The mathematical model for artificial neural networks was proposed in the 50-60s of the twentieth century, but for a long time it did not find its practical application due to the fact that even the most basic neural networks required very powerful computer calculations and were for a long time unfeasible or unreasonably expensive for application. Given that over the years artificial intelligence has become even more popular and widely researched, today this science has many subsections and methods that continue to evolve and develop. For example, machine learning is a big subsection of the science of artificial intelligence, which involves the use of various data analysis algorithms, and can make conclusions, decisions or forecasts in the context of the tasks.
A wide range of fields where artificial intelligence is applied raises the issue of the possibility of using this technology for the analysis of exchange markets and the formation of trade strategies on its basis. The success of using AI for trading on stock exchanges is confirmed by various researches. A number of large hedge funds are actively using different instruments of artificial intelligence to make investment decisions. Profitability of investments of these funds in most cases exceeds the profitability of those investments that were made with using traditional analytical tools and technical indicators.