Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
Fundamental and technical analysis are two main methods of forecasting in economics, securities analysis and investments. Fundamental analysis is based on the consideration of those factors, which influence economic process. Technical analysis is the method of economic analysis, which is based on the previous history of the process analysis and does not consider influencing economic factors. Technical and fundamental analysis approaches are so different, that TA and FA can be considered as relatively independent methods.
As study courses, technical and fundamental analysis are included in study programs of faculties of economics and business administration in many European and American universities. Usually such courses consist of theoretical lectures and practical exercises. Sufficient help for fundamental and technical analysis course realization can provide specialized information system. The creation of such system is complicated task, because there are specific requirements for information systems for study courses in fundamental and technical analysis support. Such information systems should be complete enough – it should contain all necessary procedures for information processing, which are sufficient for investment portfolio creation and investment decision making. Appropriate procedures include input data receiving, data pre-processing, stocks screening, optimal portfolio creation, portfolio testing and correcting. Information system should be simple enough and understandable for students of economics and business administration. Information system should be flexible and provide the possibility to change algorithms of data processing from simple to complicate. Information system should be extendable and ensure the possibility to use it for research work and practical investment activities. Information system should be based on appropriate IT platform and use appropriate programming language.
The paper is devoted to the description of information system created at the Ventspils University College during last 10 years to support the study course in stock market fundamental and technical analysis. Results received using this system for US stock market and possible practical applications are considered also.
