Author: © mladen, 2022
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SmoothStep
ÿþ//---------------------------------------------------------------------------------------------------------------------

#property copyright   "© mladen, 2022"

#property link        "mladenfx@gmail.com"

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

#property indicator_separate_window

#property indicator_buffers 2

#property indicator_plots   1

#property indicator_label1  "SmoothStep"

#property indicator_type1   DRAW_COLOR_LINE

#property indicator_color1  clrDarkGray,clrDodgerBlue,clrCoral

#property indicator_width1  2

#property indicator_level1  0.2

#property indicator_level2  0.8

#property strict



//

//

//



input int             inpPeriod  = 32;        // Period

   enum enPrices

         {

            pr_close,      // Close

            pr_open,       // Open

            pr_high,       // High

            pr_low,        // Low

            pr_median,     // Median

            pr_typical,    // Typical

            pr_weighted,   // Weighted

            pr_lowhigh,    // Low/High/Close

         };

input enPrices         inpPrice   = pr_close; // Price         



//

//

//



double val[],valc[];

struct sGlobalStruct

{

   int period;

};

sGlobalStruct global;



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

//                                                                  

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

//

//

//



int OnInit()

{

   SetIndexBuffer(0,val ,INDICATOR_DATA);

   SetIndexBuffer(1,valc,INDICATOR_COLOR_INDEX);

   

      //

      //

      //



      global.period  = MathMax(inpPeriod,1);

   IndicatorSetString(INDICATOR_SHORTNAME,StringFormat("Smooth step (%i)",global.period));

   return (INIT_SUCCEEDED);

}

void OnDeinit(const int reason) { return;}



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

//

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

//

//

//



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>0) ? prev_calculated-1 : 0;

      

   //

   //

   //



         static double m_lows[];  

         static int    m_lowsSize  = -1; 

                   if (m_lowsSize <rates_total) m_lowsSize = ArrayResize(m_lows ,rates_total+500,2000);

         static double m_highs[]; 

         static int    m_highsSize = -1; 

                   if (m_highsSize<rates_total) m_highsSize = ArrayResize(m_highs,rates_total+500,2000);

         struct sWorkStruct   

            {

                  int    prevBar;

                  double prevmin;

                  double prevmax;

            };

         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; i++)

         {

            double _price  = close[i];

            double _priceh = close[i];

            double _pricel = close[i];

            

            //

            //

            //

            

               switch (inpPrice)

                  {

                     case pr_close    : _price  = _priceh = _pricel = close[i]; break;

                     case pr_open     : _price  = _priceh = _pricel = open[i];  break;

                     case pr_high     : _price  = _priceh = _pricel = high[i];  break;

                     case pr_low      : _price  = _priceh = _pricel = low[i];   break;

                     case pr_median   : _price  = _priceh = _pricel = (high[i]+low[i])/2.0; break;

                     case pr_typical  : _price  = _priceh = _pricel = (high[i]+low[i]+close[i])/3.0; break;

                     case pr_weighted : _price  = _priceh = _pricel = (high[i]+low[i]+close[i]*2.0)/4.0; ; break;

                     case pr_lowhigh  : _price  = close[i]; 

                                        _priceh = high[i]; 

                                        _pricel = low[i]; 

                                        break;

                  }

                  m_lows[i]  = _pricel;      

                  m_highs[i] = _priceh;      



                  //

                  //

                  //

      

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

                     {

                        m_work[i  ].prevBar = i;

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

      

                        if (i>0 && global.period>1)

                              {

                                 int _minMaxPeriod = global.period-1; 

                                 int _start        = i-global.period+1; if(_start<0) { _start = 0; _minMaxPeriod = i+1; }

                                          m_work[i].prevmin = m_lows [ArrayMinimum(m_lows ,_start,_minMaxPeriod)];

                                          m_work[i].prevmax = m_highs[ArrayMaximum(m_highs,_start,_minMaxPeriod)];

                              }

                        else

                              {

                                          m_work[i].prevmin = m_lows[i];

                                          m_work[i].prevmax = m_highs[i];

                              }

                     }

         

                  double min = (m_work[i].prevmin < _pricel) ? m_work[i].prevmin : _pricel;

                  double max = (m_work[i].prevmax > _priceh) ? m_work[i].prevmax : _priceh;

                  double raw = (max!=min) ? (_price - min)/(max- min) : 0;

            //

            //

            //

            

            val[i]  = raw * raw * (3.0 - 2.0 * raw);

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

         }

   

   //

   //

   //

   

   return (rates_total);

}

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