Lei Yang

Machine learning-driven financial time series forecasting: application of a feature engineering-enhanced RF model in A-share energy stocks

Amid the accelerating integration of AI and energy finance, existing random forest (RF) based stock forecasting studies often neglect the dual impact of redundant feature interference and ensemble redundancy on prediction stability. This study proposes a dual-path optimized RF framework for closing price forecasting of...