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(Ebook) Financial Data Resampling for Machine Learning Based Trading: Application to Cryptocurrency Markets by Tomé Almeida Borges, Rui Neves ISBN 9783030683795, 9783030683788, 3030683796, 3030683788

  • SKU: EBN-43063988
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4.4

33 reviews
Instant download (eBook) Financial Data Resampling for Machine Learning Based Trading: Application to Cryptocurrency Markets after payment.
Authors:Tomé Almeida Borges, Rui Neves
Pages:93 pages.
Year:2021
Editon:1
Publisher:Springer Nature
Language:english
File Size:3.59 MB
Format:pdf
ISBNS:9783030683795, 9783030683788, 3030683796, 3030683788
Categories: Ebooks

Product desciption

(Ebook) Financial Data Resampling for Machine Learning Based Trading: Application to Cryptocurrency Markets by Tomé Almeida Borges, Rui Neves ISBN 9783030683795, 9783030683788, 3030683796, 3030683788

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 closing value threshold to resample the data creating a signal better suited for financial trading, thus achieving higher returns without increased risk. The performance of the algorithm with the new resampling method and the classical time sampled data are compared and the advantages of using the system developed in this work are highlighted.
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