The article describes the solution to the problem of teaching programming skills using modern techniques and additional software. It is proposed to use simulation modeling of interaction developed by users as part of the training of intellectual agents in a competitive form that implement various algorithms as the main approach to the solution. Intellectual agents are presented in the form of artificial intelligence developed by platform users, which interacts with other intellectual agents following the rules of the developed scenario for the competition. Scenarios provide a set of capabilities for intelligent agents, an interaction environment, and a set of constraints that participants follow. To support this simulation, it is proposed to use a specialized software platform. The platform allows organizers to develop scenarios with a unique set of rules, and additional platform tools speed up development and allow organizers to implement visual display to users that can be used to show competitive process. A set of built-in platform tools allows organizers to focus directly on the rules of the competition, since the platform provides communication with participants and additional tools for calculating the results of the competition. In additional there is a set of basic competition systems on the platform. However, if necessary, the organizers can present their own competition format and implement it separately. The article describes the developed platform for teaching and holding competitions in artificial intelligence. The article also examines a number of scenarios and intelligent agents. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)

The year 2019 was one of the luckiest periods in the history of Russia’s stock market. On a 10-year time horizon (2010–2019), the geometric mean return on investment in Russian ruble-denominated stocks amounted to 8.3% per annum, which was below the corresponding indices of only a few markets like the USA, the Scandinavian economies, Japan, India, the Philippines, and Argentina. The average annual return on investment in Russian stocks denominated in US dollars stood at 0.7%, which was significantly below the ruble-denominated return on investment in those same stocks due to the ruble weakening in the post-crisis period

Fears mount on the global market regarding a “bubble” on the stock market transition of major institutional investors to riskier assets, growth in issuers credit risks. The domestic market demonstrates stock market stagnation against the background of ruble’s depreciation

The changes observed in the stock markets towards the end of 2020 point to the evolvement of expectations for growth in the share market, based on the scenario of a relatively rapid recovery of the world’s leading economies. In the context of soft monetary policies pursued by central banks, this is fraught with the risks of the formation of certain financial asset bubbles. Considering that in many countries during the pandemic, Russia including, the market has been entered by millions of new unsophisticated investors, these developments call for an increased responsibility of regulators in maintaining stability in the financial markets and protecting the interests of private investors