diff --git a/freqtrade/freqai/data_kitchen.py b/freqtrade/freqai/data_kitchen.py index 8fd42ee85..b99447ac9 100644 --- a/freqtrade/freqai/data_kitchen.py +++ b/freqtrade/freqai/data_kitchen.py @@ -1021,20 +1021,11 @@ class FreqaiDataKitchen: Back fill values to before the backtesting range so that the dataframe matches size when it goes back to the strategy. These rows are not included in the backtest. """ - - # len_filler = len(dataframe) - len(self.full_df.index) # startup_candle_count - # filler_df = pd.DataFrame( - # np.zeros((len_filler, len(self.full_df.columns))), columns=self.full_df.columns - # ) - - # self.full_df = pd.concat([filler_df, self.full_df], axis=0, ignore_index=True) - to_keep = [col for col in dataframe.columns if not col.startswith("&")] - # self.return_dataframe = pd.concat([dataframe[to_keep], self.full_df], axis=1) - # self.full_df = DataFrame() - self.return_dataframe = pd.merge(dataframe[to_keep], self.full_df, how='left', on='date') + self.return_dataframe[self.full_df.columns] = ( + self.return_dataframe[self.full_df.columns].fillna(value=0)) self.full_df = DataFrame() return @@ -1368,12 +1359,13 @@ class FreqaiDataKitchen: if file_exists: append_df = self.get_backtesting_prediction() - if len(append_df) == len_backtest_df: + if len(append_df) == len_backtest_df and 'date' in append_df: logger.info(f"Found backtesting prediction file at {path_to_predictionfile}") return True else: logger.info("A new backtesting prediction file is required. " - "(Number of predictions is different from dataframe length).") + "(Number of predictions is different from dataframe length or " + "old prediction file version).") return False else: logger.info(