diff --git a/freqtrade/freqai/data_drawer.py b/freqtrade/freqai/data_drawer.py
index 0c1f18890..6527eed98 100644
--- a/freqtrade/freqai/data_drawer.py
+++ b/freqtrade/freqai/data_drawer.py
@@ -230,7 +230,7 @@ class FreqaiDataDrawer:
         # dynamic df returned to strategy and plotted in frequi
         mrv_df = self.model_return_values[pair] = pd.DataFrame()
 
-        # if user reused `idenfitier` in config and has historical predictions collected, loadthem
+        # if user reused `identifier` in config and has historical predictions collected, load them
         # so that frequi remains uninterrupted after a crash
         hist_df = self.historic_predictions
         if pair in hist_df:
diff --git a/freqtrade/freqai/freqai_interface.py b/freqtrade/freqai/freqai_interface.py
index f5015c1b4..248484b05 100644
--- a/freqtrade/freqai/freqai_interface.py
+++ b/freqtrade/freqai/freqai_interface.py
@@ -526,7 +526,7 @@ class IFreqaiModel(ABC):
         this function will not be called. In that case, "real" predictions
         will be appended to the loaded set of historic predictions.
         :param: df: DataFrame = the dataframe containing the training feature data
-        :param: model: Any = A model which was `fit` using a common librariy such as
+        :param: model: Any = A model which was `fit` using a common library such as
         catboost or lightgbm
         :param: dk: FreqaiDataKitchen = object containing methods for data analysis
         :param: pair: str = current pair