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chore: use dt_now in backtesting

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Matthias
2025-02-07 20:39:14 +01:00
parent 9a22e5c775
commit 7f7cff85c1
1 changed files with 8 additions and 8 deletions
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freqtrade/optimize/backtesting.py
+8 -8
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@@ -7,7 +7,7 @@ This module contains the backtesting logic
import logging import logging
from collections import defaultdict from collections import defaultdict
from copy import deepcopy from copy import deepcopy
from datetime import datetime, timedelta, timezone from datetime import datetime, timedelta
from typing import Any from typing import Any
from numpy import nan from numpy import nan
@@ -63,7 +63,7 @@ from freqtrade.plugins.protectionmanager import ProtectionManager
from freqtrade.resolvers import ExchangeResolver, StrategyResolver from freqtrade.resolvers import ExchangeResolver, StrategyResolver
from freqtrade.strategy.interface import IStrategy from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
from freqtrade.util import FtPrecise from freqtrade.util import FtPrecise, dt_now
from freqtrade.util.migrations import migrate_data from freqtrade.util.migrations import migrate_data
from freqtrade.wallets import Wallets from freqtrade.wallets import Wallets
@@ -1656,7 +1656,7 @@ class Backtesting:
self.progress.init_step(BacktestState.ANALYZE, 0) self.progress.init_step(BacktestState.ANALYZE, 0)
strategy_name = strat.get_strategy_name() strategy_name = strat.get_strategy_name()
logger.info(f"Running backtesting for Strategy {strategy_name}") logger.info(f"Running backtesting for Strategy {strategy_name}")
backtest_start_time = datetime.now(timezone.utc) backtest_start_time = dt_now()
self._set_strategy(strat) self._set_strategy(strat)
# need to reprocess data every time to populate signals # need to reprocess data every time to populate signals
@@ -1683,7 +1683,7 @@ class Backtesting:
start_date=min_date, start_date=min_date,
end_date=max_date, end_date=max_date,
) )
backtest_end_time = datetime.now(timezone.utc) backtest_end_time = dt_now()
results.update( results.update(
{ {
"run_id": self.run_ids.get(strategy_name, ""), "run_id": self.run_ids.get(strategy_name, ""),
@@ -1710,14 +1710,14 @@ class Backtesting:
def _get_min_cached_backtest_date(self): def _get_min_cached_backtest_date(self):
min_backtest_date = None min_backtest_date = None
backtest_cache_age = self.config.get("backtest_cache", constants.BACKTEST_CACHE_DEFAULT) backtest_cache_age = self.config.get("backtest_cache", constants.BACKTEST_CACHE_DEFAULT)
if self.timerange.stopts == 0 or self.timerange.stopdt > datetime.now(tz=timezone.utc): if self.timerange.stopts == 0 or self.timerange.stopdt > dt_now():
logger.warning("Backtest result caching disabled due to use of open-ended timerange.") logger.warning("Backtest result caching disabled due to use of open-ended timerange.")
elif backtest_cache_age == "day": elif backtest_cache_age == "day":
min_backtest_date = datetime.now(tz=timezone.utc) - timedelta(days=1) min_backtest_date = dt_now() - timedelta(days=1)
elif backtest_cache_age == "week": elif backtest_cache_age == "week":
min_backtest_date = datetime.now(tz=timezone.utc) - timedelta(weeks=1) min_backtest_date = dt_now() - timedelta(weeks=1)
elif backtest_cache_age == "month": elif backtest_cache_age == "month":
min_backtest_date = datetime.now(tz=timezone.utc) - timedelta(weeks=4) min_backtest_date = dt_now() - timedelta(weeks=4)
return min_backtest_date return min_backtest_date
def load_prior_backtest(self): def load_prior_backtest(self):