Connectionist decision support system for international currency option trading

Everyday, the international currency market deals with all forms of worldwide current affairs and governmental economics statistics releases. In this paper, we present a neural-network based expert decision support system (EDSS) for assisting users in making currency option trading decisions. By utilizing neural network technology in its inference engine, the system is able to learn new knowledge through usage. In addition, the neural-network inference engine is able to perform fuzzy logic reasonings, and accept vague terms from the user inputs. Furthermore, it can change its reasoning strategy according to different users, thus realizing the idea of personalized logic system.