Title :
Data Modeling for Searching Abnormal Noise in Stock Market Based on Genetic Algorithm
Author_Institution :
Inst. of Inf. Technol., Zhejiang Int. Studies Univ., Hangzhou, China
Abstract :
This paper attempts to illustrate the negative impact on Rat Trading in stock market, one of the noise trading forms. In addition, this paper also presents the preliminary design searching the Rat Trading monitoring system including its framework, a genetic algorithm mathematical model, based on genetic algorithm.
Keywords :
financial data processing; genetic algorithms; securities trading; data modeling; genetic algorithm; noise trading; rat trading monitoring system; stock market; Rat Trading; genetic algorithm; monitoring system; noise trading; stock market;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2010 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-8094-4
DOI :
10.1109/ISCID.2010.121
