首页> 外文会议>International conference on business information systems;BIS 2010 >Short Term Trading Strategy Based on Chart Pattern Recognition and Trend Trading in Nasdaq Biotechnology Stock Market
【24h】

Short Term Trading Strategy Based on Chart Pattern Recognition and Trend Trading in Nasdaq Biotechnology Stock Market

机译:纳斯达克生物技术股票市场中基于图表模式识别和趋势交易的短期交易策略

获取原文

摘要

The main task of this paper is to show the results of stock market trading strategy based on short term chart pattern. Proposed short term chart pattern is a trend following pattern and is relative to fractal formations and chaos theory. The proposed trading strategy consists of two steps: on the first step the stock screening algorithm is used to select volatile stocks in Nasdaq Biotechnology market; on the second step technical analysis and mathematical calculations for selected stocks are applied and profitability of strategy is calculated. The proposed trading strategy based on short term chart pattern was tested using historical data records from the USA Nasdaq Biotechnology market (2008-2010). The trading strategy applied in Biotechnology stock market had given higher returns if compared to the main USA stock market indexes (Dow Jones, S&P, Nasdaq).
机译:本文的主要任务是显示基于短期图表模式的股票交易策略的结果。拟议的短期图表形态是跟随形态的趋势,并且与分形形成和混沌理论有关。拟议的交易策略包括两个步骤:第一步,使用股票筛选算法来选择纳斯达克生物技术市场中的易变股票;第二步,对选定的股票进行技术分析和数学计算,并计算策略的获利能力。使用美国纳斯达克生物技术市场(2008-2010)的历史数据记录对基于短期图表模式的建议交易策略进行了测试。与美国主要股票市场指数(道琼斯,标准普尔,纳斯达克)相比,应用于生物技术股票市场的交易策略获得了更高的回报。

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