Financial Data Resampling for Machine Learning Based Trading

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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 time sampled data commonly used in financial market trading. The new resampling method uses a closin...

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E-book
epub
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54.99 £

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 time sampled data commonly used in financial market trading. The new resampling method uses a closin...

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  • Formats: epub
  • ISBN: 9783030683795
  • Publication Date: 22 Feb 2021
  • Publisher: Springer International Publishing
  • Product language: English
  • Drm Setting: DRM