INFORMATION TECHNOLOGY OF STOCK INDEXES FORECASTING ON THE BASE OF FUZZY NEURAL NETWORKS

Yuriy TRYUS; Nataliya  ANTIPOVA; Kateryna ZHURAVEL; Grygoriy ZASPA

doi:10.23743/acs-2017-03

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Published: Mar 30, 2017

DOI: https://doi.org/10.23743/acs-2017-03

DOI

https://doi.org/10.23743/acs-2017-03

Authors

Yuriy TRYUS

tryusyv@gmail.com

Computer Science and Information Technology Department, Cherkasy State Technological University,460 Shevchenko Blvd, 18006, Cherkasy

Nataliya ANTIPOVA

LesleyRoot1726@gmail.com

Computer Science and Information Technology Department, Cherkasy State Technological University,460 Shevchenko Blvd, 18006, Cherkasy,

Kateryna ZHURAVEL

k_galasun@mail.ru

Computer Science and Information Technology Department, Cherkasy State Technological University,460 Shevchenko Blvd, 18006, Cherkasy,

Grygoriy ZASPA

gzaspa@ukr.net

Software Department, Cherkasy State Technological University, 460 Shevchenko Blvd, 18006, Cherkasy

Abstract

In this research the information technology for stock indexes forecast on the base of fuzzy neural networks was created. Thepossibility of its use for multi-parameter short-time stock indexes forecasts, in particular S&P500, DJ, NASDAC was checked. Thecreated information technology is used making several consequential steps. The stock indexes forecast numeral experiment based on real data for period of several years with use of the technology offered was made.

Keywords:

neural networks, fuzzy neural networks, forecasting, stock indexes

References

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TRYUS, Y., ANTIPOVA, N. ., ZHURAVEL, K., & ZASPA, G. (2017). INFORMATION TECHNOLOGY OF STOCK INDEXES FORECASTING ON THE BASE OF FUZZY NEURAL NETWORKS. Applied Computer Science, 13(1), 29–40. https://doi.org/10.23743/acs-2017-03

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