Forecast Accuracy Is Not Trading Profit: Evolving Small Recurrent Networks for Stock Return Prediction
cs.NE, cs.CE, cs.LG
Submitted: 2026-10-06
Updated: 2026-10-06
Terminology
Sources
- Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
- Capacity and Trainability in Recurrent Neural Networks
- Exploring the Synergy of Quantitative Factors and Newsflow Representations from Large Language Models for Stock Return Prediction
- A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
- Re(Visiting) Time Series Foundation Models in Finance
- DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
- DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
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