Analysis and Modeling of Price Changes on the Exchange Market Based on Structural Market Data

The securities market, also known as the stock market, is a public trading platform for trading stocks of various companies. Forecasting in the stock market is an attempt to determine the future price of a company's stock. Successful price prediction can bring huge profits to the trader. One of the main hypotheses is the assumption that stock prices are formed based on all available information in the world about these companies. The desire to know the future picture of the stock market has given impetus to the development of several methodologies for predicting situations in the securities market. There are three main categories into which the existing methodologies used to predict the price of stocks are divided: fundamental analysis, technical analysis and technological methods. However, in their original video, they are very unprofitable in the modern world. This article proposes the use of neural networks in the process of modeling and analyzing prices in the stock market.