help futures go dry/live with auto download feature
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@ -400,7 +400,7 @@ The user can stratify the training/testing data using:
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}
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```
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which will split the data chronolocially so that every X data points is a testing data point. In the
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which will split the data chronologically so that every X data points is a testing data point. In the
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present example, the user is asking for every third data point in the dataframe to be used for
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testing, the other points are used for training.
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@ -715,10 +715,9 @@ class FreqaiDataKitchen:
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exchange = ExchangeResolver.load_exchange(self.config['exchange']['name'],
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self.config, validate=False)
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pairs = self.freqai_config.get('corr_pairlist', [])
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if metadata['pair'] not in pairs:
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pairs += metadata['pair'] # dont include pair twice
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# timerange = TimeRange.parse_timerange(new_timerange)
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pairs = copy.deepcopy(self.freqai_config.get('corr_pairlist', []))
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if str(metadata['pair']) not in pairs:
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pairs.append(str(metadata['pair']))
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refresh_backtest_ohlcv_data(
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exchange, pairs=pairs, timeframes=self.freqai_config.get('timeframes'),
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