mirror of
https://github.com/freqtrade/freqtrade.git
synced 2024-11-16 05:03:55 +00:00
231 lines
7.6 KiB
Python
231 lines
7.6 KiB
Python
import logging
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import sys
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from collections import defaultdict
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from typing import Any
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from freqtrade.constants import DATETIME_PRINT_FORMAT, DL_DATA_TIMEFRAMES, Config
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from freqtrade.enums import CandleType, RunMode, TradingMode
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from freqtrade.exceptions import ConfigurationError
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from freqtrade.plugins.pairlist.pairlist_helpers import dynamic_expand_pairlist
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logger = logging.getLogger(__name__)
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def _check_data_config_download_sanity(config: Config) -> None:
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if "days" in config and "timerange" in config:
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raise ConfigurationError(
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"--days and --timerange are mutually exclusive. "
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"You can only specify one or the other."
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)
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if "pairs" not in config:
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raise ConfigurationError(
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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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)
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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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from freqtrade.configuration import setup_utils_configuration
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from freqtrade.data.history import download_data_main
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config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
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_check_data_config_download_sanity(config)
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try:
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download_data_main(config)
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except KeyboardInterrupt:
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sys.exit("SIGINT received, aborting ...")
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def start_convert_trades(args: dict[str, Any]) -> None:
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from freqtrade.configuration import TimeRange, setup_utils_configuration
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from freqtrade.data.converter import convert_trades_to_ohlcv
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from freqtrade.resolvers import ExchangeResolver
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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 "timeframes" not in config:
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config["timeframes"] = DL_DATA_TIMEFRAMES
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# Init exchange
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exchange = ExchangeResolver.load_exchange(config, validate=False)
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# Manual validations of relevant settings
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for timeframe in config["timeframes"]:
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exchange.validate_timeframes(timeframe)
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available_pairs = [
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p
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for p in exchange.get_markets(
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tradable_only=True, active_only=not config.get("include_inactive")
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).keys()
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]
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expanded_pairs = dynamic_expand_pairlist(config, available_pairs)
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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,
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timeframes=config["timeframes"],
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datadir=config["datadir"],
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timerange=timerange,
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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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candle_type=config.get("candle_type_def", CandleType.SPOT),
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)
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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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from freqtrade.configuration import setup_utils_configuration
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from freqtrade.data.converter import convert_ohlcv_format, convert_trades_format
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from freqtrade.util.migrations import migrate_data
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config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
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if ohlcv:
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migrate_data(config)
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convert_ohlcv_format(
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config,
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convert_from=args["format_from"],
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convert_to=args["format_to"],
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erase=args["erase"],
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)
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else:
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convert_trades_format(
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config,
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convert_from=args["format_from_trades"],
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convert_to=args["format_to"],
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erase=args["erase"],
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)
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def start_list_data(args: dict[str, Any]) -> None:
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"""
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List available OHLCV data
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"""
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from freqtrade.configuration import setup_utils_configuration
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from freqtrade.exchange import timeframe_to_minutes
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from freqtrade.util import print_rich_table
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if args["trades"]:
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start_list_trades_data(args)
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return
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config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
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from freqtrade.data.history import get_datahandler
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dhc = get_datahandler(config["datadir"], config["dataformat_ohlcv"])
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paircombs = dhc.ohlcv_get_available_data(
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config["datadir"], config.get("trading_mode", TradingMode.SPOT)
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)
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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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title = f"Found {len(paircombs)} pair / timeframe combinations."
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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, 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_rich_table(
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[
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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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("Pair", "Timeframe", "Type"),
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title,
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table_kwargs={"min_width": 50},
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)
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else:
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paircombs1 = [
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(pair, timeframe, candle_type, *dhc.ohlcv_data_min_max(pair, timeframe, candle_type))
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for pair, timeframe, candle_type in paircombs
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]
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print_rich_table(
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[
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(
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pair,
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timeframe,
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candle_type,
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start.strftime(DATETIME_PRINT_FORMAT),
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end.strftime(DATETIME_PRINT_FORMAT),
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str(length),
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)
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for pair, timeframe, candle_type, start, end, length in sorted(
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paircombs1, key=lambda x: (x[0], timeframe_to_minutes(x[1]), x[2])
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)
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],
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("Pair", "Timeframe", "Type", "From", "To", "Candles"),
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summary=title,
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table_kwargs={"min_width": 50},
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)
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def start_list_trades_data(args: dict[str, Any]) -> None:
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"""
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List available Trades data
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"""
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from freqtrade.configuration import setup_utils_configuration
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from freqtrade.misc import plural
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from freqtrade.util import print_rich_table
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config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
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from freqtrade.data.history import get_datahandler
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dhc = get_datahandler(config["datadir"], config["dataformat_trades"])
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paircombs = dhc.trades_get_available_data(
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config["datadir"], config.get("trading_mode", TradingMode.SPOT)
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)
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if args["pairs"]:
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paircombs = [comb for comb in paircombs if comb in args["pairs"]]
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title = f"Found trades data for {len(paircombs)} {plural(len(paircombs), 'pair')}."
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if not config.get("show_timerange"):
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print_rich_table(
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[(pair, config.get("candle_type_def", CandleType.SPOT)) for pair in sorted(paircombs)],
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("Pair", "Type"),
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title,
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table_kwargs={"min_width": 50},
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)
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else:
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paircombs1 = [
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(pair, *dhc.trades_data_min_max(pair, config.get("trading_mode", TradingMode.SPOT)))
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for pair in paircombs
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]
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print_rich_table(
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[
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(
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pair,
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config.get("candle_type_def", CandleType.SPOT),
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start.strftime(DATETIME_PRINT_FORMAT),
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end.strftime(DATETIME_PRINT_FORMAT),
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str(length),
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)
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for pair, start, end, length in sorted(paircombs1, key=lambda x: (x[0]))
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],
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("Pair", "Type", "From", "To", "Trades"),
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summary=title,
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table_kwargs={"min_width": 50},
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)
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