Development of Intelligent Market Forecasting System for Personalized Financial Investments

The aim of this research paper is to design and develop a web application for personalized financial investment, which will lead to risk reduction in the decision-making of the trader. The methods and strategies of trader's behavior on the market, types of markets were considered. The system was designed using UML diagrams. HTML and CSS were the basis of the frontend, the backend was written in python. Both econometric and software tools for market analysis were studied. Multiple linear regression formed the basis of the forecasting system based on the parameters obtained during technical analysis. The research and development process resulted in recommendations and forecasts for 9 months, 1 and 4 years, a profit and call-put options calculator, displaying the forecast both in charts and as Yahoo finance type recommendations. The system was tested and debugged, and the reliability of the predicted data was over 60%.