Research on Optimization Simulation System of Online Trading System Based on Information Processing

With the rapid development of Internet technology and the continuous growth of the e-commerce industry, online trading systems have become one of the important infrastructures of economic activities. However, in the face of the surge in transaction volume and the increasing diversification of user needs, traditional online trading systems face multiple challenges, including high concurrent processing, data security, system stability, response speed and optimization of user experience. To meet these challenges, this paper proposes an optimization simulation system for online trading systems based on information processing technology. The system integrates simulation modeling technology to simulate real transaction scenarios, analyze the information processing bottlenecks in the transaction process, and optimize the architecture, algorithm and security mechanism of the transaction system. This paper constructs a simulation system based on the Agent modeling method, proposes a concurrent processing optimization scheme based on an improved load balancing algorithm, and designs a multi-level security protection system to improve the security of the system. Through simulation experiments, the significant advantages of the algorithm in this paper in terms of processing speed, throughput, system stability and user experience are verified. The simulation results show that the optimization algorithm proposed in this paper improves the overall performance of the system by 18.5%, shortens the response time by 25%, and improves the security of the system by 15%.