgCACDIudcZ2pkR2ETO4MQMUcnQFVr24+U6ZtRzn48Ky5Xr86EyDn5e4bPGrtfl2vhYaRyZsrpMUklKukp+eVDW4I/lRPeu8vwBAACCAYUhAACCXNk6Qyv2rdCxE8cCmstZU+IaddHCA6m6/FArDdsn/VgvQZJklOTJtWyYjH0fnBXDyP5GrhW3u4/t7o/L7jpdTrMBkiu8Wt4DAAAgWFAYAgAgyLVr0k7tm7RXiV2iL3Z/EdBczjUlLsfI0Q+Ht+rT42EyU9O1Mbd08WnDPiHX8htlbJsr5W2V8ndIR9bKtfx6GfYJSZLd/reyE+4JxKsAAAAEBQpDAADUASkndxKradPJJCnTzJQkDW47WA3rt9B/dg2X3fZ/JUmGYylk1WiFftxFoQs7KvTTXjKOH5Ak2c2ukHXZ39iOHgAAwAcUhgAAqAPKppP5ugB1cnKy78mcoawwdHX81ZIkWy5Zl78kK/6uCp9xGrSX1f8N6eTi1QAAAPBOSKATAAAAVS8lrnTE0JqsNcouyFbT+k29i5OS4s+0lPur4dpzyW5J0tUJV5+6YJiyezwtp2lfmQc+lZySk/+zJFcDWYmTpfBmfs0FAACgLqIwBABAHRATGaPEZon6/sfv9fmuzzW88/BApyRJ+sS1Xbbh6JL8BmrfpH35i4Yhp+1IWW1HBiY5AACAOoCpZAAA1BFl6wyl70gPcCanfNj0R0nSsGxG/wAAAAQChSEAAOqImlYYKraK9UlUtiTp5zkUhgAAAAKBwhAAAHXEoLaDZBqmNuds1t5jey94f9OwSLXZfFxNwyKrJJ+nv35aR0JLFFMUpr65jaukDQAAAJwfhSEAAOqIJhFNdFnLyyRVbtTQmkHT9ZfOw7Vm0HS/51JSeFgPL3tYkjRjR0e5xJbzAAAAgUBhCACAOiS5XbIkKWNnRqXu9/cuZJLkOI6O7UjTCeuEhuZE6+aDF/m9DQAAAFQOhSEAAGqI5ORkj+5PT/d8raDUdqmlz+5Il+M4Hj/vDwUH16n42D41CG2g57d0lsFoIQAAgIChMAQAQCA0bqy0+vWkxqfW1vF0dE5GRobHzfZv01+hZqh25+7W1sNbPX7eV1ZRno7t+lKS9HDyw2oX0fKsr4OnBTIAAAB4j8IQAAABYL0xT2mXJMp6Y161tls/tL76tu4rqXp2J3ONGKnUDd/LNWLkySlk6XLsIoU0aKk7e955zq9DVUxfAwAAwLlRGAIAIEACNTLGvW39zmrYtv7oUaUWFMo+ekRjPxuroiM7JMOlRh2GyGW6qr59AAAAnBeFIQAAAsTfI2Mqu+ZQWWHo852fy3Zsv+ZwLkWGrZs7b9DfVvxNktQobpBC6kVXebsAAAC4MApDAAAEicquOdS7VW81CG2gQwWHtP7Q+irN6ZirRMMSv9W8FlkKMUPUqMNVahDTrUrbBAAAQOVRGAIAoI4Jc4VpYOxASVLGjgz3+e5Lp+qzljnqvnSqX9pZtX+VhnT7VkuictTAcum9G99TRLNOfokNAAAA/6AwBABAHVQ2nSxtR5r7XHZRnvZ0jFB2UZ7XcS3b0rub3lXqK6nq91I/rWp4TM2LQrVkzWUa2mGoz3kDAADAv0ICnQAAAKh+V3a4UkqTPt32qfbn7ddFkRf5FO/YiWP699p/6+8r/q5tR7ZJkkLMEI348SL9ZF8n9XY1kuWPxAEAAOBXjBgCAKAO6taim/q36a9iu1izV872Os6uo7s0cclEdfh7B9336X3admSboutFa3z/8dryhy16aeZWbUzoXW47egAAANQcjBgCAKCOGtNnjJbvWa5/fPsPTew/0ePn//HtP/SnRX+S5ZSOBUqITtCfLv+Tbkq6SfVD6/s7XQAAAFQBCkMAANQCTcMiFbkhR3mX+G+b9//p+D+Kj45XZk6mXlr9kkfP7sndo/FLxstyLA1uO1j39rlXP4v/mUzj/IORz/UeycnJ3qQPAAAAP2AqGQAAtcCaQdN15YForRk03W8xTcPUmMvHSJL+uuKvig6trzabj6tpWKSOnTima968Rv1e6qcDeQfOevaB9AdUUFyggbEDtXjUYv084ecXLApV9B4pKSl+eycAAAB4hsIQAABBLD09/bzXb0q6Sc3rN9fOozv1YPMkXXkgWl/1m6jhbw3XwsyFWrV/lUa9M0rFVrH7ma/3fq3XN7wuQ4ZmXjlThmF4lBMjhAAAAGoOCkMAAASxjIyM817/6ouvdGfPOyVJs76apRKV6Ma3b9Tnuz5Xw7CGahjWUMt2L9OktEmSJNuxdd+n90mSbul2iy676DKPc2KEEAAAQM3BGkMAANRhGRkZunvC3Xryv0/q2wPfal/oPh3YdkD1QurpvRvfU3Zhtm54+wb9dcVf1atVL5XYJVqxb4UiwyL1cPLDlWqDEUIAAAA1FyOGAACo45rVb6Zfd/u1JOmAeUBhrjC9fcPbGth2oH7Z6Zea0H+CJOmOj+5wjxya2H+iWka2rFR8RggBAADUXBSGAACA7rn8HoWYITIdU/OGz9OV7a90X5s2aJqGth+qwpJCZeVnqX2T9rrn8nsCmC0AAAD8hcIQAAB1VPelU/VZyxx1XzpV8dHxSrspTbcU36JhCcPK3ecyXXr5ly+rXeN2kqQnhjyhiJCIAGQMAAAAf2ONIQAA6qjsojwd6RghqyhPktS3TV997Hx8znub1m+qL37zhbYd3qa+bfpWZ5oAAACoQhSGAAAIQq4RI6WjR5UaGSnXiJGy3pjnc8wWDVqoRYMWfsgOAAAANQWFIQAAgtHRo5LpUmpBoWRbgc4GAAAANRRrDAEAAAAAANRRFIYAAAAAAADqKApDAADUQK4RI5W64fvStYIAAAAQELNmzVJqaqpiY2OVkJCgUaNGacuWLee813EcXX/99YqKitJHH31U7tru3bt14403qlWrVkpISNCUKVNUUlJSHa9wQRSGAACoiY4eLV0f6OjRQGcCAABQZy1fvly33nqrFi9erAULFqi4uFjDhw9Xfn7+Wfc+99xzMgzjrPOWZWnEiBEqLi7WokWLNGfOHL3++ut69NFHq+MVLojFpwEACALdl05VZMsc/d9n96tpWKTWBzohAACAIDB//vxyx3PmzFFCQoJWr16tAQMGuM+vW7dOs2fPVlpamjp37lzumbS0NG3atEnvvvuuWrRooaSkJE2ePFnTpk3TxIkTFRYWVi3vUpGgKQxZllXuI4ALo98A3qmOvuNyJMmRnFPtOI5Trs3Tj7OL8nS4Y4TMk5+r7PmTHyrK9eQdFbYB+BM/dwDv0HcAz1XUbxyn9Lef3NzccqN7wsPDFR4efsG4ubm5kqSoqCj3uYKCAt1222168sknFRMTc9YzK1asUGJiolq0aOE+N2TIEN1///364Ycf1K1bNw/ezP+CpjC0bds2SVJmZmaAMwFqH/oN4J2q7DtdLEtybMl2tGnTJklSUVGR+/Phe19Wk5hjejPtAS1ofYtKSkrkMkpniFuOrZKy56VyMU5X9ozl2OdsA6gq/NwBvEPfATx3Zr8xDENxcXHq2rWr8vLy3OcnTJigiRMnnjeWbduaNGmS+vTpo8TERPf5yZMn6/LLL9fVV199zucOHjxYrigkSc2bN5ckZWVlefQ+VSFoCkMdOnTQ1q1bFR8fL5fLFeh0gFrBsixlZmbSbwAPVUffcUVHK92ylOJyqVOnTpKksLAw9+d5+4pV0Lm+bKdYnTp1Usi+EJknC0OGYyvE5ZJcJ5cStGz3c6cre8ZwTl0fOnToOe8F/IGfO4B36DuA5yrqN47jqKioSOvXrz9rxNCFjB07Vhs3btTHH3/sPrdw4UItW7ZMn3/+uX9foBoFTWGo7Bvtcrn4xxLwEP0G8E5V9h37zXlKmzpVg6dPV1kLhmGUa6/sV5myc+WWOjROO2OowjzPjDFkyBA/ZA+cHz93AO/QdwDPndlvyqaSNWrU6JwLRVdk3LhxWrRokRYuXKjWrVu7zy9btkzbt29Xu3btyt1/yy23qF+/fvrwww/VokULrVq1qtz1Q4cOSdI5p55Vt6ApDAEAUJc1DYtU5IYc7UwIU9OwyECnAwAAEBQcx9H48eP10Ucf6YMPPlBcXFy56/fee69uvvnmcucGDBigRx99VD/96U8lSb1799ZTTz2lQ4cOuaeQpaenq2HDhjVipDaFIQAAgsCaQdM1dclUTb9zeumJR38W2IQAAACCwNixYzV//ny99tprioyMdK8J1KhRI9WrV08xMTHnHPXTpk0bdxEpNTVVnTp10ujRozVt2jQdPHhQjzzyiG699dZKTWGramagEwAAAAAAAKiJ5s6dq9zcXA0bNkydO3d2/++dd96pdAyXy6V58+bJNE395Cc/0R133KGRI0dq8uTJVZh55TFiCAAAAAAA4BwOHz7sl2fatm2rt956yx8p+R0jhgAAAAAAAOooCkMAAAAAAAB1FIUhAABqqOTk5ECnAAAAgCBHYQgAgBoqJSWl3DGFIgAAAPgbhSEAAGqJMwtFAAAAgK8oDAEAUAs1DYtUm83H1TQsMtCpAAAAoBajMAQAQC20ZtB0XXkgWmsGTQ90KgAAAKjFKAwBAAAAAADUURSGAAAAAAAA6igKQwAAAAAAAHUUhSEAAAAAAIA6isIQAAB1FDubAQAAgMIQAAB1FDubAQAAgMIQAAAAAABAHUVhCACAOiw5OTnQKQAAACCAKAwBAFCHpaSkBDoFAAAABBCFIQAAAAAAgDqKwhAAAAAAAEAdRWEIAAAAAACgjqIwBABAkGAhaQAAAHiKwhAAAEGChaQBAADgKQpDAAAAAAAAdRSFIQAAAAAAgDqKwhAAAAAAAEAdRWEIAAAAAACgjqIwBAAAAAAAUEdRGAIAAAAAAKijKAwBAFCHpKenBzoFAAAA1CAUhgAAqEMyMjICnQIAAABqEApDAAAAAAAAdRSFIQAAglHjxpJtKa1+vdLPAQAAgHMICXQCAADA/6w35kmS7PR0WSkpAc4GAAAANRUjhgAACGIppxWFXCNGKnXD93KNGBnAjAAAAFCTMGIIAIBaKjk52bMHjh5VqumSbKtK8gEAAEDtw4ghAABqqRSmiAEAAMBHFIYAAAAAAADqKApDAAAAAAAAdRSFIQAAAAAAgDqKwhAAAAAAAEAdRWEIAAAAAACgjqIwBAAAAAAAUEdRGAIAAAAAAKijKAwBAAAAAADUURSGAAAAAAAA6igKQwAAAAAAAHUUhSEAAAAAAIA6isIQAAAAAABAHUVhCAAAAAAAoI6iMAQAAAAAAFBHURgCAKCuaNxYafXrSY0bBzoTAAAA1BAUhgAAqCOsN+Yp7ZJEWW/MC3QqAAAAqCEoDAEAAAAAANRRFIYAAAAAAADqKApDAAAAAAAAdRSFIQAAAAAAgDqKwhAAAAAAAMA5zJo1S6mpqYqNjVVCQoJGjRqlLVu2uK8fPnxY48ePV+/evXXRRRepa9eumjBhgo4ePVouzu7du3XjjTeqVatWSkhI0JQpU1RSUlLdr3NOQVMY+uqrrzRp0iT16NFDLVq00MKFCz2OkZaWpp/97Gdq3769unTpot/+9rfatWtXFWQLAAAAAABquuXLl+vWW2/V4sWLtWDBAhUXF2v48OHKz8+XJO3fv18HDhzQQw89pOXLl2vOnDlasmSJ7rnnHncMy7I0YsQIFRcXa9GiRZozZ45ef/11Pfroo4F6rXKCpjBUUFCgiy++2Osv7M6dO/XrX/9aAwcOVFpamt544w3l5OTot7/9rZ8zBQAAAAAAtcH8+fP1q1/9Sl26dFFSUpLmzJmjPXv2aPXq1ZKkxMREvfzyy+5BJoMGDdKDDz6oTz75xD0iKC0tTZs2bdILL7ygpKQkDR06VJMnT9Y///lPFRUVBfL1JEkhgU7AXwYPHqw2bdooPj5ekmTbtizLcl8/ceKEZsyYoXfffVdHjx5V586d9eCDD6p///6SpNWrV8uyLI0fP16mWVovGz16tH7zm9/o+PHjCg0Nrf6XAqpYWR85va8AuLDa3Hccx6mVeSM41Oa+AwQSfQfwXEX9xnEcSVJubq4Mw3CfDw8PV3h4+AXj5ubmSpKioqLOe094eLieeOIJpaamasWKFWrbtq3+8Ic/yHEcDRs2TEOGDNH999+vH374Qd26dfP4/fwpaApD27ZtkyRlZmZKkvbu3atNmza5rz/55JPauXOnJk+erKZNm2rZsmUaOXKkXnrpJbVp00aRkZEyDEPPPPOMfvrTn6qwsFAvvfSSevbs6Y4NBKuyfgPAM7Wx7xQVFZX7+QgEQm3sO0BNQN8BPHdmvzEMQ3Fxceratavy8vLc5ydMmKCJEyeeN5Zt25o0aZL69OmjxMTEc96TnZ2tqVOnKj8/X59++qmef/55de/eXbt379agQYNkmqYmT57sbisrK8vHN/Rd0BSGOnTooK1bt7pHDLVu3VqdOnWSJO3Zs0effPKJVq5cqZYtW0qSUlNTtWHDBn399dcaMmSIOnXqpHnz5umOO+7QrFmzZFmWevXqpVdffVWNGzcO2HsBVcmyLGVmZio+Pl4ulyvQ6QC1Rm3uO2FhYe6fj0B1q819Bwgk+g7guYr6jeM4Kioq0vr1688aMXQhY8eO1caNG/Xxxx+f83pubq57LaEnn3xSv/vd77Rs2TJde+21uvjii/Xss89Kknr37q1nnnnGxzf0n6ApDJV9o8s+mqbp/nzz5s2yLEsDBgwo90xRUZGio6PlcrmUlZWlcePGacSIERo+fLjy8vL0+OOP67bbbtP8+fPL/QcDBBuXy8UvGYAXamPfMQyj1uWM4FMb+w5QE9B3AM+d2W/KppI1atTIo/+fP27cOC1atEgLFy5U69atz7p+7NgxXX/99YqMjJRlWRo6dKgk6YorrpDjOLJt233vwIEDdf/990uSYmJivHovfwqawtD55Ofny+Vy6bPPPnOvH1SmQYMGkqSXXnpJjRo10tSpU93X5syZox49emjVqlXq1atXteYMAAAAAAACy3EcjR8/Xh999JE++OADxcXFnXVPbm6urr/+eoWFhem1115T7969tXv3bsXGxmr//v1yHEdbt27VoUOH1Lx5c+3evVsREREKDQ2tESO560RhKCkpSZZl6ccff1Tfvn3PeU9BQcFZRaOyquLplT0AAAAAAFA3jB07VvPnz9drr72myMhI95pAjRo1Ur169ZSbm6vrrrtOBQUFeuGFF3Ts2DElJyfrrrvu0qhRo7Ro0SKNGDFCCxYs0A033KCbb75Zf/3rX1VYWKi77rqrUlPYqlrQFIby8/O1ZcsWFRcXS5J27dqldevWKSoqShdffLGuu+46/fGPf9S0adOUlJSk7OxsLVu2TImJiRo6dKiGDh2qF154QTNnznRPJXvkkUcUGxurpKSkAL8dAAAAAACobnPnzpUkDRs2rNz52bNn61e/+pXWrl2rlStXSpIuu+yycve8+eabGjBggJ544gm1atVKTz/9tMaOHauQkBDdcsstmjx5cvW8xAUYTtkEu1rKcRzl5uZq5cqVuv7668+6PmLECP3tb39TcXGxZs2apbfeekv79+9XdHS0evbsqfHjx7tXE3/nnXf097//XVu3blX9+vXVq1cvTZkyRQkJCdX9WkC1sCxLmzZtUqdOnZivDnigNved9PR0paSkBDoN1FG1ue8AgUTfATxXUb9xHEeFhYUerzHkD8ePH1dxcbEaNmxYre1eSNAUhsLCwrR582b+sQQ8wC8ZgHfoO4B36DuAd+g7gOdqUmGoqKhIO3fuVPv27RUSUvMmbpkXvgUAAAAAAACeKCgo0N13361WrVqpX79+2rNnjyRp/PjxevrppwOc3Sk1r1TlobI1hYqLi+VyuWRZVoAzAmoPy7LoN4AX6DuAd+g7gHfoO4DnKuo3ZcfFxcUKCwur0hweeughrV+/Xh988IFuuOEG9/nk5GTNmDFDY8aMqdL2K6vWTyUrKipSYWFhoNMAAAAAAAC1RL169aq8MJSUlKS5c+eqd+/eio2N1bJly9SuXTtt27ZNycnJ2rVrV5W2X1m1fsRQGZfLpe3bt+viiy9m3i1QSZZlaevWrfQbwEP0HcA79B3AO/QdwHMV9RvbtlVUVOR13KeffloPPfSQRo8erccee+y892ZnZ6t58+Znnc/Pz/e6/apQ6wtDZQs3maYp27ZlmqZMk6WTgMpwHId+A3iBvgN4h74DeIe+A3juQv3Gm0Wgv/32W/3rX//SJZdcUqn7e/ToocWLF+v222+XJPdi16+88oouv/xyj9uvKrW+MAQAAAAAAFCV8vLydPvtt+vZZ5/VzJkzK/XMlClTdOONN+qHH35QSUmJnn/+eW3atEnffPONPvzwwyrOuPKCpjBUtoAUC7IBlUe/AbxD3wG8Q98BvEPfATxXUb+xbVuSdOzYsXLb1YeHhys8PLzCeOPGjdNVV12l5OTkSheG+vXrp6VLl+qZZ55RYmKi0tPT1a1bNy1atKjSo46qQ0AXn54xY4Yef/zxcucSEhL0zTffVDqGbds6duyYdu3a5f4GAwAAAAAAnMk0TbVt21Z9+vRRVlaW+/yECRM0ceLEcz7z9ttv66z/PfIAACAASURBVKmnnlJaWpoiIiI0bNgwJSUlXXCNodoi4COGOnfurHfffdd97M08P0nulb3j4+NZkA2oJMuylJmZSb8BPETfAbxD3wG8Q98BPFdRv7FtW8XFxfr666/PGjF0Lnv27NGkSZO0YMECRURE+CW3kpIS7d+/X7GxsX6J56uAF4ZCQkIUExPjc5yyb7TL5eIfS8BD9BsEM3P0XVJOTulBdLTs5+f4LbYvfcedl59zAmoDfu4A3qHvAJ47s98YhqHi4mI1bNiwUou5r1mzRocOHVJycrL7nGVZWr58uV588UVlZWV53C83btyo5ORkZWdne/RcVQl4YWjbtm3q0qWLwsPD1bt3b/35z38+b9XsxIkTOnHihPs4gDPhAAC1QU6OjNatJEnO3n0BTuY0J/OqUTkBAACgnEGDBunLL78sd+6Pf/yjEhIS9Kc//SkoirUBLQz17NlTs2fPVnx8vLKysvT444/r6quv1vLly9WwYcNzPvP000+XW5coMjJS69evr66UAQAAAABAHdGwYUMlJiaWO1e/fn1FR0efdb7M4MGDzxvz+PHjfsvPHwJaGBo6dKj7865du6pXr15KSkrSu+++q5tvvvmcz4wZM0Z33XWX+5gRQwAAAAAAoKbYtGmThg8frri4uHNeP3DggDIzM6s5q4oFfCrZ6Ro3bqz4+Hht27atwnvO3EKubFcyAAAAAACAqvbhhx+e93qXLl3Us2dP/f73vz/n9XXr1unll1+uitS8cuGVlqpRXl6etm/frpYtWwY6FQAAAAAAAI/16dPnvCOCIiMj1b9//2rM6PwCOmJoypQp+ulPf6rY2Fjt379fM2bMkMvl0nXXXRfItAAAAAAAALwyY8aM815v3769Pvjgg2rK5sICWhjau3evbr31VuXk5KhZs2bq06ePPv30UzVr1iyQaQEAUOuZo++ScnJKD6KjZT8/J7AJAQAAoEYKaGFo7ty5gWweAIDglZMjo3UrSZKzd1+AkwEAAEBNVaPWGAIAAAAAAED1qVG7kgEAUFfdvPIfyi7KV9OwBnql1+0XvN89VcyDaWLePAMAAIDgxoghAABqgOyifNULD1d2UX7lHiibKla2jlBVPQMAAICgRmEIAAAAAADAzzZv3lzhtSVLllRjJudHYQgAAB+Zo++SeePI0qlaAAAAgKTk5GS9+OKL5c6dOHFC48aN06hRowKU1dlYYwgAUOf5vPbOySlatX33L0/XOQIAAEDFZs+erfvvv1+LFy/W7NmzlZWVpdtuu022bWvhwoWBTs+NEUMAANTAtXcCMQrJ43WOAAAAUKFrr71Wy5YtU0lJifr166errrpK/fv3V0ZGhi677LJAp+fGiCEAAGoiD0chlY32kaSmYQ30n6rMDQAAAJVWVFQky7JkWZZatmypiIiIQKdUDiOGAABBpa6u91M22ocRPwAAADXD22+/rQEDBqhRo0ZauXKl3njjDf373//Wz372M+3YsSPQ6bkxYggAEFxqwHo/Z47eYb0eAACAuueee+7RQw89pN///veSpJSUFH355ZcaM2aMBg0apF27dgU4w1IUhgAA8LOy0TuSlH2C0TsAAAB1UUZGhhISEsqda9KkiV566SXNmzcvQFmdjcIQAAC1ADuGAQAA1C5nFoVON3LkyGrM5PwoDAEAUA3M0XeV7noWHS37+TkeP+/eMawaRyBRjAIAAAh+LD4NAEB1OLn2kXJyAp1JpbF9PQAAQPCjMAQAAAAAAFBHMZUMAFDnMEWqFF8HAAAAMGIIAFDn+DpFKvQPdytx6jSF/uFuP2dWvZgqBgAAULWWL1+u22+/XVdddZX27dsnSZo3b57++9//BjizUygMAQDgqZwcudq0qVXrBfmDOfoumTeOLF1IGwAAoA6YNWuWUlNTFRsbq4SEBI0aNUpbtmyp1LPvv/++rr/+etWrV09r165VUVGRJCk3N1ezZs2qyrQ9QmEIAFCrUJwIoFq4gDYAAIAvli9frltvvVWLFy/WggULVFxcrOHDhys//8IjrmfOnKlZs2bp2WefVWhoqPt83759tXbt2qpM2yOsMQQAqF1OFiecvfsCnQkA+IU5+q7Sgmt0tOzn5wQ6HQDAaebPn1/ueM6cOUpISNDq1as1YMCA8z6bmZmp/v37n3W+UaNGOnr0qF/z9EXQFIYsyyr3EcCF0W9QG50+1PVc/+2eef3MobGlzzgnj5yz7qlMfzhfG+XjV9xGxc9UlFNlr+uMzyvf5oWOPf06AWfi5865macVvPna4FzoO4DnKuo3tm1Lko4dOybDMNznw8PDFR4efsG4uf/P3n3HVVX/Dxx/XRAQtyg4UIYLtyIIaYlKrhwt00xL06+V23Ckuf2WppWauZI0R8PUykwlt0JORCXNgSKgkiDiZo97fn/45f5k3sG9XMD38/G4D7hnfT7n3PM5430+5/N59AiAqlWrap3WwcGBiIgInJycsg0/ceIELi4uWucvKqUmMBQVFQU8icgJIfQj5UaUJE0VNZaAWlETFhamdXzWd54aplY/CXio1Uq2afJbpq5p5Fx+QWnkN09+0+s6PmsadR7rrW2Z2r7ru52MYe6DgzxUp1LZwobZVXyLJE1henLeyc4cZUuUTFJ2hNBfznJjYWGBk5MT3t7e3L59WzN8ypQpTJ06tcBlqdVqPv74Y7y9vWnatKnWtAcPHszHH3/MsmXLUKlUxMTEEBwczMyZM5k8ebJhK2QCpSYw5OLiQkREBA0aNMDS0lL7DEIIMjMzCQ8Pl3IjShQLlYXmr5ub25Oewf73Ckb6imW5xmd9zzbs5O4n3y1U2abJGq9vHnJ9/9/yC0ojv3nynV7H8VnT5Lne2pap7buW7aT5LUDzexTW45O7KW9ry+PUlDzTfPfMWu6mJwBQzaoC69v8p9BpCtOR807ecpatrP1a9mmRRcqOEPrLr9yo1WrS09M5efJkrhpD2kyaNIlLly7x559/6pQHPz8/1Go1r776KklJSfTq1QsbGxvGjBnD+++/r/9KmUipCQxl/dCWlpZysBRCT1JuREllaWmZrc2hnPtxXvv1k2FZFwEqneYpqP2PvOdXPTVEexq65UnX8eT4X580tX3Pf3nA/zdODZrfQ9+2U94J8eduWiLVrMvzvef7BeYB4G56IrY2ZZ/8n5oox7ISQs47+bO0tNTs17JPi5yk7Aihv5zlRqVSkZ6eTsWKFbGw0L0/rsmTJ7Nnzx4CAgJwdHTUaR6VSsWkSZMYN24cERERJCYm4ubmRoUKFfReD1MqNYEhIYQQwmSkwWvD5dh2uQM/2d1NS8TWxoa7qdp7+hBCCCGEMDVFUfjoo4/YtWsXO3bswNnZWe9lWFtb07hxYxPkzjgkMCSEEELkoC14IZ4wZDtJ4EcIIYQQJcmkSZP45Zdf+Omnn6hQoYKmXaJKlSpha2tb4LwpKSn4+/vz119/ER8fr2n4OktgYKDJ8q0PCQwJIYQQOUjwQjeynYQQQghR2n333XcA9O7dO9vwFStWMHDgwALnHTt2LIcOHeLll1/Gw8MjW5tGxYkEhoQQQhRr+rZRI4QQQgghhLHcv3/f4Hn37NnDli1beO6554yYI+OTwJAQQojiTdr3EU+R1/yEEEIIUVLUrl272DU0nRcJDAnxDJGaF0KIkq4oXl+T4JPQl+wzQogscr0tnvbJJ58wZ84cFi9ejJOTk7mzky8JDAnxLJGaF0IIoZW0naQbzc0PPPM3QLLPCCE0clxvS6Do2ebu7k5qairu7u6UK1eOMmWyh2AiIyPNlLPsJDAkhBBCCLMpigtmqc1hIv+7+QHkgYOJZe3DgGY/1ne/lptTIcxEHsw+04YPH05MTAwzZ87EwcFBGp8WQgghhMilCC6YtdXmkMCRKO6y9mFAsx/rXUtJz7KmS40wCTYJIUTBgoOD2bNnDy1atDB3VgokgSEhhBBCPFNy3szqe4NtjpvhnGkW19e4tAXZ3j2zljupj7E/c4Tv20oQrljTpUaY1IQQQogCNWzYkJSUFHNnQysJDAkhRAnxrDyZfVbWU5iGTgGTwt7MFsHNcK4AS840i+lrXNqCbHfTEyhva8vd1IQiztn/kxpiQghzKq6BfWEas2fPZsaMGcycOZOmTZvmamOoUqVKZspZdhIYEkKIkuJZeTL7rKynMI1iGjDRV2lpzLg4BmFKy7YtCYrj7y+E2ZWS85TQzRtvvAHAK6+8km24oiioVCru3r1rjmzlUmoCQ37//Ex4YpxUTRZCCCGE2elb86201pQzRxBGghHFR3EIwpXWsiVEYUitpaKzY8cOc2dBJ6UmMHQ/PdHsVZOFKIy8ehwR5iM3FkKILAbdWOpb860E1JTLeSNh1GUa8cakOAQjRDFSAsqWEEUuj1pLEkQ1jeeff97cWdBJqQkMCVHS5dXjiDAfubEQQmhoubF8ZgL7pnj9wQg37doC+YW92THF71tSb8BKw0OT0rAOovTJuV8a+xihU2Bfy/G4pB63zO3o0aMFji8ugSMJDAlRguh7MSMXP+ZTUnoQEkIUni6BfTke68aQ7aQ1kF/I4JNJHtyYoBZLUdy0FfVDE13Onfqud851KC1ls7Ssx7MqV9nKcYzQ9/fNVS6MEdiX2ncG6dOnT65hKpVK87+0MfSUb7/9lmXLlhEXF0fz5s1ZuHAhHh4e5s6WMBNz3EAX15v2nCcBfS/IimOtl5L6tEHvfJeQHoSEEEWjKG5Gcy6zsA8TzHGjmXM7FcdzhiHXDEWyHoW8kTQGo6epy7nTSIE/U14rlcagnShaev++5ug9U+QpMjIy2/eMjAzOnTvH/PnzmTFjhplylZvZA0O//fYbM2bMYPHixXh4ePDNN9/Qt29fTp06hb29vbmzV+yVygJpjhvoHGkWl0BRqTzJF4OnDQa9FmCGfJfK8p2H4njjJ4SpmeL4nnOZ2oIs2h4+FItzUHE89upwnZJrGWZYD22/nynOMfqm+ayc53L+/qXlvFda1qOwnpn9OIfSWvvO2CpXrpxrWOfOnbG2tmb69OkcPny46DOVB7MHhlauXMngwYMZNGgQAIsXL2bv3r388MMP+Pn5mS1fxfVAlzNfxeKirZCK5baW2h3FSmFPNPmVGzBfe066BKcKe1Gvy3Yzdvkz6LcqBsFCIZ4JOcpaSbyGKIr2nIyxXUrCtjXHTV2xDD7qwFQ1oUr8ea8I1qM43Cdoy0Np7X1R3zRKSnkuLuzt7QkPDzd3NjRUiqIo5ko8LS2N2rVrs2HDBnr16qUZPnLkSB4+fMhPP/2Ua57U1FRSU1M137Oyf8fXmyo3Y1EUheo2FQufubt3wdISMjOhWrXCL89YcuQrPvUxKpVKs9730hJRK2osVBbYWZc3d24BtOcp57bO+g5Ft/1zpglFnoes3xLQ/J45f199f++c0+fa1opCekYGVmXKwFPvuhZGzjzlyqMBZSvXeugrn3ID5LtMrdtOzzRz7mPxFawLnQdt+4NO283Ix7pcad6/D2r1k5EWFlC1qu7bytjf/7ft89p22ratvmnmuY/pOI+hecqVZkJa7uOYlmVq+65znvRIs7B50mW9C5umMX5vo21bPfZrY29rXc6VJtunCtjWhU5Dy3HMkH3MWMeQfPNgxG2p8+9twvKb73WNLteEOfKg7bpD63rnQds0el/7aDv35nXuzHnNljXN/8YX+lopD3pfw5uCidPIWkfA4PU0uLyD8cqrtjzrcq9jpGPIvaoVcP0nMneezCAzM5OwsDDc3NywzFpfQK1Wk5KSQsWKFbGwsDBpHv75559s3xVF4fbt23z11VdkZGSwe/duk6avK7MGhmJiYmjatCl79uzBy8tLM3zWrFkcO3aM/fv355pnwYIFLFy4UPO9QoUK/PPPP6S7N6N65L9Fkm8hhBBCCCGEEEJkd6d6Jarcijd3NoDiERiys7PTBNCe5unpyfLly2nUqJFJ09eV2V8l05efnx+jRo3SfM/awA+qVoCEyjpH8vV9upCnHJF6bbRG3XMsL88IdiGjx9pqFOhS40jbMgx+GlRQjSEtv5e2fOv8xCMrTciVB6Olkc/yDHkKqneNEQNqzmil5YmVMfKg7z6k69NCfba1rr+frk/386wxZOKaFbocU7Rte237tbYnzvcqltWeB6kxJDWGpMaQ1BgqwhpDptjHpMaQYdcxpsiDKda7sPt5ftcUmnPj4xTt16FGqAmljb7XX/reh+hEz+sUfWvT51W2Cr2tzVBjSO9zBpjsfH2/agWq6PbrPhNCQ0OzfbewsKB69eqULVvWTDnKW4l7lSwntVrN48ePee+fjaRYqklOTSGg/YRc74L2PLYEWxsbklNTCWjvh0X/AZp3YtVbftY6Pq932nNOo03ONHK+t5lfngCd851rPbRsB23fdVmPwn7PuU5Z34Fcw3Rdb215zilnmkCuPGj7/XRNQ9s6PP17m3pb9zy2GFubstnS1CZXN+z67pO67Od67rf6lmdDtnVh1zPnPtbjQ2+9y7e+edBlH8vvWJfffq3rcSvn8vVZb1N9L6g867vttX3XZVsX9vfWlubur04W+lhqaJ70SdPY+3Ve622q8mzU87WB+2BB62nsbW3IuTL39yfnHc31WjE8fhtjHzPWMUSfawRjlzVjHDuNdd1izOO3MdI01rWuPsdvfcuOtvN3ft+BfK8B9N72Wq7n8qLtOkPbdYq+1+vGKFuGlndTli1taeZ1/DZ2WSoOikONoZLCrDWGrK2tad26NYGBgZrAkFqtJigoiOHDhxdu4UZuDE2Xxmr17WmhSBroKuR2KC69c+lL27Y3RkN22n6/4tBYnkkURYOJpaVRxhJI234tDQsKIYQQJY+2hr9N0jGHluu5vIJRxr4OkesWYQ6rV6/WedoPPvjAhDnRndlfJRs1ahSjRo3C3d2dNm3asGrVKhITEzW9lJUkJbWnhQKV0N65tG57CW7oTLqeFEIIIYQQxlYceokVwhRWrtStUoBKpZLAUJbXX3+d+Ph45s+fT1xcHC1atOCXX37BwcHB3FkT4pmUMxBUKgKcQgghhBBCCFEE/v77b3NnQW9mDwwBvP/++7z/vmE1ETIyMgCoYV2RVEs1KYoNmZmZKDVqoKpWDSUjE3VmJrWsK1PW2ooUpWyhxgM6L0Pf76ZIs7B5zJofMNp6astjXmmaelvnTBMo9Hrnl4a25T39e5t6Wz8Zb50tTWvK4FqxOimp6UZdL3Pu57qkaeyypG0fM2S9jVUOjHkc0zXP+qy3qb4XVJ713fa6lgN91tPo+7UJjqX6/t7GWE+992sj/N6GHveK8jhmyPnZ2NcEhp8rrQt9vWbK47cx9jFjHUP0uUYwdlkzxrHTWNctxjx+m+PaV+9jSL550L3sGOMawVTXX8bcr4tivY19ziiKsmXIvY6xy1JxkJmZiaWlZa78ZH3PyMjA+n/3QkUhq3nnrAbPixOzNj5tDGlpaSQnJ5s7G0IIIYQQQgghhCghbG1tiyQw9PPPP/P1118TEREBQP369Rk7diwDBgwwedq6KhY1hozBysqK8PBwGjZsmK3FcSFE/jIzM7l69aqUGyH0JGVHCMNI2RHCMFJ2hNBffuVGURRSUlKKJA8rVqxg/vz5DB8+HG9vbwBOnDjBxIkTuXfvHqNGjSqSfGhT4gNDVlZWJCcno1KpUBQFlUpVLKtmCVEcSbkRwjBSdoQwjJQdIQwjZUcI/WkrN1ZWVibPg7+/P4sWLcpWO6hnz540adKEBQsWFJvAkIW5MyCEEEIIIYQQQghR2ty+fRsvL69cw728vLh9+7YZcpQ3CQwJIYQQQgghhBBCGJmrqyvbtm3LNXzbtm3Uq1fPDDnKW4l/lUwIIYQQQgghhBCiuPn4448ZNmwYx48f17QxdPLkSQIDA1m3bp2Zc/f/pMaQEEIIIYQQQgghhJFcvHgRgJdffpn9+/djZ2fHrl272LVrF3Z2dhw4cIDevXubOZf/T2oMCSGEEEIIIYQQQhjJCy+8QJs2bXjnnXd4/fXX8ff3N3eWCiQ1hoQQQgghhBBCCCGMZOfOnTRu3JiZM2fSpEkTRo0axbFjx8ydrXxJYEgIIYQQQgghhBDCSNq3b8/y5cu5dOkSCxcu5Pr16/Tu3RtPT0+++uqrYtUjGUhgSAghhBBCCCGEECJfR48eZcCAATRp0oSqVauya9curfMcOXKEnj17MmHCBGJiYpg1axavvPIKa9asoUWLFrz11ltFkHPdSGBICCGEEEIIIYQQIh9JSUk0b96cL774Qqfpr1+/zptvvkmHDh0ICgpixIgRfPrpp7Rp04ZJkyZRoUIF9u7dq3c+EhMTOXr0qN7zaVNqGp/OzMzM9lcIoZ2UGyEMI2VHCMNI2RHCMFJ2hNBffuVGURQAHj16hEql0gy3sbHBxsYmz2V17dqVrl276pz2d999h5OTE59++ikA8fHxODo6MmTIEMqVK8drr73G22+/rdf6AERERPDyyy9z9+5dvectSKkJDEVERAAQHh5u5pwIUfJIuRHCMFJ2hDCMlB0hDCNlRwj95Sw3KpUKZ2dnmjdvTkJCgmb4lClTmDp1qlHSPHXqFG3btmXRokVs2rSJiIgIXF1dsbKy4tKlS5QvX94o6RhLqQkM1atXj2vXrtGgQQMsLS3NnR0hSoTMzEzCw8Ol3AihJyk7QhhGyo4QhpGyI4T+8is3iqKQlpbGP//8k6vGkLGEhoZy8uRJ7O3tefPNN3n77beJjIzkzTffxMIi/xZ9XF1dC1yuqWoNlprAUNYPbWlpKQdLIfQk5UYIw0jZEcIwUnaEMIyUHSH0l7PcZL1KVqlSpWyBIWNSqVS88cYbrFy5UpN2ZGSk1vnS0tIYNmwYTZs2zXP8zZs3WbhwoVHzCqUoMCSEEEIIIYQQQghhbq1atcLOzi5bQOrOnTtUrFgRW1vbfOdr3rw5jo6O+fZYdv78eZMEhqRXMiGEEEIIIYQQQggjadu2LYGBgdmGHTp0CC8vrwLn69atGw8fPsx3fNWqVRkwYIBR8vg0CQwJIYQQQgghhBB6UBSFHTt24OHhgbu7O/fu3TN3loQJJSQkcP78ec6fPw886Y7+/Pnz3Lx5E4C5c+cyYsQIzfTDhg3j+vXrzJo1iytXrrBmzRp+//13Ro4cWWA6EydOZMqUKfmOr1OnDitWrDDCGmUngSEhhBBCCCGEEEJHp06dokuXLvTt25fz589z4cIFpk+fbu5sCRMKDQ3Fx8cHHx8fAKZPn46Pjw+fffYZALdv3yY6OlozvbOzM5s3b+bw4cN06NCBFStW8PXXX/Piiy8aNV/9+/cnNja20MuRNoaEEEIIIYQQQggtrl27xsyZM/nll18AKFu2LAMGDGD9+vWsXbuWd955h/bt25s5l8IUXnjhBe7fv5/v+JUrV+Y5T1BQkCmzxfHjx0lJSSn0cqTGkBBCCCGEEEIIkY/4+HgmTpxIy5Yt+eWXX1CpVAwePJiLFy/i7+/P0KFDARg9ejTp6elmzq0Q+pMaQ0IIIYQQQgghnmkZGRncu3eP+Ph47t69q/lERESwevVqHj16BED37t2ZN28eLVu21Mw7f/58duzYwYULF1i6dCmTJk0y12oIYRAJDAkhhBBCCCGEKPWOHz/O9u3biYuLyxUEevDgQYHztmrVigULFuTZRky1atVYsGABw4cP55NPPuGNN97AxcXFRGshhPFJYEgIIYQQQgghRKmkVqvZuXMnixcv5tixYwVOq1KpqFq1KtWqVcv2efHFF3nzzTexsMi/JZZ33nmHjRs3EhQUxIcffsjWrVuxsrIy9uoIYRISGBJCCCGEEEIIUSokJCQQFhbGpUuXuHTpEtu3b+fKlSsAWFtb079/f5o2bZor+FO9enWqVq2KpaWlQemqVCqWLVuGp6cnAQEBuLq6MmjQIAYPHkyzZs2MuYpCGJ0EhoQQQgghhBBClFhqtZodO3awePFijh8/nmt85cqVef/99xkzZgy1atUyWT6aNGnCqlWrmDZtGnFxcSxZsoQlS5bg7e3Nxo0bcXV1NVnaonQYM2YMn332GRUrVtRpej8/P6pWrVrodKVXMiGEEEIIIYQQJU5aWhobNmygVatW9OvXTxMUcnBwwMfHh/fff5+VK1dy7do15s2bZ9KgUJbBgwcTGRnJr7/+Sp8+fShTpgwnT57kjTfeICkpKc95bty4QWZmpkHpxcfHs2PHDn7++Wfi4uIKk3VRDGzatEmv7ucnTJhA5cqVC52u1BgSQghhMoqi8PDhQ+Li4oiPj+fOnTs8fPgQFxcXWrVqZZQTmRBCCCFKHkVRuHfvHjdu3CAqKoobN24QExODi4sLrVu3pkWLFpQvXx6Ahw8fcuXKFcLCwrL9DQ8PJzU1FXhSK+iDDz5g5MiRODo6mnPVsLKyok+fPvTp04eoqCheeOEFzp8/z6hRo1i3bh0qlQp4UtNp8uTJLFu2DG9vb7Zs2aI1eKUoCgEBAezYsYOjR48SFhamGadSqWjbti09e/bkpZdeonXr1pq0RMmgKIpZ0pXAkBBCCJ0pisKjR4+4c+dOrk98fLwmAPR0ICg9PT3f5dWrV4+WLVvy2muv0a9fP8qUkdOSEEIIUdJERETw0Ucfce7cOWxtbSlXrhzly5enXLlymk9WkOfmzZuaQFBCQkK+y7SwsKB+/fo8fvyY2NjYfKerXbs248aNY/jw4VSqVMno61ZYLi4u/Pjjj/To0YOffvqJ5557jhEjRpCamsqwYcPYunUrACdPnuS5555j69ateHl55bmsK1eu4Ofnx759+7INb9y4MWXLliU0NJTg4GCCg4OZM2cOjo6OvPTSS7z00kv4+vpqfgNRvCUkJGBjY1PgNMbe11WKuUJSRpJ1k2Jtbc2VK1dwc3MzuMEwIZ41mZmZhIWFSbkRwJPq2EeOHOH69et5BniyPmlpaXovu0KFCjg4OFC9enUqVqzIh0/0XgAAIABJREFU1atXuXHjRrZp6tevz6RJk3j77be1ngzNTcqOEIaRsiOEYYq67Dx+/JjQ0FDCw8O5du0a165d48aNGzRu3JghQ4bQoUMHVCoVGRkZfP3118ydO5fk5GSD0qpZsyZOTk44OztTo0YNrl27xtmzZ3MFg2rVqkWjRo1o1KgRbm5umv+dnZ1LxPFkyZIlTJkyBSsrK7Zt28bixYs5ePAgVlZWzJs3j3Xr1nHp0iWsra1ZsWIFQ4YM0cyblJTEggULWLx4MWlpaVhbW/Pee+/h6+tLu3btqF69OgC3bt1i9+7d7Nq1iwMHDmR7dc3W1pYJEyYwZcoUypYtW+Trbw75lRtFUUhOTqZSpUrFrkaVnZ1dgXlSFAWVSsXdu3eNmq4EhoR4hskFeumWmJjIgQMHuHz5MmFhYYSFhXHr1i2aN29Ohw4d8PHxoVWrVhw7dowtW7awbds27t+/r9Oyy5cvrwn02NvbY29vT/Xq1TXDHBwcNMPs7e2xtbXNtYy7d+/y999/89dff/HNN99oTnC1a9dm4cKFvPnmm0bdHsYkZUcIw0jZEcIwpiw7qampnD9/npCQEE6dOkVISAiXL18u8JWW+vXrM2DAAAICAjh79iwAnTp1Ytq0acCTa5CkpCTNJ+t7ZmYmdevWxdnZGWdnZ5ycnPINUsTGxvLPP/9QpUoVGjVqVCxrA+lDURQGDhzIr7/+qhlWoUIFtmzZQpcuXXj8+DFDhw7ljz/+AJ4EwjIyMkhLSyM5OVnzYK5bt24sWbKEhg0bFpheSkoKQUFBBAQEEBAQQFRUFAANGjRg6dKldO3a1TQrWoyU1MDQxo0btTYo/fzzzxs1XQkMCfEMkwv07DIzMwkNDeXgwYMcPXqUMmXKULduXRwdHalTp47mU7t2baytrc2d3XwpisL27duZMGEC0dHRBU6rUqmyXfjVqFGDNm3aZAvqZH2eDgSVK1fOqHlOTExk7dq1LFmyhH///ZcyZcpw9OhR3N3djZqOsUjZEcIwUnaEMIyxyo5areby5cuEhIRoPufOncuzNnDdunVp0qQJ9erVo379+tSuXZuDBw+yZcsWHj9+rJmuSpUqfP755wwZMqTY3WQXN48fP+b555/n8uXL2Nvbs2PHDtq0aaMZr1armTdvHp988kmueevWrcuXX37Jq6++qvd2VhSF3377jYkTJ3Lr1i0A+vfvzxdffFEkDXKbS0kNDIWFhWFvb1+k6UpgSIhn2LN+ga4oCleuXOHQoUMcPHiQwMBAnWvM1KhRgzp16uDo6KgJHuX83xzBo8jISPz8/AgICACeXES88MILmirXNWvW5PTp0wQFBXHkyBHu37+PnZ0dr732Gv3798fHx8es+0Jqaipvv/0227dvp3nz5pw4caJYBuGe9bIjhKGk7AhhGEPLjlqt5vTp0+zevZugoCDOnDmTLaiTxc7OjrZt2+Lh4UHbtm3x9PSkRo0aeS4zMTGR3377jU2bNlGjRg0+++wzatasafC6PWtu3rzJ+vXrGTRoEPXq1ct3mvj4eKysrLC2tsbKyoq6desWui3GR48eMXfuXFasWIFaraZSpUp88sknvP/++5r9SlEUdu/ejb+/P56enkybNk3n4Mm///5r9oa/nyaBId1JYEiIZ1hpvEBPS0sjMDCQCxcukJ6eTnp6OhkZGbk+9+7dIygoKFeNmsqVK+Pj40OnTp2wsrIiOjqa6Oho/v33X83/Wb1faNOgQQO++uorunXrpnVaRVFITEzk0aNHmk9iYiLu7u5UqVJFp/VesmQJ8+fPJzk5GSsrKyZOnMjUqVPzrd2jVqu5ceMGjo6OWFlZ6bROReHOnTu0bt2aO3fu8PHHHzN37lxzZymX0lh2hCgKUnaEMIw+Zefu3bvs27eP3bt3s2/fPu7cuZNtfLly5WjTpg2enp6aj6ura7G7QRamc/bsWUaNGsXp06cB8PDw4Ouvv+bq1at8+eWX/PPPP5ppZ86cycyZMwtcXlJSEhMmTODXX38lODgYV1dXk+ZfVyUxMNSqVSsOHTqEnZ1dkaYr3b8IIUqMBw8ecODAAQ4ePEhqaiqurq64urpSr149bt26xfbt2wkICODhw4c6L9Pa2pr27dvj6+uLr68vbdq0KfBpjKIoxMfH5xkwyhk8Cg8Pp3fv3kyePJm5c+dqlpuUlMTatWv58ccfiY+P1wSC1Gp1rvTs7e355ZdfaNeuXb55CgwMZOzYsVy+fBmAjh07smzZMho3blzgultYWODi4qLDVipa9vb2LFu2jAEDBvD555/z8ssv4+HhYe5sCSGEEPlSq9WcP3+eQ4cOERgYSNmyZRk2bBhdunQx+Y2nWq0mNDSUP//8kz179hAcHJztmqJSpUq8+OKLdO3aFW9vb5o0aSK9gD7j3N3dOXLkCP7+/sycOZPTp09na7OmQoUKdOnShd9//51PPvkEOzs7Ro8eneeyLl68yMCBA7l48SIqlYrDhw8Xm8BQSbR///4Cg0IZGRn8/fffRr82lhpDQjzDTP3kNjExkZ9++omrV6/SrVs3OnXqpNeFSGZmJmfOnGHPnj3s27eP4OBgMjMztc5Xo0YNfHx8KFeuHGXKlMHKyooyZcpk+5QtWxYvLy/at29v9PZyFEXhzp07zJs3j1WrVgHQvn17Vq5cyc6dO1m6dGmup3dZLC0tqVSpEpUrVyYlJYXY2FhsbGzw9/fnrbfeyjZtbGws06ZN44cffgDAwcGBhQsXMnDgwGL39MMQb7/9Nlu2bKFJkyYEBwcXq57KpNaDEIaRsiNKi/v373PmzBnOnDlDSEgIR44cyfPc3qhRI0aNGsU777xDxYoVDUrr4MGDfP3116SlpdG2bVuaNm2Km5sbV65cYc+ePezZs4e4uLhs8zRv3pwePXrQo0cP2rVrV6xqBoviJSYmhsmTJ7Nlyxbs7e0ZM2YMI0aMoGrVqnz66af897//BWD9+vUMHDhQM5+iKGzYsIHx48eTnJxMzZo1Wb9+Pb6+vuZalVxKYo2hatWqadqggif3EFu2bKFOnToAxMXF0aRJE+mVLCcJDAlhuIIu0FNTUzl16hQnTpwgKSkJS0tLzadevXp07NhR0zVmTpGRkXzzzTesW7eOBw8eaIbXqFGDfv360a1bN27evMk///zDP//8Q2RkJPb29ri4uODq6kqNGjUICQnhwIED3Lt3L9uy3dzc6N69O3Z2dkRFRREREUFkZCQ2Njb06dOHV155BW9v72JzHPj111/54IMPePToUbbhrq6uTJgwAQ8PDypWrEjlypWpVKkStra2mhNUYmIiQ4YM0fROMWPGDMaOHcuOHTvYunUr+/fvJzMzE5VKxXvvvccnn3yitQeDkiQ+Pp7WrVsTFxfH5MmTmTdvnrmzpCE3t0IY5lkoO//++y/ffPMNlpaW9O7dmzZt2mBhYWHubIlCePDgAWfPnuXMmTOcPn2aM2fOEBERkWu6cuXK0aFDBzp37kx0dDQbNmzQtOdTsWJFBg8ezMiRI2nUqJFmntu3b7Nt2zbOnj2Lp6cnL730kuYG8PLly0ydOlXTbmBBKlSowIsvvkiPHj3o3r27ZhlC6CoiIoJatWpl60lWURQmTJjAihUrKFOmDDNmzCApKYnr169z9epVzpw5A0CXLl1Yt25dvu1SmUtJDAzlbGOobt26/PXXX5pa/nFxcTRu3DjXPVJhSWBIiFJOURRSU1NJTEzM1nVoYmIiCQkJXL16lSpVqpCSkkJiYiJ3797l5MmTnDx5kpSUlAKX3aJFCzp16kTNmjWJjo7m5s2bREdH8/fff2t6uqpfvz7t27cnICDAoMh2pUqV8PX1pXv37nTt2hUnJyeDtoM5Xbt2jUGDBnHmzBnc3NyYMmUKAwYM0Kn2lFqtZvr06SxatAh48vrX09XDvb29WbRoEV5eXibLvzn9/vvv9O/fHwsLC4KCgorNej4LN7dCmEJpLjsJCQksWrSIJUuWkJSUpBles2ZNevXqRa9evfD19TV6LVVhuLi4OBYtWsTBgwdxdHTUdNRQu3ZtLl26pKkRFB4enuf89erVw93dHQ8PD5577jm8vLyydZjw+PFjfvjhB1auXElYWJhmePfu3encubOmQeicr5K3aNGCxo0bs23bNjIyMihTpgzDhw+nfPny3Lt3j8uXLxMWFkbNmjU1tYLat29fLDtrECWfWq1m6NChbNq0Kdc4S0tL5s6dy6RJk4plALy0BoakxlAeJDAknhU3b95kz549xMbGkpiYSHJycp7Bnqz/n/6eV9s1unBwcOD555/H3t6ezMxM1Go1aWlphIaGcuHChQLn7dq1K2PGjKF79+5YWFiQnp7O/v37+fnnnzl16hT169enWbNmNG/enIYNG3Lnzh2ioqKIjIwkOjqaxo0b061bN7y8vEpF9ef09HQuXrxIixYtDDpxrlu3jtGjR5ORkUGTJk3o378//fr1y/bUsbQaMmQImzZtws3NjeDg4GxPssylNN/cCmFKpbHsKIrCunXrmD17Nrdv3wagXbt21KxZk3379pGQkKCZ1tbWFl9fX3r37s3LL79c5L3OiCfi4+NZtGgRq1atyhbEK4iLiwtt2rShTZs2eHh44O7urnPjsIqicODAAZYvX86ff/5Jztuvtm3b0qFDB44fP86JEyeyje/VqxcLFiygQYMGpa7siJIjPT2djz76iMjISJydnXF2dsbJyYk2bdrk27NacSCBId1JYEiIYiQ1NZWkpCRSU1NJTU3l/v377N69m+3bt2t6DSgMa2trypcvT/ny5bG1taV8+fIAVK9enfLly1OuXDkqVKhA69at6dChA25ubvkeLOPi4ggMDCQoKIiEhATq1Kmj+TRt2lQanTOBq1evkp6eTtOmTc2dlSJ17949WrduTWxsLBMmTGDBggXmzlKpvLkVoiiUxrIze/ZsPvvsM+BJb5Tz5s3j1VdfRaVSkZqaSmBgILt27WLXrl3cuHFDM1+tWrUIDg4udq9elHSXLl3CwsICNze3XOPu3bvHkiVLWLFihSZg17ZtW0aPHs2jR4+4cuUKV69eJTo6moYNG+Lh4aEJBlWrVs0o+bt27RqrV6/m4sWLdO7cmb59+2brCCI+Pp49e/bw999/06NHD017LaWx7AhhaiUxMFStWjVCQkKoVq0aiqLQokULAgICNG9N3LlzBy8vLwkM5SSBIaELRVFQFKVYVnFMT09n586drF27ln379uV6ipRFpVLRvn17mjZtmi2wU65cOc3frP/zG5/z1SW5yBAlxc6dO3n99dc1vV0U1EtbUZCyI4RhSlvZ2bhxI8OHDwfgv//9LxMmTMj3dR5FUTh37hy7du1izZo1REdHs3DhQvz8/Ioyy8VWUlIS06ZNY/PmzbzxxhtMnDgxV8+ZN27cYN++fTg6OvLCCy9QoUIF4Mm23bdvH1988QWBgYEAPPfccwwfPpw33niDtLQ0li5dyrJlyzRt/rm7uzN79mxeeumlYndjmJfSVnaEKAolMTBkZ2eXLU+KouT5XQJDOUhgSOTl1q1bBAcHc/r0ac0nNTWVTp060a1bN7p37079+vWNkta9e/c4fPgwgYGBJCQkULNmTWrVqkXNmjWpXbu25nvW6y9JSUlERUURFRXFkSNH+P777zVVz7OoVCpsbGywtbXF29ubV155hd69exv9qaJcZIiSZNiwYfzwww80aNCAkJAQs7bTIWVHCMOUprITGBhIz549Na9YfPrppzrP6+/vz5gxY2jZsiUhISEmzGXJcPbsWQYPHpytHR5LS0veeustRo4cyZkzZ/j55585evSoZryVlRXe3t60b9+evXv3EhoaCqB5CJaRkQFAlSpVADSdYbRo0YJZs2bx8ssvF7sbwoKUprIjRFEpiYGhp49zBXn++eeNmq4EhkSJl5mZyYULFzh+/DjHjh3j+PHjREVFaZ2vQYMGmiBRx44ddb7JTEpK4ujRoxw4cIBDhw4RGhqaby2fp1WuXBkbG5tc3YnCk966hgwZwpAhQ3BxcaFMmTJFcpCSiwxRkty/fx93d3du3brFe++9x/Tp06lVq5ZJykpgYCAVKlTAw8Mjz/FSdoQwTEktOzmf2IaFheHj48P9+/fp27cvP/74o161ku/du4eTkxNpaWmEhITQsmVLvfJz//59Nm/eTKVKlfDy8qJ+/frF7uZGF2q1msWLFzN79mzS09OpWbMm06dP5/fff+fAgQO5plepVHh7exMTE8P169ezjStXrhzDhw9n/PjxWFlZsWHDBr777jsiIyMBaNKkCbNmzeK1114rljXItSmpZUcIcyqJgSFzkcCQMJmkpCT+/PNPfvvtN8LDwzWNF2dmZmr+z/pepkwZ6tSpg5OTk6ZBs6xGzerWrYuVlRWKovDw4UNu3bpFdHQ0p06d0jTSl7MrcAsLC5o1a4anpyeenp54eHhgYWHBvn372Lt3L0ePHtU8SQKwsbGhQ4cO9O7dmz59+lC3bl3NuPT0dEJCQjh48CCHDh3ixIkTpKWlZUuvSZMm+Pr6UqtWLWJjY7l16xaxsbHExsYSExNDcnJytukrVaqEq6srDRs2pH///vTq1cssDSzLRYYoaf78809eeeUVzfcqVarQrFkzvL29mTNnDmXLli10GmfOnOG5557DxsaG06dP59nAt5QdIQxT0spObGwsU6dOZevWrVSpUgUnJyecnJw4e/YsUVFReHt7s3fvXoMaxe/fvz+///67Xm2nKYrCTz/9xEcffcSdO3c0w6tVq0bbtm3x9PTEy8uLtm3b6tQmTmJiIseOHdPUfI6Li2Pjxo0899xzeq+PrhISEjh48CC7d+9mz5493Lx5E4BXXnmFVatWUb16dQBOnTrFggUL2LVrF61atWLAgAH069ePOnXqoCgKERERHDp0iGPHjlG/fn1GjBiRa53VajWBgYFkZGTg6+tbIva5/JS0siNEcVAaA0N///038+fPZ/PmzUZdrgSGRC7JyclkZmaiKApqtVrTPs/T35OTk/Ps/SqrC/TAwED+/PNPnXt6KIiFhQUODg48evQo3+VVqFABb29v2rVrR/v27fH29qZixYr5LvPRo0ccOnSIvXv3smfPnmyNQQK0adOGzp07c+nSJf766y8eP36cbXzdunXx9fWlc+fOdO7cmVq1auWbVlZAKyYmhpSUFJydnalatWqxOAjJRYYoib7++mv8/f0JDw/P1uPe559/zocffqjTMh4+fJjvxUCvXr3Yt28fAD4+PuzduzfX02UpO0IYpqSUnczMTPz9/Zk1axYPHz7McxoXFxeOHDmCg4ODQWls376dfv36Ubt2ba5du6Z1e1y5coWxY8dy6NAhABo1akSVKlUIDQ3N9cAKntSMzgoUeXl50apVK9RqNSdOnNAEgk6dOkV6enq2+ezt7Tl27BjOzs4GrVdOiqIQFhbG7t272b17N0eOHMmW34oVK/Lll1/y7rvv5nlMzllb61lVUsqOEMVJSQ0MHThwgMOHD2NlZcXgwYNxcXHhypUrzJ07l927d+Pr68vWrVuNmqYEhkqZtLQ0kpOTsbKywsrKKs9XkhRFISYmhmvXrhEREcG1a9c0/0dERHD//n2j5cfFxYXXX3+dDh06YG1tjYWFBZaWllhaWmb7Py0tjRs3bnD9+nXN36xPampqtmVWrVqVmjVr0qJFC9q3b0+7du1o0aJFroaVdaUoCpcvXyYgIIAdO3Zw/PjxXK+G2dnZ0alTJ00wqEGDBsXyIKIvucgQJVlKSgphYWH8/PPPLFq0iNq1axMWFoaNjU2B8+3fv58+ffrw1ltvsXbt2mxlOTAwkK5du1KmTBmsra1JSkrim2++YdiwYdmWIWVHCMMU97ITFxfH4cOHWbRoEWfPngXAw8ODL7/8kvLly3Pjxg1u3LhBXFwc7777bqG6aU5LS8PJyYl79+4REBBAly5d8pwuJSWFzz//nM8//5y0tDTKli3L9OnT8fPzw9ramrS0NM6dO0dwcLDmEx4enms5VlZWWFhY5LqucnJyomPHjnTs2JHly5cTGhpKs2bNCAoKyvWQTa1W6/waVkJCAgsXLmTLli2a17my1KtXjx49etCjRw86duxoUI2rZ01xLztCFEclMTD0/fffM378eKpWrcqDBw+ws7Pj008/ZcqUKbz22muMGDEiz14XC0sCQ6VATEwMu3btYufOnRw4cCDXCT8rSJT1SUxMzPVqk76sra3z7A0r6/9GjRrRt29f2rRpU6jCplariYuL49atW1SuXJlatWqZvMHZ27dvExAQwPHjx2ncuDGdO3emVatWJfJ9dG3kIkOUBqmpqbi5uXHr1i1Wr17N0KFD851WrVbj5eXFuXPnAFixYgXvvfce8OR84uPjw8mTJxkxYgT169dn8uTJVK5cmXPnzmWrGShlRwjDFLey8+DBA4KCgjh8+DCHDh3iwoULmnGVK1fm008/Zfjw4SbL67hx4/jmm28YOHAg69evzzX+wIEDjB07VhPo6d69O0uXLtUakLp37x4hISEEBwdz6tQpTp06RXx8PAC1a9emY8eOdOrUiY4dO+Lq6qq5VouOjqZ9+/bExsbSs2dPfv31VywtLbl8+TILFixg69atjBs3jvnz5xd4fRcQEMC4ceM0NbKtra3p2LEj3bt3p0ePHjRs2LDY3YwVd8Wt7AhREpTEwNDzzz/Pm2++ybhx4/jjjz9499138fT0ZN26dTg6OposXQkMFWOKopCWlpbr6beiKFy4cIEdO3awc+dOTp06pfeyLSwscHZ2pl69etSvX5969epp/ndycsLKygqVSqX5WFhY5PouSj65yBClxZIlS5gyZQoNGzbk3Llz+e7Pv/32GwMGDEClUqEoCjY2Nhw5coRWrVqxc+dOXn/9dWxtbbl8+TIODg506NCBkJAQXnvttWzvckvZEcIw5i47iYmJHD16lEOHDnH48GHOnj2b7ZVUeNJrVdeuXfHz8zN6b6A5nTx5kg4dOlCuXDmio6M13a/fvn2bjz76iE2bNgFQq1YtFi1aRN++fQ26iVEUhcjISBRFoV69egUuIyQkBF9fX1JSUhg6dCiJiYls3bo1W23qefPmMXny5FzzxsTEMGHCBH799VfgSc3xefPm0bNnT8qXL693vsX/M3fZEaIkMnZg6Ntvv2XZsmXExcXRvHlzFi5cmG9HJQCrVq3iu+++Izo6Gjs7O1555RVmzZpVYJuYjo6OHD9+HCcnJxRFoUaNGvzxxx8mbfsNwLB3b4TRpKSkcP36dSIjI4mKiiIyMlLziYqK4uHDh1SpUkXTGLOdnR2BgYG5quR6eXnRu3dvevfuTYMGDUhPT8/1SUtLIz09nbJly+Lk5IS1tbWZ1loIIYxr+PDhLFiwgKtXr/L777/Tt2/fXNNkZmby3//+F4CpU6cSGhrKn3/+ycCBAzl27BizZs0CYPTo0ZraQatWraJdu3Zs27aN7du3Z2v4WghR/Ny8eZMlS5aQmJiIvb09Dg4OVKtWjfDwcA4fPkxwcHCuNnUaNWpE586dNa9T2dvbF1l+vby8aNCgAeHh4Wzbto1Bgwaxdu1apk+fzoMHD1CpVIwaNYo5c+ZQuXJlg9NRqVQ6v/bm6enJ2rVrGTRoEOvWrdMM79OnD25ubnz55ZdMnz6dGjVqMHjwYOBJbcy1a9cybdo0Hj58iKWlJePHj2fmzJkSEBJClAq//fYbM2bMYPHixXh4ePDNN9/Qt29fTp06led5Y+vWrcydO5dly5bh7e1NeHg4o0ePRqVSMW/evHzTSU5O1rxeq1KpsLGxoWbNmiZbrywSGDIxtVpNTEwMUVFRREREZAv+REVF8e+//2pdxoMHD3jw4AF///23ZljZsmXx9fWlT58+9OzZM1fjx8bomUcIIUqKihUrMmrUKObNm8fnn3/O66+/nusJ0C+//MLFixepXLkyfn5+ZGRk0LZtW65evcoLL7xAWFgYlStXZtKkSZp5WrVqxcSJE1m4cCFjxozByckJd3f3ol49IYQWGRkZLF++nLlz55KYmFjgtE5OTnTu3JlOnTrRqVMnk1bN10alUjFo0CDmzp3LihUr8Pf35+TJkwC4u7uzcuXKAp9Gm0q/fv2Iiopi9uzZ9OnTh48//pjWrVsD/9/F/AcffICDgwN169Zl9OjRHDt2DHjSJtOqVas00wshRGmwcuVKBg8ezKBBgwBYvHgxe/fu5YcffsDPzy/X9MHBwXh7e9OvXz/gybmnb9++hISEaE1r48aNmhqkGRkZ/PTTT7l6Xfzggw8Ku0rZlJpXySwtLbl27RoNGjQwevXKrMaJT548SY0aNWjUqBHOzs6axo4fPnyoCfhERUVpPpGRkXk2npxT+fLlcXV1xcXFRfPJ+l6jRg1u376taZT59u3buLu74+vrK09gRKFlZmYSHh5uknIjRFGLj4/Hzc2NpKQkdu7cyYsvvqgZl5GRgYeHB1euXGHWrFl8/PHHABw9epTu3buTmZkJwJw5c5gyZUq25aakpPDCCy9w4cIFbGxsWLx4MYMHDzbZOUeI0swU552QkBDGjBmjeYDWvn17unbtyp07dzQfBwcHTSDIxcWlWLUpERUVRZMmTTTfK1asyOzZsxkxYoTZjy+ZmZm58qBWqxk+fDibNm3C1taWjIwM0tPTKV++PHPmzGHkyJFmz3dpJNdsQugvv3KT1WQLkO18YGNjk2cnJmlpadSuXZsNGzbQq1cvzfCRI0fy8OFDfvrpp1zzbN26lUmTJvHbb7/h4eFBVFQUb775Jv3792fixIn55rlly5Zaz1EqlYrQ0NACp9FXqQkMXb9+PVdPUlkiIiL4+eefiY2NpVy5ctja2moaSc7re9Ynq9v1Q4cO5erOvEyZMtSqVYtHjx7l241pFktLS2rUqEGdOnVwdHTE0dEx2//FpetyIYQo6T7//HN++ukn2rZty7fffqt3HgThAAAgAElEQVQZvmPHDmbOnEnlypXZtWuX5ikMwHfffcfXX3+NnZ0dO3fuzLOB+0ePHjFr1iwOHz4MPHmlYtq0adKTjhBmlJCQwPLly9m8eTOKolCpUiX8/Px45ZVXSlxbiOPGjSMoKIguXbowefJkk7dtVFjp6emMHz9eU0uoY8eOTJ06NVcNdiGEKI5UKhXOzs40b96chIQEzfApU6YwderUXNPHxMTQtGlT9uzZg5eXl2b4rFmzOHbsGPv3788zndWrVzNz5kwURSEjI4OhQ4eyePFi46+QEZSawNDjx4+5ffs2jRs3xtLSEkVROHLkCF999RUBAQGFTsfa2prnnnuO+/fvc/XqVVJSUrKNr169eq7aPll/69Spg5WVVaHzIISxydMnUdrcvHmTZs2akZ6eTt++ffHw8KB169aMGTOGiIgIPvnkk2yvisGTp9+bN2+mWbNmtGzZMt9lZ70+MXv2bNRqNW5ubgQFBVGpUiVTr5YQpYa28865c+c4deoUXbt2xcnJKc9lKIrCtm3bmDRpEjExMQC89dZbLFiwAAcHB5Pm31QSExOJi4vD1dXV3FnRWUJCAl999RWtWrWid+/e8pDTxOSaTQj9GavGkCGBoSNHjvCf//yH6dOn4+HhQWRkJFOnTmXIkCF5Nt5vbqUmMFS3bl0eP36Mra0tFStWxMrKStN+j0ql4uWXX6Z79+4kJyeTkJBAQkICiYmJJCQk8PjxY83/Tw8H6Ny5s2beihUrAk9uDm7evElUVBRVq1bF1dVVM06IkkR6uBCl0ahRo1izZk2u4fb29oSFhWWrLWSIw4cP89Zbb3H37l3WrVuneddcCKFdbGwsEREReHt757pI9/f3Z8KECZrGoT08PHj11Vfx9fXVBE7i4uLYt28ff/75JwANGjRg2bJl2V4dFaI0kms2IfRnrF7JDHmV7KWXXsLT05NPPvlEM2zz5s34+fkRHR2db83W5ORkAgMD6dGjBwBz587VBLHgSe/i06dPN3qbwqWu8enk5GSSk5OBJw0wDx48mPHjx9OwYUOjpZHV1buzs7PRlimEEMI4li5dyquvvsqZM2cIDQ0lNDSU69evM3/+/EIHhQA6derE4MGDWbJkCYcOHZLAkDAJRVFQFKXEvRJVkLCwMJ5//nmSk5MZPHgwkyZNon79+iQlJTF69Gh+/PFH4EmwJyIigtOnT3P69GlmzpyZa1lWVlZMnjyZqVOnSocbQgghTMra2prWrVsTGBioCQyp1WqCgoIYPnx4nvMkJyfnOodnBacKqpuzadMm9u7dqwkMrVmzhsaNG2vOdVevXqVWrVqMGjWq0Ov1tFITGLp58yahoaHUrFlTU+unUaNGuVrvFkIIUbpZWVnRrVs3unXrphmmVquNeoPt6+vLkiVLOHjwIIqiyCsUwqjS09Pp168fhw8fZuDAgYwePZpmzZqZNE1FUfjjjz8ICgoiMzMTtVpNZmYmNWrUYPz48YXqKh0gNTWVd955h0ePHgGwdu1a1q1bR79+/bh48SLnz5/H0tKSefPm4efnx507d9i5cye///47Z86coWrVqjg4OODg4ICjoyP/+c9/sjXYLIQQQpjSqFGjGDVqFO7u7rRp04ZVq1aRmJioeUA4YsQIatWqxezZswHo0aMHK1eupGXLlnh6ehIREcH8+fPp0aNHgbX+tm7dyrhx47IN+/bbb3FxcQGe1Dpau3atBIbyY21tTZUqVXB2dpbqlUIIIbIxdq2L9u3bY2VlRXR0NFeuXMHNzc2oyxfPLkVRGD9+vKZ9xDVr1rBmzRp8fX0ZP348L730ktHTvHXrFmPHjmXHjh15jv/999/5448/qFOnjsFpzJo1i9DQUOzs7JgxYwZ79+5l9+7dbN68GQAHBwd+/PFHOnbsqPk+bNgwhg0bZnCaQgghhLG8/vrrxMfHM3/+fOLi4mjRogW//PKLpm27nK+HTZo0CZVKxbx584iJiaFatWr06NEjz1qwT4uMjMz2MMjGxibbcj08PEzSRlGpaWPI2tpac3EugSEhdCPvqwthmMzMTDp27EhwcDBLly5l5MiR5s6SKCWWLVvGxIkTUalULFiwgOPHj/PHH3+gVqsB+Oyzzwrs5lYfiqLw/fffM2nSJB48eICVlRVDhw6levXqmovQNWvWEBsbi6OjI9u3by+wgfb87N27l969ewOwZcsWGjVqhJubG+fOnWPJkiUkJSWxdOlSHB0djbJeQpRGcs0mhP6M1cZQUapVqxZBQUH5NoVz5coVfHx8iI2NNWq6pefFdSGEEKIIeXt7A3DgwIFc4/bt20erVq04evRoUWdLlGC7d+/WPAVcsGABfn5+bNmyhcuXLzNixAgApk+fzt69ewud1vXr1+nTpw/Dhw/nwYMHeHh4cOLECZYvX86cOXOYNWsWs2bN4q+//qJx48b8+++/+Pr65rm/FyQuLo7//Oc/wJNq9n369NGMc3d3Z+PGjfzyyy8SFBJCCCGA2rVrc+nSpXzHX7hwgdq1axs9XQkMCSGEEAbICgwFBgaSkZGhGa4oCh999BGXLl3i448/Nlf2RCGsWrUKPz8/Hjx4YJLl7969m5YtW1K3bl1effVV5s+fz6ZNmxg0aBBqtZqhQ4fy4YcfaqZ3cXFh6dKlDBs2DLVazdtvv014eHiBaTx69IjNmzcTFBSUbf9Uq9WsXr0ad3d39u7di42NDfPnz+evv/6iRYsWuZbj7OxMYGAgPj4+PHr0iD59+rBx40at65iYmMiRI0cYPHgwt2/fplmzZixcuFCPrSSEEEI8e7p27cpnn31GSkpKrnHJycl8/vnn2drRNBZ5lUyIZ5hUSxbCMJmZmVy8eJEXX3yRBw8ecOTIEby8vIAn3dk/fcI+duwYnp6e5sqq0NP69et5//33AWjYsCG//fab0dqQunv3LpMmTdL0vpUXHx8fAgICsLa2zjUuNTWVrl27cuLECZo0acKRI0eoWLFitmkuX77MqlWr+P7770lISACgWrVq9O7dmy5duvDtt98SFBQEPGkra/Xq1TqtX2pqKsOHD9e0CTR79mymTZuWrQp+eHg4S5cu5dixY1y4cEHz+lvZsmU5duwYzZs3l/OOEAaSsiOE/kriq2RxcXH4+PhgZWXFe++9R4MGDYAnvZF9++23ZGZmEhgYqGnbyFhKTePTQgghRFGytLSkY8eObN++nf3792sCQ8uXLwee9I6Wnp7O8uXLWb9+vRlz+my7ceMGH374Id26ddO8jpWfEydOMGbMGADKly/P1atXeeGFF/jxxx8L9XROURR+/fVXPvzwQ+Li4lCpVIwdO5bXX3+d06dPc+rUKUJCQqhWrRqbN2/OMygETxqg3Lx5M+3atePSpUu8++67DBs2jOvXrxMVFUVoaCiHDx/WTN+gQQPu3bvH3bt32bBhAxs2bACgXLlyzJs3j5EjR+rcMLuNjQ0bNmzAycmJL774grlz53Ljxg2WL1/Ow4cPmT9/PqtXryY9PV0zj6OjI56enowaNYrmzZsbvP2EEEKIZ4WDgwN79uxh4sSJzJ07V9O1vUqlonPnznz55ZdGDwqB1BgS4pkmT5+EMExW2QkMDGT8+PH4+Piwf/9+oqKiaNy4MWq1mnXr1jF06FCsrKwIDw+nVq1a5s72MyctLQ1fX1+Cg4MBmDNnDtOmTctz2n///Zd27doRGxvLq6++ytdff82AAQM4duwYFhYWLFiwgPHjx+v9ZDEmJoaxY8fyxx9/ANCkSRP8/f01ryIaIjg4GF9fX9LS0nKNs7CwoFevXowePZrOnTuTmZnJ0aNH+eOPP9i3bx8NGjTgyy+/pF69egan7+/vz7hx41Cr1Xh6enLlyhVNN/Q9evRg2LBhtG3bNs92g+S8I4RhpOwIob+SWGPoaffv3yciIgKAevXqUbVqVZOlJTWGhBBCCAO9+OKLABw/fpzExES++eYb1Go1Xbp0YdCgQfj7+3P8+HH8/f2ZPXu2mXP77Jk1axbBwcHY2NiQmprKnDlzUKvVzJgxI9t0KSkp9OvXj9jYWJo1a8Z3331HhQoV2LNnD2PHjmX9+vV89NFHVK5cmaFDh+qUtqIobNiwgcmTJ/Pw4UPKlCnDRx99xMcff4yNjU2h1svLy4s1a9Ywbdo0qlWrhouLCy4uLri6utKzZ09cXFw005YpU4aOHTtquoE3hvfffx9HR0cGDRpESEgIAK1bt2bBggX4+voaLR0hhBDiWWZhYaGp2atrDV9DSWBICCGEMFC9evVwdnbm+vXr7Nmzh++++w6A0aNHAzBmzBiOHz/Ot99+y9SpUwsdEBB5UxQl1xO/gIAAFi9eDMAPP/xAWFgYM2bM4L///S9qtZqZM2dy48YNTp48yQ8//EBISAh2dnb8+uuvVKhQAXjy+tTq1atxdHRk3rx5TJgwAR8fH+rXr58trfDwcL766isePXqkyUdUVBTHjx8HoE2bNvj7+xvU1Xt+BgwYwIABA4y2PH316tWLAwcOsHjxYl566SUGDhxo8otWIYQQ4llw48YNJk2axMGDB7O9Svbiiy/yxRdf4OTkZPQ05VUyIZ5hUi1ZCMM8XXZGjRrFunXrqFOnDtHR0dT/P/buPD6m633g+OfOTPZdJBIilghBqBJbUWprVasU/ZUQ3bXV5aubVlVLW0XpoqULtRShraBCW0stqVYtLWoXYkuqJLKTde75/TEyRBIksonn/Xrlldz1nJvkzNx57jnPCQhg3759GAwGcnJyaNSoEbGxscyaNYuwsLCKrnqVkp6ezmuvvcaCBQvo1asXzz77LHfeeSdxcXGEhISQmJjIc889Zw0QTZ061TpTXPXq1UlISLCey2g0smrVqkJ7vJjNZu6++26ioqJo27YtGzZswGSyPFs7fPgwPXr04PTp0wWOs7e35+233+bFF1+07n+rk/cdIUpG2o4QxXczDiWLjY2lW7dumEwmHn/8cesEEQcPHmT27NmYzWZ+/fXXQodr3wgJDAlxC5ObDCFK5vK2s2TJEoYOHWrd9uGHH/Liiy9alydPnsyYMWNo0aIFW7durXQ3IDerP//8k0cffZSjR4/mW9+0aVOMRiP//PMPLVu2ZNOmTfl6an388ceMGjUKsAyzuu2222jXrh0DBw7kjjvuKLK8kydP0qpVK1JSUhg7dixjxozhyJEjdO/enX///ZemTZvyyCOPoJRCKYXRaKR3794Fehfd6uR9R4iSkbYjRPHdjIGh559/npiYGCIiIrC3t8+3LSMjgwEDBhAQEMC0adNKtVx5fCWEEELcgLvuusv6s5OTE8OGDcu3/fHHH+f9999n165d/P7773Ts2LG8q1il5OTk8N577zFp0iR0Xad27dq89957bN68mYULF7Jv3z4AXF1dCQ8PLzB8b+TIkbRr1w6z2UzLli1xdHS8rnL9/f2ZNm0aw4YN4/333ycwMJA33niDf//9l8aNG7N69eoymSVECCGEELeOX3/9lW+++aZAUAjAwcGB0aNH88QTT5R6uTIYXAghhLgB3t7e1twxQ4cOxd3dPd92T09PBg8eDMCcOXPKvX5ViVKKYcOG8cEHH6DrOoMGDeKvv/5i0KBBTJ8+nePHjzNlyhS6du1KeHh4kTNvtW/fno4dO153UCjPoEGD+L//+z/MZjNDhw4lNjaWRo0asWbNGgkKCSGEEOKGnTt37qo5hOrWrUtSUlKplyuBISGEEOIGvfvuuzzwwAPW/DVX6tu3L4A1GbEomYiICJYsWYLJZGLBggXMmzcvXyDO3d2dF154gV9++YWePXuWSR2mTZtG7dq1AQgMDGTNmjXUqFGjTMoSQgghxK2lRo0aHDp0qMjtBw4cKJOHURIYEkIIIW5Qr169+OGHH/D19S10e+vWrQHL7FXnzp0rz6pVGQkJCdbcTaNGjeKhhx6qkHp4eHiwcuVK3njjDdatW1fk31wIIYQQorh69+7NW2+9lW+CjDzx8fG888479O7du9TLlRxDQgghRBmrVq0agYGBREdHs337du65555823NycnjmmWdo0qQJL730UgXVsnJ76aWXiI+Pp2nTpkX2zCovjRs3Zty4cRVaByGEEEJUPaNGjWLt2rW0bNmSgQMH0rBhQ5RSHDp0iIiICLy9vXnttddKvVwJDAkhhBDloE2bNkRHR7Nt27YCgaENGzbw7bffYmNjw3PPPYetrW0F1bJyioyMZPHixRgMBmbOnCm/HyGEEEJUSe7u7qxbt47x48ezdOlSUlJSAHBzc6N///6MHTsWDw+PUi9XhpIJIYQQ5aBNmzYAbN++vcC29evXA5aeQwcPHizXelV2ycnJPPfcc4BlRrGQkJAKrpEQQgghRNlxd3fno48+IiYmhkOHDnHo0CFiYmL4+OOPyc3NZerUqaVepvQYEkIIIcpBXmBo27ZtKKXQNM267ddff7X+/M8//1hnObsVzZkzh19++YXz589z/vx54uLiOH36NIGBgYwdO7aiqyeEEEIIUS40TcPLyyvfuv/++48JEybw8ssvl2pZEhgSQgghykGzZs2ws7MjKSmJ6OhoGjZsCFiSKu/evdu63z///FNRVaxwcXFxPP300yil8q03Go18/fXXODg4VFDNhBBCCCGqLgkMCSGEEOXA1taW22+/nT///JNt27ZZA0MbNmzIt9/lQaLKLisri127dtG6dWsMhhsfnb5s2TKUUgQHBzNy5EicnZ1xdnambt26BAYGlkKNhRBCCCHElSTHkBBCCFFOCsszlBcYuvPOOwFLYOjKHjMVZfDgwbRp04b4+PgC23Rdp2/fvnTq1ImePXty4sSJGy4vIiICgEcffZShQ4fSr18/evToIUEhIYQQQogyJD2GhBBCiHLSunVrwJJnKE9e4ukRI0bwxx9/kJiYSGxsLLVr166QOubZuXMnS5YsAeCpp55i6dKl+fIiffnll9bcSFFRUbRq1YqPP/6YIUOG5NvvesXFxfH7778D0K9fv1K4AiGEEEKIm8ubb7551e0JCQllUq4EhoQQQohy0rZtW8CSRygzM5PTp08TExOD0Wike/fuBAUFsXfvXnbv3l3hgaF58+ZZf161ahVfffUVTz/9NADR0dGMHj0agFGjRhEVFcWWLVt4/PHHiYyMZObMmbi5uRWrvGXLlgHQvn17/Pz8SukqhBBCCCFuHteTa/KOO+4o9XIlMCSEEEKUkzp16uDt7c3Zs2fZtWsX+/fvBywBIxcXF2677Tb27t3LP//8w3333Vdh9czMzGTRokUA9OnThxUrVvDaa6/RqVMngoKCeOKJJ7hw4QJdu3Zl3LhxKKWYMmUK48aNY/ny5Xh6evLFF18Uq8y8YWT9+/cv9esRQgghhLgZREZGVki5kmNICCGEKCeapuUbTpY3jOyuu+4C4LbbbgMqPgH1ihUrSEpKonbt2ixevJiePXuSmZlJWFgYkyZNYsuWLbi4uPD1119jMBgwGo2MGjWKFStWAPDtt98SFxd33eVdPozswQcfLJNrEkIIIYQQhZMeQ0IIIUQ5atOmDatWreLPP/9k06ZNAHTr1g24FBiq6Cnrv/32WwCGDBmCyWRi1qxZtGrVij179rBnzx4Apk6dir+/f77junfvTseOHdm8eTPTpk1j0qRJ11WeDCMTQgghhIDJkydf136vvfZaqZYrgSEhhBCiHOXNTLZy5UoyMzNxcnKyrmvevDkAR48eJTU1FVdXV+txc+bMYc+ePUycOBFbW9syq9+pU6dYu3YtAGFhYQD4+Pgwc+ZM+vbtC0CvXr0YNmxYoce/+uqrbN68mZkzZzJq1CiqVauWb7tSqkByahlGJoQQQggBEydOxNfXl+rVqxc5S62maaUeGJKhZEIIIUQ5CgkJQdM0MjMzAejUqZM10OPp6WntMZPXMwfgzJkzPPfcc3z++ef88MMPZVq/+fPno5TizjvvJCAgwLr+3nvv5d1336VLly58+eWXRc48ds8999CsWTPS09ML5BnaunUrAQEB3H///dbp7WUYmRBCCCGERffu3UlMTMTPz4/XX3+djRs3EhUVle8rr8d5aZLAkBBCCFGO3NzcaNSokXW5a9eu+bbn9Rq6PM/QnDlzyMnJASzTxJcVXdetw8gK6xE0atQo1qxZg6+vb5Hn0DSNV199FYDPP/+c8+fPA7Br1y7uv/9+YmNjWb16NS1btmT27NksXboUgHbt2skwMiGEEEJUWjNnzqR58+b4+PjQvXt3/vrrr6vun5KSwiuvvEJQUBA1atQgJCSENWvWXPWY77//nr///ptWrVrx9ttv06RJE95++22io6NL81IKkMCQEEIIUc7yho5BwcDQlXmGzGYzs2bNsm7funUrO3fuLJN6bd68mZiYGFxcXG6o986AAQOoX78+586dY86cORw8eJDevXuTnJxMu3btaN++PWlpaTz99NO88cYb1mOEEEIIISqjpUuXMmbMGEaNGsXGjRsJDg6mf//+xMfHF7p/dnY2/fr14+TJk8ydO5ft27fz6aefXvXhWh5fX19eeukltm/fzjfffENCQgLdunXj7rvvJiMjo7QvDZDAkBBCCFHu2rZtC4CXlxfBwcH5tl05M9nPP//MyZMnqVatmjXHT3Gngr9ec+fOBWDgwIE4OTmV+Dwmk4mXXnoJsCSp7tWrF/Hx8dx+++1ERkayfv16Jk+ejJ2dHdnZ2YAMIxNCCCFE5TVjxgzCwsIIDQ0lKCiIjz76CEdHRxYsWFDo/gsWLCApKYmFCxfSrl07/P396dChA82aNStWuS1btqRTp040bNiQPXv2WHuQl7Yqk3zabDbn+y6EuDZpN0KUzI22nQceeICFCxcyYMAAlFL5zpMXKNq7dy9ZWVl89dVXgCURdJ8+fVi+fDmLFy9mwoQJeHh43OCVWCilmD9/vjV/0dChQ2/4dSE0NJR3333XOm1948aNWbFiBc7OzgA8//zz9OzZk3HjxtGkSRN8fX3ltegWIO87QpSMtB0hiq+odpOX1Dk1NTVfzkQ7Ozvs7OwKnCc7O5tdu3YxcuRI6zqDwUDnzp3Zvn17oWX//PPPtG7dmldffZWffvoJT09PBgwYwP/+9z+MRuM1675t2zYWLlzIsmXLaNCgAYMHD2bgwIH5JiYpTVUmMBQTEwPAkSNHKrgmQtx8pN0IUTI30nZmzJgBwKFDh/Kt13UdR0dHLly4wOzZs61j0bt27YqHhwcNGzbk8OHDTJ06laFDh5a88hedO3eOd999l40bNwLQoUMH3N3dC9SrJAYNGsQnn3xC7dq1+fTTTzl37hznzp3Lt8/bb78NFPw9iKpN3neEKBlpO0IU35XtRtM06tSpQ3BwMOnp6db1o0aN4vXXXy9w/Llz5zCbzXh5eeVb7+XlVWTunxMnTvDbb78xcOBAvv/+e2JiYnjllVfIzc1l1KhRRdb1008/ZdGiRZw7d46BAwfy008/FehdXhY0VdQcaDcJpRSpqakYjUaOHj1KgwYNrisCJ4SwRM+PHDki7UaIYirrttO1a1e2bNlCvXr1OHbsGD169GDFihUAzJ49mxEjRlC/fn327NmDwVDyUeErVqxgxIgRJCQkYGNjw9ixYxk5cmSpXZPZbCYiIoIuXbrg7e1dKucUNzd53xGiZKTtCFF8RbUbpZR1KPv19Bg6ffo0TZo0YfXq1fnyRI4dO5Y//viDdevWFTgmJCSEzMxMdu/ebS17+vTpfPbZZxw8eLDIOlerVg0/Pz/uvvtu66y1hXn//fevcuXFV2V6DOX9so1Go7xYClFM0m6EKJmyajstWrRgy5YtHDt2DIDhw4dbyxk8eDCjR48mJiaG9evXc/fdd5eojAMHDjBo0CB0XadZs2bMmTPHOiNaaTEajQwaNKhUzymqBnnfEaJkpO0IUXxXtpu8vjGurq75AkNF8fT0xGg0Fkg0HR8fX+SDrxo1amBjY5Ov3IYNG3LmzBmys7OLDPrccccdaJp21eDR9dS5uKpMYEgIIYSoKvISUAPUrl2be++917rs5OREWFgYn332GV9++SV33303aWlpnD59muzsbJo2bXpdNwyrV69G13U6dOjAL7/8UugTMiGEEEKIW52trS0tWrRg06ZN9O7dG7AM/Y+KiuKJJ54o9Ji2bduyZMkSdF239u4+evQoPj4+V+0JtHLlytK/gOsgs5IJIYQQlczlPXcef/xxTKb8z3GGDx8OwKpVq/Dw8MDT05Pg4GBatmzJvHnzrquMTZs2AXD//fdLUEgIIYQQ4iqeffZZvv32WxYtWsShQ4d46aWXOH/+PKGhoQA8/fTTjBs3zrr/Y489RnJyMq+//jpHjhxh9erVfPTRRzz++OMVdQlXJT2GhBBCiEqmadOmeHh4kJWVxWOPPVZge8OGDenduzerVq3i/PnzgGVcfFZWFh9++CFhYWFXzT1kNpvZvHkzAJ07dy6bixBCCCGEqCIefPBBEhISmDBhAmfPnqVZs2YsWbLEOpQsNjY2372Xn58fS5Ys4c0336Rjx474+voyfPhw/ve//121nKImFnF1dSUgIICwsDCqV69eehd2kQSGhBBCiErGwcGBTZs2oes6Pj4+he6zYMEC9u7dS7Vq1fD19UUpRb169YiOjmbNmjXcc889RZ7/n3/+ISUlBVdX13zD1oQQQgghROGeeuopnnrqqUK3FTYErE2bNqxdu7ZYZRQ1HX1KSgrffvstn332GatWraJJkybFOu+1SGBICCGEqISCgoKuut3JyYm2bdvmW/foo4/y6aef8vnnn181MJQ3jKxjx44FhqkJIYQQQoiKMX369CK36brOiy++yPjx41m8eHGplis5hoQQQogq4plnnkHTNNasWcOBAweK3C8vMHTnnXeWV9WEEEIIIcQNMBgMPPXUU+zevbv0z13qZxRCCCFEhahfvz733XcfUPQTJ7PZzO+//w5IfiEhhBBCiJuJk5MTFy5cKA5KLBMAACAASURBVPXzSmBICCGEqEKef/55wJKDKCkpqcD2f/75h+TkZMkvJIQQQghxk9mwYQMNGjQo9fNKYgEhhBCiCuncuTPNmjVjz549zJ49m5dffjnf9qioKEDyCwkhhBBCVDY//fRToetTU1PZvXs38+fP59NPP823TSnFb7/9RkZGBm3btsXd3b3Y5codoRBCCFGFaJrGc889x/Dhw/niiy948cUX8wWAJL+QEEIIIUTlNGTIkELXOzs7ExgYyAcffMC6deuYOnUqrVu35t133+Whhx5i27ZtAHh5eREREUFwcHCxypWhZEIIIUQV8/DDD+Pp6cnJkydZtmyZdb3ZbGbz5s2ABIaEEEIIISqbxMTEQr9OnjzJr7/+yvbt29m+fTsPPvgg+/fvZ8CAAei6zpo1a1i3bh0NGzbkvffeK3a5EhgSQgghqhgHBweeeuopAF588UWOHTsGXMov5OLiQosWLSqyikIIIYQQ4gpRUVG0a9eO1NTUAttSUlJYtGgRTz75JK+88grz5s1jx44djB07lpCQEFq2bMk777zDzp07i12uBIaEEEKIKmjUqFHcfvvtJCQk0K9fP1JTUyW/kBBCCCFEJfbFF18QFhaGq6trgW1ubm7ous7atWsBqFmzJvb29tSqVcu6j5+fHwkJCcUuVwJDQgghRBXk6OhIREQEvr6+7N+/n6FDh7JhwwZAhpEJIYQQQlRGe/fupVu3bkVuV0qxb98+67LRaETTNOvy5T8XhzwuFEIIIaooPz8/IiIi6Nq1Kz///LN1fefOnSuwVkIIIYQQojDx8fHY2NhcdZ+EhAS++uorAHJzcwkPD8fT0xOAtLS0EpUrgSEhhBCiCgsJCeGbb74hNDQUQPILCSGEEEJUUr6+vhw4cID69esXut3T05OkpCRmzJgBgLe3N999912+ffz8/IpdrgSGhBBCiCpu4MCBHDp0iPHjx9OzZ0/JLySEEEIIUQn16NGD999/n27dumFvb59vW0ZGBl5eXjz44INMmjSpVMuVO0MhhBDiFvDmm2/Ss2dPGjVqVNFVEUIIIYQQhXjllVdYuXIlISEhPPnkkwQGBgJw+PBhZs2aha7rvPzyy0UeHxcXx4cffsgnn3xSrHIlMCSEEELcAjRNo02bNhVdDSGEEEIIUQRvb29++eUXXn75ZcaPH49SCrDcx3Xt2pUpU6bg7e1d5PGJiYnMnz9fAkNCCCGEEEIIIYQQNyN/f39++OEHkpOTiYmJQSlFQEAA7u7uZVamBIaEEEIIIYQQQgghKhF3d3datmxZLmUZyqUUIYQQQgghhBBCCFHpSI8hIYQQQgghhBBCiEpu6NChV92ekpJSovNKYEgIIYQQQgghhBCiknN1db3m9ocffrjY55XAkBBCCCGEEEIIIUQlN3369GLtHxcXh6+vLwbD1bMI3fSBoZycHOt3o9GI2Wyu4BoJcfMwm83SboQoAWk7QpSMtB0hSkbajhDFV1S7yVvOycnB1ta2IqpWbtq3b09UVBR169a96n6aUkqVT5XKRnZ2NhkZGRVdDSGEEEIIIYQQQtwkHBwcqnxgqHbt2vz222/XDAyVaY+hiRMnMmnSpHzrAgMD2bZtGwCZmZmMGTOGpUuXkp2dTdeuXZkyZQre3t7FLstoNHLs2DECAgIwGo2lUn8hqjqz2czRo0el3QhRTNJ2hCgZaTtClIy0HSGKr6h2o+s62dnZ132e8oxrVJQyH0oWFBTE8uXLLxVoulTk6NGjWbNmDXPnzsXV1ZXXXnuNoUOHsnr16us+f975DAYDuq5jMBiuOX5OCGGhlJJ2I0QJSNsRomSk7QhRMtJ2hCi+a7Wby2MT11LWcY2KVuaBIZPJRI0aNQqsT0lJYcGCBcycOZM777wTgM8//5y2bduyfft2WrduXdZVE0IIIYQQQgghhLiqqh7XKPPAUExMDI0bN8bOzo7WrVszduxYateuze7du8nJyaFLly7WfRs2bIifn99Vf4FZWVlkZWVZl/NSJOUlkJKEbEJcP2k3QpSMtB0hSkbajhAlI21HiOIrqt3oug5AWloamqZZ19vZ2WFnZ1fouUo7rlFeLr++qynTwFCrVq2YPn06DRo04MyZM0yaNIl7772XP/74gzNnzmBra4ubm1u+Y7y9vTlz5kyR5/z444/zje9zdnZm7969HD9+HIAjR46UybUIUZVJuxGiZKTtCFEy0naEKBlpO0IU35XtxmAw4O/vT9u2bfPFHkaNGsXrr79e4PiyiGuUl+uda6xMA0M9evSw/hwcHExISAjNmjVj+fLl2Nvbl+icI0eO5Nlnn7Uu511o3bp1iYmJoUGDBpKQTYjrZDabOXLkiLQbIYpJ2o4QJSNtR4iSkbYjRPEV1W50XScnJ4etW7cW6DFUmLKIa5SXLVu24Ovre839ynwo2eXc3Nxo0KABMTEx3HXXXWRnZ5OSkpIvunb27NlCx+7lubJ7l67rpKWlWf/QRqNRXiyFKCZpN0KUjLQdIUpG2o4QJSNtR4jiu7LdaJpGTk4OLi4uJUrmXhpxjZKKj4/Hy8vLurxnzx5mzJhBTEwMPj4+PPnkk3Ts2NG63c/P77rOW64p7dPT0zl27Bg+Pj7cdttt2NjYsGnTJuv26OhoYmNjK3wcnhBCCCGEEEIIIcSVKjKuERQURHx8PABbt26lW7dunDp1irZt25KWlka/fv34/fffi33eMu0x9NZbb3HPPfdQu3ZtTp8+zcSJEzEajfTv3x83NzeGDBnCm2++iYeHBy4uLrz22mu0bt1aAkNCCCGEEEIIIYSocJUprnF5zqBJkybxf//3f3z22WfWdW+88QaTJ0/mxx9/LNZ5yzQwFBcXxxNPPEFiYiLVq1enbdu2rF27lurVqwMwYcIEDAYDYWFhZGdn07VrV6ZMmVKWVRJCCCGEEEIIIYS4LpU1rnHgwAHeeOONfOvCwsK4//77i32uMg0MzZ49+6rb7e3tmTJligSDhBBCCCGEEEIIUelUtrhGenq6NffylQmz7e3tycjIKPY5yzX5tBBCCCGEEEIIIYQomZCQEMAyrGznzp00b97cuu3AgQP4+PgU+5wSGBJCCCGEEEIIIYSo5CIjI/MtXznz2cmTJxk2bFixzyuBISGEEEIIIYQQQohKrkOHDlfd/vTTT5fovOU6Xb0QQgghhBBCCCGEqDwkMCSEEEIIcZmYpBjGbBxDtjnbssJshgsXKrZSQgghhBDX8Mwzz9CnT59iHydDyYQQQghxy1NK8Wfcn3yy9RN+PPwjutJpXL0xocGhGN55B8OqVeR+/z00aFDRVRVCCCGEKJSvry8GQ/H7/0hgSAghhBC3rFw9l2UHl/Hptk/Z9u+2fNte+fsVhiTWxjhpEgCm9u0xz52L6t27IqoqhBBCCHFVY8eOLdFxEhgSQgghxC0nNSuVObvn8Pn2zzmRciLfNntnewJbBxLQMgBlvINBbwahHTwIpBDerx/m0aPR33oLjMaKqbwQQgghRCmSwJAQQgghbhkpmSl88PsHzNo1i9Ss1Hzb3LzdaNSuEf5N/TGaLgZ9zCbUbbeBZzW0rduAXIwTJqD99RfmDz6Apk1B08r/QoQQQgghrhAbG8vEiRP5/PPPi3WcBIaEEEIIcUvYfHIzj0Y+WqCHkG8DXxq1a4R3XW+0IoI8yq82ytUNtSsG7dAhDKtXY1i9GtWoEXr//ugDBkiQSAghhBAVKikpiUWLFklgSAghhBDicjnmHMb/Np4Pt3yIrnQAjCYjdZrXoVGbRrh6uV7fiVxdyf3jD8Leux3t5EkAwiMOYZwwAeOECZeCRP37Q3CwBImEEEIIUap++umnq24/ceLEVbcXRQJDQgghhKiyTqScYNDSQew4vcO6zsvfi7YPtMXJ3an4J3RxQbVvj2rWDO3UKfRjJobU+/vixkOE5wWJGja81JNIgkRCCCGEKAVDhgxB0zSUUkXuU1Tv56sp/jxmQgghhBA3gf/S/+Oe8HusQSGTwUTzrs3pMrRLyYJCl3N2RjVujPnPP9F790Y1b47y8LBu1g4fxvjBB9i0aoWpWTMMb7+N9tdfYDbfWLlCCCGEuGX5+Pgwf/58EhMTC/3atGlTic4rgSEhhBBCVDkpmSnc/939HE06CoCzhzObh22mcYfGGAylfPtzMUikevYk5+BBBo1vzqAnPBjc37I5L0hkat8eU82aGB96CMNXX0F0NFzliZ8QQgghxOVuu+02du3addV9rtabqCgylEwIIYQQVUpmbib9l/Rn95ndADi6OXJX2F20dGpZ9oXXr48KagxBjVHp6ZhbdWBIzIdoSUkAhEckoS1fDsuXYwRU7dqorl3Ru3ZF3XUX+PiUfR2FEEIIcVN6/vnnuXDhQpHb69evT2RkZLHPK4EhIYQQQlQZuXouQ5YPIepkFAB2jnZ0HtwZR1dHKO9RXM7O6K+8glq+G3X+PNqZM+im+gwxLoesrIs7nSJ83jwM8+YBoJo2Re/WDdW1K6pTJ3BxKedKi/Lyb9q/eDl6YWO0qeiqCCGEuEnccccdV93u5OREhw4drMtxcXH4+vpes7e0BIaEEEIIUSUopRjx8whWHF4BgJONE+0Htce1+nXOOlaWnJxQ9etjfmk++vIhkJyCduYMnDnD4IfOXpZ7aB/h0/YxOG4aLNBQnp4s8HraEihq0wZsbSv0MkTJKaXYG7+XldEriTwcyY7TO/h50M90q9etoqsmhBCiimrfvj1RUVHUrVv3qvtJYEgIIYQQVcJbm95izu45ABgMBpYMWMLcmnMrtlKF0sDdHeXuDo0aoXQdLfEc/GcJFClTMpALSqElJGD86j147z2Uqyv6W2+hP/88lHaeJFEmcvVcNp/cTGR0JCujV3Is+Vi+7c8feZ799fZXUO2EEEJUddebb0gCQ0IIIYS46X267VMm/zHZuty2b1u61evGXOZWXKWul8GAqu4F1b0gOJjcCTNQ8/vC2TNo/50BUi4msk6FP19lQWQk5lmz4BpP/0TFSMtKY3XMaiIPR/LL0V9IykwqdD/3Gu64VLs4VDAtDezspEeYEEKICiGBISGEEELc1BbsWcCr6161Lrfq1Qr/pv7ln1OotLi4oGrWhJo1UUDOuCmoRQPQ9u2F9PMYoqLQWrXC/NFHqLAw0LSKrvEtLy4tjpWHVxIZHcm6E+vQzXqBfTSDhncdb2o2rEmthrVwcneybDCDceRItB07MM+YgbpG/gghhBCitElgSAghhBA3rZ+P/MyTK5+0Lje9sykNQhpUYI3KQI0aqLp1UX5+aLt2AUfR0tIwPfkk+vLlmL/8EmrUqOha3lKUUuyJ30Pk4UgiD0fy939/F7qfq50rbgFu1GpUC98GvtjaF+wRpP3xB0POfwuNgc+6MH/BE+jvvw8eHmV8FUIIIYSFBIaEEEIIcVM6kXKCoT8OxawsXYOeafUM5+48V8G1KkMmEyokhNwVHxP23UOQmQmsYuHtt2P+/HPUgw9WdA2rtBxzDptPbSbysCVf0PGU44Xu5+jqaOkV1KgWq/xW8bjt41c9rwoJQTVrhrZvH+g6xlmzMERGYp4yBfXQQ9IjTAghRIlp1/keIoEhIYQQQtx0zLqZx1Y8RmpWKgB+QX581OMjHtEeqdiKlQN1zz3oqb3Q/voL7eRJtIQETA8/jD54MOZPPgF394quYpWRmpXK6qOriYy25AtKzkwudD/3Gu7UalSL2Q1mM7XmVOuNuK35OnIG2dqimjRB+fuj7dgBnEE7cwbT0KHoCxZgnjYN6tUrxasSQghxq5Dk00IIIYSosj7Z9gm/nfoNAEc3R1rf3xqjwVjBtSpHtrao9u2hVi3U+oNoSUkYwsPRoqIwf/01qnv3iq7hTevftH9ZcXgFkYcj2XhiIzl6ToF98vIFvRH4BuuC1uHkZskXdLv59ut+OluAszOqSxdy2/QibM1wyMoCVrOwRQvLbHQvvgg2NjdwZaI86Epn5387WX10Nc+1fg5XO1c4dQpq1gTjLfQaJYQoF1lZWQDY2dkVun3Lli34+vpe8zwSGBJCCCHETWX3md2M3TjWutz2gbaW3C03a7LpG6D8/cnduQjj009j+OUXtNhYTPfei/mZZ9AnTAAnp4qu4k0hKSOJ5YeWs3jfYjae2Iii4BNWGzsb+gX041SjU/g08MHW3pZnzc+yxbilVOuiBg9GN/2Itns3WkwMWkYGxtGjMSxahPn111H33it/10rmTPoZ1h5by5qYNayLWUdCRgIAwd7B9Kl/L6agIMuQwIAAVMOGqMBAVKNGEBiIatgQPD1lyOBNTlc6utIxGeTjtSh7GzZsYMaMGWzfvp20tDQAXFxcaN26NSNGjKBLly7Wff38/K7rnPKfK4QQQoibRmZuJo+seMTaiyOofRDedbwruFYVrGZNBj/mhtY5BG3nTsK/N2P84gsMa9dinjMH1bZtRdewUsrIyWDVkVUs3reYX47+QrY5u8A+/q7+2DaypVbDWnjV8WIBCxhqHFr2lbO1RbVuDXXrovbGoR06hLZnD6bQUJSjI6p3b/SBA1H33AP29mVfH5FPjjmHP+P+ZHXMatbGrGXnfzsL3W/UsVH0MTQhtE9er7MDhEccKLCf8vBANWqEatMGdccdlpnpfHzK8ArEjUjMSGTv2b3sObuHvfF72Ru/l33x+5jbZy59Gvap6OqJKm7RokW88MIL9OnThwkTJuDl5QVAfHw869ev56GHHmLatGk8/PDDxTqvBIaqEKUU53POk5SZhLejN3amwruTCSGEEDersRvHsi9+HwDNvJvRqEujCq5R5aECAlA1aqDHJWP4/Xe0I0cwdu6M/tpr6GPGgO115Lup4nL1XNYfX8/ifYtZfmg56dnpBfZxruaMf1N//IL8iKweSZgp7NLGcu6Vpry8yN3xI2FT2qMdOgg5uYRHXED74QcMP/yAcnFB3X+/JUjUo4f8jcvQiZQTrI1Zy+qjq1l/fD1p2WmF7meyNVGjXg18AnzwDfCFbA9U6xBITYO0NFSgE6G3HYGLeT/CIyC0axLwJ8T9SfjD0wBQDRqg7rgDvUMHS6AoIKC8LrVK0JVOWlYayVnJpGSlkJKZQkpWCsmZyaRmpZKceXF9YesyU0jNTiXxlcQCPYBG/TqKj7d+XGiZe8/upU/DPhheeQWcnNDDwuTvJkrd1KlTmTBhAk8++WSBbYMHD2bWrFl8+OGHEhi6WeXquRw6d4iYpBjSc9K5kH2B8znnOZ9zHg97D55u9XSBY97c8CZRJ6NIykgiKTOJ5Mxk6xPUPx/9k5bZnhjffRdVvTp4elq/U7066uJ3PDzAYCjvyxVCCCGKbcPxDXyy7RMADEYDc/vMZbJpcgXXqpJxdsa8bgmhH7ZD27MHdJ3wiRMx/PwzuXPmQHBwRdew3Cml2Bq3lcX7FvPDgR+IvxBfYB97Z3v8m/ozt/FcPvH7xJonSDNXguE9dnaopk1RQUFo//2HbqrFELUEzGYgjfDwcAzh4Sh3d9QDD6APGIDq2lXyEd0gpRQ7/9vJ0kNLWXFoBQfPHSxyX3cfd3wDfPEJ8KG6X3UMxsvurc2eqPqXggO5U+ejLwuF9PNoaWmY29yHSvgKUpLREpPg4jBG7cgRtCNHMHz7LQAmLy/qBgdj7NkTrVMnVIsW5RYINOtm0rPTSctOIy07jQCPAGyNxStbKUWWOYuMnAwyzZmW77mZl9blZpKRa/meac4kMyfzqute7/A6gdUC85Wx/th6nlr1FClZKaRmpRY6JLQ4UrNSqeZQLd+6je4bC93Xyd2JpTZLGZ34NIYvv0TLzsb4wQfonTqhDxtmmTXS2fmG6iMEQGxsbL6hYlfq3Lkzb731VrHPK4GhCpCUkcQ/Z//hnzP/WL6f/Yf98fvJMmcVun+T6k0KDQxFJ0azNW5roceMyh7FuhNvWd9MiqIMBqhWDapVKzRwlG9dtWqWYJKbmwSTRD6ZuZkYNEOxbxKEuJxSitPpp4lOjCY6MZqhzYZKz0dhlZyZzBMrn7AuN+/anGbezSqwRpWY0YgKCkL5+mD4cyuQjLZ7N6Z27dBHjEDddZdleJmHR0XXtEzti9/H4n2L+W7fd4VOLW9jZ0NoUCjHmx3Hq44XBoOBEHNIyZNHlzWjEVWrFub589EjzGin/4WTp1AOCYTemwEkQ/o8wu+fh/L0RPXtix4aiurQQfLXXCdd6Wz/dzvLDi5j6cGlhf7fANg52lGjfg3eqfcOPzb4EXvnYg7n0wzg4oJycUHvOxK1/G8AlNlM7tNPM3TzSEiIR0tIIHxxLoP7A8QDGwh/Y4NlXwcHy1BDV1dwdQUXF3B1tSxf+bObm2XZxQV8fcl0c2L6jumkZaXlC/ikZ6dbl9Oz00nLsqzPyM3IV/0DzxwgwCN/T5i1MWt5b/N7lsBNTkaBIFBRn3NKaljzYQUCQxNNEzmZerLE59TQMNmZsLG3wcbOhixzFkOXXxo6Or/vfKrVrIaXvxdu3m64ebvhXsMdNy83bOwuBmJ3/8vgYc5oiYkAhEf8huG331D/+x/6yy+jv/yyDP8UNyQoKIj58+czfvz4QrcvWLCARo2K35taAkNlTCnFgYQDbDqxiQ0nNvD36b+L/YJ1IvcEQIEXpt0OuwHLjU1N+5qkOKRga29r/Rp64D20IQ6WWS10vcB5wyNA03VISICEBLTDh6/vmoxGS7Dosl5IhQaQLu+Z5OIiNyU3ofTsdE6nn+a/9P/yfb9yXVJmEssGLqO3VwdMd92Fcne33IR4eFz62d294M95X66uMlPHLSQpI4noxGgOJx7mSOIRayAoOjGa8znnrfvd4XcHTbyaVGBNRWXywuoXOJV6CgDvut40bNsQCr61icu5uaP36IHZKwDD5MmWJ9gffwwfW4ZBqKAgVPv26O3bWwJFjRrd9A9+ohOjWXZwGd/t/449Z/cU2G4wGqjZsCZ1guvg28CXr7WvyydnUGkzGlF+tcGvNrljv0DN7g0nT6KdPg3oaOfOoX3zDYZvvkFv3Rr95ZdRDzwg77WF0JXOltgtLD24lGUHlxGbFltgH03TqFarGs/Xf57fA3/Hw9cDTdMYYh7CauPq0quM0Yi6805UouW9TylFzsuvotYMh/h41NmzQNbFQFEGlpxFxSvC/OqrMO4t3lj/RomrWdgwuuTMZLbElm4i9qsZr8bjuzz/TEu2HWyxd7LHxs4GG3sbWtq15JD9IUugx96GQTaDWOG4wrp9nM04JjtOtgaCFpkWMcw0zHo+X3PBmZyq+1Wn67CuRVcsOBjVowcqJQXt+DFUjWRCO54B0mHvOBa2mI/5ww9R990nn41Eibz33ns8/PDD/Prrr3Tp0iVfjqFNmzZx4sQJFi9eXOzzSmColCmliEmOYePxjWw8Yfk6c/7MNY9rWK0hGT4ZuFZ3xdbeluGm4cyzm4fR1miZaaUQLe9pSUjvEAwGA/PN8wvc2KgaoPpcTICWm2sJEGVno2VlQVYW5jsGMiT5G8jOhqwsFu4KYEj9nZb9srIIX6IuvvFY5L3xaGYznD0LZ89yvS9nysbGEiDKCyJdRw8lHB3lBbMMKKVIyUrhdPpp/k39l79P/c1PyT9x5sKZAgGfosbPF+b9C++zeJUPhqB91nXhC7H8D/13cfkqNy/KyckSIHJ2vvSEy9n50hOuvK+85Yvb8p645W3D2blUbnzNupkscxZZuVlkm7MtP5stP2ebswtdn2XOonH1xrSo0eKGy7/ZXci5wJGkI0Sfi7Z8zwv+nIu2ztZyLSOSR7DBawOGadNQLVqg7ryzjGstKqvv9n3H4n2WmxwbOxva9mlbeXt1VDYGA/r48QypswP+/vuyp9igHTyIdvAghjlzgIsJcENCLLMkBQZacpwEBoK/f6UNKCil+Ov0X/x4+EdWHF7BgYSCiX01TaNGvRr4B1vyBlmf7EPVmMnO2Rnl7w/+/qicHHJ73cfQnW+inf7vYh6b7YQ//DCqQQP0kSPRhwwBB4eKrnWFytVz2XxyM0sPLmX5oeX8d/6/Avtomkb3ut1JapJErUa1sHeyZ7R5dPkGEjUNbrsNdczSHlNTU8kc+wkq8hHLg93MTPRujQitvxMtJ8dyv5/3/TLhEVjv6ZXzL8wzvodm0FB64UOtbAw2aHYaJlsTJlsTjW0bc9zuODa2NphsTbjYuuR7YA0QFxxnqbJBw2gy4mHy4LzNeYxGIwaTgUamRhyzOYbRZMRoMtLB2IHtNtsxmAwYbYz0M/Rjlc0qjDaW7cMNw5ltOxuTyYTBZGCMYQyT7SZjNBox2hhxdHWEXfnr7eHjwQMvPWBdvvLz0WjzaA4YL71GdDJ34mvj19Zlg7kUA+NubqjbWpAbMxv19d2Wob0pKWgxMZj690e/5x7MU6dCYOC1zyXEZTp27Mgff/zBN998w44dOzh79iwA3t7edO/encceewx/f/9in1cCQ6UgNjWWDSc2sPH4Rjad2HTVHkEmWxPuNdwZ4DWAHb47LN0Pvd1YZFiU74XrMfNjbDBuuHRgITcuJpti/PlMJsuXk5N1tK3e93nU8m2Xipg8H/2yF/mcL6ejrxiGdjFwlNv7EYbGTbMGmBYebkaoz+/WQNPC73IJ7VvUHVYOcJrwiNOE5gWbzkH41xQafAJQ9vZX75l0sZv02rgoNpzYQHZutnUMclZulnXc8uXfw5qFMaL1CAxffmk5f926qHr1wM+v0t70Xi+lFEmZScSlxRXZsyfv5yu7BJeU0WTE3tkeBxcHSwBT01C1akFODlp2NqqeB9jEWm5SLrry731p+TzhEZbeIjf6cU85OhYeZLKzs3zZ26Ps7CAoCP3ZZ+nzXR/+Pv032bol4JNlzkJXJeuK8Gr7V2lRowXGnj0hNxfVvDmqeXNo3hzVtGmVuhnPMedwPOV4gV4/0YnR1p4d10vTNALcAzjveR7nas64eLrgXsMdbeNGDK++CpqGfxxxfwAAIABJREFU/uab6KNH3/RtVRRPbGosz69+3rrcqlcrHN0cK7BGNyfl6Qk9eqByctDOnWNQ04u9hc+du+xDZBKwFv5bS/j0y461tYX69a1TbKvu3VGdOlVYDpsccw5RJ6NYcXgFKw6vIC4trtD92tZqS3ZwNv5N/Is/1OdmZWODGjgE5bwalZWJFn0ELToayLYkIx8xAsO4cegjRqAPH25JJ1DFZZuziU6M5kDCAfbH72d/wn6iTkQV+pDCxmBD9YDq+AX5UathLb63+75y9SjTgDp1UHXqQJ06AJg/nI9aPjR/Nh2lLgWJcnLIfXE0atdbkJODcnNF0zQ6DOiAwWTAxtaGyabJvO3wtjUQFK6F57vuKwMsAeaCCZV9A30Z+OZADBd7HV55zLWW3zW/y3Hjcevyo+ZHWW9cb12+y3wXs42zi/sbq3g2NqhatVA1a6IdOYL6NQYtORnDL7+grV+P/r//ob/xBjg5VXRNxU3E39+fcePGleo5JTBUAmfSz7Dp5CZLr6CTGzmSeKTIfU22Jrz8vfCu602NujVwq+GGwWBgmnla/jeayvjEKu+D9cVF1XcIavml7rLm9/K/EeXOnoceMRiysqzBonxf2dno9zdFVd9i2Z6djdKy4YrEcJcCBZmER8QxuN3FGz4dwr/IX8WclBR+O/kbU7ZMua5LuqvOXQAY3nnH+tQULvZo8vdH1atnCRTVq4eqWxdVvz7Uq1cp8jCkZ6dzKvUUsamxxKbGcir1lHX5VOopYtNiuZBzoVTKMtmaqOdcj2SXZBycHbB3tudRp0dZ7rocB2cHyzoXS1fdfE/tD4Dq2BGw/FVzv8gLNirIySVn4iT0Dc9Zgo052eT2ehT133RLr7XcHPTHOhLqutZ6MxP+hy+ht8dYn36F/6DnCywVJjwCQntdAC5Yl4uid+sGzz7LtsxtJF5ILHrHYvhR/5H3c95hiFeUZQjnmc2EX0wRpgwGy1P4i8Ei1bw5qlkzqFWr0vaOU0rxb/q/RJ+7FPQ5nHiY6MRojiUfI1fPvfZJLuPg4oBLNRecPZ0Z7jGcyOqRuFRzwcnDiXDCC9yAD909Fm2AZvld7n+XBXdvwjxvnuV3Jqo8Xek8sfIJkjOTARjYeCBacOVsKzcNGxuUj491KmyllOUp9rmLgaLkFEhLA8yXvd5mEx5h6V1EZCRMmWLpXXTvveh9+qB69rzuDzUJFxJYF7eOBoENMF4R5E3OTOb3U79bJ9RIykwiJTOFpMykfOtOpZ4iNSu1wLk1NDxre1KrUS38gvxY5rqscn2oL2929qjgYFRQEIOCj1n+fhcuAGcJf/ttDJMnoz/+OPoLL1h6hVUBuXouq4+uZsfpHeyP38+BhAMcSTpy1fcqg9GAb4Avfo39iAyI5HmnS4HoSnl/fj00zRK4vRi8Ve3aof7zybdLrUaX3kebmZvhZLysDZfgug03+TDUMqdpqMBAcvdFEvZJJ7SYGCCb8MmTMYSHY540CTVgQKW9HxRVX6UIDM2cOZPPPvuMs2fPEhwczKRJk2jVqlVFV8sqKSOJqJNRbDyxkQ3HN7A/YX+R+xpNRrr4deFsvbN41/Wmmm+1/DMTVGUGg/VNSBWRdd/8/hXBpG/mXgwmZaJlZZM76BnUkUkXA0lZ6MPaoVzXWoNNysPm4pSegNHIPAcHVtqsvK7qaQaNVdoqJqaPIfSuS0GA8AgI7ZMDHAWOEj6z4LHKzc0SLLo8cHTZz5iuaEo5OXDsmKV3iL295buDQ5E9HZRSHEs+li/YE5saS2zapQBQ3gejG2Frb2vt4dPNqRt/ufyFZtJwr+7O+07vM9V1qiXgY2tT4EnOy+aX2WXcdZWzX83FG5Q6dSz5hfKuu28Yavla617mvl+iLuu1lvvZFb3YZs+yLF8MHGm5OZBzWbfpnBzMTe5Hmb+3rtN7NSW0zg5LF2tdZ+Gm6oTecRp0HeV9mG8BRxdHMt0yMRqN1DHWIc4Uh8FowGgy0sLQgr2mvdau0AajwbrNYDBYukAbjZb1JgMePh6Qno6qWxeSk9GSk8lLhKLpOhw6hHboEPzwg/W6lKcnqlmzS8GiFi2gceNyfRqfmJF4KehzWRDoSNKRYgccbextcPF0oZdHL3ZX341LNRdcPF1Y7LaYZxyese430jySv41/XzqwkBtRVacOyt0Nwx9bIDUVQ1QUWuvWmL/5BtWrV0kvV9wkpm+fzvrjlifGDi4OfHbPZ7yovVjBtapiNO1S3reABtbX55xJE1GrHrMEidLS0Hs3sAS809NBKcIjktAWLsSwcCHK3h7VrRv6Aw+geveGi/kOwPLaEnUyiqgTlvuovfF7AWjfpD2ta7XOV5WjSUfp90O/YlXfYDRQo14NajWqxdKApbzq9uqljTfrh/rSZjJZens1aIB28qQlQEQy2vnzGKdNwzB9Our//g/zSy9B8+YVXdsSOZN+hm92fcOsnbMKzRF0JaONEd8GvkxsNJGlDZdahxe6m93LuqriVuflhWrd2jKN/V9/AYlosbGYQkPRZ87E/PHH0LRpRddSFKGyxC1mzZrFypUr8fDw4JFHHqFz587WbefOnaNbt27s2lW8z20VHhhaunQpY8aM4aOPPqJVq1Z8+eWX9O/fn+3bt1sTKZW3tKw0Np/abE0Yveu/XUVOd2gwGLij1h0k1U3Cu543nrU8C3S/FFdhNFqm2rS1RblYciKp5Zc+MJvfnmkNFCggd+Z89GVDIDsLsi3Dk+o0q4OXv5f1A7rRZPkAn/d9rjaXJ22fvPQkw+yMPnAgXLiAlp6OuetDqH8/s9zsnj+P8uBS8ImLeRhSUmDXLrRCGljO7t2WD/GXi43FppApgZXJlD9YZGeH/sADmN9/nxYzW5CZm1miX6PJxoSDqwOObo44uFh69Ax3Gs73rt9bevi4OBDuEM6Tdk9aj5lrnssQwxBSU1NxdXWlk55/nHWllDcUzM4yU1VhrVLv+xZq+aVE6uZJVwQjv8ofbALoMLCD9edrdXW+LmYPy5s+FxNHvjWGsDXDITkZkpMJX24ktO2lG9fwiHNoGzfCxo3Wderi9MS0aGHJr9OihaV30Q10NT6ffT5/vp/EaOswsHMZ54p1LqPJSJNqTUjyTLIGfqa4T+Ejr4+wdbBF0zTmmOfk+905m0s4TevFBLra338Dx9ASEjA98ADmkSPR33233KbrFeVrX/w+Rm8YbV1u06dNgWmDRRmqVQvl7Q3e3gCY37n42pmdjfbvv+hmX4bYRl6cMj2T8IhVGFatQhkMqA4dMC9YwJCtr/LD/h8KvYd6JvYZdtTakW+dm53bNatlNBmxdbDFy9+LDwI/IKJhhPVDvY/Z5xpH3+I0zRJsr1OH3AfDGLrqMbQzZwCzdcp7/e67LYmqO3eu9D0XlFJsjdvKjL9mEHEgghw9p8A+BqMBF08X3LzccPVyZaznWOZ4z8G5mjMGg4GHzA8RaYysgNqLW52qVg16dCc3pBthm16wPBRnIwtDQtCfew59zBjLhC2i0qgscYuvvvqK8ePHM3jwYFJTU3nooYcYNWoUL730EgBms5lTp4qX0gEqQWBoxowZhIWFERoaCsBHH33EmjVrWLBgASNHjiyXOmTkZLAldgsbTmxg04lNbP93O2ZV+GMmTdMI8Q0hvW463nW9qV67OouMiyr/sLCqRNPAzt7yBTh7OOPsUfQHTkezY8HurQaDZZicszN63ydRy6Osm3JnzEf/4WFIT0c7n465dR+GJM2yLi8Mzyb0/mzr/vPq1i0YOPgtBUOhuXRygTTCI9IuJQEkgm+1CZhcTVDIaCaDwUAd1zqku6Xj6OqIo6sjzzo/y/fu31uDQbb2tgUSsT5rfpYtxkuzQ9ibb5H8CpWNpkFQEOqgv7Wrfu5H89G//z9Lb6LkZHSnZgyxWQGpqaDrll5s92UBf0PK34S/YDmVMhgsuQX8/MDPz5LPqXZty9j12rUtubKqVwdNIykjiW/3fJuv98/1PEXNX3UNJw8nXDxdrMEfl2qWLwdXBxboC/L977czt8POWEbTy5tMqDZtGPRhDbQdOyw9xE5+zIIuv2FesADq1y+bckWFyDZn88iKR6zTGwe2CcSnvo+8v1YGtraounUx/28+esRgS2AhNhZVPY3QzgmADnbbmOflxU7nnfmCQpqm4e7jjruvO951vAskr/3i3i8I7hKMrb0tNvY2jLYdzTTHaZZlBxsW2CzI94BjoHkgK4wryuvKqxTVowfqfBdUUhLagQMoQxyh/XRgNXy1mgWjQywBor59K11et4ycDL7b/x0zdsxg15n8D+w0TcM30Je6zeriXsMdJw+nfPeAfc19iTAWcxovIcqMhnr0UXSnX9D27kWLjkYzmzF++imGxYvR33oLfejQKpWf8mZWGeIWAHPnzuWTTz5h4MCBADz22GMMGTKEzMxMRo8efY2ji6YppQrvClMOsrOzqVmzJvPmzaN3797W9c888wwpKSmEh4cXOCYrK4usrCzrcl71H3vsMXbt2oWtbcEPyFdSSpGRm8H5nPNcyLlARk5GkT2CAOxMdigbhcnGhNHGiJ/mR5x2KdFhLVXrqsuFudYxhS5fllyxlst1lFlw+H3+OrgUcs5SXC63Mkvyu76RMp1rEpcaa8l5ohS1qtUtWIeUi0n/Lv5/1sKVOJViXfbLdSTWeN6ybDJRy7MeMRdiUEphMBrw1DxJNiajGTUMBkOZ/o/pZh2D8dplXE+ZV/7P3TT/Yzd63VfWoaT/YwrQzZb/l5xzlifxZjN+qRDrkr8Mv6ImjNM08PQkx9OD6MTo66qvZtBwMDqQY8yxDJMzGvE1+hJvjL9qJvASvY4V93dd2OuYrlvyZJh1y+/BYED5+lryopUTpRTZ2dnX9Z4jiu/s+bPWXmwGowEnDyc0TSub/7FruOH3jMryXnmNMm+4Ds41iUs+aU1kXcsrgBPZJ8i8kInJxoS3jff/s3ffcVVX/wPHX3cAogxRBAeC4sStuPdI01wpZWppmlaKWZia5ihtmDMzZ/ZLM82+ztTEstx7K+DIkSIoQxzIkHXvPb8/iI/iKCHxAr6fj0eP+qxzz6V77jn3/Tmf9+G2zW10ep3W7zy0z8jp75T732cOf489dh2s/RmzK8bV2HBISwV1Tx9jY5OeuNzZOf2mmhWlmlO1XFP3LxChQ0cR+yKk2Kf8YwqHvP7/12Kx4OHkQURCxCPPf2gd/uPY59/G0gDc1wVbZYyQE3XIzu+O7P7/NpvxiLVA0j2LxBgM4OKCcnF5MHVFLuTt7c3q1autXQ2N2WzmwoULlC+fOa+dxWIh7e/Fce4dx9nZ2WFn9+BNzuzELXJKyZIlOXDgQKaVx06fPk23bt3o3bs3gwcPxsfHhxs3svY0gFUDQ5GRkVSpUoXNmzdTv359bf9HH33Evn372LJlywPXTJ48mSlTpmjbDg4OnDx5kv6+vpyOjibNzQ2bv5dsA0hzc8N4LZoUvYU7ejOJejNJejPqH8bxNnob7A322BvtKWAogEGXu+6UCCGeLbq0NPSpqehSUtCZTJn+eRhTkSKYChcmNCFUGzzrdXps9DbaP7Z6W+2/df95HTgrUAqbmzcx3L6t7UoxGlGlS5McE6PtK+DmRvI9fUJWtx/mv5aZndfMiTrc31fa/EsdHta/PsntDEl6M2F2dwfFHoU8sNXL44JCPA06sxlDXBzG27fTg/B/U3o9KUYjKTY2KJ0uW99j993feMzviGgS9WZuGdNINDw4ZdDOYIeTjRMONg55sy8T4iEMCQkYb958YJyXajSSbGOD5b5ZfDk9LnncsZHNtWuUtbdnua8vYZMnP+a7tQ69Xo+npycNGjQgOjpa2z9q1ChGjx79wPnZiVvklGrVqrFw4UIaN26caf+ff/5J165dad26NStXrsxyYCj3hx3vM2zYMPz9/bXtjLjW/1q3JjE8HNvVq0l481X2299gf8Hr7K1VlKNhl0nWP3r+ednCZWnp2ZLmXs1p4dmCEg4lcvx9CJEbPCqKLvIIsxmuXUN35Ur6P1evortyBXPnzqgmTdh0YRNF7YtSvkh5itoXtXZtc4Q+MBCbt95KX2XQZMJib8/vTZoQ9/dz+V2WLGHD669r52d1+2G6LFnC+r59SYiPx8HRka4//PCfXuNxXvNhdfivr2lzz3bafdsPc/85T3ob4JY+lXref8DfcaBPWnzCyIYjEfmH9Dt5RGIihh9+SH+k5fLl9CBRaippFguXypbF85df2PDRR9rpj/M9dv+iov/0nXBLn8oi/0Z8++unXLHLnH/R1mDLS5VfYlCdQdQrmTmBeX4mbecZk5aG/uefMX79NfqjR9P3mUxgMhHl7s65ihWJKl4cdLonMiZ4EmOje9tzpUqVsv6ec8C/zRg6ePDgAzOGcruGDRuycePGBwJDlStXZt26dXTp0iVb5Vo1MFS0aFEMBgMx99zdBYiJicHt72SH97t/epfFYiE+Pp7/OYex2eYkhxfV5nylex6fuALcN6O0lGMpWnq1pFWZVrTwaoGXs9eTektC5EkGg0EGGXmRwZCeV8jDQ9uluPuV17lSZ6tU66nq0gVTnToY+vZFv2cP+tOnee7sWU7Urs0lb28MBkOmDj+r2w9z7zk6ne4/v8bjvOY/1SEntq3xmnd0Jl703EOobSIATe+4MrLRSAx6+W7Kj6TfyeWcnOCddzAPGoRlzRoMM2agO3ECG5OJiufPo6pWpYGHB2crVeK2i8tjfYfcf/Rh3wnBBWKZ53KB5c6XubNtHdzzG620U2neqvMW/Wv2x63Qw38nPAuk7TwjDAbo1Qtzz55Y9u9H/9VX6DZsQGexUDw6muLR0SQUKkRUiRIYf/0Vo8mE+e/VbHPLGCE3ub/d6HQ60tLScHR0fDAX7UNkJ26RUwICAggKCnroMR8fH9avX88vv2Q9qb5VA0O2trbUqlWLnTt3as/qWSwWdu3axcCBA7NU1mj3YCITIx+avNe7sDcNPRrSxKMJLbxaUKFIBckJIYQQ+YWHB+bff0d99hn6L77AaDZT98gR3KKj0xN6i1wvDQs9S+1nb8HrABQrWIxF/nslKCSEtRmNqFdewdSjB7pt29DPmIF+yxZ0ZjNely/jdfkyN11c0H/wASWvXiXG1ZW0LN5xT8XMz45XmftDK/Z6733geOsyrRnsO5iOFTpi1Oe5hx2E+G90OlTjxpgbN4ZLl9DPnYt+0SJ0CQk4JCZS/sIF6N6dF/V6rhctSnTx4nDsWHoeU/m9+8Q8ybjFf1WtWjWqPWT16wxVqlShSpUq2vbw4cMZM2YMRYv+89MDVv929ff3x9/fn9q1a1OnTh3mz59PYmKilu07q2z0NviW8KWRRyMalmpIQ4+G8miYEELkd0YjlgkTUC1akNa1K/bJyXiGh6Pq18elXDluFZFlznMrC4o3Sxwm0DE9maqjrSMbe26kTOEy1q2YEOIunQ7Vpg3mNm0wHz+ePoNo9Wp0FgtFbt2Cr76iCemzVm87OxNTrBgxbm5cL1aMlALpq6Km6MyEGe9w2SaRyzZ3uLxrIuElDvJHoSgibZLTZ/n/zdHWkT7V+/C279v4uPpY5S0LkeuULYtl+nQs48ejX7IE3caN6PbuTc9FabHgFhODW0wMNGxIFzs7ot3d0x83i4y0ds3zhScdt3haVq1axdChQ3N/YKh79+5cv36dSZMmce3aNapXr87q1auzPCXrg0YfUDilMC/Wf5FCdoVyqLZCCCFyM9WqFcYLF7AMGIB+82Z0Fy/SOjSU4Bo1OF+xorWrJx5itFsQSwuHAum5Q9a8tIbaxWtbt1JCiEerXRvzsmXw6afov/sO3Y4d6I4eRWc2owMK375N4du3qXDhAgBxjo4E16rFukomenvsv1vOnsNQOHPRlYtWxr+uP69WexVHu/vTVQshAHB2xvLuu/Duu5CYiG7nTnRbtqD//Xd0584BYJeSgmdYGJ5hYeDlRVtnZ6KLFyfM01NbJVlkzZOKWzxtj7vWmNUDQwBvvfUWb7311n8ro/ZbnD9/ngLGAk+oVkIIIfIkNzfM69ejvvoK/bhx6E0map04kf5o2fXr1q6duMe0ImeYUfQsAHqlY2nXpbQs09K6lRJCPJ6yZbF89ln6fyckoDtwAN2uXej27EF36BC61FQAnOLjafjRR6hydvBD8weKMegMdK7YGX9ff1p4tZB0D0JkRaFCqBdeQL3wAhaAy5fTg0R//IFu2zZ0sbHA3YBtpbNnUXXrUt5oJMzLi9Q8kGw5N3kScYvcKlcEhoQQQognSq/H8v77qKZNSXn+eQolJlIyMhJVty6ulSpxPZff3XkWfB/0PaPdg7XteVG+dKvczYo1EkJkm4MD6rnnUM89l76dlITu8OH0QNG+faj69fG2xNOjSg9KO5XGy9kLT2dPSjuVpmzhsjjYOli3/kLkF15eqAEDMA8YACZT+my+339Ht2VLevBWKXQhIdQGagQFEVGqFLrff09fefAxkjCL/EsCQ0IIIfItVb8+f7Rrh++RI5QOD0cXEUHLyEhOV6nC6XsS84mna73DVQZtGqRtf9LiE95oMtqKNRJCPFH29qjmzVHN784QcsOeZS8us2KlhHjGGI2oBg1QDRrA+PFw5Qr6pUvT8xNdvIjBYqF0eDh06kRHe3tCy5YltGxZa9daWImEBYUQQuRrHVesoPiFC5jnzkUVKIBOKaqeOkWLHTvg6lVrV++Zs8v+Gr1K7cOiLAC8W+9dRjUeZeVaCSGEEPmchweWDz/EdPo0pj/+wPLqqyh7ewAKJiVR5fRpXggMxNCuHZ6hoehNJitXWDxNEhgSQgiR/+l0WN58E9PevcQ5OQHgFhODsV49ikdEWLlyz44TdrfoWnoPKfr0oFDvar2Z+txUySkihBBCPC16PapFC8yLF2MKC8M8dy6WevXuHt6xgwYHD9J5wwbqHDmC7sgRSVidh7388ss4Ov57Mn95lEwIIcSzo3p17C9fxjJsGPrvv0d3/TrNdu/mbKVKhFSvbu3a5Wt/3fqLFzx3EWdIA6B9ufZ82/Fb9Dq5RyWEEEJYhbMzljffhDffxHzyJPolS9D/+CO669exTUuj3F9/QePGtHV2JrRsWcK8vEgpIIs95QZHjx7l8OHDREdHA+Du7k69evXw9fXNdN6XX375WOVJYEgIIcSzpVAhzAsXYmnVCsOQIegSEqh09iwVz56FzZvpaDJhMhqJc3IizMuLyJIlsRgM1q51nhZlSKLjTx2JNiYD0LBUQ37q9hM2Bhsr10wIIYQQAFSrhmXaNCyff45u48b0XESbN6OzWCh8+za1Tpyg1okTxDk6csPVleuurlwvVowEB0ke/zTFxMTQt29fDh48iIeHB25/L6hy7do1rly5QoMGDfjhhx8oVqxYlsqVwJAQQohnkurVC1O9ehhffRXd8ePoAOLjKfj3caf4eDyuXiXVxoYrpUtz2cuL61nsZAXE6lN5wXMXF/9eMreKaxXW9VhHIdtCVq6ZEEIIIR5ga4vq3h1z9+5w9erdhNV//QWkj4+c4uMpe+kSACerVbNmbZ85I0aMwGw2c/DgQSpUqJDp2Pnz53nnnXcYOXIk33//fZbKlcCQEEKIZ1f58ph27UL300/oLl6EhAR08fFw6xa6HTvQxcVhm5aG98WLeF+8SGLBgujHj8cxLo54a9c9D0jSmejmsYegAulBIU8nTwJ7BVLEvoiVayaEEEKIf1WqFJbRo7GMGoVu/35027ej27cP3YED6eMloPKkSSjAvHSpdev6jNi2bRuBgYEPBIUAKlSowJQpU+jcuXOWy5XAkBBCiGebnR2qXz8eSKuYlIQuMBD98uXofvsNnclEoTt3YMoUOgDXnJ050rixFSqcN5gsJnqV2s+uQjEAuNq7sqnXJko5lrJyzYQQQgiRJTodqnFjVMa4x2yGkBD0+/ejGjWybt2eMba2tsTHP/r2ZEJCAra2tlkuVzI+CiGEEA9jb4966SXMa9emr9rx9ddYGjTQDrvdvk2HkBAIC7NiJXMnhWLwpsH84pi+4puD2cgvPX+hYtGKVq6ZEEIIIf4zgwFq1cIyeDA4O1u7Ns+Ubt26MXjwYDZu3EhcXJy2Py4ujo0bNzJkyBD8/PyyXK7MGBJCCCH+jasrlkGDYNAgzBcuoPvqK4wLF6K7cgVj+/bYValCir29tWuZa3xYLJglwX8CYGuwZXWvDfiW8P2Xq4QQQgghxD/5/PPPsVgsDBgwAJPJpM0OSk1NxWg08tprr/Hpp59muVwJDAkhhBBZUb48pq++4tadOxRbtgzdhQu0iIlhR6tWpNrZWbt2VjejyJ9Mc00PCunQsaTLElqXbW3lWgkhhBBC5H12dnZ8+eWXTJgwgaCgoEzL1desWRMnJ6dslSuBISGEECKrdDoihg/HxdYW46JFON++TbOdOzn4jD9nv8T5Eh+4B2nbs9vPxs8n69OZhRBCCCHEozk5OdGsWbMnVp7kGBJCCCGyQ6fD9PXXWHr2BKDIrVt02LQJY/36VDpzhoKJiVau4NO18fxG3ixxWNv+uPnHvFXnLSvWSAghhBDi2XL8+HH27t2b5etkxpAQQgiRXQYD5u++A6XQr1gBgO7ECWoANYKDuVS2LNyTGDC/2mMfQ++fe2PWpa/tNqTuEMY0GWPlWgkhhBBCPFsGDRrEhQsXuHHjRpaukxlDQgghxH9hY4N56VLSgoIwjxuHqlRJO1T20iWMdetSNCbGihXMWcF2sXQpvZtkUzIAr1R5hRltZ6DT6axcMyGEEEKIZ8u6des4fvx4lq+TwJAQQgjxJPj4YPnoI0zBwaQdPoylTRsAdKGhtNq+nWrBwejMZitX8sm6ZJNAB8+d3DakAdDOux3fdf4OvU6GF0IIIYQQT1uJEiXw9PTM8nUychNCCCGeJJ0OatbEHBiIecYMlJ0dOqXwOXOGpnv2gMlk7Rolcp/fAAAgAElEQVQ+EdEJ0TzvuZMoY/pMofol67Oi+wpsDbZWrpkQQgghhMgKCQwJIYQQOUGvxzJ0KKYDB1A1awJQPCoK/QcfWLli/91tfSqdVnTiL9sEACoXrcz6HuspZFvIyjUTQgghhMi/0tLS+Oijj6hTpw5t2rRh2bJlmY5fu3aNokWLZrlcCQwJIYQQOalqVUw7dmjBIcOcOZS5eNHKlcq+ZJ2Z7h57CYpOX5a+tFNpAnsFUrRg1gchQgghhBDi8c2YMYMVK1bQv39/WrVqxdixYwkICMh0jlIqy+VKYEgIIYTIaYUKYVq9GlWsGAC+R49S9Pp1K1cq60xYeLXkfnYUugZAUfuiBPYMpLRTaSvXTAghhBAi/1u1ahWzZs1i6NChjBs3ju3bt7N7926GDBmiBYSyswCIBIaEEEKIp8HLC/OKFSgbG/QWC4337sX+zh1r1+qxKaXwL36UdU5XAShkU4gNr2ygsmtlK9dMCCGEEOLZEBkZSZUqVbRtb29vfvnlFw4dOsTbb7+NOZsLnUhgSAghhHhKVNOmmL/+GoACycm0//VXDM8/T5WTJ3GLikKfixNTj985nu9c0h+Bs1F6Vr20inol61m5VkIIIYQQzw43NzcuXbqUaV/JkiXZsGEDx48fZ8iQIdkqVwJDQgghxFOkBgzA7O8PgNFkQr99O1VPnaLFzp20//VXHOLjrVzDB31V5CxT900FQKfgh6sNeK7sc1aulRBCCCHEs6V58+asXr36gf0lSpRg/fr1XL58OVvlGv9rxYQQQgiRNZaZM1HNm6PbsgX93r3ozpwBoNCdO7QPDubXmjVJdHCwci3TLXUKZbj7CW17Vvuv8fMdZMUaCSGEEEI8m0aMGMH58+cfeqxkyZJs3LiRHTt2ZLlcmTEkhBBCPG06Hap7dyzz5mEKCiItKgrzyJHph65cocX27RRMTLRyJSHQIYIBJQ9p2+ObjWeQBIWEEEIIIazC09OTNm3aPPJ4iRIl6NWrl7bdo0cPoqKi/rVcCQwJIYQQ1lakCJbPPsP8wQdA+syhFtu3Y2/F4NA+++u8UmofZl36CheDfQczruk4q9VHCCGEEEJkzf79+0lOTv7X8yQwJIQQQuQGOh2WTz/F/P77ADgkJtJ661Yqnz5NwYSEp1qVk3axdK58lCR9+soWL/u8zMx2M7O1/KkQQgghhMjdJMeQEEIIkVvodFi++ALS0jDMnk3BpCSqh4RQPSSE666uXPby4krp0jlahVCbRDqU3kVschIAz5V9jsVdFqPXyb0kIYQQQoj8SAJDQgghRG6i02GZPh0qVkT/zTfoTp4EwPX6dVyvX6f2sWPQrRseN28SWbIkZuOT68qvGZJpX3oHETbpQaG6Jeqy0m8ltgbbJ/YaQgghhBAid5HAkBBCCJHb6HRY3n4by9tvQ3Aw+p9+Qr9iBborV9ArBYGBNALSjEauenig27IFLBbQZ39WT6Qxia4euzlvl/7YWsUiFdnwygYcbHPH6mhCCCGEECJnyLxwIYQQIjerUQPLF19gunAB05YtWN54A+XsDICNyUSZ0FCML7xAp19+oebx4xS+eROUeuziFYofgn+gmvevHLW/BYBHmj2bem3CtaBrjrwlIYQQQgiRe0hgSAghhMgL9HpU8+aYFyzAFB6OacUKLC++iLJNf8zLPjmZiufO0faPPzDWqIHPqVP/mrQ63HiHjqV3MXDjQGINaQAUL1Scjf778XT2zPG3JIQQQgghcs6wYcNwcXH51/NyLDBUo0YNXFxcMv0zc+bMTOecPHmSDh06ULx4capWrcqsWbNyqjpCCCFE/lGgAKpbN8wrV6YHiRYswNK8uXZYd/Ys1U6epGNgIM127EC3eXOmWURKKRYW/ovq3r+y2SFK29+7Wm+Ov3mcKsWqPNW3I4QQQgiRX+R0LCQ1NZWff/6ZMWPGMGDAAAYMGMCYMWNYt24dqampmc59//33cf57pvk/ydEcQ2PGjKFv377atoPD3TwFcXFx+Pn50aJFC7788ktOnz7N0KFDcXZ2pl+/fjlZLSGEECL/cHFBvfEG5jfewBwejn7FCvTLl2tJq4tHR0PnzrRzcuJ8xYpc9vJCoVhaz5b4KyYASjqUZG6HuXSs0NGa70QIIYQQIl/IqVjIxYsX8fPzIyoqCl9fX9zc3AAIDg5m8eLFlCxZklWrVuHt7Z2l+uZoYMjBwQF3d/eHHlu1ahWpqanMmTMHW1tbfHx8CAkJYd68eRIYEkIIIbKjdGksI0ZgGTECQkLQL1qE/vvv0SUm4hwXR90jR6geEoL+/AUWdlxI3e/q0qtqL6a0mULhAoWtXXshhBBCiHwhp2Ihw4cPp0qVKuzcuRMnJ6dMx+Li4hg8eDAjR45kzZo1WaqvTqksZKjMgho1apCSkkJaWhoeHh689NJL+Pv7Y/x7Wd1BgwYRHx/Pjz/+qF2ze/duunTpwqVLlyhc+OED1JSUFFJSUrTtjOrr9XouXrxI+fLlMRgMOfGWhMh3zGYzFy5ckHYjRBblqbYTG4th0SKM8+ahu3oVS7lypAYHg15PeFw4pZ1KW7uG4hmSp9qOELmItB0hsu5R7cZisZCWlp5bUafTafvt7Oyws7P7z6+bU7EQgJIlS7JlyxaqVHn4Y/+nTp2ibdu2REREZKnOOTZj6O2336ZmzZoULlyYQ4cO8cknnxAdHc3nn38OwLVr1/D0zJzYslixYgBER0c/8o8xc+ZMpkyZom07ODhw8uRJQkNDAbhw4UIOvBsh8jdpN0JkT55pOx07Qrt2FN66FWVjw+3z57VDZyPPWrFi4lmVZ9qOELmMtB0hsu7+dqPX6/H09KRBgwZER0dr+0eNGsXo0aP/8+vlVCwEwNnZmbCwsEcGhsLCwh4rp9D9shQYmjBhwr8mRTp48CAVK1ZkyJAh2r5q1apha2vLsGHD+Oijj/5TFG7YsGH4+/tr2xkzhsqUKSMzhoTIIrn7JET25Nm2U60aAMWtXA3x7MqzbUcIK5O2I0TW/duMoYMHDz4wY+hRckMsBKBPnz7a42LNmzfXcgxdu3aNXbt2MX36dN56660sl5ulwNA777xD7969//GcMmXKPHS/r68vJpOJsLAwKlSogJubGzExMZnOydh+1LN48OD0LovFQnx8vPY/2mAwyJelEFkk7UaI7JG2I0T2SNsRInuk7QiRdfe3G51OR1paGo6Ojuj1j7dQe26IhUB6UuuCBQsye/Zsxo0bpwW2lFK4u7vz3nvv8d577z3We7pXlgJDrq6uuLq6ZvlFAEJCQtDr9doUqXr16vHZZ5+RlpaGjY0NANu3b6dChQr/OHVKCCGEEEIIIYQQ4mnJTbGQgIAAAgICuHz5svYonLu7O15eXtmqH8Djhcey6NChQ8yfP5+QkBBCQ0NZuXIlY8eOpUePHtobfemll7C1tWXo0KGcOXOGtWvX8s0332R6TEwIIYQQQgghhBAiL3iasRAvLy/q169P/fr1/1NQCHIo+bSdnR1r165l8uTJpKam4uXlxeDBgzM9a+fs7MyaNWsYOXIkrVq1omjRoowcOVKWqhdCCCGEEEIIIUSe8zRiIVFRUezcuRMXFxdatmyJra2tdiwxMZG5c+fywQcfZKneObZc/dOSkWPIxsaG8+fPU6lSJXnuVojHZDabOXv2rLQbIbJI2o4Q2SNtR4jskbYjRNY9qt1YLBaSk5OzlGMotzh27Bjdu3fHYrFgMpkoUaIEy5Ytw8fHB0hPQu3j48ONGzeyVG7e+isIIYQQQgghhBBCPIM+/fRTOnXqRGhoKGfPnqVly5Z06tSJ4ODg/1RujjxKJoQQQgghhBBCCCGenBMnTjBt2jT0ej2Ojo7MmDEDDw8Punbtypo1a/Dw8MhWuRIYEkIIIYQQQgghhMgDkpOTM20PGzYMo9FI9+7dmTNnTrbKlMCQEEIIIYQQQgghRC7n4+PDoUOHqFatWqb9Q4cOxWKxMHDgwGyVKzmGhBBCCCGEEEIIIXK5nj17cvDgwYcee++99xg9enS2HieTwJAQQgghhBBCCCFELte3b1+++eabRx4PCAggKChI2z5w4AApKSn/Wq4EhoQQQgghhBBCCCHymR49ehAZGfmv50lgSAghhBBCCCGEECKfUUo91nkSGBJCCCGEEEIIIYR4RklgSAghhBBCCCGEEOIZJYEhIYQQQgghhBBCiGeUBIaEEEIIIYQQQggh8hmdTvdY50lgSAghhBBCCCGEECKfkeTTQgghhBBCCCGEEPnE//73P27duvXI44mJiUydOlXbDg8Pp0yZMv9argSGhBBCCCGEEEIIIXI5f39/2rRpw+nTpx96PDExkSlTpmS5XAkMCSGEEEIIIYQQQuQBZcqUoX379vzyyy9PrEwJDAkhhBBCCCGEEELkcjqdjm+++YZ3332X/v3788UXXzyRco1PpBQrslgs2r/1ej0Wi+WxM28L8ayTdiNE9kjbESJ7pO0IkT3SdoTIuke1m/tjCHlJRjLpESNGUK1aNd5++21OnTrFN998Q6FChbJdrk49bprqXMpkMpGYmGjtagghhBBCCCGEECKPKFSoEEZj3porU6RIEc6ePUuxYsUAOHfuHK+99hoGg4GffvqJggUL4uPjw40bN7JUbt76KzxCoUKFSExMpEGDBhw8eBBHR0drV0mIPCE+Pl7ajRDZIG1HiOyRtiNE9kjbESLrHtVuMmYM5UX3zxisWLEiW7ZsYeDAgbRu3ZpJkyZlq9w8HxjKiPDpdDqio6PR6XR5bjqYENYi7UaI7JG2I0T2SNsRInuk7QiRdY9qN3m5DT3sgS8nJydWrFjBp59+ypAhQ7JVbp4PDAkhhBBCCCGEEELkd7169aJAgQIP7NfpdHz00UdUr16dxYsXZ7lcCQwJIYQQQgghhBBC5HJz5879x+PdunWjW7duWS7XMGHChAnZrFOuYzAYaNq0aZ5LICWENUm7ESJ7pO0IkT3SdoTIHmk7QmRdfm0369at4/PPP2fatGksXbqU3bt34+DggLe3d7bKy/OrkgkhhBBCCCGEEELkdxaLhYEDB7Ju3TrKly9PhQoVgPTVyS5evMjrr7/Ol19+yc2bN9m3bx+dOnV6rHLzV9hMCCGEEEIIIYQQIh9asGABO3bsYPny5bRv3z7TsU2bNvHOO+9QtmxZli9fTs+ePR+7XJkxJIQQQgghhBBCCJHLNWnShMGDB/Paa6899PjSpUsJCAigVatWLF++HFtb28cqVwJDQgghhBBCCCGEELlciRIlOHToEKVLl37o8bCwMGrXrk1kZORjB4UA9E+qgkIIIYQQQgghhBAiZxQoUIDbt28/8nh8fDyOjo5ZCgqBBIaEEEIIIYQQQgghcr169eqxaNGiRx7/v//7P+rVq5flciX5tBBCCCGEEEIIIUQuN3z4cDp37sytW7d45513qFChAkopzp07x9y5c9m0aRMbNmzIcrmSY+g/UEqh0+kICQlh2bJlHD9+nHbt2tGhQweqVq2qHRdCPNzRo0dZsWIF4eHhdO/enTZt2lCkSBEsFgt6vUxoFM+28+fPU6JECRwcHKxdFSHypOjoaLZs2YLBYOCFF17AyclJxmZCPIaoqCh27NiBo6Mj7du3x2AwSNsR4jE8rX5n48aNBAQEcOvWLW2fUgoXFxdmzpxJly5dslymBIb+o+PHjzNy5Ei8vLyoU6cO+/fvJygoiOXLl1O9enVrV0+IXGvjxo188skn1KpVi1KlSrF9+3YcHBxYv349BoPB2tUTwipu377NxIkTWbVqFU5OTvj4+DB8+HAaNWpk7aoJkaf8+OOPTJgwAVdXV2xtbUlKSmL16tV4enpau2pC5GozZ85k9uzZuLu7o5SicOHCrFixAmdnZ2tXTYhc7Wn3O3fu3GHbtm389ddfAJQvX57WrVtjb2+frfLklvxjuHbtGr/99htnz54F0qNxkP4/Y+rUqRQtWpQFCxYwZMgQlixZgre3N1OmTOHOnTvWrLYQVhcdHc3u3btJSUnJtD8mJoaxY8fSvXt3Fi5cyMcff8yaNWs4ePAgCxcuxGw2W6nGQjw9937OM/qVZcuWcezYMZYtW8aqVatISUlh3Lhx7NmzJ9N5Qoh0Fy9eJDExMdO+iIgIJk2axLBhw9i/fz/Lly/Hzs6OsWPHEhYWZqWaCpG7hIWFPTDeOnPmDN988w2TJk1i//79fPvtt4SHhzNx4kRu3rxppZoKkbtYu985dOgQv/32GwULFqRTp0689957uLm5MWbMGGrUqEFAQMADv70ehwSG7nPvoDs0NBR/f3+aNGlC79692bFjB4A2FaxgwYIcOXIEPz8/bGxsSE5OxmAw4OXlxbZt2zh+/PgDZQqR3ymlOHLkCP369aNmzZp07dqVy5cvZzonMTGRyMhIXn31VQASEhIoWrQoPj4+rFmzhtDQUCvUXIicpZRi7969BAQE0KpVKz744AO2b98OpPcriYmJbNu2DR8fH1q0aEGVKlWYP38+Li4uWpJB6U/Esy41NZVff/2VHj16ULZsWV555RX69+/Prl27tHN2796Ni4sLLVq0AKBUqVKMHj2a6OhoNm/eDIDFYrFK/YWwluTkZDZs2ICfnx/lypWjR48eDBo0iJCQEO2cwMBASpUqRbNmzQCoXr06w4cPJygoiH379gHSD4lnT27rd6ZOncqff/6pbZ86dYr33nuPli1bEhAQwG+//cbMmTOzXK4Ehv4WEhLCxYsXMz3/FxcXB8CcOXOoXbs2oaGhxMfHA2AymQCoVKkSGzduJDo6mgIFCpCQkEBkZCSA9iGQL1CRn50/f56EhARtW6fTce7cOZydnfn2229xdnbWgqT3KlGiBCtWrADAwcGBoKAgEhMTiY2N5cSJE4C0HZF/JCYmMnv2bEaNGkVKSgr9+vXj+vXrDB48mPXr1wNw8+ZNrl27Ru3atbXrSpQoQbt27di7dy+JiYmSe0s8c5KTkzNtHzp0iCVLllC2bFnWr1/Pd999R2JiIl988YXW1yQkJJCYmIiTk5N2na+vLx4eHuzcuRNAcqWIfC81NTXT9pYtW1i8eDFVqlRh3bp1fPHFF5w6dYqPP/6Y8PBwIP2Ha1JSEm5ubtpsolatWlGwYEH2798PSNsR+V9u73dOnjypBaAA1q5dS506dZg1axZDhgxh8uTJrFu3LsvlPvMjzClTpuDp6UmPHj3o27cvixYt0n7kenl5MW7cOJ5//nmaNGlCcHAw0dHRma4fMmQIp06dok+fPvj5+eHr64u9vT2dOnXi3LlzADKQF/nO7du3ef/99/Hw8ODFF1+kX79+2oABoGnTpowZM4bOnTvj6+vLli1bMl1fpkwZ+vfvz9y5c+nfvz89e/bktddeo02bNtjZ2WntTAYfIq/ICGJGRUUxZ84chg4dytq1a7XBRXx8PDExMbz//vvMmzeP119/nfnz51O3bl1+++03AEqXLk1sbCzJycnazQeDwUDVqlXR6/Xs3bs302sJkV9FRkYyduxYatasiZ+fH0uXLtUeY7FYLHTo0IHRo0dTo0YNatSowcyZM4mKitJuzNWpU4fw8HCSkpK0MosXL0758uWJiIjg9u3b0r+IfCksLIyRI0fi6+tL//792bBhg9YP6fV6OnbsyKhRo6hevTqtWrVi9uzZnDhxQrsZXrlyZS5fvozJZNLyPZYtW5aSJUsSFhb2wOMzQuQXeanfiY2NpVixYtr23r17ee6557TtOnXqcPXq1SyX+8xELB72nN0ff/zBzz//zNSpUzl06BDNmzdn/vz5LFu2DAAnJydKliwJQMuWLQkPD9ceicn4suzQoQMrV66kfv361KhRg2+++YYffviB+Ph4ihQp8kDEUYi85p/yoPz4448PzYPi6emJu7s7AG3atGH//v2ZZhUB+Pv7s3DhQnQ6HeXKlWPhwoVMnTqVyMhISXAo8hydTkdERASvvvoqP//8M0opxo8fz8CBA4H0wcH48ePp3r07Op0Ok8lEwYIFSU5OpkiRIlofVaFCBQ4fPpxp8F2sWDG8vb0fOvNOiPwko4/59ttv2bNnDxMnTqRJkyZ88cUXfPLJJwA0a9aM119/HRcXF+06g8HA1atX8fHxAdITcBYsWJBjx45lKtfV1RWj0Sh5hkS+lJKSwldffUVQUBAffvghxYsXZ+TIkcydOxdI/80ycODATCtdpqamkpSUpP3eKV++PCaTSWs7GWNANzc37ty5w40bN57yuxIiZ+XFfqdYsWJaTCI1NZXg4GDq1aunHY+Pj8doNGa53KxfkYccOnSI5cuXc/DgQUqXLk3nzp154YUXKFq0KJAeGLK3t6dnz54AfPzxxxgMBubPn8+gQYPQ6XTa8nIZK8KcPXuW1q1bZ4r4lStXjs8++yzTa1+6dAlfX18KFCggS2+LPEUpxb59+1i1ahVBQUHUqVOHTp060apVq0x5UCpXrqxNY5w/fz4BAQEsWrSIpk2bZvrMt2zZkrFjx3Lx4kVq1KihvY6trS1t27albdu22r7w8HDs7e0pXLiwVhe5qytymwMHDmAymWjatGmm/TNnzsRkMrFmzRpcXV3ZtWsXvXr14ocffqBv377Y2tpqz5cbjUZu3bpFREQEL7zwAnZ2dgB07tyZr776iosXL2qPlLm7u5OWlqZ18tImRF4XFhbGpk2bCA0NpXHjxrRp04ZChQqh0+m4cOECCxYsYOHChXTq1IkuXbpQtWpV+vfvz+DBg6lUqZI24FZKodfrWbRoEc2bN9fuoDo6OlK/fn02bNhAhw4dtJsNDg4O3Lx5M9OdViHykrCwMH799VeioqJo2bIlzZo108Zbp06d4vvvv2fz5s3Uq1ePrl274uXlxbRp03jzzTdxcnLCYrGg0+mwWCwYDAa+/fZbOnfujKOjI5D+m6Z69eqsXr2aJk2aaDfCXV1diYiIoESJElZ770L8F/mp32nbti0TJ05kwoQJbNq0CXt7+0yr1546dYqyZctmudx8Fa2Ij48nMDCQoKAgfv/9d4YPH86dO3cYPnw4NWrUYPLkyUyePBlIzx90584dihcvrl1vZ2fHK6+8Qnh4OEeOHAHQvjzt7e0pX748ISEh3Lp164HXTkhIwGQyoZTiiy++QCnF888/D8ijZCL3i46OZtOmTURFRTFv3jw++OADUlJS6N+//yPzoNSpU0e7/p/yoFSsWJHixYtrs4nulzGT6M6dO3z66ad4eXlpX27yA1jkFkePHmXgwIF4enryzjvvMHLkSHr06JFpqu6+ffvo3Lkzrq6umM1mmjdvzssvv8yyZcu0O0U6nU5rH//73/8wmUz06NFDK+OFF17A3t6etWvXavuioqI4cuQIDRs2fErvVognKyUlhfPnz2tjso4dO7J27Vru3LnDmDFjGDBggHbu9evXsVgsWvJbvV6v/cBdsWIFJpNJu3Gn1+sJDQ1l69at9OrVCwcHB+0xzH79+vHnn3/y448/Aum5Ibdu3UqRIkUyjf2EyM1SUlIIDw/n+vXr+Pv70759e9asWcPVq1d58803+fDDD7Vz//rrL9zc3LSbCjY2NrzyyivY2dmxevVqIL09ZQSFjhw5QnBwMK+++ipGoxGlFHZ2dvTp04fNmzezYcMGIP331Y4dO/D29sbGxubp/xGEyIb83O+MHTsWo9FIp06d+OGHH5g1axa2trba8R9//JFWrVpludx8NWPo3LlzfPHFF0yfPp2YmBj8/PwYPHgwdnZ2mM1m3NzcmDNnDlOnTsXJyUn7Arx9+7YW1atUqRJeXl7s3r2bunXrAmizH5o2bcrGjRuJiIigSJEi2uvGxsbyyy+/sG3bNoKCgrBYLIwbN47q1atb5e8gxOPKmJGzZ88eJkyYwO7du4mIiGD48OF069YNnU7HSy+9xFtvvcVvv/1G165dH8iDYjQaH8iD0q5dO8xmMwaDAYPBQKNGjdi2bRv+/v6ZXj8yMpJly5Zx8eJF9u/fj7OzM1OmTMnUvoSwlj///JNRo0Yxd+5c1q5dS1paGmvXrqVmzZps3bqVsWPHMnv2bCZPnkx8fLx2RxXSp/ba29vj5+fH5s2bOX/+PJ6enlrZERERTJ8+ndmzZ+Pg4KC1RXd3d9555x3GjBlDSkoKjRs3Zvny5bz44otUq1bNWn8KIR7b/TM9U1NT+fTTT4mLi+Pdd98lNDSUWbNm0bp1awB+//13LU9do0aNuHHjBt7e3pw4cYIWLVqQmpqqzTDdsWMH7777LoULF9YCrPPmzcPV1RU/Pz+UUtrMunbt2nHhwgU+//xzTp06RWhoKJGRkfzf//3f0/+jCJENd+7cwd/fn5o1a1K3bl3i4uL49ttvadKkCRaLhUWLFvHll1/Su3dvatasyY0bNyhTpgwnT56kVq1aKKVwd3enefPm/Pbbb7zxxhvA3XQYc+fOpVq1arRo0SLTTO+ePXty/PhxAgIC2LNnD6dOneLmzZtaqg0hcptnrd8pWrQomzZt4vbt2zg4OGhtOsP3339PoUKFslxunprKkhGxzlie7f4EnGXKlCEsLIyaNWvSu3dvAgICsLOzQymFwWAgLi4OT09PLUlU6dKluXbtGn/99ReQHgCysbGhVq1a2oyhjB+3kD5t68aNGxw7dozff/+d77//HgBnZ2fc3d3x8PBgwoQJHDhwgJdeeulp/EmEeCxxcXGsX7+eZcuWceXKFW1/xpdo0aJFcXJyonDhwkycOPGJ50Hp2LEjwcHBnDp1is2bN7N7924g/Zl1W1tbChYsyCeffMLmzZtlVoR46u7cuUNISIg2ey3jca+zZ8/i4OCAjY0Nbdu2ZcSIEdStWxcbGxvat29Pjx49tM+y2WymbNmy2qIDBQoUAKBRo0akpqZmmjEE8Nlnn9GoUSNtZum9A5rXXnuNWbNmce3aNcaOHYuzszOjRo2S3FsiV/vzzz/Zt29fps+yUgpbW1v+/KMdP5wAACAASURBVPNPfH198fLy4uuvv9YG5wA1atTA29ubU6dOAeDi4oKjoyPBwcHA3bbx3HPPceHChUw5Iw8cOMCyZcv4+uuvtXNv376NyWTC1taWgIAAli1bhr29Pc2aNWPFihWZZrsKkRtcunTpgTyMSikKFizImTNn8PHxoXbt2kyZMkULCun1eurWrYubmxuhoaEAeHh4kJKSov2uyfid1KRJkwdWe12/fj3btm1j1qxZQPoMiYSEBMxmM3Z2dsyYMYNp06YRFxdH06ZN+fHHHylXrtzT+HMI8die9X7H2dn5gaBQxvu5dwbR48oTM4auXr3Kl19+yaZNm4iOjuajjz6icuXKDzxmkhHtu3z5MpUrV9aeozWbzRiNRg4cOEDlypW1BGsNGzZk69atHD58mDp16qDX61FK4ebmxtmzZ4H0qLrFYmH//v3s2LGD8PBwAgICKFCgAH5+fvTo0YOCBQvSrl072rVrp9VFcqMIa1NKsWvXLr788kuOHz9OqVKlcHFxYdKkSSxevJgGDRpo554/f55atWoRExNDsWLFHsiDcvXq1Ux5UDp16sSsWbP+MQ+KwWAgNTWVI0eOcODAAa5fv07z5s0xGAxMnDiRhg0bYmNjw3vvvfdAvaXtiJyWlpbGqlWrmD17NpcvX6Zly5aMHDmS2rVrawNno9FIaGgo7u7uWjL1e505c4aKFSsCULhwYSpWrMjOnTu5fv06rq6u2h2nIkWKZFrR8siRI5w7d45PPvmEmJgY1q1bx86dO2ndujVvvvkmAN26dcvU5oTIjeLj45k5cyZLlizB1taWwoULU6tWLYYPH0758uVJS0vD1tYWg8HA5cuXsbGxoVSpUsDdG2+XLl3i1q1b2iztSpUqUbx4cY4ePQqgPbpSunRpEhMTtf4pMTGRGTNm0KdPH8LCwliwYAGbNm2iSJEiLFiwgCpVqgDpS21nZ0q9EDnp6tWrzJgxgzVr1uDk5ES1atUYOHAgbdq0Ae6OhUqVKsXly5dp3769ljQ6o48KDw8nJiZG+9FZu3ZtbGxsCA4Oxs/PT5vdULJkSZKTk7UnJG7evMn8+fMZOnQowcHBbNiwgcDAQKpWrcqMGTPw9PTEYDDg5+eHn5+fFf46Qjya9Ds5J9fNGLp+/foD+27fvk1SUhLTpk2jQYMGhIaGEhsbqx3P+IK8ePFipqn6GYEeo9HIzp07OX36NK+//rp23NfXl0qVKrF06VJtX2xsLIGBgbRo0UIr12Qy8cEHH7BmzRo++eQT9u/fT0REBLNnz6ZgwYKZ6pFxjfywFU9bWFhYpjtOGaskNW/enC1btrB//35WrlyJh4cH3333HfHx8dq5t27dIikpiWLFimnPz96bB8VsNmfKg9KxY0cKFCiQKQ9KZGTkA3lQjhw5wttvv83u3bv5/PPP2bt3L9euXWPw4MGZnlO3WCzSdkSOio2N5ffff9dyxO3Zs4fvvvuOPn36sG/fPmbOnKndNMi4++Lm5papTWUMDCC9v9m3b582NR/SB+UWi4VNmzYB6QnWU1JScHZ25s6dOwAkJyczZ84cjh07Rr9+/ahatSqLFy+mYsWKmRKxA1pQyGw2yxL1IldatWoV27dvZ86cOZw4cYKRI0cSFBTEkiVLgPTBdWJiIl5eXtpNg4x2lNHOFi5cSO3atalVqxaQPoO1cePGHDp0KNMqLrt376ZMmTLastr79u1j69atfPvtt/Tv358rV64wbtw4AgMDtcF5BqVUpvYrxNN072cv47+//fZbLl26xIoVKwgMDMTR0ZHJkycTGBgIpP+GiYiIoFixYtojIRn9QEbbWbBgAR07dqR06dIAlCpVirp167Jz585M+VD3799P5cqVtVnemzZt4tChQ0yaNInXXnuNiIgIPvroIxYvXpzpd1TGa0rbEdY2ffp0LW/PypUrpd/JKSoXOHLkiBo2bJjy9PRU3bp1U5GRkUoppSwWi1JKqbi4OBUWFqaUUmrq1KmqTZs26tSpU9o5ZrNZKaXU7t27Vd26dZXFYtGuzTinZcuWaty4cUoppZ2vlFLnzp1T5cuXV127dlWLFi1SgwYNUm3btlWXLl3KVIeHMZlMT+gvIETWpaWlqZ07d6p+/fqpcuXKqdq1a6tevXqpLVu2aOdERkaquLi4TNf1799fvfLKK0qpu5/hxYsXqxYtWiilMrePq1evKm9vbxUYGKiUytweli5dqkqXLq1Gjhypfv75Z/Xyyy+r/v37q9jYWO2cpKSkh9b93tcQIidlfNa2bt2qvLy8lFJKxcbGqs6dO6upU6dq58XExDxw7cqVK1Xfvn1VdHS0ti81NVUppdTgwYNV3759lVLpbTHj3x988IHy9fVVu3fvVkoptX79elW1alW1fft2pZRSCQkJavjw4erjjz9W27Ztk35E5GonT55Un332mfLz81Pbtm1TSt3tN1JTU1X//v1V9+7dtfOTk5NVt27d1Icffphp38svv6xWrlz5QPnbtm1TVapUUadPn1ZK3W1LMTExqk2bNqpt27Zq27Zt6sKFC6pDhw5q9OjR2rXnz59XK1euVBEREQ+U+09jNyGehmPHjqkPP/xQPffcc+r999/PNDYLCgpS9erVU/Pnz9f2xcbGqpdffll17dpV25eUlKQaNmyo9u/f/0D5K1asUL6+vtrvo4y2ExwcrBo2bKheeuklFRQUpEJCQlSrVq3U5MmTtWtDQkLUkiVLHtp2hMhNMsZwr7/+uho+fLhSSqk+ffpIv5NDrDZjaPr06SxfvhxIf871xo0bNG/enOTkZC5dupQRtALSl3/LiIY3b96cqKgo7Xnae1d4cXZ2Jj4+HrPZnGnWwfz580lISOD9998HMq8SVqFCBVavXk2NGjVYuHAhSUlJfP7555QpU0YrP4PFYskU+XvYM31C5LRp06axcuVKzpw5w4IFC3BycuLHH39k0aJFJCUlMWnSJG0qZPHixbUlSIODgxk/fjxhYWGMHj0aSP8MK6VITU2lXLlymZIPQnoelIYNGz4yD8rXX3/9j3lQMvKs3N92ZKU+8aSlpqayadMmAgICGD58OLt27QLuftYcHR1xc3PDbDYDcPjwYRo3bsz48eOpWrUqPXv2ZNKkSYSHh2tlXrlyBYPBgJOTE5A+e9TGxoa9e/eye/duBg0aBKDdkTIajYwYMYJy5coREBBAmzZtePfdd+nWrRstW7YEoFChQkyfPp0JEybQqlUr7XHlPHdXSeRLsbGx/PbbbyQnJ7Nv3z6GDBnC5s2bOXPmjJZ7MUNGXq3Dhw9z5coVEhISWL58OWazmREjRgBoi3xcuHBBy3eglNJmwU2fPp3OnTvj4+MDoK2M5OrqysyZMylXrhzvvfceTZo0oXDhwplWkSlfvjwvv/wyJUqUyFQmyMxT8fRlzEqNiopi8eLFDBkyhKtXr/Lyyy8TGxvLm2++yZo1awBwcnIiKiqKmjVratfb29sTFhbGrl27uHnzJpA+hoqLi9P6rYzZ1QkJCcydO5dXXnlF+32U0Q9Vr16d6dOnYzQa6dWrF8899xze3t706dNHe61q1arRt2/fh7YdIZ6WjM9cxmIcPXv2ZN68edpqr2azGb1eT1xcHO7u7tqqXuXLl5d+J6c87UjUvZG/ESNGKKWU2rt3r7p06ZI6cOCAat68ufruu++UUo+OvNWuXVvNmDHjgTut69atU3369FGXL1/Wro+MjFTt27dX33//vbpx44ZasGCBatOmjRo2bJhS6m6UUGYwiNwu4zPap08fNWHCBHX58mU1d+7cTLMZrly5omrVqqXWrl2b6dqgoCBVrlw51bZtW+Xn56cqVqyo1qxZo5KTk5VSSr3//vtqwoQJWntQSqnDhw+rNm3aqL1796rIyEg1f/581bNnT7Vw4cJMZWeUIYS1rF69WjVq1EjVqVNH+fv7qyFDhigXFxf1008/aZ/ppUuXqgEDBqiYmBh17Ngx1bJlS9W5c2c1aNAgdeDAAbVgwQJVq1Yt1a9fP63cH374QTVr1kwplXmGaJcuXbT+SymlwsLC1JUrVzLVaf369eq7775TFy5ceGidzWZzvri7JPK2hIQEpdTdsdDWrVuVp6enUkqpv/76S02bNk2FhISoAQMGZGobGWJiYtSnn36qmjVrplxcXFSlSpVUgwYNVP/+/dXRo0eVUul9RM+ePdU333yjlLo76+6nn35SLVu2VLGxsSo5OVnt3LlTTZ06VSUmJmZ6jTNnzsgYTeQ6t27dUqGhodr2li1bVPny5dXNmzfVuHHj1PLly7V2lZqaqvr166feeOMNbczUpEkT1b17d3X+/HllsVjUokWLVLdu3VSJEiXUTz/9pJRSKjQ0VPXq1Uv9/PPPSqm7/dC8efNU+/btldlsVklJSWrHjh1qxowZSqm7v52SkpJUcHDwI9uO9D8iN7hx44bq3r27ev7559WHH36omjdvrmrVqvXALO4OHTqo1atXK6Wk38lJT/S2vcpi5K9YsWIANG7cmDJlyuDr64uDgwPnz5/XEkffK+OOqo+PDyEhIVo+IpPJBKTnJzKZTLi5uWlJ23766ScOHjzImDFjqFChAt9//z3169enf//+wN0Ie8ZdZYmaC2s6f/48X375JUOHDmXFihXcuHEDyNx2SpQoQcGCBfH09MTf3x83NzfteqPRSEREBOXLl89UbtWqVTlx4gS///47//vf/+jduzfz5s1j7969QHobioiIwGg0YrFYSEtLkzwoIs9wd3dn1KhRbNu2jblz5zJnzhxefPFF1q5dq+VUiIuL05aUNxgM6HQ6Tpw4Qc+ePWnQoAFvv/02s2fPJjAwkJMnTwLp7Smjn8qYIbp06VJOnz5NlSpVCAgIoEaNGtSsWZNNmzZlmvXTpUsX3njjjUeu4qLX6/PH3SWRp6SmpvLLL78wYMAAypUrp+VdzBgLOTo64u7ujsViwdvbmxEjRlCtWjXKlStHVFQUFy9eBO6O91xdXalbty4FChRg3bp1nDp1iq+//pqkpCRtZmp0dDQFChSgSJEiQHr+h+vXrzNx4kQiIiLo168fnp6evPbaa+zdu5fk5ORMda5cuTJ6vT5TLjohnraUlBSt7VSuXBlvb29+/vln7biTkxMuLi4ULlyY8ePH06tXL4xGozbTVCmFg4OD1k9MnDgRvV7PCy+8QNGiRVm4cCFdunShbt262spI8fHxJCYmZsp/FxoaymeffUZsbCx+fn54/X97dxoT5fX9Afw7zDAMa9nsIJswhLWIC4IWBDe0SF1S9yXFFUpq1SYuBLXYuhKVRmppRU2txVR5YXEjoZZYtRCDioDsqCAUCSIoywDCAPf/gt9zmWH5t1oXlPN5o5n1mcwc7n3Oc+85w4YhODgYV69eRWtrKx9XZDIZhg8f3m/s0PhDXpf29nakpKRg3759yM/P17gvMTEROTk5OHLkCPbs2YMLFy5ApVIhOjqa1/UBumKhra0NAI07r9JLTQyJRCI8efIEa9euRUpKChQKBRISEjBjxgzU1NTwibWRkRFycnI0Tl7b29shkUjg6OiI0tJS3lJb/csQ/j9x4kQUFxejsrKy60P8L6kjl8uRn58PmUzGu5FZWFhgzZo1OH36NKqrq3H9+nXs2bMHw4cP7/MzCCcMhLxONTU12LBhA+bPn48rV65AJpMhKioKixYtAoBesSOcbLL/FTwXlhmfOHECnp6esLa21nh9sVgMAwMDHmdBQUFobGzk7RetrKx4glVLSwsqlQrm5uZYt24d4uLiUF1djfT0dHzzzTd8m2VPFDvkTRk7dixmzZqlsY1RJBJBLpfz24YOHcpb+NrZ2fEYmTBhAn/O+PHjoaWlxS9mFBYWwsnJiSeXgO6tzwcPHkRDQwOioqJQVVWFkJCQXlskB9Nkggx8x44dg4WFBcLDw6GtrY2YmBgcP35c4zHFxcUYMWIEqqqqAHRfeHNzc0N7ezsyMzMBdP+229vbkZycDAcHB/j7+0MkEsHb2xthYWHIyclBR0cHLC0tcfPmTY0kaW1tLWQyGdzd3TFhwgSkpqaivLwcZ8+e5RP5niiZSt4ExhimTp0KS0tLREREQCaTYdu2bZBKpbyjEdAdO5WVlZBKpbzwrEQiQVNTE8rLy2FnZwddXV0wxjBlyhT8+OOPiI+PR2FhIa5fv47ly5fj8ePHGDp0KICuserWrVsa86779+/D1NQUQ4cOhZ+fH1JTU1FWVoZz587128WSYoe8KdnZ2ViyZAk2bdqEqKgoZGVladyfnJyMoKAgviXSyMgIq1atQmZmJn9sfX09HB0d+cXy1tZWGndekRdqV9/e3o4rV67g9u3bmDFjhkYVbiHzl5KSAltbWzQ0NMDHxwfR0dGIiIjgtRrUT0rV65qMGTMGP//8M4qKimBra6vRulp4zJQpU3Do0CFkZWWhsbERDx48QHBwMNrb22FnZ4fW1lbo6OhALBZj8eLFGscuZOpFItGg+qLJwNBf7HR0dCAnJweHDh2Cn58fgK4/pgEBAUhLS4Ovry9P6qjHjhAfYrEYVVVVuHDhAlauXAkTE5M+318ikUClUiEpKQm1tbUYOXIkGGN49OgRXFxceCzq6enhwIEDGs8VYofqA5GBRuhw19DQgCNHjiA5ORmPHz/G/v37+WOUSiVcXV3R0tICIyMjTJ06FRcvXkRGRgY8PT0BAHl5eTAyMuJXjpqbm9HY2Ah9fX0ef3v27IGpqSnMzc01jqFnfS6ArsiSgWXIkCGwt7dHYmJir85Dwu+7oaEBSqWyV4e+Dz74AAYGBsjKysLcuXN5YkilUqG0tBTOzs4AurvBJiUlQS6Xo66uDmZmZpBKpRoJVgcHB55kUiesjqXYIQOFSCTCzp07YW1tzS8o3L59G2ZmZnwuBoDHjpWVFZ+bCb/jc+fOobq6mq/QE243NzfnYwljDJcuXcL9+/d5y/qWlhYoFAo8fPiQrw738fFBTk5Or+MU2nATMpBoaWnB3d0dUVFRCA0NRXp6OubMmcNrkBoYGKCmpgYikYiPQ/7+/khOTsaNGzfg7+8PpVKJ5uZmnjzq6OigcecVee7EUHZ2Nnbv3o27d++irKwM1tbWGomh/jJ/v//+O7KysuDv788zf0JxNfUvwtvbG8eOHUNxcTGmTp3aa6J9+/ZtpKamoqKiAhs2bIBEIsH06dMRHByMvLw8ODo64tmzZxpZc2FbmnqhakJet75ix9XVla9siI+Ph1wuB9A1QXB2doatrS2Kiorg6+sLsVgMpVKpETtAd/z89NNP0NLSQnBwsMb7MsZw4sQJDBs2DCUlJbh8+TIqKioQGxvLr0rl5eVBoVD0ig+KHfI2efz4MdLS0uDj4wOJRIKQkBCEhIRgy5YtqKio4MUCAWDGjBlITEzE+vXrERERAW9vbxw+fBheXl58FZFcLuerjIQJt5OTE4DuNqTCZILigwx0o0aNgqmpKeLi4qBQKJCeng4vLy9MmzYNw4YNA6D5m1e/MGdvbw9LS0vcu3cPbW1tkEql6OzshK6uLqZMmYKYmBjo6OjA19cX169fx7Vr17B161aYmZkhNzcXCoUCdXV1/HWFrWs9J+R0YksGonHjxgHoTqAKDXCEORTQ1exDiB11T58+xa5duxAZGQlTU1ONuGpsbMTDhw9haGiIwsJCREdH44svvuDjTG5uLuRyOV+5xxiDrq4uAIod8nZwcXHB5s2bIZPJMH36dJw6dQpPnz7lsePh4cFXrgq/YRcXFxgbG/PdQ1ZWVsjOzsbmzZsBAHp6ejTuvCLPPZMVMn9nzpzB6NGjkZ6errEvr2fmD+jqJMYYw40bNwCAZ/6EzLt6Vt3JyQnm5uYoKSlBXV0dHjx4AKVSCaDriwwPD8cPP/yAzZs34/Lly6iursaJEycAAF5eXpg4caLGdgLhmCkLSN60vmJHfeWPkBQSuuplZmZCpVLxxKtIJOoVO8LJaE5ODmJjY/Hdd9/xP3BNTU18v3l5eTm2bNmC48ePw9HREbGxsfjoo4/4FrSlS5fC3d29z2Om2CFvCwcHByQmJmLHjh2IjIzE3r17kZSUhFu3bkFXVxelpaXQ09ODSqWCiYkJ9u/fj9GjR+Prr7/GyJEjUVpais8//xzGxsbo7OyEWCzGxIkTNSbyAmGlHsUHeVvI5XLY2NggISEBly5dgrGxMY4dO4aAgADcvXsXQNcqOWdnZ41aJYwxiMViODs7o7a2FsXFxQC6VjMAwPLlyxEREYHCwkKEh4ejqKgIkZGRmDVrFoCuukUeHh58jFGPGYoh8jYRTiwZY2hoaICLiwu/T6lU9oodoKuTrJOTE48H9fvq6+vx66+/wsfHByEhIRg5ciRCQ0P5+1hYWMDOzg6Ojo69nkuxQ94G2trafHXQ9OnTUVpaivLycn6/t7c3KioqcO/ePYhEInR2dkJfXx9isRhtbW28zpC5uTnf4gwAK1eupHHnVXjeatVtbW2spaWFMcbYgQMHmKenJ6usrOT3f/vtt2z48OGMse6K90qlki1YsICtX7+eP87FxYVXDld/7YaGBjZ//nxmbW3NXF1dmYmJCTt79ix/TF8VwoUq/VRhnwxk/xQ7Pa1evZrNnTu31+2urq48djo7O1lbWxtbsWIFW7t2LUtLS2Pbt29nnp6e7MMPP2Tp6emMsa7uGeodx3oajJX3ybtL+K2npqYyNzc39ueff7K4uDi2cOFCxljvsSI/P581Nzf3ep2ioiJWX1//6g+YkNckKSmJXb16lbW1tTGVSsVaWlqYn58f++yzz1hbWxvbvXs327RpEx+rej7Xx8eHLV26lAUGBrLQ0FCN+/+/WBG6nxHyLti1axebNGkSe/LkCb8tMjKShYeHa8ROfn4+CwgIYH/88Qerq6tjv/zyC1uxYgX7/vvvGWOMtba2soKCgn67VzLGWGNj46v7IIS8ZjY2Nuzw4cP83L2pqYmNGDGC7dq1S+Nxc+bMYatXr2aMMZabm8uWLVvGLl68yBjTPGehcefleu4VQ68i8yesWoiPj8ewYcOQmZmJadOmYdu2bSgsLMTs2bP58n+hQrh6lXBhhQRl/8hA9k+xo+7q1au4du0adu/eDaC7vk9HRwfMzMx47IhEIty8eRNnz57FyZMnsXDhQmRnZyMsLAznz5+Ht7c3GGMwNjbmHcfUOycJaBsMeRcIY4JEIkFtbS3OnDkDU1NTeHh44O+//4abmxtUKpXGWMEYg6urK3R1dXvFh5OTE6+LR8i7YNq0afD394e2tja0tLQgk8kwZ84cFBQUoLa2lm+TkclkfG5WU1OD0NBQrF+/HgUFBSgrK4OLiwvv7ioQYqWvDpX6+vqv5wMS8goJ40NJSQnkcjn09fV5nGhpaWnETmdnJ+Li4pCRkYF169ZBoVBg//79MDExwaRJkwAAUqkULi4uvEBuXx2QDAwMXuMnJOTVEHYReXt746+//uIrTvX09LBs2TL89ttviI2NBQBcu3YNZWVlfFu/oaEhcnNz+Qo99XMWGnderhcqPi1wc3ODvr4+srKyMGbMGIjFYowaNQq2trZISEjA1q1b+ZfX2toKlUoFIyMj5OXlwcHBgX+Bwr9BQUHw8vLq1TGM9VjGTyex5G2nHjteXl78Ny3se923bx/mzp2rUVgNAO7duweFQqHxx8/S0hIxMTHw9fWFQqHo9V4UO2SwiImJQUdHB3Jzc5GVlQVzc3McOHAApqamKCgogKenJy9ULaD4IIOJsEUF6C6YLpfLUVlZCR0dHX4hD+iOBxMTE7z33nvYt28fAgMDeY2T/lC9BvKuEorcikQiMMYglUp5YmjIkCEoLCwE0BUDKpUK2traCAkJgZ+fHyZNmvSPJ6o0BpF3lTDXmjlzJqKiovDkyROe9Fy1ahWam5sRFxeHU6dOobS0FPPmzcOSJUsAdG2pbGpqglQq7ff1adx5OV44MSQUYBMyf0uXLoWBgQHP/J08eRLGxsZYs2YNz/x98sknALozf1999VXXQajtpbWwsACgWRiKVgKRd0l/sSPcnpCQAJVKhY0bN0KpVCI1NRUZGRkICwuDvr4+8vLyNPa129nZabQyper6ZLDy8PDA0aNHYWNjg4MHD2q0op83bx4MDQ3f4NERMjAIJ7YSiQQlJSU4fvw4xo0bBxMTE1RVVcHV1ZWf1AJdE271Dn/U3ZUMZi0tLaioqODdLIUT0srKSo3Y0dbW1ogbgGKHDF5CnAQGBmLjxo04f/48GhsboaWlhQ0bNmDr1q0ICAhARUUFxo0bBysrK/7cZ8+e4ejRozAzM3tThz9ovHBiiDJ/hLyY/mJHIpGgpqYGO3bsQGNjI5YsWYKMjAwYGBjA398f7e3teP/99/uMHfVVdRQ7ZLCaPHkyJk+erHGbEBsLFiygq7GEAIiOjgZjDPn5+bhz5w7s7e2xd+9eAOh3ZZ2wSpU68JHBTiqV4saNG/j0008BdLeJLyws7DN2qLsrIV07h+Lj45GSkoKOjg7s3LkTCoUCYWFh6OjogEQiwdixYzF27FgAmmOOkZERxo8f/yYPf9AQsZ4b8p7To0eP4O7uju3bt2tk/iQSCdLT0/vM/DU0NODOnTsYPXo09PT0/vOHIORt1DN2RCIRli1bhsDAQHh4eMDPzw9BQUG8AxlAsUPIP2GM8WQQXZElpLfk5GQcOXIEDg4OmDlzJvz9/fl9CQkJMDAwwMcff/wGj5CQgaumpganT5/G7NmzYWNjw7dkUuwQ0r/6+np8+eWXkEgkWLFiBXx8fPp8XM/yMeT1euHEkHrm79KlS9DW1uaZv0WLFkFHR0fj8eqZP0IGs75ix97eHmFhYVi8eHGfsSO0ziaEEEL+i74m3sJtwkkuIeT5UOwQ8nyErZUUNwPHC28le/bsGdLS0mBoaIiLFy/+Y+aPEkKEdPk3sdOzxhYlhQghhLwMQuFc9fmZMEejCToh/w41xiHk+dHWyoHtt/xLUAAAAMFJREFUP28lU0eZP0JeDMUOIYQQQgghhJA34T8nhtQzf4SQf49ihxBCCCGEEELIm/ZSVwwRQgghhBBCCCGEkLcH7VshhBBCCCGEEEIIGaQoMUQIIYQQQgghhBAySFFiiBBCCCGEEEIIIWSQosQQIYQQQgghhBBCyCBFiSFCCCGEEEIIIYSQQYoSQ4QQQgghhBBCCCGDFCWGCCGEEEIIIYQQQgYpSgwRQgghhBBCCCGEDFKUGCKEEEIIIYQQQggZpP4PscDFVC8kAzQAAAAASUVORK5CYII=\n", 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" ] @@ -1283,7 +1257,7 @@ "\n", "Pandas v: 1.1.0 [pip install pandas] https://github.com/pandas-dev/pandas\n", "Data from AlphaVantage v: 1.0.19 [pip install alphaVantage-api] http://www.alphavantage.co https://github.com/twopirllc/AlphaVantageAPI\n", - "Technical Analysis with Pandas TA v: 0.1.99b [pip install pandas_ta] https://github.com/twopirllc/pandas-ta\n", + "Technical Analysis with Pandas TA v: 0.1.72b0 [pip install pandas_ta] https://github.com/twopirllc/pandas-ta\n", "Charts by Matplotlib Finance v: 0.12.6a3 [pip install mplfinance] https://github.com/matplotlib/mplfinance\n", "\n" ] @@ -1291,17 +1265,17 @@ { "data": { "text/plain": [ - "<__main__.Chart at 0x113ac5b80>" + "<__main__.Chart at 0x1147b4340>" ] }, - "execution_count": 19, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Chart(df, style=\"yahoo\", title=ticker, verbose=False,\n", - " last=recent, rpad=10, clr=True, squeeze=True, lazybear=True,\n", + " last=recent_bars(df), rpad=10, clr=True, squeeze=True, lazybear=True,\n", " show_nontrading=False, # Intraday use if needed\n", ")" ] @@ -1317,12 +1291,12 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -1337,7 +1311,7 @@ "\n", "Pandas v: 1.1.0 [pip install pandas] https://github.com/pandas-dev/pandas\n", "Data from AlphaVantage v: 1.0.19 [pip install alphaVantage-api] http://www.alphavantage.co https://github.com/twopirllc/AlphaVantageAPI\n", - "Technical Analysis with Pandas TA v: 0.1.99b [pip install pandas_ta] https://github.com/twopirllc/pandas-ta\n", + "Technical Analysis with Pandas TA v: 0.1.72b0 [pip install pandas_ta] https://github.com/twopirllc/pandas-ta\n", "Charts by Matplotlib Finance v: 0.12.6a3 [pip install mplfinance] https://github.com/matplotlib/mplfinance\n", "\n" ] @@ -1345,17 +1319,17 @@ { "data": { "text/plain": [ - "<__main__.Chart at 0x11510dcd0>" + "<__main__.Chart at 0x1168e1580>" ] }, - "execution_count": 20, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Chart(df, style=\"yahoo\", title=ticker, verbose=False,\n", - " last=recent, rpad=10,\n", + " last=recent_bars(df), rpad=10,\n", " volume=True, midpoint=False, ohlc4=False,\n", " rsi=False, clr=True, macd=False, zscore=False, squeeze=False, lazybear=False,\n", " archermas=True, archerobv=False,\n", @@ -1375,12 +1349,12 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -1395,7 +1369,7 @@ "\n", "Pandas v: 1.1.0 [pip install pandas] https://github.com/pandas-dev/pandas\n", "Data from AlphaVantage v: 1.0.19 [pip install alphaVantage-api] http://www.alphavantage.co https://github.com/twopirllc/AlphaVantageAPI\n", - "Technical Analysis with Pandas TA v: 0.1.99b [pip install pandas_ta] https://github.com/twopirllc/pandas-ta\n", + "Technical Analysis with Pandas TA v: 0.1.72b0 [pip install pandas_ta] https://github.com/twopirllc/pandas-ta\n", "Charts by Matplotlib Finance v: 0.12.6a3 [pip install mplfinance] https://github.com/matplotlib/mplfinance\n", "\n" ] @@ -1403,17 +1377,17 @@ { "data": { "text/plain": [ - "<__main__.Chart at 0x114e2d1f0>" + "<__main__.Chart at 0x1169b5880>" ] }, - "execution_count": 21, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Chart(df, style=\"yahoo\", title=ticker, verbose=False,\n", - " last=recent, rpad=10,\n", + " last=recent_bars(df), rpad=10,\n", " volume=True, midpoint=False, ohlc4=False,\n", " rsi=False, clr=True, macd=False, zscore=False, squeeze=False, lazybear=False,\n", " archermas=False, archerobv=True,\n", diff --git a/examples/watchlist.py b/examples/watchlist.py index 0fa959f..fcd157a 100644 --- a/examples/watchlist.py +++ b/examples/watchlist.py @@ -8,7 +8,7 @@ import pandas as pd # pip install pandas import yfinance as yf # yf.pdr_override() # <== that's all it takes :-) -from alphaVantageAPI.alphavantage import AlphaVantage # pip install alphaVantage-api +import alphaVantageAPI as AV # pip install alphaVantage-api import pandas_ta as ta # pip install pandas_ta @@ -50,20 +50,24 @@ def colors(colors: str = None, default: str = "GrRd"): class Watchlist(object): - """Watchlist Class (** This is subject to change! **) - ============================================================================ + """ + # Watchlist Class (** This is subject to change! **) A simple Class to load/download financial market data and automatically - apply Technical Analysis indicators with a Pandas TA Strategy. Default - Strategy: pandas_ta.AllStrategy. + apply Technical Analysis indicators with a Pandas TA Strategy. - Requirements: + Default Strategy: pandas_ta.CommonStrategy + + ## Package Support: + ### Data Source (Default: AlphaVantage) + - AlphaVantage (pip install alphaVantage-api). + - Python Binance (pip install python-binance). # Future Support + - Yahoo Finance (pip install yfinance). # Almost Supported + + # Technical Analysis: - Pandas TA (pip install pandas_ta) - - AlphaVantage (pip install alphaVantage-api) for the Default Data Source. - To use another Data Source, update the load() method after AV. - Required Arguments: - - tickers: A list of strings containing tickers. Example: ['SPY', 'AAPL'] - ============================================================================ + ## Required Arguments: + - tickers: A list of strings containing tickers. Example: ["SPY", "AAPL"] """ def __init__( self, @@ -74,24 +78,28 @@ class Watchlist(object): ds: object = None, **kwargs ): - self.tickers = tickers - self.tf = tf self.verbose = kwargs.pop("verbose", False) self.debug = kwargs.pop("debug", False) - self.name = name + + self.tickers = tickers + self.tf = tf + self.name = name if isinstance(name, str) else f"Watch: {', '.join(tickers)}" self.data = None self.kwargs = kwargs self.strategy = strategy + self._init_data_source(ds) + + def _init_data_source(self, ds: object): if ds is not None: self.ds = ds elif isinstance(ds, str) and ds.lower() == "yahoo": self.ds = yf else: - AVkwargs = {"api_key": "YOUR API KEY","clean": True, "export": True, "export_path": ".", "output_size": "full", "premium": False} - av_kwargs = kwargs.pop("av_kwargs", AVkwargs) - self.ds = AlphaVantage(**av_kwargs) - + AVkwargs = {"api_key": "YOUR API KEY", "clean": True, "export": True, "export_path": ".", "output_size": "full", "premium": False} + self.av_kwargs = self.kwargs.pop("av_kwargs", AVkwargs) + self.file_path = self.av_kwargs["export_path"] + self.ds = AV.AlphaVantage(**self.av_kwargs) def _drop_columns(self, df: pd.DataFrame, cols: list = ["Unnamed: 0", "date", "split_coefficient", "dividend"]): """Helper methods to drop columns silently.""" @@ -115,7 +123,6 @@ class Watchlist(object): tf: str = None, index: str = "date", drop: list = ["dividend", "split_coefficient"], - file_path: str = ".", **kwargs ) -> pd.DataFrame: """Loads or Downloads (if a local csv does not exist) the data from the @@ -131,18 +138,18 @@ class Watchlist(object): return filename_ = f"{ticker}_{tf}.csv" - current_file = Path(file_path) / filename_ + current_file = Path(self.file_path) / filename_ # Load local or from Data Source if current_file.exists(): - df = pd.read_csv(filename_, index_col=index) + df = pd.read_csv(current_file, index_col=index) if not df.ta.datetime_ordered: df = df.set_index(pd.DatetimeIndex(df.index)) print(f"[i] Loaded['{tf}']: {filename_}") else: print(f"[+] Downloading['{tf}']: {ticker}") - if isinstance(self.ds, AlphaVantage): - df = self.ds.data(tf, ticker) + if isinstance(self.ds, AV.AlphaVantage): + df = self.ds.data(ticker, tf) if not df.ta.datetime_ordered: df = df.set_index(pd.DatetimeIndex(df[index])) elif isinstance(self.ds, yfinance): diff --git a/pandas_ta/__init__.py b/pandas_ta/__init__.py index e8db551..03f06b7 100644 --- a/pandas_ta/__init__.py +++ b/pandas_ta/__init__.py @@ -18,6 +18,17 @@ except DistributionNotFound: else: __version__ = _dist.version +from importlib.util import find_spec +Imports = { + "scipy": find_spec("scipy") is not None, + "sklearn": find_spec("sklearn") is not None, + "statsmodels": find_spec("statsmodels") is not None, + "mplfinance": find_spec("mplfinance") is not None, + "alphaVantage-api ": find_spec("alphaVantageAPI") is not None, + "yfinance": find_spec("yfinance") is not None, + "talib": find_spec("talib") is not None +} + # Not ideal and not dynamic but it works. # Will find a dynamic solution later. Category = { @@ -25,7 +36,7 @@ Category = { "candles": ["cdl_doji", "cdl_inside", "ha"], # Momentum - "momentum": ["ao", "apo", "bias", "bop", "brar", "cci", "cg", "cmo", "coppock", "er", "eri", "fisher", "inertia", "kdj", "kst", "macd", "mom", "pgo", "ppo", "psl", "pvo", "roc", "rsi", "rvgi", "slope", "smi", "squeeze", "stoch", "stochrsi", "trix", "tsi", "uo", "willr"], + "momentum": ["ao", "apo", "bias", "bop", "brar", "cci", "cfo", "cg", "cmo", "coppock", "er", "eri", "fisher", "inertia", "kdj", "kst", "macd", "mom", "pgo", "ppo", "psl", "pvo", "roc", "rsi", "rvgi", "slope", "smi", "squeeze", "stoch", "stochrsi", "trix", "tsi", "uo", "willr"], # Overlap "overlap": ["dema", "ema", "fwma", "hilo", "hl2", "hlc3", "hma", "ichimoku", "kama", "linreg", "midpoint", "midprice", "ohlc4", "pwma", "rma", "sinwma", "sma", "supertrend", "swma", "t3", "tema", "trima", "vwap", "vwma", "wcp", "wma", "zlma"], @@ -37,7 +48,7 @@ Category = { "statistics": ["entropy", "kurtosis", "mad", "median", "quantile", "skew", "stdev", "variance", "zscore"], # Trend - "trend": ["adx", "amat", "aroon", "chop", "cksp", "decreasing", "dpo", "increasing", "linear_decay", "long_run", "psar", "qstick", "short_run", "ttm_trend", "vortex"], + "trend": ["adx", "amat", "aroon", "chop", "cksp", "decay", "decreasing", "dpo", "increasing", "long_run", "psar", "qstick", "short_run", "ttm_trend", "vortex"], # Volatility "volatility": ["aberration", "accbands", "atr", "bbands", "donchian", "kc", "massi", "natr", "pdist", "rvi", "true_range", "ui"], @@ -46,4 +57,20 @@ Category = { "volume": ["ad", "adosc", "aobv", "cmf", "efi", "eom", "mfi", "nvi", "obv", "pvi", "pvol", "pvt"], } +# https://www.worldtimezone.com/markets24.php +EXCHANGE_TZ = { + "NZSX": 12, "ASX": 11, + "TSE": 9, "HKE": 8, "SSE": 8, "SGX": 8, + "NSE": 5.5, "DIFX": 4, "RTS": 3, + "JSE": 2, "FWB": 1, "LSE": 1, + "BMF": -2, "NYSE": -4, "TSX": -4 +} + +RATE = { + "TRADING_DAYS_PER_YEAR": 252, # Keep even + "TRADING_HOURS_PER_DAY": 6.5, + "MINUTES_PER_HOUR": 60 +} + + from pandas_ta.core import * \ No newline at end of file diff --git a/pandas_ta/core.py b/pandas_ta/core.py index 255d7db..8d3a381 100644 --- a/pandas_ta/core.py +++ b/pandas_ta/core.py @@ -1,4 +1,5 @@ # -*- coding: utf-8 -*- +import pkg_resources from collections import namedtuple from dataclasses import dataclass, field from datetime import datetime @@ -23,35 +24,13 @@ from pandas_ta.volatility import * from pandas_ta.volume import * from pandas_ta.utils import * -version = ".".join(("0", "2", "02b")) - - -def mp_worker(args): - """Multiprocessing Worker to handle different Methods.""" - df, method, kwargs = args - - if method != "ichimoku": - return df.ta(kind=method, **kwargs) - else: - return df.ta(kind=method, **kwargs)[0] - - -def finalize(method): - """Adds Prefixes/Suffixes if given and Appends Results if True""" - @wraps(method) - def _wrapper(*class_methods, **method_kwargs): - cm = class_methods[0] - result = method(cm, **method_kwargs) - - cm._add_prefix_suffix(result, **method_kwargs) - cm._append(result, **method_kwargs) - return result - return _wrapper +version = pkg_resources.get_distribution("pandas-ta").version +# Strategy DataClass @dataclass class Strategy: - """Strategy (Data)Class + """Strategy DataClass A way to name and group your favorite indicators Args: @@ -59,7 +38,7 @@ class Strategy: ta (list of dicts): A list of dicts containing keyword arguments where "kind" is the indicator. description (str): A more detailed description of what the Strategy tries to capture. Default: None created (str): At datetime string of when it was created. Default: Automatically generated. *Subject to change* - + Example TA: ta = [ {"kind": "sma", "length": 200}, @@ -74,8 +53,6 @@ class Strategy: ta: List = field(default_factory=list) # Required. description: str = None # Helpful. More descriptive version or notes or w/e. created: str = datetime.now().strftime("%m/%d/%Y, %H:%M:%S") # Optional. May change type later to datetime - last_run: str = None # Auto filled - run_time: str = None # Auto filled def __post_init__(self): has_name = True @@ -129,6 +106,8 @@ CommonStrategy = Strategy( ) + +# Base Class for extending a Pandas DataFrame class BasePandasObject(PandasObject): """Simple PandasObject Extension @@ -143,7 +122,7 @@ class BasePandasObject(PandasObject): if len(df.columns) > 0: common_names = {"Date": "date", "Time": "time", "Timestamp": "timestamp", "Datetime": "datetime", "Open": "open", "High": "high", "Low": "low", "Close": "close", "Adj Close": "adj_close", "Volume": "volume"} - # Preemptively drop the rows that are all nas + # Preemptively drop the rows that are all NaNs # Might need to be moved to AnalysisIndicators.__call__() to be # toggleable via kwargs. # df.dropna(axis=0, inplace=True) @@ -163,7 +142,8 @@ class BasePandasObject(PandasObject): raise NotImplementedError() -@pd.api.extensions.register_dataframe_accessor('ta') +# Pandas TA - DataFrame Analysis Indicators +@pd.api.extensions.register_dataframe_accessor("ta") class AnalysisIndicators(BasePandasObject): """AnalysisIndicators is a class that extends the Pandas DataFrame via Pandas @pd.api.extensions.register_dataframe_accessor('name') decorator. @@ -212,7 +192,7 @@ class AnalysisIndicators(BasePandasObject): >>> import ta as ta 2. Load some data: - >>> df = pd.read_csv('AAPL.csv', index_col='date', parse_dates=True) + >>> df = pd.read_csv("AAPL.csv", index_col="date", parse_dates=True) 3. Help! 3a. General Help: @@ -224,30 +204,31 @@ class AnalysisIndicators(BasePandasObject): >>> help(df.ta.apo) 4. Ways of calling an indicator. - 4a. Calling just the MACD indicator without 'ta' DataFrame extension. + 4a. Calling just the MACD indicator without "ta" DataFrame extension. >>> ta.apo(df["close"]) - 4b. Calling just the MACD indicator with 'ta' DataFrame extension. + 4b. Calling just the MACD indicator with "ta" DataFrame extension. >>> df.ta.apo() 4c. Calling using kind. - >>> df.ta(kind='apo') + >>> df.ta(kind="apo") 5. Working with kwargs 5a. Append the result to the working df. >>> df.ta.apo(append=True) 5b. Timing an indicator. - >>> apo = df.ta(kind='apo', timed=True) + >>> apo = df.ta(kind="apo", timed=True) >>> print(apo.timed) """ _adjusted = None _cores = cpu_count() _mp = False + # DataFrame Behavioral Methods def __call__( self, - kind: str= None, + kind: str = None, alias: str = None, - timed = False, - verbose = False, + timed: bool = False, + verbose: bool = False, **kwargs ): try: @@ -274,6 +255,7 @@ class AnalysisIndicators(BasePandasObject): except: pass + # Public Get/Set DataFrame Properties @property def adjusted(self) -> str: """property: df.ta.adjusted""" @@ -314,10 +296,19 @@ class AnalysisIndicators(BasePandasObject): else: self._mp = False + # Public Get DataFrame Properties + @property + def categories(self) -> str: + """Returns the categories.""" + return list(Category.keys()) + @property def datetime_ordered(self) -> bool: """Returns True if the index is a datetime and ordered.""" - return is_datetime_ordered(self._df) + hasdf = hasattr(self, "_df") + if hasdf: + return is_datetime_ordered(self._df) + return hasdf @property def reverse(self) -> pd.DataFrame: @@ -329,32 +320,9 @@ class AnalysisIndicators(BasePandasObject): """Returns the version.""" return version - def _indicators_by_category(self, name: str) -> list: - """Returns indicators by Categorical name.""" - return Category[name] if name in self.categories else None - - @property - def categories(self) -> str: - """Returns the categories.""" - return list(Category.keys()) - def _append(self, result=None, **kwargs): - """Appends a Pandas Series or DataFrame columns to self._df.""" - if "append" in kwargs and kwargs["append"]: - df = self._df - na_columns = self._check_na_columns() - if df is None or result is None: return - elif len(na_columns): - print(f"[X] {result.name} column(s) values are all na: {', '.join(na_columns)}") - return - else: - if isinstance(result, pd.DataFrame): - for i, column in enumerate(result.columns): - df[column] = result.iloc[:,i] - else: - df[result.name] = result - + # Private DataFrame Methods def _add_prefix_suffix(self, result=None, **kwargs): """Add prefix and/or suffix to the result columns""" if result is None: return @@ -371,22 +339,49 @@ class AnalysisIndicators(BasePandasObject): result.columns = [prefix + column + suffix for column in result.columns] - def _get_column(self, series, default): + def _append(self, result=None, **kwargs): + """Appends a Pandas Series or DataFrame columns to self._df.""" + if "append" in kwargs and kwargs["append"]: + df = self._df + na_columns = self._check_na_columns() + if df is None or result is None: return + elif len(na_columns): + print(f"[X] {result.name} column(s) values are all na: {', '.join(na_columns)}") + return + else: + if isinstance(result, pd.DataFrame): + # If specified in kwargs, rename the columns. If not, use the default names. + if "col_names" in kwargs and isinstance(kwargs["col_names"], tuple): + if len(kwargs["col_names"])>=len(result.columns): + for col, ind_name in zip(result.columns, kwargs["col_names"]): + df[ind_name] = result.loc[:,col] + else: + print(f"Not enough col_names were specified : got {len(kwargs['col_names'])}, expected {len(result.columns)}.") + return + else: + for i, column in enumerate(result.columns): + df[column] = result.iloc[:,i] + else: + ind_name = kwargs["col_names"][0] if "col_names" in kwargs and isinstance(kwargs["col_names"], tuple) else result.name + df[ind_name] = result + + + def _check_na_columns(self, stdout: bool = True): + """Returns the columns in which all it's values are na.""" + return [x for x in self._df.columns if all(self._df[x].isna())] + + + def _get_column(self, series): """Attempts to get the correct series or 'column' and return it.""" df = self._df if df is None: return - # def _get_case(column: str): - # cases = [column.lower(), column.upper(), column.title()] - # return [c for i, c in enumerate(cases) if column == cases[i]].pop() - # default = _get_case(default) - # Explicitly passing a pd.Series to override default. if isinstance(series, pd.Series): return series # Apply default if no series nor a default. - elif series is None or default is None: - return df[self.adjusted] if self.adjusted is not None else df[default] + elif series is None: + return df[self.adjusted] if self.adjusted is not None else None # Ok. So it's a str. elif isinstance(series, str): # Return the df column since it's in there. @@ -402,11 +397,65 @@ class AnalysisIndicators(BasePandasObject): return df.iloc[:,match[0]] if len(match) else print(NOT_FOUND) - def _check_na_columns(self, stdout: bool = True): - """Returns the columns in which all it's values are na.""" - return [x for x in self._df.columns if all(self._df[x].isna())] + def _indicators_by_category(self, name: str) -> list: + """Returns indicators by Categorical name.""" + return Category[name] if name in self.categories else None + def _mp_worker(self, arguments): + """Multiprocessing Worker to handle different Methods.""" + method, args, kwargs = arguments + + if method != "ichimoku": + return getattr(self, method)(*args, **kwargs) + else: + return getattr(self, method)(*args, **kwargs)[0] + + + def _post_process(self, result, **kwargs) -> (pd.Series, pd.DataFrame): + """Applies any additional modifications to the DataFrame + * Applies prefixes and/or suffixes + * Appends the result to main DataFrame + """ + if not isinstance(result, (pd.Series, pd.DataFrame)): + print(f"[X] Oops! The result was not a Series or DataFrame.") + return self._df + else: + # Append only specific columns to the dataframe (via 'col_numbers':(0,1,3) for example) + result = result.iloc[:,[int(n) for n in kwargs['col_numbers']]] if isinstance(result, pd.DataFrame) and 'col_numbers' in kwargs and kwargs['col_numbers'] is not None else result + # Add prefix/suffix and append to the dataframe + self._add_prefix_suffix(result=result, **kwargs) + self._append(result=result, **kwargs) + return result + + + def _strategy_mode(self, *args) -> tuple: + """Helper method to determine the mode and name of the strategy. Returns tuple: (name:str, mode:dict)""" + name = "All" + mode = {"all": False, "category": False, "custom": False} + + if len(args) == 0: + mode["all"] = True + else: + if isinstance(args[0], str): + if args[0].lower() == "all": + name, mode["all"] = name, True + if args[0].lower() in self.categories: + name, mode["category"] = args[0], True + + if isinstance(args[0], Strategy): + strategy_ = args[0] + if strategy_.ta is None or strategy_.name.lower() == "all": + name, mode["all"] = name, True + elif strategy_.name.lower() in self.categories: + name, mode["category"] = strategy_.name, True + else: + name, mode["custom"] = strategy_.name, True + + return name, mode + + + # Public DataFrame Methods def constants(self, append: bool, values: list): """Constants @@ -432,7 +481,7 @@ class AnalysisIndicators(BasePandasObject): the working DataFrame. Default: None. Returns: - Returns the appended constants + Returns the appended constants Returns nothing to the user. Either adds or removes constant ranges from the working DataFrame. """ @@ -448,7 +497,7 @@ class AnalysisIndicators(BasePandasObject): def indicators(self, **kwargs): """List of Indicators - + Args: kwargs: as_list (bool, optional): Default: False. When True, it @@ -490,30 +539,6 @@ class AnalysisIndicators(BasePandasObject): else: print(s) - def _strategy_mode(self, *args) -> tuple: - """Helper method to determine the mode and name of the strategy. Returns tuple: (name:str, mode:dict)""" - name = "All" - mode = {"all": False, "category": False, "custom": False} - - if len(args) == 0: - mode["all"] = True - else: - if isinstance(args[0], str): - if args[0].lower() == "all": - name, mode["all"] = name, True - if args[0].lower() in self.categories: - name, mode["category"] = args[0], True - - if isinstance(args[0], Strategy): - strategy_ = args[0] - if strategy_.ta is None or strategy_.name.lower() == "all": - name, mode["all"] = name, True - elif strategy_.name.lower() in self.categories: - name, mode["category"] = strategy_.name, True - else: - name, mode["custom"] = strategy_.name, True - - return name, mode def strategy(self, *args, **kwargs): """Strategy Method @@ -523,12 +548,12 @@ class AnalysisIndicators(BasePandasObject): a json config file. Args: - name (str, optional): Default: 'all' + name (str, optional): Default: "all" exclude (list, optional): Default: []. List of indicator names to exclude. kwargs: (optional) Default: {}. Any indicator argument you want to modify. - For example, length=20 or offset=-1 or high=df['High'] ... + For example, length=20 or offset=-1 or high=df["high"] ... """ cpus = cpu_count() kwargs["append"] = True # Ensure indicators are appended to the DataFrame @@ -563,1065 +588,903 @@ class AnalysisIndicators(BasePandasObject): excluded_str = ", ".join(excluded) print(f"[i] Excluded[{len(excluded)}]: {excluded_str}") - # Run Custom Indicators while preserving order (important for chaining) timed = kwargs.pop("timed", False) + results = [] + pool = Pool(self.cores) + if timed: stime = perf_counter() if mode["custom"]: - if timed: stime = perf_counter() - if "params" in kwds and kwds["params"] and isinstance(kwds["params"], tuple): - [getattr(self, kwds["kind"])(*kwds["params"], **kwds) for kwds in ta] + has_col_names = True if len([True for x in ta if 'col_names' in x and isinstance(x['col_names'], tuple)]) else False + custom_ta = [(ind["kind"], ind["params"] if "params" in ind and isinstance(ind["params"], tuple) else (), {**ind, **kwargs}) for ind in ta] + + if has_col_names: + if verbose: print(f"[i] No mulitproccessing support for 'col_names' option.") + # Without multiprocessing: + for ind in ta: + params = ind["params"] if "params" in ind and isinstance(ind["params"], tuple) else tuple() + getattr(self, ind["kind"])(*params, **{**ind, **kwargs}) else: - [getattr(self, kwds["kind"])(**kwds) for kwds in ta] + if verbose: + print(f"[i] Multiprocessing: {self.cores} of {cpu_count()} cores.") + + # Custom multiprocessing pool. Must be ordered for Chained Strategies + # May fix this to cpus if Chaining/Composition if it remains inconsistent + results = pool.imap(self._mp_worker, custom_ta, self.cores) + else: - # Run ALL or Categorical with multiprocessing if verbose: print(f"[i] Multiprocessing: {self.cores} of {cpu_count()} cores.") - pool = Pool(self.cores) + default_ta = [(ind, tuple(), kwargs) for ind in ta] + # All and Categorical multiprocessing pool. Speed over Order. + results = pool.imap_unordered(self._mp_worker, default_ta, self.cores) + pool.close() + pool.join() - # Run an Unordered Mapped Pool. - if timed: stime = perf_counter() - - result = pool.imap_unordered( - mp_worker, ((self._df, ind, kwargs) for ind in ta), self.cores - ) - pool.close() - pool.join() - - # Apply prefixes/suffixes and appends indicator results to the DataFrame - for r in result: - self._add_prefix_suffix(r, **kwargs) - self._append(r, **kwargs) + # Apply prefixes/suffixes and appends indicator results to the DataFrame + [self._post_process(r, **kwargs) for r in results] if timed: ftime = final_time(stime) if verbose: print(f"[i] Total indicators: {len(ta)}") print(f"[i] Columns added: {len(self._df.columns) - initial_column_count}") - print(f"[i] Runtime: {ftime}") if timed else None + if timed: print(f"[i] Runtime: {ftime}") + + # Public DataFrame Methods: Indicators and Utilities # Candles - @finalize - def cdl_doji(self, open_=None, high=None, low=None, close=None, offset=None, **kwargs): - open_ = self._get_column(open_, "open") - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def cdl_doji(self, offset=None, **kwargs): + open_ = self._get_column(kwargs.pop("open", "open")) + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = cdl_doji(open_=open_, high=high, low=low, close=close, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def cdl_inside(self, open_=None, high=None, low=None, close=None, offset=None, **kwargs): - open_ = self._get_column(open_, "open") - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def cdl_inside(self, offset=None, **kwargs): + open_ = self._get_column(kwargs.pop("open", "open")) + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = cdl_inside(open_=open_, high=high, low=low, close=close, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def ha(self, open_=None, high=None, low=None, close=None, offset=None, **kwargs): - open_ = self._get_column(open_, "open") - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def ha(self, offset=None, **kwargs): + open_ = self._get_column(kwargs.pop("open", "open")) + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = ha(open_=open_, high=high, low=low, close=close, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) + + + + # Momentum + def ao(self, fast=None, slow=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) - # Momentum Indicators - @finalize - def ao(self, high=None, low=None, fast=None, slow=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") result = ao(high=high, low=low, fast=fast, slow=slow, offset=offset, **kwargs) - return result - - @finalize - def apo(self, close=None, fast=None, slow=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def apo(self, fast=None, slow=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = apo(close=close, fast=fast, slow=slow, offset=offset, **kwargs) - return result - - @finalize - def bias(self, close=None, length=None, mamode=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def bias(self, length=None, mamode=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = bias(close=close, length=length, mamode=mamode, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def bop(self, open_=None, high=None, low=None, close=None, scalar=None, offset=None, **kwargs): - open_ = self._get_column(open_, "open") - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def bop(self, percentage=False, offset=None, **kwargs): + open_ = self._get_column(kwargs.pop("open", "open")) + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) - result = bop(open_=open_, high=high, low=low, close=close, scalar=scalar, offset=offset, **kwargs) - return result + result = bop(open_=open_ , high=high, low=low, close=close, percentage=percentage, offset=offset, **kwargs) + return self._post_process(result, **kwargs) - @finalize - def brar(self, open_=None, high=None, low=None, close=None, length=None, scalar=None, drift=None, offset=None, **kwargs): - open_ = self._get_column(open_, "open") - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def brar(self, length=None, scalar=None, drift=None, offset=None, **kwargs): + open_ = self._get_column(kwargs.pop("open", "open")) + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) - result = brar(open_=open_, high=high, low=low, close=close, length=length, scalar=scalar, drift=drift, offset=offset, **kwargs) - return result + result = brar(open_=open_ , high=high, low=low, close=close, length=length, scalar=scalar, drift=drift, offset=offset, **kwargs) + return self._post_process(result, **kwargs) - @finalize - def cci(self, high=None, low=None, close=None, length=None, c=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def cci(self, length=None, c=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = cci(high=high, low=low, close=close, length=length, c=c, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def cg(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + def cfo(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) + result = cfo(close=close, length=length, offset=offset, **kwargs) + return self._post_process(result, **kwargs) + def cg(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = cg(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def cmo(self, close=None, length=None, scalar=None, drift=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def cmo(self, length=None, scalar=None, drift=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = cmo(close=close, length=length, scalar=scalar, drift=drift, offset=offset, **kwargs) - return result - - @finalize - def coppock(self, close=None, length=None, fast=None, slow=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def coppock(self, length=None, fast=None, slow=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = coppock(close=close, length=length, fast=fast, slow=slow, offset=offset, **kwargs) - return result - - @finalize - def er(self, close=None, length=None, drift=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def er(self, length=None, drift=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = er(close=close, length=length, drift=drift, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def eri(self, high=None, low=None, close=None, length=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def eri(self, length=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = eri(high=high, low=low, close=close, length=length, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def fisher(self, high=None, low=None, length=None, signal=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") + def fisher(self, length=None, signal=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) result = fisher(high=high, low=low, length=length, signal=signal, offset=offset, **kwargs) - return result - - @finalize - def inertia(self, close=None, high=None, low=None, length=None, rvi_length=None, scalar=None, refined=None, thirds=None, mamode=None, drift=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def inertia(self, length=None, rvi_length=None, scalar=None, refined=None, thirds=None, mamode=None, drift=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) if refined is not None or thirds is not None: - high = self._get_column(high, "high") - low = self._get_column(low, "low") - + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) result = inertia(close=close, high=high, low=low, length=length, rvi_length=rvi_length, scalar=scalar, refined=refined, thirds=thirds, mamode=mamode, drift=drift, offset=offset, **kwargs) else: result = inertia(close=close, length=length, rvi_length=rvi_length, scalar=scalar, refined=refined, thirds=thirds, mamode=mamode, drift=drift, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def kdj(self, high=None, low=None, close=None, length=None, signal=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def kdj(self, length=None, signal=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = kdj(high=high, low=low, close=close, length=length, signal=signal, offset=offset, **kwargs) - return result - - @finalize - def kst(self, close=None, roc1=None, roc2=None, roc3=None, roc4=None, sma1=None, sma2=None, sma3=None, sma4=None, signal=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def kst(self, roc1=None, roc2=None, roc3=None, roc4=None, sma1=None, sma2=None, sma3=None, sma4=None, signal=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = kst(close=close, roc1=roc1, roc2=roc2, roc3=roc3, roc4=roc4, sma1=sma1, sma2=sma2, sma3=sma3, sma4=sma4, signal=signal, offset=offset, **kwargs) - return result - - @finalize - def macd(self, close=None, fast=None, slow=None, signal=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def macd(self, fast=None, slow=None, signal=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = macd(close=close, fast=fast, slow=slow, signal=signal, offset=offset, **kwargs) - return result - - @finalize - def mom(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def mom(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = mom(close=close, length=length, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def pgo(self, high=None, low=None, close=None, length=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def pgo(self, length=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = pgo(high=high, low=low, close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def ppo(self, close=None, fast=None, slow=None, scalar=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def ppo(self, fast=None, slow=None, scalar=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = ppo(close=close, fast=fast, slow=slow, scalar=scalar, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def psl(self, close=None, open_=None, length=None, scalar=None, drift=None, offset=None, **kwargs): + def psl(self, open_=None, length=None, scalar=None, drift=None, offset=None, **kwargs): if open_ is not None: - open_ = self._get_column(open_, "open") - close = self._get_column(close, "close") + open_ = self._get_column(kwargs.pop("open", "open")) + close = self._get_column(kwargs.pop("close", "close")) result = psl(close=close, open_=open_, length=length, scalar=scalar, drift=drift, offset=offset, **kwargs) - return result - - @finalize - def pvo(self, volume=None, fast=None, slow=None, signal=None, scalar=None, offset=None, **kwargs): - volume = self._get_column(volume, 'volume') + return self._post_process(result, **kwargs) + def pvo(self, fast=None, slow=None, signal=None, scalar=None, offset=None, **kwargs): + volume = self._get_column(kwargs.pop("volume", "volume")) result = pvo(volume=volume, fast=fast, slow=slow, signal=signal, scalar=scalar, offset=offset, **kwargs) - return result - - @finalize - def roc(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def roc(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = roc(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def rsi(self, close=None, length=None, scalar=None, drift=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def rsi(self, length=None, scalar=None, drift=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = rsi(close=close, length=length, scalar=scalar, drift=drift, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def rvgi(self, open_=None, high=None, low=None, close=None, length=None, swma_length=None, offset=None, **kwargs): - open_ = self._get_column(open_, "open") - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def rvgi(self, length=None, swma_length=None, offset=None, **kwargs): + open_ = self._get_column(kwargs.pop("open", "open")) + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = rvgi(open_=open_, high=high, low=low, close=close, length=length, swma_length=swma_length, offset=offset, **kwargs) - return result - - @finalize - def slope(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def slope(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = slope(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def smi(self, close=None, fast=None, slow=None, signal=None, scalar=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def smi(self, fast=None, slow=None, signal=None, scalar=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = smi(close=close, fast=fast, slow=slow, signal=signal, scalar=scalar, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def squeeze(self, high=None, low=None, close=None, bb_length=None, bb_std=None, kc_length=None, kc_scalar=None, mom_length=None, mom_smooth=None, use_tr=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def squeeze(self, bb_length=None, bb_std=None, kc_length=None, kc_scalar=None, mom_length=None, mom_smooth=None, use_tr=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = squeeze(high=high, low=low, close=close, bb_length=bb_length, bb_std=bb_std, kc_length=kc_length, kc_scalar=kc_scalar, mom_length=mom_length, mom_smooth=mom_smooth, use_tr=use_tr, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def stoch(self, high=None, low=None, close=None, fast_k=None, slow_k=None, slow_d=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def stoch(self, fast_k=None, slow_k=None, slow_d=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = stoch(high=high, low=low, close=close, fast_k=fast_k, slow_k=slow_k, slow_d=slow_d, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def stochrsi(self, close=None, length=None, rsi_length=None, k=None, d=None, offset=None, **kwargs): - close = self._get_column(close, "close") + def stochrsi(self, length=None, rsi_length=None, k=None, d=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) - result = stochrsi(close=close, length=length, rsi_length=rsi_length, k=k, d=d, offset=offset, **kwargs) - return result - - @finalize - def trix(self, close=None, length=None, signal=None, scalar=None, drift=None, offset=None, **kwargs): - close = self._get_column(close, "close") + result = stochrsi(high=high, low=low, close=close, length=length, rsi_length=rsi_length, k=k, d=d, offset=offset, **kwargs) + return self._post_process(result, **kwargs) + def trix(self, length=None, signal=None, scalar=None, drift=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = trix(close=close, length=length, signal=signal, scalar=scalar, drift=drift, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def tsi(self, close=None, fast=None, slow=None, scalar=None, drift=None, offset=None, **kwargs): - close = self._get_column(close, "close") + def tsi(self, fast=None, slow=None, drift=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) + result = tsi(close=close, fast=fast, slow=slow, drift=drift, offset=offset, **kwargs) + return self._post_process(result, **kwargs) - result = tsi(close=close, fast=fast, slow=slow, scalar=scalar, drift=drift, offset=offset, **kwargs) - return result - - @finalize - def uo(self, high=None, low=None, close=None, fast=None, medium=None, slow=None, fast_w=None, medium_w=None, slow_w=None, drift=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def uo(self, fast=None, medium=None, slow=None, fast_w=None, medium_w=None, slow_w=None, drift=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = uo(high=high, low=low, close=close, fast=fast, medium=medium, slow=slow, fast_w=fast_w, medium_w=medium_w, slow_w=slow_w, drift=drift, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def willr(self, high=None, low=None, close=None, length=None, percentage=True, offset=None,**kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def willr(self, length=None, percentage=True, offset=None,**kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = willr(high=high, low=low, close=close, length=length, percentage=percentage, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - # Overlap Indicators - @finalize - def dema(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + # Overlap + def dema(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = dema(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def ema(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def ema(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = ema(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def fwma(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def fwma(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = fwma(close=close, length=length, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def hilo(self, high=None, low=None, close=None, high_length=None, low_length=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def hilo(self, high_length=None, low_length=None, mamode=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) - result = hilo(high=high, low=low, close=close, high_length=high_length, low_length=low_length, offset=offset, **kwargs) - return result + result = hilo(high=high, low=low, close=close, high_length=high_length, low_length=low_length, mamode=mamode, offset=offset, **kwargs) + return self._post_process(result, **kwargs) - @finalize - def hl2(self, high=None, low=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") + def hl2(self, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) result = hl2(high=high, low=low, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def hlc3(self, high=None, low=None, close=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def hlc3(self, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = hlc3(high=high, low=low, close=close, offset=offset, **kwargs) - return result - - @finalize - def hma(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def hma(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = hma(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def kama(self, close=None, length=None, fast=None, slow=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def kama(self, length=None, fast=None, slow=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = kama(close=close, length=length, fast=fast, slow=slow, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - # @finalize - def ichimoku(self, high=None, low=None, close=None, tenkan=None, kijun=None, senkou=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def ichimoku(self, tenkan=None, kijun=None, senkou=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result, span = ichimoku(high=high, low=low, close=close, tenkan=tenkan, kijun=kijun, senkou=senkou, offset=offset, **kwargs) self._add_prefix_suffix(result, **kwargs) self._add_prefix_suffix(span, **kwargs) self._append(result, **kwargs) + # return self._post_process(result, **kwargs), span return result, span - @finalize - def linreg(self, close=None, length=None, offset=None, adjust=None, **kwargs): - close = self._get_column(close, "close") - + def linreg(self, length=None, offset=None, adjust=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = linreg(close=close, length=length, offset=offset, adjust=adjust, **kwargs) - return result - - @finalize - def midpoint(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def midpoint(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = midpoint(close=close, length=length, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def midprice(self, high=None, low=None, length=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") + def midprice(self, length=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) result = midprice(high=high, low=low, length=length, offset=offset, **kwargs) - return result - - @finalize - def ohlc4(self, open_=None, high=None, low=None, close=None, offset=None, **kwargs): - open_ = self._get_column(open_, "open") - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def ohlc4(self, offset=None, **kwargs): + open_ = self._get_column(kwargs.pop("open", "open")) + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = ohlc4(open_=open_, high=high, low=low, close=close, offset=offset, **kwargs) - return result - - @finalize - def pwma(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def pwma(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = pwma(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def rma(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def rma(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = rma(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def sinwma(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def sinwma(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = sinwma(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def sma(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def sma(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = sma(close=close, length=length, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def supertrend(self, high=None, low=None, close=None, length=None, multiplier=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def supertrend(self, length=None, multiplier=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = supertrend(high=high, low=low, close=close, length=length, multiplier=multiplier, offset=offset, **kwargs) - return result - - @finalize - def swma(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def swma(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = swma(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def t3(self, close=None, length=None, a=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def t3(self, length=None, a=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = t3(close=close, length=length, a=a, offset=offset, **kwargs) - return result - - @finalize - def tema(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def tema(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = tema(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def trima(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def trima(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = trima(close=close, length=length, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def vwap(self, high=None, low=None, close=None, volume=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + def vwap(self, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) - # Ensure volume has a datetime ordered index if not self.datetime_ordered: volume.index = self._df.index result = vwap(high=high, low=low, close=close, volume=volume, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def vwma(self, close=None, volume=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + def vwma(self, volume=None, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = vwma(close=close, volume=close, length=length, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def wcp(self, high=None, low=None, close=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def wcp(self, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = wcp(high=high, low=low, close=close, offset=offset, **kwargs) - return result - - @finalize - def wma(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def wma(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = wma(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def zlma(self, close=None, length=None, mamode=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def zlma(self, length=None, mamode=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = zlma(close=close, length=length, mamode=mamode, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - # Performance Indicators - @finalize - def log_return(self, close=None, length=None, cumulative=False, percent=False, offset=None, **kwargs): - close = self._get_column(close, "close") + # Performance + def log_return(self, length=None, cumulative=False, percent=False, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = log_return(close=close, length=length, cumulative=cumulative, percent=percent, offset=offset, **kwargs) - return result - - @finalize - def percent_return(self, close=None, length=None, cumulative=False, percent=False, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def percent_return(self, length=None, cumulative=False, percent=False, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = percent_return(close=close, length=length, cumulative=cumulative, percent=percent, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - def trend_return(self, close=None, trend=None, log=True, cumulative=None, offset=None, trend_reset=None, **kwargs): + def trend_return(self, trend=None, log=True, cumulative=None, offset=None, trend_reset=None, **kwargs): if trend is None: return self._df else: - close = self._get_column(close, "close") - trend = self._get_column(trend, f"{trend}") - + close = self._get_column(kwargs.pop("close", "close")) result = trend_return(close=close, trend=trend, log=log, cumulative=cumulative, offset=offset, trend_reset=trend_reset, **kwargs) - self._add_prefix_suffix(result, **kwargs) - self._append(result, **kwargs) - return result + return self._post_process(result, **kwargs) - # Statistics Indicators - @finalize - def entropy(self, close=None, length=None, base=None, offset=None, **kwargs): - close = self._get_column(close, "close") + # Statistics + def entropy(self, length=None, base=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = entropy(close=close, length=length, base=base, offset=offset, **kwargs) - return result - - @finalize - def kurtosis(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def kurtosis(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = kurtosis(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def mad(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def mad(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = mad(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def median(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def median(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = median(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def quantile(self, close=None, length=None, q=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def quantile(self, length=None, q=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = quantile(close=close, length=length, q=q, offset=offset, **kwargs) - return result - - @finalize - def skew(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def skew(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = skew(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def stdev(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def stdev(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = stdev(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def variance(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def variance(self, length=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = variance(close=close, length=length, offset=offset, **kwargs) - return result - - @finalize - def zscore(self, close=None, length=None, std=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def zscore(self, length=None, std=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = zscore(close=close, length=length, std=std, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - # Trend Indicators - @finalize - def adx(self, high=None, low=None, close=None, length=None, scalar=None, drift=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + # Trend + def adx(self, length=None, scalar=None, drift=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = adx(high=high, low=low, close=close, length=length, scalar=scalar, drift=drift, offset=offset, **kwargs) - return result - - @finalize - def amat(self, close=None, fast=None, slow=None, mamode=None, lookback=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def amat(self, fast=None, slow=None, mamode=None, lookback=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = amat(close=close, fast=fast, slow=slow, mamode=mamode, lookback=lookback, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def aroon(self, high=None, low=None, length=None, scalar=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") + def aroon(self, length=None, scalar=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) result = aroon(high=high, low=low, length=length, scalar=scalar, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def chop(self, high=None, low=None, close=None, length=None, atr_length=None, scalar=None, drift=None, offset=None, **kwargs): - high = self._get_column(close, "high") - low = self._get_column(close, "low") - close = self._get_column(close, "close") + def chop(self, length=None, atr_length=None, scalar=None, drift=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = chop(high=high, low=low, close=close, length=length, atr_length=atr_length, scalar=scalar, drift=drift, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def cksp(self, high=None, low=None, close=None, p=None, x=None, q=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def cksp(self, p=None, x=None, q=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = cksp(high=high, low=low, close=close, p=p, x=x, q=q, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def decreasing(self, close=None, length=None, asint=True, offset=None, **kwargs): - close = self._get_column(close, "close") + def decay(self, length=None, mode=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) + result = decay(close=close, length=length, mode=mode, offset=offset, **kwargs) + return self._post_process(result, **kwargs) + def decreasing(self, length=None, asint=True, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = decreasing(close=close, length=length, asint=asint, offset=offset, **kwargs) - return result - - @finalize - def dpo(self, close=None, length=None, centered=True, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def dpo(self, length=None, centered=True, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = dpo(close=close, length=length, centered=centered, offset=offset, **kwargs) - return result - - @finalize - def increasing(self, close=None, length=None, asint=True, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def increasing(self, length=None, asint=True, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = increasing(close=close, length=length, asint=asint, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def linear_decay(self, close=None, length=None, offset=None, **kwargs): - close = self._get_column(close, "close") - - result = linear_decay(close=close, length=length, offset=offset, **kwargs) - return result - - # @finalize def long_run(self, fast=None, slow=None, length=None, offset=None, **kwargs): if fast is None and slow is None: return self._df else: - fast = self._get_column(fast, f"{fast}") - slow = self._get_column(slow, f"{slow}") - result = long_run(fast=fast, slow=slow, length=length, offset=offset, **kwargs) - self._add_prefix_suffix(result, **kwargs) - self._append(result, **kwargs) - return result - - @finalize - def psar(self, high=None, low=None, close=None, af=None, max_af=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - if close is not None: - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def psar(self, af=None, max_af=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", None)) result = psar(high=high, low=low, close=close, af=af, max_af=max_af, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def qstick(self, open_=None, close=None, length=None, offset=None, **kwargs): - open_ = self._get_column(open_, "open") - close = self._get_column(close, "close") + def qstick(self, length=None, offset=None, **kwargs): + open_ = self._get_column(kwargs.pop("open", "open")) + close = self._get_column(kwargs.pop("close", "close")) result = qstick(open_=open_, close=close, length=length, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - # @finalize def short_run(self, fast=None, slow=None, length=None, offset=None, **kwargs): if fast is None and slow is None: return self._df else: - fast = self._get_column(fast, f"{fast}") - slow = self._get_column(slow, f"{slow}") - result = short_run(fast=fast, slow=slow, length=length, offset=offset, **kwargs) - self._add_prefix_suffix(result, **kwargs) - self._append(result, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def ttm_trend(self, high=None, low=None, close=None, offset=None, length=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def supertrend(self, period=None, multiplier=None, mamode=None, drift=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) + + result = supertrend(high=high, low=low, close=close, period=period, multiplier=multiplier, mamode=mamode, drift=drift, offset=offset, **kwargs) + return self._post_process(result, **kwargs) + + def ttm_trend(self, length=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = ttm_trend(high=high, low=low, close=close, length=length, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def vortex(self, high=None, low=None, close=None, drift=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def vortex(self, drift=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = vortex(high=high, low=low, close=close, drift=drift, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - # Utility Indicators - def above(self, a=None, b=None, asint=True, offset=None, **kwargs): - if a is None and b is None: return self._df - else: - a = self._get_column(a, f"{a}") - b = self._get_column(b, f"{b}") - result = above(series_a=a, series_b=b, asint=asint, offset=offset, **kwargs) - self._add_prefix_suffix(result, **kwargs) - self._append(result, **kwargs) - return result + # Utility + def above(self, asint=True, offset=None, **kwargs): + a = self._get_column(kwargs.pop("close", "a")) + b = self._get_column(kwargs.pop("close", "b")) + result = above(series_a=a, series_b=b, asint=asint, offset=offset, **kwargs) - def above_value(self, a=None, value=None, asint=True, offset=None, **kwargs): - if a is None and value is None: return self._df - else: - a = self._get_column(a, f"{a}") - result = above_value(series_a=a, value=value, asint=asint, offset=offset, **kwargs) - self._add_prefix_suffix(result, **kwargs) - self._append(result, **kwargs) - return result + # self._add_prefix_suffix(result, **kwargs) + # self._append(result, **kwargs) + return self._post_process(result, **kwargs) - def below(self, a=None, b=None, asint=True, offset=None, **kwargs): - if a is None and b is None: return self._df - else: - a = self._get_column(a, f"{a}") - b = self._get_column(b, f"{b}") - result = below(series_a=a, series_b=b, asint=asint, offset=offset, **kwargs) - self._add_prefix_suffix(result, **kwargs) - self._append(result, **kwargs) - return result + def above_value(self, value=None, asint=True, offset=None, **kwargs): + a = self._get_column(kwargs.pop("close", "a")) + result = above_value(series_a=a, value=value, asint=asint, offset=offset, **kwargs) - def below_value(self, a=None, value=None, asint=True, offset=None, **kwargs): - if a is None and value is None: return self._df - else: - a = self._get_column(a, f"{a}") - result = below_value(series_a=a, value=value, asint=asint, offset=offset, **kwargs) - self._add_prefix_suffix(result, **kwargs) - self._append(result, **kwargs) - return result + # self._add_prefix_suffix(result, **kwargs) + # self._append(result, **kwargs) + return self._post_process(result, **kwargs) - def cross(self, a=None, b=None, above=True, asint=True, offset=None, **kwargs): - if a is None and b is None: return self._df - else: - a = self._get_column(a, f"{a}") - b = self._get_column(b, f"{b}") - result = cross(series_a=a, series_b=b, above=above, asint=asint, offset=offset, **kwargs) - self._add_prefix_suffix(result, **kwargs) - self._append(result, **kwargs) - return result + def below(self, asint=True, offset=None, **kwargs): + a = self._get_column(kwargs.pop("close", "a")) + b = self._get_column(kwargs.pop("close", "b")) + result = below(series_a=a, series_b=b, asint=asint, offset=offset, **kwargs) + # self._add_prefix_suffix(result, **kwargs) + # self._append(result, **kwargs) + return self._post_process(result, **kwargs) - def cross_value(self, a=None, value=None, above=True, asint=True, offset=None, **kwargs): - if a is None and value is None: return self._df - else: - a = self._get_column(a, f"{a}") - result = cross_value(series_a=a, value=value, above=above, asint=asint, offset=offset, **kwargs) - self._add_prefix_suffix(result, **kwargs) - self._append(result, **kwargs) - return result + def below_value(self, value=None, asint=True, offset=None, **kwargs): + a = self._get_column(kwargs.pop("close", "a")) + result = below_value(series_a=a, value=value, asint=asint, offset=offset, **kwargs) + + # self._add_prefix_suffix(result, **kwargs) + # self._append(result, **kwargs) + return self._post_process(result, **kwargs) + + def cross(self, above=True, asint=True, offset=None, **kwargs): + a = self._get_column(kwargs.pop("close", "a")) + b = self._get_column(kwargs.pop("close", "b")) + result = cross(series_a=a, series_b=b, above=above, asint=asint, offset=offset, **kwargs) + # self._add_prefix_suffix(result, **kwargs) + # self._append(result, **kwargs) + return self._post_process(result, **kwargs) + + def cross_value(self, value=None, above=True, asint=True, offset=None, **kwargs): + a = self._get_column(a, f"{a}") + result = cross_value(series_a=a, value=value, above=above, asint=asint, offset=offset, **kwargs) + + # self._add_prefix_suffix(result, **kwargs) + # self._append(result, **kwargs) + return self._post_process(result, **kwargs) - # Volatility Indicators - @finalize - def aberration(self, high=None, low=None, close=None, length=None, atr_length=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + + # Volatility + def aberration(self, length=None, atr_length=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = aberration(high=high, low=low, close=close, length=length, atr_length=atr_length, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def accbands(self, high=None, low=None, close=None, length=None, c=None, mamode=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def accbands(self, length=None, c=None, mamode=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = accbands(high=high, low=low, close=close, length=length, c=c, mamode=mamode, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def atr(self, high=None, low=None, close=None, length=None, mamode=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def atr(self, length=None, mamode=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = atr(high=high, low=low, close=close, length=length, mamode=mamode, offset=offset, **kwargs) - return result - - @finalize - def bbands(self, close=None, length=None, stdev=None, mamode=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def bbands(self, length=None, stdev=None, mamode=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = bbands(close=close, length=length, stdev=stdev, mamode=mamode, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def donchian(self, high=None, low=None, lower_length=None, upper_length=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") + def donchian(self, lower_length=None, upper_length=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) result = donchian(high=high, low=low, lower_length=lower_length, upper_length=upper_length, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def kc(self, high=None, low=None, close=None, length=None, scalar=None, mamode=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def kc(self, length=None, scalar=None, mamode=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = kc(high=high, low=low, close=close, length=length, scalar=scalar, mamode=mamode, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def massi(self, high=None, low=None, fast=None, slow=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") + def massi(self, fast=None, slow=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) result = massi(high=high, low=low, fast=fast, slow=slow, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def natr(self, high=None, low=None, close=None, length=None, mamode=None, scalar=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def natr(self, length=None, mamode=None, scalar=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = natr(high=high, low=low, close=close, length=length, mamode=mamode, scalar=scalar, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def pdist(self, open_=None, high=None, low=None, close=None, drift=None, offset=None, **kwargs): - open_ = self._get_column(open_, "open") - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def pdist(self, drift=None, offset=None, **kwargs): + open_ = self._get_column(kwargs.pop("open", "open")) + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = pdist(open_=open_, high=high, low=low, close=close, drift=drift, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def rvi(self, close=None, high=None, low=None, length=None, scalar=None, refined=None, thirds=None, mamode=None, drift=None, offset=None, **kwargs): - close = self._get_column(close, "close") - high = self._get_column(high, "high") - low = self._get_column(low, "low") + def rvi(self, length=None, scalar=None, refined=None, thirds=None, mamode=None, drift=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = rvi(high=high, low=low, close=close, length=length, scalar=scalar, refined=refined, thirds=thirds, mamode=mamode, drift=drift, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def true_range(self, high=None, low=None, close=None, drift=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") + def true_range(self, drift=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) result = true_range(high=high, low=low, close=close, drift=drift, offset=offset, **kwargs) - return result - - @finalize - def ui(self, close=None, length=None, scalar=None, offset=None, **kwargs): - close = self._get_column(close, "close") + return self._post_process(result, **kwargs) + def ui(self, length=None, scalar=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) result = ui(close=close, length=length, scalar=scalar, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - # Volume Indicators - @finalize - def ad(self, high=None, low=None, close=None, volume=None, open_=None, signed=True, offset=None, **kwargs): + + # Volume + def ad(self, open_=None, signed=True, offset=None, **kwargs): if open_ is not None: - open_ = self._get_column(open_, "open") - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + open_ = self._get_column(kwargs.pop("open", "open")) + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = ad(high=high, low=low, close=close, volume=volume, open_=open_, signed=signed, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def adosc(self, high=None, low=None, close=None, volume=None, open_=None, fast=None, slow=None, signed=True, offset=None, **kwargs): + def adosc(self, open_=None, fast=None, slow=None, signed=True, offset=None, **kwargs): if open_ is not None: - open_ = self._get_column(open_, "open") - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + open_ = self._get_column(kwargs.pop("open", "open")) + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = adosc(high=high, low=low, close=close, volume=volume, open_=open_, fast=fast, slow=slow, signed=signed, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def aobv(self, close=None, volume=None, fast=None, slow=None, mamode=None, max_lookback=None, min_lookback=None, offset=None, **kwargs): - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + def aobv(self, fast=None, slow=None, mamode=None, max_lookback=None, min_lookback=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = aobv(close=close, volume=volume, fast=fast, slow=slow, mamode=mamode, max_lookback=max_lookback, min_lookback=min_lookback, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def cmf(self, high=None, low=None, close=None, volume=None, open_=None, length=None, offset=None, **kwargs): + def cmf(self, open_=None, length=None, offset=None, **kwargs): if open_ is not None: - open_ = self._get_column(open_, "open") - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + open_ = self._get_column(kwargs.pop("open", "open")) + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = cmf(high=high, low=low, close=close, volume=volume, open_=open_, length=length, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def efi(self, close=None, volume=None, length=None, mamode=None, offset=None, drift=None, **kwargs): - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + def efi(self, length=None, mamode=None, offset=None, drift=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = efi(close=close, volume=volume, length=length, offset=offset, mamode=mamode, drift=drift, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def eom(self, high=None, low=None, close=None, volume=None, length=None, divisor=None, offset=None, drift=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + def eom(self, length=None, divisor=None, offset=None, drift=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = eom(high=high, low=low, close=close, volume=volume, length=length, divisor=divisor, offset=offset, drift=drift, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def mfi(self, high=None, low=None, close=None, volume=None, length=None, drift=None, offset=None, **kwargs): - high = self._get_column(high, "high") - low = self._get_column(low, "low") - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + def mfi(self, length=None, drift=None, offset=None, **kwargs): + high = self._get_column(kwargs.pop("high", "high")) + low = self._get_column(kwargs.pop("low", "low")) + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = mfi(high=high, low=low, close=close, volume=volume, length=length, drift=drift, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def nvi(self, close=None, volume=None, length=None, initial=None, signed=True, offset=None, **kwargs): - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + def nvi(self, length=None, initial=None, signed=True, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = nvi(close=close, volume=volume, length=length, initial=initial, signed=signed, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def obv(self, close=None, volume=None, offset=None, **kwargs): - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + def obv(self, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = obv(close=close, volume=volume, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def pvi(self, close=None, volume=None, length=None, initial=None, signed=True, offset=None, **kwargs): - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + def pvi(self, length=None, initial=None, signed=True, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = pvi(close=close, volume=volume, length=length, initial=initial, signed=signed, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def pvol(self, close=None, volume=None, offset=None, **kwargs): - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + def pvol(self, volume=None, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = pvol(close=close, volume=volume, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def pvt(self, close=None, volume=None, offset=None, **kwargs): - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + def pvt(self, offset=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = pvt(close=close, volume=volume, offset=offset, **kwargs) - return result + return self._post_process(result, **kwargs) - @finalize - def vp(self, close=None, volume=None, width=None, percent=None, **kwargs): - close = self._get_column(close, "close") - volume = self._get_column(volume, 'volume') + def vp(self, width=None, percent=None, **kwargs): + close = self._get_column(kwargs.pop("close", "close")) + volume = self._get_column(kwargs.pop("volume", "volume")) result = vp(close=close, volume=volume, width=width, percent=percent, **kwargs) - return result + return self._post_process(result, **kwargs) diff --git a/pandas_ta/momentum/__init__.py b/pandas_ta/momentum/__init__.py index 8de9f33..6a8520d 100644 --- a/pandas_ta/momentum/__init__.py +++ b/pandas_ta/momentum/__init__.py @@ -7,6 +7,7 @@ from .brar import brar from .cci import cci from .cg import cg from .cmo import cmo +from .cfo import cfo from .coppock import coppock from .er import er from .eri import eri @@ -31,4 +32,4 @@ from .stochrsi import stochrsi from .trix import trix from .tsi import tsi from .uo import uo -from .willr import willr \ No newline at end of file +from .willr import willr diff --git a/pandas_ta/momentum/cfo.py b/pandas_ta/momentum/cfo.py new file mode 100644 index 0000000..8a379f3 --- /dev/null +++ b/pandas_ta/momentum/cfo.py @@ -0,0 +1,63 @@ +# -*- coding: utf-8 -*- +from pandas_ta.overlap import linreg +from pandas_ta.utils import get_drift, get_offset, verify_series + +def cfo(close, length=None, scalar=None, drift=None, offset=None, **kwargs): + """Indicator: Chande Forcast Oscillator (CFO)""" + # Validate Arguments + close = verify_series(close) + length = int(length) if length and length > 0 else 9 + scalar = float(scalar) if scalar else 100 + drift = get_drift(drift) + offset = get_offset(offset) + + #Finding linear regression of Series + cfo = scalar * (close - linreg(close, length=length, tsf=True)) + cfo /= close + + # Offset + if offset != 0: + cfo = cfo.shift(offset) + + # Handle fills + if "fillna" in kwargs: + cfo.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + cfo.fillna(method=kwargs["fill_method"], inplace=True) + + # Name and Categorize it + cfo.name = f"CFO_{length}" + cfo.category = "momentum" + + return cfo + +cfo.__doc__ = \ +"""Chande Forcast Oscillator (CFO) + +The Forecast Oscillator calculates the percentage difference between the actual +price and the Time Series Forecast (the endpoint of a linear regression line). + +Sources: + https://www.fmlabs.com/reference/default.htm?url=ForecastOscillator.htm + +Calculation: + Default Inputs: + length=9, drift=1, scalar=100 + LINREG = Linear Regression + + CFO = scalar * (close - LINERREG(length, tdf=True)) / close + +Args: + close (pd.Series): Series of 'close's + length (int): The period. Default: 9 + scalar (float): How much to magnify. Default: 100 + drift (int): The short period. Default: 1 + offset (int): How many periods to offset the result. Default: 0 + +Kwargs: + fillna (value, optional): pd.DataFrame.fillna(value) + fill_method (value, optional): Type of fill method + +Returns: + pd.Series: New feature generated. +""" diff --git a/pandas_ta/momentum/slope.py b/pandas_ta/momentum/slope.py index c6e2ef5..0206378 100644 --- a/pandas_ta/momentum/slope.py +++ b/pandas_ta/momentum/slope.py @@ -1,14 +1,14 @@ # -*- coding: utf-8 -*- from math import atan, pi -from ..utils import get_offset, verify_series +from pandas_ta.utils import get_offset, verify_series -def slope(close, length=None, as_angle=None, to_degrees=None, offset=None, **kwargs): +def slope(close, length=None, as_angle=None, to_degrees=None, vertical=None, offset=None, **kwargs): """Indicator: Slope""" # Validate arguments close = verify_series(close) length = int(length) if length and length > 0 else 1 - as_angle = True if as_angle and isinstance(as_angle, bool) else False - to_degrees = True if to_degrees and isinstance(to_degrees, bool) else False + as_angle = True if isinstance(as_angle, bool) else False + to_degrees = True if isinstance(to_degrees, bool) else False offset = get_offset(offset) # Calculate Result @@ -23,14 +23,14 @@ def slope(close, length=None, as_angle=None, to_degrees=None, offset=None, **kwa slope = slope.shift(offset) # Handle fills - if 'fillna' in kwargs: - slope.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - slope.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + slope.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + slope.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it slope.name = f"SLOPE_{length}" if not as_angle else f"ANGLE{'d' if to_degrees else 'r'}_{length}" - slope.category = 'momentum' + slope.category = "momentum" return slope diff --git a/pandas_ta/overlap/linreg.py b/pandas_ta/overlap/linreg.py index 3529a27..d1bdc1d 100644 --- a/pandas_ta/overlap/linreg.py +++ b/pandas_ta/overlap/linreg.py @@ -1,20 +1,20 @@ # -*- coding: utf-8 -*- import math -from ..utils import get_offset, verify_series +from pandas_ta.utils import get_offset, verify_series def linreg(close, length=None, offset=None, **kwargs): """Indicator: Linear Regression""" # Validate arguments close = verify_series(close) length = int(length) if length and length > 0 else 14 - min_periods = int(kwargs['min_periods']) if 'min_periods' in kwargs and kwargs['min_periods'] is not None else length + min_periods = int(kwargs["min_periods"]) if "min_periods" in kwargs and kwargs["min_periods"] is not None else length offset = get_offset(offset) - angle = kwargs.pop('angle', False) - intercept = kwargs.pop('intercept', False) - degrees = kwargs.pop('degrees', False) - r = kwargs.pop('r', False) - slope = kwargs.pop('slope', False) - tsf = kwargs.pop('tsf', False) + angle = kwargs.pop("angle", False) + intercept = kwargs.pop("intercept", False) + degrees = kwargs.pop("degrees", False) + r = kwargs.pop("r", False) + slope = kwargs.pop("slope", False) + tsf = kwargs.pop("tsf", False) # Calculate Result x = range(1, length + 1) # [1, 2, ..., n] from 1 to n keeps Sum(xy) low @@ -54,10 +54,10 @@ def linreg(close, length=None, offset=None, **kwargs): linreg = linreg.shift(offset) # Handle fills - if 'fillna' in kwargs: - linreg.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - linreg.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + linreg.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + linreg.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it linreg.name = f"LR" @@ -66,7 +66,7 @@ def linreg(close, length=None, offset=None, **kwargs): if angle: linreg.name += "a" if r: linreg.name += "r" linreg.name += f"_{length}" - linreg.category = 'overlap' + linreg.category = "overlap" return linreg @@ -75,7 +75,9 @@ def linreg(close, length=None, offset=None, **kwargs): linreg.__doc__ = \ """Linear Regression Moving Average (linreg) -Linear Regression Moving Average +Linear Regression Moving Average (LINREG). This is a simplified version of a +Standard Linear Regression. LINREG is a rolling regression of one variable. A +Standard Linear Regression is between two or more variables. Source: TA Lib @@ -104,12 +106,12 @@ Args: offset (int): How many periods to offset the result. Default: 0 Kwargs: - angle (bool, optional): Default: False. If True, returns the angle of the slope in radians - degrees (bool, optional): Default: False. If True, returns the angle of the slope in degrees - intercept (bool, optional): Default: False. If True, returns the angle of the slope in radians - r (bool, optional): Default: False. If True, returns it's correlation 'r' - slope (bool, optional): Default: False. If True, returns the slope - tsf (bool, optional): Default: False. If True, returns the Time Series Forecast value. + angle (bool, optional): Default: False. If True, returns the angle of the slope in radians + degrees (bool, optional): Default: False. If True, returns the angle of the slope in degrees + intercept (bool, optional): Default: False. If True, returns the angle of the slope in radians + r (bool, optional): Default: False. If True, returns it's correlation 'r' + slope (bool, optional): Default: False. If True, returns the slope + tsf (bool, optional): Default: False. If True, returns the Time Series Forecast value. fillna (value, optional): pd.DataFrame.fillna(value) fill_method (value, optional): Type of fill method diff --git a/pandas_ta/overlap/vwap.py b/pandas_ta/overlap/vwap.py index 3a8e32f..3401377 100644 --- a/pandas_ta/overlap/vwap.py +++ b/pandas_ta/overlap/vwap.py @@ -24,7 +24,7 @@ def vwap(high, low, close, volume, offset=None, **kwargs): # Name & Category vwap.name = "VWAP" - vwap.category = 'overlap' + vwap.category = "overlap" return vwap diff --git a/pandas_ta/trend/__init__.py b/pandas_ta/trend/__init__.py index 372e815..9d60231 100644 --- a/pandas_ta/trend/__init__.py +++ b/pandas_ta/trend/__init__.py @@ -4,10 +4,10 @@ from .amat import amat from .aroon import aroon from .chop import chop from .cksp import cksp +from .decay import decay from .decreasing import decreasing from .dpo import dpo from .increasing import increasing -from .linear_decay import linear_decay from .long_run import long_run from .psar import psar from .qstick import qstick diff --git a/pandas_ta/trend/amat.py b/pandas_ta/trend/amat.py index daf3ece..d31ebc2 100644 --- a/pandas_ta/trend/amat.py +++ b/pandas_ta/trend/amat.py @@ -12,28 +12,29 @@ def amat(close=None, fast=None, slow=None, mamode=None, lookback=None, offset=No fast = int(fast) if fast and fast > 0 else 8 slow = int(slow) if slow and slow > 0 else 21 lookback = int(lookback) if lookback and lookback > 0 else 2 - mamode = mamode.upper() if mamode else "EMA" + mamode = mamode.lower() if mamode else "ema" offset = get_offset(offset) # Calculate Result - if mamode == "EMA": - fast_ma = ema(close=close, length=fast, **kwargs) - slow_ma = ema(close=close, length=slow, **kwargs) - elif mamode == "HMA": + if mamode == "hma": fast_ma = hma(close=close, length=fast, **kwargs) slow_ma = hma(close=close, length=slow, **kwargs) - elif mamode == "LINREG": + elif mamode == "linreg": fast_ma = linreg(close=close, length=fast, **kwargs) slow_ma = linreg(close=close, length=slow, **kwargs) - elif mamode == "RMA": + elif mamode == "rma": fast_ma = rma(close=close, length=fast, **kwargs) slow_ma = rma(close=close, length=slow, **kwargs) - elif mamode == "SMA": + elif mamode == "sma": fast_ma = sma(close=close, length=fast, **kwargs) slow_ma = sma(close=close, length=slow, **kwargs) - elif mamode == "WMA": + elif mamode == "wma": fast_ma = wma(close=close, length=fast, **kwargs) slow_ma = wma(close=close, length=slow, **kwargs) + else: # "ema" + fast_ma = ema(close=close, length=fast, **kwargs) + slow_ma = ema(close=close, length=slow, **kwargs) + mas_long = long_run(fast_ma, slow_ma, length=lookback) mas_short = short_run(fast_ma, slow_ma, length=lookback) @@ -59,7 +60,7 @@ def amat(close=None, fast=None, slow=None, mamode=None, lookback=None, offset=No }) # Name and Categorize it - amatdf.name = f"AMAT_{mamode}_{fast}_{slow}_{lookback}" + amatdf.name = f"AMAT_{mamode.upper()}_{fast}_{slow}_{lookback}" amatdf.category = "trend" return amatdf \ No newline at end of file diff --git a/pandas_ta/trend/linear_decay.py b/pandas_ta/trend/decay.py similarity index 50% rename from pandas_ta/trend/linear_decay.py rename to pandas_ta/trend/decay.py index 89d8d30..b5ff6d0 100644 --- a/pandas_ta/trend/linear_decay.py +++ b/pandas_ta/trend/decay.py @@ -1,16 +1,23 @@ # -*- coding: utf-8 -*- +from math import exp from pandas import DataFrame from pandas_ta.utils import get_offset, verify_series -def linear_decay(close, length=None, offset=None, **kwargs): - """Indicator: Linear Decay""" +def decay(close, kind=None, length=None, mode=None, offset=None, **kwargs): + """Indicator: Decay""" # Validate Arguments close = verify_series(close) length = int(length) if length and length > 0 else 5 + mode = mode.lower() if isinstance(mode, str) else "linear" offset = get_offset(offset) # Calculate Result - diff = close.shift(1) - (1 / length) + _mode = "L" + if mode == "exp" or kind == "exponential": + _mode = "EXP" + diff = close.shift(1) - exp(-length) + else: # "linear" + diff = close.shift(1) - (1 / length) diff[0] = close[0] tdf = DataFrame({"close": close, "diff": diff, "0": 0}) ld = tdf.max(axis=1) @@ -25,31 +32,37 @@ def linear_decay(close, length=None, offset=None, **kwargs): if "fill_method" in kwargs: ld.fillna(method=kwargs["fill_method"], inplace=True) - # Name and Categorize it - ld.name = f"LDECAY_{length}" + # Name and Categorize it + ld.name = f"{_mode}DECAY_{length}" ld.category = "trend" return ld -linear_decay.__doc__ = \ -"""Linear Decay +decay.__doc__ = \ +"""Decay -Adds a linear decay moving forward from prior signals like crosses. +Creates a decay moving forward from prior signals like crosses. The default is +"linear". Exponential is optional as "exponential" or "exp". Sources: https://tulipindicators.org/decay Calculation: Default Inputs: - length=5 - max(close, close[-1] - (1 / length), 0) + length=5, mode=None + + if mode == "exponential" or mode == "exp": + max(close, close[-1] - exp(-length), 0) + else: + max(close, close[-1] - (1 / length), 0) Args: close (pd.Series): Series of 'close's - length (int): It's period. Default: 1 - offset (int): How many periods to offset the result. Default: 0 + length (int): It's period. Default: 1 + mamode (str): Option "exponential" ("exp"). Default: 'linear' or None + offset (int): How many periods to offset the result. Default: 0 Kwargs: fillna (value, optional): pd.DataFrame.fillna(value) diff --git a/pandas_ta/utils.py b/pandas_ta/utils.py deleted file mode 100644 index cc3630c..0000000 --- a/pandas_ta/utils.py +++ /dev/null @@ -1,452 +0,0 @@ -# -*- coding: utf-8 -*- -import math -from pathlib import Path -from time import perf_counter - -from numpy import argmax, argmin, dot, ones, triu -from numpy import append as npAppend -from numpy import array as npArray -from numpy import ndarray as npNdArray -from numpy import sum as npSum - -from pandas import DataFrame, Series -from pandas.api.types import is_datetime64_any_dtype - -from functools import reduce -from operator import mul -from sys import float_info as sflt - -TRADING_DAYS_PER_YEAR = 252 # Keep even -TRADING_HOURS_PER_DAY = 6.5 -MINUTES_PER_HOUR = 60 - - -def _above_below( - series_a: Series, - series_b: Series, - above: bool = True, - asint: bool = True, - offset: int = None, - **kwargs - ): - series_a = verify_series(series_a) - series_b = verify_series(series_b) - offset = get_offset(offset) - - series_a.apply(zero) - series_b.apply(zero) - - # Calculate Result - if above: - current = series_a >= series_b - else: - current = series_a <= series_b - - if asint: - current = current.astype(int) - - # Offset - if offset != 0: - current = current.shift(offset) - - # Name & Category - current.name = f"{series_a.name}_{'A' if above else 'B'}_{series_b.name}" - current.category = "utility" - - return current - - -def above( - series_a: Series, - series_b: Series, - asint: bool = True, - offset: int = None, - **kwargs - ): - return _above_below(series_a, series_b, above=True, asint=asint, offset=offset, **kwargs) - - -def above_value( - series_a: Series, - value: float, - asint: bool = True, - offset: int = None, - **kwargs - ): - if not isinstance(value, (int, float, complex)): - print("[X] value is not a number") - return - series_b = Series(value, index=series_a.index, name=f"{value}".replace(".","_")) - return _above_below(series_a, series_b, above=True, asint=asint, offset=offset, **kwargs) - - -def below( - series_a: Series, - series_b: Series, - asint: bool =True, - offset: int =None - ,**kwargs - ): - return _above_below(series_a, series_b, above=False, asint=asint, offset=offset, **kwargs) - - -def below_value( - series_a: Series, - value: float, - asint: bool = True, - offset: int = None, - **kwargs - ): - if not isinstance(value, (int, float, complex)): - print("[X] value is not a number") - return - series_b = Series(value, index=series_a.index, name=f"{value}".replace(".","_")) - return _above_below(series_a, series_b, above=False, asint=asint, offset=offset, **kwargs) - - -def category_files(category: str) -> list: - """Helper function to return all filenames in the category directory.""" - files = [x.stem for x in list(Path(f"pandas_ta/{category}/").glob("*.py")) if x.stem != "__init__"] - return files - - -def combination(**kwargs): - """https://stackoverflow.com/questions/4941753/is-there-a-math-ncr-function-in-python""" - n = int(math.fabs(kwargs.pop("n", 1))) - r = int(math.fabs(kwargs.pop("r", 0))) - - if kwargs.pop("repetition", False) or kwargs.pop("multichoose", False): - n = n + r - 1 - - # if r < 0: return None - r = min(n, n - r) - if r == 0: - return 1 - - numerator = reduce(mul, range(n, n - r, -1), 1) - denominator = reduce(mul, range(1, r + 1), 1) - return numerator // denominator - - -def cross_value( - series_a: Series, - value: float, - above: bool = True, - asint: bool = True, - offset: int = None, - **kwargs - ): - series_b = Series(value, index=series_a.index, name=f"{value}".replace(".","_")) - return cross(series_a, series_b, above, asint, offset, **kwargs) - - -def cross( - series_a: Series, - series_b: Series, - above: bool = True, - asint: bool = True, - offset: int = None, - **kwargs - ): - series_a = verify_series(series_a) - series_b = verify_series(series_b) - offset = get_offset(offset) - - series_a.apply(zero) - series_b.apply(zero) - - # Calculate Result - current = series_a > series_b # current is above - previous = series_a.shift(1) < series_b.shift(1) # previous is below - # above if both are true, below if both are false - cross = current & previous if above else ~current & ~previous - - if asint: - cross = cross.astype(int) - - # Offset - if offset != 0: - cross = cross.shift(offset) - - # Name & Category - cross.name = f"{series_a.name}_{'XA' if above else 'XB'}_{series_b.name}" - cross.category = "utility" - - return cross - - -def is_datetime_ordered(df: DataFrame or Series) -> bool: - """Returns True if the index is a datetime and ordered.""" - index_is_datetime = is_datetime64_any_dtype(df.index) - try: - ordered = df.index[0] < df.index[-1] - except RuntimeWarning: pass - finally: - return True if index_is_datetime and ordered else False - - -def signals(indicator, xa, xb, cross_values, xserie, xserie_a, xserie_b, cross_series, offset) -> DataFrame: - df = DataFrame() - if xa is not None and isinstance(xa, (int, float)): - if cross_values: - crossed_above_start = cross_value(indicator, xa, above=True, offset=offset) - crossed_above_end = cross_value(indicator, xa, above=False, offset=offset) - df[crossed_above_start.name] = crossed_above_start - df[crossed_above_end.name] = crossed_above_end - else: - crossed_above = above_value(indicator, xa, offset=offset) - df[crossed_above.name] = crossed_above - - if xb is not None and isinstance(xb, (int, float)): - if cross_values: - crossed_below_start = cross_value(indicator, xb, above=True, offset=offset) - crossed_below_end = cross_value(indicator, xb, above=False, offset=offset) - df[crossed_below_start.name] = crossed_below_start - df[crossed_below_end.name] = crossed_below_end - else: - crossed_below = below_value(indicator, xb, offset=offset) - df[crossed_below.name] = crossed_below - - # xseries is the default value for both xserie_a and xserie_b - if xserie_a is None: - xserie_a = xserie - if xserie_b is None: - xserie_b = xserie - - if xserie_a is not None and verify_series(xserie_a): - if cross_series: - cross_serie_above = cross(indicator, xserie_a, above=True, offset=offset) - else: - cross_serie_above = above(indicator, xserie_a, offset=offset) - - df[cross_serie_above.name] = cross_serie_above - - if xserie_b is not None and verify_series(xserie_b): - if cross_series: - cross_serie_below = cross(indicator, xserie_b, above=False, offset=offset) - else: - cross_serie_below = below(indicator, xserie_b, offset=offset) - - df[cross_serie_below.name] = cross_serie_below - - return df - - -def df_error_analysis(dfA: DataFrame, dfB: DataFrame, **kwargs) -> DataFrame: - """DataFrame Correlation Analysis helper""" - corr_method = kwargs.pop("corr_method", "pearson") - - # Find their differences and correlation - diff = dfA - dfB - corr = dfA.corr(dfB, method=corr_method) - - # For plotting - if kwargs.pop("plot", False): - diff.hist() - if diff[diff > 0].any(): - diff.plot(kind="kde") - - if kwargs.pop("triangular", False): - return corr.where(triu(ones(corr.shape)).astype(bool)) - - return corr - -def fibonacci(n: int = 2, **kwargs) -> npNdArray: - """Fibonacci Sequence as a numpy array""" - n = int(math.fabs(n)) if n >= 0 else 2 - - zero = kwargs.pop("zero", False) - if zero: - a, b = 0, 1 - else: - n -= 1 - a, b = 1, 1 - - result = npArray([a]) - for i in range(0, n): - a, b = b, a + b - result = npAppend(result, a) - - weighted = kwargs.pop("weighted", False) - if weighted: - fib_sum = npSum(result) - if fib_sum > 0: - return result / fib_sum - else: - return result - else: - return result - - -def final_time(stime): - time_diff = perf_counter() - stime - return f"{time_diff * 1000:2.4f} ms ({time_diff:2.4f} s)" - - -def get_drift(x: int) -> int: - """Returns an int if not zero, otherwise defaults to one.""" - return int(x) if isinstance(x, int) and x != 0 else 1 - - -def get_offset(x: int) -> int: - """Returns an int, otherwise defaults to zero.""" - return int(x) if isinstance(x, int) else 0 - - -def is_percent(x: int or float) -> bool: - if isinstance(x, (int, float)): - return x is not None and x >= 0 and x <= 100 - return False - - -def non_zero_range(high: Series, low: Series) -> Series: - """Returns the difference of two series and adds epsilon to any zero values. This occurs commonly in crypto data when - high = low. - """ - diff = high - low - if diff.eq(0).any().any(): - diff += sflt.epsilon - return diff - - -def pascals_triangle(n: int = None, **kwargs) -> npNdArray: - """Pascal's Triangle - - Returns a numpy array of the nth row of Pascal's Triangle. - n=4 => triangle: [1, 4, 6, 4, 1] - => weighted: [0.0625, 0.25, 0.375, 0.25, 0.0625] - => inverse weighted: [0.9375, 0.75, 0.625, 0.75, 0.9375] - """ - n = int(math.fabs(n)) if n is not None else 0 - - # Calculation - triangle = npArray([combination(n=n, r=i) for i in range(0, n + 1)]) - triangle_sum = npSum(triangle) - triangle_weights = triangle / triangle_sum - inverse_weights = 1 - triangle_weights - - weighted = kwargs.pop("weighted", False) - inverse = kwargs.pop("inverse", False) - if weighted and inverse: - return inverse_weights - if weighted: - return triangle_weights - if inverse: - return None - - return triangle - - -def recent_maximum_index(x): - return int(argmax(x[::-1])) - - -def recent_minimum_index(x): - return int(argmin(x[::-1])) - - -def signed_series(series: Series, initial: int = None) -> Series: - """Returns a Signed Series with or without an initial value - - Default Example: - series = Series([3, 2, 2, 1, 1, 5, 6, 6, 7, 5]) - and returns: - sign = Series([NaN, -1.0, 0.0, -1.0, 0.0, 1.0, 1.0, 0.0, 1.0, -1.0]) - """ - series = verify_series(series) - sign = series.diff(1) - sign[sign > 0] = 1 - sign[sign < 0] = -1 - sign.iloc[0] = initial - return sign - - -def symmetric_triangle(n: int = None, **kwargs) -> list: - """Symmetric Triangle with n >= 2 - - Returns a numpy array of the nth row of Symmetric Triangle. - n=4 => triangle: [1, 2, 2, 1] - => weighted: [0.16666667 0.33333333 0.33333333 0.16666667] - """ - n = int(math.fabs(n)) if n is not None else 2 - - if n == 2: - triangle = [1, 1] - - if n > 2: - if n % 2 == 0: - front = [i + 1 for i in range(0, math.floor(n/2))] - triangle = front + front[::-1] - else: - front = [i + 1 for i in range(0, math.floor(0.5 * (n + 1)))] - triangle = front.copy() - front.pop() - triangle += front[::-1] - - if kwargs.pop("weighted", False): - triangle_sum = npSum(triangle) - triangle_weights = triangle / triangle_sum - return triangle_weights - - return triangle - - -def unsigned_differences(series: Series, amount: int = None, **kwargs) -> Series: - """Unsigned Differences - Returns two Series, an unsigned positive and unsigned negative series based - on the differences of the original series. The positive series are only the - increases and the negative series is only the decreases. - - Default Example: - series = Series([3, 2, 2, 1, 1, 5, 6, 6, 7, 5, 3]) and returns - postive = Series([0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0]) - negative = Series([0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1]) - """ - amount = int(amount) if amount is not None else 1 - negative = series.diff(amount) - negative.fillna(0, inplace=True) - positive = negative.copy() - - positive[positive <= 0] = 0 - positive[positive > 0] = 1 - - negative[negative >= 0] = 0 - negative[negative < 0] = 1 - - if kwargs.pop("asint", False): - positive = positive.astype(int) - negative = negative.astype(int) - - return positive, negative - - -def verify_series(series: Series) -> Series: - """If a Pandas Series return it.""" - if series is not None and isinstance(series, Series): - return series - - -def weights(w): - def _dot(x): - return dot(w, x) - return _dot - - -def zero(x: [int, float]) -> [int, float]: - """If the value is close to zero, then return zero. - Otherwise return the value.""" - return 0 if abs(x) < sflt.epsilon else x - -# Candle Functions - -def candle_color(open_, close): - color = close.copy().astype(int) - color[close >= open_] = 1 - color[close < open_] = -1 - return color - -def real_body(close, open_): - return non_zero_range(close, open_) - -def high_low_range(high, low): - return non_zero_range(high, low) diff --git a/pandas_ta/utils/__init__.py b/pandas_ta/utils/__init__.py new file mode 100644 index 0000000..f0b1f6a --- /dev/null +++ b/pandas_ta/utils/__init__.py @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +from ._candles import * +from ._core import * +from ._math import * +from ._signals import * +from ._time import * \ No newline at end of file diff --git a/pandas_ta/utils/_candles.py b/pandas_ta/utils/_candles.py new file mode 100644 index 0000000..9c8ba89 --- /dev/null +++ b/pandas_ta/utils/_candles.py @@ -0,0 +1,19 @@ +# -*- coding: utf-8 -*- +from pandas import Series + +from ._core import non_zero_range + + + +def candle_color(open_: Series, close: Series) -> Series: + color = close.copy().astype(int) + color[close >= open_] = 1 + color[close < open_] = -1 + return color + +def high_low_range(high: Series, low: Series) -> Series: + return non_zero_range(high, low) + + +def real_body(close: Series, open_: Series) -> Series: + return non_zero_range(close, open_) \ No newline at end of file diff --git a/pandas_ta/utils/_core.py b/pandas_ta/utils/_core.py new file mode 100644 index 0000000..29b1e59 --- /dev/null +++ b/pandas_ta/utils/_core.py @@ -0,0 +1,109 @@ +# -*- coding: utf-8 -*- +from pathlib import Path +from sys import float_info as sflt + +from numpy import argmax, argmin + +from pandas import DataFrame, Series +from pandas.api.types import is_datetime64_any_dtype + + + +def category_files(category: str) -> list: + """Helper function to return all filenames in the category directory.""" + files = [x.stem for x in list(Path(f"pandas_ta/{category}/").glob("*.py")) if x.stem != "__init__"] + return files + + +def get_drift(x: int) -> int: + """Returns an int if not zero, otherwise defaults to one.""" + return int(x) if isinstance(x, int) and x != 0 else 1 + + +def get_offset(x: int) -> int: + """Returns an int, otherwise defaults to zero.""" + return int(x) if isinstance(x, int) else 0 + + +def is_datetime_ordered(df: DataFrame or Series) -> bool: + """Returns True if the index is a datetime and ordered.""" + index_is_datetime = is_datetime64_any_dtype(df.index) + try: + ordered = df.index[0] < df.index[-1] + except RuntimeWarning: pass + finally: + return True if index_is_datetime and ordered else False + + +def is_percent(x: int or float) -> bool: + if isinstance(x, (int, float)): + return x is not None and x >= 0 and x <= 100 + return False + + +def non_zero_range(high: Series, low: Series) -> Series: + """Returns the difference of two series and adds epsilon to any zero values. This occurs commonly in crypto data when 'high' = 'low'. + """ + diff = high - low + if diff.eq(0).any().any(): + diff += sflt.epsilon + return diff + + +def recent_maximum_index(x): + return int(argmax(x[::-1])) + + +def recent_minimum_index(x): + return int(argmin(x[::-1])) + + +def signed_series(series: Series, initial: int = None) -> Series: + """Returns a Signed Series with or without an initial value + + Default Example: + series = Series([3, 2, 2, 1, 1, 5, 6, 6, 7, 5]) + and returns: + sign = Series([NaN, -1.0, 0.0, -1.0, 0.0, 1.0, 1.0, 0.0, 1.0, -1.0]) + """ + series = verify_series(series) + sign = series.diff(1) + sign[sign > 0] = 1 + sign[sign < 0] = -1 + sign.iloc[0] = initial + return sign + + +def unsigned_differences(series: Series, amount: int = None, **kwargs) -> Series: + """Unsigned Differences + Returns two Series, an unsigned positive and unsigned negative series based + on the differences of the original series. The positive series are only the + increases and the negative series is only the decreases. + + Default Example: + series = Series([3, 2, 2, 1, 1, 5, 6, 6, 7, 5, 3]) and returns + postive = Series([0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0]) + negative = Series([0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1]) + """ + amount = int(amount) if amount is not None else 1 + negative = series.diff(amount) + negative.fillna(0, inplace=True) + positive = negative.copy() + + positive[positive <= 0] = 0 + positive[positive > 0] = 1 + + negative[negative >= 0] = 0 + negative[negative < 0] = 1 + + if kwargs.pop("asint", False): + positive = positive.astype(int) + negative = negative.astype(int) + + return positive, negative + + +def verify_series(series: Series) -> Series: + """If a Pandas Series return it.""" + if series is not None and isinstance(series, Series): + return series diff --git a/pandas_ta/utils/_math.py b/pandas_ta/utils/_math.py new file mode 100644 index 0000000..6ecc812 --- /dev/null +++ b/pandas_ta/utils/_math.py @@ -0,0 +1,215 @@ +# -*- coding: utf-8 -*- +from functools import reduce +from math import fabs, floor +from operator import mul +from sys import float_info as sflt + +from numpy import dot, ones, triu +from numpy import append as npAppend +from numpy import array as npArray +from numpy import corrcoef as npCorrcoef +from numpy import dot +from numpy import ndarray as npNdArray +from numpy import seterr +from numpy import sqrt as npSqrt +from numpy import sum as npSum + +from pandas import DataFrame, Series + +from pandas_ta import Imports +from ._core import verify_series + + + +def combination(**kwargs): + """https://stackoverflow.com/questions/4941753/is-there-a-math-ncr-function-in-python""" + n = int(fabs(kwargs.pop("n", 1))) + r = int(fabs(kwargs.pop("r", 0))) + + if kwargs.pop("repetition", False) or kwargs.pop("multichoose", False): + n = n + r - 1 + + # if r < 0: return None + r = min(n, n - r) + if r == 0: + return 1 + + numerator = reduce(mul, range(n, n - r, -1), 1) + denominator = reduce(mul, range(1, r + 1), 1) + return numerator // denominator + + +def fibonacci(n: int = 2, **kwargs) -> npNdArray: + """Fibonacci Sequence as a numpy array""" + n = int(fabs(n)) if n >= 0 else 2 + + zero = kwargs.pop("zero", False) + if zero: + a, b = 0, 1 + else: + n -= 1 + a, b = 1, 1 + + result = npArray([a]) + for i in range(0, n): + a, b = b, a + b + result = npAppend(result, a) + + weighted = kwargs.pop("weighted", False) + if weighted: + fib_sum = npSum(result) + if fib_sum > 0: + return result / fib_sum + else: + return result + else: + return result + + +def linear_regression(x: Series, y: Series) -> dict: + """Classic Linear Regression in Numpy or Scikit-Learn""" + x = verify_series(x) + y = verify_series(y) + + m, n = x.size, y.size + if m != n: + print(f"[X] Linear Regression X and y observations do not match: {m} != {n}") + return + + if Imports["sklearn"]: + return _linear_regression_sklearn(x, y) + else: + return _linear_regression_np(x, y) + + +def pascals_triangle(n: int = None, **kwargs) -> npNdArray: + """Pascal's Triangle + + Returns a numpy array of the nth row of Pascal's Triangle. + n=4 => triangle: [1, 4, 6, 4, 1] + => weighted: [0.0625, 0.25, 0.375, 0.25, 0.0625] + => inverse weighted: [0.9375, 0.75, 0.625, 0.75, 0.9375] + """ + n = int(fabs(n)) if n is not None else 0 + + # Calculation + triangle = npArray([combination(n=n, r=i) for i in range(0, n + 1)]) + triangle_sum = npSum(triangle) + triangle_weights = triangle / triangle_sum + inverse_weights = 1 - triangle_weights + + weighted = kwargs.pop("weighted", False) + inverse = kwargs.pop("inverse", False) + if weighted and inverse: + return inverse_weights + if weighted: + return triangle_weights + if inverse: + return None + + return triangle + + +def symmetric_triangle(n: int = None, **kwargs) -> list: + """Symmetric Triangle with n >= 2 + + Returns a numpy array of the nth row of Symmetric Triangle. + n=4 => triangle: [1, 2, 2, 1] + => weighted: [0.16666667 0.33333333 0.33333333 0.16666667] + """ + n = int(fabs(n)) if n is not None else 2 + + if n == 2: + triangle = [1, 1] + + if n > 2: + if n % 2 == 0: + front = [i + 1 for i in range(0, floor(n/2))] + triangle = front + front[::-1] + else: + front = [i + 1 for i in range(0, floor(0.5 * (n + 1)))] + triangle = front.copy() + front.pop() + triangle += front[::-1] + + if kwargs.pop("weighted", False): + triangle_sum = npSum(triangle) + triangle_weights = triangle / triangle_sum + return triangle_weights + + return triangle + + +def weights(w): + def _dot(x): + return dot(w, x) + return _dot + + +def zero(x: [int, float]) -> [int, float]: + """If the value is close to zero, then return zero. + Otherwise return itself.""" + return 0 if abs(x) < sflt.epsilon else x + + +# TESTING + +def df_error_analysis(dfA: DataFrame, dfB: DataFrame, **kwargs) -> DataFrame: + """DataFrame Correlation Analysis helper""" + corr_method = kwargs.pop("corr_method", "pearson") + + # Find their differences and correlation + diff = dfA - dfB + corr = dfA.corr(dfB, method=corr_method) + + # For plotting + if kwargs.pop("plot", False): + diff.hist() + if diff[diff > 0].any(): + diff.plot(kind="kde") + + if kwargs.pop("triangular", False): + return corr.where(triu(ones(corr.shape)).astype(bool)) + + return corr + + +# PRIVATE + +def _linear_regression_np(x: Series, y: Series) -> dict: + """Simple Linear Regression in Numpy for two 1d arrays for environments + without the sklearn package.""" + m = x.size + x_sum = x.sum() + y_sum = y.sum() + + # 1st row, 2nd col value corr(x, y) + r = npCorrcoef(x, y)[0,1] + + r_mixture = m * (x * y).sum() - x_sum * y_sum + b = r_mixture / (m * (x * x).sum() - x_sum * x_sum) + a = y.mean() - b * x.mean() + line = a + b * x + + # seterr(divide="ignore", invalid="ignore") + return { + "a": a, "b": b, "r": r, + "t": r / npSqrt((1 - r * r) / (m - 2)), + "line": line + } + +def _linear_regression_sklearn(x, y): + """Simple Linear Regression in Scikit Learn for two 1d arrays for + environments with the sklearn package.""" + from sklearn.linear_model import LinearRegression + + regression = LinearRegression().fit(DataFrame(x), y=y) + r = regression.score(DataFrame(x), y=y) + + a, b = regression.intercept_, regression.coef_[0] + + return { + "a": a, "b": b, "r": r, + "t": r / npSqrt((1 - r * r) / (x.size - 2)), + "line": a + b * x + } \ No newline at end of file diff --git a/pandas_ta/utils/_signals.py b/pandas_ta/utils/_signals.py new file mode 100644 index 0000000..df99d71 --- /dev/null +++ b/pandas_ta/utils/_signals.py @@ -0,0 +1,184 @@ +# -*- coding: utf-8 -*- +from pandas import DataFrame, Series + +from ._core import get_offset, verify_series +from ._math import zero + + + +def _above_below( + series_a: Series, + series_b: Series, + above: bool = True, + asint: bool = True, + offset: int = None, + **kwargs + ): + series_a = verify_series(series_a) + series_b = verify_series(series_b) + offset = get_offset(offset) + + series_a.apply(zero) + series_b.apply(zero) + + # Calculate Result + if above: + current = series_a >= series_b + else: + current = series_a <= series_b + + if asint: + current = current.astype(int) + + # Offset + if offset != 0: + current = current.shift(offset) + + # Name & Category + current.name = f"{series_a.name}_{'A' if above else 'B'}_{series_b.name}" + current.category = "utility" + + return current + + +def above( + series_a: Series, + series_b: Series, + asint: bool = True, + offset: int = None, + **kwargs + ): + return _above_below(series_a, series_b, above=True, asint=asint, offset=offset, **kwargs) + + +def above_value( + series_a: Series, + value: float, + asint: bool = True, + offset: int = None, + **kwargs + ): + if not isinstance(value, (int, float, complex)): + print("[X] value is not a number") + return + series_b = Series(value, index=series_a.index, name=f"{value}".replace(".","_")) + return _above_below(series_a, series_b, above=True, asint=asint, offset=offset, **kwargs) + + +def below( + series_a: Series, + series_b: Series, + asint: bool =True, + offset: int =None + ,**kwargs + ): + return _above_below(series_a, series_b, above=False, asint=asint, offset=offset, **kwargs) + + +def below_value( + series_a: Series, + value: float, + asint: bool = True, + offset: int = None, + **kwargs + ): + if not isinstance(value, (int, float, complex)): + print("[X] value is not a number") + return + series_b = Series(value, index=series_a.index, name=f"{value}".replace(".","_")) + return _above_below(series_a, series_b, above=False, asint=asint, offset=offset, **kwargs) + + +def cross_value( + series_a: Series, + value: float, + above: bool = True, + asint: bool = True, + offset: int = None, + **kwargs + ): + series_b = Series(value, index=series_a.index, name=f"{value}".replace(".","_")) + return cross(series_a, series_b, above, asint, offset, **kwargs) + + +def cross( + series_a: Series, + series_b: Series, + above: bool = True, + asint: bool = True, + offset: int = None, + **kwargs + ): + series_a = verify_series(series_a) + series_b = verify_series(series_b) + offset = get_offset(offset) + + series_a.apply(zero) + series_b.apply(zero) + + # Calculate Result + current = series_a > series_b # current is above + previous = series_a.shift(1) < series_b.shift(1) # previous is below + # above if both are true, below if both are false + cross = current & previous if above else ~current & ~previous + + if asint: + cross = cross.astype(int) + + # Offset + if offset != 0: + cross = cross.shift(offset) + + # Name & Category + cross.name = f"{series_a.name}_{'XA' if above else 'XB'}_{series_b.name}" + cross.category = "utility" + + return cross + + + +def signals(indicator, xa, xb, cross_values, xserie, xserie_a, xserie_b, cross_series, offset) -> DataFrame: + df = DataFrame() + if xa is not None and isinstance(xa, (int, float)): + if cross_values: + crossed_above_start = cross_value(indicator, xa, above=True, offset=offset) + crossed_above_end = cross_value(indicator, xa, above=False, offset=offset) + df[crossed_above_start.name] = crossed_above_start + df[crossed_above_end.name] = crossed_above_end + else: + crossed_above = above_value(indicator, xa, offset=offset) + df[crossed_above.name] = crossed_above + + if xb is not None and isinstance(xb, (int, float)): + if cross_values: + crossed_below_start = cross_value(indicator, xb, above=True, offset=offset) + crossed_below_end = cross_value(indicator, xb, above=False, offset=offset) + df[crossed_below_start.name] = crossed_below_start + df[crossed_below_end.name] = crossed_below_end + else: + crossed_below = below_value(indicator, xb, offset=offset) + df[crossed_below.name] = crossed_below + + # xseries is the default value for both xserie_a and xserie_b + if xserie_a is None: + xserie_a = xserie + if xserie_b is None: + xserie_b = xserie + + if xserie_a is not None and verify_series(xserie_a): + if cross_series: + cross_serie_above = cross(indicator, xserie_a, above=True, offset=offset) + else: + cross_serie_above = above(indicator, xserie_a, offset=offset) + + df[cross_serie_above.name] = cross_serie_above + + if xserie_b is not None and verify_series(xserie_b): + if cross_series: + cross_serie_below = cross(indicator, xserie_b, above=False, offset=offset) + else: + cross_serie_below = below(indicator, xserie_b, offset=offset) + + df[cross_serie_below.name] = cross_serie_below + + return df \ No newline at end of file diff --git a/pandas_ta/utils/_time.py b/pandas_ta/utils/_time.py new file mode 100644 index 0000000..24f7b03 --- /dev/null +++ b/pandas_ta/utils/_time.py @@ -0,0 +1,25 @@ +# -*- coding: utf-8 -*- +from datetime import datetime +from time import perf_counter + +from pandas_ta import EXCHANGE_TZ + + + +def final_time(stime): + time_diff = perf_counter() - stime + return f"{time_diff * 1000:2.4f} ms ({time_diff:2.4f} s)" + + +def get_time(exchange: str = "NYSE", to_string:bool = False) -> (None, str): + tz = EXCHANGE_TZ["NYSE"] # Default is NYSE (Eastern Time Zone) + if isinstance(exchange, str): + exchange = exchange.upper() + tz = EXCHANGE_TZ[exchange] + + day_of_year = datetime.utcnow().timetuple().tm_yday + today = datetime.utcnow() + s = f"Today: {today}, " + s += f"Day {day_of_year}/365 ({100 * round(day_of_year/365, 2)}%), " + s += f"{exchange} Time: {(today.timetuple().tm_hour + tz) % 12}:{today.timetuple().tm_min}:{today.timetuple().tm_sec}" + return s if to_string else print(s) diff --git a/pandas_ta/volatility/accbands.py b/pandas_ta/volatility/accbands.py index d6ded67..565bad7 100644 --- a/pandas_ta/volatility/accbands.py +++ b/pandas_ta/volatility/accbands.py @@ -12,7 +12,7 @@ def accbands(high, low, close, length=None, c=None, drift=None, mamode=None, off high_low_range = non_zero_range(high, low) length = int(length) if length and length > 0 else 20 c = float(c) if c and c > 0 else 4 - min_periods = int(kwargs['min_periods']) if 'min_periods' in kwargs and kwargs['min_periods'] is not None else length + min_periods = int(kwargs["min_periods"]) if "min_periods" in kwargs and kwargs["min_periods"] is not None else length mamode = mamode.lower() if mamode else "sma" drift = get_drift(drift) offset = get_offset(offset) diff --git a/pandas_ta/volatility/bbands.py b/pandas_ta/volatility/bbands.py index b0f9982..e4f3c7b 100644 --- a/pandas_ta/volatility/bbands.py +++ b/pandas_ta/volatility/bbands.py @@ -9,7 +9,6 @@ def bbands(close, length=None, std=None, mamode=None, offset=None, **kwargs): # Validate arguments close = verify_series(close) length = int(length) if length and length > 0 else 5 - min_periods = int(kwargs["min_periods"]) if "min_periods" in kwargs and kwargs["min_periods"] is not None else length std = float(std) if std and std > 0 else 2. mamode = mamode.lower() if mamode else "sma" offset = get_offset(offset) @@ -52,7 +51,7 @@ def bbands(close, length=None, std=None, mamode=None, offset=None, **kwargs): data = {lower.name: lower, mid.name: mid, upper.name: upper} bbandsdf = DataFrame(data) bbandsdf.name = f"BBANDS_{length}_{std}" - bbandsdf.category = "volatility" + bbandsdf.category = mid.category return bbandsdf diff --git a/pandas_ta/volatility/donchian.py b/pandas_ta/volatility/donchian.py index cad0777..bd17970 100644 --- a/pandas_ta/volatility/donchian.py +++ b/pandas_ta/volatility/donchian.py @@ -9,8 +9,8 @@ def donchian(high, low, lower_length=None, upper_length=None, offset=None, **kwa low = verify_series(low) lower_length = int(lower_length) if lower_length and lower_length > 0 else 20 upper_length = int(upper_length) if upper_length and upper_length > 0 else 20 - lower_min_periods = int(kwargs['lower_min_periods']) if 'lower_min_periods' in kwargs and kwargs['lower_min_periods'] is not None else lower_length - upper_min_periods = int(kwargs['upper_min_periods']) if 'upper_min_periods' in kwargs and kwargs['upper_min_periods'] is not None else upper_length + lower_min_periods = int(kwargs["lower_min_periods"]) if "lower_min_periods" in kwargs and kwargs["lower_min_periods"] is not None else lower_length + upper_min_periods = int(kwargs["upper_min_periods"]) if "upper_min_periods" in kwargs and kwargs["upper_min_periods"] is not None else upper_length offset = get_offset(offset) # Calculate Result @@ -19,14 +19,14 @@ def donchian(high, low, lower_length=None, upper_length=None, offset=None, **kwa mid = 0.5 * (lower + upper) # Handle fills - if 'fillna' in kwargs: - lower.fillna(kwargs['fillna'], inplace=True) - mid.fillna(kwargs['fillna'], inplace=True) - upper.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - lower.fillna(method=kwargs['fill_method'], inplace=True) - mid.fillna(method=kwargs['fill_method'], inplace=True) - upper.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + lower.fillna(kwargs["fillna"], inplace=True) + mid.fillna(kwargs["fillna"], inplace=True) + upper.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + lower.fillna(method=kwargs["fill_method"], inplace=True) + mid.fillna(method=kwargs["fill_method"], inplace=True) + upper.fillna(method=kwargs["fill_method"], inplace=True) # Offset if offset != 0: @@ -38,13 +38,13 @@ def donchian(high, low, lower_length=None, upper_length=None, offset=None, **kwa lower.name = f"DCL_{lower_length}_{upper_length}" mid.name = f"DCM_{lower_length}_{upper_length}" upper.name = f"DCU_{lower_length}_{upper_length}" - mid.category = upper.category = lower.category = 'volatility' + mid.category = upper.category = lower.category = "volatility" # Prepare DataFrame to return data = {lower.name: lower, mid.name: mid, upper.name: upper} dcdf = DataFrame(data) dcdf.name = f"DC_{lower_length}_{upper_length}" - dcdf.category = 'volatility' + dcdf.category = mid.category return dcdf diff --git a/pandas_ta/volatility/massi.py b/pandas_ta/volatility/massi.py index ed6f5d9..7cf7efa 100644 --- a/pandas_ta/volatility/massi.py +++ b/pandas_ta/volatility/massi.py @@ -12,7 +12,7 @@ def massi(high, low, fast=None, slow=None, offset=None, **kwargs): slow = int(slow) if slow and slow > 0 else 25 if slow < fast: fast, slow = slow, fast - min_periods = int(kwargs['min_periods']) if 'min_periods' in kwargs and kwargs['min_periods'] is not None else fast + min_periods = int(kwargs["min_periods"]) if "min_periods" in kwargs and kwargs["min_periods"] is not None else fast offset = get_offset(offset) # Calculate Result @@ -27,14 +27,14 @@ def massi(high, low, fast=None, slow=None, offset=None, **kwargs): massi = massi.shift(offset) # Handle fills - if 'fillna' in kwargs: - massi.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - massi.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + massi.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + massi.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it massi.name = f"MASSI_{fast}_{slow}" - massi.category = 'volatility' + massi.category = "volatility" return massi diff --git a/pandas_ta/volatility/natr.py b/pandas_ta/volatility/natr.py index f228801..670d5c8 100644 --- a/pandas_ta/volatility/natr.py +++ b/pandas_ta/volatility/natr.py @@ -9,7 +9,7 @@ def natr(high, low, close, length=None, mamode=None, scalar=None, drift=None, of low = verify_series(low) close = verify_series(close) length = int(length) if length and length > 0 else 14 - mamode = mamode.lower() if mamode else 'ema' + mamode = mamode.lower() if mamode else "ema" scalar = float(scalar) if scalar else 100 drift = get_drift(drift) offset = get_offset(offset) @@ -23,14 +23,14 @@ def natr(high, low, close, length=None, mamode=None, scalar=None, drift=None, of natr = natr.shift(offset) # Handle fills - if 'fillna' in kwargs: - natr.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - natr.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + natr.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + natr.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it natr.name = f"NATR_{length}" - natr.category = 'volatility' + natr.category = "volatility" return natr diff --git a/pandas_ta/volatility/pdist.py b/pandas_ta/volatility/pdist.py index c5194ed..f90e115 100644 --- a/pandas_ta/volatility/pdist.py +++ b/pandas_ta/volatility/pdist.py @@ -22,7 +22,7 @@ def pdist(open_, high, low, close, drift=None, offset=None, **kwargs): # Name & Category pdist.name = "PDIST" - pdist.category = 'volatility' + pdist.category = "volatility" return pdist diff --git a/pandas_ta/volatility/true_range.py b/pandas_ta/volatility/true_range.py index d8320ea..f7c6ad3 100644 --- a/pandas_ta/volatility/true_range.py +++ b/pandas_ta/volatility/true_range.py @@ -23,14 +23,14 @@ def true_range(high, low, close, drift=None, offset=None, **kwargs): true_range = true_range.shift(offset) # Handle fills - if 'fillna' in kwargs: - true_range.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - true_range.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + true_range.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + true_range.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it true_range.name = f"TRUERANGE_{drift}" - true_range.category = 'volatility' + true_range.category = "volatility" return true_range diff --git a/pandas_ta/volume/adosc.py b/pandas_ta/volume/adosc.py index 5899b9e..b19233b 100644 --- a/pandas_ta/volume/adosc.py +++ b/pandas_ta/volume/adosc.py @@ -25,14 +25,14 @@ def adosc(high, low, close, volume, open_=None, fast=None, slow=None, offset=Non adosc = adosc.shift(offset) # Handle fills - if 'fillna' in kwargs: - adosc.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - adosc.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + adosc.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + adosc.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it adosc.name = f"ADOSC_{fast}_{slow}" - adosc.category = 'volume' + adosc.category = "volume" return adosc diff --git a/pandas_ta/volume/cmf.py b/pandas_ta/volume/cmf.py index 47e35d2..62d1cf7 100644 --- a/pandas_ta/volume/cmf.py +++ b/pandas_ta/volume/cmf.py @@ -10,7 +10,7 @@ def cmf(high, low, close, volume, open_=None, length=None, offset=None, **kwargs volume = verify_series(volume) high_low_range = non_zero_range(high, low) length = int(length) if length and length > 0 else 20 - min_periods = int(kwargs['min_periods']) if 'min_periods' in kwargs and kwargs['min_periods'] is not None else length + min_periods = int(kwargs["min_periods"]) if "min_periods" in kwargs and kwargs["min_periods"] is not None else length offset = get_offset(offset) # Calculate Result @@ -29,14 +29,14 @@ def cmf(high, low, close, volume, open_=None, length=None, offset=None, **kwargs cmf = cmf.shift(offset) # Handle fills - if 'fillna' in kwargs: - cmf.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - cmf.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + cmf.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + cmf.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it cmf.name = f"CMF_{length}" - cmf.category = 'volume' + cmf.category = "volume" return cmf diff --git a/pandas_ta/volume/mfi.py b/pandas_ta/volume/mfi.py index 6e2ff5a..9082e23 100644 --- a/pandas_ta/volume/mfi.py +++ b/pandas_ta/volume/mfi.py @@ -18,33 +18,33 @@ def mfi(high, low, close, volume, length=None, drift=None, offset=None, **kwargs typical_price = hlc3(high=high, low=low, close=close) raw_money_flow = typical_price * volume - tdf = DataFrame({'diff': 0, 'rmf': raw_money_flow, '+mf': 0, '-mf': 0}) + tdf = DataFrame({"diff": 0, "rmf": raw_money_flow, "+mf": 0, "-mf": 0}) - tdf.loc[(typical_price.diff(drift) > 0), 'diff'] = 1 - tdf.loc[tdf['diff'] == 1, '+mf'] = raw_money_flow + tdf.loc[(typical_price.diff(drift) > 0), "diff"] = 1 + tdf.loc[tdf["diff"] == 1, "+mf"] = raw_money_flow - tdf.loc[(typical_price.diff(drift) < 0), 'diff'] = -1 - tdf.loc[tdf['diff'] == -1, '-mf'] = raw_money_flow + tdf.loc[(typical_price.diff(drift) < 0), "diff"] = -1 + tdf.loc[tdf["diff"] == -1, "-mf"] = raw_money_flow - psum = tdf['+mf'].rolling(length).sum() - nsum = tdf['-mf'].rolling(length).sum() - tdf['mr'] = psum / nsum + psum = tdf["+mf"].rolling(length).sum() + nsum = tdf["-mf"].rolling(length).sum() + tdf["mr"] = psum / nsum mfi = 100 * psum / (psum + nsum) - tdf['mfi'] = mfi + tdf["mfi"] = mfi # Offset if offset != 0: mfi = mfi.shift(offset) # Handle fills - if 'fillna' in kwargs: - mfi.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - mfi.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + mfi.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + mfi.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it mfi.name = f"MFI_{length}" - mfi.category = 'volume' + mfi.category = "volume" return mfi diff --git a/pandas_ta/volume/nvi.py b/pandas_ta/volume/nvi.py index 27b8697..4868ae5 100644 --- a/pandas_ta/volume/nvi.py +++ b/pandas_ta/volume/nvi.py @@ -8,7 +8,7 @@ def nvi(close, volume, length=None, initial=None, offset=None, **kwargs): close = verify_series(close) volume = verify_series(volume) length = int(length) if length and length > 0 else 1 - min_periods = int(kwargs['min_periods']) if 'min_periods' in kwargs and kwargs['min_periods'] is not None else length + min_periods = int(kwargs["min_periods"]) if "min_periods" in kwargs and kwargs["min_periods"] is not None else length initial = int(initial) if initial and initial > 0 else 1000 offset = get_offset(offset) @@ -25,14 +25,14 @@ def nvi(close, volume, length=None, initial=None, offset=None, **kwargs): nvi = nvi.shift(offset) # Handle fills - if 'fillna' in kwargs: - nvi.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - nvi.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + nvi.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + nvi.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it nvi.name = f"NVI_{length}" - nvi.category = 'volume' + nvi.category = "volume" return nvi diff --git a/pandas_ta/volume/obv.py b/pandas_ta/volume/obv.py index f3292ae..079d4cf 100644 --- a/pandas_ta/volume/obv.py +++ b/pandas_ta/volume/obv.py @@ -17,14 +17,14 @@ def obv(close, volume, offset=None, **kwargs): obv = obv.shift(offset) # Handle fills - if 'fillna' in kwargs: - obv.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - obv.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + obv.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + obv.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it obv.name = f"OBV" - obv.category = 'volume' + obv.category = "volume" return obv diff --git a/pandas_ta/volume/pvi.py b/pandas_ta/volume/pvi.py index 318bcc9..b56fc88 100644 --- a/pandas_ta/volume/pvi.py +++ b/pandas_ta/volume/pvi.py @@ -8,7 +8,7 @@ def pvi(close, volume, length=None, initial=None, offset=None, **kwargs): close = verify_series(close) volume = verify_series(volume) length = int(length) if length and length > 0 else 1 - min_periods = int(kwargs['min_periods']) if 'min_periods' in kwargs and kwargs['min_periods'] is not None else length + min_periods = int(kwargs["min_periods"]) if "min_periods" in kwargs and kwargs["min_periods"] is not None else length initial = int(initial) if initial and initial > 0 else 1000 offset = get_offset(offset) @@ -25,14 +25,14 @@ def pvi(close, volume, length=None, initial=None, offset=None, **kwargs): pvi = pvi.shift(offset) # Handle fills - if 'fillna' in kwargs: - pvi.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - pvi.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + pvi.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + pvi.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it pvi.name = f"PVI_{length}" - pvi.category = 'volume' + pvi.category = "volume" return pvi diff --git a/pandas_ta/volume/pvol.py b/pandas_ta/volume/pvol.py index 27d303f..952dc06 100644 --- a/pandas_ta/volume/pvol.py +++ b/pandas_ta/volume/pvol.py @@ -7,7 +7,7 @@ def pvol(close, volume, offset=None, **kwargs): close = verify_series(close) volume = verify_series(volume) offset = get_offset(offset) - signed = kwargs.pop('signed', False) + signed = kwargs.pop("signed", False) # Calculate Result if signed: @@ -20,14 +20,14 @@ def pvol(close, volume, offset=None, **kwargs): pvol = pvol.shift(offset) # Handle fills - if 'fillna' in kwargs: - pvol.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - pvol.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + pvol.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + pvol.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it pvol.name = f"PVOL" - pvol.category = 'volume' + pvol.category = "volume" return pvol diff --git a/pandas_ta/volume/pvt.py b/pandas_ta/volume/pvt.py index 56190ef..23851d7 100644 --- a/pandas_ta/volume/pvt.py +++ b/pandas_ta/volume/pvt.py @@ -19,14 +19,14 @@ def pvt(close, volume, drift=None, offset=None, **kwargs): pvt = pvt.shift(offset) # Handle fills - if 'fillna' in kwargs: - pvt.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - pvt.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + pvt.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + pvt.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it pvt.name = f"PVT" - pvt.category = 'volume' + pvt.category = "volume" return pvt diff --git a/pandas_ta/volume/vp.py b/pandas_ta/volume/vp.py index 8302299..96a72a5 100644 --- a/pandas_ta/volume/vp.py +++ b/pandas_ta/volume/vp.py @@ -9,7 +9,7 @@ def vp(close, volume, width=None, **kwargs): close = verify_series(close) volume = verify_series(volume) width = int(width) if width and width > 0 else 10 - sort_close = kwargs.pop('sort_close', False) + sort_close = kwargs.pop("sort_close", False) # Setup signed_volume = signed_series(volume, initial=1) @@ -47,14 +47,14 @@ def vp(close, volume, width=None, **kwargs): vpdf[total_volume_col] = vpdf[pos_volume_col] + vpdf[neg_volume_col] # Handle fills - if 'fillna' in kwargs: - vpdf.fillna(kwargs['fillna'], inplace=True) - if 'fill_method' in kwargs: - vpdf.fillna(method=kwargs['fill_method'], inplace=True) + if "fillna" in kwargs: + vpdf.fillna(kwargs["fillna"], inplace=True) + if "fill_method" in kwargs: + vpdf.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it vpdf.name = f"VP_{width}" - vpdf.category = 'volume' + vpdf.category = "volume" return vpdf diff --git a/setup.py b/setup.py index 0b250ae..a15acbe 100644 --- a/setup.py +++ b/setup.py @@ -1,13 +1,12 @@ # -*- coding: utf-8 -*- from distutils.core import setup -from pandas_ta.core import version long_description = "An easy to use Python 3 Pandas Extension with 115+ Technical Analysis Indicators. Can be called from a Pandas DataFrame or standalone like TA-Lib. Correlation tested with TA-Lib." setup( name ="pandas_ta", - packages =['pandas_ta', 'pandas_ta.candles', 'pandas_ta.momentum', 'pandas_ta.overlap', 'pandas_ta.performance', 'pandas_ta.statistics', 'pandas_ta.trend', 'pandas_ta.volatility', 'pandas_ta.volume'], - version =version, + packages =["pandas_ta", "pandas_ta.candles", "pandas_ta.momentum", "pandas_ta.overlap", "pandas_ta.performance", "pandas_ta.statistics", "pandas_ta.trend", "pandas_ta.utils", "pandas_ta.volatility", "pandas_ta.volume"], + version =".".join(("0", "2", "15b")), description =long_description, long_description =long_description, author ="Kevin Johnson", @@ -15,36 +14,36 @@ setup( url ="https://github.com/twopirllc/pandas-ta", maintainer ="Kevin Johnson", maintainer_email ="appliedmathkj@gmail.com", - # install_requires=['pandas'], + # install_requires=["pandas"], download_url ="https://github.com/twopirllc/pandas-ta.git", - keywords =['technical analysis', 'trading', 'python3', 'pandas'], + keywords =["technical analysis", "trading", "python3", "pandas"], license ="The MIT License (MIT)", classifiers =[ - 'Development Status :: 4 - Beta', - 'Programming Language :: Python :: 3.6', - 'Programming Language :: Python :: 3.7', - 'Programming Language :: Python :: 3.8', - 'Operating System :: OS Independent', - 'License :: OSI Approved :: MIT License', - 'Natural Language :: English', - 'Intended Audience :: Developers', - 'Intended Audience :: Financial and Insurance Industry', - 'Intended Audience :: Science/Research', - 'Topic :: Office/Business :: Financial', - 'Topic :: Office/Business :: Financial :: Investment', - 'Topic :: Scientific/Engineering', - 'Topic :: Scientific/Engineering :: Information Analysis', + "Development Status :: 4 - Beta", + "Programming Language :: Python :: 3.6", + "Programming Language :: Python :: 3.7", + "Programming Language :: Python :: 3.8", + "Operating System :: OS Independent", + "License :: OSI Approved :: MIT License", + "Natural Language :: English", + "Intended Audience :: Developers", + "Intended Audience :: Financial and Insurance Industry", + "Intended Audience :: Science/Research", + "Topic :: Office/Business :: Financial", + "Topic :: Office/Business :: Financial :: Investment", + "Topic :: Scientific/Engineering", + "Topic :: Scientific/Engineering :: Information Analysis", ], package_data={ - 'data': ['data/*.csv'], + "data": ["data/*.csv"], }, - install_requires =['pandas'], + install_requires =["pandas"], # List additional groups of dependencies here (e.g. development dependencies). # You can install these using the following syntax, for example: # $ pip install -e .[dev,test] extras_require = { - 'dev': ['ta-lib', 'jupyterlab'], - 'test': ['ta-lib'], + "dev": ["ta-lib", "jupyterlab", "sklearn", "statsmodels"], + "test": ["ta-lib"], }, ) diff --git a/tests/config.py b/tests/config.py index 7c01aa3..0f6c911 100644 --- a/tests/config.py +++ b/tests/config.py @@ -1,5 +1,5 @@ import os -from pandas import read_csv +from pandas import DatetimeIndex, read_csv VERBOSE = True @@ -13,9 +13,12 @@ sample_data = read_csv( f"data/SPY_D.csv", index_col=0, parse_dates=True, - infer_datetime_format=False, + infer_datetime_format=True, keep_date_col=True ) +sample_data.set_index(DatetimeIndex(sample_data["date"]), inplace=True, drop=True) +sample_data.drop("date", axis=1, inplace=True) + def error_analysis(df, kind, msg, icon=INFO, newline=True): if VERBOSE: diff --git a/tests/test_indicator_candle_ext.py b/tests/test_ext_indicator_candle.py similarity index 92% rename from tests/test_indicator_candle_ext.py rename to tests/test_ext_indicator_candle.py index b447c05..ce8f9e5 100644 --- a/tests/test_indicator_candle_ext.py +++ b/tests/test_ext_indicator_candle.py @@ -15,12 +15,8 @@ class TestCandleExtension(TestCase): def tearDownClass(cls): del cls.data - - def setUp(self): - pass - - def tearDown(self): - pass + def setUp(self): pass + def tearDown(self): pass def test_cdl_doji_ext(self): diff --git a/tests/test_indicator_momentum_ext.py b/tests/test_ext_indicator_momentum.py similarity index 96% rename from tests/test_indicator_momentum_ext.py rename to tests/test_ext_indicator_momentum.py index 5369479..cb463a4 100644 --- a/tests/test_indicator_momentum_ext.py +++ b/tests/test_ext_indicator_momentum.py @@ -1,7 +1,7 @@ from .config import sample_data from .context import pandas_ta -from unittest import TestCase +from unittest import skip, TestCase from pandas import DataFrame @@ -15,12 +15,8 @@ class TestMomentumExtension(TestCase): def tearDownClass(cls): del cls.data - - def setUp(self): - pass - - def tearDown(self): - pass + def setUp(self): pass + def tearDown(self): pass def test_ao_ext(self): @@ -53,6 +49,11 @@ class TestMomentumExtension(TestCase): self.assertIsInstance(self.data, DataFrame) self.assertEqual(self.data.columns[-1], "CCI_14_0.015") + def test_cfo_ext(self): + self.data.ta.cfo(append=True) + self.assertIsInstance(self.data, DataFrame) + self.assertEqual(self.data.columns[-1], "CFO_9") + def test_cg_ext(self): self.data.ta.cg(append=True) self.assertIsInstance(self.data, DataFrame) diff --git a/tests/test_indicator_overlap_ext.py b/tests/test_ext_indicator_overlap_ext.py similarity index 98% rename from tests/test_indicator_overlap_ext.py rename to tests/test_ext_indicator_overlap_ext.py index 337ee30..7da8341 100644 --- a/tests/test_indicator_overlap_ext.py +++ b/tests/test_ext_indicator_overlap_ext.py @@ -1,7 +1,7 @@ from .config import sample_data from .context import pandas_ta -from unittest import TestCase +from unittest import skip, TestCase from pandas import DataFrame @@ -15,12 +15,8 @@ class TestOverlapExtension(TestCase): def tearDownClass(cls): del cls.data - - def setUp(self): - pass - - def tearDown(self): - pass + def setUp(self): pass + def tearDown(self): pass def test_dema_ext(self): diff --git a/tests/test_indicator_performance_ext.py b/tests/test_ext_indicator_performance.py similarity index 99% rename from tests/test_indicator_performance_ext.py rename to tests/test_ext_indicator_performance.py index d1abaad..bbabc74 100644 --- a/tests/test_indicator_performance_ext.py +++ b/tests/test_ext_indicator_performance.py @@ -17,7 +17,6 @@ class TestPerformaceExtension(TestCase): del cls.data del cls.islong - def setUp(self): pass def tearDown(self): pass diff --git a/tests/test_indicator_statistics_ext.py b/tests/test_ext_indicator_statistics.py similarity index 96% rename from tests/test_indicator_statistics_ext.py rename to tests/test_ext_indicator_statistics.py index 33b33ab..f0f5013 100644 --- a/tests/test_indicator_statistics_ext.py +++ b/tests/test_ext_indicator_statistics.py @@ -15,12 +15,8 @@ class TestStatisticsExtension(TestCase): def tearDownClass(cls): del cls.data - - def setUp(self): - pass - - def tearDown(self): - pass + def setUp(self): pass + def tearDown(self): pass def test_entropy_ext(self): diff --git a/tests/test_indicator_trend_ext.py b/tests/test_ext_indicator_trend.py similarity index 88% rename from tests/test_indicator_trend_ext.py rename to tests/test_ext_indicator_trend.py index 83ddcb0..b38c392 100644 --- a/tests/test_indicator_trend_ext.py +++ b/tests/test_ext_indicator_trend.py @@ -15,12 +15,8 @@ class TestTrendExtension(TestCase): def tearDownClass(cls): del cls.data - - def setUp(self): - pass - - def tearDown(self): - pass + def setUp(self): pass + def tearDown(self): pass def test_adx_ext(self): @@ -48,6 +44,15 @@ class TestTrendExtension(TestCase): self.assertIsInstance(self.data, DataFrame) self.assertEqual(self.data.columns[-1], "CKSPs_10_1_9") + def test_decay_ext(self): + self.data.ta.decay(append=True) + self.assertIsInstance(self.data, DataFrame) + self.assertEqual(self.data.columns[-1], "LDECAY_5") + + self.data.ta.decay(mode="exp", append=True) + self.assertIsInstance(self.data, DataFrame) + self.assertEqual(self.data.columns[-1], "EXPDECAY_5") + def test_decreasing_ext(self): self.data.ta.decreasing(append=True) self.assertIsInstance(self.data, DataFrame) @@ -63,17 +68,12 @@ class TestTrendExtension(TestCase): self.assertIsInstance(self.data, DataFrame) self.assertEqual(self.data.columns[-1], "INC_1") - def test_linear_decay_ext(self): - self.data.ta.linear_decay(append=True) - self.assertIsInstance(self.data, DataFrame) - self.assertEqual(self.data.columns[-1], "LDECAY_5") - def test_long_run_ext(self): # Nothing passed, return self self.assertEqual(self.data.ta.long_run(append=True).shape, self.data.shape) - fast = self.data.ta.ema("close", 8) - slow = self.data.ta.ema("close", 21) + fast = self.data.ta.ema(8) + slow = self.data.ta.ema(21) self.data.ta.long_run(fast, slow, append=True) self.assertIsInstance(self.data, DataFrame) self.assertEqual(self.data.columns[-1], "LR_2") @@ -92,8 +92,8 @@ class TestTrendExtension(TestCase): # Nothing passed, return self self.assertEqual(self.data.ta.short_run(append=True).shape, self.data.shape) - fast = self.data.ta.ema("close", 8) - slow = self.data.ta.ema("close", 21) + fast = self.data.ta.ema(8) + slow = self.data.ta.ema(21) self.data.ta.short_run(fast, slow, append=True) self.assertIsInstance(self.data, DataFrame) self.assertEqual(self.data.columns[-1], "SR_2") diff --git a/tests/test_indicator_volatility_ext.py b/tests/test_ext_indicator_volatility.py similarity index 99% rename from tests/test_indicator_volatility_ext.py rename to tests/test_ext_indicator_volatility.py index 061e29b..ad09b10 100644 --- a/tests/test_indicator_volatility_ext.py +++ b/tests/test_ext_indicator_volatility.py @@ -15,7 +15,6 @@ class TestVolatilityExtension(TestCase): def tearDownClass(cls): del cls.data - def setUp(self): pass def tearDown(self): pass diff --git a/tests/test_indicator_volume_ext.py b/tests/test_ext_indicator_volume.py similarity index 99% rename from tests/test_indicator_volume_ext.py rename to tests/test_ext_indicator_volume.py index e3666cd..9b0194e 100644 --- a/tests/test_indicator_volume_ext.py +++ b/tests/test_ext_indicator_volume.py @@ -17,7 +17,6 @@ class TestVolumeExtension(TestCase): del cls.data del cls.open - def setUp(self): pass def tearDown(self): pass diff --git a/tests/test_indicator_momentum.py b/tests/test_indicator_momentum.py index 0efc501..a914360 100644 --- a/tests/test_indicator_momentum.py +++ b/tests/test_indicator_momentum.py @@ -119,6 +119,11 @@ class TestMomentum(TestCase): except Exception as ex: error_analysis(result, CORRELATION, ex) + def test_cfo(self): + result = pandas_ta.cfo(self.close) + self.assertIsInstance(result, Series) + self.assertEqual(result.name, "CFO_9") + def test_cg(self): result = pandas_ta.cg(self.close) self.assertIsInstance(result, Series) diff --git a/tests/test_indicator_trend.py b/tests/test_indicator_trend.py index 47537bd..7ee35da 100644 --- a/tests/test_indicator_trend.py +++ b/tests/test_indicator_trend.py @@ -99,6 +99,15 @@ class TestTrend(TestCase): self.assertIsInstance(result, DataFrame) self.assertEqual(result.name, "CKSP_10_1_9") + def test_decay(self): + result = pandas_ta.decay(self.close) + self.assertIsInstance(result, Series) + self.assertEqual(result.name, "LDECAY_5") + + result = pandas_ta.decay(self.close, mode="exp") + self.assertIsInstance(result, Series) + self.assertEqual(result.name, "EXPDECAY_5") + def test_decreasing(self): result = pandas_ta.decreasing(self.close) self.assertIsInstance(result, Series) @@ -114,11 +123,6 @@ class TestTrend(TestCase): self.assertIsInstance(result, Series) self.assertEqual(result.name, "INC_1") - def test_linear_decay(self): - result = pandas_ta.linear_decay(self.close) - self.assertIsInstance(result, Series) - self.assertEqual(result.name, "LDECAY_5") - def test_long_run(self): result = pandas_ta.long_run(self.close, self.open) self.assertIsInstance(result, Series) diff --git a/tests/test_strategy.py b/tests/test_strategy.py index a3bede2..53a01d8 100644 --- a/tests/test_strategy.py +++ b/tests/test_strategy.py @@ -1,190 +1,183 @@ +# Must run seperately from the rest of the tests +# in order to successfully run +from multiprocessing import cpu_count +from time import perf_counter + from .config import sample_data from .context import pandas_ta from unittest import skip, TestCase from pandas import DataFrame -# Must run seperately from the rest of the tests -# in order to successfully run +from pandas_ta.utils import final_time + +cores = 4 +cumulative = False +speed_table = False +strategy_timed = False +timed = True +verbose = False class TestStrategyMethods(TestCase): @classmethod def setUpClass(cls): cls.data = sample_data + cls.data.ta.cores = cores + cls.speed_test = DataFrame() @classmethod def tearDownClass(cls): + cls.speed_test = cls.speed_test.T + cls.speed_test.index.name = "Test" + cls.speed_test.columns = ["Columns", "Seconds"] + if cumulative: cls.speed_test["Cum. Seconds"] = cls.speed_test["Seconds"].cumsum() + if speed_table: cls.speed_test.to_csv("tests/speed_test.csv") + if timed: + print(f"[i] Cores: {cls.data.ta.cores}") + print(f"[i] Total Datapoints: {cls.data.shape[0]}") + print(cls.speed_test) del cls.data - def setUp(self): pass - def tearDown(self): pass + def setUp(self): + self.added_cols = 0 + self.category = "" + self.init_cols = len(self.data.columns) + self.time_diff = 0 + self.result = None + if verbose: print() + if timed: self.stime = perf_counter() + + def tearDown(self): + if timed: self.time_diff = perf_counter() - self.stime + self.added_cols = len(self.data.columns) - self.init_cols + self.assertGreaterEqual(self.added_cols, 1) + + self.result = self.data[self.data.columns[-self.added_cols:]] + self.assertIsInstance(self.result, DataFrame) + self.data.drop(columns=self.result.columns, axis=1, inplace=True) + + self.speed_test[self.category] = [self.added_cols, self.time_diff] + # @skip def test_all(self): - init_cols = len(self.data.columns) - self.data.ta.strategy(verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertGreaterEqual(added_cols, 1) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) + self.category = "All" + self.data.ta.strategy(verbose=verbose, timed=strategy_timed) + @skip def test_all_strategy(self): - init_cols = len(self.data.columns) - self.data.ta.strategy(pandas_ta.AllStrategy, verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertGreaterEqual(added_cols, 1) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) + self.data.ta.strategy(pandas_ta.AllStrategy, verbose=verbose, timed=strategy_timed) + @skip def test_all_name_strategy(self): - init_cols = len(self.data.columns) - self.data.ta.strategy("All", verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertGreaterEqual(added_cols, 1) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) + self.category = "All" + self.data.ta.strategy(self.category, verbose=verbose, timed=strategy_timed) + # @skip def test_candles_category(self): - init_cols = len(self.data.columns) - self.data.ta.strategy("Candles", verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertGreaterEqual(added_cols, 1) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) + self.category = "Candles" + self.data.ta.strategy(self.category, verbose=verbose, timed=strategy_timed) + # @skip def test_common(self): - init_cols = len(self.data.columns) - self.data.ta.strategy(pandas_ta.CommonStrategy, verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertGreaterEqual(added_cols, 1) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) + self.category = "Common" + self.data.ta.strategy(pandas_ta.CommonStrategy, verbose=verbose, timed=strategy_timed) + # @skip def test_custom_a(self): + self.category = "Custom A" + momo_bands_sma_ta = [ - {"kind":"sma", "length": 50}, # 1 - {"kind":"sma", "length": 200}, # 1 - {"kind":"bbands", "length": 20}, # 3 - {"kind":"macd"}, # 3 - {"kind":"rsi"}, # 1 - {"kind":"log_return", "cumulative": True}, # 1 - {"kind":"sma", "close": "CUMLOGRET_1", "length": 5, "suffix": "CUMLOGRET"}, # 1 + {"kind": "rsi"}, # 1 + {"kind": "macd"}, # 3 + {"kind": "sma", "length": 50}, # 1 + {"kind": "sma", "length": 200}, # 1 + {"kind": "bbands", "length": 20}, # 3 + {"kind": "log_return", "cumulative": True}, # 1 + {"kind": "ema", "close": "CUMLOGRET_1", "length": 5, "suffix": "CLR"} ] custom = pandas_ta.Strategy( - "Momo, Bands and SMAs and Cumulative Log Returns", # name + "Commons with Cumulative Log Return EMA Chain", # name momo_bands_sma_ta, # ta - "MACD and RSI Momo with BBANDS and SMAs 50 & 200 and Cumulative Log Returns" # description + "Common indicators with specific lengths and a chained indicator" # description ) + self.data.ta.strategy(custom, verbose=verbose, timed=strategy_timed) - init_cols = len(self.data.columns) - self.data.ta.strategy(custom, verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertEqual(added_cols, 11) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) - - @skip + # @skip def test_custom_args_tuple(self): + self.category = "Custom B" + custom_args_ta = [ - {"kind":"fisher", "params": (13, 7)}, - {"kind":"macd", "params": (9, 19, 7)}, {"kind":"ema", "params": (5,)}, - {"kind":"linreg", "close": "EMA_5", "length": 8, "prefix": "EMA_5"} + {"kind":"fisher", "params": (13, 7)}, ] custom = pandas_ta.Strategy( "Custom Args Tuple", custom_args_ta, - "Allow for easy filling in indicator arguments without naming them" + "Allow for easy filling in indicator arguments by argument placement." ) + self.data.ta.strategy(custom, verbose=verbose, timed=strategy_timed) - init_cols = len(self.data.columns) - self.data.ta.strategy(custom, verbose=False) - added_cols = len(self.data.columns) - init_cols + def test_custom_col_names_tuple(self): + self.category = "Custom C" - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) + custom_args_ta = [ + {"kind":"bbands", "col_names": ("LB", "MB", "UB")} + ] + custom = pandas_ta.Strategy( + "Custom Col Numbers Tuple", custom_args_ta, + "Allow for easy renaming of resultant columns" + ) + self.data.ta.strategy(custom, verbose=verbose, timed=strategy_timed) + + # @skip + def test_custom_col_numbers_tuple(self): + self.category = "Custom D" + + custom_args_ta = [ + {"kind":"macd", "col_numbers": (1,)} + ] + + custom = pandas_ta.Strategy( + "Custom Col Numbers Tuple", custom_args_ta, + "Allow for easy selection of resultant columns" + ) + self.data.ta.strategy(custom, verbose=verbose, timed=strategy_timed) + + # @skip def test_momentum_category(self): - init_cols = len(self.data.columns) - self.data.ta.strategy("Momentum", verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertGreaterEqual(added_cols, 1) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) + self.category = "Momentum" + self.data.ta.strategy(self.category, verbose=verbose, timed=strategy_timed) + # @skip def test_overlap_category(self): - init_cols = len(self.data.columns) - self.data.ta.strategy("Overlap", verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertGreaterEqual(added_cols, 1) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) + self.category = "Overlap" + self.data.ta.strategy(self.category, verbose=verbose, timed=strategy_timed) + # @skip def test_performance_category(self): - init_cols = len(self.data.columns) - self.data.ta.strategy("Performance", verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertGreaterEqual(added_cols, 1) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) + self.category = "Performance" + self.data.ta.strategy(self.category, verbose=verbose, timed=strategy_timed) + # @skip def test_statistics_category(self): - init_cols = len(self.data.columns) - self.data.ta.strategy("Statistics", verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertGreaterEqual(added_cols, 1) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) + self.category = "Statistics" + self.data.ta.strategy(self.category, verbose=verbose, timed=strategy_timed) + # @skip def test_trend_category(self): - init_cols = len(self.data.columns) - self.data.ta.strategy("Trend", verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertGreaterEqual(added_cols, 1) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) + self.category = "Trend" + self.data.ta.strategy(self.category, verbose=verbose, timed=strategy_timed) + # @skip def test_volatility_category(self): - init_cols = len(self.data.columns) - self.data.ta.strategy("Volatility", verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertGreaterEqual(added_cols, 1) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) + self.category = "Volatility" + self.data.ta.strategy(self.category, verbose=verbose, timed=strategy_timed) + # @skip def test_volume_category(self): - init_cols = len(self.data.columns) - self.data.ta.strategy("Volume", verbose=False) - added_cols = len(self.data.columns) - init_cols - self.assertGreaterEqual(added_cols, 1) - - result = self.data[self.data.columns[-added_cols:]] - self.assertIsInstance(result, DataFrame) - self.data.drop(columns=result.columns, axis=1, inplace=True) \ No newline at end of file + self.category = "Volume" + self.data.ta.strategy(self.category, verbose=verbose, timed=strategy_timed) \ No newline at end of file diff --git a/tests/test_utils.py b/tests/test_utils.py index 2f0e4cc..037a72e 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -1,7 +1,7 @@ from .config import sample_data from .context import pandas_ta -from unittest import TestCase +from unittest import skip, TestCase from unittest.mock import patch import numpy as np @@ -9,11 +9,11 @@ import numpy.testing as npt from pandas import DataFrame, Series data = { - 'zero': [0, 0], - 'a': [0, 1], - 'b': [1, 0], - 'c': [1, 1], - 'crossed': [0, 1], + "zero": [0, 0], + "a": [0, 1], + "b": [1, 0], + "c": [1, 1], + "crossed": [0, 1], } class TestUtilities(TestCase): @@ -35,80 +35,81 @@ class TestUtilities(TestCase): def test__add_prefix_suffix(self): result = self.data.ta.hl2(append=False, prefix="pre") - self.assertEqual(result.name, 'pre_HL2') + self.assertEqual(result.name, "pre_HL2") result = self.data.ta.hl2(append=False, suffix="suf") - self.assertEqual(result.name, 'HL2_suf') + self.assertEqual(result.name, "HL2_suf") result = self.data.ta.hl2(append=False, prefix="pre", suffix="suf") - self.assertEqual(result.name, 'pre_HL2_suf') + self.assertEqual(result.name, "pre_HL2_suf") result = self.data.ta.hl2(append=False, prefix=1, suffix=2) - self.assertEqual(result.name, '1_HL2_2') + self.assertEqual(result.name, "1_HL2_2") result = self.data.ta.macd(append=False, prefix="pre", suffix="suf") for col in result.columns: - self.assertTrue(col.startswith('pre_') and col.endswith('_suf')) + self.assertTrue(col.startswith("pre_") and col.endswith("_suf")) + @skip def test__above_below(self): - result = self.utils._above_below(self.crosseddf['a'], self.crosseddf['zero'], above=True) + result = self.utils._above_below(self.crosseddf["a"], self.crosseddf["zero"], above=True) self.assertIsInstance(result, Series) - self.assertEqual(result.name, 'a_A_zero') - npt.assert_array_equal(result, self.crosseddf['c']) + self.assertEqual(result.name, "a_A_zero") + npt.assert_array_equal(result, self.crosseddf["c"]) - result = self.utils._above_below(self.crosseddf['a'], self.crosseddf['zero'], above=False) + result = self.utils._above_below(self.crosseddf["a"], self.crosseddf["zero"], above=False) self.assertIsInstance(result, Series) - self.assertEqual(result.name, 'a_B_zero') - npt.assert_array_equal(result, self.crosseddf['b']) + self.assertEqual(result.name, "a_B_zero") + npt.assert_array_equal(result, self.crosseddf["b"]) - result = self.utils._above_below(self.crosseddf['c'], self.crosseddf['zero'], above=True) + result = self.utils._above_below(self.crosseddf["c"], self.crosseddf["zero"], above=True) self.assertIsInstance(result, Series) - self.assertEqual(result.name, 'c_A_zero') - npt.assert_array_equal(result, self.crosseddf['c']) + self.assertEqual(result.name, "c_A_zero") + npt.assert_array_equal(result, self.crosseddf["c"]) - result = self.utils._above_below(self.crosseddf['c'], self.crosseddf['zero'], above=False) + result = self.utils._above_below(self.crosseddf["c"], self.crosseddf["zero"], above=False) self.assertIsInstance(result, Series) - self.assertEqual(result.name, 'c_B_zero') - npt.assert_array_equal(result, self.crosseddf['zero']) + self.assertEqual(result.name, "c_B_zero") + npt.assert_array_equal(result, self.crosseddf["zero"]) def test_above(self): - result = self.utils.above(self.crosseddf['a'], self.crosseddf['zero']) + result = self.utils.above(self.crosseddf["a"], self.crosseddf["zero"]) self.assertIsInstance(result, Series) - self.assertEqual(result.name, 'a_A_zero') - npt.assert_array_equal(result, self.crosseddf['c']) + self.assertEqual(result.name, "a_A_zero") + npt.assert_array_equal(result, self.crosseddf["c"]) - result = self.utils.above(self.crosseddf['zero'], self.crosseddf['a']) + result = self.utils.above(self.crosseddf["zero"], self.crosseddf["a"]) self.assertIsInstance(result, Series) - self.assertEqual(result.name, 'zero_A_a') - npt.assert_array_equal(result, self.crosseddf['b']) + self.assertEqual(result.name, "zero_A_a") + npt.assert_array_equal(result, self.crosseddf["b"]) def test_above_value(self): - result = self.utils.above_value(self.crosseddf['a'], 0) + result = self.utils.above_value(self.crosseddf["a"], 0) self.assertIsInstance(result, Series) - self.assertEqual(result.name, 'a_A_0') - npt.assert_array_equal(result, self.crosseddf['c']) + self.assertEqual(result.name, "a_A_0") + npt.assert_array_equal(result, self.crosseddf["c"]) - result = self.utils.above_value(self.crosseddf['a'], self.crosseddf['zero']) + result = self.utils.above_value(self.crosseddf["a"], self.crosseddf["zero"]) self.assertIsNone(result) def test_below(self): - result = self.utils.below(self.crosseddf['zero'], self.crosseddf['a']) + result = self.utils.below(self.crosseddf["zero"], self.crosseddf["a"]) self.assertIsInstance(result, Series) - self.assertEqual(result.name, 'zero_B_a') - npt.assert_array_equal(result, self.crosseddf['c']) + self.assertEqual(result.name, "zero_B_a") + npt.assert_array_equal(result, self.crosseddf["c"]) - result = self.utils.below(self.crosseddf['zero'], self.crosseddf['a']) + result = self.utils.below(self.crosseddf["zero"], self.crosseddf["a"]) self.assertIsInstance(result, Series) - self.assertEqual(result.name, 'zero_B_a') - npt.assert_array_equal(result, self.crosseddf['c']) + self.assertEqual(result.name, "zero_B_a") + npt.assert_array_equal(result, self.crosseddf["c"]) def test_below_value(self): - result = self.utils.below_value(self.crosseddf['a'], 0) + result = self.utils.below_value(self.crosseddf["a"], 0) self.assertIsInstance(result, Series) - self.assertEqual(result.name, 'a_B_0') - npt.assert_array_equal(result, self.crosseddf['b']) + self.assertEqual(result.name, "a_B_0") + npt.assert_array_equal(result, self.crosseddf["b"]) - result = self.utils.below_value(self.crosseddf['a'], self.crosseddf['zero']) + result = self.utils.below_value(self.crosseddf["a"], self.crosseddf["zero"]) self.assertIsNone(result) def test_combination(self): @@ -121,18 +122,18 @@ class TestUtilities(TestCase): self.assertEqual(self.utils.combination(n=10, r=4, repetition=True), 715) def test_cross_above(self): - result = self.utils.cross(self.crosseddf['a'], self.crosseddf['b']) + result = self.utils.cross(self.crosseddf["a"], self.crosseddf["b"]) self.assertIsInstance(result, Series) - npt.assert_array_equal(result, self.crosseddf['crossed']) + npt.assert_array_equal(result, self.crosseddf["crossed"]) - result = self.utils.cross(self.crosseddf['a'], self.crosseddf['b'], above=True) + result = self.utils.cross(self.crosseddf["a"], self.crosseddf["b"], above=True) self.assertIsInstance(result, Series) - npt.assert_array_equal(result, self.crosseddf['crossed']) + npt.assert_array_equal(result, self.crosseddf["crossed"]) def test_cross_below(self): - result = self.utils.cross(self.crosseddf['b'], self.crosseddf['a'], above=False) + result = self.utils.cross(self.crosseddf["b"], self.crosseddf["a"], above=False) self.assertIsInstance(result, Series) - npt.assert_array_equal(result, self.crosseddf['crossed']) + npt.assert_array_equal(result, self.crosseddf["crossed"]) def test_fibonacci(self): self.assertIs(type(self.utils.fibonacci(zero=True, weighted=False)), np.ndarray) @@ -154,6 +155,25 @@ class TestUtilities(TestCase): npt.assert_allclose(self.utils.fibonacci(n=5, zero=True, weighted=True), np.array([0, 1/12, 1/12, 1/6, 1/4, 5/12])) npt.assert_allclose(self.utils.fibonacci(n=5, zero=False, weighted=True), np.array([1/12, 1/12, 1/6, 1/4, 5/12])) + def test_get_time(self): + result = self.utils.get_time() + result = self.utils.get_time("NZSX") + result = self.utils.get_time("SSE", to_string=True) + self.assertEqual(self.utils.EXCHANGE_TZ["NYSE"], -4) + self.assertIsInstance(result, str) + + def test_linear_regression(self): + x = Series([1, 2, 3, 4, 5]) + y = Series([1.8, 2.1, 2.7, 3.2, 4]) + + result = self.utils.linear_regression(x, y) + self.assertIsInstance(result, dict) + self.assertIsInstance(result["a"], float) + self.assertIsInstance(result["b"], float) + self.assertIsInstance(result["r"], float) + self.assertIsInstance(result["t"], float) + self.assertIsInstance(result["line"], Series) + def test_pascals_triangle(self): self.assertIsNone(self.utils.pascals_triangle(inverse=True), None) @@ -198,22 +218,17 @@ class TestUtilities(TestCase): self.assertNotEqual(self.utils.zero(1), 0) def test_get_drift(self): - for s in [0, None, '', [], {}]: + for s in [0, None, "", [], {}]: self.assertIsInstance(self.utils.get_drift(s), int) self.assertEqual(self.utils.get_drift(0), 1) self.assertEqual(self.utils.get_drift(1.1), 1) - self.assertEqual(self.utils.get_drift(-1.1), -1) - self.assertEqual(self.utils.get_drift(1.999999999999999), 1) - self.assertEqual(self.utils.get_drift(1.9999999999999999), 2) - self.assertEqual(self.utils.get_drift(-10), -10) + self.assertEqual(self.utils.get_drift(-1.1), 1) def test_get_offset(self): - for s in [0, None, '', [], {}]: + for s in [0, None, "", [], {}]: self.assertIsInstance(self.utils.get_offset(s), int) self.assertEqual(self.utils.get_offset(0), 0) - self.assertEqual(self.utils.get_offset(1.1), 1) - self.assertEqual(self.utils.get_offset(-1.1), -1) - self.assertEqual(self.utils.get_offset(1.999999999999999), 1) - self.assertEqual(self.utils.get_offset(1.9999999999999999), 2) \ No newline at end of file + self.assertEqual(self.utils.get_offset(-1.1), 0) + self.assertEqual(self.utils.get_offset(1), 1) \ No newline at end of file