The Moscow Exchange is taking a decisive step in the fight for market integrity by implementing an artificial intelligence-based system to identify trades with signs of manipulation and insider trading. This is not just another update—it is a fundamental shift in the architecture of trading oversight.
How It Will Work
The new toolkit is deeply integrated into compliance processes at all stages of investigations. The system is capable of processing hundreds of thousands of trades and related metrics, identifying coordinated actions by market agents. The AI automatically analyzes signals, combines results, and forms a database of analytical conclusions with behavioral metrics. The ready-made findings are then submitted for review by compliance specialists, radically speeding up the entire process.
The developers emphasize that this is part of a systematic effort to implement modern technologies. The goal is to develop reliable market infrastructure, improve the quality of internal control, and strengthen participants' trust in organized trading.
What This Will Bring to the Market
The Senior Managing Director for Compliance and Business Ethics at the Moscow Exchange noted that the development of technological control tools has become one of the key areas for enhancing market resilience and transparency. According to her, AI accelerates the processing of large data sets.
According to the exchange's preliminary assessment, the use of AI assistants and deep automation of processes over the next one to two years will free up expert resources and redirect them toward in-depth analysis of complex cases and known schemes of unfair behavior. It is expected that this will increase the number of investigations and reduce the time required to implement measures.
Expert opinion: This is a landmark event. The transition from reactive to proactive oversight using AI is a logical step for any major financial center. If the system proves its effectiveness at the Moscow Exchange, we may see similar solutions on cryptocurrency platforms, where the problem of manipulation is even more acute. A market where every move is analyzed by an algorithm becomes much less attractive to dishonest players.