DocumentCode :
1624758
Title :
Utilization of NNs and GAs for improving the traditional technical analysis in the financial market
Author :
Baba, Norio ; Kawachi, Tomoko ; Nomura, Toshinori ; Sakatani, Yuuki
Author_Institution :
Inf. Sci., Osaka Kyoiku Univ., Japan
Volume :
2
fYear :
2004
Firstpage :
1409
Abstract :
Soft computing techniques have been applied successfully to various actual problems. In this paper, we propose a new decision support system for dealing stocks which improves the traditional technical analysis by using GAs. Further, we also briefly touch upon our trial utilizing NNs for this objective. Several computer simulation results confirm the effectiveness of the proposed DSS.
Keywords :
decision support systems; genetic algorithms; neural nets; stock markets; decision support system; financial market; genetic algorithms; neural nets; soft computing; technical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE 2004 Annual Conference
Conference_Location :
Sapporo
Print_ISBN :
4-907764-22-7
Type :
conf
Filename :
1491644
Link To Document :
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