Deviation scaled MA (extended)

ÿþ//------------------------------------------------------------------

#property copyright   "© mladen, 2018"

#property link        "mladenfx@gmail.com"

#property version     "1.00"

#property description "Deviation scaled MA extended"

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

#property indicator_chart_window

#property indicator_buffers 2

#property indicator_plots   1

#property indicator_label1  "DSMA"

#property indicator_type1   DRAW_COLOR_LINE

#property indicator_color1  clrDarkGray,clrMediumSeaGreen,clrOrangeRed

#property indicator_width1  2



//

//--- input parameters

//



input int                inpPeriod = 25;          // MA period

input ENUM_APPLIED_PRICE inpPrice  = PRICE_CLOSE; // Price



//

//--- indicator buffers

//



double val[],valc[];



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

// Custom indicator initialization function                          

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



int OnInit()

{

   //--- indicator buffers mapping

         SetIndexBuffer(0,val,INDICATOR_DATA);

         SetIndexBuffer(1,valc,INDICATOR_COLOR_INDEX);

            iDsma.init(inpPeriod);

   //--- indicator short name assignment

   IndicatorSetString(INDICATOR_SHORTNAME,"Deviation scaled MA ("+(string)inpPeriod+")");

   return (INIT_SUCCEEDED);

}

void OnDeinit(const int reason)

{

}



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

// Custom indicator iteration function

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

//

//---

//



#define _setPrice(_priceType,_target,_index) \

   { \

   switch(_priceType) \

   { \

      case PRICE_CLOSE:    _target = close[_index];                                              break; \

      case PRICE_OPEN:     _target = open[_index];                                               break; \

      case PRICE_HIGH:     _target = high[_index];                                               break; \

      case PRICE_LOW:      _target = low[_index];                                                break; \

      case PRICE_MEDIAN:   _target = (high[_index]+low[_index])/2.0;                             break; \

      case PRICE_TYPICAL:  _target = (high[_index]+low[_index]+close[_index])/3.0;               break; \

      case PRICE_WEIGHTED: _target = (high[_index]+low[_index]+close[_index]+close[_index])/4.0; break; \

      default : _target = 0; \

   }}



//

//---

//



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++)

   {

      double _price; _setPrice(inpPrice,_price,i);

      val[i]  = iDsma.calculate(_price,i);

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

   }

   return(i);

}



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

// Custom function(s)

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

//

//---

//



class cDsma

{

   private :

         int    m_period;

         int    m_arraysize;

         double m_periodMultiplier;

         double m_sc1;

         double m_sc2;

         double m_sc3;

            struct sDsmaArray

            {

               double filter;

               double price;

               double dsm;

               double ssm;

               double mul;

               double sum;

            };

         sDsmaArray m_array[];

                     

   public : 

         cDsma() : m_period(INT_MIN) {}

        ~cDsma() {};

   

         //

         //

         //

         

         void init(int period)

         {

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

            m_periodMultiplier = 5.0 / (double)m_period;

            m_arraysize        = m_period+32;



               ArrayResize(m_array,m_arraysize);

               double a1 = MathExp(-1.414*M_PI_2/m_period);

                   m_sc2 = 2.0*a1*MathCos(1.414*M_PI/m_period);

                   m_sc3 = -a1*a1;

                   m_sc1 = 1.0 - m_sc2 - m_sc3;

         }

         

         double calculate(double price, int i)

         {

            int _indC = (i)%m_arraysize; m_array[_indC].price = price;

            

            //

            //---

            //

            

            if (i>1)

            {

               int _indP  = (i-1)%m_arraysize;

               int _indP2 = (i-2)%m_arraysize;

                     m_array[_indC].filter =  m_array[_indC].price-m_array[_indP2].price;

                     m_array[_indC].ssm    = m_sc1*(m_array[_indC].filter+m_array[_indP].filter)/2.0 + 

                                             m_sc2*m_array[_indP ].ssm                               + 

                                             m_sc3*m_array[_indP2].ssm; 

                    

                     m_array[_indC].mul = m_array[_indC].ssm*m_array[_indC].ssm;

                     

                     //

                     //---

                     //

                     

                     if  (i>m_period)

                            m_array[_indC].sum = m_array[_indP].sum+m_array[_indC].mul-m_array[(i-m_period)%m_arraysize].mul;

                     else { m_array[_indC].sum = m_array[_indC].mul; for (int k=1; k<m_period && i>=k; k++) m_array[_indC].sum += m_array[_indC-k].mul; }



                     double  rms        = m_array[_indC].sum ? MathSqrt(m_array[_indC].sum / m_period) : 1;

                     double _scaledFilt = m_array[_indC].ssm / rms;

                     double _alpha      = (_scaledFilt>0 ? _scaledFilt : -_scaledFilt) * m_periodMultiplier;

         

                   m_array[_indC].dsm = m_array[_indP].dsm+_alpha*(price-m_array[_indP].dsm);

            }

            else { m_array[_indC].dsm = price; m_array[_indC].ssm = m_array[_indC].mul = m_array[_indC].filter = 0; }

            return(m_array[_indC].dsm);

         }

};

cDsma iDsma;

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