This indicator plots an ATR-based Chandelier Exit trailing stop on the price chart. It tracks a long stop under recent highs and a short stop above recent lows, then switches direction when price crosses the opposite stop. Buy and sell labels mark those flips.
Indicator · Pine Script v5 · On the chart
Average Bar Range Stats
This indicator calculates the current bar's high-minus-low range in points, excluding overnight gaps.
GitHub stars29on the repository
Pine versionv5runs as is
Lines of code36
Settings1inputs
LicenceMIT
Last update2 weeks ago14 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
36 lines of Pine Script v5 from indicators/Zen-Average-Bar-Range-Stats/Average_Bar_Range_Stats_v1_1_20260512.txt, published under MIT. Keep the author's credit and licence lines when you reuse it.
//@version=5
// =============================================================================
// Average Bar Range Stats v1.1 · 20260512
// =============================================================================
// Purpose: Computes three values for a Daily Range Distribution study and
// exposes them in the Data Window only. Nothing is rendered on the chart.
// Values are picked up by TradingView's "Export chart data" feature.
//
// Output columns (CSV export):
// - Range today's daily range (high - low), in points
// - Average Bar Range N-bar simple moving average of Range
// - Range / ABR Range divided by Average Bar Range
//
// Apply on the DAILY timeframe of any instrument.
//
// Notes:
// - Range = high - low (intraday range only). Gaps are NOT included.
// - The first N-1 bars have a blank Average Bar Range from the SMA warm-up.
// Drop these rows before analysis.
// =============================================================================
indicator("Average Bar Range Stats", overlay = true)
// --- Inputs ---
abr_length = input.int(8, title = "Average Bar Range Length", minval = 1, maxval = 200,
tooltip = "Number of bars in the simple moving average of daily range. Default 8.")
// --- Computations ---
rng = high - low
abr = ta.sma(rng, abr_length)
rng_over_abr = abr > 0 ? rng / abr : na
// --- Data-window-only output (invisible on chart, included in CSV export) ---
plot(rng, title = "Range", display = display.data_window)
plot(abr, title = "Average Bar Range", display = display.data_window)
plot(rng_over_abr, title = "Range / ABR", display = display.data_window)
Overview
Average Bar Range Stats then computes a simple moving average of that range over a user-set length and the ratio of the current range to that average. The length input defaults to eight bars and can run from one to two hundred. All three series are plotted only in the data window for chart-data export, so nothing is drawn on the price chart. It is intended for the daily timeframe of any instrument. The first bars stay blank while the average warms up.
- High-low bar range in points
- Simple moving average of range
- Range divided by average bar range
- Data-window plots for CSV export
- Adjustable average length from 1 to 200
Details
Published by
Zen-Tim on GitHub
Type
Indicator, Pine Script v5
Draws
On the price chart
Category
Volatility & bands
Markets
Any symbol
Timeframes
H4 and above
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.
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Average Bar Range Length | int | 8 | abr_length |
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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