摘要
为了规避外汇交易风险,方便持有外汇的居民投资理财,设计开发了一个智能外汇自动交易系统。该系统以Meta-Trader 4为开发平台,MetaQuotes Language 4为开发语言,利用赌博算法和RBF网络算法思想,设计了系统的框架和运行流程,并对各模块进行了详细实现。测试结果表明,结合赌博算法和RBF网络算法的自动交易系统,在复杂的非线性外汇行情中有良好的智能调节和自我学习的能力,能有效规避外汇风险,提高投资理财的成功率。
In order to avoid the risks and enhance the profits in forex investment, an auto-trading system is presented. The system is based on MetaTrader 4, developed with the language of MetaQuotes language 4, embedded with gamble algorithms and RBF network algorithms. The framework and process is designed and each module is implemented. The test results show that the auto-trading system with gamble algorithms and RBF network algorithms has excellent ability of auto-adjusting and auto-learning in the complex and non-linear forex market, can avoid risks effectively and enhance the success in investment.
出处
《计算机工程与设计》
CSCD
北大核心
2010年第19期4324-4328,共5页
Computer Engineering and Design
关键词
神经网络
交易系统
外汇预测
决策支持系统
非线性系统
neural nelwork
transaction system
forex forecasting
decision support system
nonlinear system
