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Impact of chart image characteristics on stock price prediction with a convolutional neural network

Stock price prediction has long been the subject of research because of the importance of accuracy of prediction and the difficulty in forecasting. Traditionally, forecasting has involved linear models such as AR and MR or nonlinear models such as ANNs using standardized numerical data such as corpo...

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Detalles Bibliográficos
Autores principales: Jin, Guangxun, Kwon, Ohbyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221485/
https://www.ncbi.nlm.nih.gov/pubmed/34161352
http://dx.doi.org/10.1371/journal.pone.0253121