MODELING FORECAST CRYPTOCURRENCY PRICE QUOTES USING NEURAL NETWORKS

Abstract

In the current conditions of the formation of the cryptocurrency market, studies on modeling forecasts of price quotations are of particular importance. In advanced developed countries, fluctuations in this market are less and less dependent on political influence and the influence of other non-market factors, which confirms the need for objective research in this area. Scientific and methodological developments on this topic can be useful for both legal entities and individuals.

As a result, the introduction of predictive modeling of cryptocurrency quotes can give a certain economic effect, a specific financial benefit to individuals and legal entities and deserves further study on a more extensive data set.