Stock Market Forecasting Based on Spatiotemporal Deep Learning
This study introduces the Spacetimeformer model, a novel approach for predicting stock prices, leveraging the Transformer architecture with a time–space mechanism to capture both spatial and temporal interactions among stocks. Traditional Long–Short Term Memory (LSTM) and recent Transformer models l...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2023-09-01
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| Col·lecció: | Entropy |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/1099-4300/25/9/1326 |
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