volumeMA
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This script is designed for the MetaTrader 4 platform to provide traders with a visual representation of trading volume combined with various moving average calculations. Instead of looking at raw, jagged data, it organizes volume into a cleaner format that helps identify trends and shifts in market activity.
Core Functionality
The tool operates by analyzing the volume of trades occurring on each price bar and performing two primary actions:
1. Dynamic Volume Visualization (Color Coding) The script monitors whether current trading volume is increasing or decreasing compared to the previous period. It uses this logic to change the color of the volume bars on your chart:
- Red Bars: These appear when the volume is higher than the previous bar, potentially indicating a surge in activity.
- Green Bars: These appear when the volume is lower than the previous bar, suggesting a decrease in momentum or participation.
- Consistency Logic: If the volume remains exactly the same as the previous period, the script intelligently remembers the previous color to ensure the visual flow remains smooth and uninterrupted.
2. Customizable Moving Average Line In addition to the colored bars, the script calculates and draws a smoothed "Moving Average" line. This acts as a baseline to help you see the overall trend of the volume over time. The script is versatile because it allows you to choose from four different mathematical methods to calculate this average:
- Simple Moving Average (SMA): A standard average where all periods carry equal weight.
- Exponential Moving Average (EMA): Gives more importance to recent data, making it react faster to sudden changes.
- Smoothed Moving Average (SMMA): A slower, more balanced calculation that filters out "noise" for a very smooth line.
- Linear Weighted Moving Average (LWMA): Applies a linear weighting where the most recent data points have the highest impact on the current average.
How It Helps Traders
By combining these two elements—color-coded volume bars and a smoothed moving average line—the tool provides a dual perspective. The colors give you an immediate "at-a-glance" sense of whether momentum is accelerating or decelerating, while the moving average line helps you distinguish between temporary spikes and significant, long-term shifts in trading activity.
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volumeMA
//+------------------------------------------------------------------+
//| Volume with Custom Moving Average.mq4 |
//| Copyright © 2004, MetaQuotes Software Corp. |
//| http://www.metaquotes.net/ |
//+------------------------------------------------------------------+
#property copyright "Copyright © 2004, MetaQuotes Software Corp. Modified RonT"
#property link "http://www.metaquotes.net/"
#property indicator_separate_window
#property indicator_buffers 3
#property indicator_color1 Red
#property indicator_color2 Green
#property indicator_color3 White
// User input
extern int MA_Period=13;
extern int MA_Shift=0;
extern int MA_Method=0;
// Buffers
double VolBuffer1[]; // value down
double VolBuffer2[]; // value up
double VolBuffer3[]; // moving average
//----
int ExtCountedBars=0;
int lastcolor=0;
//+------------------------------------------------------------------+
//| Custom indicator initialization function |
//+------------------------------------------------------------------+
int init()
{
int draw_begin;
string short_name;
// indicator buffers mapping, drawing settings and Shift
// Histogram downArrow Red
SetIndexBuffer(0,VolBuffer1);
SetIndexStyle(0,DRAW_HISTOGRAM);
SetIndexShift(0,MA_Shift);
// Histogram upArrow Green
SetIndexBuffer(1,VolBuffer2);
SetIndexStyle(1,DRAW_HISTOGRAM);
SetIndexShift(1,MA_Shift);
// Moving average line white
SetIndexBuffer(2,VolBuffer3);
SetIndexStyle(2,DRAW_LINE);
SetIndexShift(2,MA_Shift);
IndicatorDigits(MarketInfo(Symbol(),MODE_DIGITS));
if(MA_Period<2) MA_Period=2;
draw_begin=MA_Period-1;
switch(MA_Method)
{
case 1 : short_name="EMA(" ; draw_begin=0; break;
case 2 : short_name="SMMA("; break;
case 3 : short_name="LWMA("; break;
default : short_name="SMA(" ; MA_Method=0;
}
IndicatorShortName(short_name+MA_Period+")");
SetIndexDrawBegin(0,draw_begin);
return(0);
}
//+------------------------------------------------------------------+
//| Main |
//+------------------------------------------------------------------+
int start()
{
if(Bars<=MA_Period) return(0);
ExtCountedBars=IndicatorCounted();
// check for possible errors
if (ExtCountedBars<0) return(-1);
// last counted bar will be recounted
if (ExtCountedBars>0) ExtCountedBars--;
switch(MA_Method)
{
case 0 : sma(); break;
case 1 : ema(); break;
case 2 : smma(); break;
case 3 : lwma();
}
return(0);
}
//+------------------------------------------------------------------+
//| Simple Moving Average |
//+------------------------------------------------------------------+
void sma()
{
double sum=0;
int i,pos=Bars-ExtCountedBars-1;
// initial accumulation
if(pos<MA_Period) pos=MA_Period;
for(i=1;i<MA_Period;i++,pos--)
sum+=Volume[pos];
while(pos>=0)
{
sum+=Volume[pos];
VolBuffer3[pos]=sum/MA_Period;
sum-=Volume[pos+MA_Period-1];
Vcolor(pos);
pos--;
}
// zero initial bars
if(ExtCountedBars<1)
for(i=1;i<MA_Period;i++) VolBuffer1[Bars-i]=0;
}
//+------------------------------------------------------------------+
//| Exponential Moving Average |
//+------------------------------------------------------------------+
void ema()
{
double pr=2.0/(MA_Period+1);
int pos=Bars-2;
if(ExtCountedBars>2) pos=Bars-ExtCountedBars-1;
while(pos>=0)
{
if(pos==Bars-2) VolBuffer3[pos+1]=Volume[pos+1];
VolBuffer3[pos]=Volume[pos]*pr+VolBuffer3[pos+1]*(1-pr);
Vcolor(pos);
pos--;
}
}
//+------------------------------------------------------------------+
//| Smoothed Moving Average |
//+------------------------------------------------------------------+
void smma()
{
double sum=0;
int i,k,pos=Bars-ExtCountedBars+1;
pos=Bars-MA_Period;
if(pos>Bars-ExtCountedBars) pos=Bars-ExtCountedBars;
while(pos>=0)
{
if(pos==Bars-MA_Period)
{
// initial accumulation
for(i=0,k=pos;i<MA_Period;i++,k++)
{
sum+=Volume[k];
// zero initial bars
VolBuffer3[k]=0;
}
}
else sum=VolBuffer3[pos+1]*(MA_Period-1)+Volume[pos];
VolBuffer3[pos]=sum/MA_Period;
pos--;
}
}
//+------------------------------------------------------------------+
//| Linear Weighted Moving Average |
//+------------------------------------------------------------------+
void lwma()
{
double sum=0.0,lsum=0.0;
double price;
int i,weight=0,pos=Bars-ExtCountedBars-1;
//---- initial accumulation
if(pos<MA_Period) pos=MA_Period;
for(i=1;i<=MA_Period;i++,pos--)
{
price=Volume[pos];
sum+=price*i;
lsum+=price;
weight+=i;
}
//---- main calculation loop
pos++;
i=pos+MA_Period;
while(pos>=0)
{
VolBuffer3[pos]=sum/weight;
if(pos==0) break;
pos--;
i--;
price=Volume[pos];
sum=sum-lsum+price*MA_Period;
lsum-=Volume[i];
lsum+=price;
}
//---- zero initial bars
if(ExtCountedBars<1)
for(i=1;i<MA_Period;i++) VolBuffer3[Bars-i]=0;
}
//+------------------------------------------------------------------+
//| Color depends on gain or loss and previous volume |
//+------------------------------------------------------------------+
// 1 - histo down red
// 2 - histo up green
// 3 - line white
void Vcolor(int p)
{
if (Volume[p+1]>Volume[p])
{
VolBuffer1[p]=Volume[p];
VolBuffer2[p]=0;
lastcolor=Red;
}
if (Volume[p+1]<Volume[p])
{
VolBuffer1[p]=0;
VolBuffer2[p]=Volume[p];
lastcolor=Green;
}
if (Volume[p+1]==Volume[p])
{
if ( lastcolor==Red )
{
VolBuffer1[p]=Volume[p];
VolBuffer2[p]=0;
}
if ( lastcolor==Green )
{
VolBuffer1[p]=0;
VolBuffer2[p]=Volume[p];
}
}
}
//+------------------------------------------------------------------+
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