//+----------------------------------------------------------+
//|                              Ehlers fisher transform.mq4 |
//|                                                   mladen |
//+----------------------------------------------------------+
#property  copyright "mladen"
#property  link      "mladenfx@gmail.com"

#property  indicator_separate_window
#property  indicator_buffers 4
#property  indicator_color1  Lime
#property  indicator_color2  Orange
#property  indicator_color3  Orange
#property  indicator_color4  YellowGreen
#property  indicator_width1  2
#property  indicator_width2  2
#property  indicator_width3  2
#property  indicator_style4  STYLE_DOT

//
//
//

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               period          = 10;
extern enPrices          PriceType       = pr_habmedian;
extern bool              showSignalLine  = true;
input bool               alertsOn        = false;                // Alerts on true/false?
input bool               alertsOnCurrent = true;                 // Alerts on still opened bar true/false?
input bool               alertsMessage   = true;                 // Alerts pop-up message true/false?
input bool               alertsSound     = false;                // Alerts sound true/false?
input bool               alertsPushNotif = false;                // Alerts push notification true/false?
input bool               alertsEmail     = false;                // Alerts email true/false?
input string             soundFile       = "alert2.wav";  

//
//
//
//
//

double buffer1[];
double buffer2[];
double buffer3[];
double buffer4[];
double Prices[];
double Values[];
double trend[];

//+----------------------------------------------------------+
//|                                                          |
//+----------------------------------------------------------+
//
//
//
//
//

int init()
{
   IndicatorBuffers(7);
      SetIndexBuffer(0,buffer1);
      SetIndexBuffer(1,buffer3);
      SetIndexBuffer(2,buffer4);
      SetIndexBuffer(3,buffer2);
      SetIndexBuffer(4,Prices);
      SetIndexBuffer(5,Values);
      SetIndexBuffer(6,trend);
   IndicatorShortName("Ehlers\' Fisher transform ("+period+")");
   return(0);
}


//+----------------------------------------------------------+
//|                                                          |
//+----------------------------------------------------------+
//
//
//
//
//

int start()
{
   int  counted_bars=IndicatorCounted();
   int  i,limit;

   if(counted_bars < 0) return(-1);
   if(counted_bars > 0) counted_bars--;
           limit = MathMin(Bars-counted_bars,Bars-1);

   //
   //
   //
   //
   //
   
   if (trend[limit] == -1) CleanPoint(limit,buffer3,buffer4);      
   for(i=limit; i>=0; i--)
   {  
      Prices[i] = getPrice(PriceType,Open,Close,High,Low,i,Bars);
      
      //
      //
      //
      //
      //
                  
         double MaxH = Prices[ArrayMaximum(Prices,period,i)];
         double MinL = Prices[ArrayMinimum(Prices,period,i)];
         if (MaxH!=MinL)
               Values[i] = 0.33*2*((Prices[i]-MinL)/(MaxH-MinL)-0.5)+0.67*Values[i+1];
         else  Values[i] = 0.00;
               Values[i] = MathMin(MathMax(Values[i],-0.999),0.999); 

      // 
      //
      //
      //
      //

      buffer1[i] = 0.5*MathLog((1+Values[i])/(1-Values[i]))+0.5*buffer1[i+1];
      if (showSignalLine) buffer2[i] = buffer1[i+1];
      buffer3[i] = EMPTY_VALUE;
      buffer4[i] = EMPTY_VALUE;
      trend[i] = trend[i+1];
      if (buffer1[i]>buffer1[i+1]) trend[i] = 1;
      if (buffer1[i]<buffer1[i+1]) trend[i] =-1;
      if (trend[i] == -1) PlotPoint(i,buffer3,buffer4,buffer1);   
   }
   if (alertsOn)
   {
      int whichBar = 1; if (alertsOnCurrent) whichBar = 0; 
      if (trend[whichBar] != trend[whichBar+1])
      {
         if (trend[whichBar] == 1) doAlert(" sloping up");
         if (trend[whichBar] ==-1) doAlert(" sloping down");       
       }         
    }      
   return(0);
}

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+

void CleanPoint(int i,double& first[],double& second[])
{
   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 (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);
}

//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//

void doAlert(string doWhat)
{
   static string   previousAlert="nothing";
   static datetime previousTime;
   string message;
   
      if (previousAlert != doWhat || previousTime != Time[0]) {
          previousAlert  = doWhat;
          previousTime   = Time[0];

          //
          //
          //
          //
          //

          message = timeFrameToString(_Period)+" "+_Symbol+" at "+TimeToStr(TimeLocal(),TIME_SECONDS)+" Ehlers fisher transform "+doWhat;
             if (alertsMessage)    Alert(message); 
             if (alertsPushNotif)  SendNotification(message);
             if (alertsEmail)      SendMail(_Symbol+" Ehlers fisher transform ",message);
             if (alertsSound)      PlaySound(soundFile);
      }
}

//
//
//

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("");
}

