* feat(apo): add Absolute Price Oscillator EMA(close, fast) - EMA(close, slow). Like MACD without the signal EMA. Defaults to (fast = 12, slow = 26); fast must be strictly less than slow. Touchpoints: apo.rs + mod.rs + lib.rs re-export, PyApo + __init__.py + test_new_indicators SCALAR + test_known_values flat reference, ApoNode + index.d.ts/index.js + indicators.test.js factory + reference, WasmApo via scalar macro, scalar-fuzz target, README + CHANGELOG. * fix(apo): add PyApo + ApoNode + WasmApo bindings missed fromec269d8The previous APO commit (ec269d8) only registered APO in the Python __init__.py / Node index.js / Node index.d.ts / fuzz / tests / docs. The actual PyApo pyclass, ApoNode napi class, and WasmApo wasm class edits silently no-op'd because the underlying lib.rs files had been touched by a branch switch between Read and Edit. The bindings were therefore advertising APO from the Python module / Node package / WASM module but not actually exposing it. Fix: insert PyApo block + add_class call in bindings/python/src/lib.rs, ApoNode block in bindings/node/src/lib.rs, WasmApo macro line in bindings/wasm/src/lib.rs. cargo test workspace stays at 615 (no new tests added; the existing test_known_values + indicators.test.js references would have failed at import once the bindings rebuilt without these classes). * feat(ao-histogram): add Awesome Oscillator Histogram AO - SMA(AO, sma_period). A configurable variant of the existing AcceleratorOscillator (which fixes fast=5, slow=34, sma=5). Three parameters; defaults match Bill Williams' Accelerator. Touchpoints: awesome_oscillator_histogram.rs + mod.rs + lib.rs re-export, PyAoHist + __init__.py + test_new_indicators CANDLE_SCALAR + test_known_values flat reference, AwesomeOscillatorHistogramNode + index.d.ts/index.js + indicators.test.js factory + reference, WasmAoHist, candle-fuzz target, README + CHANGELOG. * feat(cfo): add Chande Forecast Oscillator 100 * (close - LinReg(close, period)) / close. Positive when close overshoots the linear forecast, negative when it undershoots. Holds the previous value if the close is zero (percentage form undefined). Single param period (default 14). Touchpoints: cfo.rs + mod.rs + lib.rs re-export, PyCfo + __init__.py + test_new_indicators SCALAR + test_known_values linear reference, CfoNode + index.d.ts/index.js + indicators.test.js factory + reference, WasmCfo via scalar macro, scalar-fuzz target, README + CHANGELOG. * fix(cfo): add WasmCfo binding missed from733afd9* feat(zero-lag-macd): add Zero-Lag MACD Classic MACD topology with ZLEMA substituted for EMA everywhere: faster reaction to trend changes at the cost of slightly noisier readings. Multi-output ZeroLagMacdOutput { macd, signal, histogram }. Three parameters (fast = 12, slow = 26, signal = 9); fast must be strictly less than slow. Touchpoints: zero_lag_macd.rs + mod.rs + lib.rs re-export, PyZeroLagMacd + __init__.py + test_new_indicators MULTI + test_known_values flat reference, ZeroLagMacdNode + ZeroLagMacdValue + index.d.ts/index.js + indicators.test.js multi factory + reference, WasmZeroLagMacd, scalar fuzz with hand-rolled drive (multi-output bypasses the f64-only helper), README + CHANGELOG. * feat(elder-impulse): add Alexander Elder Impulse System Tri-state momentum gauge: +1 (green/buy) when EMA trend and MACD histogram both rise, -1 (red/sell) when both fall, 0 (blue/neutral) on disagreement. Four parameters (ema_period, macd_fast, macd_slow, macd_signal); defaults (13, 12, 26, 9) match Elder. Internally feeds both branches on every input so they warm in parallel; needs one bar past the slowest branch to seed direction state. Touchpoints: elder_impulse.rs + mod.rs + lib.rs re-export, PyElderImpulse + __init__.py + test_new_indicators SCALAR + test_known_values neutral reference, ElderImpulseNode + index.d.ts/index.js + indicators.test.js factory + reference, WasmElderImpulse via scalar macro, scalar-fuzz target, README + CHANGELOG. * feat(stc): add Schaff Trend Cycle Doug Schaff's doubly-Stochastic-smoothed MACD. Bounded [0, 100] reading that reacts faster than MACD by extracting the percentile of MACD within a recent window, half-EMA-smoothing it, and re-stochasing the smoothed series. Four parameters (fast = 23, slow = 50, schaff_period = 10, factor = 0.5); fast must be strictly less than slow and factor must lie in (0, 1]. Output clamped to [0, 100] to absorb floating-point rounding. The stochastic stages clamp to 0 when their rolling range collapses (flat input or perfectly monotone trend), so a flat series settles deterministically at 0 after warmup. Touchpoints: stc.rs + mod.rs + lib.rs re-export, PyStc + __init__.py + test_new_indicators SCALAR + test_known_values flat reference, StcNode + index.d.ts/index.js + indicators.test.js factory + reference, WasmStc via scalar macro, scalar-fuzz target, README + CHANGELOG. * fix(stc): rename last_stc -> last_value to satisfy clippy * ci: Retry setup-node and setup-python on CDN flakes Setup-node on Windows runners and setup-python across all OSes occasionally fail with a silent hang or 5xx mid-download ("Attempting to download 18..." → fail in <1s) — pure upstream CDN flake. The fix ran on this branch's previous merge commit (24e723f) had to be re-triggered manually via `gh run rerun --failed`. Wrap both setup actions with continue-on-error and a follow-up retry step that waits 30s and re-runs the same setup. The retry only fires when the first attempt failed (steps.<id>.outcome == 'failure'), so a green setup costs nothing extra. The retry uses the identical pinned SHA so we still get supply-chain verification on both attempts. Applied to ci.yml (Python matrix and Node matrix). release.yml has the same setup-node / setup-python steps but is rarely re-run, so the existing manual rerun pattern stays sufficient for now. * test(zero-lag-macd): Fix MULTI dict shape mismatch + cover warmup_period ZeroLagMACD was registered in the Python MULTI dict (which asserts a (n, 2) batch shape) but actually emits (n, 3) — macd, signal, histogram — like MACD. Moved out into its own standalone test test_zero_lag_macd_streaming_matches_batch (3-tuple shape), and included in the lifecycle sweep. Mirrors the existing Alligator pattern for 3-output candle indicators. Also adds a unit test for ZeroLagMacd::warmup_period that pins both the (12, 26, 9) classic case and a small-period config — these four lines were the codecov/patch miss on PR 41.
184 lines
4.9 KiB
Rust
184 lines
4.9 KiB
Rust
//! Absolute Price Oscillator (APO).
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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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/// Absolute Price Oscillator — the raw difference between a fast and a slow
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/// `EMA`. This is MACD's line without the signal-EMA — useful when only the
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/// momentum-direction reading is needed.
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///
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/// ```text
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/// APO_t = EMA(close, fast)_t − EMA(close, slow)_t
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/// ```
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///
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/// Default parameters mirror MACD: `(fast = 12, slow = 26)`. `fast` must be
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/// strictly less than `slow`.
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///
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/// # Example
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///
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/// ```
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/// use wickra_core::{Apo, Indicator};
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///
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/// let mut apo = Apo::new(12, 26).unwrap();
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/// let mut last = None;
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/// for i in 0..80 {
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/// last = apo.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 Apo {
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fast_period: usize,
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slow_period: usize,
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fast: Ema,
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slow: Ema,
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}
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impl Apo {
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/// # Errors
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/// - [`Error::PeriodZero`] if either period is zero.
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/// - [`Error::InvalidPeriod`] if `fast >= slow`.
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pub fn new(fast: usize, slow: usize) -> Result<Self> {
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if fast == 0 || slow == 0 {
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return Err(Error::PeriodZero);
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}
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if fast >= slow {
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return Err(Error::InvalidPeriod {
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message: "APO fast period must be strictly less than slow",
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});
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}
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Ok(Self {
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fast_period: fast,
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slow_period: slow,
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fast: Ema::new(fast)?,
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slow: Ema::new(slow)?,
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})
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}
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/// MACD-style defaults: `(fast = 12, slow = 26)`.
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pub fn classic() -> Self {
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Self::new(12, 26).expect("classic APO parameters are valid")
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}
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/// Configured `(fast, slow)`.
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pub const fn periods(&self) -> (usize, usize) {
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(self.fast_period, self.slow_period)
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}
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}
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impl Indicator for Apo {
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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 EMAs on every input so the slow one warms in parallel.
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let f = self.fast.update(input);
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let s = self.slow.update(input);
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Some(f? - s?)
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}
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fn reset(&mut self) {
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self.fast.reset();
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self.slow.reset();
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}
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fn warmup_period(&self) -> usize {
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// Slow EMA dominates; both EMAs emit at their `period` th input.
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self.slow_period
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}
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fn is_ready(&self) -> bool {
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self.slow.is_ready()
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}
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fn name(&self) -> &'static str {
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"APO"
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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 rejects_zero_period() {
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assert!(matches!(Apo::new(0, 26), Err(Error::PeriodZero)));
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assert!(matches!(Apo::new(12, 0), Err(Error::PeriodZero)));
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}
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#[test]
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fn rejects_fast_geq_slow() {
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assert!(matches!(Apo::new(26, 12), Err(Error::InvalidPeriod { .. })));
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assert!(matches!(Apo::new(12, 12), Err(Error::InvalidPeriod { .. })));
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}
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#[test]
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fn accessors_and_metadata() {
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let apo = Apo::classic();
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assert_eq!(apo.periods(), (12, 26));
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assert_eq!(apo.warmup_period(), 26);
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assert_eq!(apo.name(), "APO");
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}
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#[test]
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fn classic_factory() {
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assert_eq!(Apo::classic().periods(), (12, 26));
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}
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#[test]
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fn constant_series_converges_to_zero() {
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// Both EMAs reproduce the constant exactly, so APO is 0.
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let mut apo = Apo::new(3, 5).unwrap();
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let out = apo.batch(&[42.0_f64; 30]);
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for v in out.iter().skip(4).flatten() {
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assert_relative_eq!(*v, 0.0, epsilon = 1e-12);
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}
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}
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#[test]
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fn warmup_emits_first_value_at_slow_period() {
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let mut apo = Apo::new(2, 4).unwrap();
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assert_eq!(apo.warmup_period(), 4);
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for i in 1..=3 {
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assert_eq!(apo.update(f64::from(i)), None);
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}
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assert!(apo.update(4.0).is_some());
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}
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#[test]
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fn pure_uptrend_is_positive() {
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// Fast EMA leads the slow EMA on an uptrend, so APO > 0.
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let mut apo = Apo::classic();
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let prices: Vec<f64> = (1..=200).map(f64::from).collect();
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let out = apo.batch(&prices);
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let last = out.iter().rev().flatten().next().unwrap();
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assert!(*last > 0.0, "APO on uptrend should be positive: {last}");
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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..=120)
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.map(|i| 100.0 + (f64::from(i) * 0.2).sin() * 5.0)
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.collect();
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let mut a = Apo::classic();
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let mut b = Apo::classic();
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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 apo = Apo::classic();
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apo.batch(&(1..=80).map(f64::from).collect::<Vec<_>>());
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assert!(apo.is_ready());
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apo.reset();
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assert!(!apo.is_ready());
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assert_eq!(apo.update(1.0), None);
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}
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}
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