Introduce DatetimePrintFormat
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@@ -11,6 +11,7 @@ from typing import Any, Dict, List, NamedTuple, Optional, Tuple
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import arrow
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from pandas import DataFrame
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from freqtrade.constants import DATETIME_PRINT_FORMAT
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from freqtrade.configuration import (TimeRange, remove_credentials,
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validate_config_consistency)
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from freqtrade.data import history
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@@ -137,10 +138,10 @@ class Backtesting:
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min_date, max_date = history.get_timerange(data)
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logger.info(
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'Loading data from %s up to %s (%s days)..',
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min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days
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)
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logger.info(f'Loading data from {min_date.strftime(DATETIME_PRINT_FORMAT)} '
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f'up to {max_date.strftime(DATETIME_PRINT_FORMAT)} '
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f'({(max_date - min_date).days} days)..')
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# Adjust startts forward if not enough data is available
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timerange.adjust_start_if_necessary(timeframe_to_seconds(self.timeframe),
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self.required_startup, min_date)
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@@ -400,10 +401,9 @@ class Backtesting:
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preprocessed[pair] = trim_dataframe(df, timerange)
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min_date, max_date = history.get_timerange(preprocessed)
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logger.info(
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'Backtesting with data from %s up to %s (%s days)..',
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min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days
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)
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logger.info(f'Backtesting with data from {min_date.strftime(DATETIME_PRINT_FORMAT)} '
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f'up to {max_date.strftime(DATETIME_PRINT_FORMAT)} '
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f'({(max_date - min_date).days} days)..')
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# Execute backtest and print results
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all_results[self.strategy.get_strategy_name()] = self.backtest(
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processed=preprocessed,
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