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DOC: mean_reversion_simple algo added
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@@ -6,8 +6,10 @@ This section documents a small number of example algorithms to complement the
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beginner tutorial, and show how other trading algorithms can be implemented
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using Catalyst:
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Buy and Hodl
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~~~~~~~~~~~~
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.. _buy_and_hodl:
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Buy and Hodl Algorithm
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~~~~~~~~~~~~~~~~~~~~~~
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source: `examples/buy_and_hodl.py <https://github.com/enigmampc/catalyst/blob/master/catalyst/examples/buy_and_hodl.py>`_
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@@ -170,3 +172,273 @@ one day prior to the current date.
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plt.gcf().set_size_inches(18, 8)
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plt.show()
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.. _mean_reversion:
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Mean Reversion Algorithm
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~~~~~~~~~~~~~~~~~~~~~~~~
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source: `examples/mean_reversion_simple.py <https://github.com/enigmampc/catalyst/blob/master/catalyst/examples/mean_reversion_simple.py>`_
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This algorithm is based on a simple momentum strategy. When the cryptoasset goes
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up quickly, we're going to buy; when it goes down quickly, we're going to sell.
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Hopefully, we'll ride the waves.
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We are choosing to run this trading algorithm with the ``neo_usd`` currency pair
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on the ``Bitfinex`` exchange. Thus, first ingest the historical pricing data
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that we need, with minute resolution:
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.. code-block:: bash
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catalyst ingest-exchange -x bitfinex -f minute -i neo_usd
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To run this algorithm, we are opting for the Python interpreter, instead of the
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command line (CLI). All of the parameters for the simulation are specified in
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lines 218-245, so in order to run the algorithm we just type:
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.. code-block:: bash
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python mean_reversion_simple.py
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.. code-block:: python
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import pandas as pd
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import talib
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from logbook import Logger
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from catalyst import run_algorithm
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from catalyst.api import symbol, record, order_target_percent, get_open_orders
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from catalyst.exchange.stats_utils import extract_transactions
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# We give a name to the algorithm which Catalyst will use to persist its state.
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# In this example, Catalyst will create the `.catalyst/data/live_algos`
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# directory. If we stop and start the algorithm, Catalyst will resume its
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# state using the files included in the folder.
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NAMESPACE = 'mean_reversion_simple'
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log = Logger(NAMESPACE)
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# To run an algorithm in Catalyst, you need two functions: initialize and
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# handle_data.
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def initialize(context):
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# This initialize function sets any data or variables that you'll use in
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# your algorithm. For instance, you'll want to define the trading pair (or
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# trading pairs) you want to backtest. You'll also want to define any
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# parameters or values you're going to use.
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# In our example, we're looking at Ether in USD Tether.
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context.neo_usd = symbol('neo_usd')
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context.base_price = None
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context.current_day = None
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def handle_data(context, data):
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# This handle_data function is where the real work is done. Our data is
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# minute-level tick data, and each minute is called a frame. This function
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# runs on each frame of the data.
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# We flag the first period of each day.
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# Since cryptocurrencies trade 24/7 the `before_trading_starts` handle
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# would only execute once. This method works with minute and daily
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# frequencies.
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today = data.current_dt.floor('1D')
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if today != context.current_day:
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context.traded_today = False
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context.current_day = today
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# We're computing the volume-weighted-average-price of the security
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# defined above, in the context.neo_usd variable. For this example, we're
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# using three bars on the 15 min bars.
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# The frequency attribute determine the bar size. We use this convention
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# for the frequency alias:
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# http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases
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prices = data.history(
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context.neo_usd,
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fields='close',
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bar_count=50,
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frequency='15T'
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)
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# Ta-lib calculates various technical indicator based on price and
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# volume arrays.
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# In this example, we are comp
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rsi = talib.RSI(prices.values, timeperiod=14)
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# We need a variable for the current price of the security to compare to
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# the average. Since we are requesting two fields, data.current()
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# returns a DataFrame with
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current = data.current(context.neo_usd, fields=['close', 'volume'])
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price = current['close']
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# If base_price is not set, we use the current value. This is the
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# price at the first bar which we reference to calculate price_change.
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if context.base_price is None:
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context.base_price = price
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price_change = (price - context.base_price) / context.base_price
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cash = context.portfolio.cash
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# Now that we've collected all current data for this frame, we use
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# the record() method to save it. This data will be available as
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# a parameter of the analyze() function for further analysis.
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record(
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price=price,
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volume=current['volume'],
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price_change=price_change,
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rsi=rsi[-1],
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cash=cash
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)
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# We are trying to avoid over-trading by limiting our trades to
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# one per day.
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if context.traded_today:
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return
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# Since we are using limit orders, some orders may not execute immediately
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# we wait until all orders are executed before considering more trades.
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orders = get_open_orders(context.neo_usd)
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if len(orders) > 0:
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return
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# Exit if we cannot trade
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if not data.can_trade(context.neo_usd):
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return
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# Another powerful built-in feature of the Catalyst backtester is the
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# portfolio object. The portfolio object tracks your positions, cash,
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# cost basis of specific holdings, and more. In this line, we calculate
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# how long or short our position is at this minute.
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pos_amount = context.portfolio.positions[context.neo_usd].amount
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if rsi[-1] <= 30 and pos_amount == 0:
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log.info(
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'{}: buying - price: {}, rsi: {}'.format(
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data.current_dt, price, rsi[-1]
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)
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)
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order_target_percent(context.neo_usd, 1)
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context.traded_today = True
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elif rsi[-1] >= 80 and pos_amount > 0:
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log.info(
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'{}: selling - price: {}, rsi: {}'.format(
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data.current_dt, price, rsi[-1]
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)
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)
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order_target_percent(context.neo_usd, 0)
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context.traded_today = True
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def analyze(context=None, perf=None):
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import matplotlib.pyplot as plt
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# The base currency of the algo exchange
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base_currency = context.exchanges.values()[0].base_currency.upper()
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# Plot the portfolio value over time.
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ax1 = plt.subplot(611)
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perf.loc[:, 'portfolio_value'].plot(ax=ax1)
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ax1.set_ylabel('Portfolio Value ({})'.format(base_currency))
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# Plot the price increase or decrease over time.
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ax2 = plt.subplot(612, sharex=ax1)
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perf.loc[:, 'price'].plot(ax=ax2, label='Price')
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ax2.set_ylabel('{asset} ({base})'.format(
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asset=context.neo_usd.symbol, base=base_currency
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))
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transaction_df = extract_transactions(perf)
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if not transaction_df.empty:
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buy_df = transaction_df[transaction_df['amount'] > 0]
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sell_df = transaction_df[transaction_df['amount'] < 0]
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ax2.scatter(
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buy_df.index.to_pydatetime(),
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perf.loc[buy_df.index, 'price'],
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marker='^',
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s=100,
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c='green',
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label=''
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)
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ax2.scatter(
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sell_df.index.to_pydatetime(),
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perf.loc[sell_df.index, 'price'],
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marker='v',
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s=100,
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c='red',
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label=''
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)
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ax4 = plt.subplot(613, sharex=ax1)
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perf.loc[:, 'cash'].plot(
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ax=ax4, label='Base Currency ({})'.format(base_currency)
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)
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ax4.set_ylabel('Cash ({})'.format(base_currency))
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perf['algorithm'] = perf.loc[:, 'algorithm_period_return']
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ax5 = plt.subplot(614, sharex=ax1)
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perf.loc[:, ['algorithm', 'price_change']].plot(ax=ax5)
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ax5.set_ylabel('Percent Change')
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ax6 = plt.subplot(615, sharex=ax1)
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perf.loc[:, 'rsi'].plot(ax=ax6, label='RSI')
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ax6.axhline(70, color='darkgoldenrod')
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ax6.axhline(30, color='darkgoldenrod')
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if not transaction_df.empty:
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ax6.scatter(
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buy_df.index.to_pydatetime(),
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perf.loc[buy_df.index, 'rsi'],
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marker='^',
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s=100,
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c='green',
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label=''
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)
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ax6.scatter(
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sell_df.index.to_pydatetime(),
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perf.loc[sell_df.index, 'rsi'],
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marker='v',
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s=100,
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c='red',
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label=''
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)
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plt.legend(loc=3)
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# Show the plot.
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plt.gcf().set_size_inches(18, 8)
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plt.show()
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pass
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if __name__ == '__main__':
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# The execution mode: backtest or live
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MODE = 'backtest'
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if MODE == 'backtest':
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# catalyst run -f catalyst/examples/mean_reversion_simple.py -x poloniex -s 2017-10-1 -e 2017-11-10 -c usdt -n mean-reversion --data-frequency minute --capital-base 10000
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run_algorithm(
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capital_base=10000,
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data_frequency='minute',
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initialize=initialize,
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handle_data=handle_data,
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analyze=analyze,
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exchange_name='bitfinex',
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algo_namespace=NAMESPACE,
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base_currency='usd',
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start=pd.to_datetime('2017-10-1', utc=True),
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end=pd.to_datetime('2017-11-10', utc=True),
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)
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elif MODE == 'live':
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run_algorithm(
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initialize=initialize,
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handle_data=handle_data,
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analyze=analyze,
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exchange_name='bitfinex',
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live=True,
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algo_namespace=NAMESPACE,
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base_currency='usd',
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live_graph=True
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)
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+2
-1
@@ -120,7 +120,8 @@
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</li>
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<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
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<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
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<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
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<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
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</ul>
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</li>
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<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
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@@ -122,7 +122,13 @@
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</li>
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<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
|
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<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
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</ul>
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</li>
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<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
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||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#output-to-csv-file">Output to CSV file</a></li>
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<li class="toctree-l2"><a class="reference internal" href="utilities.html#extracting-market-data">Extracting market data</a></li>
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</ul>
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</li>
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<li class="toctree-l1"><a class="reference internal" href="videos.html">Videos</a><ul>
|
||||
|
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+7
-1
@@ -120,7 +120,13 @@
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</li>
|
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<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
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</ul>
|
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</li>
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<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#output-to-csv-file">Output to CSV file</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#extracting-market-data">Extracting market data</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="videos.html">Videos</a><ul>
|
||||
|
||||
@@ -122,7 +122,13 @@
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#output-to-csv-file">Output to CSV file</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#extracting-market-data">Extracting market data</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="videos.html">Videos</a><ul>
|
||||
|
||||
+266
-3
@@ -122,7 +122,8 @@
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
|
||||
<li class="toctree-l1 current"><a class="current reference internal" href="">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
|
||||
@@ -242,8 +243,8 @@
|
||||
<p>This section documents a small number of example algorithms to complement the
|
||||
beginner tutorial, and show how other trading algorithms can be implemented
|
||||
using Catalyst:</p>
|
||||
<div class="section" id="buy-and-hodl">
|
||||
<h2>Buy and Hodl<a class="headerlink" href="#buy-and-hodl" title="Permalink to this headline">¶</a></h2>
|
||||
<div class="section" id="buy-and-hodl-algorithm">
|
||||
<span id="buy-and-hodl"></span><h2>Buy and Hodl Algorithm<a class="headerlink" href="#buy-and-hodl-algorithm" title="Permalink to this headline">¶</a></h2>
|
||||
<p>source: <a class="reference external" href="https://github.com/enigmampc/catalyst/blob/master/catalyst/examples/buy_and_hodl.py">examples/buy_and_hodl.py</a></p>
|
||||
<p>First ingest the historical pricing data needed to run this algorithm:</p>
|
||||
<div class="highlight-bash"><div class="highlight"><pre>catalyst ingest-exchange -x poloniex -f daily -i btc_usdt
|
||||
@@ -398,6 +399,268 @@ one day prior to the current date.</p>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="section" id="mean-reversion-algorithm">
|
||||
<span id="mean-reversion"></span><h2>Mean Reversion Algorithm<a class="headerlink" href="#mean-reversion-algorithm" title="Permalink to this headline">¶</a></h2>
|
||||
<p>source: <a class="reference external" href="https://github.com/enigmampc/catalyst/blob/master/catalyst/examples/mean_reversion_simple.py">examples/mean_reversion_simple.py</a></p>
|
||||
<p>This algorithm is based on a simple momentum strategy. When the cryptoasset goes
|
||||
up quickly, we’re going to buy; when it goes down quickly, we’re going to sell.
|
||||
Hopefully, we’ll ride the waves.</p>
|
||||
<p>We are choosing to run this trading algorithm with the <code class="docutils literal"><span class="pre">neo_usd</span></code> currency pair
|
||||
on the <code class="docutils literal"><span class="pre">Bitfinex</span></code> exchange. Thus, first ingest the historical pricing data
|
||||
that we need, with minute resolution:</p>
|
||||
<div class="highlight-bash"><div class="highlight"><pre>catalyst ingest-exchange -x bitfinex -f minute -i neo_usd
|
||||
</pre></div>
|
||||
</div>
|
||||
<p>To run this algorithm, we are opting for the Python interpreter, instead of the
|
||||
command line (CLI). All of the parameters for the simulation are specified in
|
||||
lines 218-245, so in order to run the algorithm we just type:</p>
|
||||
<div class="highlight-bash"><div class="highlight"><pre>python mean_reversion_simple.py
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="highlight-python"><div class="highlight"><pre><span class="kn">import</span> <span class="nn">pandas</span> <span class="kn">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">talib</span>
|
||||
<span class="kn">from</span> <span class="nn">logbook</span> <span class="kn">import</span> <span class="n">Logger</span>
|
||||
|
||||
<span class="kn">from</span> <span class="nn">catalyst</span> <span class="kn">import</span> <span class="n">run_algorithm</span>
|
||||
<span class="kn">from</span> <span class="nn">catalyst.api</span> <span class="kn">import</span> <span class="n">symbol</span><span class="p">,</span> <span class="n">record</span><span class="p">,</span> <span class="n">order_target_percent</span><span class="p">,</span> <span class="n">get_open_orders</span>
|
||||
<span class="kn">from</span> <span class="nn">catalyst.exchange.stats_utils</span> <span class="kn">import</span> <span class="n">extract_transactions</span>
|
||||
|
||||
<span class="c"># We give a name to the algorithm which Catalyst will use to persist its state.</span>
|
||||
<span class="c"># In this example, Catalyst will create the `.catalyst/data/live_algos`</span>
|
||||
<span class="c"># directory. If we stop and start the algorithm, Catalyst will resume its</span>
|
||||
<span class="c"># state using the files included in the folder.</span>
|
||||
<span class="n">NAMESPACE</span> <span class="o">=</span> <span class="s">'mean_reversion_simple'</span>
|
||||
<span class="n">log</span> <span class="o">=</span> <span class="n">Logger</span><span class="p">(</span><span class="n">NAMESPACE</span><span class="p">)</span>
|
||||
|
||||
<span class="c"># To run an algorithm in Catalyst, you need two functions: initialize and</span>
|
||||
<span class="c"># handle_data.</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">initialize</span><span class="p">(</span><span class="n">context</span><span class="p">):</span>
|
||||
<span class="c"># This initialize function sets any data or variables that you'll use in</span>
|
||||
<span class="c"># your algorithm. For instance, you'll want to define the trading pair (or</span>
|
||||
<span class="c"># trading pairs) you want to backtest. You'll also want to define any</span>
|
||||
<span class="c"># parameters or values you're going to use.</span>
|
||||
|
||||
<span class="c"># In our example, we're looking at Ether in USD Tether.</span>
|
||||
<span class="n">context</span><span class="o">.</span><span class="n">neo_usd</span> <span class="o">=</span> <span class="n">symbol</span><span class="p">(</span><span class="s">'neo_usd'</span><span class="p">)</span>
|
||||
<span class="n">context</span><span class="o">.</span><span class="n">base_price</span> <span class="o">=</span> <span class="bp">None</span>
|
||||
<span class="n">context</span><span class="o">.</span><span class="n">current_day</span> <span class="o">=</span> <span class="bp">None</span>
|
||||
|
||||
|
||||
<span class="k">def</span> <span class="nf">handle_data</span><span class="p">(</span><span class="n">context</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
|
||||
<span class="c"># This handle_data function is where the real work is done. Our data is</span>
|
||||
<span class="c"># minute-level tick data, and each minute is called a frame. This function</span>
|
||||
<span class="c"># runs on each frame of the data.</span>
|
||||
|
||||
<span class="c"># We flag the first period of each day.</span>
|
||||
<span class="c"># Since cryptocurrencies trade 24/7 the `before_trading_starts` handle</span>
|
||||
<span class="c"># would only execute once. This method works with minute and daily</span>
|
||||
<span class="c"># frequencies.</span>
|
||||
<span class="n">today</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">current_dt</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="s">'1D'</span><span class="p">)</span>
|
||||
<span class="k">if</span> <span class="n">today</span> <span class="o">!=</span> <span class="n">context</span><span class="o">.</span><span class="n">current_day</span><span class="p">:</span>
|
||||
<span class="n">context</span><span class="o">.</span><span class="n">traded_today</span> <span class="o">=</span> <span class="bp">False</span>
|
||||
<span class="n">context</span><span class="o">.</span><span class="n">current_day</span> <span class="o">=</span> <span class="n">today</span>
|
||||
|
||||
<span class="c"># We're computing the volume-weighted-average-price of the security</span>
|
||||
<span class="c"># defined above, in the context.neo_usd variable. For this example, we're</span>
|
||||
<span class="c"># using three bars on the 15 min bars.</span>
|
||||
|
||||
<span class="c"># The frequency attribute determine the bar size. We use this convention</span>
|
||||
<span class="c"># for the frequency alias:</span>
|
||||
<span class="c"># http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases</span>
|
||||
<span class="n">prices</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">history</span><span class="p">(</span>
|
||||
<span class="n">context</span><span class="o">.</span><span class="n">neo_usd</span><span class="p">,</span>
|
||||
<span class="n">fields</span><span class="o">=</span><span class="s">'close'</span><span class="p">,</span>
|
||||
<span class="n">bar_count</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span>
|
||||
<span class="n">frequency</span><span class="o">=</span><span class="s">'15T'</span>
|
||||
<span class="p">)</span>
|
||||
|
||||
<span class="c"># Ta-lib calculates various technical indicator based on price and</span>
|
||||
<span class="c"># volume arrays.</span>
|
||||
|
||||
<span class="c"># In this example, we are comp</span>
|
||||
<span class="n">rsi</span> <span class="o">=</span> <span class="n">talib</span><span class="o">.</span><span class="n">RSI</span><span class="p">(</span><span class="n">prices</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">timeperiod</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
|
||||
|
||||
<span class="c"># We need a variable for the current price of the security to compare to</span>
|
||||
<span class="c"># the average. Since we are requesting two fields, data.current()</span>
|
||||
<span class="c"># returns a DataFrame with</span>
|
||||
<span class="n">current</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">current</span><span class="p">(</span><span class="n">context</span><span class="o">.</span><span class="n">neo_usd</span><span class="p">,</span> <span class="n">fields</span><span class="o">=</span><span class="p">[</span><span class="s">'close'</span><span class="p">,</span> <span class="s">'volume'</span><span class="p">])</span>
|
||||
<span class="n">price</span> <span class="o">=</span> <span class="n">current</span><span class="p">[</span><span class="s">'close'</span><span class="p">]</span>
|
||||
|
||||
<span class="c"># If base_price is not set, we use the current value. This is the</span>
|
||||
<span class="c"># price at the first bar which we reference to calculate price_change.</span>
|
||||
<span class="k">if</span> <span class="n">context</span><span class="o">.</span><span class="n">base_price</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
|
||||
<span class="n">context</span><span class="o">.</span><span class="n">base_price</span> <span class="o">=</span> <span class="n">price</span>
|
||||
|
||||
<span class="n">price_change</span> <span class="o">=</span> <span class="p">(</span><span class="n">price</span> <span class="o">-</span> <span class="n">context</span><span class="o">.</span><span class="n">base_price</span><span class="p">)</span> <span class="o">/</span> <span class="n">context</span><span class="o">.</span><span class="n">base_price</span>
|
||||
<span class="n">cash</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">portfolio</span><span class="o">.</span><span class="n">cash</span>
|
||||
|
||||
<span class="c"># Now that we've collected all current data for this frame, we use</span>
|
||||
<span class="c"># the record() method to save it. This data will be available as</span>
|
||||
<span class="c"># a parameter of the analyze() function for further analysis.</span>
|
||||
<span class="n">record</span><span class="p">(</span>
|
||||
<span class="n">price</span><span class="o">=</span><span class="n">price</span><span class="p">,</span>
|
||||
<span class="n">volume</span><span class="o">=</span><span class="n">current</span><span class="p">[</span><span class="s">'volume'</span><span class="p">],</span>
|
||||
<span class="n">price_change</span><span class="o">=</span><span class="n">price_change</span><span class="p">,</span>
|
||||
<span class="n">rsi</span><span class="o">=</span><span class="n">rsi</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
|
||||
<span class="n">cash</span><span class="o">=</span><span class="n">cash</span>
|
||||
<span class="p">)</span>
|
||||
|
||||
<span class="c"># We are trying to avoid over-trading by limiting our trades to</span>
|
||||
<span class="c"># one per day.</span>
|
||||
<span class="k">if</span> <span class="n">context</span><span class="o">.</span><span class="n">traded_today</span><span class="p">:</span>
|
||||
<span class="k">return</span>
|
||||
|
||||
<span class="c"># Since we are using limit orders, some orders may not execute immediately</span>
|
||||
<span class="c"># we wait until all orders are executed before considering more trades.</span>
|
||||
<span class="n">orders</span> <span class="o">=</span> <span class="n">get_open_orders</span><span class="p">(</span><span class="n">context</span><span class="o">.</span><span class="n">neo_usd</span><span class="p">)</span>
|
||||
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">orders</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
|
||||
<span class="k">return</span>
|
||||
|
||||
<span class="c"># Exit if we cannot trade</span>
|
||||
<span class="k">if</span> <span class="ow">not</span> <span class="n">data</span><span class="o">.</span><span class="n">can_trade</span><span class="p">(</span><span class="n">context</span><span class="o">.</span><span class="n">neo_usd</span><span class="p">):</span>
|
||||
<span class="k">return</span>
|
||||
|
||||
<span class="c"># Another powerful built-in feature of the Catalyst backtester is the</span>
|
||||
<span class="c"># portfolio object. The portfolio object tracks your positions, cash,</span>
|
||||
<span class="c"># cost basis of specific holdings, and more. In this line, we calculate</span>
|
||||
<span class="c"># how long or short our position is at this minute.</span>
|
||||
<span class="n">pos_amount</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">portfolio</span><span class="o">.</span><span class="n">positions</span><span class="p">[</span><span class="n">context</span><span class="o">.</span><span class="n">neo_usd</span><span class="p">]</span><span class="o">.</span><span class="n">amount</span>
|
||||
|
||||
<span class="k">if</span> <span class="n">rsi</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o"><=</span> <span class="mi">30</span> <span class="ow">and</span> <span class="n">pos_amount</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||||
<span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||||
<span class="s">'{}: buying - price: {}, rsi: {}'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
|
||||
<span class="n">data</span><span class="o">.</span><span class="n">current_dt</span><span class="p">,</span> <span class="n">price</span><span class="p">,</span> <span class="n">rsi</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
|
||||
<span class="p">)</span>
|
||||
<span class="p">)</span>
|
||||
<span class="n">order_target_percent</span><span class="p">(</span><span class="n">context</span><span class="o">.</span><span class="n">neo_usd</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
|
||||
<span class="n">context</span><span class="o">.</span><span class="n">traded_today</span> <span class="o">=</span> <span class="bp">True</span>
|
||||
|
||||
<span class="k">elif</span> <span class="n">rsi</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">>=</span> <span class="mi">80</span> <span class="ow">and</span> <span class="n">pos_amount</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
|
||||
<span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||||
<span class="s">'{}: selling - price: {}, rsi: {}'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
|
||||
<span class="n">data</span><span class="o">.</span><span class="n">current_dt</span><span class="p">,</span> <span class="n">price</span><span class="p">,</span> <span class="n">rsi</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
|
||||
<span class="p">)</span>
|
||||
<span class="p">)</span>
|
||||
<span class="n">order_target_percent</span><span class="p">(</span><span class="n">context</span><span class="o">.</span><span class="n">neo_usd</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
|
||||
<span class="n">context</span><span class="o">.</span><span class="n">traded_today</span> <span class="o">=</span> <span class="bp">True</span>
|
||||
|
||||
|
||||
<span class="k">def</span> <span class="nf">analyze</span><span class="p">(</span><span class="n">context</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">perf</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
|
||||
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
|
||||
|
||||
<span class="c"># The base currency of the algo exchange</span>
|
||||
<span class="n">base_currency</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">exchanges</span><span class="o">.</span><span class="n">values</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">base_currency</span><span class="o">.</span><span class="n">upper</span><span class="p">()</span>
|
||||
|
||||
<span class="c"># Plot the portfolio value over time.</span>
|
||||
<span class="n">ax1</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">611</span><span class="p">)</span>
|
||||
<span class="n">perf</span><span class="o">.</span><span class="n">loc</span><span class="p">[:,</span> <span class="s">'portfolio_value'</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax1</span><span class="p">)</span>
|
||||
<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s">'Portfolio Value ({})'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">base_currency</span><span class="p">))</span>
|
||||
|
||||
<span class="c"># Plot the price increase or decrease over time.</span>
|
||||
<span class="n">ax2</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">612</span><span class="p">,</span> <span class="n">sharex</span><span class="o">=</span><span class="n">ax1</span><span class="p">)</span>
|
||||
<span class="n">perf</span><span class="o">.</span><span class="n">loc</span><span class="p">[:,</span> <span class="s">'price'</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax2</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s">'Price'</span><span class="p">)</span>
|
||||
|
||||
<span class="n">ax2</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s">'{asset} ({base})'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
|
||||
<span class="n">asset</span><span class="o">=</span><span class="n">context</span><span class="o">.</span><span class="n">neo_usd</span><span class="o">.</span><span class="n">symbol</span><span class="p">,</span> <span class="n">base</span><span class="o">=</span><span class="n">base_currency</span>
|
||||
<span class="p">))</span>
|
||||
|
||||
<span class="n">transaction_df</span> <span class="o">=</span> <span class="n">extract_transactions</span><span class="p">(</span><span class="n">perf</span><span class="p">)</span>
|
||||
<span class="k">if</span> <span class="ow">not</span> <span class="n">transaction_df</span><span class="o">.</span><span class="n">empty</span><span class="p">:</span>
|
||||
<span class="n">buy_df</span> <span class="o">=</span> <span class="n">transaction_df</span><span class="p">[</span><span class="n">transaction_df</span><span class="p">[</span><span class="s">'amount'</span><span class="p">]</span> <span class="o">></span> <span class="mi">0</span><span class="p">]</span>
|
||||
<span class="n">sell_df</span> <span class="o">=</span> <span class="n">transaction_df</span><span class="p">[</span><span class="n">transaction_df</span><span class="p">[</span><span class="s">'amount'</span><span class="p">]</span> <span class="o"><</span> <span class="mi">0</span><span class="p">]</span>
|
||||
<span class="n">ax2</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span>
|
||||
<span class="n">buy_df</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">to_pydatetime</span><span class="p">(),</span>
|
||||
<span class="n">perf</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">buy_df</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="s">'price'</span><span class="p">],</span>
|
||||
<span class="n">marker</span><span class="o">=</span><span class="s">'^'</span><span class="p">,</span>
|
||||
<span class="n">s</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
|
||||
<span class="n">c</span><span class="o">=</span><span class="s">'green'</span><span class="p">,</span>
|
||||
<span class="n">label</span><span class="o">=</span><span class="s">''</span>
|
||||
<span class="p">)</span>
|
||||
<span class="n">ax2</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span>
|
||||
<span class="n">sell_df</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">to_pydatetime</span><span class="p">(),</span>
|
||||
<span class="n">perf</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">sell_df</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="s">'price'</span><span class="p">],</span>
|
||||
<span class="n">marker</span><span class="o">=</span><span class="s">'v'</span><span class="p">,</span>
|
||||
<span class="n">s</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
|
||||
<span class="n">c</span><span class="o">=</span><span class="s">'red'</span><span class="p">,</span>
|
||||
<span class="n">label</span><span class="o">=</span><span class="s">''</span>
|
||||
<span class="p">)</span>
|
||||
|
||||
<span class="n">ax4</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">613</span><span class="p">,</span> <span class="n">sharex</span><span class="o">=</span><span class="n">ax1</span><span class="p">)</span>
|
||||
<span class="n">perf</span><span class="o">.</span><span class="n">loc</span><span class="p">[:,</span> <span class="s">'cash'</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
|
||||
<span class="n">ax</span><span class="o">=</span><span class="n">ax4</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s">'Base Currency ({})'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">base_currency</span><span class="p">)</span>
|
||||
<span class="p">)</span>
|
||||
<span class="n">ax4</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s">'Cash ({})'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">base_currency</span><span class="p">))</span>
|
||||
|
||||
<span class="n">perf</span><span class="p">[</span><span class="s">'algorithm'</span><span class="p">]</span> <span class="o">=</span> <span class="n">perf</span><span class="o">.</span><span class="n">loc</span><span class="p">[:,</span> <span class="s">'algorithm_period_return'</span><span class="p">]</span>
|
||||
|
||||
<span class="n">ax5</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">614</span><span class="p">,</span> <span class="n">sharex</span><span class="o">=</span><span class="n">ax1</span><span class="p">)</span>
|
||||
<span class="n">perf</span><span class="o">.</span><span class="n">loc</span><span class="p">[:,</span> <span class="p">[</span><span class="s">'algorithm'</span><span class="p">,</span> <span class="s">'price_change'</span><span class="p">]]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax5</span><span class="p">)</span>
|
||||
<span class="n">ax5</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s">'Percent Change'</span><span class="p">)</span>
|
||||
|
||||
<span class="n">ax6</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">615</span><span class="p">,</span> <span class="n">sharex</span><span class="o">=</span><span class="n">ax1</span><span class="p">)</span>
|
||||
<span class="n">perf</span><span class="o">.</span><span class="n">loc</span><span class="p">[:,</span> <span class="s">'rsi'</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax6</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s">'RSI'</span><span class="p">)</span>
|
||||
<span class="n">ax6</span><span class="o">.</span><span class="n">axhline</span><span class="p">(</span><span class="mi">70</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s">'darkgoldenrod'</span><span class="p">)</span>
|
||||
<span class="n">ax6</span><span class="o">.</span><span class="n">axhline</span><span class="p">(</span><span class="mi">30</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s">'darkgoldenrod'</span><span class="p">)</span>
|
||||
|
||||
<span class="k">if</span> <span class="ow">not</span> <span class="n">transaction_df</span><span class="o">.</span><span class="n">empty</span><span class="p">:</span>
|
||||
<span class="n">ax6</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span>
|
||||
<span class="n">buy_df</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">to_pydatetime</span><span class="p">(),</span>
|
||||
<span class="n">perf</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">buy_df</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="s">'rsi'</span><span class="p">],</span>
|
||||
<span class="n">marker</span><span class="o">=</span><span class="s">'^'</span><span class="p">,</span>
|
||||
<span class="n">s</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
|
||||
<span class="n">c</span><span class="o">=</span><span class="s">'green'</span><span class="p">,</span>
|
||||
<span class="n">label</span><span class="o">=</span><span class="s">''</span>
|
||||
<span class="p">)</span>
|
||||
<span class="n">ax6</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span>
|
||||
<span class="n">sell_df</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">to_pydatetime</span><span class="p">(),</span>
|
||||
<span class="n">perf</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">sell_df</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="s">'rsi'</span><span class="p">],</span>
|
||||
<span class="n">marker</span><span class="o">=</span><span class="s">'v'</span><span class="p">,</span>
|
||||
<span class="n">s</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
|
||||
<span class="n">c</span><span class="o">=</span><span class="s">'red'</span><span class="p">,</span>
|
||||
<span class="n">label</span><span class="o">=</span><span class="s">''</span>
|
||||
<span class="p">)</span>
|
||||
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
|
||||
|
||||
<span class="c"># Show the plot.</span>
|
||||
<span class="n">plt</span><span class="o">.</span><span class="n">gcf</span><span class="p">()</span><span class="o">.</span><span class="n">set_size_inches</span><span class="p">(</span><span class="mi">18</span><span class="p">,</span> <span class="mi">8</span><span class="p">)</span>
|
||||
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
|
||||
<span class="k">pass</span>
|
||||
|
||||
|
||||
<span class="k">if</span> <span class="n">__name__</span> <span class="o">==</span> <span class="s">'__main__'</span><span class="p">:</span>
|
||||
<span class="c"># The execution mode: backtest or live</span>
|
||||
<span class="n">MODE</span> <span class="o">=</span> <span class="s">'backtest'</span>
|
||||
|
||||
<span class="k">if</span> <span class="n">MODE</span> <span class="o">==</span> <span class="s">'backtest'</span><span class="p">:</span>
|
||||
<span class="c"># catalyst run -f catalyst/examples/mean_reversion_simple.py -x poloniex -s 2017-10-1 -e 2017-11-10 -c usdt -n mean-reversion --data-frequency minute --capital-base 10000</span>
|
||||
<span class="n">run_algorithm</span><span class="p">(</span>
|
||||
<span class="n">capital_base</span><span class="o">=</span><span class="mi">10000</span><span class="p">,</span>
|
||||
<span class="n">data_frequency</span><span class="o">=</span><span class="s">'minute'</span><span class="p">,</span>
|
||||
<span class="n">initialize</span><span class="o">=</span><span class="n">initialize</span><span class="p">,</span>
|
||||
<span class="n">handle_data</span><span class="o">=</span><span class="n">handle_data</span><span class="p">,</span>
|
||||
<span class="n">analyze</span><span class="o">=</span><span class="n">analyze</span><span class="p">,</span>
|
||||
<span class="n">exchange_name</span><span class="o">=</span><span class="s">'bitfinex'</span><span class="p">,</span>
|
||||
<span class="n">algo_namespace</span><span class="o">=</span><span class="n">NAMESPACE</span><span class="p">,</span>
|
||||
<span class="n">base_currency</span><span class="o">=</span><span class="s">'usd'</span><span class="p">,</span>
|
||||
<span class="n">start</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="s">'2017-10-1'</span><span class="p">,</span> <span class="n">utc</span><span class="o">=</span><span class="bp">True</span><span class="p">),</span>
|
||||
<span class="n">end</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="s">'2017-11-10'</span><span class="p">,</span> <span class="n">utc</span><span class="o">=</span><span class="bp">True</span><span class="p">),</span>
|
||||
<span class="p">)</span>
|
||||
|
||||
<span class="k">elif</span> <span class="n">MODE</span> <span class="o">==</span> <span class="s">'live'</span><span class="p">:</span>
|
||||
<span class="n">run_algorithm</span><span class="p">(</span>
|
||||
<span class="n">initialize</span><span class="o">=</span><span class="n">initialize</span><span class="p">,</span>
|
||||
<span class="n">handle_data</span><span class="o">=</span><span class="n">handle_data</span><span class="p">,</span>
|
||||
<span class="n">analyze</span><span class="o">=</span><span class="n">analyze</span><span class="p">,</span>
|
||||
<span class="n">exchange_name</span><span class="o">=</span><span class="s">'bitfinex'</span><span class="p">,</span>
|
||||
<span class="n">live</span><span class="o">=</span><span class="bp">True</span><span class="p">,</span>
|
||||
<span class="n">algo_namespace</span><span class="o">=</span><span class="n">NAMESPACE</span><span class="p">,</span>
|
||||
<span class="n">base_currency</span><span class="o">=</span><span class="s">'usd'</span><span class="p">,</span>
|
||||
<span class="n">live_graph</span><span class="o">=</span><span class="bp">True</span>
|
||||
<span class="p">)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
+2
-1
@@ -121,7 +121,8 @@
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
|
||||
|
||||
+2
-1
@@ -121,7 +121,8 @@
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
|
||||
|
||||
+7
-1
@@ -122,7 +122,13 @@
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#output-to-csv-file">Output to CSV file</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#extracting-market-data">Extracting market data</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="videos.html">Videos</a><ul>
|
||||
|
||||
+7
-1
@@ -122,7 +122,13 @@
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#output-to-csv-file">Output to CSV file</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#extracting-market-data">Extracting market data</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="videos.html">Videos</a><ul>
|
||||
|
||||
+7
-1
@@ -122,7 +122,13 @@
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#output-to-csv-file">Output to CSV file</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#extracting-market-data">Extracting market data</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="videos.html">Videos</a><ul>
|
||||
|
||||
@@ -122,7 +122,13 @@
|
||||
</li>
|
||||
<li class="toctree-l1 current"><a class="current reference internal" href="">Naming Convention</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#output-to-csv-file">Output to CSV file</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#extracting-market-data">Extracting market data</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="videos.html">Videos</a><ul>
|
||||
|
||||
BIN
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@@ -120,7 +120,13 @@
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#output-to-csv-file">Output to CSV file</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#extracting-market-data">Extracting market data</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="videos.html">Videos</a><ul>
|
||||
|
||||
+7
-1
@@ -121,7 +121,13 @@
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#output-to-csv-file">Output to CSV file</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#extracting-market-data">Extracting market data</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="videos.html">Videos</a><ul>
|
||||
|
||||
+7
-1
@@ -122,7 +122,13 @@
|
||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
|
||||
</ul>
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||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="utilities.html">Utilities</a><ul>
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||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#output-to-csv-file">Output to CSV file</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="utilities.html#extracting-market-data">Extracting market data</a></li>
|
||||
</ul>
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||||
</li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="videos.html">Videos</a><ul>
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</li>
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||||
<li class="toctree-l1"><a class="reference internal" href="naming-convention.html">Naming Convention</a></li>
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||||
<li class="toctree-l1"><a class="reference internal" href="example-algos.html">Example Algorithms</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl">Buy and Hodl</a></li>
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<li class="toctree-l2"><a class="reference internal" href="example-algos.html#buy-and-hodl-algorithm">Buy and Hodl Algorithm</a></li>
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<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
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</ul>
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</li>
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<li class="toctree-l2"><a class="reference internal" href="example-algos.html#mean-reversion-algorithm">Mean Reversion Algorithm</a></li>
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