Financial Machine Learning: Using Machine Learning to Enhance the Performance of a Systematic Trading Strategy
| dc.contributor.author | Qian, Dr. Gang | |
| dc.date.accessioned | 2026-02-23T20:36:34Z | |
| dc.date.available | 2026-02-23T20:36:34Z | |
| dc.date.issued | 3/8/2019 | |
| dc.description.abstract | Machine learning in finance is a unique field. Special considerations need to be made when working with financial data. Samples are not independent or identically distributed. In this research, I show a mean reversion technical trading strategy can be enhanced with the proper use of machine learning, maintaining consistent profitability in harsh markets (Bitcoin). The machine learning enhancement results with a Sharpe ratio more than twice that of the original strategy. | |
| dc.description.department | University of Central Oklahoma | |
| dc.identifier.other | Mathematics and Science.Computer Science.04 | |
| dc.identifier.uri | https://shareok.org//handle/11244/342121 | |
| dc.relation.ispartofseries | Mathematics and Science | |
| dc.subject.keywords | Computer Science | |
| dc.title | Financial Machine Learning: Using Machine Learning to Enhance the Performance of a Systematic Trading Strategy | |
| dc.type | Abstract |
Files
Original bundle
1 - 1 of 1