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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Autores principales: Guangxun Jin, Ohbyung Kwon
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/16261ef392e24660be94f1a554572d09
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