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https://github.com/freqtrade/freqtrade.git
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Revert OHLVC dataformat to ccxt format
* Also fixes backtesting - but data must be refreshed for now as no conversation is happening yet
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@ -44,12 +44,13 @@ class Analyze(object):
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:param ticker: See exchange.get_ticker_history
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:return: DataFrame
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"""
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columns = {'C': 'close', 'V': 'volume', 'O': 'open', 'H': 'high', 'L': 'low', 'T': 'date'}
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frame = DataFrame(ticker) \
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.rename(columns=columns)
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if 'BV' in frame:
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frame.drop('BV', 1, inplace=True)
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frame['date'] = to_datetime(frame['date'], utc=True, infer_datetime_format=True)
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cols = ['date', 'open', 'high', 'low', 'close', 'volume']
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frame = DataFrame(ticker, columns=cols)
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frame['date'] = to_datetime(frame['date'],
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unit='ms',
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utc=True,
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infer_datetime_format=True)
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frame.sort_values('date', inplace=True)
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return frame
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@ -181,26 +181,18 @@ def get_ticker(pair: str, refresh: Optional[bool] = True) -> dict:
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# @cached(TTLCache(maxsize=100, ttl=30))
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@retrier
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def get_ticker_history(pair: str, tick_interval) -> List[Dict]:
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def get_ticker_history(pair: str, tick_interval) -> List[List]:
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# TODO: tickers need to be in format 1m,5m
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# fetch_ohlcv returns an [[datetime,o,h,l,c,v]]
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if 'fetchOHLCV' not in _API.has or not _API.has['fetchOHLCV']:
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logger.warning('Exhange %s does not support fetching historical candlestick data.', _API.name)
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logger.warning('Exhange %s does not support fetching historical candlestick data.',
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_API.name)
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return []
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try:
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history = _API.fetch_ohlcv(pair, timeframe=str(tick_interval)+"m")
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history_json = []
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for candlestick in history:
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history_json.append({
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'T': datetime.fromtimestamp(candlestick[0]/1000.0).strftime('%Y-%m-%dT%H:%M:%S.%f'),
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'O': candlestick[1],
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'H': candlestick[2],
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'L': candlestick[3],
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'C': candlestick[4],
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'V': candlestick[5],
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})
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return history_json
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ohlcv = _API.fetch_ohlcv(pair, timeframe=str(tick_interval)+"m")
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return ohlcv
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except IndexError as e:
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logger.warning('Empty ticker history. Msg %s', str(e))
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except ccxt.NetworkError as e:
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@ -4,6 +4,7 @@ import gzip
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import json
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import os
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from typing import Optional, List, Dict, Tuple
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from datetime import datetime
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from freqtrade import misc
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from freqtrade.exchange import get_ticker_history
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@ -135,8 +136,8 @@ def download_backtesting_testdata(datadir: str, pair: str, interval: int = 5) ->
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if os.path.isfile(filename):
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with open(filename, "rt") as file:
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data = json.load(file)
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logger.debug("Current Start: %s", data[1]['T'])
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logger.debug("Current End: %s", data[-1:][0]['T'])
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logger.debug("Current Start: %s", format_ms_time(data[1][0]))
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logger.debug("Current End: %s", format_ms_time(data[-1:][0][0]))
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else:
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data = []
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logger.debug("Current Start: None")
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@ -146,10 +147,14 @@ def download_backtesting_testdata(datadir: str, pair: str, interval: int = 5) ->
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for row in new_data:
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if row not in data:
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data.append(row)
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logger.debug("New Start: %s", data[1]['T'])
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logger.debug("New End: %s", data[-1:][0]['T'])
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data = sorted(data, key=lambda data: data['T'])
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logger.debug("New Start: %s", format_ms_time(data[0][0]))
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logger.debug("New End: %s", format_ms_time(data[-1:][0][0]))
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data = sorted(data, key=lambda data: data[0])
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misc.file_dump_json(filename, data)
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return True
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def format_ms_time(date: str) -> str:
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return datetime.fromtimestamp(date/1000.0).strftime('%Y-%m-%dT%H:%M:%S')
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