diff --git a/freqtrade/freqai/prediction_models/LightGBMClassifier.py b/freqtrade/freqai/prediction_models/LightGBMClassifier.py
index 75bbe2d1a..0b78c4129 100644
--- a/freqtrade/freqai/prediction_models/LightGBMClassifier.py
+++ b/freqtrade/freqai/prediction_models/LightGBMClassifier.py
@@ -1,4 +1,5 @@
 import logging
+from collections.abc import Callable
 from typing import Any
 
 from lightgbm import LGBMClassifier
@@ -48,7 +49,7 @@ class LightGBMClassifier(BaseClassifierModel):
 
         model = LGBMClassifier(**self.model_training_parameters)
         activate_tensorboard = self.freqai_info.get("activate_tensorboard", True)
-        callbacks = []
+        callbacks: list[Callable[..., Any]] = []
         if LightGBMCallback is not None:
             callbacks = [LightGBMCallback(dk.data_path, activate_tensorboard)]
         model.fit(
diff --git a/freqtrade/freqai/prediction_models/LightGBMRegressor.py b/freqtrade/freqai/prediction_models/LightGBMRegressor.py
index af89d4825..abd838eee 100644
--- a/freqtrade/freqai/prediction_models/LightGBMRegressor.py
+++ b/freqtrade/freqai/prediction_models/LightGBMRegressor.py
@@ -1,4 +1,5 @@
 import logging
+from collections.abc import Callable
 from typing import Any
 
 from lightgbm import LGBMRegressor
@@ -44,7 +45,7 @@ class LightGBMRegressor(BaseRegressionModel):
         model = LGBMRegressor(**self.model_training_parameters)
 
         activate_tensorboard = self.freqai_info.get("activate_tensorboard", True)
-        callbacks = []
+        callbacks: list[Callable[..., Any]] = []
         if LightGBMCallback is not None:
             callbacks = [LightGBMCallback(dk.data_path, activate_tensorboard)]