With the recent advances in emerging technology, the study of intelligent agents has become one of the most important fields in understanding today's world. The voluminous information available in the financial market has given rise to the explorationof agent technology for analyzing data and making critical business decisions. This project investigates an intelligent multi-agent architecture in an electronic financial market. In contrast to most current research that has focused on the single-agent approaches, we investigate the potential of developing a collection of multiple intelligent agents and examine the learning and ecologically evolution behaviors. By creating an electronic financial market through the development and the analysis of coordination and interactions among multiple intelligent agents, we shall be able to better understand the process of knowledge discovery and data mining. In addition, the study of such virtual organization will bring up plenty of challenging research issues in electronic commerce