Adaptive mixture of experts framework for multi horizon stock market forecasting using heterogeneous deep learning models
Accurate stock price forecasting remains a fundamental challenge in computational finance due to the inherent non stationarity, volatility clustering, and complex temporal dependencies characterizing financial time series. This paper presents an Adaptive Mixture of Experts (AMoE) framework that dynamically integrates f...