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Novel modelling strategies for high-frequency stock trading data

Full electronic automation in stock exchanges has recently become popular, generating high-frequency intraday data and motivating the development of near real-time price forecasting methods. Machine learning algorithms are widely applied to mid-price stock predictions. Processing raw data as inputs...

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Detalles Bibliográficos
Autores principales: Zhang, Xuekui, Huang, Yuying, Xu, Ke, Xing, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842577/
https://www.ncbi.nlm.nih.gov/pubmed/36687790
http://dx.doi.org/10.1186/s40854-022-00431-9