diff --git a/src/akkudoktoreos/prediction/price_forecast.py b/src/akkudoktoreos/prediction/price_forecast.py
index 059f833..9e4d880 100644
--- a/src/akkudoktoreos/prediction/price_forecast.py
+++ b/src/akkudoktoreos/prediction/price_forecast.py
@@ -98,6 +98,7 @@ class HourlyElectricityPriceForecast:
 
         # Extract the price from 00:00 of the previous day
         previous_day_prices = [
+            entry["marketprice"]  # + self.charges
             entry["marketprice"]  # + self.charges
             for entry in self.prices
             if previous_day_str in entry["end"]
@@ -106,6 +107,7 @@ class HourlyElectricityPriceForecast:
 
         # Extract all prices for the specified date
         date_prices = [
+            entry["marketprice"]  # + self.charges
             entry["marketprice"]  # + self.charges
             for entry in self.prices
             if date_str in entry["end"]
@@ -117,6 +119,8 @@ class HourlyElectricityPriceForecast:
 
         return np.array(date_prices) / (1000.0 * 1000.0) + self.charges
 
+        return np.array(date_prices) / (1000.0 * 1000.0) + self.charges
+
     def get_average_price_last_7_days(self, end_date_str: Optional[str] = None) -> np.ndarray:
         """Calculate the hourly average electricity price for the last 7 days.
 
@@ -164,6 +168,12 @@ class HourlyElectricityPriceForecast:
             axis=0,
             weights=np.array([1, 2, 4, 8, 16, 32, 64]) / np.sum(np.array([1, 2, 4, 8, 16, 32, 64])),
         )
+        return average_prices
+        average_prices = np.average(
+            price_matrix,
+            axis=0,
+            weights=np.array([1, 2, 4, 8, 16, 32, 64]) / np.sum(np.array([1, 2, 4, 8, 16, 32, 64])),
+        )
         final_weights = np.linspace(1, 0, price_matrix.shape[1])
 
         # Weight last known price linear falling