stable/freqtrade/optimize/__init__.py

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# pragma pylint: disable=missing-docstring
import logging
import json
import os
from typing import Optional, List, Dict
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from pandas import DataFrame
from freqtrade.exchange import get_ticker_history
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from freqtrade.optimize.hyperopt_conf import hyperopt_optimize_conf
from freqtrade.analyze import populate_indicators, parse_ticker_dataframe
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from freqtrade import misc
logger = logging.getLogger(__name__)
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def trim_tickerlist(tickerlist, timerange):
(stype, start, stop) = timerange
if stype == (None, 'line'):
return tickerlist[stop:]
elif stype == ('line', None):
return tickerlist[0:start]
elif stype == ('index', 'index'):
return tickerlist[start:stop]
else:
return tickerlist
def load_tickerdata_file(datadir, pair, ticker_interval,
timerange=None):
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"""
Load a pair from file,
:return dict OR empty if unsuccesful
"""
path = make_testdata_path(datadir)
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file = '{abspath}/{pair}-{ticker_interval}.json'.format(
abspath=path,
pair=pair,
ticker_interval=ticker_interval,
)
# The file does not exist we download it
if not os.path.isfile(file):
return None
# Read the file, load the json
with open(file) as tickerdata:
pairdata = json.load(tickerdata)
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if timerange:
pairdata = trim_tickerlist(pairdata, timerange)
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return pairdata
def load_data(datadir: str, ticker_interval: int, pairs: Optional[List[str]] = None,
refresh_pairs: Optional[bool] = False, timerange=None) -> Dict[str, List]:
"""
Loads ticker history data for the given parameters
:param ticker_interval: ticker interval in minutes
:param pairs: list of pairs
:return: dict
"""
result = {}
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_pairs = pairs or hyperopt_optimize_conf()['exchange']['pair_whitelist']
# If the user force the refresh of pairs
if refresh_pairs:
logger.info('Download data for all pairs and store them in %s', datadir)
download_pairs(datadir, _pairs, ticker_interval)
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for pair in _pairs:
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pairdata = load_tickerdata_file(datadir, pair, ticker_interval, timerange=timerange)
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if not pairdata:
# download the tickerdata from exchange
download_backtesting_testdata(datadir, pair=pair, interval=ticker_interval)
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# and retry reading the pair
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pairdata = load_tickerdata_file(datadir, pair, ticker_interval, timerange=timerange)
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result[pair] = pairdata
return result
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def tickerdata_to_dataframe(data):
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preprocessed = preprocess(data)
return preprocessed
def preprocess(tickerdata: Dict[str, List]) -> Dict[str, DataFrame]:
"""Creates a dataframe and populates indicators for given ticker data"""
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return {pair: populate_indicators(parse_ticker_dataframe(pair_data))
for pair, pair_data in tickerdata.items()}
def make_testdata_path(datadir: str) -> str:
"""Return the path where testdata files are stored"""
return datadir or os.path.abspath(os.path.join(os.path.dirname(__file__),
'..', 'tests', 'testdata'))
def download_pairs(datadir, pairs: List[str], ticker_interval: int) -> bool:
"""For each pairs passed in parameters, download the ticker intervals"""
for pair in pairs:
try:
download_backtesting_testdata(datadir, pair=pair, interval=ticker_interval)
except BaseException:
logger.info('Failed to download the pair: "{pair}", Interval: {interval} min'.format(
pair=pair,
interval=ticker_interval,
))
return False
return True
def download_backtesting_testdata(datadir: str, pair: str, interval: int = 5) -> bool:
"""
Download the latest 1 and 5 ticker intervals from Bittrex for the pairs passed in parameters
Based on @Rybolov work: https://github.com/rybolov/freqtrade-data
:param pairs: list of pairs to download
:return: bool
"""
path = make_testdata_path(datadir)
logger.info('Download the pair: "{pair}", Interval: {interval} min'.format(
pair=pair,
interval=interval,
))
filepair = pair.replace("-", "_")
filename = os.path.join(path, '{pair}-{interval}.json'.format(
pair=filepair,
interval=interval,
))
if os.path.isfile(filename):
with open(filename, "rt") as fp:
data = json.load(fp)
logger.debug("Current Start: {}".format(data[1]['T']))
logger.debug("Current End: {}".format(data[-1:][0]['T']))
else:
data = []
logger.debug("Current Start: None")
logger.debug("Current End: None")
new_data = get_ticker_history(pair=pair, tick_interval=int(interval))
for row in new_data:
if row not in data:
data.append(row)
logger.debug("New Start: {}".format(data[1]['T']))
logger.debug("New End: {}".format(data[-1:][0]['T']))
data = sorted(data, key=lambda data: data['T'])
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misc.file_dump_json(filename, data)
return True