F6: add Aroon Oscillator, Vortex and Mass Index

Completes the F6 family (Trend strength) end to end:

- Rust core: aroon_oscillator.rs (AroonUp - AroonDown, one-line trend
  gauge), vortex.rs (Vortex Indicator VI+/VI- with the VortexOutput
  struct), mass_index.rs (Dorsey's range-expansion sum of the
  EMA-of-range ratio). Each with a full Indicator impl, runnable doctest
  and reference / saturation / warmup / reset / batch==streaming tests.
- Python: PyAroonOscillator / PyVortex / PyMassIndex PyO3 classes +
  module registration + .pyi stubs (defaults Aroon=14, Vortex=14,
  MassIndex=(9,25)).
- Node: explicit AroonOscillatorNode, VortexNode (with VortexValue
  object) and MassIndexNode; index.d.ts and index.js updated.
- WASM: WasmAroonOscillator, WasmVortex, WasmMassIndex.
- Wiki: Indicator-AroonOscillator/Vortex/MassIndex.md plus rows in
  Indicators-Overview.md and entries in Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 320 core tests,
25 data tests and 45 doctests green.
This commit is contained in:
kingchenc
2026-05-22 18:17:38 +02:00
parent 54148cad5b
commit 16c0639f0c
15 changed files with 1713 additions and 7 deletions
+4 -1
View File
@@ -310,7 +310,7 @@ if (!nativeBinding) {
throw new Error(`Failed to load native binding`)
}
const { version, SMA, EMA, WMA, RSI, DEMA, TEMA, HMA, ROC, TRIX, SMMA, TRIMA, ZLEMA, T3, VWMA, MOM, CMO, TSI, PMO, StochRSI, UltimateOscillator, PPO, DPO, Coppock, MACD, BollingerBands, ATR, Stochastic, OBV, ADX, CCI, WilliamsR, MFI, PSAR, Keltner, Donchian, VWAP, AwesomeOscillator, Aroon, KAMA } = nativeBinding
const { version, SMA, EMA, WMA, RSI, DEMA, TEMA, HMA, ROC, TRIX, SMMA, TRIMA, ZLEMA, T3, VWMA, MOM, CMO, TSI, PMO, StochRSI, UltimateOscillator, PPO, DPO, Coppock, AroonOscillator, Vortex, MassIndex, MACD, BollingerBands, ATR, Stochastic, OBV, ADX, CCI, WilliamsR, MFI, PSAR, Keltner, Donchian, VWAP, AwesomeOscillator, Aroon, KAMA } = nativeBinding
module.exports.version = version
module.exports.SMA = SMA
@@ -336,6 +336,9 @@ module.exports.UltimateOscillator = UltimateOscillator
module.exports.PPO = PPO
module.exports.DPO = DPO
module.exports.Coppock = Coppock
module.exports.AroonOscillator = AroonOscillator
module.exports.Vortex = Vortex
module.exports.MassIndex = MassIndex
module.exports.MACD = MACD
module.exports.BollingerBands = BollingerBands
module.exports.ATR = ATR
+169
View File
@@ -1145,6 +1145,175 @@ impl PmoNode {
// ============================== VWMA ==============================
// ============================== Aroon Oscillator ==============================
#[napi(js_name = "AroonOscillator")]
pub struct AroonOscillatorNode {
inner: wc::AroonOscillator,
}
#[napi]
impl AroonOscillatorNode {
#[napi(constructor)]
pub fn new(period: u32) -> napi::Result<Self> {
Ok(Self {
inner: wc::AroonOscillator::new(period as usize).map_err(map_err)?,
})
}
#[napi]
pub fn update(&mut self, high: f64, low: f64) -> napi::Result<Option<f64>> {
Ok(self.inner.update(cnd(high, low, low, 0.0)?))
}
#[napi]
pub fn batch(&mut self, high: Vec<f64>, low: Vec<f64>) -> napi::Result<Vec<f64>> {
if high.len() != low.len() {
return Err(NapiError::from_reason(
"high and low must be equal length".to_string(),
));
}
let mut out = Vec::with_capacity(high.len());
for i in 0..high.len() {
out.push(
self.inner
.update(cnd(high[i], low[i], low[i], 0.0)?)
.unwrap_or(f64::NAN),
);
}
Ok(out)
}
#[napi]
pub fn reset(&mut self) {
self.inner.reset();
}
#[napi(js_name = "isReady")]
pub fn is_ready(&self) -> bool {
self.inner.is_ready()
}
#[napi(js_name = "warmupPeriod")]
pub fn warmup_period(&self) -> u32 {
self.inner.warmup_period() as u32
}
}
// ============================== Vortex ==============================
/// Vortex Indicator pair: `VI+` and `VI-`.
#[napi(object)]
pub struct VortexValue {
pub plus: f64,
pub minus: f64,
}
#[napi(js_name = "Vortex")]
pub struct VortexNode {
inner: wc::Vortex,
}
#[napi]
impl VortexNode {
#[napi(constructor)]
pub fn new(period: u32) -> napi::Result<Self> {
Ok(Self {
inner: wc::Vortex::new(period as usize).map_err(map_err)?,
})
}
#[napi]
pub fn update(&mut self, high: f64, low: f64, close: f64) -> napi::Result<Option<VortexValue>> {
Ok(self
.inner
.update(cnd(high, low, close, 0.0)?)
.map(|o| VortexValue {
plus: o.plus,
minus: o.minus,
}))
}
/// Returns `[plus0, minus0, plus1, minus1, ...]`, length `2 * n`. Warmup is NaN.
#[napi]
pub fn batch(
&mut self,
high: Vec<f64>,
low: Vec<f64>,
close: Vec<f64>,
) -> napi::Result<Vec<f64>> {
if high.len() != low.len() || low.len() != close.len() {
return Err(NapiError::from_reason(
"high, low, close must be equal length".to_string(),
));
}
let n = high.len();
let mut out = vec![f64::NAN; n * 2];
for i in 0..n {
if let Some(o) = self.inner.update(cnd(high[i], low[i], close[i], 0.0)?) {
out[i * 2] = o.plus;
out[i * 2 + 1] = o.minus;
}
}
Ok(out)
}
#[napi]
pub fn reset(&mut self) {
self.inner.reset();
}
#[napi(js_name = "isReady")]
pub fn is_ready(&self) -> bool {
self.inner.is_ready()
}
#[napi(js_name = "warmupPeriod")]
pub fn warmup_period(&self) -> u32 {
self.inner.warmup_period() as u32
}
}
// ============================== Mass Index ==============================
#[napi(js_name = "MassIndex")]
pub struct MassIndexNode {
inner: wc::MassIndex,
}
#[napi]
impl MassIndexNode {
#[napi(constructor)]
pub fn new(ema_period: u32, sum_period: u32) -> napi::Result<Self> {
Ok(Self {
inner: wc::MassIndex::new(ema_period as usize, sum_period as usize).map_err(map_err)?,
})
}
#[napi]
pub fn update(&mut self, high: f64, low: f64) -> napi::Result<Option<f64>> {
Ok(self.inner.update(cnd(high, low, low, 0.0)?))
}
#[napi]
pub fn batch(&mut self, high: Vec<f64>, low: Vec<f64>) -> napi::Result<Vec<f64>> {
if high.len() != low.len() {
return Err(NapiError::from_reason(
"high and low must be equal length".to_string(),
));
}
let mut out = Vec::with_capacity(high.len());
for i in 0..high.len() {
out.push(
self.inner
.update(cnd(high[i], low[i], low[i], 0.0)?)
.unwrap_or(f64::NAN),
);
}
Ok(out)
}
#[napi]
pub fn reset(&mut self) {
self.inner.reset();
}
#[napi(js_name = "isReady")]
pub fn is_ready(&self) -> bool {
self.inner.is_ready()
}
#[napi(js_name = "warmupPeriod")]
pub fn warmup_period(&self) -> u32 {
self.inner.warmup_period() as u32
}
}
// ============================== StochRSI ==============================
#[napi(js_name = "StochRSI")]
@@ -76,6 +76,55 @@ class TRIMA:
@property
def value(self) -> Optional[float]: ...
class AroonOscillator:
def __init__(self, period: int = 14) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
@property
def value(self) -> Optional[float]: ...
class Vortex:
def __init__(self, period: int = 14) -> None: ...
def update(self, candle: CandleLike) -> Optional[Tuple[float, float]]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
close: NDArray[np.float64],
) -> NDArray[np.float64]:
"""Returns shape ``(n, 2)`` with columns ``[plus, minus]``."""
...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def period(self) -> int: ...
class MassIndex:
def __init__(self, ema_period: int = 9, sum_period: int = 25) -> None: ...
def update(self, candle: CandleLike) -> Optional[float]: ...
def batch(
self,
high: NDArray[np.float64],
low: NDArray[np.float64],
) -> NDArray[np.float64]: ...
def reset(self) -> None: ...
def is_ready(self) -> bool: ...
def warmup_period(self) -> int: ...
@property
def periods(self) -> Tuple[int, int]: ...
@property
def value(self) -> Optional[float]: ...
class PPO:
def __init__(self, fast: int = 12, slow: int = 26) -> None: ...
def update(self, value: float) -> Optional[float]: ...
+211
View File
@@ -1519,6 +1519,214 @@ impl PyAroon {
}
}
// ============================== Aroon Oscillator ==============================
#[pyclass(name = "AroonOscillator", module = "wickra._wickra")]
#[derive(Clone)]
struct PyAroonOscillator {
inner: wc::AroonOscillator,
}
#[pymethods]
impl PyAroonOscillator {
#[new]
#[pyo3(signature = (period=14))]
fn new(period: usize) -> PyResult<Self> {
Ok(Self {
inner: wc::AroonOscillator::new(period).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 high + low columns (both 1-D, equal length).
fn batch<'py>(
&mut self,
py: Python<'py>,
high: PyReadonlyArray1<'py, f64>,
low: 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))?;
if h.len() != l.len() {
return Err(PyValueError::new_err("high and low must be equal length"));
}
let mut out = Vec::with_capacity(h.len());
for i in 0..h.len() {
let candle = wc::Candle::new(l[i], h[i], l[i], l[i], 0.0, 0).map_err(map_err)?;
out.push(self.inner.update(candle).unwrap_or(f64::NAN));
}
Ok(out.into_pyarray_bound(py))
}
#[getter]
fn period(&self) -> usize {
self.inner.period()
}
#[getter]
fn value(&self) -> Option<f64> {
self.inner.value()
}
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!("AroonOscillator(period={})", self.inner.period())
}
}
// ============================== Vortex ==============================
#[pyclass(name = "Vortex", module = "wickra._wickra")]
#[derive(Clone)]
struct PyVortex {
inner: wc::Vortex,
}
#[pymethods]
impl PyVortex {
#[new]
#[pyo3(signature = (period=14))]
fn new(period: usize) -> PyResult<Self> {
Ok(Self {
inner: wc::Vortex::new(period).map_err(map_err)?,
})
}
/// Returns `(plus, minus)` or `None` during warmup.
fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<(f64, f64)>> {
let c = extract_candle(candle)?;
Ok(self.inner.update(c).map(|o| (o.plus, o.minus)))
}
/// Batch over high/low/close numpy columns. Returns shape `(n, 2)` for `[plus, minus]`.
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.plus;
out[i * 2 + 1] = o.minus;
}
}
Ok(numpy::ndarray::Array2::from_shape_vec((n, 2), out)
.expect("shape consistent")
.into_pyarray_bound(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!("Vortex(period={})", self.inner.period())
}
}
// ============================== Mass Index ==============================
#[pyclass(name = "MassIndex", module = "wickra._wickra")]
#[derive(Clone)]
struct PyMassIndex {
inner: wc::MassIndex,
}
#[pymethods]
impl PyMassIndex {
#[new]
#[pyo3(signature = (ema_period=9, sum_period=25))]
fn new(ema_period: usize, sum_period: usize) -> PyResult<Self> {
Ok(Self {
inner: wc::MassIndex::new(ema_period, sum_period).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 high + low columns (both 1-D, equal length).
fn batch<'py>(
&mut self,
py: Python<'py>,
high: PyReadonlyArray1<'py, f64>,
low: 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))?;
if h.len() != l.len() {
return Err(PyValueError::new_err("high and low must be equal length"));
}
let mut out = Vec::with_capacity(h.len());
for i in 0..h.len() {
let candle = wc::Candle::new(l[i], h[i], l[i], l[i], 0.0, 0).map_err(map_err)?;
out.push(self.inner.update(candle).unwrap_or(f64::NAN));
}
Ok(out.into_pyarray_bound(py))
}
#[getter]
fn periods(&self) -> (usize, usize) {
self.inner.periods()
}
#[getter]
fn value(&self) -> Option<f64> {
self.inner.value()
}
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 (e, s) = self.inner.periods();
format!("MassIndex(ema_period={e}, sum_period={s})")
}
}
// ============================== PPO ==============================
#[pyclass(name = "PPO", module = "wickra._wickra")]
@@ -2345,5 +2553,8 @@ fn _wickra(_py: Python<'_>, m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyPpo>()?;
m.add_class::<PyDpo>()?;
m.add_class::<PyCoppock>()?;
m.add_class::<PyAroonOscillator>()?;
m.add_class::<PyVortex>()?;
m.add_class::<PyMassIndex>()?;
Ok(())
}
+117
View File
@@ -372,6 +372,123 @@ impl WasmUltimateOscillator {
}
}
#[wasm_bindgen(js_name = AroonOscillator)]
pub struct WasmAroonOscillator {
inner: wc::AroonOscillator,
}
#[wasm_bindgen(js_class = AroonOscillator)]
impl WasmAroonOscillator {
#[wasm_bindgen(constructor)]
pub fn new(period: usize) -> Result<WasmAroonOscillator, JsError> {
Ok(Self {
inner: wc::AroonOscillator::new(period).map_err(map_err)?,
})
}
pub fn update(&mut self, high: f64, low: f64) -> Result<Option<f64>, JsError> {
let c = make_candle(high, low, low, 0.0)?;
Ok(self.inner.update(c))
}
pub fn batch(&mut self, high: &[f64], low: &[f64]) -> Result<Float64Array, JsError> {
if high.len() != low.len() {
return Err(JsError::new("high and low must be equal length"));
}
let mut out = Vec::with_capacity(high.len());
for i in 0..high.len() {
let c = make_candle(high[i], low[i], low[i], 0.0)?;
out.push(self.inner.update(c).unwrap_or(f64::NAN));
}
Ok(Float64Array::from(out.as_slice()))
}
pub fn reset(&mut self) {
self.inner.reset();
}
}
#[wasm_bindgen(js_name = Vortex)]
pub struct WasmVortex {
inner: wc::Vortex,
}
#[wasm_bindgen(js_class = Vortex)]
impl WasmVortex {
#[wasm_bindgen(constructor)]
pub fn new(period: usize) -> Result<WasmVortex, JsError> {
Ok(Self {
inner: wc::Vortex::new(period).map_err(map_err)?,
})
}
pub fn update(&mut self, high: f64, low: f64, close: f64) -> Result<JsValue, JsError> {
let c = make_candle(high, low, close, 0.0)?;
Ok(match self.inner.update(c) {
Some(o) => {
let obj = Object::new();
Reflect::set(&obj, &"plus".into(), &o.plus.into()).ok();
Reflect::set(&obj, &"minus".into(), &o.minus.into()).ok();
obj.into()
}
None => JsValue::NULL,
})
}
/// Returns `[plus0, minus0, plus1, minus1, ...]`, length `2 * n`. Warmup is NaN.
pub fn batch(
&mut self,
high: &[f64],
low: &[f64],
close: &[f64],
) -> Result<Float64Array, JsError> {
let n = high.len();
if low.len() != n || close.len() != n {
return Err(JsError::new("high, low, close must be equal length"));
}
let mut out = vec![f64::NAN; n * 2];
for i in 0..n {
let c = make_candle(high[i], low[i], close[i], 0.0)?;
if let Some(o) = self.inner.update(c) {
out[i * 2] = o.plus;
out[i * 2 + 1] = o.minus;
}
}
Ok(Float64Array::from(out.as_slice()))
}
pub fn reset(&mut self) {
self.inner.reset();
}
}
#[wasm_bindgen(js_name = MassIndex)]
pub struct WasmMassIndex {
inner: wc::MassIndex,
}
#[wasm_bindgen(js_class = MassIndex)]
impl WasmMassIndex {
#[wasm_bindgen(constructor)]
pub fn new(ema_period: usize, sum_period: usize) -> Result<WasmMassIndex, JsError> {
Ok(Self {
inner: wc::MassIndex::new(ema_period, sum_period).map_err(map_err)?,
})
}
pub fn update(&mut self, high: f64, low: f64) -> Result<Option<f64>, JsError> {
let c = make_candle(high, low, low, 0.0)?;
Ok(self.inner.update(c))
}
pub fn batch(&mut self, high: &[f64], low: &[f64]) -> Result<Float64Array, JsError> {
if high.len() != low.len() {
return Err(JsError::new("high and low must be equal length"));
}
let mut out = Vec::with_capacity(high.len());
for i in 0..high.len() {
let c = make_candle(high[i], low[i], low[i], 0.0)?;
out.push(self.inner.update(c).unwrap_or(f64::NAN));
}
Ok(Float64Array::from(out.as_slice()))
}
pub fn reset(&mut self) {
self.inner.reset();
}
}
#[wasm_bindgen(js_name = VWMA)]
pub struct WasmVwma {
inner: wc::Vwma,