Update app.py

app.py

@@ -361,11 +361,12 @@ class StockPredictor:
 
 # Streamlit App
 st.set_page_config(layout="wide")
-st.title("Deep Learning-Based Asset Price Forecasts")
+st.title("Deep Learning Asset Price Forecasting")
 
 # Include a short description in the main body of the app
 st.markdown("""
-This tool forecasts future stock prices and cryptocurrency pairs using a deep neural network with a large number of proprietary historical external variables. The model provides both 68% and 95% confidence intervals to represent uncertainty.
+This tool forecasts future stock prices and cryptocurrency pairs using a deep neural network with a large number of proprietary historical external variables. 
+The model provides both 68% and 95% confidence intervals to represent uncertainty.
 """)
 
 with st.expander("Additional Trading Tools and Analysis", expanded=False):
@@ -434,8 +435,8 @@ if run_button:
     predictor.build_model()
     progress_bar.progress(50)
 
-    status_text.text("Training model...")
-    predictor.train_model(epochs=10, batch_size=64)
+    status_text.text("Training model...This will take a few minutes")
+    predictor.train_model(epochs=10, batch_size=32)
     progress_bar.progress(80)
 
     status_text.text("Making predictions...")
@@ -462,14 +463,28 @@ if run_button:
     bullish = final_predicted_price > last_actual_price
 
     st.write(f"### Final Predicted Price: ${final_predicted_price:.2f}")
+    
+    # Interpretation of results
+    ci_68_lower = future_predictions_df['CI_68_Lower'].iloc[-1]
+    ci_68_upper = future_predictions_df['CI_68_Upper'].iloc[-1]
+    ci_95_lower = future_predictions_df['CI_95_Lower'].iloc[-1]
+    ci_95_upper = future_predictions_df['CI_95_Upper'].iloc[-1]
+    mean_prediction = future_predictions_df['Predicted_Close'].mean()
+    
+    st.write(f"### Final Predicted Price: ${final_predicted_price:.2f}")
+    
     if bullish:
         st.success("The model predicts a **bullish** trend over the forecast horizon.")
     else:
         st.error("The model predicts a **bearish** trend over the forecast horizon.")
-
-    st.write("""
+    
+    st.write(f"""
     **Interpretation of Results:**
-    The plot above shows the actual stock prices, the predicted prices from the model, and the future forecasted prices with confidence intervals. The confidence intervals represent the uncertainty in the model's predictions. A bullish indicator suggests that the stock price is expected to rise, while a bearish indicator suggests a decline.
+    The model forecasts that the stock price is expected to be around **${final_predicted_price:.2f}** by the end of the forecast horizon. The 68% confidence interval suggests that the price is likely to fall between **${ci_68_lower:.2f}** and **${ci_68_upper:.2f}**, while the broader 95% confidence interval ranges from **${ci_95_lower:.2f}** to **${ci_95_upper:.2f}**.
+    
+    On average, the forecasted prices over the horizon have a mean value of **${mean_prediction:.2f}**. The predicted trend indicates a **{'bullish' if bullish else 'bearish'}** signal, suggesting the price is expected to **{'rise' if bullish else 'decline'}** compared to the last recorded price of **${last_actual_price:.2f}**.
+    
+    The confidence intervals represent the uncertainty in the model's predictions, with wider intervals indicating higher uncertainty. The shaded areas on the plot provide a visual representation of this uncertainty.
     """)