Stock Market Forecasting Based on Spatiotemporal Deep Learning.

Li, Yung-Chen; Huang, Hsiao-Yun; Yang, Nan-Ping; Kung, Yi-Hung

Li, Yung-Chen; Huang, Hsiao-Yun; Yang, Nan-Ping; Kung, Yi-Hung.

Afiliación

Li YC; Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City 242062, Taiwan.
Huang HY; Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City 242062, Taiwan.
Yang NP; Department of Mathematics, Fu Jen Catholic University, New Taipei City 242062, Taiwan.
Kung YH; Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City 242062, Taiwan.

Entropy (Basel) ; 25(9)2023 Sep 12.

Article en En | MEDLINE | ID: mdl-37761625

Palabras clave

multi-steps forecasting; spacetimeformer model; spatiotemporal transformer; stock forecasting

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Entropy (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Taiwán

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