The Recommendation Service for Stock Market Analyst based on Machine Learning

The stock market has a great impact on the country's economy, and people's interest in the stock market is growing every year. Unfortunately, even stock market analysts are mistaken in their forecasts. Existing services do not provide a wide range of opportunities for market analysis. The purpose of the work is to provide a tool for analyzing the stock market, which will reduce the risk of unsuccessful investment of funds. The task is to develop a reference service analyst of the stock market based on machine learning. The novelty of the work lies in the development of the functionality of the application, which allows to study the forecast of price changes and provides a recommendation to buy or sell an asset. In the course of the work, the subject area was studied. Models were trained on historical data. An asset trading strategy was developed and tested, and the client and server side of the application were developed. The developed application can be used by stock market analysts.