Sync App files

app.py

@@ -153,6 +153,12 @@ class StockPredictor:
                 last_values["month"] = date.month
                 last_values["day"] = date.day
 
+                # Update the lag features
+                if len(last_5_close) >= 5:
+                    last_values["lag_5"] = last_5_close[-5]
+                if len(last_10_close) >= 10:
+                    last_values["lag_10"] = last_10_close[-10]
+
                 # Ensure input features are in the correct format
                 prediction_input = pd.DataFrame([last_values], columns=features)
                 prediction = model.predict(prediction_input)[0]