Detrended_Synthetic_Price_zoscillatoru

Author: © mladen, 2017
Price Data Components
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Detrended_Synthetic_Price_zoscillatoru
ÿþ//------------------------------------------------------------------

#property copyright "© mladen, 2017"

#property link      "mladenfx@gmail.com"

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

#property version   "1.00"

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

#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



//

//

//

//

//



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 enColorOn

{

   chg_onZero,   // Change color on zero cross

   chg_onOuter,  // Change color on levels cross

   chg_onOuter2, // Change color on opposite levels cross

   chg_onSlope   // Change color on slope change

};



input int       DspPeriod    = 14;          // DSP period

input enPrices  DspPrice     = pr_median;   // DSP price

input double    SignalPeriod = 9;           // Signal period

input enColorOn ColorOn      = chg_onOuter; // Change color on :



double  val[],valc[],levelu[],leveld[];



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

//

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

//

//

//

//

//



void OnInit()

{

   SetIndexBuffer(0,levelu,INDICATOR_DATA);

   SetIndexBuffer(1,leveld,INDICATOR_DATA);

   SetIndexBuffer(2,val   ,INDICATOR_DATA);

   SetIndexBuffer(3,valc  ,INDICATOR_COLOR_INDEX);

      IndicatorSetString(INDICATOR_SHORTNAME," (dsl) DSP oscillator  ("+(string)DspPeriod+","+(string)SignalPeriod+")");

}



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

//

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

//

//

//

//

//



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 alphas = 2.0/(1.0+SignalPeriod);

   double alpham = 2.0/(1.0+DspPeriod);

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

   {

      double price = getPrice(DspPrice,open,close,high,low,i,rates_total);

         val[i]    = iEma(price,alpham,i,rates_total,0)-iEma(price,alpham/2.0,i,rates_total,1);

         levelu[i] = (i>0) ? (val[i]>0) ? levelu[i-1]+alphas*(val[i]-levelu[i-1]) : levelu[i-1] : 0;

         leveld[i] = (i>0) ? (val[i]<0) ? leveld[i-1]+alphas*(val[i]-leveld[i-1]) : leveld[i-1] : 0;

          switch(ColorOn)

          {

            case chg_onOuter  : valc[i] = (val[i]>levelu[i]) ? 1 : (val[i]<leveld[i]) ? 2 : 0;                    break;

            case chg_onOuter2 : valc[i] = (val[i]>levelu[i]) ? 1 : (val[i]<leveld[i]) ? 2 : (i>0) ? valc[i-1]: 0; break;

            case chg_onZero   : valc[i] = (val[i]>0)         ? 1 : (val[i]<0)         ? 2 : 0;                    break;

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

          }

      }         

   return(i);

}



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

//                                                                  

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

//

//

//

//

//



double workEma[][2];

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

{

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



   workEma[r][instanceNo] = price;

   if (r>0)

          workEma[r][instanceNo] = workEma[r-1][instanceNo]+alpha*(price-workEma[r-1][instanceNo]);

   return(workEma[r][instanceNo]);

}



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

//

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

//

//

//

//

//

//



#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;

         

         //

         //

         //

         //

         //

         

         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;

         //

         //

         //

         //

         //

         

         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);        

         }

   }

   

   //

   //

   //

   //

   //

   

   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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