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Financial data resampling for machine learning based trading: application to cryptocurrency markets
This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boosting, Logistic Regression, Random Forest and Support Vector Classifier to trade with several cryptocurrencies. A new method for resampling financial data is presented as alternative to the classical...
| Autores principales: | , |
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| Lenguaje: | eng |
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Springer
2021
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-68379-5 http://cds.cern.ch/record/2758289 |