feat: microstructure price-impact & depth indicators (part 3 of 4) (#122)
* feat: effective spread microstructure indicator (part 3 of 4) * feat: realized spread microstructure indicator (part 3 of 4) * feat: kyle's lambda microstructure indicator (part 3 of 4) * feat: depth slope microstructure indicator (part 3 of 4)
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@@ -11714,6 +11714,7 @@ py_ob_indicator!(
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);
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py_ob_indicator!(PyMicroprice, wc::Microprice, "Microprice");
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py_ob_indicator!(PyQuotedSpread, wc::QuotedSpread, "QuotedSpread");
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py_ob_indicator!(PyDepthSlope, wc::DepthSlope, "DepthSlope");
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// Top-N imbalance carries a `levels` parameter, so it is hand-written.
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#[pyclass(
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@@ -11902,6 +11903,198 @@ impl PyTradeImbalance {
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}
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}
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// ============================== Microstructure: Price Impact ==============================
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//
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// Price-impact indicators consume a trade paired with the mid prevailing at
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// execution. Streaming `update(price, size, is_buy, mid)` takes one such
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// trade-quote (`is_buy=True` for a buyer-initiated trade); `batch` takes four
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// equal-length arrays.
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fn build_trade_quote(price: f64, size: f64, is_buy: bool, mid: f64) -> PyResult<wc::TradeQuote> {
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let trade = build_trade(price, size, is_buy)?;
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wc::TradeQuote::new(trade, mid).map_err(map_err)
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}
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macro_rules! py_trade_quote_indicator {
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($name:ident, $inner:ty, $repr:expr) => {
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#[pyclass(name = $repr, module = "wickra._wickra", skip_from_py_object)]
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#[derive(Clone)]
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struct $name {
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inner: $inner,
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}
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#[pymethods]
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impl $name {
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#[new]
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fn new() -> Self {
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Self {
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inner: <$inner>::new(),
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}
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}
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fn update(
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&mut self,
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price: f64,
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size: f64,
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is_buy: bool,
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mid: f64,
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) -> PyResult<Option<f64>> {
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Ok(self
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.inner
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.update(build_trade_quote(price, size, is_buy, mid)?))
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}
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fn batch<'py>(
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&mut self,
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py: Python<'py>,
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price: Vec<f64>,
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size: Vec<f64>,
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is_buy: Vec<bool>,
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mid: Vec<f64>,
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) -> PyResult<Bound<'py, PyArray1<f64>>> {
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if price.len() != size.len()
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|| size.len() != is_buy.len()
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|| is_buy.len() != mid.len()
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{
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return Err(PyValueError::new_err(
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"price, size, is_buy, mid must be equal length",
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));
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}
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let mut out = Vec::with_capacity(price.len());
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for i in 0..price.len() {
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let quote = build_trade_quote(price[i], size[i], is_buy[i], mid[i])?;
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out.push(self.inner.update(quote).unwrap_or(f64::NAN));
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}
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Ok(out.into_pyarray(py))
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}
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fn reset(&mut self) {
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self.inner.reset();
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}
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fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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fn warmup_period(&self) -> usize {
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self.inner.warmup_period()
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}
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fn __repr__(&self) -> String {
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format!("{}()", $repr)
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}
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}
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};
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}
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py_trade_quote_indicator!(PyEffectiveSpread, wc::EffectiveSpread, "EffectiveSpread");
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// Realized spread carries a `horizon` parameter, so it is hand-written.
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#[pyclass(
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name = "RealizedSpread",
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module = "wickra._wickra",
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skip_from_py_object
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)]
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#[derive(Clone)]
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struct PyRealizedSpread {
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inner: wc::RealizedSpread,
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}
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#[pymethods]
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impl PyRealizedSpread {
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#[new]
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fn new(horizon: usize) -> PyResult<Self> {
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Ok(Self {
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inner: wc::RealizedSpread::new(horizon).map_err(map_err)?,
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})
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}
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fn update(&mut self, price: f64, size: f64, is_buy: bool, mid: f64) -> PyResult<Option<f64>> {
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Ok(self
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.inner
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.update(build_trade_quote(price, size, is_buy, mid)?))
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}
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fn batch<'py>(
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&mut self,
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py: Python<'py>,
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price: Vec<f64>,
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size: Vec<f64>,
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is_buy: Vec<bool>,
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mid: Vec<f64>,
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) -> PyResult<Bound<'py, PyArray1<f64>>> {
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if price.len() != size.len() || size.len() != is_buy.len() || is_buy.len() != mid.len() {
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return Err(PyValueError::new_err(
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"price, size, is_buy, mid must be equal length",
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));
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}
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let mut out = Vec::with_capacity(price.len());
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for i in 0..price.len() {
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let quote = build_trade_quote(price[i], size[i], is_buy[i], mid[i])?;
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out.push(self.inner.update(quote).unwrap_or(f64::NAN));
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}
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Ok(out.into_pyarray(py))
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}
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fn reset(&mut self) {
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self.inner.reset();
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}
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fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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fn warmup_period(&self) -> usize {
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self.inner.warmup_period()
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}
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fn __repr__(&self) -> String {
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format!("RealizedSpread(horizon={})", self.inner.horizon())
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}
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}
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// Kyle's lambda carries a `window` parameter, so it is hand-written.
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#[pyclass(name = "KylesLambda", module = "wickra._wickra", skip_from_py_object)]
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#[derive(Clone)]
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struct PyKylesLambda {
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inner: wc::KylesLambda,
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}
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#[pymethods]
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impl PyKylesLambda {
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#[new]
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fn new(window: usize) -> PyResult<Self> {
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Ok(Self {
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inner: wc::KylesLambda::new(window).map_err(map_err)?,
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})
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}
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fn update(&mut self, price: f64, size: f64, is_buy: bool, mid: f64) -> PyResult<Option<f64>> {
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Ok(self
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.inner
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.update(build_trade_quote(price, size, is_buy, mid)?))
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}
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fn batch<'py>(
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&mut self,
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py: Python<'py>,
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price: Vec<f64>,
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size: Vec<f64>,
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is_buy: Vec<bool>,
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mid: Vec<f64>,
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) -> PyResult<Bound<'py, PyArray1<f64>>> {
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if price.len() != size.len() || size.len() != is_buy.len() || is_buy.len() != mid.len() {
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return Err(PyValueError::new_err(
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"price, size, is_buy, mid must be equal length",
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));
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}
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let mut out = Vec::with_capacity(price.len());
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for i in 0..price.len() {
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let quote = build_trade_quote(price[i], size[i], is_buy[i], mid[i])?;
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out.push(self.inner.update(quote).unwrap_or(f64::NAN));
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}
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Ok(out.into_pyarray(py))
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}
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fn reset(&mut self) {
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self.inner.reset();
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}
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fn is_ready(&self) -> bool {
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self.inner.is_ready()
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}
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fn warmup_period(&self) -> usize {
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self.inner.warmup_period()
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}
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fn __repr__(&self) -> String {
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format!("KylesLambda(window={})", self.inner.window())
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}
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}
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// ============================== Family 15: Risk / Performance ==============================
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#[pyclass(name = "SharpeRatio", module = "wickra._wickra", skip_from_py_object)]
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@@ -13013,10 +13206,15 @@ fn _wickra(_py: Python<'_>, m: &Bound<'_, PyModule>) -> PyResult<()> {
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m.add_class::<PyOrderBookImbalanceFull>()?;
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m.add_class::<PyMicroprice>()?;
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m.add_class::<PyQuotedSpread>()?;
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m.add_class::<PyDepthSlope>()?;
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// Microstructure: trade flow.
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m.add_class::<PySignedVolume>()?;
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m.add_class::<PyCumulativeVolumeDelta>()?;
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m.add_class::<PyTradeImbalance>()?;
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// Microstructure: price impact.
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m.add_class::<PyEffectiveSpread>()?;
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m.add_class::<PyRealizedSpread>()?;
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m.add_class::<PyKylesLambda>()?;
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// Family 15: Risk / Performance metrics.
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m.add_class::<PySharpeRatio>()?;
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m.add_class::<PySortinoRatio>()?;
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