Combining market-guided patterns and mamba for stock price prediction
Stock prices prediction is a highly challenging task over many years, owing to the market’s high volatility. With the development of deep learning, various studies has focused on modeling temporal patterns for stock price prediction. Most existing approaches rely on a shared neural architecture that...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2025-02-01
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| Serie: | Alexandria Engineering Journal |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S1110016824012821 |
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