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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Detalles Bibliográficos
Autores principales: Li, Yung-Chen, Huang, Hsiao-Yun, Yang, Nan-Ping, Kung, Yi-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528303/
https://www.ncbi.nlm.nih.gov/pubmed/37761625
http://dx.doi.org/10.3390/e25091326

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528303/
https://www.ncbi.nlm.nih.gov/pubmed/37761625
http://dx.doi.org/10.3390/e25091326

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