dsl_-_rsx

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

#property copyright "© mladen, 2017"

#property link      "mladenfx@gmail.com"

#property link      "www.forex-station.com"

#property version   "1.00"

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#property indicator_separate_window

#property indicator_buffers 5

#property indicator_plots   3

#property indicator_label1  "up level"

#property indicator_type1   DRAW_LINE

#property indicator_color1  clrLimeGreen

#property indicator_style1  STYLE_DOT

#property indicator_label2  "down level"

#property indicator_type2   DRAW_LINE

#property indicator_color2  clrOrange

#property indicator_style2  STYLE_DOT

#property indicator_label3  "value"

#property indicator_type3   DRAW_COLOR_LINE

#property indicator_color3  clrSilver,clrLimeGreen,clrOrange

#property indicator_width3  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

};



input int       RsxPeriod    = 32;       // Rsx period

input enPrices  RsxPrice     = pr_close; // Price

input double    SignalPeriod = 9;        // Signal period



double  val[],valc[],levelUp[],levelDn[];



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void OnInit()

{

   SetIndexBuffer(0,levelUp,INDICATOR_DATA);

   SetIndexBuffer(1,levelDn,INDICATOR_DATA);

   SetIndexBuffer(2,val    ,INDICATOR_DATA);

   SetIndexBuffer(3,valc   ,INDICATOR_COLOR_INDEX);

      for (int i=0; i<2; i++) PlotIndexSetInteger(i,PLOT_SHOW_DATA,false);

      IndicatorSetString(INDICATOR_SHORTNAME," (dsl) RSX ("+(string)RsxPeriod+","+(string)SignalPeriod+")");

}



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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);



      double alpha = 2.0/(1.0+SignalPeriod);

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

      {

         val[i]     = iRsi(getPrice(RsxPrice,open,close,high,low,i,rates_total),RsxPeriod,i,rates_total);

         levelUp[i] = (i>0) ? (val[i]>50) ? levelUp[i-1]+alpha*(val[i]-levelUp[i-1]) : levelUp[i-1] : 50;

         levelDn[i] = (i>0) ? (val[i]<50) ? levelDn[i-1]+alpha*(val[i]-levelDn[i-1]) : levelDn[i-1] : 50;

         valc[i]    = (val[i]>levelUp[i]) ? 1 : (val[i]<levelDn[i]) ? 2 : (i>0) ? (val[i]==val[i-1]) ? valc[i-1]: 0 : 0;

      }         

   return(i);

}



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#define _rsiInstances      1

#define _rsiInstancesSize 13

double workRsi[][_rsiInstances*_rsiInstancesSize];

#define _price  0

#define _change 1

#define _changa 2



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

{

   if (ArrayRange(workRsi,0)!=bars) ArrayResize(workRsi,bars); int z = instanceNo*_rsiInstancesSize; 

   

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

         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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            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,DBL_MIN)+1.0)*50.0,100.00),0.00)); 

}



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#define _length  0

#define _len     1

#define _weight  2



double  nlmvalues[ ][3];

double  nlmprices[ ][1];

double  nlmalphas[ ][1];



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double iNonLagMa(double price, double length, int r, int bars, 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<5 || r<3) return(nlmprices[r][instanceNo]);

   

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   if (nlmvalues[instanceNo][_length] != length)

   {

      double Cycle = 4.0;

      double Coeff = 3.0*M_PI;

      int    Phase = (int)(length-1);

      

         nlmvalues[instanceNo][_length] =       length;

         nlmvalues[instanceNo][_len   ] = (int)(length*4) + Phase;  

         nlmvalues[instanceNo][_weight] = 0;



         if (ArrayRange(nlmalphas,0) < (int)nlmvalues[instanceNo][_len]) ArrayResize(nlmalphas,(int)nlmvalues[instanceNo][_len]);

         for (int k=0; k<(int)nlmvalues[instanceNo][_len]; k++)

         {

            double t;

            if (k<=Phase-1) 

                  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(M_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];

         }

   }

   

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   if (nlmvalues[instanceNo][_weight]>0)

   {

      double sum = 0;

           for (int k=0; k < (int)nlmvalues[instanceNo][_len] && (r-k)>=0; k++) sum += nlmalphas[k][instanceNo]*nlmprices[r-k][instanceNo];

           return( sum / nlmvalues[instanceNo][_weight]);

   }

   else return(0);           

}



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#define _pricesInstances 1

#define _pricesSize      4

double workHa[][_pricesInstances*_pricesSize];

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*=_pricesSize;

         

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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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string getIndicatorName()

{

   string path = MQL5InfoString(MQL5_PROGRAM_PATH);

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

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

      return(name);

}



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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=0;i<ArraySize(_tfsPer);i++) if(period==_tfsPer[i]) break;

   return(_tfsStr[i]);   

}



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bool timeFrameCheck(ENUM_TIMEFRAMES _timeFrame,const datetime& time[])

{

   static bool warned=false;

   if (time[0]<SeriesInfoInteger(_Symbol,_timeFrame,SERIES_FIRSTDATE))

   {

      datetime startTime,testTime[]; 

         if (SeriesInfoInteger(_Symbol,PERIOD_M1,SERIES_TERMINAL_FIRSTDATE,startTime))

         if (startTime>0)                       { CopyTime(_Symbol,_timeFrame,time[0],1,testTime); SeriesInfoInteger(_Symbol,_timeFrame,SERIES_FIRSTDATE,startTime); }

         if (startTime<=0 || startTime>time[0]) { Comment(MQL5InfoString(MQL5_PROGRAM_NAME)+"\nMissing data for "+timeFrameToString(_timeFrame)+" time frame\nRe-trying on next tick"); warned=true; return(false); }

   }

   if (warned) { Comment(""); warned=false; }

   return(true);

}