Specialists of Lomonosov Moscow State University have developed a system that allows predicting changes in stock prices by analyzing economic news using artificial intelligence technologies, TASS reports.

The use of neural networks allowed the authors to identify more complex relationships between different data and take into account the impact of external events on the stock market.

According to the university's press service, the new approach allows investors and stock market analysts to better adapt to market changes and accurately predict price movements. Thus, trading becomes more predictable and successful.

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