The system combines time series and text data from financial news, making it particularly useful for analyzing current events. According to Dmitry Golembiovsky, professor at the Department of Operations Research at the Faculty of Computational Mathematics and Cybernetics at Moscow State University, this method allows taking into account the influence of external factors on the stock market, which increases the accuracy of forecasts and reduces risks for traders.
Golembiovsky noted that the use of AI makes trading more predictable and efficient, allowing investors to make decisions based on analysis of real-time news events.
Source: Ferra
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