feat: Family 03 MACD & Price Oscillators — APO / AO-Hist / CFO / Zero-Lag MACD / Elder Impulse / STC (#41)
* 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.
This commit is contained in:
@@ -1620,6 +1620,315 @@ impl PyAlma {
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}
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}
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// ============================== AwesomeOscillatorHistogram ==============================
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#[pyclass(
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name = "AwesomeOscillatorHistogram",
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module = "wickra._wickra",
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skip_from_py_object
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)]
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#[derive(Clone)]
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struct PyAoHist {
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inner: wc::AwesomeOscillatorHistogram,
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}
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#[pymethods]
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impl PyAoHist {
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#[new]
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#[pyo3(signature = (fast=5, slow=34, sma_period=5))]
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fn new(fast: usize, slow: usize, sma_period: usize) -> PyResult<Self> {
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Ok(Self {
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inner: wc::AwesomeOscillatorHistogram::new(fast, slow, sma_period).map_err(map_err)?,
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})
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}
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fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<f64>> {
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let c = extract_candle(candle)?;
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Ok(self.inner.update(c))
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}
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fn batch<'py>(
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&mut self,
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py: Python<'py>,
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high: PyReadonlyArray1<'py, f64>,
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low: PyReadonlyArray1<'py, f64>,
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) -> PyResult<Bound<'py, PyArray1<f64>>> {
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let h = high
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.as_slice()
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.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
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let l = low
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.as_slice()
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.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
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if h.len() != l.len() {
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return Err(PyValueError::new_err("high and low must be equal length"));
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}
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let mut out = Vec::with_capacity(h.len());
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for i in 0..h.len() {
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let candle = wc::Candle::new(l[i], h[i], l[i], l[i], 0.0, 0).map_err(map_err)?;
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out.push(self.inner.update(candle).unwrap_or(f64::NAN));
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}
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Ok(out.into_pyarray(py))
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}
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fn reset(&mut self) {
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self.inner.reset();
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}
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fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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fn warmup_period(&self) -> usize {
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self.inner.warmup_period()
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}
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fn __repr__(&self) -> String {
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let (f, s, k) = self.inner.periods();
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format!("AwesomeOscillatorHistogram(fast={f}, slow={s}, sma_period={k})")
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}
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}
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// ============================== STC ==============================
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#[pyclass(name = "STC", module = "wickra._wickra", skip_from_py_object)]
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#[derive(Clone)]
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struct PyStc {
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inner: wc::Stc,
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}
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#[pymethods]
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impl PyStc {
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#[new]
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#[pyo3(signature = (fast=23, slow=50, schaff_period=10, factor=0.5))]
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fn new(fast: usize, slow: usize, schaff_period: usize, factor: f64) -> PyResult<Self> {
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Ok(Self {
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inner: wc::Stc::new(fast, slow, schaff_period, factor).map_err(map_err)?,
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})
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}
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fn update(&mut self, value: f64) -> Option<f64> {
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self.inner.update(value)
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}
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fn batch<'py>(
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&mut self,
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py: Python<'py>,
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prices: PyReadonlyArray1<'py, f64>,
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) -> PyResult<Bound<'py, PyArray1<f64>>> {
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let s = prices
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.as_slice()
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.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
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Ok(flatten(self.inner.batch(s)).into_pyarray(py))
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}
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fn reset(&mut self) {
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self.inner.reset();
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}
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fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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fn warmup_period(&self) -> usize {
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self.inner.warmup_period()
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}
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fn __repr__(&self) -> String {
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let (f, s, p, k) = self.inner.params();
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format!("STC(fast={f}, slow={s}, schaff_period={p}, factor={k})")
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}
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}
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// ============================== ElderImpulse ==============================
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#[pyclass(name = "ElderImpulse", module = "wickra._wickra", skip_from_py_object)]
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#[derive(Clone)]
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struct PyElderImpulse {
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inner: wc::ElderImpulse,
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}
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#[pymethods]
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impl PyElderImpulse {
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#[new]
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#[pyo3(signature = (ema_period=13, macd_fast=12, macd_slow=26, macd_signal=9))]
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fn new(
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ema_period: usize,
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macd_fast: usize,
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macd_slow: usize,
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macd_signal: usize,
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) -> PyResult<Self> {
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Ok(Self {
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inner: wc::ElderImpulse::new(ema_period, macd_fast, macd_slow, macd_signal)
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.map_err(map_err)?,
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})
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}
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fn update(&mut self, value: f64) -> Option<f64> {
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self.inner.update(value)
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}
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fn batch<'py>(
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&mut self,
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py: Python<'py>,
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prices: PyReadonlyArray1<'py, f64>,
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) -> PyResult<Bound<'py, PyArray1<f64>>> {
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let s = prices
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.as_slice()
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.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
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Ok(flatten(self.inner.batch(s)).into_pyarray(py))
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}
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fn reset(&mut self) {
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self.inner.reset();
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}
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fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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fn warmup_period(&self) -> usize {
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self.inner.warmup_period()
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}
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fn __repr__(&self) -> String {
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let (e, f, s, sig) = self.inner.periods();
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format!("ElderImpulse(ema_period={e}, macd_fast={f}, macd_slow={s}, macd_signal={sig})")
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}
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}
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// ============================== ZeroLagMACD ==============================
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#[pyclass(name = "ZeroLagMACD", module = "wickra._wickra", skip_from_py_object)]
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#[derive(Clone)]
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struct PyZeroLagMacd {
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inner: wc::ZeroLagMacd,
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}
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#[pymethods]
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impl PyZeroLagMacd {
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#[new]
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#[pyo3(signature = (fast=12, slow=26, signal=9))]
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fn new(fast: usize, slow: usize, signal: usize) -> PyResult<Self> {
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Ok(Self {
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inner: wc::ZeroLagMacd::new(fast, slow, signal).map_err(map_err)?,
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})
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}
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fn update(&mut self, value: f64) -> Option<(f64, f64, f64)> {
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self.inner
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.update(value)
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.map(|o| (o.macd, o.signal, o.histogram))
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}
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fn batch<'py>(
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&mut self,
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py: Python<'py>,
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prices: PyReadonlyArray1<'py, f64>,
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) -> PyResult<Bound<'py, PyArray2<f64>>> {
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let slice = prices
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.as_slice()
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.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
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let n = slice.len();
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let mut out = vec![f64::NAN; n * 3];
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for (i, p) in slice.iter().enumerate() {
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if let Some(o) = self.inner.update(*p) {
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out[i * 3] = o.macd;
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out[i * 3 + 1] = o.signal;
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out[i * 3 + 2] = o.histogram;
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}
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}
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Ok(numpy::ndarray::Array2::from_shape_vec((n, 3), out)
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.expect("shape consistent")
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.into_pyarray(py))
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}
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fn reset(&mut self) {
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self.inner.reset();
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}
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fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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fn warmup_period(&self) -> usize {
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self.inner.warmup_period()
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}
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fn __repr__(&self) -> String {
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let (f, s, sig) = self.inner.periods();
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format!("ZeroLagMACD(fast={f}, slow={s}, signal={sig})")
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}
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}
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// ============================== CFO ==============================
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#[pyclass(name = "CFO", module = "wickra._wickra", skip_from_py_object)]
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#[derive(Clone)]
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struct PyCfo {
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inner: wc::Cfo,
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}
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#[pymethods]
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impl PyCfo {
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#[new]
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#[pyo3(signature = (period=14))]
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fn new(period: usize) -> PyResult<Self> {
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Ok(Self {
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inner: wc::Cfo::new(period).map_err(map_err)?,
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})
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}
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fn update(&mut self, value: f64) -> Option<f64> {
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self.inner.update(value)
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}
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fn batch<'py>(
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&mut self,
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py: Python<'py>,
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prices: PyReadonlyArray1<'py, f64>,
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) -> PyResult<Bound<'py, PyArray1<f64>>> {
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let s = prices
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.as_slice()
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.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
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Ok(flatten(self.inner.batch(s)).into_pyarray(py))
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}
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#[getter]
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fn period(&self) -> usize {
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self.inner.period()
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}
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fn reset(&mut self) {
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self.inner.reset();
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}
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fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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fn warmup_period(&self) -> usize {
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self.inner.warmup_period()
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}
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fn __repr__(&self) -> String {
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format!("CFO(period={})", self.inner.period())
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}
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}
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// ============================== APO ==============================
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#[pyclass(name = "APO", module = "wickra._wickra", skip_from_py_object)]
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#[derive(Clone)]
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struct PyApo {
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inner: wc::Apo,
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}
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#[pymethods]
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impl PyApo {
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#[new]
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#[pyo3(signature = (fast=12, slow=26))]
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fn new(fast: usize, slow: usize) -> PyResult<Self> {
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Ok(Self {
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inner: wc::Apo::new(fast, slow).map_err(map_err)?,
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})
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}
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fn update(&mut self, value: f64) -> Option<f64> {
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self.inner.update(value)
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}
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fn batch<'py>(
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&mut self,
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py: Python<'py>,
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prices: PyReadonlyArray1<'py, f64>,
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) -> PyResult<Bound<'py, PyArray1<f64>>> {
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let s = prices
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.as_slice()
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.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
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Ok(flatten(self.inner.batch(s)).into_pyarray(py))
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}
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fn reset(&mut self) {
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self.inner.reset();
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}
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fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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fn warmup_period(&self) -> usize {
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self.inner.warmup_period()
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}
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fn __repr__(&self) -> String {
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let (f, s) = self.inner.periods();
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format!("APO(fast={f}, slow={s})")
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}
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}
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// ============================== CCI ==============================
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#[pyclass(name = "CCI", module = "wickra._wickra", skip_from_py_object)]
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@@ -5375,5 +5684,11 @@ fn _wickra(_py: Python<'_>, m: &Bound<'_, PyModule>) -> PyResult<()> {
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m.add_class::<PyJma>()?;
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m.add_class::<PyAlligator>()?;
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m.add_class::<PyEvwma>()?;
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m.add_class::<PyApo>()?;
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m.add_class::<PyAoHist>()?;
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m.add_class::<PyCfo>()?;
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m.add_class::<PyZeroLagMacd>()?;
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m.add_class::<PyElderImpulse>()?;
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m.add_class::<PyStc>()?;
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Ok(())
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}
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