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Hybrid Temporal‑Relational Deep Learning for Enhanced Quantitative Investment

Experimental results demonstrate that the proposed framework outperforms baselines such as AutoRegressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), and Graph Convolutional Network (GCN) in terms of mean square error, direction accuracy, and Sharpe ratio.

Si-Wen Ni · 0 citations

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