support smaller timeframes
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@ -521,7 +521,7 @@ class SampleStrategy(IStrategy):
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# use ffill to have the 1d value available in every row throughout the day.
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# Without this, comparisons between columns of the original and the informative pair would only work once per day.
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# Full documentation of this method, see below
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dataframe = merge_informative_pair(dataframe, informative_pairs, self.timeframe, inf_tf, ffill=True)
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dataframe = merge_informative_pair(dataframe, informative, self.timeframe, inf_tf, ffill=True)
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# Calculate rsi of the original dataframe (5m timeframe)
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dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)
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@ -601,6 +601,10 @@ All columns of the informative dataframe will be available on the returning data
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```
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!!! Warning "Informative timeframe < timeframe"
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Using informative timeframes smaller than the dataframe timeframe is not recommended with this method, as it will not use any of the additional information this would provide.
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To use the more detailed information properly, more advanced methods should be applied (which are out of scope for freqtrade documentation, as it'll depend on the respective need).
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***
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## Additional data (Wallets)
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@ -26,7 +26,8 @@ def merge_informative_pair(dataframe: pd.DataFrame, informative: pd.DataFrame,
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"""
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minutes_inf = timeframe_to_minutes(timeframe_inf)
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if timeframe == timeframe_inf:
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minutes = timeframe_to_minutes(timeframe)
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if minutes >= minutes_inf:
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# No need to forwardshift if the timeframes are identical
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informative['date_merge'] = informative["date"]
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else:
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