A New Trial for Improving the Traditional Technical Analysis in the Stock Markets
A New Trial for Improving the Traditional Technical Analysis in the Stock Markets
复制标题
改进股票市场传统技术分析的新尝试
DOI：
10.1007/978-3-540-30132-5_62
复制
发表时间：
2004
期刊：
影响因子：
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通讯作者：
T. Kawachi
中科院分区：
文献类型：
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作者：
N. Baba;T. Kawachi
神经网络、遗传算法等软计算技术在金融市场的使用最近已成为最令人兴奋和最有前途的应用领域之一。在本文中，我们提出了一种新的股票交易决策支持系统（DSS），该系统通过使用遗传算法改进了传统的技术分析。此外，我们还简要介绍了我们最近针对使用神经网络来实现这一目标的尝试。一些计算机模拟结果证实了所提出的 DSS 的有效性。
The use of soft computing techniques such as NNs, GAs, etc. in the financial market has recently become one of the most exciting and promising application areas. In this paper, we propose a new decision support system (DSS) for dealing stocks which improves the traditional technical analysis by using GAs. Further, we also briefly touch upon our recent trial of regarding the utilization of NNs for this objective. Several computer simulation results confirm the effectiveness of the proposed DSS.