//+------------------------------------------------------------------+
//|                        Smoothed Rsi Inverse Fisher Transform.mq4 |
//|                                                           mladen |
//+------------------------------------------------------------------+
#property copyright "www.forex-station.com"
#property link      "www.forex-station.com"

#property indicator_separate_window
#property indicator_buffers    3
#property indicator_color1     DodgerBlue
#property indicator_color2     SandyBrown
#property indicator_color3     SandyBrown
#property indicator_width1     2
#property indicator_width2     2
#property indicator_width3     2
#property indicator_minimum    -05
#property indicator_maximum    105
#property indicator_levelcolor DimGray

//
//
//
//
//

extern ENUM_TIMEFRAMES TimeFrame = PERIOD_CURRENT;
extern int    RsiPeriod         = 15;
extern int    EmaPeriod         =  4;
extern int    MaMethod          =  1; 
extern int    MaPeriod          = 10; 
extern ENUM_APPLIED_PRICE MaPrice = PRICE_CLOSE;
extern double LevelUp           = 88;
extern double LevelDown         = 12;
extern bool   alertsOn          = false;
extern bool   alertsOnSlope     = true;
extern bool   alertsOnZoneEnter = true;
extern bool   alertsOnZoneExit  = true;
extern bool   alertsOnCurrent   = true;
extern bool   alertsMessage     = true;
extern bool   alertsSound       = false;
extern bool   alertsEmail       = false;
extern bool   Interpolate       = true;
extern string MaMethods         = "";
extern string __0               = "SMA";
extern string __1               = "EMA";
extern string __2               = "Double smoothed EMA";
extern string __3               = "Double EMA (DEMA)";
extern string __4               = "Triple EMA (TEMA)";
extern string __5               = "Smoothed MA";
extern string __6               = "Linear weighted MA";
extern string __7               = "Parabolic weighted MA";
extern string __8               = "Alexander MA";
extern string __9               = "Volume weghted MA";
extern string __10              = "Hull MA";
extern string __11              = "Triangular MA";
extern string __12              = "Sine weighted MA";
extern string __13              = "Linear regression";
extern string __14              = "IE/2";
extern string __15              = "NonLag MA";
extern string __16              = "Zero lag EMA";
extern string __17              = "Leader EMA";
extern string __18              = "Super smoother";
extern string __19              = "Smoother";


//
//
//
//
//

double  inv[];
double  invDa[];
double  invDb[];
double  rwm[];
double  ema1[];
double  ema2[];
double  trend[];
double  slope[];

//
//
//
//
//

string indicatorFileName;
bool   returnBars;

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
//
//
//
//
//

#define noCheckValue 9999991
int init()
{
   IndicatorBuffers(8);
      SetIndexBuffer(0,inv);
      SetIndexBuffer(1,invDa);
      SetIndexBuffer(2,invDb);
      SetIndexBuffer(3,rwm);
      SetIndexBuffer(4,ema1);
      SetIndexBuffer(5,ema2);
      SetIndexBuffer(6,trend);
      SetIndexBuffer(7,slope);
      
      //
      //
      //
      //
      //
      
         indicatorFileName = WindowExpertName();

               if (LevelDown>LevelUp)
               {
                  double temp = LevelUp;
                                LevelUp = LevelDown;
                                          LevelDown = temp;
               }
               if (LevelUp   < 0 || LevelUp   > 100) LevelUp   =  noCheckValue; SetLevelValue(0,LevelUp);
               if (LevelDown < 0 || LevelDown > 100) LevelDown = -noCheckValue; SetLevelValue(1,LevelDown);
            
         returnBars = TimeFrame==-99;
         TimeFrame  = MathMax(TimeFrame,_Period);
         
      //
      //
      //
      //
      //
               
   getAverageName(MaMethod);               
   IndicatorShortName(timeFrameToString(TimeFrame)+" Smoothed Rsi IFT of "+getAverageName(MaMethod)+" ("+RsiPeriod+","+EmaPeriod+","+MaPeriod+")");
   return(0);
}

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
//
//
//
//
//

int start()
{
   int counted_bars=IndicatorCounted();
   int i,k,n,limit;

   if(counted_bars<0) return(-1);
   if(counted_bars>0) counted_bars--;
           limit=MathMin(Bars-counted_bars,Bars-1);
           if (returnBars) { inv[0] = limit+1; return(0); }

   //
   //
   //
   //
   //
   
   if (TimeFrame == Period())
   {
      if (slope[limit]==-1) ClearPoint(limit,invDa,invDb);
      for(i=limit; i>=0; i--)
      {
         double price = iMA(NULL,0,1,0,MODE_SMA,MaPrice,i);
            rwm[i] = iCustomMa(MaMethod,price,MaPeriod,i,0);   
      }

      //
      //
      //
      //
      //
      
      double alpha  = 2.0 / (1+EmaPeriod);
      for(i=limit; i>=0; i--)
      {
         double rsi      = 0.1 * (iRSIOnArray(rwm,0,RsiPeriod,i)-50.0);
                ema1[i]  = ema1[i+1]+alpha*(rsi    -ema1[i+1]);
                ema2[i]  = ema2[i+1]+alpha*(ema1[i]-ema2[i+1]);
         double zlema    = 2.0*ema1[i]-ema2[i];
                inv[i]   = ((MathExp(2.0*zlema)-1.0)/(MathExp(2.0*zlema)+1.0)+1.0)*50.0;
                invDa[i] = EMPTY_VALUE;
                invDb[i] = EMPTY_VALUE;
                trend[i] = trend[i+1];
                slope[i] = slope[i+1];
                     if (inv[i]>LevelUp  )                   trend[i] =  1;
                     if (inv[i]<LevelDown)                   trend[i] = -1;
                     if (inv[i]<LevelUp && inv[i]>LevelDown) trend[i] =  0;
                     if (inv[i]>inv[i+1])                    slope[i] = 1;
                     if (inv[i]<inv[i+1])                    slope[i] =-1;
                     if (slope[i] == -1) PlotPoint(i,invDa,invDb,inv);
      }
      manageAlerts();
      return(0);
   }

   //
   //
   //
   //
   //

   limit = MathMax(limit,MathMin(Bars-1,iCustom(NULL,TimeFrame,indicatorFileName,-99,0,0)*TimeFrame/Period()));
   if (slope[limit]==-1) ClearPoint(limit,invDa,invDb);
   for(i=limit; i>=0; i--)
   {
      int y = iBarShift(NULL,TimeFrame,Time[i]);
         inv[i]   = iCustom(NULL,TimeFrame,indicatorFileName,PERIOD_CURRENT,RsiPeriod,EmaPeriod,MaMethod,MaPeriod,MaPrice,LevelUp,LevelDown,alertsOn,alertsOnSlope,alertsOnZoneEnter,alertsOnZoneExit,alertsOnCurrent,alertsMessage,alertsSound,alertsEmail,0,y);
         trend[i] = iCustom(NULL,TimeFrame,indicatorFileName,PERIOD_CURRENT,RsiPeriod,EmaPeriod,MaMethod,MaPeriod,MaPrice,LevelUp,LevelDown,alertsOn,alertsOnSlope,alertsOnZoneEnter,alertsOnZoneExit,alertsOnCurrent,alertsMessage,alertsSound,alertsEmail,6,y);
         slope[i] = iCustom(NULL,TimeFrame,indicatorFileName,PERIOD_CURRENT,RsiPeriod,EmaPeriod,MaMethod,MaPeriod,MaPrice,LevelUp,LevelDown,alertsOn,alertsOnSlope,alertsOnZoneEnter,alertsOnZoneExit,alertsOnCurrent,alertsMessage,alertsSound,alertsEmail,7,y);
         invDa[i] = EMPTY_VALUE;
         invDb[i] = EMPTY_VALUE;
            
         //
         //
         //
         //
         //
      
         if (!Interpolate || y==iBarShift(NULL,TimeFrame,Time[i-1])) continue;

         //
         //
         //
         //
         //

         datetime time = iTime(NULL,TimeFrame,y);
            for(n = 1; i+n < Bars && Time[i+n] >= time; n++) continue;	
            for(k = 1; k < n; k++)
               inv[i+k] = inv[i] + (inv[i+n]-inv[i])*k/n;
   }
   for (i=limit;i>=0;i--) if (slope[i]==-1) PlotPoint(i,invDa,invDb,inv);
   return(0);
}

//+-------------------------------------------------------------------
//|                                                                  
//+-------------------------------------------------------------------
//
//
//
//
//

void manageAlerts()
{
   if (alertsOn)
   {
      if (alertsOnCurrent)
           int whichBar = 0;
      else     whichBar = 1; 
      if (trend[whichBar] != trend[whichBar+1])
      {
         static string   mess1 = "";
         static datetime time1 = 0;        
         if (alertsOnZoneEnter && trend[whichBar]   == 1)                        doAlert(mess1,time1,whichBar,DoubleToStr(LevelUp  ,2)+" level crossed up");
         if (alertsOnZoneEnter && trend[whichBar]   ==-1)                        doAlert(mess1,time1,whichBar,DoubleToStr(LevelDown,2)+" level crossed down");
         if (alertsOnZoneExit  && trend[whichBar+1] == 1 && trend[whichBar]!=-1) doAlert(mess1,time1,whichBar,DoubleToStr(LevelUp  ,2)+" level crossed down");
         if (alertsOnZoneExit  && trend[whichBar+1] ==-1 && trend[whichBar]!= 1) doAlert(mess1,time1,whichBar,DoubleToStr(LevelDown,2)+" level crossed up");
      }         
      if (alertsOnSlope && slope[whichBar] != slope[whichBar+1])
      {
         static string   mess2 = "";
         static datetime time2 = 0;        
         if (slope[whichBar] ==  1) doAlert(mess2,time2,whichBar,"slope changed to up");
         if (slope[whichBar] == -1) doAlert(mess2,time2,whichBar,"slope changed to down");
      }         
   }
}

//
//
//
//
//

void doAlert(string& previousAlert, datetime& previousTime, 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)," ",timeFrameToString(Period())," Smoothed Rsi IFT ",doWhat);
          if (alertsMessage) Alert(message);
          if (alertsEmail)   SendMail(StringConcatenate(Symbol()," Smoothed Rsi ift "),message);
          if (alertsSound)   PlaySound("alert2.wav");
   }
}

//+-------------------------------------------------------------------
//|                                                                  
//+-------------------------------------------------------------------
//
//
//
//
//

string sTfTable[] = {"M1","M5","M10","M15","M30","H1","H4","D1","W1","MN"};
int    iTfTable[] = {1,5,10,15,30,60,240,1440,10080,43200};

string timeFrameToString(int tf)
{
   for (int i=ArraySize(iTfTable)-1; i>=0; i--) 
         if (tf==iTfTable[i]) return(sTfTable[i]);
                              return("");
}

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
//
//
//
//
//

void ClearPoint(int i,double& first[],double& second[])
{
   if ((second[i]  != EMPTY_VALUE) && (second[i+1] != EMPTY_VALUE))
        second[i+1] = EMPTY_VALUE;
   else
      if ((first[i] != EMPTY_VALUE) && (first[i+1] != EMPTY_VALUE) && (first[i+2] == EMPTY_VALUE))
          first[i+1] = EMPTY_VALUE;
}

//
//
//
//
//

void PlotPoint(int i,double& first[],double& second[],double& from[])
{
   if (first[i+1] == EMPTY_VALUE)
   {
      if (first[i+2] == EMPTY_VALUE) 
      {
          first[i]    = from[i];
          first[i+1]  = from[i+1];
          second[i]   = EMPTY_VALUE;
      }
      else
      {
          second[i]   = from[i];
          second[i+1] = from[i+1];
          first[i]    = EMPTY_VALUE;
      }
   }
   else
   {
         first[i]   = from[i];
         second[i]  = EMPTY_VALUE;
      }
}

//------------------------------------------------------------------
//                                                                  
//------------------------------------------------------------------
//
//
//
//
//

string methodNames[] = {"SMA","EMA","Double smoothed EMA","Double EMA","Triple 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 6
#define _maWorkBufferx2 12
#define _maWorkBufferx3 18
#define _maWorkBufferx5 30

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,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,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,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 tslope  = (period*sumxy - sumx*sumy)/(sumx*sumx-period*sumxx);
         double average = sumy/period;
   return(((average+tslope)+(sumy+tslope*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+_price])/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[_maWorkBufferx1][3];
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+1) ArrayResize(nlmvalues,instanceNo+1);
                               nlmprices[r][instanceNo]=price;
   if (length<3 || r<3) return(nlmprices[r][instanceNo]);
   
   //
   //
   //
   //
   //
   
   if (nlmvalues[instanceNo][_length] != length  || ArraySize(nlmalphas)==0)
   {
      double Cycle = 4.0;
      double Coeff = 3.0*Pi;
      int    Phase = length-1;
      
         nlmvalues[instanceNo][_length] = length;
         nlmvalues[instanceNo][_len   ] = length*4 + Phase;  
         nlmvalues[instanceNo][_weight] = 0;

         if (ArrayRange(nlmalphas,0) < nlmvalues[instanceNo][_len]) ArrayResize(nlmalphas,nlmvalues[instanceNo][_len]);
         for (int k=0; k<nlmvalues[instanceNo][_len]; 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[instanceNo][_weight] += nlmalphas[k][instanceNo];
         }
   }
   
   //
   //
   //
   //
   //
   
   if (nlmvalues[instanceNo][_weight]>0)
   {
      double sum = 0;
           for (k=0; k < nlmvalues[instanceNo][_len]; k++) sum += nlmalphas[k][instanceNo]*nlmprices[r-k][instanceNo];
           return( sum / nlmvalues[instanceNo][_weight]);
   }
   else return(0);           
}