AN INTELLIGENT BUSINESS ADVISER SYSTEM FOR STOCK INVESTMENT

This paper presents an intelligent system to assist small investors to determine stock trend signals for investment in stock business. A pil ot system is built providing three main categories of technical analys is theories, namely momentum, moving average, and support/resistance l ine. It has extensive graphic interface design to facilitate the usage of the system. For novice investors, the system is associated with tu toring features and it supports analysis study of the rationale behind some system recommendations. Skillful investors carl explore the vari ous theories for the prediction by means of adjusting the weightings, combinations and even some independent variables allocated by the inte lligent system. General user can therefore formulate their investment strategies upon system recommendations under different investment crit eria accordingly.