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A prediction model of stock market trading actions using generative adversarial network and piecewise linear representation approaches
Supervised learning applied stock prediction tasks and obtained satisfactory performance. The trading strategies are very complex and diverse but supervised learning is only learned and fitted by gold standard trading strategies. Supervised learning approaches often have over-fitting problems. To le...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734618/ https://www.ncbi.nlm.nih.gov/pubmed/36531755 http://dx.doi.org/10.1007/s00500-022-07716-2 |