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Recurrent convolutional neural kernel model for stock price movement prediction
Stock price movement prediction plays important roles in decision making for investors. It was usually regarded as a binary classification task. In this paper, a recurrent convolutional neural kernel (RCNK) model was proposed, which learned complementary features from different sources of data, name...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292408/ https://www.ncbi.nlm.nih.gov/pubmed/32530923 http://dx.doi.org/10.1371/journal.pone.0234206 |