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.

bindings/node/index.js

@@ -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

bindings/node/src/lib.rs

@@ -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")]

bindings/python/python/wickra/__init__.pyi

@@ -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]: ...

bindings/python/src/lib.rs

@@ -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(())
 }

bindings/wasm/src/lib.rs

@@ -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,

crates/wickra-core/src/indicators/aroon_oscillator.rs

@@ -0,0 +1,185 @@
+//! Aroon Oscillator.
+
+use crate::error::Result;
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+use super::Aroon;
+
+/// Aroon Oscillator — the single-line difference `AroonUp − AroonDown`.
+///
+/// The [`Aroon`] indicator reports two `[0, 100]` lines; the Aroon Oscillator
+/// collapses them into one value in `[−100, 100]`:
+///
+/// ```text
+/// AroonOscillator = AroonUp − AroonDown
+/// ```
+///
+/// Strongly positive means the most recent high is much fresher than the most
+/// recent low (an up-trend); strongly negative is the mirror image. Readings
+/// near zero mean neither extreme is recent — a range.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, AroonOscillator};
+///
+/// let mut indicator = AroonOscillator::new(5).unwrap();
+/// let mut last = None;
+/// for i in 0..80 {
+///     let base = 100.0 + i as f64;
+///     let candle =
+///         Candle::new(base, base + 2.0, base - 2.0, base + 1.0, 10.0, i64::from(i)).unwrap();
+///     last = indicator.update(candle);
+/// }
+/// assert_eq!(last, Some(100.0)); // pure uptrend
+/// ```
+#[derive(Debug, Clone)]
+pub struct AroonOscillator {
+    aroon: Aroon,
+    last: Option<f64>,
+}
+
+impl AroonOscillator {
+    /// Construct a new Aroon Oscillator with the given period.
+    ///
+    /// # Errors
+    ///
+    /// Returns [`crate::Error::PeriodZero`] if `period == 0`.
+    pub fn new(period: usize) -> Result<Self> {
+        Ok(Self {
+            aroon: Aroon::new(period)?,
+            last: None,
+        })
+    }
+
+    /// Configured period.
+    pub const fn period(&self) -> usize {
+        self.aroon.period()
+    }
+
+    /// Current value if available.
+    pub const fn value(&self) -> Option<f64> {
+        self.last
+    }
+}
+
+impl Indicator for AroonOscillator {
+    type Input = Candle;
+    type Output = f64;
+
+    fn update(&mut self, candle: Candle) -> Option<f64> {
+        let osc = self.aroon.update(candle).map(|o| o.up - o.down)?;
+        self.last = Some(osc);
+        Some(osc)
+    }
+
+    fn reset(&mut self) {
+        self.aroon.reset();
+        self.last = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        self.aroon.warmup_period()
+    }
+
+    fn is_ready(&self) -> bool {
+        self.last.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "AroonOscillator"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    fn candle(high: f64, low: f64, close: f64, ts: i64) -> Candle {
+        Candle::new(close, high, low, close, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn new_rejects_zero_period() {
+        assert!(AroonOscillator::new(0).is_err());
+    }
+
+    #[test]
+    fn pure_uptrend_yields_plus_100() {
+        // Every bar a fresh high, no fresh low: AroonUp = 100, AroonDown = 0.
+        let mut osc = AroonOscillator::new(5).unwrap();
+        let candles: Vec<Candle> = (0..30)
+            .map(|i| {
+                let p = 100.0 + i as f64;
+                candle(p + 1.0, p - 1.0, p, i)
+            })
+            .collect();
+        for v in osc.batch(&candles).into_iter().flatten() {
+            assert_relative_eq!(v, 100.0, epsilon = 1e-12);
+        }
+    }
+
+    #[test]
+    fn pure_downtrend_yields_minus_100() {
+        let mut osc = AroonOscillator::new(5).unwrap();
+        let candles: Vec<Candle> = (0..30)
+            .map(|i| {
+                let p = 100.0 - i as f64;
+                candle(p + 1.0, p - 1.0, p, i)
+            })
+            .collect();
+        for v in osc.batch(&candles).into_iter().flatten() {
+            assert_relative_eq!(v, -100.0, epsilon = 1e-12);
+        }
+    }
+
+    #[test]
+    fn output_stays_within_minus_100_and_100() {
+        let mut osc = AroonOscillator::new(14).unwrap();
+        let candles: Vec<Candle> = (0..200)
+            .map(|i| {
+                let mid = 100.0 + (i as f64 * 0.25).sin() * 12.0;
+                candle(mid + 2.0, mid - 2.0, mid, i)
+            })
+            .collect();
+        for v in osc.batch(&candles).into_iter().flatten() {
+            assert!((-100.0..=100.0).contains(&v), "out of range: {v}");
+        }
+    }
+
+    #[test]
+    fn warmup_period_matches_aroon() {
+        let osc = AroonOscillator::new(7).unwrap();
+        assert_eq!(osc.warmup_period(), 8);
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut osc = AroonOscillator::new(5).unwrap();
+        let candles: Vec<Candle> = (0..20)
+            .map(|i| candle(100.0 + i as f64, 90.0, 95.0, i))
+            .collect();
+        osc.batch(&candles);
+        assert!(osc.is_ready());
+        osc.reset();
+        assert!(!osc.is_ready());
+        assert_eq!(osc.update(candles[0]), None);
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..60)
+            .map(|i| {
+                let mid = 100.0 + (i as f64 * 0.3).sin() * 8.0;
+                candle(mid + 2.0, mid - 2.0, mid, i)
+            })
+            .collect();
+        let batch = AroonOscillator::new(14).unwrap().batch(&candles);
+        let mut b = AroonOscillator::new(14).unwrap();
+        let streamed: Vec<_> = candles.iter().map(|c| b.update(*c)).collect();
+        assert_eq!(batch, streamed);
+    }
+}

crates/wickra-core/src/indicators/mass_index.rs

@@ -0,0 +1,219 @@
+//! Mass Index.
+
+use std::collections::VecDeque;
+
+use crate::error::{Error, Result};
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+use super::Ema;
+
+/// Mass Index — Donald Dorsey's range-expansion indicator.
+///
+/// The Mass Index watches the high–low range, not direction. It smooths the
+/// range with an EMA, smooths that again, takes the ratio of the two, and sums
+/// the ratio over a window:
+///
+/// ```text
+/// range_t  = high_t − low_t
+/// ratio_t  = EMA(range, ema_period) / EMA(EMA(range, ema_period), ema_period)
+/// MassIndex = Σ ratio over sum_period
+/// ```
+///
+/// When the range widens, the single EMA pulls ahead of the double EMA, the
+/// ratio rises above `1`, and the sum climbs. Dorsey's "reversal bulge" is the
+/// Mass Index rising above `27` and then falling back below `26.5` — a sign
+/// that a range expansion is about to resolve into a trend reversal. With the
+/// conventional `(ema_period = 9, sum_period = 25)` a flat-range market sits at
+/// `25`.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, MassIndex};
+///
+/// let mut indicator = MassIndex::new(9, 25).unwrap();
+/// let mut last = None;
+/// for i in 0..80 {
+///     let base = 100.0 + i as f64;
+///     let candle =
+///         Candle::new(base, base + 2.0, base - 2.0, base, 10.0, i64::from(i)).unwrap();
+///     last = indicator.update(candle);
+/// }
+/// assert!(last.is_some());
+/// ```
+#[derive(Debug, Clone)]
+pub struct MassIndex {
+    ema_period: usize,
+    sum_period: usize,
+    ema1: Ema,
+    ema2: Ema,
+    /// Rolling window of the last `sum_period` EMA ratios.
+    window: VecDeque<f64>,
+    sum: f64,
+    last: Option<f64>,
+}
+
+impl MassIndex {
+    /// Construct a new Mass Index with the EMA smoothing period and the sum
+    /// window length.
+    ///
+    /// # Errors
+    ///
+    /// Returns [`Error::PeriodZero`] if either period is `0`.
+    pub fn new(ema_period: usize, sum_period: usize) -> Result<Self> {
+        if ema_period == 0 || sum_period == 0 {
+            return Err(Error::PeriodZero);
+        }
+        Ok(Self {
+            ema_period,
+            sum_period,
+            ema1: Ema::new(ema_period)?,
+            ema2: Ema::new(ema_period)?,
+            window: VecDeque::with_capacity(sum_period),
+            sum: 0.0,
+            last: None,
+        })
+    }
+
+    /// The `(ema_period, sum_period)` pair.
+    pub const fn periods(&self) -> (usize, usize) {
+        (self.ema_period, self.sum_period)
+    }
+
+    /// Current value if available.
+    pub const fn value(&self) -> Option<f64> {
+        self.last
+    }
+}
+
+impl Indicator for MassIndex {
+    type Input = Candle;
+    type Output = f64;
+
+    fn update(&mut self, candle: Candle) -> Option<f64> {
+        let range = candle.high - candle.low;
+        let single = self.ema1.update(range)?;
+        let double = self.ema2.update(single)?;
+        let ratio = if double == 0.0 {
+            // A zero-range market: no expansion, neutral ratio.
+            1.0
+        } else {
+            single / double
+        };
+        if self.window.len() == self.sum_period {
+            self.sum -= self.window.pop_front().expect("window is non-empty");
+        }
+        self.window.push_back(ratio);
+        self.sum += ratio;
+        if self.window.len() < self.sum_period {
+            return None;
+        }
+        self.last = Some(self.sum);
+        Some(self.sum)
+    }
+
+    fn reset(&mut self) {
+        self.ema1.reset();
+        self.ema2.reset();
+        self.window.clear();
+        self.sum = 0.0;
+        self.last = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        // ema1 seeds at `ema_period`, ema2 at `2·ema_period − 1`, then the sum
+        // window needs `sum_period` ratios.
+        2 * self.ema_period + self.sum_period - 2
+    }
+
+    fn is_ready(&self) -> bool {
+        self.last.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "MassIndex"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    /// A candle with a fixed high–low range `span` centred on `mid`.
+    fn candle(mid: f64, span: f64, ts: i64) -> Candle {
+        Candle::new(mid, mid + span / 2.0, mid - span / 2.0, mid, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn new_rejects_zero_period() {
+        assert!(matches!(MassIndex::new(0, 25), Err(Error::PeriodZero)));
+        assert!(matches!(MassIndex::new(9, 0), Err(Error::PeriodZero)));
+    }
+
+    #[test]
+    fn warmup_period_formula() {
+        let mi = MassIndex::new(9, 25).unwrap();
+        assert_eq!(mi.warmup_period(), 2 * 9 + 25 - 2);
+    }
+
+    #[test]
+    fn first_emission_at_warmup_period() {
+        let mut mi = MassIndex::new(3, 4).unwrap();
+        let warmup = mi.warmup_period(); // 2*3 + 4 - 2 = 8
+        assert_eq!(warmup, 8);
+        let candles: Vec<Candle> = (0..20).map(|i| candle(100.0 + i as f64, 2.0, i)).collect();
+        let out = mi.batch(&candles);
+        for v in out.iter().take(warmup - 1) {
+            assert!(v.is_none());
+        }
+        assert!(out[warmup - 1].is_some());
+    }
+
+    #[test]
+    fn constant_range_sums_to_sum_period() {
+        // A constant high–low range makes both EMAs converge to the same
+        // value, so every ratio is 1 and the Mass Index equals `sum_period`.
+        let mut mi = MassIndex::new(3, 4).unwrap();
+        let candles: Vec<Candle> = (0..40).map(|i| candle(100.0 + i as f64, 2.0, i)).collect();
+        for v in mi.batch(&candles).into_iter().flatten() {
+            assert_relative_eq!(v, 4.0, epsilon = 1e-9);
+        }
+    }
+
+    #[test]
+    fn zero_range_market_sums_to_sum_period() {
+        let mut mi = MassIndex::new(3, 4).unwrap();
+        let candles: Vec<Candle> = (0..40).map(|i| candle(100.0, 0.0, i)).collect();
+        for v in mi.batch(&candles).into_iter().flatten() {
+            assert_relative_eq!(v, 4.0, epsilon = 1e-12);
+        }
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut mi = MassIndex::new(3, 4).unwrap();
+        let candles: Vec<Candle> = (0..20).map(|i| candle(100.0 + i as f64, 2.0, i)).collect();
+        mi.batch(&candles);
+        assert!(mi.is_ready());
+        mi.reset();
+        assert!(!mi.is_ready());
+        assert_eq!(mi.update(candles[0]), None);
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..120)
+            .map(|i| {
+                let span = 2.0 + (i as f64 * 0.3).sin().abs() * 3.0;
+                candle(100.0 + (i as f64 * 0.2).cos() * 5.0, span, i)
+            })
+            .collect();
+        let batch = MassIndex::new(9, 25).unwrap().batch(&candles);
+        let mut b = MassIndex::new(9, 25).unwrap();
+        let streamed: Vec<_> = candles.iter().map(|c| b.update(*c)).collect();
+        assert_eq!(batch, streamed);
+    }
+}

crates/wickra-core/src/indicators/mod.rs

@@ -6,6 +6,7 @@
 
 mod adx;
 mod aroon;
+mod aroon_oscillator;
 mod atr;
 mod awesome_oscillator;
 mod bollinger;
@@ -20,6 +21,7 @@ mod hma;
 mod kama;
 mod keltner;
 mod macd;
+mod mass_index;
 mod mfi;
 mod mom;
 mod obv;
@@ -38,6 +40,7 @@ mod trima;
 mod trix;
 mod tsi;
 mod ultimate_oscillator;
+mod vortex;
 mod vwap;
 mod vwma;
 mod williams_r;
@@ -46,6 +49,7 @@ mod zlema;
 
 pub use adx::{Adx, AdxOutput};
 pub use aroon::{Aroon, AroonOutput};
+pub use aroon_oscillator::AroonOscillator;
 pub use atr::Atr;
 pub use awesome_oscillator::AwesomeOscillator;
 pub use bollinger::{BollingerBands, BollingerOutput};
@@ -60,6 +64,7 @@ pub use hma::Hma;
 pub use kama::Kama;
 pub use keltner::{Keltner, KeltnerOutput};
 pub use macd::{MacdIndicator, MacdOutput};
+pub use mass_index::MassIndex;
 pub use mfi::Mfi;
 pub use mom::Mom;
 pub use obv::Obv;
@@ -78,6 +83,7 @@ pub use trima::Trima;
 pub use trix::Trix;
 pub use tsi::Tsi;
 pub use ultimate_oscillator::UltimateOscillator;
+pub use vortex::{Vortex, VortexOutput};
 pub use vwap::{RollingVwap, Vwap};
 pub use vwma::Vwma;
 pub use williams_r::WilliamsR;

crates/wickra-core/src/indicators/vortex.rs

@@ -0,0 +1,249 @@
+//! Vortex Indicator.
+
+use std::collections::VecDeque;
+
+use crate::error::{Error, Result};
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+/// Vortex Indicator output: the two directional movement lines.
+#[derive(Debug, Clone, Copy, PartialEq)]
+pub struct VortexOutput {
+    /// `VI+` — strength of upward (positive) vortex movement.
+    pub plus: f64,
+    /// `VI−` — strength of downward (negative) vortex movement.
+    pub minus: f64,
+}
+
+/// Vortex Indicator — Botes & Siepman's pair of oscillators (`VI+`, `VI−`) that
+/// capture the relationship between two consecutive bars.
+///
+/// Two "vortex movements" measure how far price travelled against the opposite
+/// extreme of the previous bar; each is normalised by the summed true range:
+///
+/// ```text
+/// VM+_t = |high_t − low_{t−1}|
+/// VM−_t = |low_t  − high_{t−1}|
+/// VI+   = Σ VM+ over n / Σ TR over n
+/// VI−   = Σ VM− over n / Σ TR over n
+/// ```
+///
+/// `VI+` crossing above `VI−` is a bullish signal, the reverse a bearish one;
+/// the wider the gap, the stronger the trend. A fully flat window (zero true
+/// range) reports `(0, 0)`.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, Vortex};
+///
+/// let mut indicator = Vortex::new(14).unwrap();
+/// let mut last = None;
+/// for i in 0..80 {
+///     let base = 100.0 + i as f64;
+///     let candle =
+///         Candle::new(base, base + 2.0, base - 2.0, base + 1.0, 10.0, i64::from(i)).unwrap();
+///     last = indicator.update(candle);
+/// }
+/// assert!(last.is_some());
+/// ```
+#[derive(Debug, Clone)]
+pub struct Vortex {
+    period: usize,
+    prev: Option<Candle>,
+    /// Rolling window of `(VM+, VM−, TR)` triples.
+    window: VecDeque<(f64, f64, f64)>,
+    sum_vm_plus: f64,
+    sum_vm_minus: f64,
+    sum_tr: f64,
+    last: Option<VortexOutput>,
+}
+
+impl Vortex {
+    /// Construct a new Vortex Indicator with the given period.
+    ///
+    /// # Errors
+    ///
+    /// Returns [`Error::PeriodZero`] if `period == 0`.
+    pub fn new(period: usize) -> Result<Self> {
+        if period == 0 {
+            return Err(Error::PeriodZero);
+        }
+        Ok(Self {
+            period,
+            prev: None,
+            window: VecDeque::with_capacity(period),
+            sum_vm_plus: 0.0,
+            sum_vm_minus: 0.0,
+            sum_tr: 0.0,
+            last: None,
+        })
+    }
+
+    /// Configured period.
+    pub const fn period(&self) -> usize {
+        self.period
+    }
+
+    /// Current value if available.
+    pub const fn value(&self) -> Option<VortexOutput> {
+        self.last
+    }
+}
+
+impl Indicator for Vortex {
+    type Input = Candle;
+    type Output = VortexOutput;
+
+    fn update(&mut self, candle: Candle) -> Option<VortexOutput> {
+        let Some(prev) = self.prev else {
+            // The first bar has no predecessor to measure against.
+            self.prev = Some(candle);
+            return None;
+        };
+        let vm_plus = (candle.high - prev.low).abs();
+        let vm_minus = (candle.low - prev.high).abs();
+        let tr = candle.true_range(Some(prev.close));
+        self.prev = Some(candle);
+
+        if self.window.len() == self.period {
+            let (old_p, old_m, old_tr) = self.window.pop_front().expect("window is non-empty");
+            self.sum_vm_plus -= old_p;
+            self.sum_vm_minus -= old_m;
+            self.sum_tr -= old_tr;
+        }
+        self.window.push_back((vm_plus, vm_minus, tr));
+        self.sum_vm_plus += vm_plus;
+        self.sum_vm_minus += vm_minus;
+        self.sum_tr += tr;
+
+        if self.window.len() < self.period {
+            return None;
+        }
+        let out = if self.sum_tr == 0.0 {
+            // A perfectly flat window has no range to normalise against.
+            VortexOutput {
+                plus: 0.0,
+                minus: 0.0,
+            }
+        } else {
+            VortexOutput {
+                plus: self.sum_vm_plus / self.sum_tr,
+                minus: self.sum_vm_minus / self.sum_tr,
+            }
+        };
+        self.last = Some(out);
+        Some(out)
+    }
+
+    fn reset(&mut self) {
+        self.prev = None;
+        self.window.clear();
+        self.sum_vm_plus = 0.0;
+        self.sum_vm_minus = 0.0;
+        self.sum_tr = 0.0;
+        self.last = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        // The first VM/TR triple needs a previous bar, then the window fills.
+        self.period + 1
+    }
+
+    fn is_ready(&self) -> bool {
+        self.last.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "Vortex"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    fn candle(open: f64, high: f64, low: f64, close: f64, ts: i64) -> Candle {
+        Candle::new(open, high, low, close, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn new_rejects_zero_period() {
+        assert!(matches!(Vortex::new(0), Err(Error::PeriodZero)));
+    }
+
+    #[test]
+    fn reference_values() {
+        // Vortex(2) over three explicit candles (high, low, close):
+        //   c1 = (10, 8, 9), c2 = (12, 9, 11), c3 = (13, 11, 12).
+        // bar 2: VM+ = |12-8| = 4, VM- = |9-10| = 1, TR = 3.
+        // bar 3: VM+ = |13-9| = 4, VM- = |11-12| = 1, TR = 2.
+        // window sums: VM+ = 8, VM- = 2, TR = 5 -> VI+ = 1.6, VI- = 0.4.
+        let candles = [
+            candle(9.0, 10.0, 8.0, 9.0, 0),
+            candle(10.0, 12.0, 9.0, 11.0, 1),
+            candle(12.0, 13.0, 11.0, 12.0, 2),
+        ];
+        let mut v = Vortex::new(2).unwrap();
+        let out = v.batch(&candles);
+        assert_eq!(v.warmup_period(), 3);
+        assert_eq!(out[0], None);
+        assert_eq!(out[1], None);
+        let o = out[2].unwrap();
+        assert_relative_eq!(o.plus, 1.6, epsilon = 1e-12);
+        assert_relative_eq!(o.minus, 0.4, epsilon = 1e-12);
+    }
+
+    #[test]
+    fn perfectly_flat_market_yields_zero() {
+        let mut v = Vortex::new(5).unwrap();
+        let candles: Vec<Candle> = (0..20).map(|i| candle(10.0, 10.0, 10.0, 10.0, i)).collect();
+        for o in v.batch(&candles).into_iter().flatten() {
+            assert_relative_eq!(o.plus, 0.0, epsilon = 1e-12);
+            assert_relative_eq!(o.minus, 0.0, epsilon = 1e-12);
+        }
+    }
+
+    #[test]
+    fn outputs_are_non_negative() {
+        let mut v = Vortex::new(14).unwrap();
+        let candles: Vec<Candle> = (0..120)
+            .map(|i| {
+                let mid = 100.0 + (i as f64 * 0.3).sin() * 10.0;
+                candle(mid, mid + 3.0, mid - 3.0, mid + 1.0, i)
+            })
+            .collect();
+        for o in v.batch(&candles).into_iter().flatten() {
+            assert!(o.plus >= 0.0 && o.minus >= 0.0, "negative VI: {o:?}");
+        }
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut v = Vortex::new(5).unwrap();
+        let candles: Vec<Candle> = (0..20)
+            .map(|i| candle(100.0, 102.0, 98.0, 101.0, i))
+            .collect();
+        v.batch(&candles);
+        assert!(v.is_ready());
+        v.reset();
+        assert!(!v.is_ready());
+        assert_eq!(v.update(candles[0]), None);
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..80)
+            .map(|i| {
+                let mid = 100.0 + (i as f64 * 0.35).sin() * 9.0;
+                candle(mid, mid + 2.5, mid - 2.5, mid + 0.5, i)
+            })
+            .collect();
+        let batch = Vortex::new(14).unwrap().batch(&candles);
+        let mut b = Vortex::new(14).unwrap();
+        let streamed: Vec<_> = candles.iter().map(|c| b.update(*c)).collect();
+        assert_eq!(batch, streamed);
+    }
+}

crates/wickra-core/src/lib.rs

@@ -44,11 +44,11 @@ pub mod indicators;
 
 pub use error::{Error, Result};
 pub use indicators::{
-    Adx, AdxOutput, Aroon, AroonOutput, Atr, AwesomeOscillator, BollingerBands, BollingerOutput,
-    Cci, Cmo, Coppock, Dema, Donchian, DonchianOutput, Dpo, Ema, Hma, Kama, Keltner, KeltnerOutput,
-    MacdIndicator, MacdOutput, Mfi, Mom, Obv, Pmo, Ppo, Psar, Roc, RollingVwap, Rsi, Sma, Smma,
-    StochRsi, Stochastic, StochasticOutput, Tema, Trima, Trix, Tsi, UltimateOscillator, Vwap, Vwma,
-    WilliamsR, Wma, Zlema, T3,
+    Adx, AdxOutput, Aroon, AroonOscillator, AroonOutput, Atr, AwesomeOscillator, BollingerBands,
+    BollingerOutput, Cci, Cmo, Coppock, Dema, Donchian, DonchianOutput, Dpo, Ema, Hma, Kama,
+    Keltner, KeltnerOutput, MacdIndicator, MacdOutput, MassIndex, Mfi, Mom, Obv, Pmo, Ppo, Psar,
+    Roc, RollingVwap, Rsi, Sma, Smma, StochRsi, Stochastic, StochasticOutput, Tema, Trima, Trix,
+    Tsi, UltimateOscillator, Vortex, VortexOutput, Vwap, Vwma, WilliamsR, Wma, Zlema, T3,
 };
 pub use ohlcv::{Candle, Tick};
 pub use traits::{BatchExt, Chain, Indicator};

docs/wiki/Home.md

@@ -107,6 +107,9 @@ Rust / Python / Node examples. They are grouped by family, mirroring the
 - [Indicator-Ppo.md](indicators/momentum/Indicator-Ppo.md)
 - [Indicator-Dpo.md](indicators/momentum/Indicator-Dpo.md)
 - [Indicator-Coppock.md](indicators/momentum/Indicator-Coppock.md)
+- [Indicator-AroonOscillator.md](indicators/momentum/Indicator-AroonOscillator.md)
+- [Indicator-Vortex.md](indicators/momentum/Indicator-Vortex.md)
+- [Indicator-MassIndex.md](indicators/momentum/Indicator-MassIndex.md)
 
 **Volatility** — envelope width and per-bar dispersion measures.
 

docs/wiki/Indicators-Overview.md

@@ -1,6 +1,6 @@
 # Indicators Overview
 
-Wickra ships 39 indicators, organised in source under the four classical
+Wickra ships 42 indicators, organised in source under the four classical
 families — trend, momentum, volatility, volume — that map directly to the
 directory structure of `crates/wickra-core/src/indicators/`. The same family
 labels are used here, plus a second-level grouping that reflects how the
@@ -112,6 +112,9 @@ Centered on zero or driven by raw price differences; no fixed cap.
 | Indicator | One-liner | Input | Output | Range | Defaults | Warmup | Deep dive |
 |-----------|-----------|-------|--------|-------|----------|--------|-----------|
 | `Adx`     | Wilder's directional system: `+DI`, `−DI` (each `[0, 100]`) and `ADX` trend-strength index. | `Candle` | `(plus_di, minus_di, adx)` | each in `[0, 100]` | `period = 14` (Python) | `2·period` | [Indicator-Adx.md](indicators/momentum/Indicator-Adx.md) |
+| `AroonOscillator` | `AroonUp − AroonDown`; the two Aroon lines as one trend gauge. | `Candle` | `f64` | `[−100, 100]` | `period = 14` (Python) | `period + 1` | [Indicator-AroonOscillator.md](indicators/momentum/Indicator-AroonOscillator.md) |
+| `Vortex`  | Vortex Indicator `VI+` / `VI−`; crossings mark trend onset. | `Candle` | `(plus, minus)` | each `>= 0` | `period = 14` (Python) | `period + 1` | [Indicator-Vortex.md](indicators/momentum/Indicator-Vortex.md) |
+| `MassIndex` | Dorsey's range-expansion sum of the EMA-of-range ratio. | `Candle` | `f64` | `> 0` (around `sum_period`) | `(ema_period=9, sum_period=25)` (Python) | `2·ema_period + sum_period − 2` | [Indicator-MassIndex.md](indicators/momentum/Indicator-MassIndex.md) |
 
 ## Volatility
 

docs/wiki/indicators/momentum/Indicator-AroonOscillator.md

@@ -0,0 +1,159 @@
+# AroonOscillator
+
+> Aroon Oscillator — the single-line difference `AroonUp − AroonDown`,
+> condensing the two Aroon lines into one trend gauge.
+
+## Quick reference
+
+| Field | Value |
+|-------|-------|
+| Family | Momentum (trend strength) |
+| Sub-category | Bounded oscillators |
+| Input type | `Candle` (uses `high`, `low`) |
+| Output type | `f64` |
+| Output range | `[−100, 100]` |
+| Default parameters | `period = 14` (Python) |
+| Warmup period | `period + 1` |
+| Interpretation | Positive = up-trend, negative = down-trend, near zero = range. |
+
+## Formula
+
+```
+AroonOscillator = AroonUp − AroonDown
+```
+
+where [`Aroon`](Indicator-Aroon.md) reports two `[0, 100]` lines measuring
+how recently the window's highest high and lowest low occurred. Their
+difference lives in `[−100, 100]`: strongly positive means the most recent
+high is much fresher than the most recent low (an up-trend); strongly
+negative is the mirror image; near zero means neither extreme is recent.
+
+## Parameters
+
+| Name     | Type    | Default       | Valid range | Description |
+|----------|---------|---------------|-------------|-------------|
+| `period` | `usize` | `14` (Python) | `>= 1`      | Aroon lookback window. `0` errors with `Error::PeriodZero`. |
+
+The Python binding defaults `period` to `14`.
+
+## Inputs / Outputs
+
+From `crates/wickra-core/src/indicators/aroon_oscillator.rs`:
+
+```rust
+impl Indicator for AroonOscillator {
+    type Input = Candle;
+    type Output = f64;
+    // update(&mut self, input: Candle) -> Option<f64>
+}
+```
+
+`AroonOscillator` is a **candle-input** indicator: it reads `high` and
+`low`. In Python the streaming `update` accepts a 6-tuple or a dict; the
+batch helper takes `high` and `low` numpy arrays. Node and WASM expose
+`update(high, low)` and `batch(high, low)`.
+
+## Warmup
+
+`AroonOscillator::new(period).warmup_period() == period + 1` — identical
+to the underlying `Aroon`, which needs a `period + 1`-bar window before
+the first reading.
+
+## Edge cases
+
+- **Pure trend.** A series of fresh highs gives `AroonUp = 100`,
+  `AroonDown = 0`, so the oscillator is `+100`; a series of fresh lows is
+  `−100` (`pure_uptrend_yields_plus_100` /
+  `pure_downtrend_yields_minus_100` pin this).
+- **Bounds.** The output is always within `[−100, 100]`
+  (`output_stays_within_minus_100_and_100` pins this).
+- **Candle validation.** `Candle::new` rejects invalid bars before
+  `update` ever sees them.
+- **Reset.** `osc.reset()` clears the underlying Aroon window.
+
+## Examples
+
+### Rust
+
+```rust
+use wickra::{BatchExt, Candle, Indicator, AroonOscillator};
+
+fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let mut osc = AroonOscillator::new(5)?;
+    // 30 bars, each a fresh high.
+    let candles: Vec<Candle> = (0..30)
+        .map(|i| {
+            let p = 100.0 + f64::from(i);
+            Candle::new(p, p + 1.0, p - 1.0, p, 1.0, i64::from(i)).unwrap()
+        })
+        .collect();
+    let out = osc.batch(&candles);
+    println!("last = {:?}", out.last().unwrap());
+    Ok(())
+}
+```
+
+Output:
+
+```
+last = Some(100.0)
+```
+
+Every bar is a fresh high and never a fresh low, so the oscillator pins at
+`+100`. This matches the `pure_uptrend_yields_plus_100` test in
+`crates/wickra-core/src/indicators/aroon_oscillator.rs`.
+
+### Python
+
+```python
+import numpy as np
+import wickra as ta
+
+osc = ta.AroonOscillator(14)
+high = np.arange(100.0, 140.0)
+low = high - 2.0
+print(osc.batch(high, low)[-1])  # steady uptrend -> 100
+```
+
+Output:
+
+```
+100.0
+```
+
+### Node
+
+```javascript
+const ta = require('wickra');
+const osc = new ta.AroonOscillator(14);
+const high = Array.from({ length: 40 }, (_, i) => 100 + i);
+const low = high.map((h) => h - 2);
+console.log(osc.batch(high, low).at(-1)); // 100
+```
+
+## Interpretation
+
+`AroonOscillator` is a compact trend gauge. The two canonical reads are
+the zero-line cross (`AroonUp` overtaking `AroonDown` or vice versa — a
+trend change) and the magnitude (values pinned near `±100` confirm a
+strong, uninterrupted trend; values oscillating near zero confirm a
+range). Use it where the two-line `Aroon` is more detail than you need.
+
+## Common pitfalls
+
+- **Feeding it scalar prices.** It needs `high`/`low`; it takes a
+  `Candle`, not an `f64`.
+- **Expecting the `[0, 100]` Aroon scale.** The oscillator is signed and
+  spans `[−100, 100]`.
+
+## References
+
+Tushar Chande's Aroon system (1995); the oscillator is the standard
+`AroonUp − AroonDown` difference.
+
+## See also
+
+- [Indicator-Aroon.md](Indicator-Aroon.md) — the two-line indicator this
+  collapses.
+- [Indicator-Adx.md](Indicator-Adx.md) — another trend-strength gauge.
+- [Indicators-Overview.md](../../Indicators-Overview.md) — the full taxonomy.

docs/wiki/indicators/momentum/Indicator-MassIndex.md

@@ -0,0 +1,173 @@
+# MassIndex
+
+> Mass Index — Donald Dorsey's range-expansion indicator: it watches the
+> high–low range widen and contract to anticipate reversals.
+
+## Quick reference
+
+| Field | Value |
+|-------|-------|
+| Family | Momentum (trend strength) |
+| Sub-category | Range expansion |
+| Input type | `Candle` (uses `high`, `low`) |
+| Output type | `f64` |
+| Output range | `> 0`, oscillates around `sum_period` |
+| Default parameters | `(ema_period = 9, sum_period = 25)` (Python) |
+| Warmup period | `2·ema_period + sum_period − 2` |
+| Interpretation | A rise above `27` then fall below `26.5` flags a reversal. |
+
+## Formula
+
+```
+range_t   = high_t − low_t
+single_t  = EMA(range, ema_period)_t
+double_t  = EMA(single, ema_period)_t
+ratio_t   = single_t / double_t
+MassIndex = Σ ratio over sum_period
+```
+
+The Mass Index ignores direction entirely — it tracks **volatility shape**.
+When the high–low range widens, the single EMA pulls ahead of the double
+EMA, the ratio climbs above `1`, and the windowed sum rises. Dorsey's
+"reversal bulge" is the classic pattern: the Mass Index rising above `27`
+and then falling back below `26.5` warns that a range expansion is about
+to resolve — often into a trend reversal.
+
+## Parameters
+
+| Name         | Type    | Default       | Valid range | Description |
+|--------------|---------|---------------|-------------|-------------|
+| `ema_period` | `usize` | `9` (Python)  | `>= 1`      | Period of both EMAs in the cascade. `0` errors with `Error::PeriodZero`. |
+| `sum_period` | `usize` | `25` (Python) | `>= 1`      | Length of the summation window. |
+
+The Python binding defaults the pair to `(9, 25)`. The `periods` property
+returns `(ema_period, sum_period)`.
+
+## Inputs / Outputs
+
+From `crates/wickra-core/src/indicators/mass_index.rs`:
+
+```rust
+impl Indicator for MassIndex {
+    type Input = Candle;
+    type Output = f64;
+    // update(&mut self, input: Candle) -> Option<f64>
+}
+```
+
+`MassIndex` is a **candle-input** indicator: it reads `high` and `low`. In
+Python the streaming `update` accepts a 6-tuple or a dict; the batch
+helper takes `high` and `low` numpy arrays. Node and WASM expose
+`update(high, low)` and `batch(high, low)`.
+
+## Warmup
+
+`warmup_period() == 2·ema_period + sum_period − 2`. The first EMA seeds at
+input `ema_period`; the second EMA, stacked on it, seeds at
+`2·ema_period − 1`; the summation window then needs `sum_period` ratios.
+For the default `(9, 25)` that is `41` bars.
+
+## Edge cases
+
+- **Constant range.** When every bar has the same high–low range, both
+  EMAs converge to the same value, every ratio is `1`, and the Mass Index
+  equals `sum_period` (`constant_range_sums_to_sum_period` pins this).
+- **Zero-range market.** A flat market (`high == low`) drives both EMAs to
+  `0`; the `0 / 0` is guarded with the neutral ratio `1`, so the Mass
+  Index again equals `sum_period`
+  (`zero_range_market_sums_to_sum_period` pins this).
+- **Candle validation.** `Candle::new` rejects invalid bars upstream.
+- **Reset.** `mi.reset()` clears both EMAs, the window and the sum.
+
+## Examples
+
+### Rust
+
+```rust
+use wickra::{BatchExt, Candle, Indicator, MassIndex};
+
+fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let mut mi = MassIndex::new(3, 4)?;
+    // Constant high-low range of 2.0; the Mass Index settles at sum_period.
+    let candles: Vec<Candle> = (0..40)
+        .map(|i| {
+            let mid = 100.0 + f64::from(i);
+            Candle::new(mid, mid + 1.0, mid - 1.0, mid, 1.0, i64::from(i)).unwrap()
+        })
+        .collect();
+    let out = mi.batch(&candles);
+    println!("warmup_period = {}", mi.warmup_period());
+    println!("last = {:?}", out.last().unwrap());
+    Ok(())
+}
+```
+
+Output:
+
+```
+warmup_period = 8
+last = Some(4.0)
+```
+
+A constant range makes every ratio `1`, so the sum equals `sum_period`
+(`4`). This matches the `constant_range_sums_to_sum_period` test in
+`crates/wickra-core/src/indicators/mass_index.rs`.
+
+### Python
+
+```python
+import numpy as np
+import wickra as ta
+
+mi = ta.MassIndex()  # (ema_period=9, sum_period=25)
+mid = np.arange(100.0, 160.0)
+high = mid + 1.0
+low = mid - 1.0
+print(mi.batch(high, low)[-1])  # constant range -> 25
+```
+
+Output:
+
+```
+25.0
+```
+
+### Node
+
+```javascript
+const ta = require('wickra');
+const mi = new ta.MassIndex(9, 25);
+const mid = Array.from({ length: 60 }, (_, i) => 100 + i);
+const high = mid.map((m) => m + 1);
+const low = mid.map((m) => m - 1);
+console.log(mi.batch(high, low).at(-1)); // 25
+```
+
+## Interpretation
+
+`MassIndex` is a *reversal-warning* tool, not a direction tool — it never
+tells you which way price will go, only that a turn is likely. The textbook
+use is the "reversal bulge" on the default `(9, 25)` settings: watch for
+the index to push above `27`, then act when it drops back under `26.5`,
+using a directional indicator (a moving average, ADX) to pick the side.
+
+## Common pitfalls
+
+- **Expecting a direction.** The Mass Index is direction-blind; always
+  pair it with a trend indicator.
+- **Feeding it scalar prices.** It needs `high`/`low`; it takes a
+  `Candle`, not an `f64`.
+
+## References
+
+Donald Dorsey, "The Mass Index", *Technical Analysis of Stocks &
+Commodities* (1992). The double-EMA-of-range construction and the `(9,
+25)` defaults follow Dorsey's original.
+
+## See also
+
+- [Indicator-Atr.md](../volatility/Indicator-Atr.md) — directional-free
+  volatility in price units.
+- [Indicator-BollingerBands.md](../volatility/Indicator-BollingerBands.md)
+  — another range-expansion lens.
+- [Indicators-Overview.md](../../Indicators-Overview.md) — the full taxonomy.

docs/wiki/indicators/momentum/Indicator-Vortex.md

@@ -0,0 +1,160 @@
+# Vortex
+
+> Vortex Indicator — a pair of oscillators (`VI+`, `VI−`) whose crossings
+> identify the start of a new trend.
+
+## Quick reference
+
+| Field | Value |
+|-------|-------|
+| Family | Momentum (trend strength) |
+| Sub-category | Directional |
+| Input type | `Candle` (uses `high`, `low`, `close`) |
+| Output type | `VortexOutput { plus, minus }` |
+| Output range | each line `>= 0`, typically around `1.0` |
+| Default parameters | `period = 14` (Python) |
+| Warmup period | `period + 1` |
+| Interpretation | `VI+` above `VI−` = up-trend; the cross marks the turn. |
+
+## Formula
+
+```
+VM+_t = |high_t − low_{t−1}|        (positive vortex movement)
+VM−_t = |low_t  − high_{t−1}|       (negative vortex movement)
+TR_t  = true range
+VI+   = Σ VM+ over period / Σ TR over period
+VI−   = Σ VM− over period / Σ TR over period
+```
+
+Each vortex movement measures how far this bar reached against the
+*opposite* extreme of the previous bar; dividing the running sums by the
+running true range normalises both lines to a comparable scale around
+`1.0`. `VI+` crossing above `VI−` signals a new up-trend; the reverse, a
+down-trend.
+
+## Parameters
+
+| Name     | Type    | Default       | Valid range | Description |
+|----------|---------|---------------|-------------|-------------|
+| `period` | `usize` | `14` (Python) | `>= 1`      | Summation window. `0` errors with `Error::PeriodZero`. |
+
+The Python binding defaults `period` to `14`.
+
+## Inputs / Outputs
+
+From `crates/wickra-core/src/indicators/vortex.rs`:
+
+```rust
+pub struct VortexOutput { pub plus: f64, pub minus: f64 }
+
+impl Indicator for Vortex {
+    type Input = Candle;
+    type Output = VortexOutput;
+}
+```
+
+`Vortex` is a **candle-input** indicator reading `high`, `low` and
+`close`. The streaming `update` returns `VortexOutput` (Rust),
+`(plus, minus)` (Python), or `{ plus, minus }` (Node/WASM). The batch
+helper returns one row per input — a `(n, 2)` numpy array in Python, a
+flat `[plus, minus, …]` array of length `2·n` in Node/WASM, with `NaN`
+during warmup.
+
+## Warmup
+
+`Vortex::new(period).warmup_period() == period + 1`. The first VM/TR
+triple needs a previous bar, so it forms on bar 2; the summation window
+then needs `period` triples — the first output lands on input
+`period + 1`.
+
+## Edge cases
+
+- **Flat market.** A window with zero total true range cannot be
+  normalised; both lines are reported as `0.0`
+  (`perfectly_flat_market_yields_zero` pins this).
+- **Non-negative.** Both `VI+` and `VI−` are sums of absolute values over
+  a non-negative range, so neither is ever negative
+  (`outputs_are_non_negative` pins this).
+- **Candle validation.** `Candle::new` rejects invalid bars upstream.
+- **Reset.** `vortex.reset()` clears the previous bar, the window and the
+  three running sums.
+
+## Examples
+
+### Rust
+
+```rust
+use wickra::{BatchExt, Candle, Indicator, Vortex};
+
+fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let candles = [
+        Candle::new(9.0, 10.0, 8.0, 9.0, 1.0, 0)?,
+        Candle::new(10.0, 12.0, 9.0, 11.0, 1.0, 1)?,
+        Candle::new(12.0, 13.0, 11.0, 12.0, 1.0, 2)?,
+    ];
+    let mut v = Vortex::new(2)?;
+    let out = v.batch(&candles);
+    println!("{:?}", out[2]);
+    Ok(())
+}
+```
+
+Output:
+
+```
+Some(VortexOutput { plus: 1.6, minus: 0.4 })
+```
+
+Over the two formed bars `Σ VM+ = 8`, `Σ VM− = 2`, `Σ TR = 5`, giving
+`VI+ = 1.6` and `VI− = 0.4`. This matches the `reference_values` test in
+`crates/wickra-core/src/indicators/vortex.rs`.
+
+### Python
+
+```python
+import numpy as np
+import wickra as ta
+
+v = ta.Vortex(14)
+high = np.array([10.0, 12.0, 13.0])
+low = np.array([8.0, 9.0, 11.0])
+close = np.array([9.0, 11.0, 12.0])
+# v.batch(high, low, close) -> (3, 2) array of [plus, minus], NaN during warmup
+print(v.update((9.0, 10.0, 8.0, 9.0, 1.0, 0)))
+```
+
+### Node
+
+```javascript
+const ta = require('wickra');
+const v = new ta.Vortex(14);
+console.log(v.update(12, 9, 11)); // { plus, minus } or null during warmup
+```
+
+## Interpretation
+
+`Vortex` is a trend-onset detector. The signal is the **crossing**: when
+`VI+` rises above `VI−`, a new up-trend is starting; when `VI−` rises
+above `VI+`, a down-trend. The gap between the lines measures conviction —
+a wide, widening gap is a strong trend, converging lines warn of a stall.
+Unlike a lagging moving-average cross, the vortex movements react to the
+*reach* of each bar, so the cross tends to fire early.
+
+## Common pitfalls
+
+- **Reading the lines in isolation.** A `VI+` of `1.1` means nothing on
+  its own — what matters is its position relative to `VI−`.
+- **Feeding it scalar prices.** It needs `high`/`low`/`close`.
+
+## References
+
+Etienne Botes and Douglas Siepman, "The Vortex Indicator", *Technical
+Analysis of Stocks & Commodities* (2010). The `VM±` / true-range
+definition here follows their original.
+
+## See also
+
+- [Indicator-Adx.md](Indicator-Adx.md) — Wilder's directional system.
+- [Indicator-Atr.md](../volatility/Indicator-Atr.md) — the true range
+  Vortex normalises against.
+- [Indicators-Overview.md](../../Indicators-Overview.md) — the full taxonomy.