A model based LSTM and graph convolutional network for stock trend prediction
Stock market is a complex system characterized by collective activity, where interdependencies between stocks have a significant influence on stock price trends. It is widely believed that modeling these dependencies can improve the accuracy of stock trend prediction and enable investors to earn mor...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
PeerJ Inc.
2024-09-01
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| Col·lecció: | PeerJ Computer Science |
| Matèries: | |
| Accés en línia: | https://peerj.com/articles/cs-2326.pdf |
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