Rui Neves: Financial Data Resampling for Machine Learning Based Trading, Kartoniert / Broschiert
Financial Data Resampling for Machine Learning Based Trading
- Application to Cryptocurrency Markets
- Publisher:
- Springer International Publishing, 02/2021
- Binding:
- Kartoniert / Broschiert, Paperback
- Language:
- Englisch
- ISBN-13:
- 9783030683788
- Item number:
- 10440469
- Volume:
- 112 Pages
- Edition number:
- 21001
- Ausgabe:
- 1st edition 2021
- Weight:
- 184 g
- Format:
- 235 x 155 mm
- Thickness:
- 6 mm
- Release date:
- 23.2.2021
- Note
-
Caution: Product is not in German language
Blurb
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.
