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Use preprocessed to get min/max date in hyperopt
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@ -152,6 +152,10 @@ class Backtesting:
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self.strategy.order_types['stoploss_on_exchange'] = False
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def load_bt_data(self) -> Tuple[Dict[str, DataFrame], TimeRange]:
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"""
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Loads backtest data and returns the data combined with the timerange
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as tuple.
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"""
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timerange = TimeRange.parse_timerange(None if self.config.get(
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'timerange') is None else str(self.config.get('timerange')))
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@ -650,7 +650,7 @@ class Hyperopt:
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# Trim startup period from analyzed dataframe
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for pair, df in preprocessed.items():
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preprocessed[pair] = trim_dataframe(df, timerange)
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min_date, max_date = get_timerange(data)
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min_date, max_date = get_timerange(preprocessed)
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logger.info(f'Hyperopting 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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