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UlcerIndex

Ulcer Index — Peter Martin's downside-only risk measure: the root-mean-square of recent drawdowns.

Quick reference

FieldValue
FamilyVolatility & Bands
Input typef64 (single close)
Output typef64
Output range[0, ∞) (percent)
Default parametersperiod = 14 (Python)
Warmup period2·period − 1
InterpretationDepth 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

NameTypeDefaultValid rangeDescription
periodusize14 (Python)>= 1Look-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:

rust
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_zero pins this).
  • Constant series. A flat series has no drawdown; the output is 0.0 (constant_series_yields_zero pins this).
  • Non-negative. The Ulcer Index is an RMS of real numbers and is never negative (output_is_non_negative pins this).
  • NaN / infinity inputs. Non-finite inputs are silently dropped.
  • Reset. ui.reset() clears both rolling windows and the sum.

Examples

Rust

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

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

javascript
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. Use StdDev for two-sided dispersion.
  • Forgetting the doubled warmup. Warmup is 2·period − 1, not period.

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