Create gc

gc

@@ -0,0 +1,16 @@
+import matplotlib.pyplot as plt
+
+def plot_stock_data(data, model):
+    plt.figure(figsize=(12, 6))
+    plt.plot(data['Close'], label='Historical Close Price')
+    
+    # Add future predictions (for simplicity, assuming a constant rate)
+    future_dates = pd.date_range(start=data.index[-1] + pd.Timedelta(days=1), periods=90)
+    future_prices = model.predict(data[['SMA_5', 'SMA_10']].tail(1).values).repeat(90)  # simplistic approach
+    plt.plot(future_dates, future_prices, label='Predicted Future Price', color='orange')
+    
+    plt.title('Stock Price Prediction')
+    plt.xlabel('Date')
+    plt.ylabel('Price')
+    plt.legend()
+    plt.show()