PRIMENA VEŠTAČKE INTELIGENCIJE I TEHNIČKE ANALIZE U FUNKCIJI PREDIKCIJE EKSTREMNIH TRŽIŠNIH KRIZA

Anđela Jaćimović

doi:10.24867/34GI19Jacimovic

Industrial Engineering and Management

Vol. 41 No. 03 (2026): Proceedings of the Faculty of Technical Sciences

APPLICATION OF ARTIFICIAL INTELLIGENCE AND TECHNICAL ANALYSIS IN PREDICTING EXTREME MARKET CRISES

Anđela Jaćimović

34GI19Jacimovic (Serbian)

DOI:: https://doi.org/10.24867/34GI19Jacimovic
Submitted: March 16, 2026
Published: 2026-03-16

Abstract

The analysis in this paper focuses on the application of artificial intelligence and technical analysis as supplements in the development of models for predicting extreme market crises.

References

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[2] K. He et. al, “Financial time series forecasting with the deep learning ensemble model”, Mathematics, Vol. 11, pp. 15-19, 2023.
[3] H.A. Salman, A. Kalakech, A. Steiti, “Random forest algorithm overview”, Babylonian Journal of Machine Learning, pp. 69-79, 2024.

[1] [1] S.K. Dhillon, M.D. Ganggayah, S. Sinnadurai, P. Lio, N.A. Taib, “Theory and practice of integrating machine learning and conventional statistics in medical data analysis”, Diagnostics, Vol. 12(10), pp. 25-26, 2023.

[2] [2] K. He et. al, “Financial time series forecasting with the deep learning ensemble model”, Mathematics, Vol. 11, pp. 15-19, 2023.

[3] [3] H.A. Salman, A. Kalakech, A. Steiti, “Random forest algorithm overview”, Babylonian Journal of Machine Learning, pp. 69-79, 2024.