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Predicting RTS Index Futures Using Machine Learning

Authors :
Igor V. Zajtsev
Sergey A. Molodyakov
Maksim K. Voroshilov
Oleg V. Prokofiev
Nikita Voinov
Pavel Drobintsev
Source :
2021 XXIV International Conference on Soft Computing and Measurements (SCM).
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

The results of the approach to predicting RTS index futures based on linear and polynomial regression are presented. Two modifications of the proposed algorithm are described. Based on the analysis of the obtained results some recommendations and conclusions are made on using of the developed approach. Also presented in the paper is an overview of the most popular stock market prediction methods based on machine learning as well as the results of their usage.

Details

Database :
OpenAIRE
Journal :
2021 XXIV International Conference on Soft Computing and Measurements (SCM)
Accession number :
edsair.doi...........a1a6c99745a27e5de74bd4a9782bb9a1
Full Text :
https://doi.org/10.1109/scm52931.2021.9507184