本研究利用雲端運算的技術，發展大量使用者使用的策略交易的系統。為滿足大量使用者的運算需求，本系統包括幾項特性： 1. 採用服務導向架構以充分使用雲端運算的特性。 2. 建立非同步事件控制機制以提供服務間非同步運算能力。 3. 採用集中式資料結構，提出收縮式肋骨網絡(SRN)資料結構，減少運算需求。 4. 提供基因演算模擬環境，讓使用者可以發展符合個人投資偏好的投資策略。 / In this study, we designed a algorithmic trading system for large numbers of users on a cloud computing plateform. So the main features of the algorithmic trading system have been as follows. 1. The use of Service-Oriented architecture in order to fully use the characteristics of cloud computing. 2. The establishment of asynchronous event control mechanism to provide services to non-synchronous computing power. 3. A centralized data structure, proposed Systolic Ribs Network (SRN) data structure, reducing the computing needs. 4. To provide the genetic algorithm simulation environment that allows users to develop in line with the investment strategy personal investment preferences.