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Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions

Authors :
Wong, Thomas
Barahona, Mauricio
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

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2303.16117
Document Type :
Working Paper