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...

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Bibliographic Details

Main Authors:	Borges, Tomé Almeida (Author), Neves, Rui (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	SpringerBriefs in Computational Intelligence,
Subjects:	Computer mathematics. Computational Mathematics and Numerical Analysis. Electronic books.
Online Access:	Connect to the full text of this electronic book