A system based on artificial intelligence (AI) has been created at Moscow State University named after M. V. Lomonosov (MSU). It predicts changes in the value of RTS (Russian Trading System) shares by analyzing economic news. This was reported by the university's press service.
Scientists have developed an innovative method for predicting the movement of RTS stock prices, using a combination of time series and text data from financial news. The new approach allows investors to better adapt to changes in the market.
The use of a neural network in the development allows you to compare data and take into account the impact of various events on the stock market.
According to Dmitry Golembiovsky, professor at the Department of Operations Research, Faculty of Computational Mathematics and Cybernetics, MSU, the new approach allows stock market analysts and investors to predict price changes, making trading successful and predictable.
Earlier www1.ru reported that artificial intelligence was trained to quickly read data from utility meters.
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