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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...

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Detalles Bibliográficos
Publicado en:PLoS One
Main Authors: Stoean, Catalin, Paja, Wiesław, Stoean, Ruxandra, Sandita, Adrian
Formato: Artigo
Idioma:Inglês
Publicado: Public Library of Science 2019
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6786832/
https://ncbi.nlm.nih.gov/pubmed/31600306
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0223593
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