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.
Read more on the topic:
MIPT Taught Artificial Intelligence to Write Prescriptions and Sick Leave Certificates
The Ministry of Digital Affairs Launched Testing of Generative AI on "Gosuslugi"
Now on home
Герой России Гарнаев: никто из профессионалов о возобновлении производства на КАЗ всерьёз не говорит
Система отслеживает спутники на высотах до 50 000 км и ведёт за ними наблюдение
The armored vehicle is equipped with a KamAZ-740.35-400 diesel engine with a power of 400 hp.
Constant improvements in avionics, weapons and tactical capabilities will make the aircraft a flexible response to future challenges
The exterior of the KamAZ-54901 features fairings on the cab and chassis for fuel economy
Fighters are in demand both domestically and abroad
Tyazhpromexport and Venezuela Agree on Plant Revival
The company not only completed the state order, but also quickly mastered the production of AK-12K for special forces
Experts have developed a photogrammetric complex with a resolution of less than 1 cm
