Author: © mladen, 2019
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ema_v2
ÿþ//+------------------------------------------------------------------

#property copyright   "© mladen, 2019"

#property link        "mladenfx@gmail.com"

#property description "Exponential Moving Average"

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

#property indicator_chart_window

#property indicator_buffers 2

#property indicator_plots   1

#property indicator_label1  "EMA"

#property indicator_type1   DRAW_COLOR_LINE

#property indicator_color1  clrDeepSkyBlue,clrOrange

#property indicator_style1  STYLE_SOLID

#property indicator_width1  2



//

//

//



input int                inpPeriod   =  14;         // Period

input ENUM_APPLIED_PRICE inpPrice    = PRICE_CLOSE; // Price



double val[],valc[];



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

//

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

//

//

//



int OnInit()

{

   SetIndexBuffer(0,val,INDICATOR_DATA);

   SetIndexBuffer(1,valc,INDICATOR_COLOR_INDEX);

         _ema.init(inpPeriod);

   IndicatorSetString(INDICATOR_SHORTNAME,"Exponential Moving Average ("+(string)inpPeriod+")");

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

   {

      val[i]  = _ema.calculate(getPrice(inpPrice,open,high,low,close,i),i,rates_total);

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

   }

   return (i);

}



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

//

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

//

//

//



class CEma

{

   private :

         double m_period;

         double m_alpha;

         double m_array[];

         int    m_arraySize;

   public :

      CEma() : m_period(1), m_alpha(1), m_arraySize(-1) { return; }

     ~CEma()                                            { return; }

     

     //

     //---

     //

     

     void init(int period)

      {

            m_period = (period>1) ? period : 1;

            m_alpha  = 2.0/(1.0+m_period);

      }

      double calculate(double value, int i, int bars)

      {

        if (m_arraySize<bars)

          { m_arraySize=ArrayResize(m_array,bars+500); if (m_arraySize<bars) return(0); }



            //

            //

            //



            if (i>0)

                    m_array[i] = m_array[i-1]+m_alpha*(value-m_array[i-1]); 

            else    m_array[i] = value;

            return (m_array[i]);

         }   

};

CEma _ema;



//

//---

//



template <typename T> 

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

{

   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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