diff --git a/freqtrade/freqai/data_drawer.py b/freqtrade/freqai/data_drawer.py
index 14986d854..c51f21647 100644
--- a/freqtrade/freqai/data_drawer.py
+++ b/freqtrade/freqai/data_drawer.py
@@ -74,8 +74,10 @@ class FreqaiDataDrawer:
         self.historic_predictions: Dict[str, DataFrame] = {}
         self.full_path = full_path
         self.historic_predictions_path = Path(self.full_path / "historic_predictions.pkl")
-        self.historic_predictions_bkp_path = Path(
-            self.full_path / "historic_predictions.backup.pkl")
+        self.historic_predictions_path_parquet = Path(
+            self.full_path / "historic_predictions.parquet")
+        self.historic_predictions_bkp_path_parquet = Path(
+            self.full_path / "historic_predictions.backup.parquet")
         self.pair_dictionary_path = Path(self.full_path / "pair_dictionary.json")
         self.global_metadata_path = Path(self.full_path / "global_metadata.json")
         self.metric_tracker_path = Path(self.full_path / "metric_tracker.json")
@@ -163,11 +165,12 @@ class FreqaiDataDrawer:
         Locate and load a previously saved historic predictions.
         :return: bool - whether or not the drawer was located
         """
-        exists = self.historic_predictions_path.is_file()
+        exists = self.historic_predictions_path_parquet.is_file()
+        convert = self.historic_predictions_path.is_file()
+
         if exists:
             try:
-                with self.historic_predictions_path.open("rb") as fp:
-                    self.historic_predictions = cloudpickle.load(fp)
+                self.historic_predictions = pd.read_parquet(self.historic_predictions_path_parquet)
                 logger.info(
                     f"Found existing historic predictions at {self.full_path}, but beware "
                     "that statistics may be inaccurate if the bot has been offline for "
@@ -176,12 +179,23 @@ class FreqaiDataDrawer:
             except EOFError:
                 logger.warning(
                     'Historical prediction file was corrupted. Trying to load backup file.')
-                with self.historic_predictions_bkp_path.open("rb") as fp:
-                    self.historic_predictions = cloudpickle.load(fp)
+                self.historic_predictions = pd.read_parquet(
+                    self.historic_predictions_bkp_path_parquet)
                 logger.warning('FreqAI successfully loaded the backup historical predictions file.')
 
+        elif not exists and convert:
+            logger.info("Converting your historic predictions pkl to parquet"
+                        "to improve performance.")
+            with Path.open(self.historic_predictions_path, "rb") as fp:
+                self.historic_predictions = cloudpickle.load(fp)
+            self.historic_predictions.to_parquet(self.historic_predictions_path_parquet)
+            exists = True
+
         else:
-            logger.info("Could not find existing historic_predictions, starting from scratch")
+            logger.warning(
+                f"Follower could not find historic predictions at {self.full_path} "
+                "sending null values back to strategy"
+            )
 
         return exists
 
@@ -189,11 +203,10 @@ class FreqaiDataDrawer:
         """
         Save historic predictions pickle to disk
         """
-        with self.historic_predictions_path.open("wb") as fp:
-            cloudpickle.dump(self.historic_predictions, fp, protocol=cloudpickle.DEFAULT_PROTOCOL)
+        self.historic_predictions.to_parquet(self.historic_predictions_path_parquet)
 
         # create a backup
-        shutil.copy(self.historic_predictions_path, self.historic_predictions_bkp_path)
+        shutil.copy(self.historic_predictions_path, self.historic_predictions_bkp_path_parquet)
 
     def save_metric_tracker_to_disk(self):
         """