Published on: 2026-07-08
Source: Moscow Exchange –
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The Moscow Exchange is implementing AI-based tools to identify operations that exhibit signs of market manipulation and insider trading. It is expected that the AI tools will be deeply integrated into compliance workflows at all stages of conducting investigations.
New approaches will allow for the efficient AI preprocessing of the received signals from automated analysis of hundreds of thousands of transactions and related trade metrics, combining the obtained results of coordinated action feature analysis of market agents and forming a database of analytical conclusions (behavioral metrics) for subsequent review by compliance specialists.
The solution being created is part of the Moscow Exchange’s systematic efforts to apply modern technologies in order to develop a reliable market infrastructure, improve the quality of internal control, and ensure participants’ trust in organized trading.
Irina Grekova, Senior Managing Director for Compliance and Business Ethics:
“For the Moscow Exchange, the development of technological tools for control is one of the key areas for increasing market resilience and transparency. AI allows faster processing of large volumes of data. According to preliminary estimates, the use of AI assistants and deep process automation within a horizon of one to two years will free up resources of existing experts and direct them towards in-depth analysis of complex cases and the results of analyzing known schemes of unfair behavior, which will significantly increase both the number of investigations and shorten the implementation times of measures.”
Moscow Exchange is the largest Russian exchange, the only multifunctional platform in Russia for trading stocks, bonds, derivatives, currency, money market instruments, and commodities. On the Moscow Exchange’s stock market, investment funds from over 40 management companies are available. The funds’ underlying assets include indices, stocks, bonds, gold, money market instruments, and commodity assets.
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