EN
The article presents theoretical basis and practical applications of selected quantity methods that can be used in modeling financial time series, where elements of Elliott theory and fractal geometry are included. The aim of this work is to present models to support the investor in decision making, which includes new market tendencies. The process of investing into financial markets is a dynamic process depending on frequent changes, that direction and impact is difficult to predict in the long periods of time. This work shows theoretical basis of used methods and results of carried out empirical analyses.