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Slightly reword documentation to be more clear
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@ -227,8 +227,8 @@ for val in self.buy_ema_short.range:
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f'ema_short_{val}': ta.EMA(dataframe, timeperiod=val)
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}))
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# Append columns to existing dataframe
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merged_frame = pd.concat(frames, axis=1)
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# Combine all dataframes, and reassign the original dataframe column
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dataframe = pd.concat(frames, axis=1)
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```
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Freqtrade does however also counter this by running `dataframe.copy()` on the dataframe right after the `populate_indicators()` method - so performance implications of this should be low to non-existant.
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