UlcerIndex
Ulcer Index — Peter Martin's downside-only risk measure: the root-mean-square of recent drawdowns.
Quick reference
| Field | Value |
|---|---|
| Family | Volatility & Bands |
| Input type | f64 (single close) |
| Output type | f64 |
| Output range | [0, ∞) (percent) |
| Default parameters | period = 14 (Python) |
| Warmup period | 2·period − 1 |
| Interpretation | Depth and duration of drawdowns; 0 means no drawdown at all. |
Formula
max_t = highest price over the trailing `period` bars
drawdown_t = 100 · (price_t − max_t) / max_t
UlcerIndex = √( mean( drawdown² over period ) )Standard deviation treats an up-move and a down-move as equally "volatile". The Ulcer Index measures only the pain of being underwater: for each bar it takes the percentage drop from the trailing high, squares it, and reports the root-mean-square. A market that only rises has no drawdown and an Ulcer Index of 0; the deeper and longer the drawdowns, the higher the reading. It is the volatility term in the Martin ratio (Ulcer Performance Index).
Parameters
| Name | Type | Default | Valid range | Description |
|---|---|---|---|---|
period | usize | 14 (Python) | >= 1 | Look-back for both the trailing high and the RMS window. 0 errors with Error::PeriodZero. |
The Python binding defaults period to 14.
Inputs / Outputs
From crates/wickra-core/src/indicators/ulcer_index.rs:
use wickra::{Indicator, UlcerIndex};
// UlcerIndex: Input = f64, Output = f64
const _: fn(&mut UlcerIndex, f64) -> Option<f64> = <UlcerIndex as Indicator>::update;A single f64 close in, an Option<f64> out. Python maps this to float | None / numpy.ndarray (NaN warmup); Node to number | null / Array<number> (NaN warmup).
Warmup
UlcerIndex::new(period).warmup_period() == 2·period − 1. The first period prices fill the trailing-maximum window; the per-bar squared drawdown then needs another period − 1 bars to fill the RMS window.
Edge cases
- Pure up-trend. Price never trades below its own running high, so every drawdown — and the Ulcer Index — is
0(pure_uptrend_yields_zeropins this). - Constant series. A flat series has no drawdown; the output is
0.0(constant_series_yields_zeropins this). - Non-negative. The Ulcer Index is an RMS of real numbers and is never negative (
output_is_non_negativepins this). - NaN / infinity inputs. Non-finite inputs are silently dropped.
- Reset.
ui.reset()clears both rolling windows and the sum.
Examples
Rust
use wickra::{BatchExt, Indicator, UlcerIndex};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let mut ui = UlcerIndex::new(2)?;
let out: Vec<Option<f64>> = ui.batch(&[10.0, 8.0, 12.0, 9.0]);
println!("{:?}", out);
Ok(())
}Output:
[None, None, Some(14.142135623730951), Some(17.67766952966369)]UlcerIndex(2) warms up after 3 bars. At bar 3 the squared drawdowns in the window are [400, 0], so the index is √(400/2) = √200. At bar 4 they are [0, 625], giving √(625/2) = √312.5. This matches the reference_values test in crates/wickra-core/src/indicators/ulcer_index.rs.
Python
import numpy as np
import wickra as ta
ui = ta.UlcerIndex(2)
print(ui.batch(np.array([10.0, 8.0, 12.0, 9.0])))Output:
[ nan nan 14.1421356 17.6776695]Node
const ta = require('wickra');
const ui = new ta.UlcerIndex(2);
console.log(ui.batch([10, 8, 12, 9]));Output:
[ NaN, NaN, 14.142135623730951, 17.67766952966369 ]Interpretation
UlcerIndex answers "how uncomfortable has holding this been?" — a high reading means deep or prolonged drawdowns, a low reading means a smooth ride up. It is most useful for comparing instruments or strategies on a downside-risk basis, and as the denominator of the Ulcer Performance Index ((return − risk-free) / UlcerIndex), a Sharpe-ratio analogue that penalises only downside volatility.
Common pitfalls
- Reading it as two-sided volatility. The Ulcer Index ignores upside entirely — a wildly choppy up-trend can still score near
0. UseStdDevfor two-sided dispersion. - Forgetting the doubled warmup. Warmup is
2·period − 1, notperiod.
References
Peter Martin and Byron McCann, The Investor's Guide to Fidelity Funds (1989); the index is also documented at StockCharts. The trailing-high drawdown RMS here follows that definition.
See also
- Indicator-StdDev — two-sided dispersion.
- Indicator-Atr — per-bar range volatility.
- Indicators-Overview — the full taxonomy.