Improving stock trading decisions based on pattern recognition using machine learning technology

PRML, a novel candlestick pattern recognition model using machine learning methods, is proposed to improve stock trading decisions. Four popular machine learning methods and 11 different features types are applied to all possible combinations of daily patterns to start the pattern recognition schedu...

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Detalles Bibliográficos
Autores principales: Lin, Yaohu, Liu, Shancun, Yang, Haijun, Wu, Harris, Jiang, Bingbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345893/
https://www.ncbi.nlm.nih.gov/pubmed/34358269
http://dx.doi.org/10.1371/journal.pone.0255558

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345893/
https://www.ncbi.nlm.nih.gov/pubmed/34358269
http://dx.doi.org/10.1371/journal.pone.0255558

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