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Financial Data Resampling For Machine Learning Based Trading Application To Cryptocurrency Markets 1st Edition Tom Almeida Borges

  • SKU: BELL-43063988
Financial Data Resampling For Machine Learning Based Trading Application To Cryptocurrency Markets 1st Edition Tom Almeida Borges
$ 31.00 $ 45.00 (-31%)

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Financial Data Resampling For Machine Learning Based Trading Application To Cryptocurrency Markets 1st Edition Tom Almeida Borges instant download after payment.

Publisher: Springer Nature
File Extension: PDF
File size: 3.59 MB
Pages: 93
Author: Tomé Almeida Borges, Rui Neves
ISBN: 9783030683795, 9783030683788, 3030683796, 3030683788
Language: English
Year: 2021
Edition: 1

Product desciption

Financial Data Resampling For Machine Learning Based Trading Application To Cryptocurrency Markets 1st Edition Tom Almeida Borges by Tomé Almeida Borges, Rui Neves 9783030683795, 9783030683788, 3030683796, 3030683788 instant download after payment.

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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