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On-demand forecasting of stock prices using a real-time predictor

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1 Author(s)
Yi-Fan Wang ; Dept. of Inf. Manage., Chang Gung Inst. of Technol., Taoyuan, Taiwan

This paper presents a fuzzy stochastic prediction method for real-time predicting of stock prices. A complete contrast to the crisp stochastic method, it requires a fuzzy linguistic summary approach to computing parameters. This approach, which is found to be better than the gray prediction method, can eliminate outliers and limit the data to a normal condition for prediction, with a comparatively very small deviation of 4.5 percent.

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Knowledge and Data Engineering, IEEE Transactions on  (Volume:15 ,  Issue: 4 )