A Robust Machine Learning Framework for Stock Price Forecasting Using Feature Optimization and Neural Networks
Predicting stock market trends is inherently challenging due to the volatile and nonlinear nature of financial data. To address these complexities, optimization-driven machine learning approaches have gained increasing attention. This study presents a comparative evaluation of machine learning models for predicting the...