支持向量机在外汇预测中的应用

Thuy Ha Thi Thu, Vuong Dang Xuan
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引用次数: 16

摘要

在交易系统(如支持向量机)的监督机器学习支持下,可以预测货币汇率的趋势。不仅在学习中使用机器学习技术表示模型,支持向量机(SVM)模型也在实际外汇交易中实现。这可能有助于使用专家顾问(机器人)在外汇市场上自动做出买卖交易决策。实验结果表明,与未使用支持向量机的交易相比,使用支持向量机的交易具有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using support vector machine in FoRex predicting
The trend of currency rates can be predicted with supporting from supervised machine learning in the transaction systems such as support vector machine. Not only representing models in use of machine learning techniques in learning, the support vector machine (SVM) model also is implemented with actual FoRex transactions. This might help automatically to make the transaction decisions of Bid/Ask in Foreign Exchange Market by using Expert Advisor (Robotics). The experimental results show the advantages of use SVM compared to the transactions without use SVM ones.
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