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Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions
- Publication Year :
- 2023
-
Abstract
- This paper is a work in progress. We are looking for collaborators to provide us financial datasets in Equity/Futures market to conduct more bench-marking studies. The authors have papers employing similar methods applied on the Numerai dataset, which is freely available but obfuscated. We apply different feature engineering methods for time-series to US market price data. The predictive power of models are tested against Numerai-Signals targets.<br />Comment: arXiv admin note: substantial text overlap with arXiv:2303.07925
- Subjects :
- Quantitative Finance - Statistical Finance
Computer Science - Machine Learning
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2303.16117
- Document Type :
- Working Paper