Schaff trend cycle - tema

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

#property copyright   "Copyright 2017, mladen"

#property link        "mladenfx@gmail.com"

#property description "Schaff trend cycle - tema"

#property version     "1.00"

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

#property indicator_separate_window

#property indicator_buffers 6

#property indicator_plots   1

#property indicator_label1  "Schaff trend cycle - tema value"

#property indicator_type1   DRAW_COLOR_LINE

#property indicator_color1  clrSilver,clrLimeGreen,clrOrange

#property indicator_width1  2

//

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

//

enum enPrices

  {

   pr_close,      // Close

   pr_open,       // Open

   pr_high,       // High

   pr_low,        // Low

   pr_median,     // Median

   pr_typical,    // Typical

   pr_weighted,   // Weighted

   pr_average,    // Average (high+low+open+close)/4

   pr_medianb,    // Average median body (open+close)/2

   pr_tbiased,    // Trend biased price

   pr_tbiased2,   // Trend biased (extreme) price

   pr_haclose,    // Heiken ashi close

   pr_haopen ,    // Heiken ashi open

   pr_hahigh,     // Heiken ashi high

   pr_halow,      // Heiken ashi low

   pr_hamedian,   // Heiken ashi median

   pr_hatypical,  // Heiken ashi typical

   pr_haweighted, // Heiken ashi weighted

   pr_haaverage,  // Heiken ashi average

   pr_hamedianb,  // Heiken ashi median body

   pr_hatbiased,  // Heiken ashi trend biased price

   pr_hatbiased2  // Heiken ashi trend biased (extreme) price

  };

// input parameters

input int       SchaffPeriod = 32;       // Schaff period

input int       FastTema     = 23;       // Fast tema period

input int       SlowTema     = 50;       // Slow tema period

input double    SmoothPeriod = 3;        // Smoothing period

input enPrices  Price        = pr_close; // Price



double  val[],valc[],macd[],fastk1[],fastd1[],fastk2[];

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

//|                                                                  |

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

void OnInit()

  {

   SetIndexBuffer(0,val,INDICATOR_DATA);

   SetIndexBuffer(1,valc,INDICATOR_COLOR_INDEX);

   SetIndexBuffer(2,macd,INDICATOR_CALCULATIONS);

   SetIndexBuffer(3,fastk1,INDICATOR_CALCULATIONS);

   SetIndexBuffer(4,fastk2,INDICATOR_CALCULATIONS);

   SetIndexBuffer(5,fastd1,INDICATOR_CALCULATIONS);

   IndicatorSetString(INDICATOR_SHORTNAME,"Schaff trend cycle TEMA ("+(string)SchaffPeriod+","+(string)FastTema+","+(string)SlowTema+","+(string)SmoothPeriod+")");

  }

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

//|                                                                  |

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

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[])

  {

   if(Bars(_Symbol,_Period)<rates_total) return(-1);

//

//

//

   double alpha=2.0/(1.0+SmoothPeriod);

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

     {

      double price=getPrice(Price,open,close,high,low,i,rates_total);

      macd[i]=iTema(price,FastTema,i,rates_total,0)-iTema(price,SlowTema,i,rates_total,1);

      int    start    = MathMax(i-SchaffPeriod+1,0);

      double lowMacd  = macd[ArrayMinimum(macd,start,SchaffPeriod)];

      double highMacd = macd[ArrayMaximum(macd,start,SchaffPeriod)]-lowMacd;

      fastk1[i] = (highMacd > 0) ? 100*((macd[i]-lowMacd)/highMacd) : (i>0) ? fastk1[i-1] : 0;

      fastd1[i] = (i>0) ? fastd1[i-1]+alpha*(fastk1[i]-fastd1[i-1]) : fastk1[i];

      double lowStoch  = fastd1[ArrayMinimum(fastd1,start,SchaffPeriod)];

      double highStoch = fastd1[ArrayMaximum(fastd1,start,SchaffPeriod)]-lowStoch;

      fastk2[i] = (highStoch > 0) ? 100*((fastd1[i]-lowStoch)/highStoch) : (i>0) ? fastk2[i-1] : 0;

      val[i]    = (i>0) ?  val[i-1]+alpha*(fastk2[i]-val[i-1]) : fastk2[i];

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

     }

   return(i);

  }

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

// custom functions

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

//

//

//

double workTema[][6];

#define _tema1 0

#define _tema2 1

#define _tema3 2

//

double iTema(double price, double period, int r, int bars, int instanceNo=0)

{

   if (period<=1) return(price);

   if (ArrayRange(workTema,0)!= bars) ArrayResize(workTema,bars); instanceNo*=3;

   workTema[r][_tema1+instanceNo] = price;

   workTema[r][_tema2+instanceNo] = price;

   workTema[r][_tema3+instanceNo] = price;

   double alpha = 2.0 / (1.0+period);

   if (r>0)

   {

          workTema[r][_tema1+instanceNo] = workTema[r-1][_tema1+instanceNo]+alpha*(price                         -workTema[r-1][_tema1+instanceNo]);

          workTema[r][_tema2+instanceNo] = workTema[r-1][_tema2+instanceNo]+alpha*(workTema[r][_tema1+instanceNo]-workTema[r-1][_tema2+instanceNo]);

          workTema[r][_tema3+instanceNo] = workTema[r-1][_tema3+instanceNo]+alpha*(workTema[r][_tema2+instanceNo]-workTema[r-1][_tema3+instanceNo]); }

   return(workTema[r][_tema3+instanceNo]+3.0*(workTema[r][_tema1+instanceNo]-workTema[r][_tema2+instanceNo]));

}

//

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

//

#define _pricesInstances 1

#define _pricesSize      4

double workHa[][_pricesInstances*_pricesSize];

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

//|                                                                  |

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

double getPrice(int tprice,const double &open[],const double &close[],const double &high[],const double &low[],int i,int _bars,int instanceNo=0)

  {

   if(tprice>=pr_haclose)

     {

      if(ArrayRange(workHa,0)!=_bars) ArrayResize(workHa,_bars); instanceNo*=_pricesSize;

      double haOpen;

      if(i>0)

         haOpen=(workHa[i-1][instanceNo+2]+workHa[i-1][instanceNo+3])/2.0;

      else   haOpen  = (open[i]+close[i])/2;

      double haClose = (open[i] + high[i] + low[i] + close[i]) / 4.0;

      double haHigh  = MathMax(high[i], MathMax(haOpen,haClose));

      double haLow   = MathMin(low[i] , MathMin(haOpen,haClose));



      if(haOpen  <haClose) { workHa[i][instanceNo+0] = haLow;  workHa[i][instanceNo+1] = haHigh; }

      else                 { workHa[i][instanceNo+0] = haHigh; workHa[i][instanceNo+1] = haLow;  }

      workHa[i][instanceNo+2] = haOpen;

      workHa[i][instanceNo+3] = haClose;

      //

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

      //

      switch(tprice)

        {

         case pr_haclose:     return(haClose);

         case pr_haopen:      return(haOpen);

         case pr_hahigh:      return(haHigh);

         case pr_halow:       return(haLow);

         case pr_hamedian:    return((haHigh+haLow)/2.0);

         case pr_hamedianb:   return((haOpen+haClose)/2.0);

         case pr_hatypical:   return((haHigh+haLow+haClose)/3.0);

         case pr_haweighted:  return((haHigh+haLow+haClose+haClose)/4.0);

         case pr_haaverage:   return((haHigh+haLow+haClose+haOpen)/4.0);

         case pr_hatbiased:

            if(haClose>haOpen)

            return((haHigh+haClose)/2.0);

            else  return((haLow+haClose)/2.0);

         case pr_hatbiased2:

            if(haClose>haOpen)  return(haHigh);

            if(haClose<haOpen)  return(haLow);

            return(haClose);

        }

     }

//

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

//

   switch(tprice)

     {

      case pr_close:     return(close[i]);

      case pr_open:      return(open[i]);

      case pr_high:      return(high[i]);

      case pr_low:       return(low[i]);

      case pr_median:    return((high[i]+low[i])/2.0);

      case pr_medianb:   return((open[i]+close[i])/2.0);

      case pr_typical:   return((high[i]+low[i]+close[i])/3.0);

      case pr_weighted:  return((high[i]+low[i]+close[i]+close[i])/4.0);

      case pr_average:   return((high[i]+low[i]+close[i]+open[i])/4.0);

      case pr_tbiased:

         if(close[i]>open[i])

         return((high[i]+close[i])/2.0);

         else  return((low[i]+close[i])/2.0);

      case pr_tbiased2:

         if(close[i]>open[i]) return(high[i]);

         if(close[i]<open[i]) return(low[i]);

         return(close[i]);

     }

   return(0);

  }

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