摘要
应用结构模式识别的方法建立多阶均线形态组合序列通过对股市历史数据的变换和分析考查各形态组合序列对应的盈利和亏损概率建立新的证券投资分析方法即均线形态组合预测法其优点是可以部分弥补传统技术分析中的滞后性和不确定性能根据市场的变化及时调整相应的参数指标有效提高预测的成功率并易用计算机作出识别
By using the method of structural pattern recognition, multistage sequence of equal-string form is built. By transforming and analyzing history data of stock market, examining the probability of payoff or loss, a new analysis method of securities investment is established, namely equal-string form combination predicted method. By this prediction method, the lag and the uncertainty of traditional analysis can be remedied partly, the relevant parameter to consistent with the movement of market can be adjusted immediately, and the success ratio of forecast can be also heightened. In the meanwhile, computer can easily recognize it.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2002年第1期88-91,共4页
Journal of University of Electronic Science and Technology of China
基金
国家教育部高等学校骨干教师
国家杰出青年科学家基金资助项目
四川省学术与技术带头人培养基金资助项目
关键词
证券投资分析
均线形态组合
盈利概率
securities investment analysis
equal-string form
equal-string form combination
probability of payoff
