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Stock Technical Analysis using Fuzzy Logic

This paper proposes a fuzzy logic based DSS for stock market. This system will help investors of the stock market to take the correct buy/sell/hold decisions. The results obtained from the proposed fuzzy logic model were satisfactory. A fuzzy tuning methodology was introduced to enhance the accuracy of the decisions. The tuning methodology which uses genetic algorithms is presented also in this paper. Experimental simulation using actual price data from NASDAQ index is carried out to demonstrate the power of the proposed model.