A Trading Decision Support System Based on Neuro-Fuzzy Technique: Evidence from Asian Stock Market
نویسندگان
چکیده
This paper aims to apply the neuro-fuzzy technique to refine the Stochastics technical trading rules to forecast the Asian stock market. Essentially in this hybrid technique, fuzzy logic plays the role to formulate the relationship among the Stochastics indicators and stock price changes by using knowledge base. Neural networking is used to tune the formulated knowledge base based on historical data. The empirical results show that this hybrid technique could capture the relationship among the Stochastics indicators and stock price changes very effectively. The rate of return of this proposed trading system is definitely greater than that of both buy and hold strategy and traditional Stochastics trading system.
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