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//! Generalized DEMA (GD) — Tim Tillson's volume-factor double EMA.
use crate::error::{Error, Result};
use crate::indicators::ema::Ema;
use crate::traits::Indicator;
/// Generalized DEMA — the building block of Tillson's [`T3`](crate::T3),
/// exposed on its own.
///
/// ```text
/// GD = (1 + v) · EMA(price) − v · EMA(EMA(price))
/// ```
///
/// where both EMAs share the same `period` and `v ∈ [0, 1]` is the *volume
/// factor*. `v` controls how much of the second-order lag correction is
/// applied:
///
/// - `v = 0` collapses GD to a plain [`Ema`](crate::Ema) (no correction).
/// - `v = 1` recovers the standard [`Dema`](crate::Dema) `2·EMA − EMA(EMA)`.
/// - intermediate values (Tillson uses `0.7`) trade a little lag reduction for
/// less overshoot than DEMA.
///
/// Because the coefficients `(1 + v)` and `−v` always sum to `1`, a constant
/// series maps to itself. The first output lands after `2·period − 1` inputs —
/// EMA1 seeds at `period`, then EMA2 needs another `period − 1` of EMA1's
/// outputs to seed, exactly like DEMA.
///
/// # Example
///
/// ```
/// use wickra_core::{Indicator, GeneralizedDema};
///
/// let mut indicator = GeneralizedDema::new(5, 0.7).unwrap();
/// let mut last = None;
/// for i in 0..80 {
/// last = indicator.update(100.0 + f64::from(i));
/// }
/// assert!(last.is_some());
/// ```
#[derive(Debug, Clone)]
pub struct GeneralizedDema {
ema1: Ema,
ema2: Ema,
period: usize,
v: f64,
}
impl GeneralizedDema {
/// Construct a generalized DEMA with the given `period` and volume factor
/// `v`.
///
/// # Errors
///
/// Returns [`Error::PeriodZero`] if `period == 0`, or
/// [`Error::InvalidPeriod`] if `v` is non-finite or outside `[0.0, 1.0]`.
pub fn new(period: usize, v: f64) -> Result<Self> {
if period == 0 {
return Err(Error::PeriodZero);
}
if !v.is_finite() || !(0.0..=1.0).contains(&v) {
return Err(Error::InvalidPeriod {
message: "GD volume factor must be a finite value in [0.0, 1.0]",
});
}
Ok(Self {
ema1: Ema::new(period)?,
ema2: Ema::new(period)?,
period,
v,
})
}
/// Configured period.
pub const fn period(&self) -> usize {
self.period
}
/// Configured volume factor `v`.
pub const fn volume_factor(&self) -> f64 {
self.v
}
}
impl Indicator for GeneralizedDema {
type Input = f64;
type Output = f64;
fn update(&mut self, input: f64) -> Option<f64> {
let e1 = self.ema1.update(input)?;
let e2 = self.ema2.update(e1)?;
Some((1.0 + self.v) * e1 - self.v * e2)
}
fn reset(&mut self) {
self.ema1.reset();
self.ema2.reset();
}
fn warmup_period(&self) -> usize {
// EMA1 seeds at period, then EMA2 needs another (period - 1) values.
2 * self.period - 1
}
fn is_ready(&self) -> bool {
self.ema2.is_ready()
}
fn name(&self) -> &'static str {
"GD"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::indicators::Dema;
use crate::traits::BatchExt;
use approx::assert_relative_eq;
#[test]
fn rejects_zero_period() {
assert!(matches!(
GeneralizedDema::new(0, 0.7),
Err(Error::PeriodZero)
));
}
#[test]
fn rejects_invalid_volume_factor() {
assert!(matches!(
GeneralizedDema::new(5, -0.1),
Err(Error::InvalidPeriod { .. })
));
assert!(matches!(
GeneralizedDema::new(5, 1.5),
Err(Error::InvalidPeriod { .. })
));
assert!(matches!(
GeneralizedDema::new(5, f64::NAN),
Err(Error::InvalidPeriod { .. })
));
assert!(GeneralizedDema::new(5, 0.0).is_ok());
assert!(GeneralizedDema::new(5, 1.0).is_ok());
}
/// Cover the const accessors `period` + `volume_factor` and the
/// Indicator-impl `warmup_period` + `name`.
#[test]
fn accessors_and_metadata() {
let gd = GeneralizedDema::new(5, 0.7).unwrap();
assert_eq!(gd.period(), 5);
assert_relative_eq!(gd.volume_factor(), 0.7, epsilon = 1e-12);
// EMA1 seeds at 5, EMA2 needs another 4 -> 2*period - 1 = 9.
assert_eq!(gd.warmup_period(), 9);
assert_eq!(gd.name(), "GD");
}
#[test]
fn constant_series_yields_constant() {
let mut gd = GeneralizedDema::new(5, 0.7).unwrap();
let out = gd.batch(&[100.0_f64; 60]);
let last = out.iter().rev().flatten().next().unwrap();
assert_relative_eq!(*last, 100.0, epsilon = 1e-9);
}
#[test]
fn v_one_equals_dema() {
// GD with v = 1 is exactly the standard DEMA.
let prices: Vec<f64> = (1..=80)
.map(|i| (f64::from(i) * 0.3).sin() * 10.0 + 50.0)
.collect();
let mut gd = GeneralizedDema::new(7, 1.0).unwrap();
let mut dema = Dema::new(7).unwrap();
let gd_out = gd.batch(&prices);
let dema_out = dema.batch(&prices);
for (g, d) in gd_out.iter().zip(dema_out.iter()) {
assert_eq!(g.is_some(), d.is_some());
if let (Some(a), Some(b)) = (g, d) {
assert_relative_eq!(*a, *b, epsilon = 1e-9);
}
}
}
#[test]
fn v_zero_equals_ema() {
// GD with v = 0 is a plain EMA (no second-order correction).
let prices: Vec<f64> = (1..=60).map(|i| f64::from(i) * 0.5).collect();
let mut gd = GeneralizedDema::new(6, 0.0).unwrap();
let mut ema = Ema::new(6).unwrap();
let gd_out = gd.batch(&prices);
for (i, (g, p)) in gd_out.iter().zip(prices.iter()).enumerate() {
// GD(v=0) feeds EMA1 into EMA2 but outputs EMA1 alone (coefficient
// 1 on e1, 0 on e2); it is only ready once EMA2 is, so compare
// against a standalone EMA chained the same way.
let want = ema.update(*p).filter(|_| i + 1 >= gd.warmup_period());
if let (Some(a), Some(b)) = (g, want) {
assert_relative_eq!(*a, b, epsilon = 1e-9);
}
}
}
#[test]
fn batch_equals_streaming() {
let prices: Vec<f64> = (1..=80).map(|i| f64::from(i) * 0.5).collect();
let mut a = GeneralizedDema::new(7, 0.7).unwrap();
let mut b = GeneralizedDema::new(7, 0.7).unwrap();
assert_eq!(
a.batch(&prices),
prices.iter().map(|p| b.update(*p)).collect::<Vec<_>>()
);
}
#[test]
fn reset_clears_state() {
let mut gd = GeneralizedDema::new(5, 0.7).unwrap();
gd.batch(&(1..=50).map(f64::from).collect::<Vec<_>>());
assert!(gd.is_ready());
gd.reset();
assert!(!gd.is_ready());
assert_eq!(gd.update(1.0), None);
}
}