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//! Tail Ratio — the right tail (95th percentile) over the absolute left tail (5th percentile).
use std::collections::VecDeque;
use crate::error::{Error, Result};
use crate::traits::Indicator;
/// Tail Ratio over a trailing window of `period` returns.
///
/// ```text
/// TailRatio = P95(returns) / |P5(returns)|
/// ```
///
/// The Tail Ratio contrasts the magnitude of the best outcomes against the worst:
/// the 95th percentile of the return distribution divided by the absolute value of
/// the 5th percentile. A value above `1.0` means the right tail (upside surprises)
/// is fatter than the left tail (downside surprises); below `1.0` means crashes are
/// larger than rallies. It is a distribution-shape statistic, distinct from the
/// average-based [`SharpeRatio`](crate::SharpeRatio): two series with the same mean
/// and variance can have very different tail ratios.
///
/// Percentiles are computed by linear interpolation over the sorted window
/// (the same rule `NumPy` uses by default). A window whose 5th percentile is exactly
/// zero has no measurable left tail and the indicator reports `0.0` rather than
/// dividing by zero.
///
/// The first value lands after `period` returns; each `update` re-sorts the window
/// (O(period log period)), which is O(1) in the length of the overall series.
///
/// # Example
///
/// ```
/// use wickra_core::{Indicator, TailRatio};
///
/// let mut indicator = TailRatio::new(20).unwrap();
/// let mut last = None;
/// for i in 0..40 {
/// last = indicator.update((f64::from(i) * 0.3).sin() * 0.02);
/// }
/// assert!(last.is_some());
/// ```
#[derive(Debug, Clone)]
pub struct TailRatio {
period: usize,
window: VecDeque<f64>,
}
impl TailRatio {
/// Construct a Tail Ratio over `period` returns.
///
/// # Errors
///
/// Returns [`Error::InvalidPeriod`] if `period < 2` (percentiles need at least
/// two observations to interpolate).
pub fn new(period: usize) -> Result<Self> {
if period < 2 {
return Err(Error::InvalidPeriod {
message: "tail ratio needs period >= 2",
});
}
Ok(Self {
period,
window: VecDeque::with_capacity(period),
})
}
/// Configured window of returns.
pub const fn period(&self) -> usize {
self.period
}
fn compute(&self) -> f64 {
let mut sorted: Vec<f64> = self.window.iter().copied().collect();
sorted.sort_unstable_by(f64::total_cmp);
let upper = percentile(&sorted, 95.0);
let lower = percentile(&sorted, 5.0).abs();
if lower > 0.0 {
upper / lower
} else {
0.0
}
}
}
/// Linear-interpolation percentile of an ascending, non-empty slice.
fn percentile(sorted: &[f64], pct: f64) -> f64 {
let last_index = sorted.len() - 1;
#[allow(clippy::cast_precision_loss)]
let rank = pct / 100.0 * last_index as f64;
let floor = rank.floor();
// `rank` lies in `[0, last_index]`, so its floor is a valid in-bounds index.
#[allow(clippy::cast_possible_truncation, clippy::cast_sign_loss)]
let lower = floor as usize;
if lower >= last_index {
return sorted[last_index];
}
let frac = rank - floor;
sorted[lower] + frac * (sorted[lower + 1] - sorted[lower])
}
impl Indicator for TailRatio {
type Input = f64;
type Output = f64;
fn update(&mut self, ret: f64) -> Option<f64> {
if !ret.is_finite() {
return None;
}
if self.window.len() == self.period {
self.window.pop_front();
}
self.window.push_back(ret);
if self.window.len() < self.period {
return None;
}
Some(self.compute())
}
fn reset(&mut self) {
self.window.clear();
}
fn warmup_period(&self) -> usize {
self.period
}
fn is_ready(&self) -> bool {
self.window.len() == self.period
}
fn name(&self) -> &'static str {
"TailRatio"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::traits::BatchExt;
use approx::assert_relative_eq;
#[test]
fn rejects_period_less_than_two() {
assert!(matches!(
TailRatio::new(1),
Err(Error::InvalidPeriod { .. })
));
assert!(matches!(
TailRatio::new(0),
Err(Error::InvalidPeriod { .. })
));
}
#[test]
fn accessors_and_metadata() {
let tr = TailRatio::new(20).unwrap();
assert_eq!(tr.period(), 20);
assert_eq!(tr.warmup_period(), 20);
assert_eq!(tr.name(), "TailRatio");
assert!(!tr.is_ready());
}
#[test]
fn reference_value() {
// sorted window [-0.04, -0.02, 0.0, 0.02, 0.04], last_index = 4.
// P95: rank 3.8 -> 0.02 + 0.8*(0.04-0.02) = 0.036.
// P5: rank 0.2 -> -0.04 + 0.2*(0.02) = -0.036, abs 0.036.
// ratio = 0.036 / 0.036 = 1.0.
let mut tr = TailRatio::new(5).unwrap();
let out = tr.batch(&[-0.04, -0.02, 0.0, 0.02, 0.04]);
assert_relative_eq!(out[4].unwrap(), 1.0, epsilon = 1e-9);
}
#[test]
fn fatter_right_tail_exceeds_one() {
let mut tr = TailRatio::new(5).unwrap();
let out = tr.batch(&[-0.01, 0.0, 0.01, 0.02, 0.10]);
assert!(out[4].unwrap() > 1.0);
}
#[test]
fn flat_window_is_zero() {
let mut tr = TailRatio::new(4).unwrap();
let last = tr.batch(&[0.0; 4]).into_iter().flatten().last().unwrap();
assert_relative_eq!(last, 0.0, epsilon = 1e-12);
}
#[test]
fn ignores_non_finite_input() {
let mut tr = TailRatio::new(3).unwrap();
assert_eq!(tr.update(0.01), None);
assert_eq!(tr.update(f64::NAN), None);
assert_eq!(tr.update(0.02), None);
assert!(tr.update(0.03).is_some());
}
#[test]
fn reset_clears_state() {
let mut tr = TailRatio::new(3).unwrap();
tr.batch(&[-0.01, 0.0, 0.02]);
assert!(tr.is_ready());
tr.reset();
assert!(!tr.is_ready());
assert_eq!(tr.update(0.01), None);
}
#[test]
fn batch_equals_streaming() {
let rets: Vec<f64> = (0..60)
.map(|i| (f64::from(i) * 0.25).sin() * 0.02)
.collect();
let batch = TailRatio::new(15).unwrap().batch(&rets);
let mut streamer = TailRatio::new(15).unwrap();
let streamed: Vec<_> = rets.iter().map(|r| streamer.update(*r)).collect();
assert_eq!(batch, streamed);
}
#[test]
fn percentile_at_top_returns_last() {
// When the rank floor reaches the final index (the 100th percentile), the
// helper returns the largest element without interpolating past the end.
assert_relative_eq!(percentile(&[1.0, 2.0, 3.0], 100.0), 3.0, epsilon = 1e-12);
}
}