Stochastic extended

Author: mladen
Price Data Components
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Stochastic extended
ÿþ//+------------------------------------------------------------------

#property copyright   "mladen"

#property link        "mladenfx@gmail.com"

#property link        "https://www.mql5.com"

#property description "Extended stochastic"

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

#property indicator_separate_window

#property indicator_buffers 3

#property indicator_plots   2

#property indicator_label1  "Stochastic"

#property indicator_type1   DRAW_COLOR_LINE

#property indicator_color1  clrDarkGray,clrDeepSkyBlue,clrLightSalmon

#property indicator_width1  2

#property indicator_label2  "Signal"

#property indicator_type2   DRAW_LINE

#property indicator_color2  clrDarkGray

#property indicator_width2  1

//--- input parameters

enum enMaTypes

  {

   ma_sma,    // Simple moving average

   ma_ema,    // Exponential moving average

   ma_smma,   // Smoothed MA

   ma_lwma    // Linear weighted MA

  };

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

enum enStochPrice

  {

   sto_htl, // High/low

   sto_ctc  // Close/close

  };



input int          inpStoPeriod       = 32;      // Stochastic period

input int          inpStoSlowing      = 9;       // Stochastic slowing period

input enMaTypes    inpStoMaType       = ma_sma;  // Stochastic average type      

input int          inpSigPeriod       = 3;       // Stochastic signal period

input enMaTypes    inpSigMaType       = ma_sma;  // Signal average type      

input enStochPrice inpStoPrice        = sto_htl; // Price :

//--- buffers declarations

double val[],valc[],signal[];

string _avgNames[]={"SMA","EMA","SMMA","LWMA"};

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

//| Custom indicator initialization function                         |

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

int OnInit()

  {

//--- indicator buffers mapping

   SetIndexBuffer(0,val,INDICATOR_DATA);

   SetIndexBuffer(1,valc,INDICATOR_COLOR_INDEX);

   SetIndexBuffer(2,signal,INDICATOR_DATA);

//---

   IndicatorSetString(INDICATOR_SHORTNAME,"Stochastic ("+_avgNames[inpStoMaType]+")("+(string)inpStoPeriod+","+(string)inpStoSlowing+","+(string)inpSigPeriod+")");

//---

   return (INIT_SUCCEEDED);

  }

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

//| Custom indicator de-initialization function                      |

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

void OnDeinit(const int reason)

  {

  }

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

//| Custom indicator iteration function                              |

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

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(prev_calculated);



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

     {

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

      double _lo     = (inpStoPrice==sto_htl) ? low[ ArrayMinimum(low ,_start,inpStoPeriod)] : close[ArrayMinimum(close,_start,inpStoPeriod)];

      double _hi     = (inpStoPrice==sto_htl) ? high[ArrayMaximum(high,_start,inpStoPeriod)] : close[ArrayMaximum(close,_start,inpStoPeriod)];

      double sumlow  = iCustomMa(inpStoMaType,close[i]-_lo,inpStoSlowing,i,rates_total,0);

      double sumhigh = iCustomMa(inpStoMaType,_hi     -_lo,inpStoSlowing,i,rates_total,1);



      //

      //

      //



      val[i]    = (sumhigh!=sumlow) ? 100*sumlow/sumhigh : 100;

      signal[i] = iCustomMa(inpSigMaType,val[i],inpSigPeriod,i,rates_total,2);

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

     }

   return (i);

  }

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

//| Custom functions                                                 |

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

#define _maInstances 3

#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);



   workSma[r][instanceNo]=price;

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

   return(avg/(double)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);

  }

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

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