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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| 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 |