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23
Commits
| Author | SHA1 | Date | |
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d223529100 | ||
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b76b4458cb | ||
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decbdbf6ea | ||
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1cafcc1417 | ||
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0d77854782 | ||
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4cb8d54d97 | ||
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7b796a4276 | ||
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41a4c7072f | ||
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11302b3af9 | ||
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5bb7eed072 | ||
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dbf3b6e6b2 | ||
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3e69449a6b | ||
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69731b653d | ||
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127d779eb1 | ||
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8d86a5548f | ||
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0a37cdec5b |
@@ -793,7 +793,7 @@ def ls(ctx):
|
||||
)
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@click.pass_context
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||||
def subscribe(ctx, dataset):
|
||||
"""Subscribe to an exisiting dataset.
|
||||
"""Subscribe to an existing dataset.
|
||||
"""
|
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marketplace = Marketplace()
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marketplace.subscribe(dataset)
|
||||
|
||||
@@ -25,8 +25,7 @@ AUTO_INGEST = False
|
||||
AUTH_SERVER = 'https://data.enigma.co'
|
||||
|
||||
# TODO: switch to mainnet
|
||||
ETH_REMOTE_NODE = 'https://ropsten.infura.io/'
|
||||
|
||||
ETH_REMOTE_NODE = 'https://rinkeby.infura.io/'
|
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|
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MARKETPLACE_CONTRACT = 'https://raw.githubusercontent.com/enigmampc/' \
|
||||
'catalyst/master/catalyst/marketplace/' \
|
||||
@@ -37,8 +36,8 @@ MARKETPLACE_CONTRACT_ABI = 'https://raw.githubusercontent.com/enigmampc/' \
|
||||
'contract_marketplace_abi.json'
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|
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# TODO: switch to mainnet
|
||||
ENIGMA_CONTRACT = 'https://raw.githubusercontent.com/enigmampc/catalyst/' \
|
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'master/catalyst/marketplace/' \
|
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ENIGMA_CONTRACT = 'https://raw.githubusercontent.com/enigmampc/' \
|
||||
'catalyst/master/catalyst/marketplace/' \
|
||||
'contract_enigma_address.txt'
|
||||
|
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ENIGMA_CONTRACT_ABI = 'https://raw.githubusercontent.com/enigmampc/' \
|
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|
||||
@@ -26,7 +26,7 @@ def handle_data(context, data):
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context.asset,
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fields='price',
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bar_count=20,
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frequency='2H'
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frequency='30T'
|
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)
|
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last_traded = prices.index[-1]
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log.info('last candle date: {}'.format(last_traded))
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|
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@@ -190,6 +190,9 @@ class CCXT(Exchange):
|
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if data_frequency == 'minute' and not freq.endswith('T'):
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continue
|
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|
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elif data_frequency == 'hourly' and not freq.endswith('D'):
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continue
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elif data_frequency == 'daily' and not freq.endswith('D'):
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continue
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|
||||
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@@ -16,7 +16,8 @@ from catalyst.exchange.exchange_errors import MismatchingBaseCurrencies, \
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TickerNotFoundError, NotEnoughCashError
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from catalyst.exchange.utils.datetime_utils import get_delta, \
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get_periods_range, \
|
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get_periods, get_start_dt, get_frequency
|
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get_periods, get_start_dt, get_frequency, \
|
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get_candles_number_from_minutes
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from catalyst.exchange.utils.exchange_utils import get_exchange_symbols, \
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resample_history_df, has_bundle, get_candles_df
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from logbook import Logger
|
||||
@@ -511,7 +512,12 @@ class Exchange:
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# so we request more than needed
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# TODO: consider defining a const per asset
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# and/or some retry mechanism (in each iteration request more data)
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requested_bar_count = bar_count + 30
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kExtra_minutes_candles = 150
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requested_bar_count = bar_count + \
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get_candles_number_from_minutes(unit,
|
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candle_size,
|
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kExtra_minutes_candles)
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||||
|
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# The get_history method supports multiple asset
|
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candles = self.get_candles(
|
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freq=freq,
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@@ -529,11 +535,14 @@ class Exchange:
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asset=asset,
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exchange=self.name)
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# for avoiding unnecessary forward fill end_dt is taken back one second
|
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forward_fill_till_dt = end_dt - timedelta(seconds=1)
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||||
|
||||
series = get_candles_df(candles=candles,
|
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field=field,
|
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freq=frequency,
|
||||
bar_count=requested_bar_count,
|
||||
end_dt=end_dt)
|
||||
end_dt=forward_fill_till_dt)
|
||||
|
||||
# TODO: consider how to approach this edge case
|
||||
# delta_candle_size = candle_size * 60 if unit == 'H' else candle_size
|
||||
@@ -602,7 +611,7 @@ class Exchange:
|
||||
# TODO: this function needs some work,
|
||||
# we're currently using it just for benchmark data
|
||||
freq, candle_size, unit, data_frequency = get_frequency(
|
||||
frequency, data_frequency
|
||||
frequency, data_frequency, supported_freqs=['T', 'D']
|
||||
)
|
||||
adj_bar_count = candle_size * bar_count
|
||||
try:
|
||||
|
||||
@@ -296,7 +296,7 @@ class DataPortalExchangeBacktest(DataPortalExchangeBase):
|
||||
bundle = self.exchange_bundles[exchange_name] # type: ExchangeBundle
|
||||
|
||||
freq, candle_size, unit, adj_data_frequency = get_frequency(
|
||||
frequency, data_frequency
|
||||
frequency, data_frequency, supported_freqs=['T', 'D']
|
||||
)
|
||||
adj_bar_count = candle_size * bar_count
|
||||
|
||||
@@ -312,7 +312,7 @@ class DataPortalExchangeBacktest(DataPortalExchangeBase):
|
||||
algo_end_dt=self._last_available_session,
|
||||
)
|
||||
|
||||
start_dt = get_start_dt(end_dt, adj_bar_count, data_frequency)
|
||||
start_dt = get_start_dt(end_dt, adj_bar_count, adj_data_frequency)
|
||||
df = resample_history_df(pd.DataFrame(series), freq, field, start_dt)
|
||||
return df
|
||||
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
import calendar
|
||||
import math
|
||||
import re
|
||||
from datetime import datetime, timedelta, date
|
||||
|
||||
@@ -248,9 +249,12 @@ def get_year_start_end(dt, first_day=None, last_day=None):
|
||||
return year_start, year_end
|
||||
|
||||
|
||||
def get_frequency(freq, data_frequency=None, supported_freqs=['D', 'T']):
|
||||
def get_frequency(freq, data_frequency=None, supported_freqs=['D', 'H', 'T']):
|
||||
"""
|
||||
Get the frequency parameters.
|
||||
Takes an arbitrary candle size (e.g. 15T) and converts to the lowest
|
||||
common denominator supported by the data bundles (e.g. 1T). The data
|
||||
bundles only support 1T and 1D frequencies. If another frequency
|
||||
is requested, Catalyst must request the underlying data and resample.
|
||||
|
||||
Notes
|
||||
-----
|
||||
@@ -305,14 +309,14 @@ def get_frequency(freq, data_frequency=None, supported_freqs=['D', 'T']):
|
||||
data_frequency = 'minute'
|
||||
|
||||
elif unit.lower() == 'h':
|
||||
data_frequency = 'minute'
|
||||
|
||||
if 'H' in supported_freqs:
|
||||
unit = 'H'
|
||||
alias = '{}H'.format(candle_size)
|
||||
|
||||
else:
|
||||
candle_size = candle_size * 60
|
||||
alias = '{}T'.format(candle_size)
|
||||
data_frequency = 'minute'
|
||||
|
||||
else:
|
||||
raise InvalidHistoryFrequencyAlias(freq=freq)
|
||||
@@ -326,3 +330,33 @@ def from_ms_timestamp(ms):
|
||||
|
||||
def get_epoch():
|
||||
return pd.to_datetime('1970-1-1', utc=True)
|
||||
|
||||
|
||||
def get_candles_number_from_minutes(unit, candle_size, minutes):
|
||||
"""
|
||||
Get the number of bars needed for the given time interval
|
||||
in minutes.
|
||||
|
||||
Notes
|
||||
-----
|
||||
Supports only "T", "D" and "H" units
|
||||
|
||||
Parameters
|
||||
----------
|
||||
unit: str
|
||||
candle_size : int
|
||||
minutes: int
|
||||
|
||||
Returns
|
||||
-------
|
||||
int
|
||||
|
||||
"""
|
||||
if unit == "T":
|
||||
res = (float(minutes) / candle_size)
|
||||
elif unit == "H":
|
||||
res = (minutes / 60.0) / candle_size
|
||||
else: # unit == "D"
|
||||
res = (minutes / 1440.0) / candle_size
|
||||
|
||||
return int(math.ceil(res))
|
||||
|
||||
@@ -1 +1 @@
|
||||
0x7fAec9aaE31BE428DeAAE1be8195dF609079Fd10
|
||||
0x39a54f480d922a58c963de8091a6c9afc69db2cf
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -1 +1 @@
|
||||
0x3985f5de8fddf2e8f7705cd360b498bf35ebfbc4
|
||||
0xa2b37c6cd52f60fd4eb46ca59fafcf22d081aebc
|
||||
@@ -177,10 +177,12 @@ class Marketplace:
|
||||
def check_transaction(self, tx_hash):
|
||||
|
||||
if 'ropsten' in ETH_REMOTE_NODE:
|
||||
etherscan = 'https://ropsten.etherscan.io/tx/{}'.format(
|
||||
tx_hash)
|
||||
etherscan = 'https://ropsten.etherscan.io/tx/'
|
||||
elif 'rinkeby' in ETH_REMOTE_NODE:
|
||||
etherscan = 'https://rinkeby.etherscan.io/tx/'
|
||||
else:
|
||||
etherscan = 'https://etherscan.io/tx/{}'.format(tx_hash)
|
||||
etherscan = 'https://etherscan.io/tx/'
|
||||
etherscan = '{}{}'.format(etherscan, tx_hash)
|
||||
|
||||
print('\nYou can check the outcome of your transaction here:\n'
|
||||
'{}\n\n'.format(etherscan))
|
||||
@@ -329,9 +331,6 @@ class Marketplace:
|
||||
'nonce': self.web3.eth.getTransactionCount(address)}
|
||||
)
|
||||
|
||||
if 'ropsten' in ETH_REMOTE_NODE:
|
||||
tx['gas'] = min(int(tx['gas'] * 1.5), 4700000)
|
||||
|
||||
signed_tx = self.sign_transaction(tx)
|
||||
try:
|
||||
tx_hash = '0x{}'.format(
|
||||
@@ -371,9 +370,6 @@ class Marketplace:
|
||||
'from': address,
|
||||
'nonce': self.web3.eth.getTransactionCount(address)})
|
||||
|
||||
if 'ropsten' in ETH_REMOTE_NODE:
|
||||
tx['gas'] = min(int(tx['gas'] * 1.5), 4700000)
|
||||
|
||||
signed_tx = self.sign_transaction(tx)
|
||||
|
||||
try:
|
||||
@@ -701,9 +697,6 @@ class Marketplace:
|
||||
'nonce': self.web3.eth.getTransactionCount(address)}
|
||||
)
|
||||
|
||||
if 'ropsten' in ETH_REMOTE_NODE:
|
||||
tx['gas'] = min(int(tx['gas'] * 1.5), 4700000)
|
||||
|
||||
signed_tx = self.sign_transaction(tx)
|
||||
|
||||
try:
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import hashlib
|
||||
import hmac
|
||||
import webbrowser
|
||||
|
||||
import requests
|
||||
import time
|
||||
@@ -45,10 +46,17 @@ def get_key_secret(pubAddr, wallet='mew'):
|
||||
nonce = '0x{}'.format(d['nonce'])
|
||||
|
||||
if wallet == 'mew':
|
||||
url = 'https://www.myetherwallet.com/signmsg.html'
|
||||
|
||||
print('\nObtaining a key/secret pair to streamline all future '
|
||||
'requests with the authentication server.\n'
|
||||
'Visit https://www.myetherwallet.com/signmsg.html and sign the '
|
||||
'following message:\n{}'.format(nonce))
|
||||
'Visit {url} and sign the '
|
||||
'following message:\n{nonce}'.format(
|
||||
url=url,
|
||||
nonce=nonce))
|
||||
|
||||
webbrowser.open_new(url)
|
||||
|
||||
signature = input('Copy and Paste the "sig" field from '
|
||||
'the signature here (without the double quotes, '
|
||||
'only the HEX value):\n')
|
||||
|
||||
@@ -88,5 +88,7 @@ def safely_reduce_dtype(ser): # pandas.Series or numpy.array
|
||||
new_itemsize = np.min_scalar_type(val).itemsize
|
||||
if mx < new_itemsize:
|
||||
mx = new_itemsize
|
||||
if orig_dtype == 'int':
|
||||
mx = max(mx, 4)
|
||||
new_dtype = orig_dtype + str(mx * 8)
|
||||
return ser.astype(new_dtype)
|
||||
|
||||
@@ -0,0 +1,49 @@
|
||||
import pytz
|
||||
from datetime import datetime
|
||||
from catalyst.api import symbol
|
||||
from catalyst.utils.run_algo import run_algorithm
|
||||
|
||||
coin = 'btc'
|
||||
base_currency = 'usd'
|
||||
n_candles = 5
|
||||
|
||||
|
||||
def initialize(context):
|
||||
context.symbol = symbol('%s_%s' % (coin, base_currency))
|
||||
|
||||
|
||||
def handle_data_polo_partial_candles(context, data):
|
||||
history = data.history(symbol('btc_usdt'), ['volume'],
|
||||
bar_count=10,
|
||||
frequency='4H')
|
||||
print('\nnow: %s\n%s' % (data.current_dt, history))
|
||||
if not hasattr(context, 'i'):
|
||||
context.i = 0
|
||||
context.i += 1
|
||||
if context.i > 5:
|
||||
raise Exception('stop')
|
||||
|
||||
|
||||
live = False
|
||||
|
||||
if live:
|
||||
run_algorithm(initialize=lambda ctx: True,
|
||||
handle_data=handle_data_polo_partial_candles,
|
||||
exchange_name='poloniex',
|
||||
base_currency='usdt',
|
||||
algo_namespace='ns',
|
||||
live=True,
|
||||
data_frequency='minute',
|
||||
capital_base=3000)
|
||||
else:
|
||||
run_algorithm(initialize=lambda ctx: True,
|
||||
handle_data=handle_data_polo_partial_candles,
|
||||
exchange_name='poloniex',
|
||||
base_currency='usdt',
|
||||
algo_namespace='ns',
|
||||
live=False,
|
||||
data_frequency='minute',
|
||||
capital_base=3000,
|
||||
start=datetime(2018, 2, 2, 0, 0, 0, 0, pytz.utc),
|
||||
end=datetime(2018, 2, 20, 0, 0, 0, 0, pytz.utc)
|
||||
)
|
||||
@@ -0,0 +1,35 @@
|
||||
import pytz
|
||||
from datetime import datetime
|
||||
from catalyst.api import symbol
|
||||
from catalyst.utils.run_algo import run_algorithm
|
||||
|
||||
coin = 'btc'
|
||||
base_currency = 'usd'
|
||||
|
||||
|
||||
def initialize(context):
|
||||
context.symbol = symbol('%s_%s' % (coin, base_currency))
|
||||
|
||||
|
||||
def handle_data_polo_partial_candles(context, data):
|
||||
history = data.history(symbol('btc_usdt'), ['volume'],
|
||||
bar_count=10,
|
||||
frequency='1D')
|
||||
print('\nnow: %s\n%s' % (data.current_dt, history))
|
||||
if not hasattr(context, 'i'):
|
||||
context.i = 0
|
||||
context.i += 1
|
||||
if context.i > 5:
|
||||
raise Exception('stop')
|
||||
|
||||
|
||||
run_algorithm(initialize=lambda ctx: True,
|
||||
handle_data=handle_data_polo_partial_candles,
|
||||
exchange_name='poloniex',
|
||||
base_currency='usdt',
|
||||
algo_namespace='ns',
|
||||
live=False,
|
||||
data_frequency='minute',
|
||||
capital_base=3000,
|
||||
start=datetime(2018, 2, 2, 0, 0, 0, 0, pytz.utc),
|
||||
end=datetime(2018, 2, 20, 0, 0, 0, 0, pytz.utc))
|
||||
+11
-1
@@ -143,7 +143,7 @@ with the following steps:
|
||||
|
||||
.. code-block:: bash
|
||||
|
||||
conda create --name catalyst python=2.7 scipy zlib
|
||||
conda create --name catalyst python=3.6 scipy zlib
|
||||
|
||||
3. Activate the environment:
|
||||
|
||||
@@ -314,6 +314,16 @@ Troubleshooting ``pip`` Install
|
||||
|
||||
$ sudo apt-get install python-dev
|
||||
|
||||
----
|
||||
|
||||
**Issue**:
|
||||
Missing TA_Lib
|
||||
|
||||
**Solution**:
|
||||
Follow `these instructions
|
||||
<https://mrjbq7.github.io/ta-lib/install.html>`_ to install the TA_Lib Python wrapper
|
||||
(and if needed, its underlying C library as well).
|
||||
|
||||
.. _pipenv:
|
||||
|
||||
Installing with ``pipenv``
|
||||
|
||||
@@ -2,6 +2,52 @@
|
||||
Release Notes
|
||||
=============
|
||||
|
||||
Version 0.5.5
|
||||
^^^^^^^^^^^^^
|
||||
**Release Date**: 2018-03-19
|
||||
|
||||
Bug Fixes
|
||||
~~~~~~~~~
|
||||
- Fixed an issue with the data history in daily frequency :issue:`274`
|
||||
- Fix hourly frequency issues :issue:`227` and :issue:`114`
|
||||
|
||||
Version 0.5.4
|
||||
^^^^^^^^^^^^^
|
||||
**Release Date**: 2018-03-14
|
||||
|
||||
Build
|
||||
~~~~~
|
||||
- Switched Data Marketplace from Ropstein testnet to Rinkeby testnet after
|
||||
incorporating changes resulting from the marketplace contract audit
|
||||
- Several usability improvements of the Data Marketplace that make the
|
||||
`--dataset` parameter optional. If it is not included in the command line,
|
||||
will list available datasets, and let you choose interactively.
|
||||
|
||||
Bug Fixes
|
||||
~~~~~~~~~
|
||||
- Fix Binance requirement of symbol to be included in the cancelled order
|
||||
:issue:`204`
|
||||
- Fix `notenoughcasherror` when an open order is filled minutes later
|
||||
:issue:`237`
|
||||
- Properly handle of empty candles received from exchanges :issue:`236`
|
||||
- Added a function to reduce open orders amount from calculated target/amount
|
||||
for target orders :issue:`243`
|
||||
- Fix missing file in live trading mode on date change :issue:`252`,
|
||||
:issue:`253`
|
||||
- Upgraded Data Marketplace to Web3==4.0.0b11, which was breaking some
|
||||
functionality from prior version 4.0.0b7 :issue:`257`
|
||||
- Always request more data to avoid empty bars and always give the exact bar
|
||||
number :issue:`260`
|
||||
|
||||
Documentation
|
||||
~~~~~~~~~~~~~
|
||||
- PyCharm documentation :issue:`195`
|
||||
- Added TA-Lib troubleshooting instructions
|
||||
- Added instructions on how to create a Conda environment for Python 3.6, and
|
||||
updated Visual C++ instructions for Windows and Python 3
|
||||
- Linking example algorithms in the documentation to their sources
|
||||
|
||||
|
||||
Version 0.5.3
|
||||
^^^^^^^^^^^^^
|
||||
**Release Date**: 2018-02-09
|
||||
|
||||
@@ -5,7 +5,6 @@ channels:
|
||||
dependencies:
|
||||
- certifi=2016.2.28=py27_0
|
||||
- mkl=2017.0.3
|
||||
- matplotlib=2.1.2=py36_0
|
||||
- numpy=1.13.1=py27_0
|
||||
- openssl=1.0.2l
|
||||
- pip=9.0.1=py27_1
|
||||
@@ -40,7 +39,7 @@ dependencies:
|
||||
- lru-dict==1.1.6
|
||||
- mako==1.0.7
|
||||
- markupsafe==1.0
|
||||
- matplotlib==2.1.0
|
||||
- matplotlib==2.1.2
|
||||
- multipledispatch==0.4.9
|
||||
- networkx==2.0
|
||||
- numexpr==2.6.4
|
||||
|
||||
Reference in New Issue
Block a user