Deepens the **Moving Averages** family with seven widely-used variants (396 → 403 indicators), the first batch of Part B (family deepening). All are scalar `f64 → f64`: | Indicator | Binding | Notes | |-----------|---------|-------| | `SineWeightedMa` | `SWMA` | symmetric half-cycle sine-weighted window | | `GeometricMa` | `GMA` | rolling geometric mean (log-space average) | | `Ehma` | `EHMA` | exponential Hull MA (Hull construction over EMAs) | | `MedianMa` | `MedianMA` | rolling median, robust to single outliers | | `AdaptiveLaguerreFilter` | `AdaptiveLaguerre` | Ehlers' adaptive Laguerre filter (median-of-normalised-error γ) | | `GeneralizedDema` | `GD` | Tillson's volume-factor double EMA; `v=1` is DEMA, `v=0` is EMA | | `HoltWinters` | `HoltWinters` | Holt's linear double exponential smoothing (level + trend) | LSMA was dropped from the planned set: it already ships as `LinearRegression` (TA-Lib `LINEARREG`, the rolling least-squares endpoint). The five single-period filters use the generated scalar macro bindings; `GeneralizedDema` (period, v) and `HoltWinters` (alpha, beta) use hand-written node/python bindings with the typed wasm macro (precedent `T3` / `Alma`). Full coverage: core modules with per-branch unit tests (100% intent), mod/lib catalogue, FAMILIES group + assert, README + docs counters, CHANGELOG, all three bindings (regenerated `index.d.ts` / `index.js`), fuzz drivers, and the python/node test registries. Local verification: `cargo test -p wickra-core` (lib 3255 + doc 361), `cargo clippy --workspace --all-targets --all-features -D warnings` clean, node `npm run build && npm test` (478), python `pytest` (791).
203 lines
6.4 KiB
Rust
203 lines
6.4 KiB
Rust
//! Exponential Hull Moving Average (EHMA).
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use crate::error::{Error, Result};
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use crate::indicators::ema::Ema;
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use crate::traits::Indicator;
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/// Exponential Hull Moving Average: the Hull construction built from EMAs
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/// instead of WMAs.
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///
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/// ```text
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/// EHMA = EMA( 2 · EMA(price, period/2) − EMA(price, period), round(sqrt(period)) )
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/// ```
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///
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/// Alan Hull's [`Hma`](crate::Hma) uses weighted moving averages; replacing them
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/// with exponential moving averages keeps the same lag-reduction trick — a fast
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/// half-length average minus a full-length one, smoothed over `sqrt(period)` —
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/// while inheriting the EMA's strictly recursive O(1) update and infinite
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/// (exponentially decaying) memory. The result is marginally smoother than the
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/// WMA-based Hull at the cost of a little more lag.
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///
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/// The half period is `(period / 2).max(1)` and the smoothing period is
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/// `round(sqrt(period)).max(1)`, matching the rounding used by [`Hma`].
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///
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/// # Example
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///
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/// ```
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/// use wickra_core::{Indicator, Ehma};
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///
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/// let mut indicator = Ehma::new(9).unwrap();
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/// let mut last = None;
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/// for i in 0..80 {
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/// last = indicator.update(100.0 + f64::from(i));
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/// }
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/// assert!(last.is_some());
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/// ```
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#[derive(Debug, Clone)]
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pub struct Ehma {
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period: usize,
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half_ema: Ema,
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full_ema: Ema,
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smooth_ema: Ema,
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}
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impl Ehma {
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/// # Errors
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/// Returns [`Error::PeriodZero`] if `period == 0`.
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pub fn new(period: usize) -> Result<Self> {
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if period == 0 {
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return Err(Error::PeriodZero);
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}
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let half = (period / 2).max(1);
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let smooth = (period as f64).sqrt().round() as usize;
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let smooth = smooth.max(1);
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Ok(Self {
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period,
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half_ema: Ema::new(half)?,
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full_ema: Ema::new(period)?,
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smooth_ema: Ema::new(smooth)?,
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})
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}
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/// Configured period.
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pub const fn period(&self) -> usize {
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self.period
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}
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}
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impl Indicator for Ehma {
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type Input = f64;
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type Output = f64;
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fn update(&mut self, input: f64) -> Option<f64> {
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// Feed both component EMAs on every input so they warm up in parallel;
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// gating the longer one behind the shorter would delay the first
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// emission past `warmup_period()`.
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let h = self.half_ema.update(input);
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let f = self.full_ema.update(input);
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let (h, f) = (h?, f?);
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let diff = 2.0 * h - f;
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self.smooth_ema.update(diff)
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}
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fn reset(&mut self) {
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self.half_ema.reset();
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self.full_ema.reset();
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self.smooth_ema.reset();
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}
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fn warmup_period(&self) -> usize {
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// full_ema seeds at `period`, then smooth_ema needs another
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// (round(sqrt(period)) - 1) values to seed.
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let sm = (self.period as f64).sqrt().round() as usize;
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self.period + sm.max(1) - 1
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}
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fn is_ready(&self) -> bool {
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self.smooth_ema.is_ready()
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}
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fn name(&self) -> &'static str {
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"EHMA"
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use crate::traits::BatchExt;
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use approx::assert_relative_eq;
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#[test]
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fn constant_series_yields_constant_ehma() {
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let mut ehma = Ehma::new(9).unwrap();
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let out = ehma.batch(&[10.0_f64; 80]);
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let last = out.iter().rev().flatten().next().unwrap();
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assert_relative_eq!(*last, 10.0, epsilon = 1e-9);
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}
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#[test]
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fn batch_equals_streaming() {
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let prices: Vec<f64> = (1..=100).map(|i| f64::from(i) * 0.7).collect();
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let mut a = Ehma::new(9).unwrap();
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let mut b = Ehma::new(9).unwrap();
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assert_eq!(
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a.batch(&prices),
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prices.iter().map(|p| b.update(*p)).collect::<Vec<_>>()
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);
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}
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#[test]
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fn reset_clears_state() {
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let mut ehma = Ehma::new(9).unwrap();
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ehma.batch(&(1..=80).map(f64::from).collect::<Vec<_>>());
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assert!(ehma.is_ready());
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ehma.reset();
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assert!(!ehma.is_ready());
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}
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#[test]
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fn rejects_zero_period() {
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assert!(Ehma::new(0).is_err());
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}
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/// Cover the const accessor `period` and the Indicator-impl `name`.
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/// `warmup_period` is covered by `first_emission_matches_warmup_period`.
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#[test]
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fn accessors_and_metadata() {
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let ehma = Ehma::new(9).unwrap();
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assert_eq!(ehma.period(), 9);
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assert_eq!(ehma.name(), "EHMA");
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}
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#[test]
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fn first_emission_matches_warmup_period() {
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let prices: Vec<f64> = (1..=40).map(f64::from).collect();
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let mut ehma = Ehma::new(9).unwrap();
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let out = ehma.batch(&prices);
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let warmup = ehma.warmup_period();
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// full EMA seeds at 9, smooth EMA round(sqrt(9))=3 needs 2 more -> 11.
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assert_eq!(warmup, 11);
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for (i, v) in out.iter().enumerate().take(warmup - 1) {
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assert!(v.is_none(), "index {i} must be None during warmup");
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}
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assert!(
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out[warmup - 1].is_some(),
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"first EHMA value must land at warmup_period - 1"
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);
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}
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#[test]
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fn matches_independent_emas() {
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// The two component EMAs run as independent siblings on the price
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// stream; EHMA must equal feeding three standalone EMAs and combining.
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let prices: Vec<f64> = (1..=50)
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.map(|i| (f64::from(i) * 0.3).sin() * 10.0 + 50.0)
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.collect();
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let mut ehma = Ehma::new(9).unwrap();
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let mut half = Ema::new(4).unwrap(); // (9 / 2).max(1)
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let mut full = Ema::new(9).unwrap();
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let mut smooth = Ema::new(3).unwrap(); // round(sqrt(9))
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for (i, &p) in prices.iter().enumerate() {
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let got = ehma.update(p);
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let want = match (half.update(p), full.update(p)) {
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(Some(h), Some(f)) => smooth.update(2.0 * h - f),
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_ => None,
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};
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assert_eq!(got.is_some(), want.is_some(), "readiness mismatch at {i}");
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if let (Some(a), Some(b)) = (got, want) {
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assert_relative_eq!(a, b, epsilon = 1e-9);
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}
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}
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}
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#[test]
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fn period_one_collapses_to_pass_through() {
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// period 1: half=1, full=1, smooth=round(sqrt(1))=1; every EMA seeds on
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// the first input, so EHMA(1) passes the price straight through.
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let mut ehma = Ehma::new(1).unwrap();
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assert_relative_eq!(ehma.update(5.0).unwrap(), 5.0, epsilon = 1e-12);
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assert_relative_eq!(ehma.update(8.0).unwrap(), 8.0, epsilon = 1e-12);
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}
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}
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