Merge remote-tracking branch 'origin/develop' into dev-merge-rl
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@@ -264,7 +264,7 @@ class FreqaiDataDrawer:
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def append_model_predictions(self, pair: str, predictions: DataFrame,
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do_preds: NDArray[np.int_],
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dk: FreqaiDataKitchen, len_df: int) -> None:
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dk: FreqaiDataKitchen, strat_df: DataFrame) -> None:
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"""
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Append model predictions to historic predictions dataframe, then set the
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strategy return dataframe to the tail of the historic predictions. The length of
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@@ -273,6 +273,7 @@ class FreqaiDataDrawer:
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historic predictions.
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"""
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len_df = len(strat_df)
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index = self.historic_predictions[pair].index[-1:]
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columns = self.historic_predictions[pair].columns
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@@ -300,6 +301,15 @@ class FreqaiDataDrawer:
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for return_str in rets:
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df[return_str].iloc[-1] = rets[return_str]
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# this logic carries users between version without needing to
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# change their identifier
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if 'close_price' not in df.columns:
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df['close_price'] = np.nan
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df['date_pred'] = np.nan
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df['close_price'].iloc[-1] = strat_df['close'].iloc[-1]
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df['date_pred'].iloc[-1] = strat_df['date'].iloc[-1]
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self.model_return_values[pair] = df.tail(len_df).reset_index(drop=True)
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def attach_return_values_to_return_dataframe(
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@@ -407,7 +407,7 @@ class IFreqaiModel(ABC):
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# allows FreqUI to show full return values.
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pred_df, do_preds = self.predict(dataframe, dk)
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if pair not in self.dd.historic_predictions:
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self.set_initial_historic_predictions(pred_df, dk, pair)
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self.set_initial_historic_predictions(pred_df, dk, pair, dataframe)
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self.dd.set_initial_return_values(pair, pred_df)
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dk.return_dataframe = self.dd.attach_return_values_to_return_dataframe(pair, dataframe)
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@@ -428,7 +428,7 @@ class IFreqaiModel(ABC):
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if self.freqai_info.get('fit_live_predictions_candles', 0) and self.live:
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self.fit_live_predictions(dk, pair)
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self.dd.append_model_predictions(pair, pred_df, do_preds, dk, len(dataframe))
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self.dd.append_model_predictions(pair, pred_df, do_preds, dk, dataframe)
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dk.return_dataframe = self.dd.attach_return_values_to_return_dataframe(pair, dataframe)
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return
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@@ -597,7 +597,7 @@ class IFreqaiModel(ABC):
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self.dd.purge_old_models()
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def set_initial_historic_predictions(
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self, pred_df: DataFrame, dk: FreqaiDataKitchen, pair: str
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self, pred_df: DataFrame, dk: FreqaiDataKitchen, pair: str, strat_df: DataFrame
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) -> None:
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"""
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This function is called only if the datadrawer failed to load an
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@@ -640,6 +640,9 @@ class IFreqaiModel(ABC):
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for return_str in dk.data['extra_returns_per_train']:
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hist_preds_df[return_str] = 0
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hist_preds_df['close_price'] = strat_df['close']
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hist_preds_df['date_pred'] = strat_df['date']
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# # for keras type models, the conv_window needs to be prepended so
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# # viewing is correct in frequi
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if self.freqai_info.get('keras', False) or self.ft_params.get('inlier_metric_window', 0):
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