RSI(oma) (smoother)

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

#property copyright   "© mladen, 2019"

#property link        "mladenfx@gmail.com"

#property description "RSI of smoother average"

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

#property indicator_separate_window

#property indicator_buffers 3

#property indicator_plots   2

#property indicator_label1  "RSI(oma) of smoother shadow"

#property indicator_type1   DRAW_LINE

#property indicator_color1  clrDimGray

#property indicator_width1  2

#property indicator_label2  "RSI(oma) of smoother"

#property indicator_type2   DRAW_COLOR_LINE

#property indicator_color2  clrDarkGray,clrMediumSeaGreen,clrOrangeRed

#property indicator_width2  2



//

//

//



input int                inpRsiPeriod  = 14;          // RSI period

input int                inpMaPeriod   = 32;          // Smoother period

input ENUM_APPLIED_PRICE inpPrice      = PRICE_CLOSE; // Price

input int                inpShadow     = 7;           // "Shadow" width



//

//---

//



double val[],valc[],vals[];



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

// Custom indicator initialization function

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

//

//

//



int OnInit()

{

   //

   //--- indicator buffers mapping

   //

         SetIndexBuffer(0,vals,INDICATOR_DATA);

         SetIndexBuffer(1,val ,INDICATOR_DATA);

         SetIndexBuffer(2,valc,INDICATOR_COLOR_INDEX);

            PlotIndexSetInteger(0,PLOT_LINE_WIDTH,inpShadow);

            iRsi.init(inpRsiPeriod);

            iSmoother.init(inpMaPeriod);

   //

   //--- indicator short name assignment

   //

   IndicatorSetString(INDICATOR_SHORTNAME,"RSI (of smoother "+(string)inpMaPeriod+") ("+(string)inpRsiPeriod+")");

   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]  = vals[i] = iRsi.calculate(iSmoother.calculate(_price,i,rates_total),i);

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

   }

   return(i);

}



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

// Custom functions

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

//

//---

//



class cRsi

{

   private :

      int    m_period;

      int    m_arraySize;

      double m_alpha;

      struct sRsiArray

      {

         double price;

         double change1;

         double changa1;

         double change;

         double changa;

      };

      sRsiArray m_work[];

   public :

      cRsi() : m_period(1), m_alpha(1), m_arraySize(33) { ArrayResize(m_work,33); return; }

     ~cRsi()                                            { ArrayFree(m_work);      return; }

     

      //

      //---

      //

      

      void init(int period)

      {

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

         m_arraySize = m_period+32;

         m_alpha     = 1.0/MathSqrt(m_period);

            ArrayResize(m_work,m_arraySize);

      }

      

      double calculate(double price, int i)

      {

         int _indC = (i)%m_arraySize; m_work[_indC].price=price;

         

         //

         //---

         //

         

         if(i>m_period)

         {

            int _indP = (_indC-1); if (_indP<0) _indP += m_arraySize;

               double change = m_work[_indC].price-m_work[_indP].price;

               double changa = change; if (change<0) changa = -change;

                      m_work[_indC].change1 =  m_work[_indP].change1 + m_alpha*(change                - m_work[_indP].change1);

                      m_work[_indC].change  =  m_work[_indP].change  + m_alpha*(m_work[_indC].change1 - m_work[_indP].change );

                      m_work[_indC].changa1 =  m_work[_indP].changa1 + m_alpha*(changa                - m_work[_indP].changa1);

                      m_work[_indC].changa  =  m_work[_indP].changa  + m_alpha*(m_work[_indC].changa1 - m_work[_indP].changa );

         }

         else

         {

            m_work[_indC].changa = 0;

               for(int k=0; i>k; k++) 

               m_work[_indC].changa += m_work[_indC-k].price>m_work[_indC-k-1].price ? m_work[_indC-k].price-m_work[_indC-k-1].price : m_work[_indC-k-1].price-m_work[_indC-k].price; 

               m_work[_indC].changa /=                                       (i+1.0); m_work[_indC].changa1 = m_work[_indC].changa;

               m_work[_indC].change  = (m_work[_indC].price-m_work[0].price)/(i+1.0); m_work[_indC].change1 = m_work[_indC].change;

         }

         if (m_work[_indC].changa!=0)

               return(50.0*(m_work[_indC].change/m_work[_indC].changa+1.0));

         else  return(0);   

      }

};

cRsi iRsi;



//

//---

//



class CSmoother

{

   private :

      double m_period;

      double m_alpha;

      double m_beta;

      int    m_arraySize;

      struct CSmootherStruct

      {

         double l0;

         double l1;

         double l2;

         double l3;

         double l4;

      };

      CSmootherStruct m_array[];

   public :

      CSmoother() : m_arraySize(-1), m_alpha(1), m_beta(1) {}

     ~CSmoother() {}

   

      //

      //

      //

      

      bool init(double period)

      {

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

         m_beta   = 0.45 * (m_period-1.0)/(0.45 * (m_period-1)+2.0);

         m_alpha  = m_beta*m_beta*m_beta;

            return(true);

      }

      

      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].l0 = (1.0-m_alpha)*value + m_alpha*m_array[i-1].l0;

            m_array[i].l1 = (value-m_array[i].l0)*(1-m_beta) + m_beta*m_array[i-1].l1;

            m_array[i].l2 =  m_array[i].l0 + m_array[i].l1;

            m_array[i].l3 = (m_array[i].l2 - m_array[i-1].l4)*(1.0-m_alpha)*(1.0-m_alpha) + m_alpha*m_alpha*m_array[i-1].l3;

            m_array[i].l4 =  m_array[i-1].l4 + m_array[i].l3;

         }                    

         else { m_array[i].l0 = m_array[i].l1 = m_array[i].l4 = value; m_array[i].l2 = m_array[i].l3 = 0; }

         return(m_array[i].l4);

      }

};

CSmoother iSmoother;

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