diff --git a/freqtrade/freqai/data_drawer.py b/freqtrade/freqai/data_drawer.py
index aecab0640..8d31586fe 100644
--- a/freqtrade/freqai/data_drawer.py
+++ b/freqtrade/freqai/data_drawer.py
@@ -24,6 +24,7 @@ from freqtrade.exceptions import OperationalException
 from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
 from freqtrade.strategy.interface import IStrategy
 
+
 logger = logging.getLogger(__name__)
 
 
@@ -89,8 +90,8 @@ class FreqaiDataDrawer:
         self.metric_tracker_lock = threading.Lock()
         self.old_DBSCAN_eps: Dict[str, float] = {}
         self.empty_pair_dict: pair_info = {
-            "model_filename": "", "trained_timestamp": 0,
-            "data_path": "", "extras": {}}
+                "model_filename": "", "trained_timestamp": 0,
+                "data_path": "", "extras": {}}
         self.model_type = self.freqai_info.get('model_save_type', 'joblib')
 
     def update_metric_tracker(self, metric: str, value: float, pair: str) -> None:
@@ -580,16 +581,16 @@ class FreqaiDataDrawer:
                     if len(df_dp.index) == 0:
                         continue
                     if str(hist_df.iloc[-1]["date"]) == str(
-                            df_dp.iloc[-1:]["date"].iloc[-1]
+                        df_dp.iloc[-1:]["date"].iloc[-1]
                     ):
                         continue
 
                     try:
                         index = (
-                                df_dp.loc[
-                                    df_dp["date"] == hist_df.iloc[-1]["date"]
-                                    ].index[0]
-                                + 1
+                            df_dp.loc[
+                                df_dp["date"] == hist_df.iloc[-1]["date"]
+                            ].index[0]
+                            + 1
                         )
                     except IndexError:
                         if hist_df.iloc[-1]['date'] < df_dp['date'].iloc[0]:
@@ -642,7 +643,7 @@ class FreqaiDataDrawer:
                 )
 
     def get_base_and_corr_dataframes(
-            self, timerange: TimeRange, pair: str, dk: FreqaiDataKitchen
+        self, timerange: TimeRange, pair: str, dk: FreqaiDataKitchen
     ) -> Tuple[Dict[Any, Any], Dict[Any, Any]]:
         """
         Searches through our historic_data in memory and returns the dataframes relevant