Digital_CCI_Woodies

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Digital_CCI_Woodies

This script is a sophisticated technical analysis tool designed for the MetaTrader platform. It utilizes a specific mathematical approach to identify price momentum and volatility by calculating a modified Commodity Channel Index (CCI).

Instead of using standard moving averages, this script employs a "Digital Filter" logic. Here is a breakdown of how it functions in non-technical terms:

Core Logic Overview

The tool operates by analyzing two different timeframes simultaneously (defined by the CCIPeriod and CCIPeriod2 settings). It processes market data to determine how much the current price is deviating from its "normal" expected path, while filtering out minor market noise.

Key Components of the Calculation

1. Weighted Price Filtering The script does not treat all recent price points equally. It applies a precise set of weights (coefficients) to the closing prices of the past 26 bars. This creates a specialized moving average where some historical data points have a higher impact on the current "average" than others. By using these specific weights, the indicator attempts to capture a more accurate trend line than a simple arithmetic average would provide.

2. Dual-Layer Analysis The script performs this entire calculation twice:

  • Primary Layer: Uses your main period setting (e.g., 14 bars) to show the broader market trend.
  • Secondary Layer: Uses a shorter period setting (e.g., 6 bars) to provide a faster, more sensitive look at immediate price action.

3. Volatility and Deviation Tracking To determine if a price move is significant, the script calculates the "Standard Deviation." It measures how far the current filtered price is straying from the calculated moving average. It then identifies the "Relative Distance"—the specific gap between where the price is now and where the filter says it should be based on recent history.

4. Final Indicator Output (The CCI) The final value you see on your chart is a ratio: it takes the Relative Distance and divides it by the Volatility.

  • When this number is high, it suggests the price is moving significantly further than usual in a specific direction.
  • When the number is low, it suggests the price is hovering closely around its average.

Summary for the User

In essence, this script acts as a "smart" momentum gauge. It looks at two different speeds of market movement and calculates how "extreme" the current price is relative to its recent history, using a digital filter to ensure that the resulting data is smooth and less prone to being misled by erratic, insignificant price flickers.

Miscellaneous
Implements a curve of type %1
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Digital_CCI_Woodies 
//+------------------------------------------------------------------+
//|                                                          CCI.mq4 |
//|                                              Ramdass programmed  |
//|                               Digital filter from Kenny-Goodman  |
//+------------------------------------------------------------------+



#property indicator_separate_window
#property indicator_buffers 2
#property indicator_color1 DodgerBlue
#property indicator_color2 Red
//---- input parameters
extern int CCIPeriod=14;
extern int CCIPeriod2=6;
//---- buffers
double CCIBuffer[];
double RelBuffer[];
double DevBuffer[];
double MovBuffer[];
double CCIBuffer2[];
double RelBuffer2[];
double DevBuffer2[];
double MovBuffer2[];
//+------------------------------------------------------------------+
//| Custom indicator initialization function                         |
//+------------------------------------------------------------------+
int init()
  {
   string short_name;
//---- 3 additional buffers are used for counting.
   IndicatorBuffers(8);
   SetIndexBuffer(2, RelBuffer);
   SetIndexBuffer(3, DevBuffer);
   SetIndexBuffer(4, MovBuffer);
   SetIndexBuffer(5, RelBuffer2);
   SetIndexBuffer(6, DevBuffer2);
   SetIndexBuffer(7, MovBuffer2);
//---- indicator lines
   SetIndexStyle(0,DRAW_LINE,STYLE_SOLID,2,SteelBlue);
   SetIndexBuffer(0,CCIBuffer);
   SetIndexStyle(1,DRAW_LINE,STYLE_SOLID,1,Red);
   SetIndexBuffer(1,CCIBuffer2);
//---- name for DataWindow and indicator subwindow label
   short_name="CCI("+CCIPeriod+")";
   IndicatorShortName(short_name);
   SetIndexLabel(0,short_name);
//----
   SetIndexDrawBegin(0,CCIPeriod);
   SetIndexDrawBegin(1,CCIPeriod2);
//----
   return(0);
  }
//+------------------------------------------------------------------+
//| Commodity Channel Index                                          |
//+------------------------------------------------------------------+
int start()
  {
   int    i,k,x,s,counted_bars=IndicatorCounted();
   double price,sum,mul;
   if(Bars<=CCIPeriod) return(0);
//---- initial zero
   if(counted_bars<1)
     {
      for(i=1;i<=CCIPeriod;i++) CCIBuffer[Bars-i]=0.0;
      for(i=1;i<=CCIPeriod;i++) DevBuffer[Bars-i]=0.0;
      for(i=1;i<=CCIPeriod;i++) MovBuffer[Bars-i]=0.0;
      for(i=1;i<=CCIPeriod2;i++) CCIBuffer2[Bars-i]=0.0;
      for(i=1;i<=CCIPeriod2;i++) DevBuffer2[Bars-i]=0.0;
      for(i=1;i<=CCIPeriod2;i++) MovBuffer2[Bars-i]=0.0;
     }
//---- last counted bar will be recounted
   int limit=Bars-counted_bars;
   if(counted_bars>0) limit++;
//---- moving average

   sum=0;
   int    pos=Bars-counted_bars-1;
//---- initial accumulation
   if(pos<CCIPeriod) pos=CCIPeriod;
   for(i=1;i<CCIPeriod;i++,pos--)
      sum+=0.225654509516691*Close[pos+0]
         +0.219241264585139*Close[pos+1]
         +0.200688479689899*Close[pos+2]
         +0.171992513765923*Close[pos+3]
         +0.136270408129286*Close[pos+4]
         +0.0971644469103302*Close[pos+5]
         +0.0585064796603445*Close[pos+6]
         +0.0237448140297671*Close[pos+7]
         -0.00442869436477854*Close[pos+8]
         -0.0243636783229045*Close[pos+9]
         -0.0355617365834807*Close[pos+10]
         -0.0386306817434228*Close[pos+11]
         -0.0350564564449243*Close[pos+12]
         -0.0268963490805002*Close[pos+13]
         -0.0164157887033052*Close[pos+14]
         -0.00573862260748731*Close[pos+15]
         +0.00342620684434*Close[pos+16]
         +0.00996574022237624*Close[pos+17]
         +0.0134223280887248*Close[pos+18]
         +0.0139394004237978*Close[pos+19]
         +0.0121149938483286*Close[pos+20]
         +0.00883315067608292*Close[pos+21]
         +0.0050235681107559*Close[pos+22]
         +0.00151954406404245*Close[pos+23]
         -0.00108567173532015*Close[pos+24]
         -0.0133301689797048*Close[pos+25];
//---- main calculation loop
   while(pos>=0)
     {
      sum+=0.225654509516691*Close[pos+0]
         +0.219241264585139*Close[pos+1]
         +0.200688479689899*Close[pos+2]
         +0.171992513765923*Close[pos+3]
         +0.136270408129286*Close[pos+4]
         +0.0971644469103302*Close[pos+5]
         +0.0585064796603445*Close[pos+6]
         +0.0237448140297671*Close[pos+7]
         -0.00442869436477854*Close[pos+8]
         -0.0243636783229045*Close[pos+9]
         -0.0355617365834807*Close[pos+10]
         -0.0386306817434228*Close[pos+11]
         -0.0350564564449243*Close[pos+12]
         -0.0268963490805002*Close[pos+13]
         -0.0164157887033052*Close[pos+14]
         -0.00573862260748731*Close[pos+15]
         +0.00342620684434*Close[pos+16]
         +0.00996574022237624*Close[pos+17]
         +0.0134223280887248*Close[pos+18]
         +0.0139394004237978*Close[pos+19]
         +0.0121149938483286*Close[pos+20]
         +0.00883315067608292*Close[pos+21]
         +0.0050235681107559*Close[pos+22]
         +0.00151954406404245*Close[pos+23]
         -0.00108567173532015*Close[pos+24]
         -0.0133301689797048*Close[pos+25];
      MovBuffer[pos]=sum/CCIPeriod;
	   sum-=0.225654509516691*Close[pos+CCIPeriod-1+0]
         +0.219241264585139*Close[pos+CCIPeriod-1+1]
         +0.200688479689899*Close[pos+CCIPeriod-1+2]
         +0.171992513765923*Close[pos+CCIPeriod-1+3]
         +0.136270408129286*Close[pos+CCIPeriod-1+4]
         +0.0971644469103302*Close[pos+CCIPeriod-1+5]
         +0.0585064796603445*Close[pos+CCIPeriod-1+6]
         +0.0237448140297671*Close[pos+CCIPeriod-1+7]
         -0.00442869436477854*Close[pos+CCIPeriod-1+8]
         -0.0243636783229045*Close[pos+CCIPeriod-1+9]
         -0.0355617365834807*Close[pos+CCIPeriod-1+10]
         -0.0386306817434228*Close[pos+CCIPeriod-1+11]
         -0.0350564564449243*Close[pos+CCIPeriod-1+12]
         -0.0268963490805002*Close[pos+CCIPeriod-1+13]
         -0.0164157887033052*Close[pos+CCIPeriod-1+14]
         -0.00573862260748731*Close[pos+CCIPeriod-1+15]
         +0.00342620684434*Close[pos+CCIPeriod-1+16]
         +0.00996574022237624*Close[pos+CCIPeriod-1+17]
         +0.0134223280887248*Close[pos+CCIPeriod-1+18]
         +0.0139394004237978*Close[pos+CCIPeriod-1+19]
         +0.0121149938483286*Close[pos+CCIPeriod-1+20]
         +0.00883315067608292*Close[pos+CCIPeriod-1+21]
         +0.0050235681107559*Close[pos+CCIPeriod-1+22]
         +0.00151954406404245*Close[pos+CCIPeriod-1+23]
         -0.00108567173532015*Close[pos+CCIPeriod-1+24]
         -0.0133301689797048*Close[pos+CCIPeriod-1+25];
 	   pos--;
     }
      
//---- moving average2
  
   sum=0;
   pos=Bars-counted_bars-1;
//---- initial accumulation
   if(pos<CCIPeriod2) pos=CCIPeriod2;
   for(i=1;i<CCIPeriod2;i++,pos--)
      sum+=0.225654509516691*Close[pos+0]
         +0.219241264585139*Close[pos+1]
         +0.200688479689899*Close[pos+2]
         +0.171992513765923*Close[pos+3]
         +0.136270408129286*Close[pos+4]
         +0.0971644469103302*Close[pos+5]
         +0.0585064796603445*Close[pos+6]
         +0.0237448140297671*Close[pos+7]
         -0.00442869436477854*Close[pos+8]
         -0.0243636783229045*Close[pos+9]
         -0.0355617365834807*Close[pos+10]
         -0.0386306817434228*Close[pos+11]
         -0.0350564564449243*Close[pos+12]
         -0.0268963490805002*Close[pos+13]
         -0.0164157887033052*Close[pos+14]
         -0.00573862260748731*Close[pos+15]
         +0.00342620684434*Close[pos+16]
         +0.00996574022237624*Close[pos+17]
         +0.0134223280887248*Close[pos+18]
         +0.0139394004237978*Close[pos+19]
         +0.0121149938483286*Close[pos+20]
         +0.00883315067608292*Close[pos+21]
         +0.0050235681107559*Close[pos+22]
         +0.00151954406404245*Close[pos+23]
         -0.00108567173532015*Close[pos+24]
         -0.0133301689797048*Close[pos+25];
//---- main calculation loop
   while(pos>=0)
     {
      sum+=0.225654509516691*Close[pos+0]
         +0.219241264585139*Close[pos+1]
         +0.200688479689899*Close[pos+2]
         +0.171992513765923*Close[pos+3]
         +0.136270408129286*Close[pos+4]
         +0.0971644469103302*Close[pos+5]
         +0.0585064796603445*Close[pos+6]
         +0.0237448140297671*Close[pos+7]
         -0.00442869436477854*Close[pos+8]
         -0.0243636783229045*Close[pos+9]
         -0.0355617365834807*Close[pos+10]
         -0.0386306817434228*Close[pos+11]
         -0.0350564564449243*Close[pos+12]
         -0.0268963490805002*Close[pos+13]
         -0.0164157887033052*Close[pos+14]
         -0.00573862260748731*Close[pos+15]
         +0.00342620684434*Close[pos+16]
         +0.00996574022237624*Close[pos+17]
         +0.0134223280887248*Close[pos+18]
         +0.0139394004237978*Close[pos+19]
         +0.0121149938483286*Close[pos+20]
         +0.00883315067608292*Close[pos+21]
         +0.0050235681107559*Close[pos+22]
         +0.00151954406404245*Close[pos+23]
         -0.00108567173532015*Close[pos+24]
         -0.0133301689797048*Close[pos+25];
      MovBuffer2[pos]=sum/CCIPeriod2;
	   sum-=0.225654509516691*Close[pos+CCIPeriod2-1+0]
         +0.219241264585139*Close[pos+CCIPeriod2-1+1]
         +0.200688479689899*Close[pos+CCIPeriod2-1+2]
         +0.171992513765923*Close[pos+CCIPeriod2-1+3]
         +0.136270408129286*Close[pos+CCIPeriod2-1+4]
         +0.0971644469103302*Close[pos+CCIPeriod2-1+5]
         +0.0585064796603445*Close[pos+CCIPeriod2-1+6]
         +0.0237448140297671*Close[pos+CCIPeriod2-1+7]
         -0.00442869436477854*Close[pos+CCIPeriod2-1+8]
         -0.0243636783229045*Close[pos+CCIPeriod2-1+9]
         -0.0355617365834807*Close[pos+CCIPeriod2-1+10]
         -0.0386306817434228*Close[pos+CCIPeriod2-1+11]
         -0.0350564564449243*Close[pos+CCIPeriod2-1+12]
         -0.0268963490805002*Close[pos+CCIPeriod2-1+13]
         -0.0164157887033052*Close[pos+CCIPeriod2-1+14]
         -0.00573862260748731*Close[pos+CCIPeriod2-1+15]
         +0.00342620684434*Close[pos+CCIPeriod2-1+16]
         +0.00996574022237624*Close[pos+CCIPeriod2-1+17]
         +0.0134223280887248*Close[pos+CCIPeriod2-1+18]
         +0.0139394004237978*Close[pos+CCIPeriod2-1+19]
         +0.0121149938483286*Close[pos+CCIPeriod2-1+20]
         +0.00883315067608292*Close[pos+CCIPeriod2-1+21]
         +0.0050235681107559*Close[pos+CCIPeriod2-1+22]
         +0.00151954406404245*Close[pos+CCIPeriod2-1+23]
         -0.00108567173532015*Close[pos+CCIPeriod2-1+24]
         -0.0133301689797048*Close[pos+CCIPeriod2-1+25];
 	   pos--;
     }
      
      
//---- standard deviations
   i=Bars-CCIPeriod+1;
   if(counted_bars>CCIPeriod-1) i=Bars-counted_bars-1;
   mul=0.015/CCIPeriod;
   while(i>=0)
     {
      sum=0.0;
      k=i+CCIPeriod-1;
      while(k>=i)
       {
         price=0.225654509516691*Close[k+0]
         +0.219241264585139*Close[k+1]
         +0.200688479689899*Close[k+2]
         +0.171992513765923*Close[k+3]
         +0.136270408129286*Close[k+4]
         +0.0971644469103302*Close[k+5]
         +0.0585064796603445*Close[k+6]
         +0.0237448140297671*Close[k+7]
         -0.00442869436477854*Close[k+8]
         -0.0243636783229045*Close[k+9]
         -0.0355617365834807*Close[k+10]
         -0.0386306817434228*Close[k+11]
         -0.0350564564449243*Close[k+12]
         -0.0268963490805002*Close[k+13]
         -0.0164157887033052*Close[k+14]
         -0.00573862260748731*Close[k+15]
         +0.00342620684434*Close[k+16]
         +0.00996574022237624*Close[k+17]
         +0.0134223280887248*Close[k+18]
         +0.0139394004237978*Close[k+19]
         +0.0121149938483286*Close[k+20]
         +0.00883315067608292*Close[k+21]
         +0.0050235681107559*Close[k+22]
         +0.00151954406404245*Close[k+23]
         -0.00108567173532015*Close[k+24]
         -0.0133301689797048*Close[k+25];
         sum+=MathAbs(price-MovBuffer[i]);
         k--;
       }
      DevBuffer[i]=sum*mul;
      i--;
     }
   i=Bars-CCIPeriod+1;
   if(counted_bars>CCIPeriod-1) i=Bars-counted_bars-1;
   while(i>=0)
     {
      price=0.225654509516691*Close[i+0]
         +0.219241264585139*Close[i+1]
         +0.200688479689899*Close[i+2]
         +0.171992513765923*Close[i+3]
         +0.136270408129286*Close[i+4]
         +0.0971644469103302*Close[i+5]
         +0.0585064796603445*Close[i+6]
         +0.0237448140297671*Close[i+7]
         -0.00442869436477854*Close[i+8]
         -0.0243636783229045*Close[i+9]
         -0.0355617365834807*Close[i+10]
         -0.0386306817434228*Close[i+11]
         -0.0350564564449243*Close[i+12]
         -0.0268963490805002*Close[i+13]
         -0.0164157887033052*Close[i+14]
         -0.00573862260748731*Close[i+15]
         +0.00342620684434*Close[i+16]
         +0.00996574022237624*Close[i+17]
         +0.0134223280887248*Close[i+18]
         +0.0139394004237978*Close[i+19]
         +0.0121149938483286*Close[i+20]
         +0.00883315067608292*Close[i+21]
         +0.0050235681107559*Close[i+22]
         +0.00151954406404245*Close[i+23]
         -0.00108567173532015*Close[i+24]
         -0.0133301689797048*Close[i+25];
      RelBuffer[i]=price-MovBuffer[i];
      i--;
     }
     
//---- standard deviations2
   i=Bars-CCIPeriod2+1;
   if(counted_bars>CCIPeriod2-1) i=Bars-counted_bars-1;
   mul=0.015/CCIPeriod2;
   while(i>=0)
     {
      sum=0.0;
      k=i+CCIPeriod2-1;
      while(k>=i)
       {
         price=0.225654509516691*Close[k+0]
         +0.219241264585139*Close[k+1]
         +0.200688479689899*Close[k+2]
         +0.171992513765923*Close[k+3]
         +0.136270408129286*Close[k+4]
         +0.0971644469103302*Close[k+5]
         +0.0585064796603445*Close[k+6]
         +0.0237448140297671*Close[k+7]
         -0.00442869436477854*Close[k+8]
         -0.0243636783229045*Close[k+9]
         -0.0355617365834807*Close[k+10]
         -0.0386306817434228*Close[k+11]
         -0.0350564564449243*Close[k+12]
         -0.0268963490805002*Close[k+13]
         -0.0164157887033052*Close[k+14]
         -0.00573862260748731*Close[k+15]
         +0.00342620684434*Close[k+16]
         +0.00996574022237624*Close[k+17]
         +0.0134223280887248*Close[k+18]
         +0.0139394004237978*Close[k+19]
         +0.0121149938483286*Close[k+20]
         +0.00883315067608292*Close[k+21]
         +0.0050235681107559*Close[k+22]
         +0.00151954406404245*Close[k+23]
         -0.00108567173532015*Close[k+24]
         -0.0133301689797048*Close[k+25];
         sum+=MathAbs(price-MovBuffer2[i]);
         k--;
       }
      DevBuffer2[i]=sum*mul;
      i--;
     }
   i=Bars-CCIPeriod2+1;
   if(counted_bars>CCIPeriod2-1) i=Bars-counted_bars-1;
   while(i>=0)
     {
      price=0.225654509516691*Close[i+0]
         +0.219241264585139*Close[i+1]
         +0.200688479689899*Close[i+2]
         +0.171992513765923*Close[i+3]
         +0.136270408129286*Close[i+4]
         +0.0971644469103302*Close[i+5]
         +0.0585064796603445*Close[i+6]
         +0.0237448140297671*Close[i+7]
         -0.00442869436477854*Close[i+8]
         -0.0243636783229045*Close[i+9]
         -0.0355617365834807*Close[i+10]
         -0.0386306817434228*Close[i+11]
         -0.0350564564449243*Close[i+12]
         -0.0268963490805002*Close[i+13]
         -0.0164157887033052*Close[i+14]
         -0.00573862260748731*Close[i+15]
         +0.00342620684434*Close[i+16]
         +0.00996574022237624*Close[i+17]
         +0.0134223280887248*Close[i+18]
         +0.0139394004237978*Close[i+19]
         +0.0121149938483286*Close[i+20]
         +0.00883315067608292*Close[i+21]
         +0.0050235681107559*Close[i+22]
         +0.00151954406404245*Close[i+23]
         -0.00108567173532015*Close[i+24]
         -0.0133301689797048*Close[i+25];
      RelBuffer2[i]=price-MovBuffer2[i];
      i--;
     }
          
//---- cci counting
   i=Bars-CCIPeriod+1;
   if(counted_bars>CCIPeriod-1) i=Bars-counted_bars-1;
   while(i>=0)
     {
      if(DevBuffer[i]==0.0) CCIBuffer[i]=0.0;
      else CCIBuffer[i]=RelBuffer[i]/DevBuffer[i];
      i--;
     }
     
//---- cci counting2
   i=Bars-CCIPeriod2+1;
   if(counted_bars>CCIPeriod2-1) i=Bars-counted_bars-1;
   while(i>=0)
     {
      if(DevBuffer2[i]==0.0) CCIBuffer2[i]=0.0;
      else CCIBuffer2[i]=RelBuffer2[i]/DevBuffer2[i];
      i--;
     }     
     
//----
   return(0);
  }
//+------------------------------------------------------------------+

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CCI_MA

hemnina

The indicator extracts and displays the closing prices of the most recent eleven candlesticks directly onto the chart's comment section.

Zee Zee i

This indicator calculates price variance relative to a simple moving average by dividing the current typical price deviation by its historical standard deviation, highlighting extreme momentum extremes.

dex_2Trales_V1

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