Abstract:

The paper discusses the design of a neuro-fuzzy model for decision-making support in free money investment in investment instruments listed on the stock exchange in the Czech Republic. Basic financial indicators, such as return, risk, P/E ratio and EPS have been used for this purpose. Based on the obtained results, it can be stated that the proposed ANFIS model is a suitable tool, in particular for modelling complex and non-linear problems. A neuro-fuzzy model behaves more naturally than other statistical tools, which simulates the decision-making process in stock trading, without increasing the risk in the form of investor's subjective judgment.