A Robust Framework for Stock Price Prediction via BorutaSHAP-Based Feature Selection and Ensemble Deep Learning
Stock price prediction remains challenging due to market noise, non-stationarity, and complex temporal dependencies. This study proposes a robust hybrid framework to enhance predictive performance, stability, and interpretability in financial time series forecasting. The framework integrates BorutaSHAP-based feature se...