#property copyright "www.forex-station.com"
#property link      "www.forex-station.com"

#property indicator_separate_window
#property indicator_buffers 5
#property indicator_label1  "Rsi strong up"
#property indicator_type1   DRAW_HISTOGRAM
#property indicator_color1  clrLimeGreen
#property indicator_width1  2

#property indicator_label2  "Rsi weak up"
#property indicator_type2   DRAW_HISTOGRAM
#property indicator_color2  clrLimeGreen

#property indicator_label3  "Rsi strong down"
#property indicator_type3   DRAW_HISTOGRAM
#property indicator_color3  clrOrange
#property indicator_width3  2

#property indicator_label4  "Rsi weak down"
#property indicator_type4   DRAW_HISTOGRAM
#property indicator_color4  clrOrange

#property indicator_label5  "Rsi weak down"
#property indicator_type5   DRAW_LINE
#property indicator_color5  clrGray
#property indicator_width5  2
#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 ENUM_TIMEFRAMES   TimeFrame    = PERIOD_CURRENT;    // Time frame
input int                RsiPeriod    = 32;                // Rsi period
input enPrices           RsiPrice     = pr_close;          // Rsi price
input bool               Interpolate  = true;              // Interpolate in multi time frame mode

double huu[],hud[],hdd[],hdu[],val[],valc[],count[]; 
string indicatorFileName;
#define _mtfCall(_buff,_ind) iCustom(NULL,TimeFrame,indicatorFileName,PERIOD_CURRENT,RsiPeriod,RsiPrice,_buff,_ind)

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
//
//
//
//
//

int OnInit()
{
    IndicatorBuffers(7);
    SetIndexBuffer(0,huu,INDICATOR_DATA); 
    SetIndexBuffer(1,hud,INDICATOR_DATA); 
    SetIndexBuffer(2,hdd,INDICATOR_DATA);
    SetIndexBuffer(3,hdu,INDICATOR_DATA);
    SetIndexBuffer(4,val,INDICATOR_DATA);
    SetIndexBuffer(5,valc);
    SetIndexBuffer(6,count);
   
    indicatorFileName = WindowExpertName();
    TimeFrame         = fmax(TimeFrame,_Period); 
 
    IndicatorSetString(INDICATOR_SHORTNAME,timeFrameToString(TimeFrame)+" Rsi");
return (INIT_SUCCEEDED);
}
void OnDeinit(const int reason) {}

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
//
//
//
//
//

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=rates_total-prev_calculated+1; if (i>=rates_total) i=rates_total-1; count[0]=i;
      if (TimeFrame!=_Period)
      {
         i = (int)fmax(i,fmin(rates_total-1,_mtfCall(6,0)*TimeFrame/_Period));
         for (; i>=0 && !_StopFlag; i--)
         {
             int y = iBarShift(_Symbol,TimeFrame,time[i]);
                huu[i] = _mtfCall(0,y);
                hud[i] = _mtfCall(1,y);
                hdd[i] = _mtfCall(2,y);
                hdu[i] = _mtfCall(3,y);  
                val[i] = _mtfCall(4,y);
                    
                //
                //
                //
                     
                if (!Interpolate || (i>0 && y==iBarShift(_Symbol,TimeFrame,time[i-1]))) continue;
                  #define _interpolate(buff) buff[i+k] = buff[i]+(buff[i+n]-buff[i])*k/n
                  int n,k; datetime btime = iTime(_Symbol,TimeFrame,y);
                     for(n = 1; (i+n)<rates_total && time[i+n] >= btime; n++) continue;	
                     for(k = 1; k<n && (i+n)<rates_total && (i+k)<rates_total; k++) 
                     {
                        _interpolate(val); 
                        if (huu[i]!= EMPTY_VALUE) huu[i+k] = val[i+k];
                        if (hud[i]!= EMPTY_VALUE) hud[i+k] = val[i+k];
  	                     if (hdd[i]!= EMPTY_VALUE) hdd[i+k] = val[i+k];
  	                     if (hdu[i]!= EMPTY_VALUE) hdu[i+k] = val[i+k];
                     }                                                                    
              }  
   return(rates_total);
   }
   
   //
   //
   //
 
   for (; i>=0 && !_StopFlag; i--)
   {
      val[i]  = iRsi(getPrice(RsiPrice,open,close,high,low,i,rates_total),RsiPeriod,i,rates_total)-50;
      valc[i] = (i<rates_total-1) ? (val[i]>0) ? (val[i]>val[i+1]) ? 0 : 1 : (val[i]<val[i+1]) ? 2 : 3 : 0;
      huu[i] = (valc[i] == 0) ? val[i] : EMPTY_VALUE;
      hud[i] = (valc[i] == 1) ? val[i] : EMPTY_VALUE;
      hdd[i] = (valc[i] == 2) ? val[i] : EMPTY_VALUE;
      hdu[i] = (valc[i] == 3) ? val[i] : EMPTY_VALUE;  
   }
return(rates_total);
}
      
//
//
//
//
//

//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//
//

#define _rsiInstances     1
#define _rsiInstancesSize 3
double workRsi[][_rsiInstances*_rsiInstancesSize];
#define _price  0
#define _change 1
#define _changa 2

double iRsi(double price, double period, int i, int bars, int instanceNo=0)
{
   if (ArrayRange(workRsi,0)!=bars) ArrayResize(workRsi,bars);
      int z = instanceNo*_rsiInstancesSize; 
      int r = bars-i-1;
   
   //
   //
   //
   //
   //
   
   workRsi[r][z+_price] = price;
      if (r<period)
         {
            int k; double sum = 0; for (k=0; k<period && (r-k-1)>=0; k++) sum += MathAbs(workRsi[r-k][z+_price]-workRsi[r-k-1][z+_price]);
               workRsi[r][z+_change] = (workRsi[r][z+_price]-workRsi[0][z+_price])/MathMax(k,1);
               workRsi[r][z+_changa] =                                         sum/MathMax(k,1);
         }
      else
         {
            double alpha = 1.0/period; 
            double change = workRsi[r][z+_price]-workRsi[r-1][z+_price];
                            workRsi[r][z+_change] = workRsi[r-1][z+_change] + alpha*(        change  - workRsi[r-1][z+_change]);
                            workRsi[r][z+_changa] = workRsi[r-1][z+_changa] + alpha*(MathAbs(change) - workRsi[r-1][z+_changa]);
         }
         if (workRsi[r][z+_changa] != 0)
               return(50.0*(workRsi[r][z+_change]/workRsi[r][z+_changa]+1));
         else  return(50.0);
}

//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//

#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);
}

//-------------------------------------------------------------------
//                                                                  
//-------------------------------------------------------------------
//
//
//
//
//

string sTfTable[] = {"M1","M5","M15","M30","H1","H4","D1","W1","MN"};
int    iTfTable[] = {1,5,15,30,60,240,1440,10080,43200};

string timeFrameToString(int tf)
{
   for (int i=ArraySize(iTfTable)-1; i>=0; i--) 
         if (tf==iTfTable[i]) return(sTfTable[i]);
                              return("");
}
