diff --git a/docs/freqai-configuration.md b/docs/freqai-configuration.md
index 43c9fee75..6e2ed8379 100644
--- a/docs/freqai-configuration.md
+++ b/docs/freqai-configuration.md
@@ -43,10 +43,10 @@ The FreqAI strategy requires including the following lines of code in the standa
 
     def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
 
-        # the model will return all labels created by user in `set_freqai_labels()`
+        # the model will return all labels created by user in `set_freqai_targets()`
         # (& appended targets), an indication of whether or not the prediction should be accepted,
         # the target mean/std values for each of the labels created by user in
-        # `feature_engineering_*` for each training period.
+        # `set_freqai_targets()` for each training period.
 
         dataframe = self.freqai.start(dataframe, metadata, self)
 
diff --git a/freqtrade/templates/FreqaiExampleStrategy.py b/freqtrade/templates/FreqaiExampleStrategy.py
index 347efdda0..084cf2e89 100644
--- a/freqtrade/templates/FreqaiExampleStrategy.py
+++ b/freqtrade/templates/FreqaiExampleStrategy.py
@@ -232,7 +232,7 @@ class FreqaiExampleStrategy(IStrategy):
 
         # All indicators must be populated by feature_engineering_*() functions
 
-        # the model will return all labels created by user in `feature_engineering_*`
+        # the model will return all labels created by user in `set_freqai_targets()`
         # (& appended targets), an indication of whether or not the prediction should be accepted,
         # the target mean/std values for each of the labels created by user in
         # `set_freqai_targets()` for each training period.