Providing diagnostics of stock market patterns by artificial intelligence tools

Authors

I. V. Kolos
Donetsk National University of Economics and Trade named after Mikhail Tugan-Baranovsky, Russian Federation
G. G. Skibenko
Donetsk National University of Economics and Trade named after Mikhail Tugan-Baranovsky, Russian Federation
E. Y. Tomashevskaya
Donetsk National University of Economics and Trade named after Mikhail Tugan-Baranovsky, Russian Federation
D. V. Shchetinina
Donetsk National University of Economics and Trade named after Mikhail Tugan-Baranovsky, Russian Federation

DOI

https://doi.org/10.31429/2224042X_2024_74_37

Abstract

The work focuses on the analysis of instruments and mechanisms of stock market regulation on the basis of the use of artificial intelligence for forecasting and making investment decisions. The article also studies various patterns of technical analysis and their impact on the process of forecasting trends in stock markets. It provides an overview of effective artificial intelligence tools used in financial markets, as well as examples of successful artificial intelligence applications in the financial industry.

Keywords

stock market, artificial intelligence, forecasting, patterns, investment, machine learning

Authors Info

I. V. Kolos

Senior lecturer of the Department of International Economy at Donetsk National University of Economics and Trade named after Mikhail Tugan-Baranovsky

Email: d19880921@yandex.ru

G. G. Skibenko

Senior lecturer of the Department of Digital Analysis and Control at Donetsk National University of Economics and Trade named after Mikhail Tugan-Baranovsky

Email: galina_skibenko@mail.ru

E. Y. Tomashevskaya

Candidate of Economic Sciences, Associate Professor, Associate Professor of the Department of Digital Analysis and Control at Donetsk National University of Economics and Trade named after Mikhail Tugan-Baranovsky

Email: tomeyu@mail.ru

D. V. Shchetinina

Student of the Department of International Economy at Donetsk National University of Economics and Trade named after Mikhail Tugan-Baranovsky

Email: shchetininadasha@mail.ru

References

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Article Details

Issue

2024 · No. 2 (74)

Section

Investments

Publication History

Published 2024-06-18

How to Cite

[1]
Kolos I.V., Skibenko G.G., Tomashevskaya E.Y., Shchetinina D.V. Providing diagnostics of stock market patterns by artificial intelligence tools // Economics: Theory and Practice. 2024. No 2 (74). С. 37–43. DOI: 10.31429/2224042X_2024_74_37

License

Copyright (c) 2024 I. V. Kolos, G. G. Skibenko, E. Y. Tomashevskaya, D. V. Shchetinina

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.