Variable Moving Average [LazyBear] — Indicator by LazyBear

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Variable Moving Average, often abbreviated as VMA, is an Exponential Moving Average developed by Tushar S. Chande. VMA automatically adjusts its smoothing constant on the basis of Market Volatility.

Use this like other Moving Averages. I have added the following options that can be enabled via options page:
- Trend Direction Indication: Green = Up trend, Blue = Potential congestion, Red = down trend.
- Color bars based on Trend

More info:

List of my other indicators:
- GDoc:
- Chart:

List of my free indicators: bit.ly/1LQaPK8
List of my indicators at Appstore: blog.tradingview.com/?p=970

Open-source script

In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in a publication is governed by House Rules. You can favorite it to use it on a chart.

Disclaimer

The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.

Want to use this script on a chart?

//
// @author LazyBear 
// List of all my indicators: 
// https://docs.google.com/document/d/15AGCufJZ8CIUvwFJ9W-IKns88gkWOKBCvByMEvm5MLo/edit?usp=sharing
// 
study(title="Variable Moving Average [LazyBear]", shorttitle="VMA_LB", overlay=true)
src=close
l =input(6, title="VMA Length") 
std=input(false, title="Show Trend Direction")
bc=input(false, title="Color bars based on Trend")
k = 1.0/l
pdm = max((src - src[1]), 0)
mdm = max((src[1] - src), 0)
pdmS = ((1 - k)*nz(pdmS[1]) + k*pdm)
mdmS = ((1 - k)*nz(mdmS[1]) + k*mdm)
s = pdmS + mdmS
pdi = pdmS/s
mdi = mdmS/s
pdiS = ((1 - k)*nz(pdiS[1]) + k*pdi)
mdiS = ((1 - k)*nz(mdiS[1]) + k*mdi)
d = abs(pdiS - mdiS)
s1 = pdiS + mdiS
iS = ((1 - k)*nz(iS[1]) + k*d/s1)
hhv = highest(iS, l) 
llv = lowest(iS, l) 
d1 = hhv - llv
vI = (iS - llv)/d1
vma = (1 - k*vI)*nz(vma[1]) + k*vI*src
vmaC=(vma > vma[1]) ? green : (vma<vma[1]) ? red : (vma==vma[1]) ? blue : black 
plot(vma, color=std?vmaC:black, linewidth=3, title="VMA")
barcolor(bc?vmaC:na)