In this paper, we mainly study the law of stock price changes and the fitting method of it. After introducing the key point of fractal and Genetic Algorithm, we focus on explaining the inverse problems of piecewise fractal interpolation theoretically first. Then, based on the theory, we analyze a large amount of stock price data, calculate all the values of parameters in the model, and finally get an image of the attractor. The result is comparatively satisfying, so that this algorithm is very effective.


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    Title :

    Fractal Fitting Research on Stock Prices


    Contributors:
    Yong, Lin (author) / Xin, Tong (author)


    Publication date :

    2008-05-01


    Size :

    383990 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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