Tim Morris MA

Author: © mladen, 2018
Price Data Components
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Tim Morris MA
ÿþ//------------------------------------------------------------------

#property copyright "© mladen, 2018"

#property link      "mladenfx@gmail.com"

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

#property indicator_chart_window

#property indicator_buffers 4

#property indicator_plots   1

#property indicator_label1  "Tim Morris MA"

#property indicator_type1   DRAW_COLOR_LINE

#property indicator_color1  clrDarkGray,clrDeepPink,clrLimeGreen

#property indicator_width1  2

//--- input parameters

input int                Length    = 10;           // Inverse of driving coefficient (length)

input double             Damping   =  5;           // Smoothing percent

input double             Noise     = 30;           // Noise (in pips)

input ENUM_APPLIED_PRICE inpPrice  = PRICE_CLOSE;  // Price

//--- indicator buffers

double val[],valc[];

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

//| Custom indicator initialization function                         | 

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

int OnInit()

  {

//--- indicator buffers mapping

   SetIndexBuffer(0,val,INDICATOR_DATA);

   SetIndexBuffer(1,valc,INDICATOR_COLOR_INDEX);

//--- indicator short name assignment

   IndicatorSetString(INDICATOR_SHORTNAME,"Tim Morris MA ("+(string)Length+")");

//---

   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);

   double _noise = Noise*_Point*MathPow(10,_Digits%2);

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

     {

      val[i]=iTmSmooth(getPrice(inpPrice,open,close,high,low,i,rates_total),Damping,_noise,Length,i,rates_total);

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

     }

   return(rates_total);

  }

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

//| Custom functions                                                 |

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

double wrkTm[][3];

#define _price 0

#define _y1    1

#define _y2    2

//

//---

//

double iTmSmooth(double price, double damping, double noise, double length, int i, int bars)

{

   if (ArrayRange(wrkTm,0) != bars) ArrayResize(wrkTm,bars);

   if (length<=1) return(price);



   //

   //

   //

   //

   //



      wrkTm[i][_price] = price;



         double y1 = i>0 ? wrkTm[i-1][_y1] : 0;

         double y2 = i>0 ? wrkTm[i-1][_y2] : 0;

         

         double err = (wrkTm[i][_price]-2.0*y1+y2)/noise; 

         double drv = MathMax(MathMin((1.0/length)*err*err+(1.0/length)*MathAbs(err),0.5),0.0);

         double dmp = MathMax(MathMin((1.0/length)*MathAbs(y1-y2)/noise + damping/100.0,1.0),0.0);

         

         //

         //

         //

         //

         //

         

      double tmAvg  = y1 + noise*err*drv + (y1-y2)*(1.0-dmp);

      wrkTm[i][_y1] = tmAvg;

      wrkTm[i][_y2] = y1;

      return(tmAvg);

      #undef _price

      #undef _y1

      #undef _y2

}   

//

//---

//

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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