Update app.py

app.py

@@ -312,7 +312,7 @@ def plot_price_chart(ticker: str):
     
     predicted_price = last_known_price * (1 + predicted_return)
     
-    # Plot the data
+ # Plot the data
     plt.figure(figsize=(10, 5))
     plt.plot(historical_dates, historical_prices, label='Historical Prices', marker='o')
     plt.axvline(x=last_known_date, color='gray', linestyle='--', label='Last Known Date')
@@ -321,6 +321,17 @@ def plot_price_chart(ticker: str):
     # Adding gap for 21 trading days (assuming 5 trading days per week)
     gap_dates = pd.date_range(start=last_known_date, periods=22, freq='B')[-1]
     plt.axvline(x=gap_dates, color='blue', linestyle='--', label='21 Trading Days Gap')
+
+    # Annotations
+    plt.annotate(f'Last Known Price: {last_known_price:.2f}', 
+                 xy=(last_known_date, last_known_price), 
+                 xytext=(last_known_date, last_known_price * 1.05),
+                 arrowprops=dict(facecolor='black', arrowstyle='->'))
+    
+    plt.annotate(f'Predicted Price: {predicted_price:.2f}\nPredicted Return: {predicted_return:.2%}', 
+                 xy=(predicted_date, predicted_price), 
+                 xytext=(predicted_date, predicted_price * 1.05),
+                 arrowprops=dict(facecolor='red', arrowstyle='->'))
     
     plt.xlabel('Date')
     plt.ylabel('Price')