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Forecasting and trading cryptocurrencies with machine learning under changing market conditions
This study examines the predictability of three major cryptocurrencies—bitcoin, ethereum, and litecoin—and the profitability of trading strategies devised upon machine learning techniques (e.g., linear models, random forests, and support vector machines). The models are validated in a period charact...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785332/ https://www.ncbi.nlm.nih.gov/pubmed/35024269 http://dx.doi.org/10.1186/s40854-020-00217-x |