//------------------------------------------------------------------
#property  copyright "mladen"
#property  link      "www.forex-station.com"
//------------------------------------------------------------------
#property  indicator_chart_window
#property  indicator_buffers 2
#property  indicator_color1  clrGray
#property  indicator_color2  clrDeepSkyBlue
#property  indicator_width2  2
#property  indicator_style1  STYLE_DOT
#property  strict

//
//
//
//
//

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
   pr_habclose,   // Heiken ashi (better formula) close
   pr_habopen ,   // Heiken ashi (better formula) open
   pr_habhigh,    // Heiken ashi (better formula) high
   pr_hablow,     // Heiken ashi (better formula) low
   pr_habmedian,  // Heiken ashi (better formula) median
   pr_habtypical, // Heiken ashi (better formula) typical
   pr_habweighted,// Heiken ashi (better formula) weighted
   pr_habaverage, // Heiken ashi (better formula) average
   pr_habmedianb, // Heiken ashi (better formula) median body
   pr_habtbiased, // Heiken ashi (better formula) trend biased price
   pr_habtbiased2 // Heiken ashi (better formula) trend biased (extreme) price
};

extern int       MaPeriod   = 14;       // Average period
extern enPrices  MaPrice    = pr_close; // Price to use

double ma[],prediction[],prices[];

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
//
//
//
//
//

int init()
{
   IndicatorBuffers(3);
   SetIndexBuffer(0,ma);
   SetIndexBuffer(1,prediction); SetIndexShift(1,1);
   SetIndexBuffer(2,prices);
      MaPeriod=MathMax(MaPeriod,2);
   return(0);
}
int start()
{
   int countedBars = IndicatorCounted();
      if(countedBars<0) return(-1);
      if(countedBars>0) countedBars--;
         int limit = MathMin(Bars-countedBars,Bars-1);

   //
   //
   //
   //
   //
   
   for(int i=limit; i>=0; i--)
   {
      prices[i]     = getPrice(MaPrice,Open,Close,High,Low,i);
      ma[i]         = iSma(prices[i],MaPeriod,i,Bars);
      prediction[i] = (i<Bars-MaPeriod) ? (MaPeriod*ma[i]-prices[i+MaPeriod])/(MaPeriod-1) : prices[i];
   }
   return(0);
}


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

double workSma[][1];
double iSma(double price, int period, int r, int _bars, int instanceNo=0)
{
   if (ArrayRange(workSma,0)!= _bars) ArrayResize(workSma,_bars); r=Bars-r-1;

   workSma[r][instanceNo+0] = price;
   double avg = price; int k=1; for(; k<period && (r-k)>=0; k++) avg += workSma[r-k][instanceNo+0];  
   return(avg/(double)k);
}

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

#define _prHABF(_prtype) (_prtype>=pr_habclose && _prtype<=pr_habtbiased2)
#define _priceInstances     1
#define _priceInstancesSize 4
double workHa[][_priceInstances*_priceInstancesSize];
double getPrice(int tprice, const double& open[], const double& close[], const double& high[], const double& low[], int i, int instanceNo=0)
{
  if (tprice>=pr_haclose)
   {
      if (ArrayRange(workHa,0)!= Bars) ArrayResize(workHa,Bars); instanceNo*=_priceInstancesSize; int r = Bars-i-1;
         
         //
         //
         //
         //
         //
         
         double haOpen  = (r>0) ? (workHa[r-1][instanceNo+2] + workHa[r-1][instanceNo+3])/2.0 : (open[i]+close[i])/2;;
         double haClose = (open[i]+high[i]+low[i]+close[i]) / 4.0;
         if (_prHABF(tprice))
               if (high[i]!=low[i])
                     haClose = (open[i]+close[i])/2.0+(((close[i]-open[i])/(high[i]-low[i]))*MathAbs((close[i]-open[i])/2.0));
               else  haClose = (open[i]+close[i])/2.0; 
         double haHigh  = fmax(high[i], fmax(haOpen,haClose));
         double haLow   = fmin(low[i] , fmin(haOpen,haClose));

         //
         //
         //
         //
         //
         
         if(haOpen<haClose) { workHa[r][instanceNo+0] = haLow;  workHa[r][instanceNo+1] = haHigh; } 
         else               { workHa[r][instanceNo+0] = haHigh; workHa[r][instanceNo+1] = haLow;  } 
                              workHa[r][instanceNo+2] = haOpen;
                              workHa[r][instanceNo+3] = haClose;
         //
         //
         //
         //
         //
         
         switch (tprice)
         {
            case pr_haclose:
            case pr_habclose:    return(haClose);
            case pr_haopen:   
            case pr_habopen:     return(haOpen);
            case pr_hahigh: 
            case pr_habhigh:     return(haHigh);
            case pr_halow:    
            case pr_hablow:      return(haLow);
            case pr_hamedian:
            case pr_habmedian:   return((haHigh+haLow)/2.0);
            case pr_hamedianb:
            case pr_habmedianb:  return((haOpen+haClose)/2.0);
            case pr_hatypical:
            case pr_habtypical:  return((haHigh+haLow+haClose)/3.0);
            case pr_haweighted:
            case pr_habweighted: return((haHigh+haLow+haClose+haClose)/4.0);
            case pr_haaverage:  
            case pr_habaverage:  return((haHigh+haLow+haClose+haOpen)/4.0);
            case pr_hatbiased:
            case pr_habtbiased:
               if (haClose>haOpen)
                     return((haHigh+haClose)/2.0);
               else  return((haLow+haClose)/2.0);        
            case pr_hatbiased2:
            case pr_habtbiased2:
               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);
}