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:
@@ -310,7 +310,7 @@ if (!nativeBinding) {
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throw new Error(`Failed to load native binding`)
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}
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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
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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
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module.exports.version = version
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module.exports.SMA = SMA
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@@ -336,6 +336,9 @@ module.exports.UltimateOscillator = UltimateOscillator
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module.exports.PPO = PPO
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module.exports.DPO = DPO
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module.exports.Coppock = Coppock
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module.exports.AroonOscillator = AroonOscillator
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module.exports.Vortex = Vortex
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module.exports.MassIndex = MassIndex
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module.exports.MACD = MACD
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module.exports.BollingerBands = BollingerBands
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module.exports.ATR = ATR
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@@ -1145,6 +1145,175 @@ impl PmoNode {
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// ============================== VWMA ==============================
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// ============================== Aroon Oscillator ==============================
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#[napi(js_name = "AroonOscillator")]
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pub struct AroonOscillatorNode {
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inner: wc::AroonOscillator,
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}
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#[napi]
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impl AroonOscillatorNode {
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#[napi(constructor)]
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pub fn new(period: u32) -> napi::Result<Self> {
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Ok(Self {
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inner: wc::AroonOscillator::new(period as usize).map_err(map_err)?,
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})
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}
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#[napi]
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pub fn update(&mut self, high: f64, low: f64) -> napi::Result<Option<f64>> {
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Ok(self.inner.update(cnd(high, low, low, 0.0)?))
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}
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#[napi]
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pub fn batch(&mut self, high: Vec<f64>, low: Vec<f64>) -> napi::Result<Vec<f64>> {
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if high.len() != low.len() {
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return Err(NapiError::from_reason(
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"high and low must be equal length".to_string(),
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));
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}
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let mut out = Vec::with_capacity(high.len());
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for i in 0..high.len() {
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out.push(
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self.inner
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.update(cnd(high[i], low[i], low[i], 0.0)?)
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.unwrap_or(f64::NAN),
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);
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}
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Ok(out)
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}
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#[napi]
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pub fn reset(&mut self) {
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self.inner.reset();
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}
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#[napi(js_name = "isReady")]
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pub fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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#[napi(js_name = "warmupPeriod")]
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pub fn warmup_period(&self) -> u32 {
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self.inner.warmup_period() as u32
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}
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}
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// ============================== Vortex ==============================
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/// Vortex Indicator pair: `VI+` and `VI-`.
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#[napi(object)]
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pub struct VortexValue {
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pub plus: f64,
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pub minus: f64,
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}
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#[napi(js_name = "Vortex")]
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pub struct VortexNode {
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inner: wc::Vortex,
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}
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#[napi]
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impl VortexNode {
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#[napi(constructor)]
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pub fn new(period: u32) -> napi::Result<Self> {
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Ok(Self {
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inner: wc::Vortex::new(period as usize).map_err(map_err)?,
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})
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}
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#[napi]
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pub fn update(&mut self, high: f64, low: f64, close: f64) -> napi::Result<Option<VortexValue>> {
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Ok(self
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.inner
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.update(cnd(high, low, close, 0.0)?)
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.map(|o| VortexValue {
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plus: o.plus,
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minus: o.minus,
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}))
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}
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/// Returns `[plus0, minus0, plus1, minus1, ...]`, length `2 * n`. Warmup is NaN.
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#[napi]
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pub fn batch(
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&mut self,
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high: Vec<f64>,
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low: Vec<f64>,
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close: Vec<f64>,
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) -> napi::Result<Vec<f64>> {
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if high.len() != low.len() || low.len() != close.len() {
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return Err(NapiError::from_reason(
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"high, low, close must be equal length".to_string(),
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));
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}
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let n = high.len();
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let mut out = vec![f64::NAN; n * 2];
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for i in 0..n {
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if let Some(o) = self.inner.update(cnd(high[i], low[i], close[i], 0.0)?) {
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out[i * 2] = o.plus;
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out[i * 2 + 1] = o.minus;
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}
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}
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Ok(out)
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}
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#[napi]
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pub fn reset(&mut self) {
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self.inner.reset();
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}
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#[napi(js_name = "isReady")]
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pub fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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#[napi(js_name = "warmupPeriod")]
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pub fn warmup_period(&self) -> u32 {
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self.inner.warmup_period() as u32
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}
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}
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// ============================== Mass Index ==============================
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#[napi(js_name = "MassIndex")]
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pub struct MassIndexNode {
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inner: wc::MassIndex,
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}
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#[napi]
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impl MassIndexNode {
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#[napi(constructor)]
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pub fn new(ema_period: u32, sum_period: u32) -> napi::Result<Self> {
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Ok(Self {
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inner: wc::MassIndex::new(ema_period as usize, sum_period as usize).map_err(map_err)?,
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})
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}
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#[napi]
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pub fn update(&mut self, high: f64, low: f64) -> napi::Result<Option<f64>> {
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Ok(self.inner.update(cnd(high, low, low, 0.0)?))
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}
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#[napi]
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pub fn batch(&mut self, high: Vec<f64>, low: Vec<f64>) -> napi::Result<Vec<f64>> {
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if high.len() != low.len() {
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return Err(NapiError::from_reason(
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"high and low must be equal length".to_string(),
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));
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}
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let mut out = Vec::with_capacity(high.len());
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for i in 0..high.len() {
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out.push(
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self.inner
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.update(cnd(high[i], low[i], low[i], 0.0)?)
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.unwrap_or(f64::NAN),
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);
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}
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Ok(out)
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}
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#[napi]
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pub fn reset(&mut self) {
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self.inner.reset();
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}
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#[napi(js_name = "isReady")]
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pub fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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#[napi(js_name = "warmupPeriod")]
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pub fn warmup_period(&self) -> u32 {
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self.inner.warmup_period() as u32
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}
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}
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// ============================== StochRSI ==============================
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#[napi(js_name = "StochRSI")]
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@@ -76,6 +76,55 @@ class TRIMA:
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@property
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def value(self) -> Optional[float]: ...
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class AroonOscillator:
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def __init__(self, period: int = 14) -> None: ...
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def update(self, candle: CandleLike) -> Optional[float]: ...
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def batch(
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self,
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high: NDArray[np.float64],
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low: NDArray[np.float64],
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) -> NDArray[np.float64]: ...
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def reset(self) -> None: ...
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def is_ready(self) -> bool: ...
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def warmup_period(self) -> int: ...
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@property
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def period(self) -> int: ...
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@property
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def value(self) -> Optional[float]: ...
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class Vortex:
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def __init__(self, period: int = 14) -> None: ...
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def update(self, candle: CandleLike) -> Optional[Tuple[float, float]]: ...
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def batch(
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self,
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high: NDArray[np.float64],
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low: NDArray[np.float64],
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close: NDArray[np.float64],
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) -> NDArray[np.float64]:
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"""Returns shape ``(n, 2)`` with columns ``[plus, minus]``."""
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...
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def reset(self) -> None: ...
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def is_ready(self) -> bool: ...
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def warmup_period(self) -> int: ...
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@property
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def period(self) -> int: ...
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class MassIndex:
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def __init__(self, ema_period: int = 9, sum_period: int = 25) -> None: ...
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def update(self, candle: CandleLike) -> Optional[float]: ...
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def batch(
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self,
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high: NDArray[np.float64],
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low: NDArray[np.float64],
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) -> NDArray[np.float64]: ...
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def reset(self) -> None: ...
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def is_ready(self) -> bool: ...
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def warmup_period(self) -> int: ...
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@property
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def periods(self) -> Tuple[int, int]: ...
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@property
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def value(self) -> Optional[float]: ...
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class PPO:
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def __init__(self, fast: int = 12, slow: int = 26) -> None: ...
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def update(self, value: float) -> Optional[float]: ...
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@@ -1519,6 +1519,214 @@ impl PyAroon {
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}
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}
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// ============================== Aroon Oscillator ==============================
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#[pyclass(name = "AroonOscillator", module = "wickra._wickra")]
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#[derive(Clone)]
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struct PyAroonOscillator {
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inner: wc::AroonOscillator,
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}
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#[pymethods]
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impl PyAroonOscillator {
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#[new]
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#[pyo3(signature = (period=14))]
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fn new(period: usize) -> PyResult<Self> {
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Ok(Self {
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inner: wc::AroonOscillator::new(period).map_err(map_err)?,
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})
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}
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fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<f64>> {
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let c = extract_candle(candle)?;
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Ok(self.inner.update(c))
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}
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/// Batch over numpy high + low columns (both 1-D, equal length).
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fn batch<'py>(
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&mut self,
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py: Python<'py>,
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high: PyReadonlyArray1<'py, f64>,
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low: PyReadonlyArray1<'py, f64>,
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) -> PyResult<Bound<'py, PyArray1<f64>>> {
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let h = high
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.as_slice()
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.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
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let l = low
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.as_slice()
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.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
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if h.len() != l.len() {
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return Err(PyValueError::new_err("high and low must be equal length"));
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}
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let mut out = Vec::with_capacity(h.len());
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for i in 0..h.len() {
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let candle = wc::Candle::new(l[i], h[i], l[i], l[i], 0.0, 0).map_err(map_err)?;
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out.push(self.inner.update(candle).unwrap_or(f64::NAN));
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}
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Ok(out.into_pyarray_bound(py))
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}
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#[getter]
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fn period(&self) -> usize {
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self.inner.period()
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}
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#[getter]
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fn value(&self) -> Option<f64> {
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self.inner.value()
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}
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fn reset(&mut self) {
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self.inner.reset();
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}
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fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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fn warmup_period(&self) -> usize {
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self.inner.warmup_period()
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}
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fn __repr__(&self) -> String {
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format!("AroonOscillator(period={})", self.inner.period())
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}
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}
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// ============================== Vortex ==============================
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#[pyclass(name = "Vortex", module = "wickra._wickra")]
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#[derive(Clone)]
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struct PyVortex {
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inner: wc::Vortex,
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}
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#[pymethods]
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impl PyVortex {
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#[new]
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#[pyo3(signature = (period=14))]
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fn new(period: usize) -> PyResult<Self> {
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Ok(Self {
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inner: wc::Vortex::new(period).map_err(map_err)?,
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})
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}
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/// Returns `(plus, minus)` or `None` during warmup.
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fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<(f64, f64)>> {
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let c = extract_candle(candle)?;
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Ok(self.inner.update(c).map(|o| (o.plus, o.minus)))
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}
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/// Batch over high/low/close numpy columns. Returns shape `(n, 2)` for `[plus, minus]`.
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fn batch<'py>(
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&mut self,
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py: Python<'py>,
|
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high: PyReadonlyArray1<'py, f64>,
|
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low: PyReadonlyArray1<'py, f64>,
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close: PyReadonlyArray1<'py, f64>,
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) -> PyResult<Bound<'py, PyArray2<f64>>> {
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let h = high
|
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.as_slice()
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.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
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let l = low
|
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.as_slice()
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.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
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let c = close
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.as_slice()
|
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.map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
|
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if h.len() != l.len() || l.len() != c.len() {
|
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return Err(PyValueError::new_err(
|
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"high, low, close must be equal length",
|
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));
|
||||
}
|
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let n = h.len();
|
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let mut out = vec![f64::NAN; n * 2];
|
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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)?;
|
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if let Some(o) = self.inner.update(candle) {
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out[i * 2] = o.plus;
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out[i * 2 + 1] = o.minus;
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||||
}
|
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}
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Ok(numpy::ndarray::Array2::from_shape_vec((n, 2), out)
|
||||
.expect("shape consistent")
|
||||
.into_pyarray_bound(py))
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||||
}
|
||||
#[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(())
|
||||
}
|
||||
|
||||
@@ -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,
|
||||
|
||||
Reference in New Issue
Block a user