diff --git a/docs/assets/weights_factor.png b/docs/assets/weights_factor.png
new file mode 100644
index 000000000..1171a49ba
Binary files /dev/null and b/docs/assets/weights_factor.png differ
diff --git a/freqtrade/freqai/data_kitchen.py b/freqtrade/freqai/data_kitchen.py
index 58b14b9f1..69a311925 100644
--- a/freqtrade/freqai/data_kitchen.py
+++ b/freqtrade/freqai/data_kitchen.py
@@ -675,7 +675,7 @@ class FreqaiDataKitchen:
     def check_if_new_training_required(self, trained_timestamp: int) -> Tuple[bool, TimeRange]:
 
         time = datetime.datetime.now(tz=datetime.timezone.utc).timestamp()
-        trained_timerange = TimeRange('date', 'date')
+        trained_timerange = TimeRange()
         if trained_timestamp != 0:
             elapsed_time = (time - trained_timestamp) / SECONDS_IN_DAY
             retrain = elapsed_time > self.freqai_config.get('backtest_period')
diff --git a/freqtrade/freqai/freqai_interface.py b/freqtrade/freqai/freqai_interface.py
index 75c00988f..3e737e5e7 100644
--- a/freqtrade/freqai/freqai_interface.py
+++ b/freqtrade/freqai/freqai_interface.py
@@ -187,7 +187,8 @@ class IFreqaiModel(ABC):
         (model_filename,
          trained_timestamp,
          coin_first) = self.data_drawer.get_pair_dict_info(metadata)
-
+        if self.training_on_separate_thread:
+            print('debug_here')
         if not self.training_on_separate_thread:
             file_exists = False