by 
This indicator calculates the distribution of close-to-close percentage changes using rate of change on closing prices. It bins percentage changes into intervals of 0.25 percent increments from negative to positive values and plots a normalized cumulative hist
Indicator · Pine Script v6 · Own pane
I_vol
Plots a wide array of built-in Pine Script volatility calculations in a separate pane.
GitHub stars1on the repository
Pine versionv6current
Lines of code33
Settings0inputs
LicenceMIT
Last update5 days ago23 Oct 2026
Add It to Your TradingView Chart
- 1Copy the scriptPress Copy script above, or the copy button on the code below.
- 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
- 3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
- 4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.
Source Code
33 lines of Pine Script v6 from packages/golden/fixtures/indicator/v6/I_vol/source.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.
//@version=6
indicator("I_vol")
plot(bar_index, "bar_index")
plot(ta.tr, "tr_var")
plot(ta.tr(true), "tr_handle_na")
plot(ta.tr(false), "tr_no_handle")
plot(ta.atr(14), "atr14")
plot(ta.atr(1), "atr1")
plot(ta.atr(50), "atr50")
plot(ta.rma(ta.tr(true), 14), "rma14_tr")
plot(ta.stdev(close, 20), "stdev20")
plot(ta.stdev(close, 20, false), "stdev20_unbiased")
plot(ta.stdev(hl2, 10), "stdev10_hl2")
plot(ta.variance(close, 20), "variance20")
plot(ta.variance(close, 20, false), "variance20_unbiased")
plot(ta.dev(close, 20), "dev20")
[bbBasis, bbUpper, bbLower] = ta.bb(close, 20, 2)
plot(bbBasis, "bb_basis")
plot(bbUpper, "bb_upper")
plot(bbLower, "bb_lower")
plot(ta.bbw(close, 20, 2), "bbw")
plot(ta.bbw(close, 20, 2.5), "bbw_2p5")
[kcBasis, kcUpper, kcLower] = ta.kc(close, 20, 2)
plot(kcBasis, "kc_basis")
plot(kcUpper, "kc_upper")
plot(kcLower, "kc_lower")
[kcBasis2, kcUpper2, kcLower2] = ta.kc(close, 20, 2, false)
plot(kcUpper2, "kc_upper_no_tr")
plot(ta.kcw(close, 20, 2), "kcw")
[st, dir] = ta.supertrend(3, 10)
plot(st, "supertrend")
plot(dir, "supertrend_dir")
plot(ta.sar(0.02, 0.02, 0.2), "sar")
Overview
I_vol outputs true range variations, average true range across multiple periods, standard deviation, variance, mean absolute deviation, Bollinger Bands and Bollinger Bands Width, Keltner Channels, Supertrend values, and Parabolic SAR. Designed as a fixture indicator without custom user inputs or trade signals, it serves primarily to compute and display standard technical volatility metrics.
- Bollinger Bands and Bollinger Bands Width
- Keltner Channels and channel width calculations
- Average True Range across multiple lengths
- Supertrend values and Parabolic SAR metrics
Details
Published by
GammaExpansion on GitHub
Type
Indicator, Pine Script v6
Draws
Separate pane below the chart
Category
Volatility & bands
Markets
Any symbol
Timeframes
Any timeframe
Risk Notes
No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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