The Moscow Exchange is implementing AI tools to detect operations with signs of market manipulation and insider trading. The algorithms will be integrated into compliance operations – from initial signal processing to preparing materials for investigations.
The system will analyze hundreds of thousands of transactions and related metrics: who traded with whom, how orders moved, and whether participants' actions resemble a coordinated scheme. AI should filter out noise and more quickly highlight cases that require specialists' attention.
There are no plans to fully entrust investigations to the machine. Algorithms will collect behavioral indicators and analytical conclusions, while the final assessment will be left to the exchange's experts.
AI allows for faster processing of large datasets. According to preliminary estimates, the use of AI assistants and deep process automation within one to two years will free up existing experts' resources and direct them towards in-depth analysis of complex cases.
The Moscow Exchange expects the new system to help conduct more investigations and respond faster to known schemes of unfair behavior. For market participants, this should provide an additional level of control over market transparency.
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