StockNet: A Multivariate Deep Neural Architecture for stock prices prediction
Stock price forecasting is an inherently difficult problem. According to the efficient market hypothesis financial prices are unpredictable. However, a great number of machine learning methods have obtained consistent results on anticipating market movements. Most recent time-series prediction metho...
| Autor principal: | Nascimento, Janderson Borges do |
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| Outros Autores: | http://lattes.cnpq.br/5357554382847406 |
| Grau: | Dissertação |
| Idioma: | eng |
| Publicado em: |
Universidade Federal do Amazonas
2019
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| Assuntos: | |
| Acesso em linha: |
https://tede.ufam.edu.br/handle/tede/7409 |