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Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations
Stock price prediction is a popular yet challenging task and deep learning provides the means to conduct the mining for the different patterns that trigger its dynamic movement. In this paper, the task is to predict the close price for 25 companies enlisted at the Bucharest Stock Exchange, from a no...
Autores principales: | Stoean, Catalin, Paja, Wiesław, Stoean, Ruxandra, Sandita, Adrian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786832/ https://www.ncbi.nlm.nih.gov/pubmed/31600306 http://dx.doi.org/10.1371/journal.pone.0223593 |
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