Moscow State University (MSU) has created a system based on artificial intelligence (AI). It forecasts 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 RTS stock price movements, using a combination of time series and text data from financial news. The new approach allows investors to better adapt to market changes.
The use of neural networks in development allows for comparing data and taking 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 has been trained to quickly read data from utility meters.
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