Add B7 Trailing Stops family (6 indicators) (#193)

Adds the **Trailing Stops** family deepening (B7), six new indicators (434 -> 440):

- **KaseDevStop** — Cynthia Kase's volatility stop on the standard deviation of the two-bar true range.
- **ElderSafeZone** — Alexander Elder's stop offset by a multiple of average market noise.
- **AtrRatchet** — Kaufman ATR ratchet that tightens its multiple by a per-bar increment.
- **Nrtr** — Nick Rypock Trailing Reverse (percentage band).
- **TimeBasedStop** — exits after a fixed number of bars (scalar fraction of elapsed life).
- **ModifiedMaStop** — moving-average based trailing stop.

("Wilder Volatility System" is intentionally skipped — it overlaps the existing VoltyStop/Psar/SarExt.)

Each takes Candle input; the five band/structure stops emit a {value, direction} struct, TimeBasedStop a scalar. Wired across core, Python/Node/WASM bindings, fuzz target and tests. Verified locally: 3560 core lib + 398 doc tests, clippy clean, 515 node tests, 852 pytest, counter 440.
This commit is contained in:
kingchenc
2026-06-07 01:32:15 +02:00
committed by GitHub
parent 83e34c6f71
commit 2991ba411d
20 changed files with 3131 additions and 53 deletions
+459
View File
@@ -3631,6 +3631,75 @@ impl PyProjectionOscillator {
}
}
// ============================== TimeBasedStop ==============================
#[pyclass(name = "TimeBasedStop", module = "wickra._wickra", skip_from_py_object)]
#[derive(Clone)]
struct PyTimeBasedStop {
inner: wc::TimeBasedStop,
}
#[pymethods]
impl PyTimeBasedStop {
#[new]
#[pyo3(signature = (max_bars=5))]
fn new(max_bars: usize) -> PyResult<Self> {
Ok(Self {
inner: wc::TimeBasedStop::new(max_bars).map_err(map_err)?,
})
}
fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<f64>> {
let c = extract_candle(candle)?;
Ok(self.inner.update(c))
}
/// Batch over numpy columns: high, low, close (all 1-D, equal length).
/// Ignores price; counts bars. Returns progress in `[0, 1]`.
fn batch<'py>(
&mut self,
py: Python<'py>,
high: PyReadonlyArray1<'py, f64>,
low: PyReadonlyArray1<'py, f64>,
close: PyReadonlyArray1<'py, f64>,
) -> PyResult<Bound<'py, PyArray1<f64>>> {
let h = high
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
let l = low
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
let c = close
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
if h.len() != l.len() || l.len() != c.len() {
return Err(PyValueError::new_err(
"high, low, close must be equal length",
));
}
let mut out = Vec::with_capacity(h.len());
for i in 0..h.len() {
let candle = wc::Candle::new(c[i], h[i], l[i], c[i], 0.0, 0).map_err(map_err)?;
out.push(self.inner.update(candle).unwrap_or(f64::NAN));
}
Ok(out.into_pyarray(py))
}
#[getter]
fn max_bars(&self) -> usize {
self.inner.max_bars()
}
fn reset(&mut self) {
self.inner.reset();
}
fn is_ready(&self) -> bool {
self.inner.is_ready()
}
fn warmup_period(&self) -> usize {
self.inner.warmup_period()
}
fn __repr__(&self) -> String {
format!("TimeBasedStop(max_bars={})", self.inner.max_bars())
}
}
// ============================== Stochastic ==============================
#[pyclass(name = "IMI", module = "wickra._wickra", skip_from_py_object)]
@@ -9813,6 +9882,390 @@ impl PyRenkoTrailingStop {
}
}
// ============================== Kase DevStop ==============================
#[pyclass(name = "KaseDevStop", module = "wickra._wickra", skip_from_py_object)]
#[derive(Clone)]
struct PyKaseDevStop {
inner: wc::KaseDevStop,
}
#[pymethods]
impl PyKaseDevStop {
#[new]
#[pyo3(signature = (period=30, dev=1.0))]
fn new(period: usize, dev: f64) -> PyResult<Self> {
Ok(Self {
inner: wc::KaseDevStop::new(period, dev).map_err(map_err)?,
})
}
fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<(f64, f64)>> {
let c = extract_candle(candle)?;
Ok(self.inner.update(c).map(|o| (o.value, o.direction)))
}
/// Batch over numpy columns high, low, close. Returns shape `(n, 2)` with
/// columns `[value, direction]`; warmup rows are `NaN`.
fn batch<'py>(
&mut self,
py: Python<'py>,
high: PyReadonlyArray1<'py, f64>,
low: PyReadonlyArray1<'py, f64>,
close: PyReadonlyArray1<'py, f64>,
) -> PyResult<Bound<'py, PyArray2<f64>>> {
let h = high
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
let l = low
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
let c = close
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
if h.len() != l.len() || l.len() != c.len() {
return Err(PyValueError::new_err(
"high, low, close must be equal length",
));
}
let n = h.len();
let mut out = vec![f64::NAN; n * 2];
for i in 0..n {
let candle = wc::Candle::new(c[i], h[i], l[i], c[i], 0.0, 0).map_err(map_err)?;
if let Some(o) = self.inner.update(candle) {
out[i * 2] = o.value;
out[i * 2 + 1] = o.direction;
}
}
Ok(numpy::ndarray::Array2::from_shape_vec((n, 2), out)
.expect("shape consistent")
.into_pyarray(py))
}
#[getter]
fn params(&self) -> (usize, f64) {
self.inner.params()
}
fn reset(&mut self) {
self.inner.reset();
}
fn is_ready(&self) -> bool {
self.inner.is_ready()
}
fn warmup_period(&self) -> usize {
self.inner.warmup_period()
}
fn __repr__(&self) -> String {
let (period, dev) = self.inner.params();
format!("KaseDevStop(period={period}, dev={dev})")
}
}
// ============================== Elder SafeZone ==============================
#[pyclass(name = "ElderSafeZone", module = "wickra._wickra", skip_from_py_object)]
#[derive(Clone)]
struct PyElderSafeZone {
inner: wc::ElderSafeZone,
}
#[pymethods]
impl PyElderSafeZone {
#[new]
#[pyo3(signature = (period=14, coeff=2.0))]
fn new(period: usize, coeff: f64) -> PyResult<Self> {
Ok(Self {
inner: wc::ElderSafeZone::new(period, coeff).map_err(map_err)?,
})
}
fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<(f64, f64)>> {
let c = extract_candle(candle)?;
Ok(self.inner.update(c).map(|o| (o.value, o.direction)))
}
/// Batch over numpy columns high, low, close. Returns shape `(n, 2)` with
/// columns `[value, direction]`; warmup rows are `NaN`.
fn batch<'py>(
&mut self,
py: Python<'py>,
high: PyReadonlyArray1<'py, f64>,
low: PyReadonlyArray1<'py, f64>,
close: PyReadonlyArray1<'py, f64>,
) -> PyResult<Bound<'py, PyArray2<f64>>> {
let h = high
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
let l = low
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
let c = close
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
if h.len() != l.len() || l.len() != c.len() {
return Err(PyValueError::new_err(
"high, low, close must be equal length",
));
}
let n = h.len();
let mut out = vec![f64::NAN; n * 2];
for i in 0..n {
let candle = wc::Candle::new(c[i], h[i], l[i], c[i], 0.0, 0).map_err(map_err)?;
if let Some(o) = self.inner.update(candle) {
out[i * 2] = o.value;
out[i * 2 + 1] = o.direction;
}
}
Ok(numpy::ndarray::Array2::from_shape_vec((n, 2), out)
.expect("shape consistent")
.into_pyarray(py))
}
#[getter]
fn params(&self) -> (usize, f64) {
self.inner.params()
}
fn reset(&mut self) {
self.inner.reset();
}
fn is_ready(&self) -> bool {
self.inner.is_ready()
}
fn warmup_period(&self) -> usize {
self.inner.warmup_period()
}
fn __repr__(&self) -> String {
let (period, coeff) = self.inner.params();
format!("ElderSafeZone(period={period}, coeff={coeff})")
}
}
// ============================== ATR Ratchet ==============================
#[pyclass(name = "AtrRatchet", module = "wickra._wickra", skip_from_py_object)]
#[derive(Clone)]
struct PyAtrRatchet {
inner: wc::AtrRatchet,
}
#[pymethods]
impl PyAtrRatchet {
#[new]
#[pyo3(signature = (atr_period=14, start_mult=4.0, increment=0.1))]
fn new(atr_period: usize, start_mult: f64, increment: f64) -> PyResult<Self> {
Ok(Self {
inner: wc::AtrRatchet::new(atr_period, start_mult, increment).map_err(map_err)?,
})
}
fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<(f64, f64)>> {
let c = extract_candle(candle)?;
Ok(self.inner.update(c).map(|o| (o.value, o.direction)))
}
/// Batch over numpy columns high, low, close. Returns shape `(n, 2)` with
/// columns `[value, direction]`; warmup rows are `NaN`.
fn batch<'py>(
&mut self,
py: Python<'py>,
high: PyReadonlyArray1<'py, f64>,
low: PyReadonlyArray1<'py, f64>,
close: PyReadonlyArray1<'py, f64>,
) -> PyResult<Bound<'py, PyArray2<f64>>> {
let h = high
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
let l = low
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
let c = close
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
if h.len() != l.len() || l.len() != c.len() {
return Err(PyValueError::new_err(
"high, low, close must be equal length",
));
}
let n = h.len();
let mut out = vec![f64::NAN; n * 2];
for i in 0..n {
let candle = wc::Candle::new(c[i], h[i], l[i], c[i], 0.0, 0).map_err(map_err)?;
if let Some(o) = self.inner.update(candle) {
out[i * 2] = o.value;
out[i * 2 + 1] = o.direction;
}
}
Ok(numpy::ndarray::Array2::from_shape_vec((n, 2), out)
.expect("shape consistent")
.into_pyarray(py))
}
#[getter]
fn params(&self) -> (usize, f64, f64) {
self.inner.params()
}
fn reset(&mut self) {
self.inner.reset();
}
fn is_ready(&self) -> bool {
self.inner.is_ready()
}
fn warmup_period(&self) -> usize {
self.inner.warmup_period()
}
fn __repr__(&self) -> String {
let (atr_period, start_mult, increment) = self.inner.params();
format!(
"AtrRatchet(atr_period={atr_period}, start_mult={start_mult}, increment={increment})"
)
}
}
// ============================== NRTR ==============================
#[pyclass(name = "Nrtr", module = "wickra._wickra", skip_from_py_object)]
#[derive(Clone)]
struct PyNrtr {
inner: wc::Nrtr,
}
#[pymethods]
impl PyNrtr {
#[new]
#[pyo3(signature = (pct=2.0))]
fn new(pct: f64) -> PyResult<Self> {
Ok(Self {
inner: wc::Nrtr::new(pct).map_err(map_err)?,
})
}
fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<(f64, f64)>> {
let c = extract_candle(candle)?;
Ok(self.inner.update(c).map(|o| (o.value, o.direction)))
}
/// Batch over numpy columns high, low, close. Returns shape `(n, 2)` with
/// columns `[value, direction]`; warmup rows are `NaN`.
fn batch<'py>(
&mut self,
py: Python<'py>,
high: PyReadonlyArray1<'py, f64>,
low: PyReadonlyArray1<'py, f64>,
close: PyReadonlyArray1<'py, f64>,
) -> PyResult<Bound<'py, PyArray2<f64>>> {
let h = high
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
let l = low
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
let c = close
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
if h.len() != l.len() || l.len() != c.len() {
return Err(PyValueError::new_err(
"high, low, close must be equal length",
));
}
let n = h.len();
let mut out = vec![f64::NAN; n * 2];
for i in 0..n {
let candle = wc::Candle::new(c[i], h[i], l[i], c[i], 0.0, 0).map_err(map_err)?;
if let Some(o) = self.inner.update(candle) {
out[i * 2] = o.value;
out[i * 2 + 1] = o.direction;
}
}
Ok(numpy::ndarray::Array2::from_shape_vec((n, 2), out)
.expect("shape consistent")
.into_pyarray(py))
}
#[getter]
fn pct(&self) -> f64 {
self.inner.pct()
}
fn reset(&mut self) {
self.inner.reset();
}
fn is_ready(&self) -> bool {
self.inner.is_ready()
}
fn warmup_period(&self) -> usize {
self.inner.warmup_period()
}
fn __repr__(&self) -> String {
format!("Nrtr(pct={})", self.inner.pct())
}
}
// ============================== Modified MA Stop ==============================
#[pyclass(
name = "ModifiedMaStop",
module = "wickra._wickra",
skip_from_py_object
)]
#[derive(Clone)]
struct PyModifiedMaStop {
inner: wc::ModifiedMaStop,
}
#[pymethods]
impl PyModifiedMaStop {
#[new]
#[pyo3(signature = (period=14))]
fn new(period: usize) -> PyResult<Self> {
Ok(Self {
inner: wc::ModifiedMaStop::new(period).map_err(map_err)?,
})
}
fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<(f64, f64)>> {
let c = extract_candle(candle)?;
Ok(self.inner.update(c).map(|o| (o.value, o.direction)))
}
/// Batch over numpy columns high, low, close. Returns shape `(n, 2)` with
/// columns `[value, direction]`; warmup rows are `NaN`.
fn batch<'py>(
&mut self,
py: Python<'py>,
high: PyReadonlyArray1<'py, f64>,
low: PyReadonlyArray1<'py, f64>,
close: PyReadonlyArray1<'py, f64>,
) -> PyResult<Bound<'py, PyArray2<f64>>> {
let h = high
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
let l = low
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
let c = close
.as_slice()
.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
if h.len() != l.len() || l.len() != c.len() {
return Err(PyValueError::new_err(
"high, low, close must be equal length",
));
}
let n = h.len();
let mut out = vec![f64::NAN; n * 2];
for i in 0..n {
let candle = wc::Candle::new(c[i], h[i], l[i], c[i], 0.0, 0).map_err(map_err)?;
if let Some(o) = self.inner.update(candle) {
out[i * 2] = o.value;
out[i * 2 + 1] = o.direction;
}
}
Ok(numpy::ndarray::Array2::from_shape_vec((n, 2), out)
.expect("shape consistent")
.into_pyarray(py))
}
#[getter]
fn period(&self) -> usize {
self.inner.period()
}
fn reset(&mut self) {
self.inner.reset();
}
fn is_ready(&self) -> bool {
self.inner.is_ready()
}
fn warmup_period(&self) -> usize {
self.inner.warmup_period()
}
fn __repr__(&self) -> String {
format!("ModifiedMaStop(period={})", self.inner.period())
}
}
// ============================== Typical Price ==============================
#[pyclass(name = "TypicalPrice", module = "wickra._wickra", skip_from_py_object)]
@@ -21894,6 +22347,11 @@ fn _wickra(_py: Python<'_>, m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyPercentageTrailingStop>()?;
m.add_class::<PyStepTrailingStop>()?;
m.add_class::<PyRenkoTrailingStop>()?;
m.add_class::<PyKaseDevStop>()?;
m.add_class::<PyElderSafeZone>()?;
m.add_class::<PyAtrRatchet>()?;
m.add_class::<PyNrtr>()?;
m.add_class::<PyModifiedMaStop>()?;
m.add_class::<PyTypicalPrice>()?;
m.add_class::<PyMedianPrice>()?;
m.add_class::<PyWeightedClose>()?;
@@ -22238,5 +22696,6 @@ fn _wickra(_py: Python<'_>, m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyVolatilityOfVolatility>()?;
m.add_class::<PyVolatilityCone>()?;
m.add_class::<PyProjectionOscillator>()?;
m.add_class::<PyTimeBasedStop>()?;
Ok(())
}