
/*   IBS,RSI,CCI    ,     , 
    (  IBS    ,     ).
       IBS,RSI,CCI .
             ,
          .
   Shift    (Shift    ).
"_1"    1  2.    2 --> "_1 = false".
"positive"   .      --> "positive = true".*/
//+----------------------------------------------------------------------------------------------------------------------------------+
//|Three methods of calculating IBS, RSI, CCI are all equal in the control, everyone has a revolution of the calculation,            |
//|coefficient of relativity and aplied price (for IBS, this is not a significant parameter, but stands for symmetry of parameters). |
//|Drawing lines goes like the average of three IBS, RSI, CCI.                                                                       |
//|Inside both the direct and the inverted one can in turn turn over one of the methods,                                             |
//|they are independent of both the coup and the relativity.                                                                         |
//|You can also move lines through Shift (Shift cannot be negative).                                                                 |
//|"option_1" controls the calculation options 1 or 2. The default is 2 -> "option_1 = false".                                       |
//|"positive" controls the mirror image. The default is normal display -> "positive = true".                                         |
//+----------------------------------------------------------------------------------------------------------------------------------+

//+------------------------------------------------------------------+
//|                                               IBS_RSI_CCI_v4.mq4 |
//|                                                       Martingeil |
//+------------------------------------------------------------------+
#property copyright "Martingeil"
#property link      "fx.09@mail.ru"
 
#property indicator_separate_window
#property indicator_buffers 4
#property indicator_color1  clrGreen
#property indicator_color2  clrLimeGreen
#property indicator_color3  clrMaroon
#property indicator_color4  clrRed
#property indicator_width1  2
#property indicator_width2  2
#property indicator_width3  2
#property indicator_width4  2
#property indicator_maximum 1
#property indicator_minimum 0

//
//
//
//
//

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
};
enum enMaTypes
{
   ma_sma,     // Simple moving average
   ma_ema,     // Exponential moving average
   ma_smma,    // Smoothed MA
   ma_lwma,    // Linear weighted MA
   ma_slwma,   // Smoothed LWMA
   ma_dsema,   // Double Smoothed Exponential average
   ma_tema,    // Triple exponential moving average - TEMA
   ma_lsma,    // Linear regression value (lsma)
   ma_nlma     // Non Lag moving average - NLMA
};


//---- midline parameters -------------------------------
extern int      TimeFrame         = 0;
extern int      per_IBS           = 5;                // period IBS
input enMaTypes mode_IBSMa        = ma_ema;            // IBS Moving average method  
extern int      per_RSI           = 14;                // period RSI 
input enPrices  app_price_RSI     = pr_close;          // Rsi price to use 
extern int      per_CCI           = 14;                // period CCI
input enPrices  app_price_CCI     = pr_typical;        // Cci price to use 
extern int      porog             = 50;                // threshold         
extern int      RangePeriod_VKWB  = 25;
extern int      SmoothPeriod_VKWB = 3; 
input enMaTypes SmoothMode_VKWB   = ma_ema;           // Moving average method  

//------------------------------------------------------------
double koef_ibs = 7.0;
double koef_rsi = 9.0;
double koef_cci = 1.0;

int  = 0;              // empty value for symmetry parameters 



bool ibs             = true; // use ibs to calculate the average lin
bool rsi             = true; // use rsi to calculate the average lin
bool cci             = true; // use cci to calculate the average lin
bool option_1        = false;// the choice of options for calculating the indicator, the default is 2 option         
int  Shift           = 0;    // bar shift
bool positive        = true; // mirror - invert 

//------------------------------------------------------------          
//---- buffers
double E0[], E1[], E2[], E3[], E4[], E5[], E6[], E7[],huu[],hud[],hdd[],hdu[];
int kibs=-1,kcci=-1,krsi=-1,posit=-1,xma1=1;
//------------------------------------------------------------
string indicatorFileName;
bool   returnBars;
int init(){
   IndicatorBuffers(12); 
   SetIndexBuffer(0,hud); SetIndexStyle(0,DRAW_HISTOGRAM);
   SetIndexBuffer(1,huu); SetIndexStyle(1,DRAW_HISTOGRAM);
   SetIndexBuffer(2,hdu); SetIndexStyle(2,DRAW_HISTOGRAM);
   SetIndexBuffer(3,hdd); SetIndexStyle(3,DRAW_HISTOGRAM);
   SetIndexBuffer(4,E0); 
   SetIndexBuffer(5,E7); 
   SetIndexBuffer(6,E1);   
   SetIndexBuffer(7,E2);
   SetIndexBuffer(8,E3);
   SetIndexBuffer(9,E4);  
   SetIndexBuffer(10,E5); SetIndexDrawBegin(10,SmoothPeriod_VKWB);  
   SetIndexBuffer(11,E6); SetIndexDrawBegin(11,SmoothPeriod_VKWB);
    
        
   if(cci)kcci=1; if(rsi)krsi=1; if(ibs)kibs=1; 
   if(option_1)xma1=0; if(positive)posit=1;   
   
         indicatorFileName = WindowExpertName();
         returnBars        = TimeFrame==-99;
         if (TimeFrame==0) TimeFrame = _Period;    
return(0);}
//------------------------------------------------------------
int deinit(){return(0);}
//------------------------------------------------------------

int start()
  {
   int  cb=IndicatorCounted();
//----
   int i,limit,limit1,limit2,n_max,n_min;
   if(cb==0){limit=Bars-1; limit1=Bars-RangePeriod_VKWB; limit2=limit1-SmoothPeriod_VKWB;}
   if(cb>0) {limit=Bars-cb; limit1=Bars-cb; limit2=limit1;}  
   limit--;limit1--;limit2--;

         if (returnBars) { hud[0] = MathMin(MathMax(MathMax(limit+1,limit1+1),limit2+1),Bars-1); return(0); }
         if (TimeFrame != _Period)
         {
            limit = MathMax(limit,MathMin(Bars-1,iCustom(NULL,TimeFrame,indicatorFileName,-99,0,0)*TimeFrame/Period()));
            for(i = limit; i >= 0; i--)
            {
               int y = iBarShift(NULL,TimeFrame,Time[i]);
                  hud[i] = iCustom(NULL,TimeFrame,indicatorFileName,PERIOD_CURRENT,per_IBS,mode_IBSMa,per_RSI,app_price_RSI,per_CCI,app_price_CCI,porog,RangePeriod_VKWB,SmoothPeriod_VKWB,SmoothMode_VKWB,0,y);
                  huu[i] = iCustom(NULL,TimeFrame,indicatorFileName,PERIOD_CURRENT,per_IBS,mode_IBSMa,per_RSI,app_price_RSI,per_CCI,app_price_CCI,porog,RangePeriod_VKWB,SmoothPeriod_VKWB,SmoothMode_VKWB,1,y);
                  hdu[i] = iCustom(NULL,TimeFrame,indicatorFileName,PERIOD_CURRENT,per_IBS,mode_IBSMa,per_RSI,app_price_RSI,per_CCI,app_price_CCI,porog,RangePeriod_VKWB,SmoothPeriod_VKWB,SmoothMode_VKWB,2,y);
                  hdd[i] = iCustom(NULL,TimeFrame,indicatorFileName,PERIOD_CURRENT,per_IBS,mode_IBSMa,per_RSI,app_price_RSI,per_CCI,app_price_CCI,porog,RangePeriod_VKWB,SmoothPeriod_VKWB,SmoothMode_VKWB,3,y);
            }
            return(0);
         }

   
   Delitel(E2,limit);
   for(i=limit;i>=0;i--)
   {
      E1[i]=posit*iMA_IBS_RSI_CCI(E2,per_IBS,per_RSI,per_CCI,mode_IBSMa,,app_price_RSI,app_price_CCI,
                                    koef_ibs,koef_rsi,koef_cci,kibs,krsi,kcci,i+Shift);                   
   }
   for(i = limit;i>=0;i--)
   {
      E0[i]=E0[i+1];
      double raz10=E1[i]-E0[i];      
      if(fabs(raz10)>porog) 
      {
       if(raz10>0) E0[i]=E1[i]-porog*xma1;
       if(raz10<0) E0[i]=E1[i]+porog*xma1;
      }         
   } 
   for(i=limit1; i>=0;i--)
   {
      n_max = ArrayMaximum(E0,RangePeriod_VKWB,i);
      n_min = ArrayMinimum(E0,RangePeriod_VKWB,i);
      E3[i] = E0[n_max];
      E4[i] = E0[n_min];
      E5[i] = iCustomMa(SmoothMode_VKWB,E3[i],SmoothPeriod_VKWB,i,Bars,0);
      E6[i] = iCustomMa(SmoothMode_VKWB,E4[i],SmoothPeriod_VKWB,i,Bars,1);
      E7[i] =(E5[i]+E6[i])/2;
    }  
    for(i=limit; i>=0;i--)
    {
       huu[i] = EMPTY_VALUE;
       hud[i] = EMPTY_VALUE;
       hdu[i] = EMPTY_VALUE;
       hdd[i] = EMPTY_VALUE;
       if (E0[i]>E7[i] &&  E7[i]>0) { huu[i] = 1; continue; }
       if (E0[i]>0)                 { hud[i] = 1; continue; }
       if (E0[i]<E7[i] &&  E7[i]<0) { hdd[i] = 1; continue; }
       if (E0[i]<0)                 { hdu[i] = 1; continue; }
   }                          
return(0);}
//------------------------------------------------------------
void Delitel(double& ExtMapBuffer[],int limit)
{
 double delitel;
 for(int i=limit;i>=0;i--)
 {
    delitel = High[i]-Low[i];
    if (delitel>0) ExtMapBuffer[i]= (Close[i]-Low[i])/delitel;
    else           ExtMapBuffer[i]= 0.0;
}
return;}
//------------------------------------------------------------ 
double iMA_IBS_RSI_CCI(double& ExtMapBuffer[],int tper_IBS,int tper_RSI,int tper_CCI,int tmode_Ma,
                      int t,int tapp_price_RSI,int tapp_price_CCI,double tkoef_ibs,double tkoef_rsi,double tkoef_cci,
                      int tkibs,int tkrsi,int tkcci,int i)
{

 double sum = 0.0;
 sum += tkibs*(iCustomMa(tmode_Ma,ExtMapBuffer[i],tper_IBS,i,Bars,2)-0.5)*100.0*tkoef_ibs;
 sum += tkcci* iCci(getPrice(tapp_price_CCI,Open,Close,High,Low,i,Bars,0),tper_CCI,i,Bars)*tkoef_cci; 
 sum += tkrsi*(iRsi(getPrice(tapp_price_RSI,Open,Close,High,Low,i,Bars,1),tper_RSI,i,Bars)-50.0)*tkoef_rsi;
 sum *= 1.0/3.0; 
return(sum);}

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

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("");
}

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

#define _maInstances 3
#define _maWorkBufferx1 1*_maInstances
#define _maWorkBufferx2 2*_maInstances
#define _maWorkBufferx3 3*_maInstances

double iCustomMa(int mode, double price, double length, int r, int bars, int instanceNo=0)
{
   r = bars-r-1;
   switch (mode)
   {
      case ma_sma   : return(iSma(price,(int)ceil(length),r,bars,instanceNo));
      case ma_ema   : return(iEma(price,length,r,bars,instanceNo));
      case ma_smma  : return(iSmma(price,(int)ceil(length),r,bars,instanceNo));
      case ma_lwma  : return(iLwma(price,(int)ceil(length),r,bars,instanceNo));
      case ma_slwma : return(iSlwma(price,(int)ceil(length),r,bars,instanceNo));
      case ma_dsema : return(iDsema(price,length,r,bars,instanceNo));
      case ma_tema  : return(iTema(price,(int)ceil(length),r,bars,instanceNo));
      case ma_lsma  : return(iLinr(price,(int)ceil(length),r,bars,instanceNo));
      case ma_nlma  : return(iNonLagMa(price,length,r,bars,instanceNo));
      default       : return(price);
   }
}

//
//
//
//
//

double workSma[][_maWorkBufferx1];
double iSma(double price, int period, int r, int _bars, int instanceNo=0)
{
   if (ArrayRange(workSma,0)!= _bars) ArrayResize(workSma,_bars);

   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);
}

//
//
//
//
//

double workEma[][_maWorkBufferx1];
double iEma(double price, double period, int r, int _bars, int instanceNo=0)
{
   if (ArrayRange(workEma,0)!= _bars) ArrayResize(workEma,_bars);

   workEma[r][instanceNo] = price;
   if (r>0 && period>1)
          workEma[r][instanceNo] = workEma[r-1][instanceNo]+(2.0/(1.0+period))*(price-workEma[r-1][instanceNo]);
   return(workEma[r][instanceNo]);
}

//
//
//
//
//

double workSmma[][_maWorkBufferx1];
double iSmma(double price, double period, int r, int _bars, int instanceNo=0)
{
   if (ArrayRange(workSmma,0)!= _bars) ArrayResize(workSmma,_bars);

   workSmma[r][instanceNo] = price;
   if (r>1 && period>1)
          workSmma[r][instanceNo] = workSmma[r-1][instanceNo]+(price-workSmma[r-1][instanceNo])/period;
   return(workSmma[r][instanceNo]);
}

//
//
//
//
//

double workLwma[][_maWorkBufferx1];
double iLwma(double price, double period, int r, int _bars, int instanceNo=0)
{
   if (ArrayRange(workLwma,0)!= _bars) ArrayResize(workLwma,_bars);
   
   workLwma[r][instanceNo] = price; if (period<=1) return(price);
      double sumw = period;
      double sum  = period*price;

      for(int k=1; k<period && (r-k)>=0; k++)
      {
         double weight = period-k;
                sumw  += weight;
                sum   += weight*workLwma[r-k][instanceNo];  
      }             
      return(sum/sumw);
}

//
//
//
//
//


double workSlwma[][_maWorkBufferx2];
double iSlwma(double price, double period, int r, int _bars, int instanceNo=0)
{
   if (ArrayRange(workSlwma,0)!= _bars) ArrayResize(workSlwma,_bars); 

   //
   //
   //
   //
   //

      int SqrtPeriod = (int)MathFloor(MathSqrt(period)); instanceNo *= 2;
         workSlwma[r][instanceNo] = price;

         //
         //
         //
         //
         //
               
         double sumw = period;
         double sum  = period*price;
   
         for(int k=1; k<period && (r-k)>=0; k++)
         {
            double weight = period-k;
                   sumw  += weight;
                   sum   += weight*workSlwma[r-k][instanceNo];  
         }             
         workSlwma[r][instanceNo+1] = (sum/sumw);

         //
         //
         //
         //
         //
         
         sumw = SqrtPeriod;
         sum  = SqrtPeriod*workSlwma[r][instanceNo+1];
            for(k=1; k<SqrtPeriod && (r-k)>=0; k++)
            {
               weight = SqrtPeriod-k;
                      sumw += weight;
                      sum  += weight*workSlwma[r-k][instanceNo+1];  
            }
   return(sum/sumw);
}

//
//
//
//
//

double workDsema[][_maWorkBufferx2];
#define _ema1 0
#define _ema2 1

double iDsema(double price, double period, int r, int _bars, int instanceNo=0)
{
   if (ArrayRange(workDsema,0)!= _bars) ArrayResize(workDsema,_bars); instanceNo*=2;

   //
   //
   //
   //
   //
   
   workDsema[r][_ema1+instanceNo] = price;
   workDsema[r][_ema2+instanceNo] = price;
   if (r>0 && period>1)
   {
      double alpha = 2.0 /(1.0+MathSqrt(period));
          workDsema[r][_ema1+instanceNo] = workDsema[r-1][_ema1+instanceNo]+alpha*(price                         -workDsema[r-1][_ema1+instanceNo]);
          workDsema[r][_ema2+instanceNo] = workDsema[r-1][_ema2+instanceNo]+alpha*(workDsema[r][_ema1+instanceNo]-workDsema[r-1][_ema2+instanceNo]); }
   return(workDsema[r][_ema2+instanceNo]);
}

//
//
//
//
//

double workTema[][_maWorkBufferx3];
#define _tema1 0
#define _tema2 1
#define _tema3 2

double iTema(double price, double period, int r, int bars, int instanceNo=0)
{
   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;
   if (r>0 && period>1)
   {
      double alpha = 2.0 / (1.0+period);
          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]));
}

//
//
//
//
//

double workLinr[][_maWorkBufferx1];
double iLinr(double price, int period, int r, int bars, int instanceNo=0)
{
   if (ArrayRange(workLinr,0)!= bars) ArrayResize(workLinr,bars);

   //
   //
   //
   //
   //
   
      period = MathMax(period,1);
      workLinr[r][instanceNo] = price;
      if (r<period) return(price);
         double lwmw = period; double lwma = lwmw*price;
         double sma  = price;
         for(int k=1; k<period && (r-k)>=0; k++)
         {
            double weight = period-k;
                   lwmw  += weight;
                   lwma  += weight*workLinr[r-k][instanceNo];  
                   sma   +=        workLinr[r-k][instanceNo];
         }             
   
   return(3.0*lwma/lwmw-2.0*sma/period);
}

//
//
//
//
//

#define _length  0
#define _len     1
#define _weight  2

double  nlmvalues[ ][3];
double  nlmprices[ ][_maWorkBufferx1];
double  nlmalphas[ ][_maWorkBufferx1];

//
//
//
//
//

double iNonLagMa(double price, double length, int r, int bars, int instanceNo=0)
{
   if (ArrayRange(nlmprices,0) != bars)         ArrayResize(nlmprices,bars);
   if (ArrayRange(nlmvalues,0) <  instanceNo+1) ArrayResize(nlmvalues,instanceNo+1);
                               nlmprices[r][instanceNo]=price;
   if (length<5 || r<3) return(nlmprices[r][instanceNo]);
   
   //
   //
   //
   //
   //
   
   if (nlmvalues[instanceNo][_length] != length)
   {
      double Cycle = 4.0;
      double Coeff = 3.0*M_PI;
      int    Phase = (int)(length-1);
      
         nlmvalues[instanceNo][_length] =       length;
         nlmvalues[instanceNo][_len   ] = (int)(length*4) + Phase;  
         nlmvalues[instanceNo][_weight] = 0;

         if (ArrayRange(nlmalphas,0) < (int)nlmvalues[instanceNo][_len]) ArrayResize(nlmalphas,(int)nlmvalues[instanceNo][_len]);
         for (int k=0; k<(int)nlmvalues[instanceNo][_len]; k++)
         {
            double t;
            if (k<=Phase-1) 
                  t = 1.0 * k/(Phase-1);
            else  t = 1.0 + (k-Phase+1)*(2.0*Cycle-1.0)/(Cycle*length-1.0); 
            double beta = MathCos(M_PI*t);
            double g = 1.0/(Coeff*t+1); if (t <= 0.5 ) g = 1;
      
            nlmalphas[k][instanceNo]        = g * beta;
            nlmvalues[instanceNo][_weight] += nlmalphas[k][instanceNo];
         }
   }
   
   //
   //
   //
   //
   //
   
   if (nlmvalues[instanceNo][_weight]>0)
   {
      double sum = 0;
           for (k=0; k < (int)nlmvalues[instanceNo][_len] && (r-k)>=0; k++) sum += nlmalphas[k][instanceNo]*nlmprices[r-k][instanceNo];
           return( sum / nlmvalues[instanceNo][_weight]);
   }
   else return(0);           
}

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

#define _prHABF(_prtype) (_prtype>=pr_habclose && _prtype<=pr_habtbiased2)
#define _priceInstances     2
#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);
}

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

double workCci[][1];
double iCci(double price, int period, int r, int bars, int instanceNo=0)
{
   if (ArrayRange(workCci,0)!= bars) ArrayResize(workCci,bars); r=bars-r-1;
   
   //
   //
   //
   //
   //
   
      workCci[r][instanceNo] = price;
         double tcci = 0;
         double avg  = 0; for(int k=0; k<period && (r-k)>=0; k++) avg +=      workCci[r-k][instanceNo];      avg /= period;
         double dev  = 0; for(    k=0; k<period && (r-k)>=0; k++) dev += fabs(workCci[r-k][instanceNo]-avg); dev /= period;
         if (dev!=0) tcci = (price-avg)/(0.015*dev);
return(tcci);
}

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

double workRsi[][3];
#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*3; 
      int r = bars-i-1;
   
   //
   //
   //
   //
   //
   
   workRsi[r][z+_price] = price;
         double alpha = 1.0/period; 
         if (r<period)
            {
               int k; double sum = 0; for (k=0; k<period && (r-k-1)>=0; k++) sum += fabs(workRsi[r-k][z+_price]-workRsi[r-k-1][z+_price]);
                  workRsi[r][z+_change] = (workRsi[r][z+_price]-workRsi[0][z+_price])/fmax(k,1);
                  workRsi[r][z+_changa] =                                         sum/fmax(k,1);
            }
         else
            {
               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*(fabs(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);
   
}

