Rsiwomag

ÿþ//------------------------------------------------------------------

#property copyright "© mladen, 2016, MetaQuotes Software Corp."

#property link      "www.forex-tsd.com, www.mql5.com"

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#property indicator_separate_window

#property indicator_buffers 8

#property indicator_plots   5



#property indicator_label1  "rsi OB/OS zone"

#property indicator_type1   DRAW_FILLING

#property indicator_color1  C'209,243,209',C'255,230,183'

#property indicator_label2  "rsi up level"

#property indicator_type2   DRAW_LINE

#property indicator_color2  clrLimeGreen

#property indicator_style2  STYLE_DOT

#property indicator_label3  "rsi middle level"

#property indicator_type3   DRAW_LINE

#property indicator_color3  clrSilver

#property indicator_style3  STYLE_DOT

#property indicator_label4  "rsi down level"

#property indicator_type4   DRAW_LINE

#property indicator_color4  clrOrange

#property indicator_style4  STYLE_DOT

#property indicator_label5  "rsi"

#property indicator_type5   DRAW_COLOR_LINE

#property indicator_color5  clrSilver,clrLimeGreen,clrOrange

#property indicator_width5  2

  



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enum enPrices

{

   pr_close,      // Close

   pr_open,       // Open

   pr_high,       // High

   pr_low,        // Low

   pr_median,     // Median

   pr_typical,    // Typical

   pr_weighted,   // Weighted

   pr_average,    // Average (high+low+open+close)/4

   pr_medianb,    // Average median body (open+close)/2

   pr_tbiased,    // Trend biased price

   pr_tbiased2,   // Trend biased (extreme) price

   pr_haclose,    // Heiken ashi close

   pr_haopen ,    // Heiken ashi open

   pr_hahigh,     // Heiken ashi high

   pr_halow,      // Heiken ashi low

   pr_hamedian,   // Heiken ashi median

   pr_hatypical,  // Heiken ashi typical

   pr_haweighted, // Heiken ashi weighted

   pr_haaverage,  // Heiken ashi average

   pr_hamedianb,  // Heiken ashi median body

   pr_hatbiased,  // Heiken ashi trend biased price

   pr_hatbiased2  // Heiken ashi trend biased (extreme) price

};

enum enRsiTypes

{

   rsi_cut,  // Cuttler's RSI

   rsi_ehl,  // Ehlers' smoothed RSI

   rsi_har,  // Harris' RSI

   rsi_rap,  // Rapid RSI

   rsi_rsi,  // RSI 

   rsi_rsx,  // RSX

   rsi_slo   // Slow RSI

};

enum enColorOn

{

   cc_onSlope,   // Change color on slope change

   cc_onMiddle,  // Change color on middle line cross

   cc_onLevels   // Change color on outer levels cross

};

enum enMaTypes

{

   ma_sma,    // Simple moving average

   ma_ema,    // Exponential moving average

   ma_smma,   // Smoothed MA

   ma_lwma    // Linear weighted MA

};



input ENUM_TIMEFRAMES TimeFrame       = PERIOD_CURRENT; // Time frame

input int             RsiPeriod       = 14;             // Rsi period

input enPrices        RsiPrice        = pr_close;       // Price to use

input enRsiTypes      RsiMethod       = rsi_rsi;        // Rsi method 

input int             PriceSmoothing  = 0;              // Price smoothing (<= 1 for no smoothing)

input enMaTypes       PriceSmoothingM = ma_ema;         // Price smoothing method

input enColorOn       ColorOn         = cc_onLevels;    // Color change :

input int             MinMaxPeriod    = 50;             // Floating levels period (<= 1 for fixed levels)

input double          LevelUp         = 80.0;           // Up level %

input double          LevelDown       = 20.0;           // Down level %

input bool            alertsOn        = false;          // Turn alerts on?

input bool            alertsOnCurrent = true;           // Alert on current bar?

input bool            alertsMessage   = true;           // Display messageas on alerts?

input bool            alertsSound     = false;          // Play sound on alerts?

input bool            alertsEmail     = false;          // Send email on alerts?

input bool            alertsNotify    = false;          // Send push notification on alerts?

input bool            Interpolate     = true;           // Interpolate mtf data ?





double rsi[],rsic[],fill1[],fill2[],levelUp[],levelMi[],levelDn[],count[];

ENUM_TIMEFRAMES timeFrame;



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int OnInit()

{

   SetIndexBuffer(0,fill1  ,INDICATOR_DATA);

   SetIndexBuffer(1,fill2  ,INDICATOR_DATA);

   SetIndexBuffer(2,levelUp,INDICATOR_DATA);

   SetIndexBuffer(3,levelMi,INDICATOR_DATA);

   SetIndexBuffer(4,levelDn,INDICATOR_DATA);

   SetIndexBuffer(5,rsi    ,INDICATOR_DATA);

   SetIndexBuffer(6,rsic   ,INDICATOR_COLOR_INDEX);

   SetIndexBuffer(7,count  ,INDICATOR_CALCULATIONS);

      for (int i=0; i<4; i++) PlotIndexSetInteger(i,PLOT_SHOW_DATA,false);

         timeFrame = MathMax(_Period,TimeFrame);

   IndicatorSetString(INDICATOR_SHORTNAME,timeFrameToString(timeFrame)+" "+getRsiName(RsiMethod)+"(oma) ("+(string)RsiPeriod+","+(string)PriceSmoothing+","+(string)MinMaxPeriod+")");

   return(0);

}



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int OnCalculate(const int rates_total,

                const int prev_calculated,

                const datetime& time[],

                const double& open[],

                const double& high[],

                const double& low[],

                const double& close[],

                const long& tick_volume[],

                const long& volume[],

                const int& spread[])

{

   if (Bars(_Symbol,_Period)<rates_total) return(-1);

   

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      if (timeFrame!=_Period)

      {

         double result[]; datetime currTime[],nextTime[]; 

         static int indHandle =-1;

                if (indHandle==-1) indHandle = iCustom(_Symbol,timeFrame,getIndicatorName(),PERIOD_CURRENT,RsiPeriod,RsiPrice,RsiMethod,PriceSmoothing,PriceSmoothingM,ColorOn,MinMaxPeriod,LevelUp,LevelDown,alertsOn,alertsOnCurrent,alertsMessage,alertsSound,alertsEmail,alertsNotify);

                if (indHandle==-1)                          return(0);

                if (CopyBuffer(indHandle,7,0,1,result)==-1) return(0); 

             

                //

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                #define _processed EMPTY_VALUE-1

                int i,limit = rates_total-(int)MathMin(result[0]*PeriodSeconds(timeFrame)/PeriodSeconds(_Period),rates_total); 

                for (limit=MathMax(limit,0); limit>0 && !IsStopped(); limit--) if (count[limit]==_processed) break;

                for (i=MathMin(limit,MathMax(prev_calculated-1,0)); i<rates_total && !IsStopped(); i++    )

                {

                   if (CopyBuffer(indHandle,0,time[i],1,result)==-1) break; fill1[i]   = result[0];

                   if (CopyBuffer(indHandle,1,time[i],1,result)==-1) break; fill2[i]   = result[0];

                   if (CopyBuffer(indHandle,2,time[i],1,result)==-1) break; levelUp[i] = result[0];

                   if (CopyBuffer(indHandle,3,time[i],1,result)==-1) break; levelMi[i] = result[0];

                   if (CopyBuffer(indHandle,4,time[i],1,result)==-1) break; levelDn[i] = result[0];

                   if (CopyBuffer(indHandle,5,time[i],1,result)==-1) break; rsi[i]     = result[0];

                   if (CopyBuffer(indHandle,6,time[i],1,result)==-1) break; rsic[i]    = result[0];

                                                                            count[i]   = _processed;

                   

                   //

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                   #define _interpolate(buff,i,k,n) buff[i-k] = buff[i]+(buff[i-n]-buff[i])*k/n

                   if (!Interpolate) continue; CopyTime(_Symbol,TimeFrame,time[i  ],1,currTime); 

                      if (i<(rates_total-1)) { CopyTime(_Symbol,TimeFrame,time[i+1],1,nextTime); if (currTime[0]==nextTime[0]) continue; }

                      int n,k;

                         for(n=1; (i-n)> 0 && time[i-n] >= currTime[0]; n++) continue;	

                         for(k=1; (i-k)>=0 && k<n; k++)

                         {

                            _interpolate(fill1  ,i,k,n);

                            _interpolate(fill2  ,i,k,n);

                            _interpolate(levelUp,i,k,n);

                            _interpolate(levelDn,i,k,n);

                            _interpolate(levelMi,i,k,n);

                            _interpolate(rsi    ,i,k,n);

                         }                            

                }     

                if (i!=rates_total) return(0); return(rates_total);

      }



   //

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   for (int i=(int)MathMax(prev_calculated-1,0); i<rates_total; i++)

   {

      rsi[i] = iRsi(RsiMethod,iCustomMa(PriceSmoothingM,getPrice(RsiPrice,open,close,high,low,i,rates_total),PriceSmoothing,i,rates_total),RsiPeriod,i,rates_total);

            if (MinMaxPeriod<=1)

            {                     

               levelUp[i] = LevelUp;

               levelDn[i] = LevelDown;

               levelMi[i] = (levelUp[i]+levelDn[i])/2;

            }

            else

            {               

               double min = rsi[i];

               double max = rsi[i];

               for (int k=1; k<MinMaxPeriod && i-k>=0; k++)

               {

                  min = MathMin(rsi[i-k],min);

                  max = MathMax(rsi[i-k],max);

               }

               double range = max-min;

               levelUp[i] = min+LevelUp  *range/100.0;

               levelDn[i] = min+LevelDown*range/100.0;

               levelMi[i] = min+0.5*range;

            }               

            switch(ColorOn)

            {

               case cc_onLevels: rsic[i] = (rsi[i]>levelUp[i])  ? 1 : (rsi[i]<levelDn[i])  ? 2 : 0; break;

               case cc_onMiddle: rsic[i] = (rsi[i]>levelMi[i])  ? 1 : (rsi[i]<levelMi[i])  ? 2 : 0; break;

               default :         rsic[i] = (i>0) ? (rsi[i]>rsi[i-1]) ? 1 : (rsi[i]<rsi[i-1]) ? 2 : 0 : 0;

            }                  

            fill1[i] = rsi[i];

            fill2[i] = (rsi[i]>levelUp[i]) ? levelUp[i] : (rsi[i]<levelDn[i]) ? levelDn[i] : rsi[i];

   }

   count[rates_total-1] = MathMax(rates_total-prev_calculated+1,1);

   manageAlerts(time,rsic,rates_total);

   return(rates_total);

}







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void manageAlerts(const datetime& time[], double& ttrend[], int bars)

{

   if (!alertsOn) return;

      int whichBar = bars-1; if (!alertsOnCurrent) whichBar = bars-2; datetime time1 = time[whichBar];

      if (ttrend[whichBar] != ttrend[whichBar-1])

      {

         if (ttrend[whichBar] == 1) doAlert(time1,"up");

         if (ttrend[whichBar] == 2) doAlert(time1,"down");

      }         

}   



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void doAlert(datetime forTime, string doWhat)

{

   static string   previousAlert="nothing";

   static datetime previousTime;

   

   if (previousAlert != doWhat || previousTime != forTime) 

   {

      previousAlert  = doWhat;

      previousTime   = forTime;



      string message = timeFrameToString(_Period)+" "+_Symbol+" at "+TimeToString(TimeLocal(),TIME_SECONDS)+getRsiName(RsiMethod)+" state changed to "+doWhat;

         if (alertsMessage) Alert(message);

         if (alertsEmail)   SendMail(_Symbol+" "+getRsiName(RsiMethod),message);

         if (alertsNotify)  SendNotification(message);

         if (alertsSound)   PlaySound("alert2.wav");

   }

}



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string getRsiName(int method)

{

   switch (method)

   {

      case rsi_rsi: return("RSI");

      case rsi_rsx: return("RSX");

      case rsi_cut: return("Cuttler's RSI");

      case rsi_har: return("Haris' RSI");

      case rsi_rap: return("Rapid RSI");

      case rsi_slo: return("Slow RSI");

      case rsi_ehl: return("Ehlers' smoothed RSI");

      default:      return("");

   }      

}



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#define rsiInstances 1

double workRsi[][rsiInstances*13];

#define _price  0

#define _prices 3

#define _change 1

#define _changa 2

#define _rsival 1

#define _rsval  1

#define _smallRsiValue 0.0000000000000001



double iRsi(int rsiMode, double price, double period, int r, int bars, int instanceNo=0)

{

   if (ArrayRange(workRsi,0)!=bars) ArrayResize(workRsi,bars);

      int z = instanceNo*13; 

   

   //

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   workRsi[r][z+_price] = price;

   switch (rsiMode)

   {

      case rsi_rsi:

         {

         double alpha = 1.0/MathMax(period,1); 

         if (r<period)

            {

               int k; double sum = 0; for (k=0; k<period && (r-k-1)>=0; k++) sum += MathAbs(workRsi[r-k][z+_price]-workRsi[r-k-1][z+_price]);

                  workRsi[r][z+_change] = (workRsi[r][z+_price]-workRsi[0][z+_price])/MathMax(k,1);

                  workRsi[r][z+_changa] =                                         sum/MathMax(k,1);

            }

         else

            {

               double change = workRsi[r][z+_price]-workRsi[r-1][z+_price];

                               workRsi[r][z+_change] = workRsi[r-1][z+_change] + alpha*(        change  - workRsi[r-1][z+_change]);

                               workRsi[r][z+_changa] = workRsi[r-1][z+_changa] + alpha*(MathAbs(change) - workRsi[r-1][z+_changa]);

            }

            return(50.0*(workRsi[r][z+_change]/MathMax(workRsi[r][z+_changa],_smallRsiValue)+1));

         }

         

      //

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      case rsi_slo :

         {         

            double up = 0, dn = 0;

            for(int k=0; k<(int)period && (r-k-1)>=0; k++)

            {

               double diff = workRsi[r-k][z+_price]- workRsi[r-k-1][z+_price];

               if(diff>0)

                     up += diff;

               else  dn -= diff;

            }

            if (r<1)

                  workRsi[r][z+_rsival] = 50;

            else               

                   workRsi[r][z+_rsival] = workRsi[r-1][z+_rsival]+(1/MathMax(period,1))*(100*up/MathMax(up+dn,_smallRsiValue)-workRsi[r-1][z+_rsival]);

            return(workRsi[r][z+_rsival]);      

         }

      

      //

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      case rsi_rap :

         {

            double up = 0, dn = 0;

            for(int k=0; k<(int)period && (r-k-1)>=0; k++)

            {

               double diff = workRsi[r-k][z+_price]- workRsi[r-k-1][z+_price];

               if(diff>0)

                     up += diff;

               else  dn -= diff;

            }

            return(100 * up /MathMax(up + dn,_smallRsiValue));      

         }            

         

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      case rsi_ehl :

         {

            double up = 0, dn = 0;

            workRsi[r][z+_prices] = (r>2) ? (workRsi[r][z+_price]+2.*workRsi[r-1][z+_price]+workRsi[r-2][z+_price])/4.0 : price;

            for(int k=0; k<(int)period && (r-k-1)>=0; k++)

            {

               double diff = workRsi[r-k][z+_prices]- workRsi[r-k-1][z+_prices];

               if(diff>0)

                     up += diff;

               else  dn -= diff;

            }

            return(50*(up-dn)/MathMax(up+dn,_smallRsiValue)+50);      

         }            



      //

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      case rsi_cut :

         {

            double sump = 0;

            double sumn = 0;

            for (int k=0; k<(int)period && (r-k-1)>=0; k++)

            {

               double diff = workRsi[r-k][z+_price]-workRsi[r-k-1][z+_price];

                  if (diff > 0) 

                        sump += diff;

                  else  sumn -= diff;

            }

                   workRsi[r][instanceNo+_rsival] = 100.0-100.0/(1.0+sump/MathMax(sumn,_smallRsiValue));

            return(workRsi[r][instanceNo+_rsival]);

         }            



      //

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      case rsi_har :

         {

            double avgUp=0,avgDn=0,up=0,dn=0;

            for(int k=0; k<(int)period && (r-k-1)>=0; k++)

            {

               double diff = workRsi[r-k][instanceNo+_price]- workRsi[r-k-1][instanceNo+_price];

               if(diff>0)

                     { avgUp += diff; up++; }

               else  { avgDn -= diff; dn++; }

            }

            if (up!=0) avgUp /= up;

            if (dn!=0) avgDn /= dn;

                          workRsi[r][instanceNo+_rsival] = 100-100/(1.0+(avgUp/MathMax(avgDn,_smallRsiValue)));

                   return(workRsi[r][instanceNo+_rsival]);

         }               



      //

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      case rsi_rsx :  

         {   

            double Kg = (3.0)/(2.0+period), Hg = 1.0-Kg;

            if (r<period) { for (int k=1; k<13; k++) workRsi[r][k+z] = 0; return(50); }  



            //

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            //

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            //

      

            double mom = workRsi[r][_price+z]-workRsi[r-1][_price+z];

            double moa = MathAbs(mom);

            for (int k=0; k<3; k++)

            {

               int kk = k*2;

               workRsi[r][z+kk+1] = Kg*mom                + Hg*workRsi[r-1][z+kk+1];

               workRsi[r][z+kk+2] = Kg*workRsi[r][z+kk+1] + Hg*workRsi[r-1][z+kk+2]; mom = 1.5*workRsi[r][z+kk+1] - 0.5 * workRsi[r][z+kk+2];

               workRsi[r][z+kk+7] = Kg*moa                + Hg*workRsi[r-1][z+kk+7];

               workRsi[r][z+kk+8] = Kg*workRsi[r][z+kk+7] + Hg*workRsi[r-1][z+kk+8]; moa = 1.5*workRsi[r][z+kk+7] - 0.5 * workRsi[r][z+kk+8];

            }

            return(MathMax(MathMin((mom/MathMax(moa,_smallRsiValue)+1.0)*50.0,100.00),0.00)); 

         }            

   } 

   return(0);

}





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#define priceInstances 1

double workHa[][priceInstances*4];

double getPrice(int tprice, const double& open[], const double& close[], const double& high[], const double& low[], int i,int _bars, int instanceNo=0)

{

  if (tprice>=pr_haclose)

   {

      if (ArrayRange(workHa,0)!= _bars) ArrayResize(workHa,_bars); instanceNo*=4;

         

         //

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         double haOpen;

         if (i>0)

                haOpen  = (workHa[i-1][instanceNo+2] + workHa[i-1][instanceNo+3])/2.0;

         else   haOpen  = (open[i]+close[i])/2;

         double haClose = (open[i] + high[i] + low[i] + close[i]) / 4.0;

         double haHigh  = MathMax(high[i], MathMax(haOpen,haClose));

         double haLow   = MathMin(low[i] , MathMin(haOpen,haClose));



         if(haOpen  <haClose) { workHa[i][instanceNo+0] = haLow;  workHa[i][instanceNo+1] = haHigh; } 

         else                 { workHa[i][instanceNo+0] = haHigh; workHa[i][instanceNo+1] = haLow;  } 

                                workHa[i][instanceNo+2] = haOpen;

                                workHa[i][instanceNo+3] = haClose;

         //

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         //

         

         switch (tprice)

         {

            case pr_haclose:     return(haClose);

            case pr_haopen:      return(haOpen);

            case pr_hahigh:      return(haHigh);

            case pr_halow:       return(haLow);

            case pr_hamedian:    return((haHigh+haLow)/2.0);

            case pr_hamedianb:   return((haOpen+haClose)/2.0);

            case pr_hatypical:   return((haHigh+haLow+haClose)/3.0);

            case pr_haweighted:  return((haHigh+haLow+haClose+haClose)/4.0);

            case pr_haaverage:   return((haHigh+haLow+haClose+haOpen)/4.0);

            case pr_hatbiased:

               if (haClose>haOpen)

                     return((haHigh+haClose)/2.0);

               else  return((haLow+haClose)/2.0);        

            case pr_hatbiased2:

               if (haClose>haOpen)  return(haHigh);

               if (haClose<haOpen)  return(haLow);

                                    return(haClose);        

         }

   }

   

   //

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   //

   

   switch (tprice)

   {

      case pr_close:     return(close[i]);

      case pr_open:      return(open[i]);

      case pr_high:      return(high[i]);

      case pr_low:       return(low[i]);

      case pr_median:    return((high[i]+low[i])/2.0);

      case pr_medianb:   return((open[i]+close[i])/2.0);

      case pr_typical:   return((high[i]+low[i]+close[i])/3.0);

      case pr_weighted:  return((high[i]+low[i]+close[i]+close[i])/4.0);

      case pr_average:   return((high[i]+low[i]+close[i]+open[i])/4.0);

      case pr_tbiased:   

               if (close[i]>open[i])

                     return((high[i]+close[i])/2.0);

               else  return((low[i]+close[i])/2.0);        

      case pr_tbiased2:   

               if (close[i]>open[i]) return(high[i]);

               if (close[i]<open[i]) return(low[i]);

                                     return(close[i]);        

   }

   return(0);

}



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#define _maInstances 4

#define _maWorkBufferx1 1*_maInstances

#define _maWorkBufferx2 2*_maInstances



double iCustomMa(int mode, double price, double length, int r, int bars, int instanceNo=0)

{

   switch (mode)

   {

      case ma_sma   : return(iSma(price,(int)length,r,bars,instanceNo));

      case ma_ema   : return(iEma(price,length,r,bars,instanceNo));

      case ma_smma  : return(iSmma(price,(int)length,r,bars,instanceNo));

      case ma_lwma  : return(iLwma(price,(int)length,r,bars,instanceNo));

      default       : return(price);

   }

}



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double workSma[][_maWorkBufferx2];

double iSma(double price, int period, int r, int _bars, int instanceNo=0)

{

   if (ArrayRange(workSma,0)!= _bars) ArrayResize(workSma,_bars); instanceNo *= 2; int k;



   workSma[r][instanceNo+0] = price;

   workSma[r][instanceNo+1] = price; for(k=1; k<period && (r-k)>=0; k++) workSma[r][instanceNo+1] += workSma[r-k][instanceNo+0];  

   workSma[r][instanceNo+1] /= 1.0*k;

   return(workSma[r][instanceNo+1]);

}



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double workEma[][_maWorkBufferx1];

double iEma(double price, double period, int r, int _bars, int instanceNo=0)

{

   if (ArrayRange(workEma,0)!= _bars) ArrayResize(workEma,_bars);



   workEma[r][instanceNo] = price;

   if (r>0 && period>1)

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

   return(workEma[r][instanceNo]);

}



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//



double workSmma[][_maWorkBufferx1];

double iSmma(double price, double period, int r, int _bars, int instanceNo=0)

{

   if (ArrayRange(workSmma,0)!= _bars) ArrayResize(workSmma,_bars);



   workSmma[r][instanceNo] = price;

   if (r>1 && period>1)

          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 _bars, int instanceNo=0)

{

   if (ArrayRange(workLwma,0)!= _bars) ArrayResize(workLwma,_bars);

   

   workLwma[r][instanceNo] = price; if (period<=1) return(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);

}



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

//

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

//

//

//

//

//



string getIndicatorName()

{

   string path = MQL5InfoString(MQL5_PROGRAM_PATH);

   string data = TerminalInfoString(TERMINAL_DATA_PATH)+"\\MQL5\\Indicators\\";

   string name = StringSubstr(path,StringLen(data));

      return(name);

}



//

//

//

//

//



int    _tfsPer[]={PERIOD_M1,PERIOD_M2,PERIOD_M3,PERIOD_M4,PERIOD_M5,PERIOD_M6,PERIOD_M10,PERIOD_M12,PERIOD_M15,PERIOD_M20,PERIOD_M30,PERIOD_H1,PERIOD_H2,PERIOD_H3,PERIOD_H4,PERIOD_H6,PERIOD_H8,PERIOD_H12,PERIOD_D1,PERIOD_W1,PERIOD_MN1};

string _tfsStr[]={"1 minute","2 minutes","3 minutes","4 minutes","5 minutes","6 minutes","10 minutes","12 minutes","15 minutes","20 minutes","30 minutes","1 hour","2 hours","3 hours","4 hours","6 hours","8 hours","12 hours","daily","weekly","monthly"};

string timeFrameToString(int period)

{

   if (period==PERIOD_CURRENT) 

       period = _Period;   

         int i; for(i=ArraySize(_tfsPer)-1;i>=0;i--) if(period==_tfsPer[i]) break;

   return(_tfsStr[i]);   

}