A Lightweight Multi-Perspective Fusion Framework for Stock Price Forecasting
Stock price prediction is a fundamental problem in the financial domain. Stock price datasets are prone to high noise, non-stationarity, and complex nonlinearity, creating considerable problems in terms of the robustness and generalization of prediction models. Although deep learning models like RNNs and Transformers h...