Abstract:

This paper deals with the design of a model creating algorithm to assist in trading on financial markets with the use of artificial neural networks. The research focuses on the design and optimization of artificial neural networks (in particular nonlinear autoregressive networks) and their subsequent usage in predictive application in stock market time series. The aim of this paper is to prove that a correctly constructed artificial neural network can be supportive in trading on financial markets by means of the ability to predict trends of stock prices.