i_trend.mq5

#property indicator_separate_window
#property indicator_buffers 3
#property indicator_color1  clrLimeGreen
#property indicator_color2  clrRed
#property indicator_color3  clrGoldenrod
#property indicator_width1  3
#property indicator_width2  3
#property indicator_style3  STYLE_DASH
#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
};
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)
};

extern int             PowerPeriod       = 5;              // Bulls Bears period
extern enMaTypes       PowerMethod       = ma_slwma;       // Bulls Bears Ma method 
extern enPrices        PowerPrice        = pr_median;      // Price used in the calculation     
extern int             LevelBars         = 100;            // Look back period for levels
extern double          LevelFactor       = 0.283;          // Levels factor

double val1[],val2[],itLev[];      

int init()
{
      // код доступен только после оплаты
   }

int start()
{
      // код доступен только после оплаты
   }

#define _maInstances 1
#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)length,r,bars,instanceNo));
      case ma_ema   : return(iEma(price,length,r,bars,instanceNo));
      case ma_smma  : return(iSmma(price,(int)length,r,bars,instanceNo));
      case ma_lwma  : return(iLwma(price,(int)length,r,bars,instanceNo));
      case ma_slwma : return(iSlwma(price,(int)length,r,bars,instanceNo));
      case ma_dsema : return(iDsema(price,length,r,bars,instanceNo));
      case ma_tema  : return(iTema(price,(int)length,r,bars,instanceNo));
      case ma_lsma  : return(iLinr(price,(int)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;
      

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