Design And Implementation Of Forex Automated Trading System Based On Bp Neural Network

With the explosion of modern science and technology development, the economic integration had become a basic feature in the world of contemporary social. Governments, banks, or individuals had to face to the foreign exchange transactions. Any institution or individual, who concerned to the exchange rate, improved their own level of risk management, acquire foreign exchange hedge instruments, and strengthen its exchange rate to adapt to the new situation. In order to overcome the weaknesses of human nature, a lot of number of traders developed a variety of mechanical trading system, then expected to achieve certainty trading profit objective.So, this article was designed and implemented the "Forex Automated Trading System." Firstly, the paper studies and system-related technologies; Secondly, by analyzed the normal process of forex trading, it finished the requirements of performance and data, completed the system architecture; finally it researched the neural network. In order to avoid code complexity, this paper used three-tier system architecture that based on client/server; Divided the automated trading systems to improve the efficiency with data collection module, network training module and automated trading module; For the benefit of improving the safety, the paper designed some kernel codes for a higher safety.This thesis completed an automatic trading system with neural network. The system showed the convenience of AI, and brought the mechanical trade and foreign exchange technical analysis into a new level.Forex trading covers a wide range.This paper is only finished the automated trading system design and implementation with neural network. The robustness of the system will be the most important issues of the further research and development.