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Recently, an interesting situation has been taking place in the stock markets related to the development and implementation of artificial intelligence in the trading process. Companies have started using various algorithms and machine learning models to predict market fluctuations and make decisions about buying and selling stocks.

However, even the most advanced algorithms can sometimes behave unexpectedly. For example, there was an emergency last September when one of the funds that used an artificial intelligence system for asset management caused a market downturn due to unpredictable actions of the algorithms.

After analysis, it was found that the algorithm was misinterpreting certain financial indicators, which led to the automatic selling of a large number of shares. This led to a sharp drop in prices that infected other market participants and resulted in significant losses for investors.

This situation highlights the importance of careful monitoring and testing of artificial intelligence algorithms used in financial markets.