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Open access Sep 2026

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...

Yoojeong Song, W. Cho, S. Han et al. · 0 citations

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