Sync App files

app.py

@@ -99,6 +99,9 @@ class StockPredictor:
         data["day"] = data["date"].dt.day
         data["ma_5"] = data["close"].rolling(window=5).mean()
         data["ma_10"] = data["close"].rolling(window=10).mean()
+        # Adding lag features
+        data["lag_5"] = data["close"].shift(5)
+        data["lag_10"] = data["close"].shift(10)
 
         # Drop rows with NaN values created by rolling window
         data.dropna(inplace=True)
@@ -128,7 +131,7 @@ class StockPredictor:
             data = self.load_stock_data(ticker)
 
             # Define features
-            features = ["year", "month", "day", "ma_5", "ma_10"]
+            features = ["year", "month", "day", "ma_5", "ma_10", "lag_5", "lag_10"]
 
             # Predict the actual values in the dataset
             X_actual = data[features]