Add buy / sell signal count to dataframe interface
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350fcc071e
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@ -659,15 +659,19 @@ class RPC:
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def _convert_dataframe_to_dict(self, strategy: str, pair: str, timeframe: str,
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dataframe: DataFrame, last_analyzed: datetime) -> Dict[str, Any]:
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has_content = len(dataframe) != 0
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buy_signals = 0
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sell_signals = 0
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if has_content:
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dataframe.loc[:, '__date_ts'] = dataframe.loc[:, 'date'].astype(int64) // 1000 // 1000
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# Move open to seperate column when signal for easy plotting
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if 'buy' in dataframe.columns:
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buy_mask = (dataframe['buy'] == 1)
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buy_signals = int(buy_mask.sum())
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dataframe.loc[buy_mask, '_buy_signal_open'] = dataframe.loc[buy_mask, 'open']
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if 'sell' in dataframe.columns:
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sell_mask = (dataframe['sell'] == 1)
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sell_signals = int(sell_mask.sum())
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dataframe.loc[sell_mask, '_sell_signal_open'] = dataframe.loc[sell_mask, 'open']
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dataframe = dataframe.replace({NAN: None})
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@ -679,6 +683,8 @@ class RPC:
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'columns': list(dataframe.columns),
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'data': dataframe.values.tolist(),
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'length': len(dataframe),
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'buy_signals': buy_signals,
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'sell_signals': sell_signals,
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'last_analyzed': last_analyzed,
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'last_analyzed_ts': int(last_analyzed.timestamp()),
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'data_start': '',
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