//+------------------------------------------------------------------+
//|                              Adaptive efficiency ratio - EMA.mq4 |
//|                                    from Mladen Rakic mt5 version |
//+------------------------------------------------------------------+
#property copyright "www.forex-station.com"
#property link      "www.forex-station.com"

#property indicator_chart_window
#property indicator_buffers 5
#property indicator_color1  clrKhaki
#property indicator_color2  clrLimeGreen
#property indicator_color3  clrLimeGreen
#property indicator_color4  clrDeepPink
#property indicator_color5  clrDeepPink
#property indicator_width1  3
#property indicator_width2  3
#property indicator_width3  3
#property indicator_width4  3
#property indicator_width5  3
#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
};

input int                inpPeriod = 600;              // Period
input enPrices           inpPrice  = pr_close;        // Price to use 

double val[],valc[],ama[],valda[],valdb[],valua[],valub[],diff[],noise[],prices[];
double m_fastEnd,m_slowEnd; int m_period;

//+------------------------------------------------------------------+ 
//| Custom indicator initialization function                         | 
//+------------------------------------------------------------------+ 
//
//

int OnInit()
{
   IndicatorBuffers(9);
   SetIndexBuffer(0, val,   INDICATOR_DATA); SetIndexStyle(0,DRAW_LINE);
   SetIndexBuffer(1, valua, INDICATOR_DATA); SetIndexStyle(1,DRAW_LINE);
   SetIndexBuffer(2, valub, INDICATOR_DATA); SetIndexStyle(2,DRAW_LINE);
   SetIndexBuffer(3, valda, INDICATOR_DATA); SetIndexStyle(3,DRAW_LINE);
   SetIndexBuffer(4, valdb, INDICATOR_DATA); SetIndexStyle(4,DRAW_LINE);
   SetIndexBuffer(5, diff,  INDICATOR_CALCULATIONS);
   SetIndexBuffer(6, noise, INDICATOR_CALCULATIONS);
   SetIndexBuffer(7, prices,INDICATOR_CALCULATIONS);
   SetIndexBuffer(8, valc,  INDICATOR_CALCULATIONS);
   
   m_period    = (inpPeriod>1) ? inpPeriod : 1;
   m_fastEnd   = fmax(m_period*0.5,1);
   m_slowEnd   =      m_period*5;

   IndicatorShortName("Adaptive EMA ("+(string)inpPeriod+")");
return (INIT_SUCCEEDED);
}
void OnDeinit(const int reason){  }

//+------------------------------------------------------------------+
//| Custom indicator iteration function                              |
//+------------------------------------------------------------------+
//
//

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,counted_bars=prev_calculated;
       if(counted_bars<0) return(-1);
       if(counted_bars>0) counted_bars--;
          int limit = fmin(rates_total-counted_bars,rates_total-1); 
   
   //
   //
   //
   //
   //
   
   if (valc[limit]== 1) CleanPoint(limit,valua,valub);
   if (valc[limit]==-1) CleanPoint(limit,valda,valdb);
   for(i=limit; i>=0; i--) 
   {
       double _price = getPrice(inpPrice,open,close,high,low,i,rates_total); 
       prices[i] = _price;
       diff[i]   = (i<rates_total-1) ? fabs(prices[i]-prices[i+1]) : 0; if (diff[i]<0) diff[i]*= -1.0;

       //
       //
       //
       //
       //
                     
       double signal  = 0;
         if (i<rates_total-m_period)
         {
            signal   = fabs(prices[i]-prices[i+m_period]); if (signal<0) signal *= -1.0;
            noise[i] = noise[i+1] + fabs(diff[i]-diff[i+m_period]);
         }         
         else       
         {
            noise[i] = fabs(diff[i]);
            for(int k=1; k<m_period && (i+k)<rates_total; k++) noise[i] += fabs(diff[i+k]);
         }
      
         //
         //
         //
         //
         //
             
         double efratio = (noise[i]!=0) ? signal/noise[i] : 1;
         double avgPer  = (noise[i]!=0) ? ((signal/noise[i])*(m_slowEnd-m_fastEnd))+m_fastEnd : m_period;
         val[i]  = (i<rates_total-1) ? val[i+1]+(2.0/(1.0+avgPer))*(_price-val[i+1]) : (_price);
         valda[i]  = EMPTY_VALUE;
         valdb[i]  = EMPTY_VALUE;
         valua[i]  = EMPTY_VALUE;
         valub[i]  = EMPTY_VALUE;
         valc[i] = (i<rates_total-1) ? (val[i]>val[i+1]) ? 1 :(val[i]<val[i+1]) ? -1 : valc[i+1]: 0;
         if (valc[i]== 1) PlotPoint(i,valua,valub,val);
         if (valc[i]==-1) PlotPoint(i,valda,valdb,val);
   }
return(rates_total);
}
 
//-------------------------------------------------------------------
//                                                                  
//-------------------------------------------------------------------
//
//
//
//
//

void CleanPoint(int i,double& first[],double& second[])
{
   if (i>=Bars-3) return;
   if ((second[i]  != EMPTY_VALUE) && (second[i+1] != EMPTY_VALUE))
        second[i+1] = EMPTY_VALUE;
   else
      if ((first[i] != EMPTY_VALUE) && (first[i+1] != EMPTY_VALUE) && (first[i+2] == EMPTY_VALUE))
          first[i+1] = EMPTY_VALUE;
}

void PlotPoint(int i,double& first[],double& second[],double& from[])
{
   if (i>=Bars-2) return;
   if (first[i+1] == EMPTY_VALUE)
      if (first[i+2] == EMPTY_VALUE) 
            { first[i]  = from[i]; first[i+1]  = from[i+1]; second[i] = EMPTY_VALUE; }
      else  { second[i] = from[i]; second[i+1] = from[i+1]; first[i]  = EMPTY_VALUE; }
   else     { first[i]  = from[i];                          second[i] = EMPTY_VALUE; }
}

//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//

#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 bars, 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]))*fabs((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);
}


