Author: © mladen, 2020
0 Views
0 Downloads
0 Favorites
TrendFlex
ÿþ//------------------------------------------------------------------

#property copyright   "© mladen, 2020"

#property link        "mladenfx@gmail.com"

#property version     "1.00"

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

#property indicator_separate_window

#property indicator_buffers 2

#property indicator_plots   1

#property indicator_label1  "TrendFlex"

#property indicator_type1   DRAW_COLOR_LINE

#property indicator_color1  clrDodgerBlue,clrCoral

#property indicator_width1  2



//

//---

//



input int inpFastPeriod = 20; // Fast trend-flex period

input int inpSlowPeriod = 50; // Slow trend-flex period

double  val[],valc[];



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

//

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

//

//

//



int OnInit()

{

   SetIndexBuffer(0,val   ,INDICATOR_DATA);

   SetIndexBuffer(1,valc  ,INDICATOR_COLOR_INDEX);



      iTfFast.OnInit(inpFastPeriod);

      iTfSlow.OnInit(inpSlowPeriod);

      

   //

   //

   //

   

   IndicatorSetString(INDICATOR_SHORTNAME,"TrendFlex ("+(string)inpFastPeriod+","+(string)inpSlowPeriod+")");

   return(INIT_SUCCEEDED);

}



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

//

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

//

//

//

//



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 = MathMax(prev_calculated-1,0);

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

   {

      double _price = (i>0 ? (close[i]+close[i-1])/2 : close[i]);

         val[i]  = iTfFast.OnCalculate(_price,i,rates_total)-iTfSlow.OnCalculate(_price,i,rates_total);

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

   }

   return(rates_total);

}



 

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

//

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

//

//

//



class CTrendFlex

{

   private :

         double m_c1;

         double m_c2;

         double m_c3;

         struct sWorkStruct

         {

            double value;

            double ssm;

            double sum;

            double ms;

         };

         sWorkStruct m_array[];

         int         m_arraySize;

         int         m_period;

         

   public :

      CTrendFlex() : m_c1(1), m_c2(1), m_c3(1), m_arraySize(-1) {  }

     ~CTrendFlex()                                              {  }

     

      //

      //---

      //

     

      void OnInit(int period)

      {

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



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

         double b1 = 2.0*a1*MathCos(1.414*M_PI/m_period);

            m_c2 = b1;

            m_c3 = -a1*a1;

            m_c1 = 1.0 - m_c2 - m_c3;

      }

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

      {

         if (m_arraySize<bars) m_arraySize=ArrayResize(m_array,bars+500);



         //

         //

         //

         

         m_array[i].value = value;

            if (i>1)

                    m_array[i].ssm = m_c1*(m_array[i].value+m_array[i-1].value)/2.0 + m_c2*m_array[i-1].ssm + m_c3*m_array[i-2].ssm;

            else    m_array[i].ssm = value;

            if (i>m_period)

                  m_array[i].sum = m_array[i-1].sum + m_array[i].ssm - m_array[i-m_period].ssm;

            else

               {                     

                  m_array[i].sum = m_array[i].ssm;

                     for (int k=1; k<m_period && (i-k)>=0; k++) m_array[i].sum += m_array[i-k].ssm;

               }  

               

               //

               //

               //

               

               double sum   = m_period*m_array[i].ssm-m_array[i].sum;

                      sum  /= m_period;



               m_array[i].ms = (i>0) ? 0.04 * sum*sum+0.96*m_array[i-1].ms : 0;

       return (m_array[i].ms!=0 ? sum/MathSqrt(m_array[i].ms) : 0);

      }   

};

CTrendFlex iTfSlow,iTfFast;

Comments