| Annotation: | Methods. During the research, the following methods were used: general and specific – when distinguishing the specifics of stock market activity in the conditions of the spread of artificial intelligence; comparison – to study distinctive features in the activity of Ukrainian stock exchanges; analysis and synthesis – while identifying the existing approaches in economic science to defining the essence of the concept of «technical analysis»; grouping – when classifying technical analysis methods used in stock market activity. Results. The article examines stock market activity in the context of digitalization of the economy and, in particular, the spread of artificial intelligence. The directions of the influence of the latter on the mechanism of stock exchange transactions are demonstrated, and the main features of stock exchanges under the new realities are defined. The directions of activity of Ukrainian exchanges are analyzed and its specific features are determined in comparison with the work of similar structures in countries with a developed market. Specifics of carrying out technical analysis of exchange goods are considered. The theoretical approaches available in economic science to define the essence of the concept of «technical analysis» are singled out. The component systems of technical analysis methods are outlined and their classification is carried out. The potential capabilities of artificial intelligence in forecasting the price dynamics of stock exchange assets have been identified. Novelty. The specifics of stock market activity in the conditions of the spread of artificial intelligence are highlighted, its capabilities in forecasting price changes are demonstrated. Practical value. The results of the research can be useful both to scientists studying the problems of the functioning of the stock market, as well as to business analysts of stock market activity. |
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