ATR adaptive SMA

Author: © mladen, 2020
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ATR adaptive SMA
ÿþ//------------------------------------------------------------------

#property copyright   "© mladen, 2020"

#property link        "mladenfx@gmail.com"

#property version     "1.00"

#property description "ATR adaptive SMA"

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

#property indicator_chart_window

#property indicator_buffers 34

#property indicator_plots   2

#property indicator_label1  "SMA"

#property indicator_type1   DRAW_LINE

#property indicator_color1  clrDarkGray

#property indicator_width1  0

#property indicator_label2  "Adaptive SMA"

#property indicator_type2   DRAW_COLOR_LINE

#property indicator_color2  clrDarkGray,clrDeepPink,clrLimeGreen

#property indicator_width2  2



//

//

//



input int                inpMaPeriod = 25;          // SMA period

input ENUM_APPLIED_PRICE inpPrice    = PRICE_CLOSE; // Price

      enum enColorMode

      {

         col_onSlope, // Change color on slope change

         col_onCross, // Change color on two sma cross

      };

input enColorMode        inpColorMode = col_onCross; // Color change mode



//

//

//



double val[],valc[],sma[],atr[];



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

//

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

//

//

//



int OnInit()

{

   SetIndexBuffer(0,sma ,INDICATOR_DATA);

   SetIndexBuffer(1,val ,INDICATOR_DATA);

   SetIndexBuffer(2,valc,INDICATOR_COLOR_INDEX);

   SetIndexBuffer(3,atr ,INDICATOR_CALCULATIONS);



      //

      //

      //



   IndicatorSetString(INDICATOR_SHORTNAME,"ATR adaptive SMA ("+(string)inpMaPeriod+")");

   return (INIT_SUCCEEDED);

}

void OnDeinit(const int reason) { }



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

//

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

//

//

//



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[])

{

   int limit = prev_calculated-1; if (limit<0) limit = 0;

   

   //

   //

   //

   

      struct sWorkStruct

            {

               double price;

               double tr;

               double sumtr;

               double min;

               double max;

               double sum;

               double sumSma;

               int    period;

               int    prevBar;

                  sWorkStruct() : prevBar(-1), period(INT_MIN) {};

            };

      static sWorkStruct m_work[];

      static int         m_workSize = -1;

                     if (m_workSize<=rates_total) m_workSize = ArrayResize(m_work,rates_total+500,2000);



   //

   //---

   //

   

   for (int i=limit; i<rates_total && !_StopFlag; i++)

   {

      m_work[i].price = getPrice(inpPrice,open,high,low,close,i);

      m_work[i].tr    = (i>0) ? (high[i]>close[i-1] ? high[i] : close[i-1]) -(low[i]<close[i-1] ? low[i] : close[i-1]) : high[i]-low[i];

         if (i>inpMaPeriod)

               {

                  m_work[i].sumSma = m_work[i-1].sumSma + m_work[i].price - m_work[i-inpMaPeriod].price;

                  m_work[i].sumtr  = m_work[i-1].sumtr  + m_work[i].tr    - m_work[i-inpMaPeriod].tr;

               }                  

         else  { 

                  m_work[i].sumSma = m_work[i].price; for (int k=1; k<inpMaPeriod && i>=k; k++) m_work[i].sumSma += m_work[i-k].price;

                  m_work[i].sumtr  = m_work[i].tr;    for (int k=1; k<inpMaPeriod && i>=k; k++) m_work[i].sumtr  += m_work[i-k].tr;

               }            

               atr[i] = m_work[i].sumtr/(double)inpMaPeriod;

               sma[i] = NormalizeDouble(m_work[i].sumSma/(double)inpMaPeriod,_Digits);



      //

      //

      //

         

         if (m_work[i  ].prevBar!=i ||

             m_work[i+1].prevBar>i)

             {

                  if (inpMaPeriod>1)

                  {

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

                           m_work[i].max = atr[ArrayMaximum(atr,_start,inpMaPeriod-1)];            

                           m_work[i].min = atr[ArrayMinimum(atr,_start,inpMaPeriod-1)];            

                  }

                  else { m_work[i].max = -DBL_MAX; m_work[i].min = DBL_MAX; }

            }

             

         double _max   = m_work[i].max > atr[i] ? m_work[i].max : atr[i];            

         double _min   = m_work[i].min < atr[i] ? m_work[i].min : atr[i];            

         double _coeff = (_min!=_max) ? 1-(atr[i]-_min)/(_max-_min) : 0.5;

      

         int _period = int(inpMaPeriod*(_coeff+1.0)/2.0);

         if (m_work[i+1].period  != _period ||

             m_work[i  ].prevBar != i       ||

             m_work[i+1].prevBar >  i)

             {

                  m_work[i  ].prevBar = i;

                  m_work[i+1].prevBar = -1;

                  m_work[i+1].period  = _period;

                  m_work[i].sum       = 0; 

                     for (int k=1; k<_period && i>=k; k++) m_work[i].sum += m_work[i-k].price; 

             }            



         //

         //

         //

               

         val[i]  = (_period>0) ? NormalizeDouble((m_work[i].sum+m_work[i].price)/(double)_period,_Digits) : m_work[i].price;

         if (inpColorMode==col_onSlope)

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

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

   }

   return(rates_total);

}



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

//

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

//

//

//



double getPrice(int priceType, const double &open[], const double &high[], const double &low[], const double &close[], int i)

{

   switch(priceType)

      {

         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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