Concept of two-level cellular automaton predictive model

The article deals with the relevance of the research topic, which is included in the fundamental problems of the development of economic-mathematical modeling methods for time series, which also have fractal properties. Two-level approach to the prediction of fractal time series based on cellular automata is proposed. In the first part of the article a realization of algorithms which implement pre-forecasting analysis based on two instruments: a classical statistical analysis from the linear paradigm and fractal analysis relating to nonlinear dynamics methods is presented.