Introduction. Today there is a large number of cryptocurrencies in the world with their own unique characteristics. Traders and investors working in the cryptocurrency market use various software to analyze and forecast the exchange rate of cryptocurrencies. The ability to correctly and quickly make decisions using the results of cryptocurrency rate forecasting is currently defined as a key goal for traders, investors and analysts of this market. Purpose. In this article, the existing methods of analysis and forecasting of the exchange rate on cryptocurrency exchanges were considered, namely – fundamental and technical analysis, machine learning, news flow analysis, and a hybrid approach. During the study, it was demonstrated that different algorithms can have a high level of probability of predictions in a specific situation and with optimized parameters, but at the same time show much lower probability indicators with the slightest change in parameters or dynamics of the cryptocurrency exchange rate. Accordingly, a perfect method with universal parameters that will always consistently show high results in the probability of predictions does not exist. The implementation of a software automatic expert system for choosing algorithms in real-time will allow automatically choose the best algorithm for cryptocurrency forecasting based on the analysis of the effectiveness of algorithms over the last N iterations in the past. Methods. By the development of automatic expert system for choosing cryptocurrency forecasting algorithms in real-time. Results. The process of analyzing and forecasting the cryptocurrency exchange rates with an existing software expert system for choosing algorithms for cryptocurrency forecasting is considered, and the logic of the operation of such an expert system is presented. Also, ways to solve problems that may arise during the application of this system were identified and substantiated. Conclusion. The alternative approach to the analysis and forecasting of cryptocurrencies in real-time was implemented in the software expert system for choosing alghorithms, which allows stabilizing the high probability of the exchange rate forecasts on the cryptocurrency market in comparison with the use of only one method or the hybridization of several methods.
