Update README.md

README.md

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 This application uses three different models (ARIMA, Prophet, and LSTM) to forecast stock prices.
 
+## ================================================================================
+##  FINAL RECOMMENDATIONS
+## ================================================================================
+
+Based on the comprehensive evaluation:
+
+1. BEST PERFORMING MODEL: LSTM
+   - Lowest RMSE: $5.39
+
+2. KEY FINDINGS:
+   - ARIMA Model:
+     * Simpler and faster to train
+     * Better for short-term forecasts
+     * Assumes linear relationships
+     * RMSE: $28.98
+     * MAPE: 11.57%
+
+   - Prophet Model:
+     * Excellent at capturing seasonality and trends
+     * Handles missing data and outliers well
+     * Provides uncertainty intervals
+     * RMSE: $16.29
+     * MAPE: 6.97%
+
+   - LSTM Model:
+     * Captures non-linear patterns
+     * Better for complex time series
+     * Requires more data and computation
+     * RMSE: $5.39
+     * MAPE: 2.06%
+
+3. RECOMMENDATIONS:
+   - For production deployment, consider ensemble methods combining all three models
+   - Prophet is excellent for interpretability and trend analysis
+   - LSTM performs well when sufficient training data is available
+   - ARIMA provides quick baseline forecasts
+   - Regularly retrain models with new data
+   - Monitor prediction intervals and confidence bounds
+   - Consider external factors (news, market sentiment) for better predictions
+
+4. MODEL SELECTION GUIDE:
+   - Use ARIMA for: Quick forecasts, baseline comparisons, stationary data
+   - Use Prophet for: Seasonal patterns, interpretable results, business forecasts
+   - Use LSTM for: Complex patterns, non-linear relationships, large datasets
+
+5. LIMITATIONS:
+   - Stock prices are inherently unpredictable
+   - Past performance doesn't guarantee future results
+   - Models should be used as decision support tools, not sole decision makers
+   - Consider risk management and diversification strategies
+   - All models assume patterns will continue into the future
+
 ## Features
 - Real-time stock data fetching from Yahoo Finance
 - Multiple forecasting models