4MA Candles Indicator For MT5

4MA Candles Indicator For MT5

4MA Candles Indicator For MT5 analizira odprto, visoko, zapiranje in nizko število sveč, da ustvari nov nabor japonskih svečnikov. Ko je cena višja, je barva svečnika rjava. Nasprotno, ko je cena nižja, je barva svečnika obarvana v zeleno. Trgovci na podlagi barvne kode sveč zlahka najdejo smer glavnega trenda. Za izvedbo poslov se morajo trgovci zanesti na širšo sliko trga. Če branje tega kazalca uporabljate v spodnjem časovnem okviru, so velike možnosti, da s tega trga ne boste mogli zaslužiti dostojnega dobička. Če želite izboljšati postopek izvajanja trgovine, se morate naučiti analizirati vzorce sveč, ko cena doseže kritično raven podpore in odpornosti. Trgovci se morajo na podlagi kritičnih ravni osredotočiti na dolgoročno gibanje cen, da se jim ne bo treba spopasti z lažnimi konicami.

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Namestitev 4MA Candles Indicator For MT5

Ko naložite indikator prek zgornjega obrazca, morate odpreti zip datoteko. Nato morate kopirati datoteko 4_ma_candles.mq5 v mapo MQL5Indicators vaše namestitve MT5 . Po tem znova zaženite MT5 in takrat boste lahko videli indikator na seznamu indikatorjev.

Parametri 4MA Candles Indicator For MT5

4MA Candles Indicator For MT5 ima za nastavitev parametre 2 .

input int       AvgPeriod  = 25;       // Averages period
input enMaTypes AvgType    = avgEma;   // Averages method

Odbojniki 4MA Candles Indicator For MT5

4MA Candles Indicator For MT5 zagotavlja blažilnike 5 .

SetIndexBuffer(0,cano  ,INDICATOR_DATA);
SetIndexBuffer(1,canh  ,INDICATOR_DATA);
SetIndexBuffer(2,canl  ,INDICATOR_DATA);
SetIndexBuffer(3,canc  ,INDICATOR_DATA);
SetIndexBuffer(4,colors,INDICATOR_COLOR_INDEX);

Glavni deli kodeksa

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 bars = Bars(_Symbol,_Period); if (bars lt rates_total) return(-1);
   for (int i=(int)MathMax(prev_calculated-1,0); i lt rates_total && !IsStopped(); i++)
   {
      double mao = iCustomMa(AvgType,open[i] ,AvgPeriod,i,rates_total,0);
      double mac = iCustomMa(AvgType,close[i],AvgPeriod,i,rates_total,1);
      double mah = iCustomMa(AvgType,high[i] ,AvgPeriod,i,rates_total,2);
      double mal = iCustomMa(AvgType,low[i]  ,AvgPeriod,i,rates_total,3);
         canh[i] = MathMax(MathMax(MathMax(mao,mac),mal),mah);
         canl[i] = MathMin(MathMin(MathMin(mao,mac),mal),mah);
         cano[i] = mao;
         canc[i] = mac;
         colors[i] = mao gt mac ? 2 : mao lt mac ? 1 : 0; 
   }
   return(rates_total);
}

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

#define _maInstances 4
#define _maWorkBufferx1 1*_maInstances
#define _maWorkBufferx2 2*_maInstances

double iCustomMa(int mode, double price, double length, int r, int bars, int instanceNo=0)
{
   switch (mode)
   {
      case avgSma   : return(iSma(price,(int)length,r,bars,instanceNo));
      case avgEma   : return(iEma(price,length,r,bars,instanceNo));
      case avgSmma  : return(iSmma(price,(int)length,r,bars,instanceNo));
      case avgLwma  : return(iLwma(price,(int)length,r,bars,instanceNo));
      default       : return(price);
   }
}

//
//
//
//
//

double workSma[][_maWorkBufferx2];
double iSma(double price, int period, int r, int _bars, int instanceNo=0)
{
   if (period lt =1) return(price);
   if (ArrayRange(workSma,0)!= _bars) ArrayResize(workSma,_bars); instanceNo *= 2; int k;

   //
   //
   //
   //
   //
      
   workSma[r][instanceNo+0] = price;
   workSma[r][instanceNo+1] = price; for(k=1; k lt period && (r-k) gt =0; k++) workSma[r][instanceNo+1] += workSma[r-k][instanceNo+0];  
   workSma[r][instanceNo+1] /= 1.0*k;
   return(workSma[r][instanceNo+1]);
}

//
//
//
//
//

double workEma[][_maWorkBufferx1];
double iEma(double price, double period, int r, int _bars, int instanceNo=0)
{
   if (period lt =1) return(price);
   if (ArrayRange(workEma,0)!= _bars) ArrayResize(workEma,_bars);

   //
   //
   //
   //
   //
      
   workEma[r][instanceNo] = price;
   double alpha = 2.0 / (1.0+period);
   if (r gt 0)
          workEma[r][instanceNo] = workEma[r-1][instanceNo]+alpha*(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 (period lt =1) return(price);
   if (ArrayRange(workSmma,0)!= _bars) ArrayResize(workSmma,_bars);

   //
   //
   //
   //
   //

   if (r lt period)
         workSmma[r][instanceNo] = price;
   else  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 (period lt =1) return(price);
   if (ArrayRange(workLwma,0)!= _bars) ArrayResize(workLwma,_bars);
   
   //
   //
   //
   //
   //
   
   workLwma[r][instanceNo] = price;
      double sumw = period;
      double sum  = period*price;

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

 

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