Possibilities of preventing manipulative transactions on the stock market in the conditions of new industrialization

Abstract

The term “manipulative trade” does not reflect current challenges and requires constant adaptation. The article proposes to focus on detailing and suppressing a certain list of manipulative practices, based on the damage they cause. The object of the research is the manipulative transactions in the stock market, and the subject of the research is the methods of identifying manipulative transactions in the Russian stock market. The purpose of this study is the development of specific proposals and the selection of statistical methods relevant for the Russian stock market in the conditions of new industrialization to improve the current system of state control aimed at identifying various types and methods of manipulative trading in the stock market. The practical relevance of the study consists in the creation and testing in real conditions of the Russian stock market of a statistical machine algorithm based on the k-nearest neighbor algorithm, which can identify non-standard trading operations. The article presents statistical information reflecting the dynamics of the individual properties of the Russian stock