diff --git a/freqtrade/freqai/data_kitchen.py b/freqtrade/freqai/data_kitchen.py
index 4554a5c1a..6541261eb 100644
--- a/freqtrade/freqai/data_kitchen.py
+++ b/freqtrade/freqai/data_kitchen.py
@@ -816,7 +816,7 @@ class FreqaiDataKitchen:
             return False
 
     def check_if_new_training_required(
-        self, trained_timestamp: int = 0
+        self, trained_timestamp: int
     ) -> Tuple[bool, TimeRange, TimeRange]:
 
         time = datetime.datetime.now(tz=datetime.timezone.utc).timestamp()
diff --git a/freqtrade/freqai/freqai_interface.py b/freqtrade/freqai/freqai_interface.py
index 5d85cc225..1a9e549f6 100644
--- a/freqtrade/freqai/freqai_interface.py
+++ b/freqtrade/freqai/freqai_interface.py
@@ -276,14 +276,8 @@ class IFreqaiModel(ABC):
             )
             dk.set_paths(metadata["pair"], new_trained_timerange.stopts)
 
-            # download candle history if it is not already in memory
+            # load candle history into memory if it is not yet.
             if not self.dd.historic_data:
-                # logger.info(
-                #     "Downloading all training data for all pairs in whitelist and "
-                #     "corr_pairlist, this may take a while if you do not have the "
-                #     "data saved"
-                # )
-                # dk.download_all_data_for_training(data_load_timerange, strategy.dp)
                 self.dd.load_all_pair_histories(data_load_timerange, dk)
 
             if not self.scanning: