- Rust core: super_trend.rs (SuperTrend — ATR-banded trailing stop with
flip logic; SuperTrendOutput { value, direction }), chandelier_exit.rs
(Chandelier Exit — ATR stop hung off the window's highest high / lowest
low; ChandelierExitOutput { long_stop, short_stop }),
chande_kroll_stop.rs (Chande Kroll Stop — a two-stage ATR stop;
ChandeKrollStopOutput { stop_long, stop_short }), atr_trailing_stop.rs
(ATR Trailing Stop — a single ratcheting close-based stop). Each with a
full Indicator impl, runnable doctest and reference / property / warmup
/ reset / batch==streaming tests.
- Python: PySuperTrend / PyChandelierExit / PyChandeKrollStop /
PyAtrTrailingStop PyO3 classes (struct outputs as tuples and (n, 2)
arrays) + module registration + .pyi stubs.
- Node: explicit SuperTrendNode / ChandelierExitNode / ChandeKrollStopNode
/ AtrTrailingStopNode with SuperTrendValue / ChandelierExitValue /
ChandeKrollStopValue objects; index.d.ts and index.js updated.
- WASM: WasmSuperTrend / WasmChandelierExit / WasmChandeKrollStop /
WasmAtrTrailingStop.
- Wiki: Indicator-SuperTrend/ChandelierExit/ChandeKrollStop/
AtrTrailingStop.md plus rows in the "Trailing stop" table of
Indicators-Overview.md and entries in Home.md.
- Add clippy.toml with doc-valid-idents for the proper noun "LeBeau".
cargo fmt + clippy (core/wickra/data/wasm/node) clean; 427 core tests,
25 data tests and 61 doctests green.
5.1 KiB
ChandelierExit
Chandelier Exit — an ATR trailing stop hung a fixed number of ATRs off the highest high (for longs) or the lowest low (for shorts) of a window.
Quick reference
| Field | Value |
|---|---|
| Family | Volatility |
| Sub-category | Trailing stop |
| Input type | Candle (uses high, low, close) |
| Output type | (long_stop, short_stop) |
| Output range | unbounded (price scale) |
| Default parameters | period = 22, multiplier = 3.0 (Python) |
| Warmup period | period |
| Interpretation | Long/short trailing-stop levels; a close past one exits the trade. |
Formula
long_stop = highest_high(period) − multiplier · ATR(period)
short_stop = lowest_low(period) + multiplier · ATR(period)
Chuck LeBeau's Chandelier Exit hangs the stop off the extreme of the lookback
window — like a chandelier off a ceiling — a fixed multiplier · ATR below the
highest high (for a long) or above the lowest low (for a short). Because the
extreme only moves favourably while a trend runs, the stop trails price up
(or down) and never loosens. A long is exited when price closes below
long_stop; a short when it closes above short_stop. The classic
configuration is a 22-bar window with a 3.0 multiplier.
Parameters
period— the window for both the highest high / lowest low and the ATR (Python default22).multiplier— how many ATRs the stop hangs off the extreme (default3.0).
ChandelierExit::classic() returns the (22, 3.0) configuration.
Inputs / Outputs
From crates/wickra-core/src/indicators/chandelier_exit.rs:
impl Indicator for ChandelierExit {
type Input = Candle;
type Output = ChandelierExitOutput; // { long_stop: f64, short_stop: f64 }
// update(&mut self, input: Candle) -> Option<ChandelierExitOutput>
}
ChandelierExit is a candle-input indicator (it reads high, low,
close). Python's streaming update returns a (long_stop, short_stop)
tuple; the batch helper returns an (n, 2) array with columns
[long_stop, short_stop]. Node's update returns { longStop, shortStop }
and batch a flat [l0, s0, l1, s1, …] array; WASM matches Node.
Warmup
ChandelierExit::classic().warmup_period() == 22. The highest-high / lowest-low
window and the inner ATR become ready on the same candle — input index
period − 1.
Edge cases
- Window bound.
long_stopnever exceeds the window's highest high, andshort_stopnever drops below its lowest low (long_stop_below_highest_short_stop_above_lowestpins this). - Flat market. Constant candles give constant
ATRand equal extremes, so both stops sit a fixedmultiplier · ATRfrom the price. - Reset.
ce.reset()clears the ATR and both extreme windows.
Examples
Rust
use wickra::{BatchExt, Candle, Indicator, ChandelierExit};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let mut ce = ChandelierExit::new(5, 3.0)?;
// Flat market: ATR = 2, HH = 11, LL = 9.
let candles: Vec<Candle> = (0..20)
.map(|i| Candle::new(10.0, 11.0, 9.0, 10.0, 1.0, i).unwrap())
.collect();
let out = ce.batch(&candles);
println!("{:?}", out.last().unwrap());
Ok(())
}
Output:
Some(ChandelierExitOutput { long_stop: 5.0, short_stop: 15.0 })
long_stop = 11 − 3·2 = 5, short_stop = 9 + 3·2 = 15. This matches the
reference_values_flat_market test in
crates/wickra-core/src/indicators/chandelier_exit.rs.
Python
import numpy as np
import wickra as ta
ce = ta.ChandelierExit(5, 3.0)
n = 20
high = np.full(n, 11.0)
low = np.full(n, 9.0)
close = np.full(n, 10.0)
print(ce.batch(high, low, close)[-1]) # [long_stop, short_stop]
Output:
[ 5. 15.]
Node
const ta = require('wickra');
const ce = new ta.ChandelierExit(5, 3.0);
const n = 20;
const high = Array(n).fill(11), low = Array(n).fill(9), close = Array(n).fill(10);
const out = ce.batch(high, low, close);
console.log(out.slice(-2)); // [long_stop, short_stop] of the last bar
Output:
[ 5, 15 ]
Interpretation
While long, watch long_stop: it climbs as new highs print and never falls,
so a close beneath it is a disciplined exit. While short, short_stop is the
mirror. The 3.0 multiplier is wide enough to ride a trend through normal
pullbacks; tightening it exits sooner at the cost of more whipsaws.
Common pitfalls
- Using the wrong stop for the position.
long_stoponly applies to longs,short_stoponly to shorts — they are not a channel. - Feeding it scalar prices. It needs the full
high/low/closebar.
References
Chuck LeBeau's Chandelier Exit; the highest-high-minus-ATR formulation here matches the standard definition.
See also
- Indicator-SuperTrend.md — an ATR trailing stop with explicit flip logic and a single line.
- Indicator-ChandeKrollStop.md — a two-stage ATR stop that smooths the preliminary level.
- Indicator-Atr.md — the volatility measure underneath.
- Indicators-Overview.md — the full taxonomy.