diff --git a/assume/strategies/learning_strategies.py b/assume/strategies/learning_strategies.py
index 93635187..6aa67f89 100644
--- a/assume/strategies/learning_strategies.py
+++ b/assume/strategies/learning_strategies.py
@@ -53,10 +53,10 @@ def load_actor_params(self, load_path):
 
     def prepare_observations(self, unit, market_id):
         # scaling factors for the observations
-        upper_scaling_factor_res_load = max(unit.forecaster[f"price_{market_id}"])
-        lower_scaling_factor_res_load = min(unit.forecaster[f"price_{market_id}"])
-        upper_scaling_factor_price = max(unit.forecaster[f"residualy_load_{market_id}"])
-        lower_scaling_factor_price = min(unit.forecaster[f"residual_load_{market_id}"])
+        upper_scaling_factor_price = max(unit.forecaster[f"price_{market_id}"])
+        lower_scaling_factor_price = min(unit.forecaster[f"price_{market_id}"])
+        upper_scaling_factor_res_load = max(unit.forecaster[f"residual_load_{market_id}"])
+        lower_scaling_factor_res_load = min(unit.forecaster[f"residual_load_{market_id}"])
 
         self.scaled_res_load_obs = min_max_scale(
             unit.forecaster[f"residual_load_{market_id}"],