//------------------------------------------------------------------
//
//------------------------------------------------------------------
#property copyright  ""
#property link       ""

#property indicator_separate_window
#property indicator_buffers 3
#property indicator_color1 LimeGreen
#property indicator_color2 Red
#property indicator_width1 3
#property indicator_width2 3
#property indicator_width3 3
#import "user32.dll"
   int GetDC(int hwnd);
   int ReleaseDC(int hwnd,int hdc);
#import "gdi32.dll"
   color GetPixel(int hdc,int x,int y);

enum maTypes
{
   ma_sma,     // simple moving average - SMA
   ma_ema,     // exponential moving average - EMA
   ma_dsema,   // double smoothed exponential moving average - DSEMA
   ma_dema,    // double exponential moving average - DEMA
   ma_tema,    // tripple exponential moving average - TEMA
   ma_smma,    // smoothed moving average - SMMA
   ma_lwma,    // linear weighted moving average - LWMA
   ma_pwma,    // parabolic weighted moving average - PWMA
   ma_alxma,   // Alexander moving average - ALXMA
   ma_vwma,    // volume weighted moving average - VWMA
   ma_hull,    // Hull moving average
   ma_tma,     // triangular moving average
   ma_sine,    // sine weighted moving average
   ma_linr,    // linear regression value
   ma_ie2,     // IE/2
   ma_nlma,    // non lag moving average
   ma_zlma,    // zero lag moving average
   ma_lead,    // leader exponential moving average
   ma_ssm,     // super smoother
   ma_smoo     // smoother
};

extern int     PERIOD           =  10;
extern int     AVERAGE          =  10;
extern maTypes AverageTypeToUse = ma_smoo;
extern bool    alertsOn         = true;
extern bool    alertsOnCurrent  = false;
extern bool    alertsMessage    = true;
extern bool    alertsSound      = true;
extern bool    alertsEmail      = false;
extern bool    alertsNotify     = false;
extern string  soundfile        = "alert2.wav";


double BullHBuffer[];
double BearHBuffer[];
double ZeroBuffer[];
double pa[];
double pa5[];
double rsv[];
double pak[];
double pad[];
double trend[];

//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//

int init()
{
   if(PERIOD  < 2) PERIOD  = 2;
   if(AVERAGE < 2) AVERAGE = 2;
   
   IndicatorBuffers(9);
   SetIndexBuffer(0, BullHBuffer); SetIndexStyle(0,DRAW_HISTOGRAM); SetIndexLabel(0,"Bull High"); SetIndexEmptyValue(0,0);
   SetIndexBuffer(1, BearHBuffer); SetIndexStyle(1,DRAW_HISTOGRAM); SetIndexLabel(1,"Bear High"); SetIndexEmptyValue(1,0);       
   SetIndexBuffer(2, ZeroBuffer);  SetIndexStyle(2,DRAW_HISTOGRAM); SetIndexLabel(2,"Low");       SetIndexEmptyValue(2,0);
   SetIndexBuffer(3, pa);
   SetIndexBuffer(4, pa5);
   SetIndexBuffer(5, rsv);
   SetIndexBuffer(6, pak);
   SetIndexBuffer(7, pad);
   SetIndexBuffer(8, trend);
   IndicatorShortName("Afl Winner averages (" + PERIOD + "," + AVERAGE + " - " + getAverageName(AverageTypeToUse)+" )");
   return(0);
}

//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//

int start()
{
   int k,counted_bars=IndicatorCounted();
      if(counted_bars<0) return(-1);
      if(counted_bars>0) counted_bars--;
         int limit = MathMin(Bars-counted_bars,Bars-1);
         int hwnd  = ChartGetInteger(ChartID(),CHART_WINDOW_HANDLE);
         int hdc   = GetDC(hwnd);
         color back_ground = GetPixel(hdc,1,2); ReleaseDC(hwnd,hdc);
            SetIndexStyle(2,DRAW_HISTOGRAM,EMPTY,EMPTY,back_ground);

   //
   //
   //
   //
   //
   
   for(int i=limit; i>=0; i--)
   {
      pa[i] = (2*Close[i]+High[i]+Low[i])/4;
         double scost5=0;   for(k=0; k < AVERAGE; k++) scost5   += Volume[i+k]*pa[i+k];
         double svolume5=0; for(k=0; k < AVERAGE; k++) svolume5 += Volume[i+k];
            if (svolume5==0) continue;   
      
         pa5[i] = scost5/svolume5;

            double min = pa5[ArrayMinimum(pa5,PERIOD,i)];
            double max = pa5[ArrayMaximum(pa5,PERIOD,i)];
      
         rsv[i] = ((pa5[i] - min)/MathMax(max-min,Point))*100;
         pak[i] = iCustomMa(AverageTypeToUse,rsv[i],AVERAGE,i,0);
         pad[i] = iCustomMa(AverageTypeToUse,pak[i],AVERAGE,i,1);
         trend[i] = trend[i+1];
         if(pak[i]>pad[i])
               { BullHBuffer[i] = pak[i]; ZeroBuffer[i]  = pad[i]; BearHBuffer[i] = 0; trend[i] =  1; }
         else  { BearHBuffer[i] = pad[i]; ZeroBuffer[i]  = pak[i]; BullHBuffer[i] = 0; trend[i] = -1; }
   }
   
   //
   //
   //
   //
   //
   
   if (alertsOn)
   {
      if (alertsOnCurrent)
           int whichBar = 0;
      else     whichBar = 1; 

      //
      //
      //
      //
      //
            
      static datetime time1 = 0;
      static string   mess1 = "";
      if (trend[whichBar] != trend[whichBar+1])
      {
         if (trend[whichBar] ==  1) doAlert(time1,mess1,whichBar,"slope changed to up");
         if (trend[whichBar] == -1) doAlert(time1,mess1,whichBar,"slope changed to down");
      }
   }
   return(0);
}

//------------------------------------------------------------------
//                                                                  
//------------------------------------------------------------------
//
//
//
//
//

void doAlert(datetime& previousTime, string& previousAlert, int forBar, string doWhat)
{
   string message;
   
   if (previousAlert != doWhat || previousTime != Time[forBar]) {
       previousAlert  = doWhat;
       previousTime   = Time[forBar];

       //
       //
       //
       //
       //

        message =  StringConcatenate(Symbol()," at ",TimeToStr(TimeLocal(),TIME_SECONDS)," afl winner ",doWhat);
          if (alertsMessage) Alert(message);
          if (alertsNotify)  SendNotification(message);
          if (alertsEmail)   SendMail(StringConcatenate(Symbol()," afl winner "),message);
          if (alertsSound)   PlaySound(soundfile);
   }
}

//------------------------------------------------------------------
//                                                                  
//------------------------------------------------------------------
//
//
//
//
//

string methodNames[] = {"SMA","EMA","Double smoothed EMA","Double EMA","Tripple EMA","Smoothed MA","Linear weighted MA","Parabolic weighted MA","Alexander MA","Volume weghted MA","Hull MA","Triangular MA","Sine weighted MA","Linear regression","IE/2","NonLag MA","Zero lag EMA","Leader EMA","Super smoother","Smoothed"};
string getAverageName(int method)
{
   int max = ArraySize(methodNames)-1;
      method=MathMax(MathMin(method,max),0); return(methodNames[method]);
}

//
//
//
//
//

#define _maWorkBufferx1 2
#define _maWorkBufferx2 4
#define _maWorkBufferx3 6
#define _maWorkBufferx5 10

double iCustomMa(int mode, double price, double length, int i, int instanceNo=0)
{
   int r = Bars-i-1;
   switch (mode)
   {
      case 0  : return(iSma(price,(int)length,r,instanceNo));
      case 1  : return(iEma(price,length,r,instanceNo));
      case 2  : return(iDsema(price,length,r,instanceNo));
      case 3  : return(iDema(price,length,r,instanceNo));
      case 4  : return(iTema(price,length,r,instanceNo));
      case 5  : return(iSmma(price,length,r,instanceNo));
      case 6  : return(iLwma(price,length,r,instanceNo));
      case 7  : return(iLwmp(price,length,r,instanceNo));
      case 8  : return(iAlex(price,length,r,instanceNo));
      case 9  : return(iWwma(price,length,r,instanceNo));
      case 10 : return(iHull(price,length,r,instanceNo));
      case 11 : return(iTma(price,length,r,instanceNo));
      case 12 : return(iSineWMA(price,(int)length,r,instanceNo));
      case 13 : return(iLinr(price,length,r,instanceNo));
      case 14 : return(iIe2(price,length,r,instanceNo));
      case 15 : return(iNonLagMa(price,length,r,instanceNo));
      case 16 : return(iZeroLag(price,length,r,instanceNo));
      case 17 : return(iLeader(price,length,r,instanceNo));
      case 18 : return(iSsm(price,length,r,instanceNo));
      case 19 : return(iSmooth(price,(int)length,r,instanceNo));
      default : return(0);
   }
}

//------------------------------------------------------------------
//                                                                  
//------------------------------------------------------------------
//
//
//
//
//

double workSma[][_maWorkBufferx2];
double iSma(double price, int period, int r, int instanceNo=0)
{
   if (ArrayRange(workSma,0)!= Bars) ArrayResize(workSma,Bars); instanceNo *= 2;

   //
   //
   //
   //
   //
      
   workSma[r][instanceNo] = price;
   if (r>=period)
          workSma[r][instanceNo+1] = workSma[r-1][instanceNo+1]+(workSma[r][instanceNo]-workSma[r-period][instanceNo])/period;
   else { workSma[r][instanceNo+1] = 0; for(int k=0; k<period && (r-k)>=0; k++) workSma[r][instanceNo+1] += workSma[r-k][instanceNo];  
          workSma[r][instanceNo+1] /= k; }
   return(workSma[r][instanceNo+1]);
}

//
//
//
//
//

double workEma[][_maWorkBufferx1];
double iEma(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workEma,0)!= Bars) ArrayResize(workEma,Bars);

   //
   //
   //
   //
   //
      
   double alpha = 2.0 / (1.0+period);
          workEma[r][instanceNo] = workEma[r-1][instanceNo]+alpha*(price-workEma[r-1][instanceNo]);
   return(workEma[r][instanceNo]);
}

//
//
//
//
//

double workDsema[][_maWorkBufferx2];
#define _ema1 0
#define _ema2 1

double iDsema(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workDsema,0)!= Bars) ArrayResize(workDsema,Bars); instanceNo*=2;

   //
   //
   //
   //
   //
      
   double alpha = 2.0 /(1.0+MathSqrt(period));
          workDsema[r][_ema1+instanceNo] = workDsema[r-1][_ema1+instanceNo]+alpha*(price                         -workDsema[r-1][_ema1+instanceNo]);
          workDsema[r][_ema2+instanceNo] = workDsema[r-1][_ema2+instanceNo]+alpha*(workDsema[r][_ema1+instanceNo]-workDsema[r-1][_ema2+instanceNo]);
   return(workDsema[r][_ema2+instanceNo]);
}

//
//
//
//
//

double workDema[][_maWorkBufferx2];
#define _dema1 0
#define _dema2 1

double iDema(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workDema,0)!= Bars) ArrayResize(workDema,Bars); instanceNo*=2;

   //
   //
   //
   //
   //
      
   double alpha = 2.0 / (1.0+period);
          workDema[r][_dema1+instanceNo] = workDema[r-1][_dema1+instanceNo]+alpha*(price                         -workDema[r-1][_dema1+instanceNo]);
          workDema[r][_dema2+instanceNo] = workDema[r-1][_dema2+instanceNo]+alpha*(workDema[r][_dema1+instanceNo]-workDema[r-1][_dema2+instanceNo]);
   return(workDema[r][_dema1+instanceNo]*2.0-workDema[r][_dema2+instanceNo]);
}

//
//
//
//
//

double workTema[][_maWorkBufferx3];
#define _tema1 0
#define _tema2 1
#define _tema3 2

double iTema(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workTema,0)!= Bars) ArrayResize(workTema,Bars); instanceNo*=3;

   //
   //
   //
   //
   //
      
   double alpha = 2.0 / (1.0+period);
          workTema[r][_tema1+instanceNo] = workTema[r-1][_tema1+instanceNo]+alpha*(price                         -workTema[r-1][_tema1+instanceNo]);
          workTema[r][_tema2+instanceNo] = workTema[r-1][_tema2+instanceNo]+alpha*(workTema[r][_tema1+instanceNo]-workTema[r-1][_tema2+instanceNo]);
          workTema[r][_tema3+instanceNo] = workTema[r-1][_tema3+instanceNo]+alpha*(workTema[r][_tema2+instanceNo]-workTema[r-1][_tema3+instanceNo]);
   return(workTema[r][_tema3+instanceNo]+3.0*(workTema[r][_tema1+instanceNo]-workTema[r][_tema2+instanceNo]));
}

//
//
//
//
//

double workSmma[][_maWorkBufferx1];
double iSmma(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workSmma,0)!= Bars) ArrayResize(workSmma,Bars);

   //
   //
   //
   //
   //

   if (r<period)
         workSmma[r][instanceNo] = price;
   else  workSmma[r][instanceNo] = workSmma[r-1][instanceNo]+(price-workSmma[r-1][instanceNo])/period;
   return(workSmma[r][instanceNo]);
}

//
//
//
//
//

double workLwma[][_maWorkBufferx1];
double iLwma(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workLwma,0)!= Bars) ArrayResize(workLwma,Bars);
   
   //
   //
   //
   //
   //
   
   workLwma[r][instanceNo] = price;
      double sumw = period;
      double sum  = period*price;

      for(int k=1; k<period && (r-k)>=0; k++)
      {
         double weight = period-k;
                sumw  += weight;
                sum   += weight*workLwma[r-k][instanceNo];  
      }             
      return(sum/sumw);
}

//
//
//
//
//

double workLwmp[][_maWorkBufferx1];
double iLwmp(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workLwmp,0)!= Bars) ArrayResize(workLwmp,Bars);
   
   //
   //
   //
   //
   //
   
   workLwmp[r][instanceNo] = price;
      double sumw = period*period;
      double sum  = sumw*price;

      for(int k=1; k<period && (r-k)>=0; k++)
      {
         double weight = (period-k)*(period-k);
                sumw  += weight;
                sum   += weight*workLwmp[r-k][instanceNo];  
      }             
      return(sum/sumw);
}

//
//
//
//
//

double workAlex[][_maWorkBufferx1];
double iAlex(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workAlex,0)!= Bars) ArrayResize(workAlex,Bars);
   if (period<4) return(price);
   
   //
   //
   //
   //
   //

   workAlex[r][instanceNo] = price;
      double sumw = period-2;
      double sum  = sumw*price;

      for(int k=1; k<period && (r-k)>=0; k++)
      {
         double weight = period-k-2;
                sumw  += weight;
                sum   += weight*workAlex[r-k][instanceNo];  
      }             
      return(sum/sumw);
}

//
//
//
//
//

double workTma[][_maWorkBufferx1];
double iTma(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workTma,0)!= Bars) ArrayResize(workTma,Bars);
   
   //
   //
   //
   //
   //
   
   workTma[r][instanceNo] = price;

      double half = (period+1.0)/2.0;
      double sum  = price;
      double sumw = 1;

      for(int k=1; k<period && (r-k)>=0; k++)
      {
         double weight = k+1; if (weight > half) weight = period-k;
                sumw  += weight;
                sum   += weight*workTma[r-k][instanceNo];  
      }             
      return(sum/sumw);
}

//
//
//
//
//

double workSineWMA[][_maWorkBufferx1];
#define Pi 3.14159265358979323846264338327950288

double iSineWMA(double price, int period, int r, int instanceNo=0)
{
   if (period<1) return(price);
   if (ArrayRange(workSineWMA,0)!= Bars) ArrayResize(workSineWMA,Bars);
   
   //
   //
   //
   //
   //
   
   workSineWMA[r][instanceNo] = price;
      double sum  = 0;
      double sumw = 0;
  
      for(int k=0; k<period && (r-k)>=0; k++)
      { 
         double weight = MathSin(Pi*(k+1.0)/(period+1.0));
                sumw  += weight;
                sum   += weight*workSineWMA[r-k][instanceNo]; 
      }
      return(sum/sumw);
}

//
//
//
//
//

double workWwma[][_maWorkBufferx1];
double iWwma(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workWwma,0)!= Bars) ArrayResize(workWwma,Bars);
   
   //
   //
   //
   //
   //
   
   workWwma[r][instanceNo] = price;
      int    i    = Bars-r-1;
      double sumw = Volume[i];
      double sum  = sumw*price;

      for(int k=1; k<period && (r-k)>=0; k++)
      {
         double weight = Volume[i+k];
                sumw  += weight;
                sum   += weight*workWwma[r-k][instanceNo];  
      }             
      return(sum/sumw);
}

//
//
//
//
//

double workHull[][_maWorkBufferx2];
double iHull(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workHull,0)!= Bars) ArrayResize(workHull,Bars);

   //
   //
   //
   //
   //

      int HmaPeriod  = MathMax(period,2);
      int HalfPeriod = MathFloor(HmaPeriod/2);
      int HullPeriod = MathFloor(MathSqrt(HmaPeriod));
      double hma,hmw,weight; instanceNo *= 2;

         workHull[r][instanceNo] = price;

         //
         //
         //
         //
         //
               
         hmw = HalfPeriod; hma = hmw*price; 
            for(int k=1; k<HalfPeriod && (r-k)>=0; k++)
            {
               weight = HalfPeriod-k;
               hmw   += weight;
               hma   += weight*workHull[r-k][instanceNo];  
            }             
            workHull[r][instanceNo+1] = 2.0*hma/hmw;

         hmw = HmaPeriod; hma = hmw*price; 
            for(k=1; k<period && (r-k)>=0; k++)
            {
               weight = HmaPeriod-k;
               hmw   += weight;
               hma   += weight*workHull[r-k][instanceNo];
            }             
            workHull[r][instanceNo+1] -= hma/hmw;

         //
         //
         //
         //
         //
         
         hmw = HullPeriod; hma = hmw*workHull[r][instanceNo+1];
            for(k=1; k<HullPeriod && (r-k)>=0; k++)
            {
               weight = HullPeriod-k;
               hmw   += weight;
               hma   += weight*workHull[r-k][1+instanceNo];  
            }
   return(hma/hmw);
}

//
//
//
//
//

double workLinr[][_maWorkBufferx1];
double iLinr(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workLinr,0)!= Bars) ArrayResize(workLinr,Bars);

   //
   //
   //
   //
   //
   
      period = MathMax(period,1);
      workLinr[r][instanceNo] = price;
         double lwmw = period; double lwma = lwmw*price;
         double sma  = price;
         for(int k=1; k<period && (r-k)>=0; k++)
         {
            double weight = period-k;
                   lwmw  += weight;
                   lwma  += weight*workLinr[r-k][instanceNo];  
                   sma   +=        workLinr[r-k][instanceNo];
         }             
   
   return(3.0*lwma/lwmw-2.0*sma/period);
}

//
//
//
//
//

double workIe2[][_maWorkBufferx1];
double iIe2(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workIe2,0)!= Bars) ArrayResize(workIe2,Bars);

   //
   //
   //
   //
   //
   
      period = MathMax(period,1);
      workIe2[r][instanceNo] = price;
         double sumx=0, sumxx=0, sumxy=0, sumy=0;
         for (int k=0; k<period; k++)
         {
            price = workIe2[r-k][instanceNo];
                   sumx  += k;
                   sumxx += k*k;
                   sumxy += k*price;
                   sumy  +=   price;
         }
         double slope   = (period*sumxy - sumx*sumy)/(sumx*sumx-period*sumxx);
         double average = sumy/period;
   return(((average+slope)+(sumy+slope*sumx)/period)/2.0);
}

//
//
//
//
//

double workLeader[][_maWorkBufferx2];
double iLeader(double price, double period, int r, int instanceNo=0)
{
   if (ArrayRange(workLeader,0)!= Bars) ArrayResize(workLeader,Bars); instanceNo*=2;

   //
   //
   //
   //
   //
   
      period = MathMax(period,1);
      double alpha = 2.0/(period+1.0);
         workLeader[r][instanceNo  ] = workLeader[r-1][instanceNo  ]+alpha*(price                          -workLeader[r-1][instanceNo  ]);
         workLeader[r][instanceNo+1] = workLeader[r-1][instanceNo+1]+alpha*(price-workLeader[r][instanceNo]-workLeader[r-1][instanceNo+1]);

   return(workLeader[r][instanceNo]+workLeader[r][instanceNo+1]);
}

//
//
//
//
//

double workZl[][_maWorkBufferx2];
#define _price 0
#define _zlema 1

double iZeroLag(double price, double length, int r, int instanceNo=0)
{
   if (ArrayRange(workZl,0)!=Bars) ArrayResize(workZl,Bars); instanceNo *= 2;

   //
   //
   //
   //
   //

   double alpha = 2.0/(1.0+length); 
   int    per   = (length-1.0)/2.0; 

   workZl[r][_price+instanceNo] = price;
   if (r<per)
          workZl[r][_zlema+instanceNo] = price;
   else   workZl[r][_zlema+instanceNo] = workZl[r-1][_zlema+instanceNo]+alpha*(2.0*price-workZl[r-per][_price+instanceNo]-workZl[r-1][_zlema+instanceNo]);
   return(workZl[r][_zlema+instanceNo]);
}

//
//
//
//
//

double workSmooth[][_maWorkBufferx5];
double iSmooth(double price,int length,int r, int instanceNo=0)
{
   if (ArrayRange(workSmooth,0)!=Bars) ArrayResize(workSmooth,Bars); instanceNo *= 5;
 	if(r<=2) { workSmooth[r][instanceNo] = price; workSmooth[r][instanceNo+2] = price; workSmooth[r][instanceNo+4] = price; return(price); }
   
   //
   //
   //
   //
   //
   
	double alpha = 0.45*(length-1.0)/(0.45*(length-1.0)+2.0);
   	  workSmooth[r][instanceNo+0] =  price+alpha*(workSmooth[r-1][instanceNo]-price);
	     workSmooth[r][instanceNo+1] = (price - workSmooth[r][instanceNo])*(1-alpha)+alpha*workSmooth[r-1][instanceNo+1];
	     workSmooth[r][instanceNo+2] =  workSmooth[r][instanceNo+0] + workSmooth[r][instanceNo+1];
	     workSmooth[r][instanceNo+3] = (workSmooth[r][instanceNo+2] - workSmooth[r-1][instanceNo+4])*MathPow(1.0-alpha,2) + MathPow(alpha,2)*workSmooth[r-1][instanceNo+3];
	     workSmooth[r][instanceNo+4] =  workSmooth[r][instanceNo+3] + workSmooth[r-1][instanceNo+4]; 
   return(workSmooth[r][instanceNo+4]);
}

//
//
//
//
//

double workSsm[][_maWorkBufferx2];
#define _tprice  0
#define _ssm    1

double workSsmCoeffs[][4];
#define _period 0
#define _c1     1
#define _c2     2
#define _c3     3

//
//
//
//
//

double iSsm(double price, double period, int i, int instanceNo)
{
   if (ArrayRange(workSsm,0) !=Bars)                 ArrayResize(workSsm,Bars);
   if (ArrayRange(workSsmCoeffs,0) < (instanceNo+1)) ArrayResize(workSsmCoeffs,instanceNo+1);
   if (workSsmCoeffs[instanceNo][_period] != period)
   {
      workSsmCoeffs[instanceNo][_period] = period;
      double a1 = MathExp(-1.414*Pi/period);
      double b1 = 2.0*a1*MathCos(1.414*Pi/period);
         workSsmCoeffs[instanceNo][_c2] = b1;
         workSsmCoeffs[instanceNo][_c3] = -a1*a1;
         workSsmCoeffs[instanceNo][_c1] = 1.0 - workSsmCoeffs[instanceNo][_c2] - workSsmCoeffs[instanceNo][_c3];
   }

   //
   //
   //
   //
   //

      int s = instanceNo*2;   
          workSsm[i][s+_tprice] = price;
          workSsm[i][s+_ssm]    = workSsmCoeffs[instanceNo][_c1]*(workSsm[i][s+_tprice]+workSsm[i-1][s+_tprice])/2.0 + 
                                  workSsmCoeffs[instanceNo][_c2]*workSsm[i-1][s+_ssm]                                + 
                                  workSsmCoeffs[instanceNo][_c3]*workSsm[i-2][s+_ssm]; 
   return(workSsm[i][s+_ssm]);
}

//
//
//
//
//

#define _length  0
#define _len     1
#define _weight  2

double  nlmvalues[3][_maWorkBufferx1];
double  nlmprices[ ][_maWorkBufferx1];
double  nlmalphas[ ][_maWorkBufferx1];

//
//
//
//
//

double iNonLagMa(double price, double length, int r, int instanceNo=0)
{
   if (ArrayRange(nlmprices,0) != Bars)       ArrayResize(nlmprices,Bars);
   if (ArrayRange(nlmvalues,0) <  instanceNo) ArrayResize(nlmvalues,instanceNo);
                               nlmprices[r][instanceNo]=price;
   if (length<3 || r<3) return(nlmprices[r][instanceNo]);
   
   //
   //
   //
   //
   //
   
   if (nlmvalues[_length][instanceNo] != length  || ArraySize(nlmalphas)==0)
   {
      double Cycle = 4.0;
      double Coeff = 3.0*Pi;
      int    Phase = length-1;
      
         nlmvalues[_length][instanceNo] = length;
         nlmvalues[_len   ][instanceNo] = length*4 + Phase;  
         nlmvalues[_weight][instanceNo] = 0;

         if (ArrayRange(nlmalphas,0) < nlmvalues[_len][instanceNo]) ArrayResize(nlmalphas,nlmvalues[_len][instanceNo]);
         for (int k=0; k<nlmvalues[_len][instanceNo]; k++)
         {
            if (k<=Phase-1) 
                 double t = 1.0 * k/(Phase-1);
            else        t = 1.0 + (k-Phase+1)*(2.0*Cycle-1.0)/(Cycle*length-1.0); 
            double beta = MathCos(Pi*t);
            double g = 1.0/(Coeff*t+1); if (t <= 0.5 ) g = 1;
      
            nlmalphas[k][instanceNo]        = g * beta;
            nlmvalues[_weight][instanceNo] += nlmalphas[k][instanceNo];
         }
   }
   
   //
   //
   //
   //
   //
   
   if (nlmvalues[_weight][instanceNo]>0)
   {
      double sum = 0;
           for (k=0; k < nlmvalues[_len][instanceNo]; k++) sum += nlmalphas[k][instanceNo]*nlmprices[r-k][instanceNo];
           return( sum / nlmvalues[_weight][instanceNo]);
   }
   else return(0);           
}