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    Overview: Wavelet Smoothing Indicator Family

    Example 3. The indicator shows the family of low-frequency filters, derived by consecutive subtraction of the filtered wavelet coefficients from the filtered price (see figure):

    Two indicators, TS_Wvl Filter Family and TS_Wvl Filter Family 22 are applied there: the first builds filters from 1-st to 4-th scale and the second from 5-th to 8-th.

    EasyLanguage:
     
    {******************************************************** 
    Non-decimated Haar Wavelet Smoothing Indicator Family 
    Copyright (c) 2002 Trade Smart Research Group 
    Notes: The math is based on Multiresolution Analysis of time series www.multiresolutions.com 
    ********************************************************}
     
     
    Inputs: Price(MedianPrice), {a price series}  
    NSigma(2); {threshold value signal / noise} 
     
    vars: Lookback(0), count(0); {definition of variables} 
    Array: ArrayPrice[16](0); {definition of Array} 
     
    defineDLLFunc"tswvl.DLL"FLOAT"RUNWVL",LPFLOAT,int,float{definition dll} 
    defineDLLFunc"tswvl.DLL"FLOAT"GETALLVALUES",int,int
     
    for count = 0 to 15 begin {the task of elements of Array} 
    ArrayPrice[count] = Price[count]; 
    end
     
    Value11 = RUNWVL(&ArrayPrice[0], 4, NSigma); {call dll function} 
    Value1 = value11 - GetAllValues(3,1); 
    Value2 = value1 - GetAllValues(3,2); 
    Value3 = value2 - GetAllValues(3,3); 
    Value4 = value3 - GetAllValues(3,4); 
     
    Plot1(value1, "1"); {drawing of charts} 
    Plot2(value2, "2"); 
    Plot3(value3, "3"); 
    Plot4(value4, "4"); 


    <<< Wavelet Detrended & Denoised Price Function
    Wavelet Coefficients >>>


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