Merge branch 'develop' into feat/short
This commit is contained in:
@@ -2,6 +2,8 @@
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Helpers when analyzing backtest data
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"""
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import logging
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from copy import copy
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any, Dict, List, Optional, Tuple, Union
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@@ -10,7 +12,7 @@ import pandas as pd
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from freqtrade.constants import LAST_BT_RESULT_FN
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from freqtrade.exceptions import OperationalException
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from freqtrade.misc import json_load
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from freqtrade.misc import get_backtest_metadata_filename, json_load
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from freqtrade.persistence import LocalTrade, Trade, init_db
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@@ -100,10 +102,30 @@ def get_latest_hyperopt_file(directory: Union[Path, str], predef_filename: str =
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if isinstance(directory, str):
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directory = Path(directory)
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if predef_filename:
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if Path(predef_filename).is_absolute():
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raise OperationalException(
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"--hyperopt-filename expects only the filename, not an absolute path.")
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return directory / predef_filename
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return directory / get_latest_hyperopt_filename(directory)
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def load_backtest_metadata(filename: Union[Path, str]) -> Dict[str, Any]:
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"""
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Read metadata dictionary from backtest results file without reading and deserializing entire
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file.
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:param filename: path to backtest results file.
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:return: metadata dict or None if metadata is not present.
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"""
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filename = get_backtest_metadata_filename(filename)
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try:
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with filename.open() as fp:
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return json_load(fp)
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except FileNotFoundError:
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return {}
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except Exception as e:
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raise OperationalException('Unexpected error while loading backtest metadata.') from e
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def load_backtest_stats(filename: Union[Path, str]) -> Dict[str, Any]:
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"""
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Load backtest statistics file.
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@@ -120,9 +142,80 @@ def load_backtest_stats(filename: Union[Path, str]) -> Dict[str, Any]:
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with filename.open() as file:
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data = json_load(file)
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# Legacy list format does not contain metadata.
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if isinstance(data, dict):
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data['metadata'] = load_backtest_metadata(filename)
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return data
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def _load_and_merge_backtest_result(strategy_name: str, filename: Path, results: Dict[str, Any]):
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bt_data = load_backtest_stats(filename)
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for k in ('metadata', 'strategy'):
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results[k][strategy_name] = bt_data[k][strategy_name]
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comparison = bt_data['strategy_comparison']
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for i in range(len(comparison)):
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if comparison[i]['key'] == strategy_name:
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results['strategy_comparison'].append(comparison[i])
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break
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def find_existing_backtest_stats(dirname: Union[Path, str], run_ids: Dict[str, str],
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min_backtest_date: datetime = None) -> Dict[str, Any]:
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"""
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Find existing backtest stats that match specified run IDs and load them.
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:param dirname: pathlib.Path object, or string pointing to the file.
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:param run_ids: {strategy_name: id_string} dictionary.
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:param min_backtest_date: do not load a backtest older than specified date.
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:return: results dict.
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"""
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# Copy so we can modify this dict without affecting parent scope.
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run_ids = copy(run_ids)
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dirname = Path(dirname)
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results: Dict[str, Any] = {
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'metadata': {},
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'strategy': {},
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'strategy_comparison': [],
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}
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# Weird glob expression here avoids including .meta.json files.
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for filename in reversed(sorted(dirname.glob('backtest-result-*-[0-9][0-9].json'))):
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metadata = load_backtest_metadata(filename)
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if not metadata:
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# Files are sorted from newest to oldest. When file without metadata is encountered it
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# is safe to assume older files will also not have any metadata.
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break
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for strategy_name, run_id in list(run_ids.items()):
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strategy_metadata = metadata.get(strategy_name, None)
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if not strategy_metadata:
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# This strategy is not present in analyzed backtest.
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continue
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if min_backtest_date is not None:
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try:
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backtest_date = strategy_metadata['backtest_start_time']
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except KeyError:
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# TODO: this can be removed starting from feb 2022
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# The metadata-file without start_time was only available in develop
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# and was never included in an official release.
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# Older metadata format without backtest time, too old to consider.
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return results
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backtest_date = datetime.fromtimestamp(backtest_date, tz=timezone.utc)
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if backtest_date < min_backtest_date:
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# Do not use a cached result for this strategy as first result is too old.
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del run_ids[strategy_name]
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continue
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if strategy_metadata['run_id'] == run_id:
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del run_ids[strategy_name]
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_load_and_merge_backtest_result(strategy_name, filename, results)
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if len(run_ids) == 0:
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break
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return results
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def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = None) -> pd.DataFrame:
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"""
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Load backtest data file.
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