Utilizing a neural logic expert system in currency option trading

Abstract

International currency market weathers all forms of worldwide current affairs and governmental economics statistics releases. Such news causes fluctuations in demands and supplies for major currencies. In order to gain from currency tradings, a trader has to gauge, sometimes guess using gut feelings, the likely market movement, and act accordingly. In this paper, a neural network-based expert decision support system for assisting users in making currency option trading decisions is presented. By utilizing neural network technology in its inference engine, the system is able to learn new knowledge and refine its inference strategy through usage. Furthermore, it can change its reasoning strategies according to different users, thus realizing the idea of personalized logic system. © 1995.