BB stops - smoothed WPR

Author: mladen
Price Data Components
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BB stops - smoothed WPR
ÿþ//------------------------------------------------------------------

#property copyright   "mladen"

#property link        "mladenfx@gmail.com"

#property description "BB stops - WPR"

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

#property indicator_separate_window

#property indicator_buffers 7

#property indicator_plots   6

#property indicator_type1   DRAW_LINE

#property indicator_color1  clrSilver

#property indicator_type2   DRAW_LINE

#property indicator_color2  clrGray

#property indicator_style2  STYLE_DOT

#property indicator_type3   DRAW_LINE

#property indicator_color3  clrGray

#property indicator_style3  STYLE_DOT

#property indicator_type4   DRAW_LINE

#property indicator_color4  clrDodgerBlue

#property indicator_width4  3

#property indicator_type5   DRAW_LINE

#property indicator_color5  clrSandyBrown

#property indicator_width5  3

#property indicator_type6   DRAW_COLOR_ARROW

#property indicator_color6  clrSilver,clrDodgerBlue,clrSandyBrown

#property indicator_width6  2



//

//---

//

enum enMaTypes

  {

   ma_sma,    // Simple moving average

   ma_ema,    // Exponential moving average

   ma_smma,   // Smoothed MA

   ma_lwma    // Linear weighted MA

  };

input int                WprPeriod       = 14;          // WPR period

input int                Smoothing       = 5;           // Smoothing period

input enMaTypes          SmoothingMethod = ma_sma;      // Smoothing method

input int                BbPeriod        = 20;          // Bollinger stops period

input int                DeviationPeriod = 20;          // Deviations period

input double             Deviation       = 1;           // Deviation

input double             Risk            = 1;           // Risk (%)

double wpr[],bba[],bbc[],bblu[],bbld[],bmax[],bmin[];

//+------------------------------------------------------------------+

//|                                                                  |

//+------------------------------------------------------------------+

struct _bbReturnStruct

  {

   double            upValue;

   double            downValue;

   int               trend;

   bool              trendChange;

  };

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

//

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

void OnInit()

  {

   SetIndexBuffer(0,wpr,INDICATOR_DATA);

   SetIndexBuffer(1,bmax,INDICATOR_DATA);

   SetIndexBuffer(2,bmin,INDICATOR_DATA);

   SetIndexBuffer(3,bblu,INDICATOR_DATA);

   SetIndexBuffer(4,bbld,INDICATOR_DATA);

   SetIndexBuffer(5,bba,INDICATOR_DATA);  PlotIndexSetInteger(5,PLOT_ARROW,159);

   SetIndexBuffer(6,bbc,INDICATOR_COLOR_INDEX);

   IndicatorSetString(INDICATOR_SHORTNAME,"BB stops - WPR ("+(string)WprPeriod+","+(string)Smoothing+","+(string)BbPeriod+","+(string)DeviationPeriod+")");

  }

//

//---

//

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 &tickVolume[],

                const long &volume[],

                const int &spread[])

  {



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

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

     {

      int _start=MathMax(i-WprPeriod+1,0);

      double _max = high[ArrayMaximum(high,_start,WprPeriod)];

      double _min = low[ArrayMinimum(low,_start,WprPeriod)];

      wpr[i] = iCustomMa(SmoothingMethod,(_max!=_min ? -(_max-close[i])*100/(_max-_min) : 0),Smoothing,i,rates_total);

      _bbReturnStruct _result = iBbStops(wpr[i],BbPeriod,Risk,DeviationPeriod,Deviation,i,rates_total);

            bmax[i] = _result.upValue;

            bmin[i] = _result.downValue;

            bblu[i] = EMPTY_VALUE;

            bbld[i] = EMPTY_VALUE;

               if(_result.trend ==  1) { bblu[i] = _result.upValue;   bbc[i] = 1; }

               if(_result.trend == -1) { bbld[i] = _result.downValue; bbc[i] = 2; }

            bba[i]  = (_result.trendChange) ? (_result.trend==1) ? bblu[i]: bbld[i]: EMPTY_VALUE;

     }

   return(i);

  }



//+------------------------------------------------------------------+

//| Custom functions                                                 |

//+------------------------------------------------------------------+

#define _maInstances 1

#define _maWorkBufferx1 1*_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);

     }

  }

//

//---

//

double workSma[][_maWorkBufferx1];

//

//---

//

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

  {

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



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

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

   return(avg/k);

  }

//

//---

//

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]);

  }

//

//---

//

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);

  }

//

//---

//

#define _bbStopsInstances     1

#define _bbStopsInstancesSize 6

double bbWork[][_bbStopsInstances*_bbStopsInstancesSize];

#define _bbPrice 0

#define _bbAmax  1

#define _bbAmin  2

#define _bbBmax  3

#define _bbBmin  4

#define _bbTrend 5

//

//---

//

_bbReturnStruct iBbStops(double price,int period,double risk,int deviationPeriod,double deviation, int i,int bars,int instanceNo=0)

  {

   if(ArrayRange(bbWork,0)!=bars) ArrayResize(bbWork,bars); instanceNo*=_bbStopsInstancesSize;



   //

   //---

   //



   bbWork[i][instanceNo+_bbPrice]=price;

      double oldMean   = price;

      double newMean   = price;

      double squares   = 0;

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

      {

         newMean  = (bbWork[i-k][instanceNo+_bbPrice]-oldMean)/(k+1)+oldMean;

         squares += (bbWork[i-k][instanceNo+_bbPrice]-oldMean)*(bbWork[i-k][instanceNo+_bbPrice]-newMean);

         oldMean  = newMean;

      }

      double dev   = MathSqrt(squares/deviationPeriod);

      double ma    = price;

      for(int k=1; k<period && (i-k)>=0; k++) ma+=bbWork[i-k][instanceNo+_bbPrice]; ma/=period;

      bbWork[i][instanceNo+_bbAmax] = ma+dev*deviation;

      bbWork[i][instanceNo+_bbAmin] = ma-dev*deviation;

      bbWork[i][instanceNo+_bbBmax] = bbWork[i][instanceNo+_bbAmax]+0.5*(risk-1)*(bbWork[i][instanceNo+_bbAmax]-bbWork[i][instanceNo+_bbAmin]);

      bbWork[i][instanceNo+_bbBmin]= bbWork[i][instanceNo+_bbAmin]-0.5*(risk-1)*(bbWork[i][instanceNo+_bbAmax]-bbWork[i][instanceNo+_bbAmin]);

      bbWork[i][instanceNo+_bbTrend] =(i>0) ?(price>bbWork[i-1][instanceNo+_bbAmax]) ? 1 :(price<bbWork[i-1][instanceNo+_bbAmin]) ? -1 : bbWork[i-1][instanceNo+_bbTrend] : 0;

      if(i>0)

      {

         if(bbWork[i][instanceNo+_bbTrend]==-1 && bbWork[i][instanceNo+_bbAmax]>bbWork[i-1][instanceNo+_bbAmax]) bbWork[i][instanceNo+_bbAmax] = bbWork[i-1][instanceNo+_bbAmax];

         if(bbWork[i][instanceNo+_bbTrend]== 1 && bbWork[i][instanceNo+_bbAmin]<bbWork[i-1][instanceNo+_bbAmin]) bbWork[i][instanceNo+_bbAmin] = bbWork[i-1][instanceNo+_bbAmin];

         if(bbWork[i][instanceNo+_bbTrend]==-1 && bbWork[i][instanceNo+_bbBmax]>bbWork[i-1][instanceNo+_bbBmax]) bbWork[i][instanceNo+_bbBmax] = bbWork[i-1][instanceNo+_bbBmax];

         if(bbWork[i][instanceNo+_bbTrend]== 1 && bbWork[i][instanceNo+_bbBmin]<bbWork[i-1][instanceNo+_bbBmin]) bbWork[i][instanceNo+_bbBmin] = bbWork[i-1][instanceNo+_bbBmin];

        }

   _bbReturnStruct _result;

                   _result.upValue   = bbWork[i][instanceNo+_bbBmin];

                   _result.downValue = bbWork[i][instanceNo+_bbBmax];

                   _result.trend     = (int)bbWork[i][instanceNo+_bbTrend];

                   _result.trendChange=(i>0) ? (bbWork[i][instanceNo+_bbTrend]!=bbWork[i-1][instanceNo+_bbTrend]) : false;

   return(_result);

  }

//

//---

//

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

  {

   if(i>=0)

      switch(tprice)

        {

         case PRICE_CLOSE:     return(close[i]);

         case PRICE_OPEN:      return(open[i]);

         case PRICE_HIGH:      return(high[i]);

         case PRICE_LOW:       return(low[i]);

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

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

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

        }

   return(0);

  }

//+------------------------------------------------------------------+

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