Nikitenko A. Knowledge Mining modeling for financial markets forecasting

The interaction between the elements and structure of the financial market is analyzes in this thesis work. The choice of fractal market forecasting tools as the basis for the construction of the forecasting models is substantiated. The approach to forecasting of financial markets based on the Knowledge Mining technology is shown. The model of financial performance forecasting based on Elliott wave principle is improved. The model of Knowledge Mining for financial markets forecasting that singles out Standard Trends from the time series is presented to improve performance in the market. The systems based on prediction models for the experimentation are software-implemented. The methods of investigation of fractal characteristics of financial time series are developed. Knowledge Mining systems implementation guidelines for financial markets forecasting are provided