2020-01-26 12:17:26 +00:00
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import logging
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import sys
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2020-07-12 07:57:00 +00:00
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from collections import defaultdict
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2020-10-20 18:11:38 +00:00
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from datetime import datetime, timedelta
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2020-01-26 12:17:26 +00:00
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from typing import Any, Dict, List
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2020-01-26 12:55:48 +00:00
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from freqtrade.configuration import TimeRange, setup_utils_configuration
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2022-08-19 11:44:31 +00:00
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from freqtrade.constants import DATETIME_PRINT_FORMAT
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2020-09-28 17:39:41 +00:00
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from freqtrade.data.converter import convert_ohlcv_format, convert_trades_format
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from freqtrade.data.history import (convert_trades_to_ohlcv, refresh_backtest_ohlcv_data,
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2020-01-26 12:17:26 +00:00
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refresh_backtest_trades_data)
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2022-03-03 06:06:13 +00:00
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from freqtrade.enums import CandleType, RunMode, TradingMode
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2020-01-26 12:17:26 +00:00
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from freqtrade.exceptions import OperationalException
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2020-07-12 07:57:00 +00:00
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from freqtrade.exchange import timeframe_to_minutes
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2021-10-17 14:09:56 +00:00
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from freqtrade.exchange.exchange import market_is_active
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2022-05-25 13:31:50 +00:00
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from freqtrade.plugins.pairlist.pairlist_helpers import dynamic_expand_pairlist, expand_pairlist
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2020-01-26 12:17:26 +00:00
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from freqtrade.resolvers import ExchangeResolver
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2020-09-28 17:39:41 +00:00
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2020-01-26 12:17:26 +00:00
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logger = logging.getLogger(__name__)
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def start_download_data(args: Dict[str, Any]) -> None:
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"""
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Download data (former download_backtest_data.py script)
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"""
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config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
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2020-09-19 07:10:34 +00:00
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if 'days' in config and 'timerange' in config:
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raise OperationalException("--days and --timerange are mutually exclusive. "
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"You can only specify one or the other.")
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2020-01-26 12:17:26 +00:00
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timerange = TimeRange()
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if 'days' in config:
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2020-10-20 18:11:38 +00:00
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time_since = (datetime.now() - timedelta(days=config['days'])).strftime("%Y%m%d")
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2020-01-26 12:17:26 +00:00
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timerange = TimeRange.parse_timerange(f'{time_since}-')
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2020-09-19 07:10:34 +00:00
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if 'timerange' in config:
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timerange = timerange.parse_timerange(config['timerange'])
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2020-10-29 06:43:40 +00:00
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# Remove stake-currency to skip checks which are not relevant for datadownload
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config['stake_currency'] = ''
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2020-01-26 12:17:26 +00:00
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if 'pairs' not in config:
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raise OperationalException(
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"Downloading data requires a list of pairs. "
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"Please check the documentation on how to configure this.")
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pairs_not_available: List[str] = []
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# Init exchange
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2020-02-08 08:53:20 +00:00
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exchange = ExchangeResolver.load_exchange(config['exchange']['name'], config, validate=False)
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2021-10-17 14:09:56 +00:00
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markets = [p for p, m in exchange.markets.items() if market_is_active(m)
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or config.get('include_inactive')]
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2022-05-25 13:31:50 +00:00
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expanded_pairs = dynamic_expand_pairlist(config, markets)
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2021-10-17 14:09:56 +00:00
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2020-02-08 20:53:34 +00:00
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# Manual validations of relevant settings
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2021-07-17 06:21:03 +00:00
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if not config['exchange'].get('skip_pair_validation', False):
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2021-10-17 14:09:56 +00:00
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exchange.validate_pairs(expanded_pairs)
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2021-01-12 00:13:58 +00:00
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logger.info(f"About to download pairs: {expanded_pairs}, "
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f"intervals: {config['timeframes']} to {config['datadir']}")
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2020-02-08 20:53:34 +00:00
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for timeframe in config['timeframes']:
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exchange.validate_timeframes(timeframe)
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2020-01-26 12:17:26 +00:00
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try:
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if config.get('download_trades'):
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2021-11-27 15:36:59 +00:00
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if config.get('trading_mode') == 'futures':
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raise OperationalException("Trade download not supported for futures.")
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2020-01-26 12:17:26 +00:00
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pairs_not_available = refresh_backtest_trades_data(
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2021-01-12 00:13:58 +00:00
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exchange, pairs=expanded_pairs, datadir=config['datadir'],
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2021-04-22 07:07:13 +00:00
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timerange=timerange, new_pairs_days=config['new_pairs_days'],
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erase=bool(config.get('erase')), data_format=config['dataformat_trades'])
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2020-01-26 12:17:26 +00:00
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# Convert downloaded trade data to different timeframes
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convert_trades_to_ohlcv(
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pairs=expanded_pairs, timeframes=config['timeframes'],
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2020-08-26 18:52:09 +00:00
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datadir=config['datadir'], timerange=timerange, erase=bool(config.get('erase')),
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2020-01-26 19:31:13 +00:00
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data_format_ohlcv=config['dataformat_ohlcv'],
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data_format_trades=config['dataformat_trades'],
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2021-01-12 00:13:58 +00:00
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)
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2020-01-26 12:17:26 +00:00
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else:
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2022-08-21 15:48:13 +00:00
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if not exchange.get_option('ohlcv_has_history', True):
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2022-05-14 07:10:38 +00:00
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raise OperationalException(
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f"Historic klines not available for {exchange.name}. "
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"Please use `--dl-trades` instead for this exchange "
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"(will unfortunately take a long time)."
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)
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2020-01-26 12:17:26 +00:00
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pairs_not_available = refresh_backtest_ohlcv_data(
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2021-01-12 00:13:58 +00:00
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exchange, pairs=expanded_pairs, timeframes=config['timeframes'],
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2021-04-22 07:07:13 +00:00
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datadir=config['datadir'], timerange=timerange,
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new_pairs_days=config['new_pairs_days'],
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2021-12-03 13:43:49 +00:00
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erase=bool(config.get('erase')), data_format=config['dataformat_ohlcv'],
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trading_mode=config.get('trading_mode', 'spot'),
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2022-04-30 15:24:57 +00:00
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prepend=config.get('prepend_data', False)
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2022-02-12 22:10:21 +00:00
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)
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2020-01-26 12:17:26 +00:00
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except KeyboardInterrupt:
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sys.exit("SIGINT received, aborting ...")
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finally:
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if pairs_not_available:
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logger.info(f"Pairs [{','.join(pairs_not_available)}] not available "
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f"on exchange {exchange.name}.")
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2020-01-26 19:31:13 +00:00
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2021-09-29 14:50:05 +00:00
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def start_convert_trades(args: Dict[str, Any]) -> None:
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config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
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timerange = TimeRange()
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# Remove stake-currency to skip checks which are not relevant for datadownload
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config['stake_currency'] = ''
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if 'pairs' not in config:
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raise OperationalException(
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"Downloading data requires a list of pairs. "
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"Please check the documentation on how to configure this.")
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# Init exchange
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exchange = ExchangeResolver.load_exchange(config['exchange']['name'], config, validate=False)
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# Manual validations of relevant settings
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if not config['exchange'].get('skip_pair_validation', False):
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exchange.validate_pairs(config['pairs'])
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expanded_pairs = expand_pairlist(config['pairs'], list(exchange.markets))
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logger.info(f"About to Convert pairs: {expanded_pairs}, "
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f"intervals: {config['timeframes']} to {config['datadir']}")
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for timeframe in config['timeframes']:
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exchange.validate_timeframes(timeframe)
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# Convert downloaded trade data to different timeframes
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convert_trades_to_ohlcv(
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pairs=expanded_pairs, timeframes=config['timeframes'],
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datadir=config['datadir'], timerange=timerange, erase=bool(config.get('erase')),
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data_format_ohlcv=config['dataformat_ohlcv'],
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data_format_trades=config['dataformat_trades'],
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)
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2020-01-26 19:31:13 +00:00
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def start_convert_data(args: Dict[str, Any], ohlcv: bool = True) -> None:
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"""
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Convert data from one format to another
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"""
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config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
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if ohlcv:
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2021-12-05 09:26:00 +00:00
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candle_types = [CandleType.from_string(ct) for ct in config.get('candle_types', ['spot'])]
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for candle_type in candle_types:
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convert_ohlcv_format(config,
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convert_from=args['format_from'], convert_to=args['format_to'],
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erase=args['erase'], candle_type=candle_type)
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2020-01-26 19:31:13 +00:00
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else:
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convert_trades_format(config,
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convert_from=args['format_from'], convert_to=args['format_to'],
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erase=args['erase'])
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2020-07-12 07:57:00 +00:00
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def start_list_data(args: Dict[str, Any]) -> None:
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"""
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List available backtest data
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"""
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config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
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from tabulate import tabulate
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2020-09-28 17:39:41 +00:00
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from freqtrade.data.history.idatahandler import get_datahandler
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2020-07-12 08:23:09 +00:00
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dhc = get_datahandler(config['datadir'], config['dataformat_ohlcv'])
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2022-03-03 06:06:13 +00:00
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paircombs = dhc.ohlcv_get_available_data(
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config['datadir'],
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config.get('trading_mode', TradingMode.SPOT)
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)
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2020-07-12 07:57:00 +00:00
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2020-07-14 04:55:34 +00:00
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if args['pairs']:
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paircombs = [comb for comb in paircombs if comb[0] in args['pairs']]
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2020-07-12 07:57:00 +00:00
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print(f"Found {len(paircombs)} pair / timeframe combinations.")
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2022-08-19 11:44:31 +00:00
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if not config.get('show_timerange'):
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groupedpair = defaultdict(list)
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for pair, timeframe, candle_type in sorted(
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paircombs,
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key=lambda x: (x[0], timeframe_to_minutes(x[1]), x[2])
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):
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groupedpair[(pair, candle_type)].append(timeframe)
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if groupedpair:
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print(tabulate([
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(pair, ', '.join(timeframes), candle_type)
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for (pair, candle_type), timeframes in groupedpair.items()
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],
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headers=("Pair", "Timeframe", "Type"),
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tablefmt='psql', stralign='right'))
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else:
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paircombs1 = [(
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pair, timeframe, candle_type,
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*dhc.ohlcv_data_min_max(pair, timeframe, candle_type)
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) for pair, timeframe, candle_type in paircombs]
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2021-11-21 04:46:47 +00:00
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print(tabulate([
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2022-08-19 11:44:31 +00:00
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(pair, timeframe, candle_type,
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start.strftime(DATETIME_PRINT_FORMAT),
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end.strftime(DATETIME_PRINT_FORMAT))
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for pair, timeframe, candle_type, start, end in paircombs1
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],
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headers=("Pair", "Timeframe", "Type", 'From', 'To'),
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2021-11-21 04:46:47 +00:00
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tablefmt='psql', stralign='right'))
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