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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | 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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