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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...
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| 出版年: | Financ Innov |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer Berlin Heidelberg
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7785332/ https://ncbi.nlm.nih.gov/pubmed/35024269 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40854-020-00217-x |
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