NonLag ma trend

Author: mladen
Price Data Components
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NonLag ma trend
ÿþ//+------------------------------------------------------------------

#property copyright   "mladen"

#property link        "mladenfx@gmail.com"

#property description "nonlag trend"

//+------------------------------------------------------------------

#property indicator_chart_window

#property indicator_buffers 4

#property indicator_plots   1

#property indicator_label1  "nonlag trend"

#property indicator_type1   DRAW_COLOR_HISTOGRAM2

#property indicator_color1  clrDarkGray,clrDeepSkyBlue,clrSandyBrown

#property indicator_style1  STYLE_SOLID

#property indicator_width1  2

//

//--- input parameters

//

input int                inpPeriod = 10;          // Look back period

input ENUM_APPLIED_PRICE inpPrice  = PRICE_CLOSE; // Price

//

//--- buffers and global variables declarations

//

double valu[],vald[],valc[],prices[];

//+------------------------------------------------------------------+

//| Custom indicator initialization function                         |

//+------------------------------------------------------------------+

int OnInit()

  {

//--- indicator buffers mapping

   SetIndexBuffer(0,valu,INDICATOR_DATA);

   SetIndexBuffer(1,vald,INDICATOR_DATA);

   SetIndexBuffer(2,valc,INDICATOR_COLOR_INDEX);

   SetIndexBuffer(3,prices,INDICATOR_CALCULATIONS);

//---

   IndicatorSetString(INDICATOR_SHORTNAME,"nonlag trend ("+(string)inpPeriod+")");

   return (INIT_SUCCEEDED);

  }

//+------------------------------------------------------------------+

//| Custom indicator de-initialization function                      |

//+------------------------------------------------------------------+

void OnDeinit(const int reason)

  {

  }

//+------------------------------------------------------------------+

//| Custom indicator iteration function                              |

//+------------------------------------------------------------------+

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[])

  {

   if(Bars(_Symbol,_Period)<rates_total) return(prev_calculated);

   int i=(int)MathMax(prev_calculated-1,0); for(; i<rates_total && !_StopFlag; i++)

     {

      prices[i]  = iNonLagMa(getPrice(inpPrice,open,close,high,low,i,rates_total),inpPeriod,i,rates_total);

      valu[i]    = high[i];

      vald[i]    = low[i];

      valc[i]    = (i>0) ? (prices[i] > prices[i-1]) ? 1 : (prices[i] < prices[i-1]) ? 2 :  valc[i-1] : 0;

     }

   return (i);

  }

//+------------------------------------------------------------------+

//| Custom functions                                                 |

//+------------------------------------------------------------------+

#define _length  0

#define _len     1

#define _weight  2

//

//---

//

double  nlmvalues[][3];

double  nlmprices[][1];

double  nlmalphas[][1];

//

//---

//

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(int 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);

  }

//

//---

//

double getPrice(ENUM_APPLIED_PRICE tprice,const double &open[],const double &close[],const double &high[],const double &low[],int i,int _bars)

  {

   if(i>=0)

      switch(tprice)

        {

         case PRICE_CLOSE:     return(close[i]);

         case PRICE_OPEN:      return(open[i]);

         case PRICE_HIGH:      return(high[i]);

         case PRICE_LOW:       return(low[i]);

         case PRICE_MEDIAN:    return((high[i]+low[i])/2.0);

         case PRICE_TYPICAL:   return((high[i]+low[i]+close[i])/3.0);

         case PRICE_WEIGHTED:  return((high[i]+low[i]+close[i]+close[i])/4.0);

        }

   return(0);

  }

//+------------------------------------------------------------------+

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