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Financial Data Resampling for Machine Learning Based Trading

Name: Financial Data Resampling for Machine Learning Based Trading
Brand: Springer
SKU: 41011248
Price: 66.8 EUR
Availability: InStock
Author: Tome Almeida Borges
ISBN: 9783030683795

Application to Cryptocurrency Markets

Tome Almeida Borges

Rui Neves

Jezik

Angleščina

E-knjiga Adobe ePub DRM

Koda Libristo: 41011248

Založba Springer, februar 2021

This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boo... Celoten opis

Koda Libristo: 41011248

162 b

66.80 €

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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 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.