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Financial Data Resampling for Machine Learning Based Trading
- Application to Cryptocurrency Markets
Engelsk Paperback
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Financial Data Resampling for Machine Learning Based Trading
- Application to Cryptocurrency Markets
Engelsk Paperback

512 kr
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Om denne bog

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.

Product detaljer
Sprog:
Engelsk
Sider:
93
ISBN-13:
9783030683788
Indbinding:
Paperback
Udgave:
ISBN-10:
3030683788
Kategori:
Udg. Dato:
23 feb 2021
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
23 feb 2021
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