Attention Integration Strategies in MLP-Based Stock Movement Prediction: Effects on Performance, Stability, and Interpretability
Stock movement prediction remains challenging because financial data are non-stationary and noisy. While attention mechanisms are widely used to enhance neural networks, how different attention integration strategies affect performance and training stability has not been systematically examined. We present a multi-seed...