ANALYSIS OF STOCK MARKET DYNAMICS

The article analyzes the application of information technologies to analysis stock market, namely study dynamics Ukrainian currency exchange rate, which will allow us draw a conclusion about market as whole. Exploratory data was used review and analyze financial data. It is an approach summarizing, visualizing, gaining insight into important characteristics set. When analyzing predicting complex systems, one cannot do without such powerful tool Python programming language neural network technologies. Neural networks find new successful applications in practice management decision-making, including trade spheres, i.e. wherever it necessary certain hidden regularity make forecast tools aimed at achieving macroeconomic stabilization dynamic development market. Forecasting instruments carried out, allows for precautionary conclusions proposals minimize risks related pricing derivatives that arise on are forecasting speculative changes pricing, progress processes take specific steps improve situation regarding optimization strategies. As result analysis, can be noted widely sphere activity. effectiveness use ability most sought-after tasks activity – future value various have been proven. argued best given by combination with expert calculate prices great accuracy monitor speed flows. technique increase informed strategic decisions participants