diff --git a/freqtrade/freqai/data_kitchen.py b/freqtrade/freqai/data_kitchen.py
index 861a3c366..29fda266d 100644
--- a/freqtrade/freqai/data_kitchen.py
+++ b/freqtrade/freqai/data_kitchen.py
@@ -1299,54 +1299,3 @@ class FreqaiDataKitchen:
             "pairs_end_dates": pairs_end_dates
             }
         return
-
-    # def get_timerange_from_ready_models(self, models_path: Path):
-    #     all_models_end_dates = []
-    #     pairs_end_dates: Dict[str, Any] = {}
-    #     for model_dir in models_path.iterdir():
-    #         if str(model_dir.name).startswith("sub-train"):
-    #             model_end_date = int(model_dir.name.split("_")[1])
-    #             pair = model_dir.name.split("_")[0].replace("sub-train-", "")
-    #             model_file_name = (f"cb_{str(model_dir.name).replace('sub-train-', '').lower()}"
-    #                                 "_model.joblib")
-
-    #             model_path_file = Path(model_dir / model_file_name)
-    #             if model_path_file.is_file():
-    #                 if pair not in pairs_end_dates:
-    #                     pairs_end_dates[pair] = []
-
-    #                 pairs_end_dates[pair].append({
-    #                     "model_end_date": model_end_date,
-    #                     "model_path_file": model_path_file,
-    #                     "model_dir": model_dir
-    #                 })
-
-    #                 if model_end_date not in all_models_end_dates:
-    #                     all_models_end_dates.append(model_end_date)
-
-    #     if len(all_models_end_dates) == 0:
-    #         raise OperationalException(
-    #             'At least 1 saved model is required to '
-    #             'run backtesting with the backtest_live_models option'
-    #             )
-
-    #     if len(all_models_end_dates) == 1:
-    #         logger.warning(f"Only 1 model was found. Backtesting will run with the "
-    #                        "timerange from the end of the training date to the current date")
-
-    #     finish_timestamp = int(datetime.now(tz=timezone.utc).timestamp())
-    #     if len(all_models_end_dates) > 1:
-    #         # After last model end date, use the same period from previous model
-    #         # to finish the backtest
-    #         all_models_end_dates.sort(reverse=True)
-    #         finish_timestamp = all_models_end_dates[0] + \
-    #             (all_models_end_dates[0] - all_models_end_dates[1])
-
-    #     all_models_end_dates.append(finish_timestamp)
-    #     all_models_end_dates.sort()
-    #     start = datetime.fromtimestamp(min(all_models_end_dates), tz=timezone.utc)
-    #     stop = datetime.fromtimestamp(max(all_models_end_dates), tz=timezone.utc)
-    #     backtesting_string_timerange = f"{start.strftime('%Y%m%d')}-{stop.strftime('%Y%m%d')}"
-    #     backtesting_timerange = TimeRange('date', 'date', min(all_models_end_dates),
-    #                                       max(all_models_end_dates))
-    #     return backtesting_timerange, backtesting_string_timerange, pairs_end_dates