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@@ -45,6 +45,16 @@ The goal is to forecast future stock values and evaluate which approach generali
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  **Conclusion:** LSTM significantly outperforms ARIMA with lower RMSE and MAPE, showing its ability to capture nonlinear patterns in stock prices.
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  ---
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  ## ARIMA vs LSTM Forecasts
 
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  **Conclusion:** LSTM significantly outperforms ARIMA with lower RMSE and MAPE, showing its ability to capture nonlinear patterns in stock prices.
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+ ---
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+ ### Rolling Window Evaluation
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+ | Model | RMSE (avg) | MAPE (avg) |
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+ |-------|------------|------------|
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+ | ARIMA (Rolling Window) | 3.448 | 0.0304 |
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+ | LSTM (Rolling Window) | 23.282 | 0.1869 |
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+ Under rolling window evaluation, **ARIMA outperforms LSTM**, showing better stability and adaptability across multiple forecasting horizons.
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  ---
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  ## ARIMA vs LSTM Forecasts