Digital_CCI_Woodies_v2

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Digital_CCI_Woodies_v2

This script functions as a technical analysis tool designed to provide traders with a clearer view of market momentum and price deviations. It specifically utilizes two different settings of the Commodity Channel Index (CCI), which is an oscillator used to identify whether an asset is overbought, oversold, or trending in a particular direction.

By combining these calculations, the script offers a multi-layered approach to analyzing price action through the following logical steps:

Dual-Timeframe Analysis

The logic processes two distinct data streams simultaneously using different "Periods" (defaulting to 14 and 6). This allows the user to observe both short-term market "noise" and longer-term structural trends at a single glance. Each period calculates its own unique movement patterns, helping to differentiate between immediate price swings and broader market shifts.

Sophisticated Moving Averages

Unlike standard moving averages that weight all prices in a window equally, this script employs a sophisticated weighting system. It assigns specific mathematical coefficients to different historical closing prices. This ensures that the "average" calculated by the tool is more responsive to recent data while still maintaining a weighted memory of past price action, leading to a smoother and more accurate representation of the price trend.

Deviation and Relative Position

For each of the two periods, the script performs three core internal calculations:

  1. Movement Tracking: It establishes the baseline average price based on the weighted logic mentioned above.
  2. Relative Distance: It measures how far the current price has drifted away from that established average.
  3. Standard Deviation (Volatility): It calculates the "spread" or volatility of the price during those periods. This is crucial because it helps the tool understand whether a price move is significant relative to the asset's normal behavior.

Final CCI Calculation

The final output displayed on your chart is a ratio. The script takes the Relative Distance (how far the price moved) and divides it by the Standard Deviation (how much it normally moves).

This result gives you a normalized value:

  • If the resulting number is high, it indicates the price has moved significantly further than usual in one direction (potential overbought/oversold territory).
  • If the number is low or near zero, it suggests the price is hugging its average, indicating a period of consolidation or equilibrium.

By displaying both the 14-period and 6-period versions of this calculation, the script enables you to see where short-term momentum aligns with—or conflicts with—longer-term trends.

Miscellaneous
Implements a curve of type %1
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Digital_CCI_Woodies_v2 
//+------------------------------------------------------------------+
//|                                                          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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StepChoppy_v1[1].3

This indicator categorizes market dynamics into eight distinct states by synthesizing Step Moving Averages with multi-layered RSI momentum crossovers to identify trend strength, retracements, and volatility shifts.

CCI_MA

This indicator quantifies price deviation from a customizable moving average—including SMA, EMA, SMMA, LWMA, and LSMA variants—by normalizing the relative distance against standard deviation units.

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

This indicator calculates price boundaries by blending historical daily range averages with real-time expansion of volatility using Standard Deviation or ATR metrics.

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