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. 

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. doi:10.23743/acs-2017-03

Tryus, Yuriy, Nataliya Antipova, Kateryna Zhuravel, and Grygoriy Zaspa. "Information Technology of Stock Indexes Forecasting on the Base of Fuzzy Neural Networks." Applied Computer Science 13, no. 1 (2017): 29-40.

Y. Tryus, N. Antipova, K. Zhuravel, and G. Zaspa, "Information technology of stock indexes forecasting on the base of fuzzy neural networks," Applied Computer Science, vol. 13, no. 1, pp. 29-40, 2017.

Tryus Y, Antipova N, Zhuravel K, Zaspa G. Information technology of stock indexes forecasting on the base of fuzzy neural networks. Applied Computer Science. 2017;13(1):29-40.