Artificial intelligence in the stock market: current trends and development prospects

The article examines the current trends in the development of the stock market in the context of the active introduction of artificial intelligence technologies. The relevance of the research is due to the rapid development of digital financial technologies and the growing volume of financial data, which requires the use of new methods for analysing and forecasting the dynamics of financial markets. The purpose of the study is to analyse the main areas of application of artificial intelligence in the stock market and assess its impact on the transformation of investment processes and the functioning of financial markets. The methodological basis of the research consists of methods of analysis and synthesis of scientific literature, statistical analysis, comparative analysis and the method of scientific generalization. The paper uses statistical data from international financial organizations that characterize the structure and dynamics of the global stock market. The results of the study show that artificial intelligence is becoming an important factor in the transformation of the stock market. The most significant areas of its application are related to the development of algorithmic trading, the use of machine learning methods to predict the dynamics of financial assets, the analysis of investor market sentiment, the improvement of financial risk management mechanisms and support for investment decision-making. The introduction of intelligent technologies contributes to improving the efficiency of financial information processing, improving the quality of investment analysis, and developing new models of financial market functioning. At the same time, the widespread use of artificial intelligence in the stock market is accompanied by a number of new challenges related to the growth of algorithmic trading, the increasing technological dependence of financial institutions and the need to improve the mechanisms of regulation of financial markets. The given results can be used for further research in the field of financial technologies and the development of modern stock market analysis tools.

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