首页> 外文会议>International Conference on Systems, Man, and Cybernetics >A Sophisticated Optimization Algorithm for Obtaining a Group Trading Strategy Portfolio and Its Stop-Loss and Take-Profit Points
【24h】

A Sophisticated Optimization Algorithm for Obtaining a Group Trading Strategy Portfolio and Its Stop-Loss and Take-Profit Points

机译:获取集团交易策略组合及其止损和止盈点的复杂优化算法

获取原文

摘要

Due to the variety of financial markers, to determine an appropriate timing for buying or selling stocks is always a difficult task, the common way to handle it is using trading strategies formed by technical or fundamental indicators. To deal with the problem, an approach was proposed for optimizing a group trading strategy portfolio in the previous approach. To avoid unpredictable loss, the stop-loss and take-profit points are commonly used by investors to handle it. However, they are not easy determined by users when different trading strategies are employed. In this paper, attempting to provide a more useful group trading strategy portfolio, we propose an algorithm for obtaining a group trading strategy portfolio and its stop-loss and take-profit points using the grouping genetic algorithm. Experiments were conducted on a real dataset to reveal the effectiveness of the proposed approach.
机译:由于财务指标的多样性,确定合适的买卖股票时机始终是一项艰巨的任务,处理此问题的常用方法是使用由技术或基本指标形成的交易策略。为了解决该问题,在先前的方法中提出了一种用于优化组交易策略组合的方法。为了避免不可预期的损失,投资者通常使用止损点和获利点来处理损失。但是,当采用不同的交易策略时,用户不容易确定它们。在本文中,为提供一种更有用的团体交易策略组合,我们提出了一种使用分组遗传算法获取团体交易策略组合及其止损和获利点的算法。在真实的数据集上进行了实验,以揭示该方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号