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nth ( 1 - 8 ) Order Polynomial Fit.afl：源码内容
							//------------------------------------------------------------------------------
//
//  Formula Name:    nth ( 1 - 8 ) Order Polynomial Fit
//  Author/Uploader: Fred Tonetti 
//  E-mail:          
//  Date/Time Added: 2006-10-03 18:18:42
//  Origin:          
//  Keywords:        nth Order Polynomial Fit Trendline Gauss
//  Level:           medium
//  Flags:           showemail,function
//  Formula URL:     http://www.amibroker.com/library/formula.php?id=731
//  Details URL:     http://www.amibroker.com/library/detail.php?id=731
//
//------------------------------------------------------------------------------
//
//  nth ( 1 - 8 ) Order Polynomial Fit of data using Gaussian Elimination for
//  simultaneous solution of multiple linear equations. It can extrapolate
//  forward and/or backwards
//
//------------------------------------------------------------------------------
// *********************************************************
// *
// * VBS Function for Gaussian Elimination
// *
// *     Called by PolyFit ( AFL )
// *
// *********************************************************
EnableScript("VBScript");
<%
function Gaussian_Elimination (GE_Order, GE_N, GE_SumXn, GE_SumYXn)
    Dim b(10, 10)
    Dim w(10)
    Dim Coeff(10)
    for i = 1 To 10
        Coeff(i) = 0
    next
    n = GE_Order + 1
    for i = 1 to n
        for j = 1 to  n
            if i = 1 AND j = 1 then
                b(i, j) = cDBL(GE_N)
            else
                b(i, j) = cDbl(GE_SumXn(i + j - 2))
            end if
        next      
        w(i) = cDbl(GE_SumYXn(i))
    next
    n1 = n - 1
    for i = 1 to n1
        big = cDbl(abs(b(i, i)))
        q = i
        i1 = i + 1
        for j = i1 to n
            ab = cDbl(abs(b(j, i)))
            if (ab >= big) then
                big = ab
                q = j
            end if
        next
        if (big <> 0.0) then
            if (q <> i) then
                for j = 1 to n
                    Temp = cDbl(b(q, j))
                    b(q, j) = b(i, j)
                    b(i, j) = Temp
                next
                Temp = w(i)
                w(i) = w(q)
                w(q) = Temp
            end if
        end if
        for j = i1 to n
            t = cDbl(b(j, i) / b(i, i))
            for k = i1 to n
                b(j, k) = b(j, k) - t * b(i, k)
            next         
            w(j) = w(j) - t * w(i)
        next      
    next
    if (b(n, n) <> 0.0) then
        Coeff(n) = w(n) / b(n, n)
        i = n - 1
        while i > 0
            SumY = cDbl(0)
            i1 = i + 1
            for j = i1 to n
                SumY = SumY + b(i, j) * Coeff(j)
            next
            Coeff(i) = (w(i) - SumY) / b(i, i)
            i = i - 1
        wend   
        Gaussian_Elimination = Coeff
    end if
end function
%>
// *********************************************************
// *
// * AFL Function for nth Order Polynomial Fit
// *     Calls Gaussian_Elimination ( VBS )
// *
// *     Y      = The array to Fit 
// *     BegBar = Beg Bar in range to fit
// *     EndBar = End Bar in range to fit
// *     Order  = 1 - 8 = Order of Poly Fit (Integer)
// *     ExtraB = Number of Bars to Extrapolate (Backward)
// *     ExtraF = Number of Bars to Extrapolate (Forward)
// *
// *********************************************************
 
function PolyFit(GE_Y, GE_BegBar, GE_EndBar, GE_Order, GE_ExtraB, GE_ExtraF)
{
    BI        = BarIndex();
    GE_N      = GE_EndBar - GE_BegBar + 1;
    GE_XBegin = -(GE_N - 1) / 2;
    GE_X      = IIf(BI < GE_BegBar, 0, IIf(BI > GE_EndBar, 0, (GE_XBegin + BI - GE_BegBar)));
    GE_X_Max  = LastValue(Highest(GE_X));
    GE_X      = GE_X / GE_X_Max;
    X1 = GE_X;
    AddColumn(X1, "X1", 1.9);
    GE_Y      = IIf(BI < GE_BegBar, 0, IIf(BI > GE_EndBar, 0, GE_Y));
    GE_SumXn  = Cum(0);
                                 GE_SumXn[1]   = LastValue(Cum(GE_X)); 
    GE_X2     = GE_X * GE_X;     GE_SumXn[2]   = LastValue(Cum(GE_X2));
    GE_X3     = GE_X * GE_X2;    GE_SumXn[3]   = LastValue(Cum(GE_X3)); 
    GE_X4     = GE_X * GE_X3;    GE_SumXn[4]   = LastValue(Cum(GE_X4)); 
    GE_X5     = GE_X * GE_X4;    GE_SumXn[5]   = LastValue(Cum(GE_X5)); 
    GE_X6     = GE_X * GE_X5;    GE_SumXn[6]   = LastValue(Cum(GE_X6)); 
    GE_X7     = GE_X * GE_X6;    GE_SumXn[7]   = LastValue(Cum(GE_X7)); 
    GE_X8     = GE_X * GE_X7;    GE_SumXn[8]   = LastValue(Cum(GE_X8)); 
    GE_X9     = GE_X * GE_X8;    GE_SumXn[9]   = LastValue(Cum(GE_X9)); 
    GE_X10    = GE_X * GE_X9;    GE_SumXn[10]  = LastValue(Cum(GE_X10)); 
    GE_X11    = GE_X * GE_X10;   GE_SumXn[11]  = LastValue(Cum(GE_X11)); 
    GE_X12    = GE_X * GE_X11;   GE_SumXn[12]  = LastValue(Cum(GE_X12)); 
    GE_X13    = GE_X * GE_X12;   GE_SumXn[13]  = LastValue(Cum(GE_X13)); 
    GE_X14    = GE_X * GE_X13;   GE_SumXn[14]  = LastValue(Cum(GE_X14)); 
    GE_X15    = GE_X * GE_X14;   GE_SumXn[15]  = LastValue(Cum(GE_X15)); 
    GE_X16    = GE_X * GE_X15;   GE_SumXn[16]  = LastValue(Cum(GE_X16)); 
    GE_SumYXn = Cum(0);
                                 GE_SumYXn[1]  = LastValue(Cum(GE_Y));
    GE_YX     = GE_Y    * GE_X;  GE_SumYXn[2]  = LastValue(Cum(GE_YX));
    GE_YX2    = GE_YX   * GE_X;  GE_SumYXn[3]  = LastValue(Cum(GE_YX2)); 
    GE_YX3    = GE_YX2  * GE_X;  GE_SumYXn[4]  = LastValue(Cum(GE_YX3));
    GE_YX4    = GE_YX3  * GE_X;  GE_SumYXn[5]  = LastValue(Cum(GE_YX4));
    GE_YX5    = GE_YX4  * GE_X;  GE_SumYXn[6]  = LastValue(Cum(GE_YX5));
    GE_YX6    = GE_YX5  * GE_X;  GE_SumYXn[7]  = LastValue(Cum(GE_YX6));
    GE_YX7    = GE_YX6  * GE_X;  GE_SumYXn[8]  = LastValue(Cum(GE_YX7));
    GE_YX8    = GE_YX7  * GE_X;  GE_SumYXn[9]  = LastValue(Cum(GE_YX8));
    GE_Coeff  = Cum(0);
    GE_VBS    = GetScriptObject();
    GE_Coeff  = GE_VBS.Gaussian_Elimination(GE_Order, GE_N, GE_SumXn, GE_SumYXn);
    for (i = 1; i <= GE_Order + 1; i++)
        printf(NumToStr(i, 1.0) + " = " + NumToStr(GE_Coeff[i], 1.9) + "n");
    GE_X   = IIf(BI < GE_BegBar - GE_ExtraB - GE_ExtraF, 0, IIf(BI > GE_EndBar, 0, (GE_XBegin + BI - GE_BegBar + GE_ExtraF) / GE_X_Max));
    GE_X2  = GE_X   * GE_X; GE_X3  = GE_X2  * GE_X; GE_X4  = GE_X3  * GE_X; GE_X5  = GE_X4  * GE_X; GE_X6  = GE_X5  * GE_X;
    GE_X7  = GE_X6  * GE_X; GE_X8  = GE_X7  * GE_X; GE_X9  = GE_X8  * GE_X; GE_X10 = GE_X9  * GE_X; GE_X11 = GE_X10 * GE_X; 
    GE_X12 = GE_X11 * GE_X; GE_X13 = GE_X12 * GE_X; GE_X14 = GE_X13 * GE_X; GE_X15 = GE_X14 * GE_X; GE_X16 = GE_X15 * GE_X; 
    GE_Yn = IIf(BI < GE_BegBar - GE_ExtraB - GE_ExtraF, -1e10, IIf(BI > GE_EndBar, -1e10, 
            GE_Coeff[1]  + 
            GE_Coeff[2]  * GE_X   + GE_Coeff[3]  * GE_X2  + GE_Coeff[4]  * GE_X3  + GE_Coeff[5]  * GE_X4  + GE_Coeff[6]  * GE_X5  +
            GE_Coeff[7]  * GE_X6  + GE_Coeff[8]  * GE_X7  + GE_Coeff[9]  * GE_X8));
    return GE_Yn;
}
// *********************************************************
// *
// * Demo AFL to use PolyFit
// *
// *********************************************************
Filter = 1;
BI        = BarIndex();
PF_BegBar = BeginValue(BI);
PF_EndBar = EndValue(BI);
PF_Y      = (H + L) / 2;
PF_Order  = Param("nth Order",             3, 1,  8, 1);
PF_ExtraB = Param("Extrapolate Backwards", 0, 0, 50, 1);
PF_ExtraF = Param("Extrapolate Forwards",  0, 0, 50, 1);
Yn = PolyFit(PF_Y, PF_BegBar, PF_EndBar, PF_Order, PF_ExtraB, PF_ExtraF);
GraphXSpace = 10;
Plot(Yn, "nth Order Polynomial Fit - " + NumToStr(PF_Order, 1.0), IIf(BI > PF_EndBar - PF_ExtraF, colorWhite, IIf(BI < PF_BegBar - PF_ExtraF, colorWhite, colorBrightGreen)), styleThick, Null, Null, PF_ExtraF);
PlotOHLC(O, H, L, C, "Close", colorLightGrey, styleCandle);

						