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//! McClellan Oscillator — the spread between a fast and slow EMA of breadth.
use crate::cross_section::CrossSection;
use crate::traits::Indicator;
/// Fast EMA smoothing constant — the classic McClellan 19-period weight
/// `2 / (19 + 1)`.
const ALPHA_FAST: f64 = 0.1;
/// Slow EMA smoothing constant — the classic McClellan 39-period weight
/// `2 / (39 + 1)`.
const ALPHA_SLOW: f64 = 0.05;
/// Scale applied to the ratio-adjusted net advances so readings land on the
/// familiar McClellan amplitude.
const RANA_SCALE: f64 = 1000.0;
/// McClellan Oscillator — the difference between a 19-period and a 39-period
/// exponential moving average of *ratio-adjusted net advances*.
///
/// Each tick's breadth is reduced to ratio-adjusted net advances (RANA),
/// `(advancers - decliners) / (advancers + decliners) * 1000`. Dividing by the
/// number of participating issues makes the reading independent of universe size,
/// so the oscillator stays comparable as the universe grows or shrinks. The
/// oscillator is then the fast EMA minus the slow EMA of that series, using the
/// classic McClellan smoothing constants `0.10` (19-period) and `0.05`
/// (39-period). Both EMAs are seeded from the first tick's RANA, so the
/// oscillator is defined from the first update (`warmup_period == 1`); it starts
/// at `0.0` and crosses zero as breadth momentum shifts.
///
/// A tick with no advancing or declining issues yields a RANA of `0.0` (the
/// participating count is floored to one).
///
/// `Input = CrossSection`, `Output = f64`.
///
/// # Example
///
/// ```
/// use wickra_core::{CrossSection, Indicator, McClellanOscillator, Member};
///
/// let mut osc = McClellanOscillator::new();
/// let tick = CrossSection::new(
/// vec![
/// Member::new(1.0, 10.0, false, false),
/// Member::new(1.0, 10.0, false, false),
/// Member::new(1.0, 10.0, false, false),
/// Member::new(-1.0, 10.0, false, false),
/// ],
/// 0,
/// )
/// .unwrap();
/// // First tick seeds both EMAs to the same value -> oscillator 0.
/// assert_eq!(osc.update(tick), Some(0.0));
/// ```
#[derive(Debug, Clone, Default)]
pub struct McClellanOscillator {
ema_fast: f64,
ema_slow: f64,
seeded: bool,
has_emitted: bool,
}
impl McClellanOscillator {
/// Construct a new McClellan Oscillator with the classic 19/39 smoothing.
#[must_use]
pub const fn new() -> Self {
Self {
ema_fast: 0.0,
ema_slow: 0.0,
seeded: false,
has_emitted: false,
}
}
/// Feed a cross-section tick and return the oscillator value, which is defined
/// on every tick. Shared with [`McClellanSummationIndex`] so the summation
/// index can accumulate the oscillator without an `Option` round-trip.
///
/// [`McClellanSummationIndex`]: crate::McClellanSummationIndex
pub(crate) fn step(&mut self, section: &CrossSection) -> f64 {
let advancers = section.advancers();
let decliners = section.decliners();
let net = advancers as f64 - decliners as f64;
let participating = (advancers + decliners).max(1) as f64;
let rana = net / participating * RANA_SCALE;
if self.seeded {
self.ema_fast += ALPHA_FAST * (rana - self.ema_fast);
self.ema_slow += ALPHA_SLOW * (rana - self.ema_slow);
} else {
self.ema_fast = rana;
self.ema_slow = rana;
self.seeded = true;
}
self.has_emitted = true;
self.ema_fast - self.ema_slow
}
}
impl Indicator for McClellanOscillator {
type Input = CrossSection;
type Output = f64;
fn update(&mut self, section: CrossSection) -> Option<f64> {
Some(self.step(§ion))
}
fn reset(&mut self) {
self.ema_fast = 0.0;
self.ema_slow = 0.0;
self.seeded = false;
self.has_emitted = false;
}
fn warmup_period(&self) -> usize {
1
}
fn is_ready(&self) -> bool {
self.has_emitted
}
fn name(&self) -> &'static str {
"McClellanOscillator"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::cross_section::Member;
use crate::traits::BatchExt;
fn section(up: usize, down: usize) -> CrossSection {
let mut members = Vec::new();
for _ in 0..up {
members.push(Member::new(1.0, 10.0, false, false));
}
for _ in 0..down {
members.push(Member::new(-1.0, 10.0, false, false));
}
members.push(Member::new(0.0, 10.0, false, false));
CrossSection::new(members, 0).unwrap()
}
#[test]
fn accessors_and_metadata() {
let osc = McClellanOscillator::new();
assert_eq!(osc.name(), "McClellanOscillator");
assert_eq!(osc.warmup_period(), 1);
assert!(!osc.is_ready());
}
#[test]
fn seeds_to_zero_on_first_tick() {
let mut osc = McClellanOscillator::new();
// RANA = (3 - 1) / 4 * 1000 = 500 ; both EMAs seed to 500 -> spread 0.
assert_eq!(osc.update(section(3, 1)), Some(0.0));
assert!(osc.is_ready());
}
#[test]
fn tracks_breadth_momentum_after_seeding() {
let mut osc = McClellanOscillator::new();
osc.update(section(3, 1)); // seed at RANA 500
// RANA = (1 - 3) / 4 * 1000 = -500.
// fast = 500 + 0.1 * (-1000) = 400 ; slow = 500 + 0.05 * (-1000) = 450.
let value = osc.update(section(1, 3)).unwrap();
assert!((value - (-50.0)).abs() < 1e-9);
// RANA = 0. fast = 400 + 0.1 * (-400) = 360 ; slow = 450 + 0.05 * (-450) = 427.5.
let value = osc.update(section(2, 2)).unwrap();
assert!((value - (-67.5)).abs() < 1e-9);
}
#[test]
fn empty_participation_yields_zero_rana() {
let mut osc = McClellanOscillator::new();
// No advancers or decliners -> RANA 0 ; seeds both EMAs to 0 -> spread 0.
assert_eq!(osc.update(section(0, 0)), Some(0.0));
}
#[test]
fn reset_clears_state() {
let mut osc = McClellanOscillator::new();
osc.update(section(3, 1));
osc.update(section(1, 3));
assert!(osc.is_ready());
osc.reset();
assert!(!osc.is_ready());
// After reset the next tick re-seeds to spread 0.
assert_eq!(osc.update(section(1, 3)), Some(0.0));
}
#[test]
fn batch_equals_streaming() {
let sections = vec![section(3, 1), section(1, 3), section(2, 2), section(0, 0)];
let mut a = McClellanOscillator::new();
let mut b = McClellanOscillator::new();
assert_eq!(
a.batch(§ions),
sections
.iter()
.map(|s| b.update(s.clone()))
.collect::<Vec<_>>()
);
}
}