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)
This commit is contained in:
kingchenc
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//! Depth Slope — how fast resting liquidity accumulates away from the mid.
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use crate::microstructure::{Level, OrderBook};
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use crate::traits::Indicator;
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/// Ordinary-least-squares slope of cumulative resting size against distance
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/// from the mid, over the levels of one book side.
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///
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/// `signed_distance` is `+1.0` for the ask side (price above the mid) and
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/// `−1.0` for the bid side (price below the mid), so the regressor `x` —
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/// distance from the mid — is non-negative on both sides. The response `y` is
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/// the cumulative size walking outward from the touch. Returns `0.0` for a
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/// degenerate fit where every level sits at the same distance (zero variance in
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/// `x`).
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fn cumulative_slope(levels: &[Level], mid: f64, signed_distance: f64) -> f64 {
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let count = levels.len() as f64;
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let mut cumulative = 0.0;
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let mut sum_x = 0.0;
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let mut sum_y = 0.0;
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let mut sum_xy = 0.0;
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let mut sum_xx = 0.0;
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for level in levels {
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let x = signed_distance * (level.price - mid);
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cumulative += level.size;
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sum_x += x;
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sum_y += cumulative;
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sum_xy += x * cumulative;
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sum_xx += x * x;
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}
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let denom = count * sum_xx - sum_x * sum_x;
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if denom == 0.0 {
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return 0.0;
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}
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(count * sum_xy - sum_x * sum_y) / denom
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}
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/// Depth Slope — the average rate at which cumulative resting size grows with
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/// distance from the mid, across the bid and ask sides of the book.
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///
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/// For each side the indicator runs an ordinary-least-squares regression of
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/// cumulative size (walking outward from the touch) on the level's distance
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/// from the mid, then reports the mean of the two slopes:
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///
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/// ```text
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/// slope_side = OLS slope of (|priceᵢ − mid|, Σ_{j≤i} sizeⱼ)
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/// depthSlope = (slope_bid + slope_ask) / 2
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/// ```
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///
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/// Because the response is *cumulative* size it never decreases with distance,
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/// so the slope is non-negative: it is a magnitude, not a direction. A large
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/// slope means cumulative liquidity builds quickly away from the touch — a deep
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/// book that absorbs large orders with little walking; a small slope is a thin,
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/// shallow book. A book whose size is concentrated at the touch and thins out
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/// behind it (a fragile book) reads a *smaller* slope than one of equal total
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/// depth that thickens with distance.
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///
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/// A side with fewer than two levels carries no slope, so the indicator returns
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/// `0.0` whenever either side has fewer than two levels (including an empty
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/// book).
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///
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/// `Input = OrderBook`, `Output = f64`. Stateless; ready after the first
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/// snapshot.
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///
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/// # Example
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///
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/// ```
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/// use wickra_core::{DepthSlope, Indicator, Level, OrderBook};
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///
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/// // Both sides thicken linearly away from the mid (sizes 1, 2, 3 …).
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/// let book = OrderBook::new(
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/// vec![Level::new(99.0, 1.0).unwrap(), Level::new(98.0, 2.0).unwrap()],
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/// vec![Level::new(101.0, 1.0).unwrap(), Level::new(102.0, 2.0).unwrap()],
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/// )
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/// .unwrap();
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/// let mut ds = DepthSlope::new();
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/// assert!(ds.update(book).unwrap() > 0.0);
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/// ```
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#[derive(Debug, Clone, Default)]
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pub struct DepthSlope {
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has_emitted: bool,
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}
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impl DepthSlope {
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/// Construct a new depth-slope indicator.
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pub const fn new() -> Self {
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Self { has_emitted: false }
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}
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}
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impl Indicator for DepthSlope {
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type Input = OrderBook;
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type Output = f64;
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fn update(&mut self, book: OrderBook) -> Option<f64> {
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self.has_emitted = true;
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let Some(mid) = book.mid() else {
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return Some(0.0);
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};
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if book.bids.len() < 2 || book.asks.len() < 2 {
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return Some(0.0);
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}
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let bid_slope = cumulative_slope(&book.bids, mid, -1.0);
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let ask_slope = cumulative_slope(&book.asks, mid, 1.0);
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Some(f64::midpoint(bid_slope, ask_slope))
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}
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fn reset(&mut self) {
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self.has_emitted = false;
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}
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fn warmup_period(&self) -> usize {
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1
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}
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fn is_ready(&self) -> bool {
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self.has_emitted
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}
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fn name(&self) -> &'static str {
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"DepthSlope"
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use crate::traits::BatchExt;
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fn book(bids: &[(f64, f64)], asks: &[(f64, f64)]) -> OrderBook {
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let to_levels = |xs: &[(f64, f64)]| {
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xs.iter()
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.map(|&(p, s)| Level::new(p, s).unwrap())
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.collect::<Vec<_>>()
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};
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OrderBook::new(to_levels(bids), to_levels(asks)).unwrap()
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}
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#[test]
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fn accessors_and_metadata() {
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let ds = DepthSlope::new();
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assert_eq!(ds.name(), "DepthSlope");
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assert_eq!(ds.warmup_period(), 1);
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assert!(!ds.is_ready());
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}
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#[test]
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fn thickening_book_has_positive_slope() {
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let mut ds = DepthSlope::new();
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let out = ds
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.update(book(
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&[(99.0, 1.0), (98.0, 2.0), (97.0, 3.0)],
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&[(101.0, 1.0), (102.0, 2.0), (103.0, 3.0)],
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))
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.unwrap();
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assert!(out > 0.0);
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assert!(ds.is_ready());
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}
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#[test]
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fn front_loaded_book_has_smaller_slope_than_back_loaded() {
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// Same total depth (6 per side), but one book thickens away from the
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// touch and the other thins. Cumulative slope is non-negative for both;
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// the back-loaded book accumulates faster, so its slope is larger.
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let mut back = DepthSlope::new();
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let back_slope = back
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.update(book(
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&[(99.0, 1.0), (98.0, 2.0), (97.0, 3.0)],
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&[(101.0, 1.0), (102.0, 2.0), (103.0, 3.0)],
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))
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.unwrap();
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let mut front = DepthSlope::new();
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let front_slope = front
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.update(book(
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&[(99.0, 3.0), (98.0, 2.0), (97.0, 1.0)],
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&[(101.0, 3.0), (102.0, 2.0), (103.0, 1.0)],
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))
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.unwrap();
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assert!(front_slope >= 0.0);
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assert!(back_slope > front_slope);
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}
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#[test]
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fn known_slope_value() {
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// Symmetric book, each side: distances 1, 2; cumulative sizes 1, 3.
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// OLS slope of (1->1, 2->3) = 2. Mean of two equal sides = 2.
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let mut ds = DepthSlope::new();
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let out = ds
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.update(book(
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&[(99.0, 1.0), (98.0, 2.0)],
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&[(101.0, 1.0), (102.0, 2.0)],
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))
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.unwrap();
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assert!((out - 2.0).abs() < 1e-9);
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}
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#[test]
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fn single_level_side_is_zero() {
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let mut ds = DepthSlope::new();
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// Bid side has only one level -> no slope -> 0.
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assert_eq!(
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ds.update(book(&[(100.0, 1.0)], &[(101.0, 1.0), (102.0, 1.0)])),
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Some(0.0)
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);
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}
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#[test]
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fn empty_book_is_zero() {
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let mut ds = DepthSlope::new();
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assert_eq!(
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ds.update(OrderBook::new_unchecked(vec![], vec![])),
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Some(0.0)
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);
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}
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#[test]
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fn degenerate_distance_slope_is_zero() {
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// Two levels at the same distance from mid carry zero x-variance.
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let levels = [
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Level::new_unchecked(100.0, 1.0),
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Level::new_unchecked(100.0, 2.0),
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];
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assert_eq!(cumulative_slope(&levels, 100.0, 1.0), 0.0);
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}
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#[test]
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fn batch_equals_streaming() {
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let books: Vec<OrderBook> = (0..20)
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.map(|i| {
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let extra = f64::from(i % 4);
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book(
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&[(99.0, 1.0 + extra), (98.0, 2.0)],
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&[(101.0, 1.0), (102.0, 2.0 + extra)],
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)
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})
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.collect();
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let mut a = DepthSlope::new();
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let mut b = DepthSlope::new();
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assert_eq!(
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a.batch(&books),
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books
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.iter()
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.map(|x| b.update(x.clone()))
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.collect::<Vec<_>>()
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);
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}
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#[test]
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fn reset_clears_state() {
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let mut ds = DepthSlope::new();
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ds.update(book(
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&[(99.0, 1.0), (98.0, 2.0)],
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&[(101.0, 1.0), (102.0, 2.0)],
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));
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assert!(ds.is_ready());
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ds.reset();
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assert!(!ds.is_ready());
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}
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}
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@@ -0,0 +1,157 @@
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//! Effective Spread — the realised cost of a single trade in basis points.
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use crate::microstructure::TradeQuote;
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use crate::traits::Indicator;
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/// Effective Spread — twice the signed deviation of an executed trade price
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/// from the prevailing mid, expressed in basis points of the mid.
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///
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/// ```text
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/// effectiveSpread = 2 · D · (tradePrice − mid) / mid · 10_000 (bps)
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/// ```
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///
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/// where `D` is the aggressor sign (`+1` for a buy, `−1` for a sell). The
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/// factor of two scales the one-sided deviation up to a full round-trip cost so
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/// it is directly comparable to the [quoted spread]: a marketable order that
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/// fills exactly at the touch of an otherwise quoted-spread book pays an
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/// effective spread equal to the quoted spread. Trades that fill *inside* the
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/// spread (price improvement) read below the quoted spread; trades that walk
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/// the book read above it.
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///
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/// A buy printed above the mid (`tradePrice > mid`) and a sell printed below it
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/// both yield a positive effective spread — the conventional sign, since the
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/// aggressor pays in both cases. A trade printed on the wrong side of the mid
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/// for its aggressor flag (a buy below the mid) reads negative, the signature of
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/// price improvement or a stale/mislabelled quote.
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///
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/// `Input = TradeQuote`, `Output = f64`. Stateless; ready after the first
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/// trade-quote.
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///
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/// [quoted spread]: crate::QuotedSpread
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///
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/// # Example
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///
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/// ```
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/// use wickra_core::{EffectiveSpread, Indicator, Side, Trade, TradeQuote};
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///
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/// let mut es = EffectiveSpread::new();
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/// // Buy filled at 100.05 against a mid of 100.0:
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/// // 2 · (+1) · (100.05 − 100.0) / 100.0 · 10_000 = 10 bps.
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/// let trade = Trade::new(100.05, 1.0, Side::Buy, 0).unwrap();
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/// let quote = TradeQuote::new(trade, 100.0).unwrap();
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/// assert!((es.update(quote).unwrap() - 10.0).abs() < 1e-9);
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/// ```
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#[derive(Debug, Clone, Default)]
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pub struct EffectiveSpread {
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has_emitted: bool,
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}
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impl EffectiveSpread {
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/// Construct a new effective-spread indicator.
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pub const fn new() -> Self {
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Self { has_emitted: false }
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}
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}
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impl Indicator for EffectiveSpread {
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type Input = TradeQuote;
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type Output = f64;
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fn update(&mut self, quote: TradeQuote) -> Option<f64> {
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self.has_emitted = true;
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let sign = quote.trade.side.sign();
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Some(2.0 * sign * (quote.trade.price - quote.mid) / quote.mid * 10_000.0)
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}
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fn reset(&mut self) {
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self.has_emitted = false;
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}
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fn warmup_period(&self) -> usize {
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1
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}
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fn is_ready(&self) -> bool {
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self.has_emitted
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}
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fn name(&self) -> &'static str {
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"EffectiveSpread"
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use crate::microstructure::{Side, Trade};
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use crate::traits::BatchExt;
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fn quote(price: f64, side: Side, mid: f64) -> TradeQuote {
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TradeQuote::new(Trade::new(price, 1.0, side, 0).unwrap(), mid).unwrap()
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}
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#[test]
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fn accessors_and_metadata() {
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let es = EffectiveSpread::new();
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assert_eq!(es.name(), "EffectiveSpread");
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assert_eq!(es.warmup_period(), 1);
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assert!(!es.is_ready());
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}
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#[test]
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fn buy_above_mid_is_positive() {
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let mut es = EffectiveSpread::new();
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// 2 · (+1) · (100.05 − 100.0) / 100.0 · 10_000 = 10 bps.
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let out = es.update(quote(100.05, Side::Buy, 100.0)).unwrap();
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assert!((out - 10.0).abs() < 1e-9);
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assert!(es.is_ready());
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}
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#[test]
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fn sell_below_mid_is_positive() {
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let mut es = EffectiveSpread::new();
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// 2 · (−1) · (99.95 − 100.0) / 100.0 · 10_000 = 10 bps.
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let out = es.update(quote(99.95, Side::Sell, 100.0)).unwrap();
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assert!((out - 10.0).abs() < 1e-9);
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}
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#[test]
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fn price_improvement_reads_negative() {
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let mut es = EffectiveSpread::new();
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// A buy filled below the mid: price improvement -> negative.
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let out = es.update(quote(99.95, Side::Buy, 100.0)).unwrap();
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assert!(out < 0.0);
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}
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#[test]
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fn trade_at_mid_is_zero() {
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let mut es = EffectiveSpread::new();
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assert_eq!(es.update(quote(100.0, Side::Buy, 100.0)), Some(0.0));
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}
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#[test]
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fn batch_equals_streaming() {
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let quotes: Vec<TradeQuote> = (0..20)
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.map(|i| {
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let side = if i % 2 == 0 { Side::Buy } else { Side::Sell };
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let price = 100.0 + f64::from(i % 4) * 0.01;
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quote(price, side, 100.0)
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})
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.collect();
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let mut a = EffectiveSpread::new();
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let mut b = EffectiveSpread::new();
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assert_eq!(
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a.batch("es),
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quotes.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
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);
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}
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#[test]
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fn reset_clears_state() {
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let mut es = EffectiveSpread::new();
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es.update(quote(100.05, Side::Buy, 100.0));
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assert!(es.is_ready());
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es.reset();
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assert!(!es.is_ready());
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}
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}
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@@ -0,0 +1,281 @@
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//! Kyle's Lambda — rolling price impact per unit of signed order flow.
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use std::collections::VecDeque;
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use crate::error::{Error, Result};
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use crate::microstructure::TradeQuote;
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use crate::traits::Indicator;
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/// Kyle's Lambda — the rolling ordinary-least-squares slope of mid-price changes
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/// on signed trade volume, the canonical measure of market depth / price
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/// impact.
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///
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/// Each `update` receives a [`TradeQuote`] — a trade plus the mid prevailing at
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/// execution. Internally the indicator forms, per trade, the mid change since
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/// the previous trade (`Δmid = midₜ − midₜ₋₁`) and the signed volume
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/// (`q = size · D`, with `D` the aggressor sign), then runs a rolling OLS
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/// regression of `Δmid` on `q` over the trailing window of `window` trades:
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///
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/// ```text
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/// cov = (1/n) · Σ q·Δmid − q̄·Δ̄mid
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/// var = (1/n) · Σ q² − q̄²
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/// λ = cov / var
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/// ```
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///
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/// `λ` is the estimated price move per unit of signed volume: a deep, liquid
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/// book absorbs flow with little movement and reads a small `λ`; a thin book
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/// moves sharply per unit traded and reads a large `λ`. It is a direct,
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/// model-light proxy for the slope of the demand curve in Kyle's microstructure
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/// model.
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///
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/// Each `update` is O(1): four running sums (`Σq`, `ΣΔmid`, `Σq²`, `Σq·Δmid`)
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/// are maintained as the window slides. A window of constant signed volume has
|
||||
/// zero variance and `λ` is undefined; the indicator returns `0` in that case
|
||||
/// rather than producing `NaN`.
|
||||
///
|
||||
/// `Input = TradeQuote`, `Output = f64`. It warms up for `window + 1`
|
||||
/// trade-quotes: one to seed the previous mid, then `window` paired
|
||||
/// observations.
|
||||
///
|
||||
/// # Example
|
||||
///
|
||||
/// ```
|
||||
/// use wickra_core::{Indicator, KylesLambda, Side, Trade, TradeQuote};
|
||||
///
|
||||
/// // A book where each trade moves the mid by exactly 0.5 per unit of signed
|
||||
/// // volume gives λ = 0.5.
|
||||
/// let mut lambda = KylesLambda::new(8).unwrap();
|
||||
/// let mut mid = 100.0;
|
||||
/// let mut last = None;
|
||||
/// for i in 0..20 {
|
||||
/// let side = if i % 2 == 0 { Side::Buy } else { Side::Sell };
|
||||
/// let size = 1.0 + f64::from(i % 3);
|
||||
/// let signed = size * side.sign();
|
||||
/// mid += 0.5 * signed;
|
||||
/// let trade = Trade::new(mid, size, side, 0).unwrap();
|
||||
/// last = lambda.update(TradeQuote::new(trade, mid).unwrap());
|
||||
/// }
|
||||
/// assert!((last.unwrap() - 0.5).abs() < 1e-9);
|
||||
/// ```
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct KylesLambda {
|
||||
window: usize,
|
||||
prev_mid: Option<f64>,
|
||||
pairs: VecDeque<(f64, f64)>,
|
||||
sum_q: f64,
|
||||
sum_dm: f64,
|
||||
sum_qq: f64,
|
||||
sum_qdm: f64,
|
||||
}
|
||||
|
||||
impl KylesLambda {
|
||||
/// Construct a rolling Kyle's lambda over `window` paired observations.
|
||||
///
|
||||
/// # Errors
|
||||
///
|
||||
/// Returns [`Error::InvalidPeriod`] if `window < 2` (the regression
|
||||
/// variance needs at least two observations).
|
||||
pub fn new(window: usize) -> Result<Self> {
|
||||
if window < 2 {
|
||||
return Err(Error::InvalidPeriod {
|
||||
message: "kyle's lambda needs window >= 2",
|
||||
});
|
||||
}
|
||||
Ok(Self {
|
||||
window,
|
||||
prev_mid: None,
|
||||
pairs: VecDeque::with_capacity(window),
|
||||
sum_q: 0.0,
|
||||
sum_dm: 0.0,
|
||||
sum_qq: 0.0,
|
||||
sum_qdm: 0.0,
|
||||
})
|
||||
}
|
||||
|
||||
/// The configured window length, in paired observations.
|
||||
pub const fn window(&self) -> usize {
|
||||
self.window
|
||||
}
|
||||
|
||||
fn push_pair(&mut self, signed_vol: f64, delta_mid: f64) -> Option<f64> {
|
||||
if self.pairs.len() == self.window {
|
||||
let (old_q, old_dm) = self.pairs.pop_front().expect("non-empty");
|
||||
self.sum_q -= old_q;
|
||||
self.sum_dm -= old_dm;
|
||||
self.sum_qq -= old_q * old_q;
|
||||
self.sum_qdm -= old_q * old_dm;
|
||||
}
|
||||
self.pairs.push_back((signed_vol, delta_mid));
|
||||
self.sum_q += signed_vol;
|
||||
self.sum_dm += delta_mid;
|
||||
self.sum_qq += signed_vol * signed_vol;
|
||||
self.sum_qdm += signed_vol * delta_mid;
|
||||
if self.pairs.len() < self.window {
|
||||
return None;
|
||||
}
|
||||
let n = self.window as f64;
|
||||
let mean_q = self.sum_q / n;
|
||||
let mean_dm = self.sum_dm / n;
|
||||
let var_q = (self.sum_qq / n - mean_q * mean_q).max(0.0);
|
||||
let cov = self.sum_qdm / n - mean_q * mean_dm;
|
||||
if var_q == 0.0 {
|
||||
// Constant signed-volume window has no defined slope.
|
||||
return Some(0.0);
|
||||
}
|
||||
Some(cov / var_q)
|
||||
}
|
||||
}
|
||||
|
||||
impl Indicator for KylesLambda {
|
||||
type Input = TradeQuote;
|
||||
type Output = f64;
|
||||
|
||||
fn update(&mut self, quote: TradeQuote) -> Option<f64> {
|
||||
let mid = quote.mid;
|
||||
let signed_vol = quote.trade.size * quote.trade.side.sign();
|
||||
let Some(prev) = self.prev_mid else {
|
||||
self.prev_mid = Some(mid);
|
||||
return None;
|
||||
};
|
||||
self.prev_mid = Some(mid);
|
||||
self.push_pair(signed_vol, mid - prev)
|
||||
}
|
||||
|
||||
fn reset(&mut self) {
|
||||
self.prev_mid = None;
|
||||
self.pairs.clear();
|
||||
self.sum_q = 0.0;
|
||||
self.sum_dm = 0.0;
|
||||
self.sum_qq = 0.0;
|
||||
self.sum_qdm = 0.0;
|
||||
}
|
||||
|
||||
fn warmup_period(&self) -> usize {
|
||||
self.window + 1
|
||||
}
|
||||
|
||||
fn is_ready(&self) -> bool {
|
||||
self.pairs.len() == self.window
|
||||
}
|
||||
|
||||
fn name(&self) -> &'static str {
|
||||
"KylesLambda"
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use crate::microstructure::{Side, Trade};
|
||||
use crate::traits::BatchExt;
|
||||
use approx::assert_relative_eq;
|
||||
|
||||
fn quotes_with_impact(n: usize, impact: f64) -> Vec<TradeQuote> {
|
||||
let mut mid = 100.0;
|
||||
(0..n)
|
||||
.map(|i| {
|
||||
let side = if i % 2 == 0 { Side::Buy } else { Side::Sell };
|
||||
let size = 1.0 + (i % 3) as f64;
|
||||
let signed = size * side.sign();
|
||||
mid += impact * signed;
|
||||
let trade = Trade::new(mid, size, side, 0).unwrap();
|
||||
TradeQuote::new(trade, mid).unwrap()
|
||||
})
|
||||
.collect()
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn rejects_window_below_two() {
|
||||
assert!(KylesLambda::new(0).is_err());
|
||||
assert!(KylesLambda::new(1).is_err());
|
||||
assert!(KylesLambda::new(2).is_ok());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn accessors_and_metadata() {
|
||||
let kl = KylesLambda::new(14).unwrap();
|
||||
assert_eq!(kl.name(), "KylesLambda");
|
||||
assert_eq!(kl.window(), 14);
|
||||
assert_eq!(kl.warmup_period(), 15);
|
||||
assert!(!kl.is_ready());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn recovers_constant_impact_slope() {
|
||||
// mid moves exactly 0.5 per unit signed volume -> lambda = 0.5.
|
||||
let last = KylesLambda::new(6)
|
||||
.unwrap()
|
||||
.batch("es_with_impact(20, 0.5))
|
||||
.into_iter()
|
||||
.flatten()
|
||||
.last()
|
||||
.unwrap();
|
||||
assert_relative_eq!(last, 0.5, epsilon = 1e-9);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn negative_impact_reads_negative() {
|
||||
let last = KylesLambda::new(6)
|
||||
.unwrap()
|
||||
.batch("es_with_impact(20, -0.3))
|
||||
.into_iter()
|
||||
.flatten()
|
||||
.last()
|
||||
.unwrap();
|
||||
assert_relative_eq!(last, -0.3, epsilon = 1e-9);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn constant_signed_volume_is_zero() {
|
||||
// Every trade is a buy of size 1: signed volume is constant -> var 0 -> 0.
|
||||
let mut mid = 100.0;
|
||||
let quotes: Vec<TradeQuote> = (0..10)
|
||||
.map(|_| {
|
||||
mid += 0.01;
|
||||
let trade = Trade::new(mid, 1.0, Side::Buy, 0).unwrap();
|
||||
TradeQuote::new(trade, mid).unwrap()
|
||||
})
|
||||
.collect();
|
||||
let last = KylesLambda::new(5)
|
||||
.unwrap()
|
||||
.batch("es)
|
||||
.into_iter()
|
||||
.flatten()
|
||||
.last()
|
||||
.unwrap();
|
||||
assert_relative_eq!(last, 0.0, epsilon = 1e-12);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn warms_up_after_window_plus_one() {
|
||||
let mut kl = KylesLambda::new(3).unwrap();
|
||||
let quotes = quotes_with_impact(4, 0.2);
|
||||
assert_eq!(kl.update(quotes[0]), None); // seeds prev mid
|
||||
assert_eq!(kl.update(quotes[1]), None);
|
||||
assert_eq!(kl.update(quotes[2]), None);
|
||||
assert!(!kl.is_ready());
|
||||
assert!(kl.update(quotes[3]).is_some());
|
||||
assert!(kl.is_ready());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn batch_equals_streaming() {
|
||||
let quotes = quotes_with_impact(40, 0.15);
|
||||
let batch = KylesLambda::new(10).unwrap().batch("es);
|
||||
let mut kl = KylesLambda::new(10).unwrap();
|
||||
let streamed: Vec<_> = quotes.iter().map(|q| kl.update(*q)).collect();
|
||||
assert_eq!(batch, streamed);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn reset_clears_state() {
|
||||
let mut kl = KylesLambda::new(3).unwrap();
|
||||
for q in quotes_with_impact(6, 0.2) {
|
||||
kl.update(q);
|
||||
}
|
||||
assert!(kl.is_ready());
|
||||
kl.reset();
|
||||
assert!(!kl.is_ready());
|
||||
assert_eq!(kl.update(quotes_with_impact(1, 0.2)[0]), None);
|
||||
}
|
||||
}
|
||||
@@ -54,6 +54,7 @@ mod decycler_oscillator;
|
||||
mod dema;
|
||||
mod demand_index;
|
||||
mod demark_pivots;
|
||||
mod depth_slope;
|
||||
mod detrended_std_dev;
|
||||
mod doji;
|
||||
mod donchian;
|
||||
@@ -62,6 +63,7 @@ mod double_bollinger;
|
||||
mod dpo;
|
||||
mod drawdown_duration;
|
||||
mod ease_of_movement;
|
||||
mod effective_spread;
|
||||
mod ehlers_stochastic;
|
||||
mod elder_impulse;
|
||||
mod ema;
|
||||
@@ -100,6 +102,7 @@ mod keltner;
|
||||
mod kst;
|
||||
mod kurtosis;
|
||||
mod kvo;
|
||||
mod kyles_lambda;
|
||||
mod laguerre_rsi;
|
||||
mod lead_lag_cross_correlation;
|
||||
mod linreg;
|
||||
@@ -144,6 +147,7 @@ mod psar;
|
||||
mod pvi;
|
||||
mod quoted_spread;
|
||||
mod r_squared;
|
||||
mod realized_spread;
|
||||
mod recovery_factor;
|
||||
mod relative_strength_ab;
|
||||
mod renko_trailing_stop;
|
||||
@@ -281,6 +285,7 @@ pub use decycler_oscillator::DecyclerOscillator;
|
||||
pub use dema::Dema;
|
||||
pub use demand_index::DemandIndex;
|
||||
pub use demark_pivots::{DemarkPivots, DemarkPivotsOutput};
|
||||
pub use depth_slope::DepthSlope;
|
||||
pub use detrended_std_dev::DetrendedStdDev;
|
||||
pub use doji::Doji;
|
||||
pub use donchian::{Donchian, DonchianOutput};
|
||||
@@ -289,6 +294,7 @@ pub use double_bollinger::{DoubleBollinger, DoubleBollingerOutput};
|
||||
pub use dpo::Dpo;
|
||||
pub use drawdown_duration::DrawdownDuration;
|
||||
pub use ease_of_movement::EaseOfMovement;
|
||||
pub use effective_spread::EffectiveSpread;
|
||||
pub use ehlers_stochastic::EhlersStochastic;
|
||||
pub use elder_impulse::ElderImpulse;
|
||||
pub use ema::Ema;
|
||||
@@ -327,6 +333,7 @@ pub use keltner::{Keltner, KeltnerOutput};
|
||||
pub use kst::{Kst, KstOutput};
|
||||
pub use kurtosis::Kurtosis;
|
||||
pub use kvo::Kvo;
|
||||
pub use kyles_lambda::KylesLambda;
|
||||
pub use laguerre_rsi::LaguerreRsi;
|
||||
pub use lead_lag_cross_correlation::{LeadLagCrossCorrelation, LeadLagCrossCorrelationOutput};
|
||||
pub use linreg::LinearRegression;
|
||||
@@ -371,6 +378,7 @@ pub use psar::Psar;
|
||||
pub use pvi::Pvi;
|
||||
pub use quoted_spread::QuotedSpread;
|
||||
pub use r_squared::RSquared;
|
||||
pub use realized_spread::RealizedSpread;
|
||||
pub use recovery_factor::RecoveryFactor;
|
||||
pub use relative_strength_ab::{RelativeStrengthAB, RelativeStrengthOutput};
|
||||
pub use renko_trailing_stop::RenkoTrailingStop;
|
||||
@@ -731,9 +739,13 @@ pub const FAMILIES: &[(&str, &[&str])] = &[
|
||||
"OrderBookImbalanceFull",
|
||||
"Microprice",
|
||||
"QuotedSpread",
|
||||
"DepthSlope",
|
||||
"SignedVolume",
|
||||
"CumulativeVolumeDelta",
|
||||
"TradeImbalance",
|
||||
"EffectiveSpread",
|
||||
"RealizedSpread",
|
||||
"KylesLambda",
|
||||
],
|
||||
),
|
||||
(
|
||||
@@ -790,6 +802,6 @@ mod family_tests {
|
||||
// the actual indicator count is the early-warning signal that an
|
||||
// indicator was added without being assigned a family.
|
||||
let total: usize = FAMILIES.iter().map(|(_, ns)| ns.len()).sum();
|
||||
assert_eq!(total, 222, "FAMILIES total drifted from indicator count");
|
||||
assert_eq!(total, 226, "FAMILIES total drifted from indicator count");
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,204 @@
|
||||
//! Realized Spread — the post-trade liquidity revenue of a trade in basis
|
||||
//! points.
|
||||
|
||||
use std::collections::VecDeque;
|
||||
|
||||
use crate::error::{Error, Result};
|
||||
use crate::microstructure::TradeQuote;
|
||||
use crate::traits::Indicator;
|
||||
|
||||
/// Realized Spread — twice the signed deviation of a trade price from the mid
|
||||
/// that prevails `horizon` trades *later*, expressed in basis points of the
|
||||
/// trade's contemporaneous mid.
|
||||
///
|
||||
/// ```text
|
||||
/// realizedSpread = 2 · D · (tradePrice − mid_{t+horizon}) / mid_t · 10_000 (bps)
|
||||
/// ```
|
||||
///
|
||||
/// where `D` is the aggressor sign (`+1` for a buy, `−1` for a sell), `mid_t`
|
||||
/// is the mid at the time of the trade, and `mid_{t+horizon}` is the mid
|
||||
/// `horizon` trade-quotes later. Where the [effective spread] measures the full
|
||||
/// cost paid by the aggressor against the contemporaneous mid, the realized
|
||||
/// spread measures the share of that cost a liquidity provider *keeps* after
|
||||
/// the mid has moved: it is the effective spread net of the price impact
|
||||
/// (`effective = realized + 2 · priceImpact`). A high realized spread means
|
||||
/// the quote was not picked off; a low or negative one is the signature of
|
||||
/// adverse selection, the trade preceding a move in its own direction.
|
||||
///
|
||||
/// The indicator buffers each incoming trade-quote and emits the realized
|
||||
/// spread for the trade made `horizon` updates ago, once that future mid is
|
||||
/// known. It warms up for `horizon + 1` trade-quotes — `update` returns `None`
|
||||
/// until the first trade can be resolved — and then emits one value per update
|
||||
/// in O(1).
|
||||
///
|
||||
/// `Input = TradeQuote`, `Output = f64`.
|
||||
///
|
||||
/// [effective spread]: crate::EffectiveSpread
|
||||
///
|
||||
/// # Example
|
||||
///
|
||||
/// ```
|
||||
/// use wickra_core::{Indicator, RealizedSpread, Side, Trade, TradeQuote};
|
||||
///
|
||||
/// let mut rs = RealizedSpread::new(1).unwrap();
|
||||
/// let tq = |price: f64, side, mid| TradeQuote::new(Trade::new(price, 1.0, side, 0).unwrap(), mid).unwrap();
|
||||
/// // First trade buffered; nothing to resolve yet.
|
||||
/// assert_eq!(rs.update(tq(100.10, Side::Buy, 100.0)), None);
|
||||
/// // One trade later the mid is 100.20, resolving the first buy:
|
||||
/// // 2 · (+1) · (100.10 − 100.20) / 100.0 · 10_000 = −20 bps (adverse selection).
|
||||
/// let out = rs.update(tq(99.90, Side::Sell, 100.20)).unwrap();
|
||||
/// assert!((out - (-20.0)).abs() < 1e-9);
|
||||
/// ```
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct RealizedSpread {
|
||||
horizon: usize,
|
||||
// Each pending entry is (aggressor sign, trade price, contemporaneous mid).
|
||||
pending: VecDeque<(f64, f64, f64)>,
|
||||
has_emitted: bool,
|
||||
}
|
||||
|
||||
impl RealizedSpread {
|
||||
/// Construct a realized-spread indicator that resolves each trade against
|
||||
/// the mid `horizon` trade-quotes later.
|
||||
///
|
||||
/// # Errors
|
||||
///
|
||||
/// Returns [`Error::PeriodZero`] if `horizon` is zero (the realized spread
|
||||
/// is defined against a strictly future mid).
|
||||
pub fn new(horizon: usize) -> Result<Self> {
|
||||
if horizon == 0 {
|
||||
return Err(Error::PeriodZero);
|
||||
}
|
||||
Ok(Self {
|
||||
horizon,
|
||||
pending: VecDeque::with_capacity(horizon + 1),
|
||||
has_emitted: false,
|
||||
})
|
||||
}
|
||||
|
||||
/// The configured horizon, in trade-quotes.
|
||||
pub const fn horizon(&self) -> usize {
|
||||
self.horizon
|
||||
}
|
||||
}
|
||||
|
||||
impl Indicator for RealizedSpread {
|
||||
type Input = TradeQuote;
|
||||
type Output = f64;
|
||||
|
||||
fn update(&mut self, quote: TradeQuote) -> Option<f64> {
|
||||
let sign = quote.trade.side.sign();
|
||||
self.pending.push_back((sign, quote.trade.price, quote.mid));
|
||||
if self.pending.len() <= self.horizon {
|
||||
return None;
|
||||
}
|
||||
let (old_sign, old_price, old_mid) = self.pending.pop_front().expect("len > horizon >= 1");
|
||||
self.has_emitted = true;
|
||||
// `quote.mid` is the mid prevailing `horizon` trades after the resolved
|
||||
// trade; normalise by that trade's own contemporaneous mid.
|
||||
Some(2.0 * old_sign * (old_price - quote.mid) / old_mid * 10_000.0)
|
||||
}
|
||||
|
||||
fn reset(&mut self) {
|
||||
self.pending.clear();
|
||||
self.has_emitted = false;
|
||||
}
|
||||
|
||||
fn warmup_period(&self) -> usize {
|
||||
self.horizon + 1
|
||||
}
|
||||
|
||||
fn is_ready(&self) -> bool {
|
||||
self.has_emitted
|
||||
}
|
||||
|
||||
fn name(&self) -> &'static str {
|
||||
"RealizedSpread"
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use crate::microstructure::{Side, Trade};
|
||||
use crate::traits::BatchExt;
|
||||
|
||||
fn tq(price: f64, side: Side, mid: f64) -> TradeQuote {
|
||||
TradeQuote::new(Trade::new(price, 1.0, side, 0).unwrap(), mid).unwrap()
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn rejects_zero_horizon() {
|
||||
assert!(matches!(RealizedSpread::new(0), Err(Error::PeriodZero)));
|
||||
assert!(RealizedSpread::new(1).is_ok());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn accessors_and_metadata() {
|
||||
let rs = RealizedSpread::new(3).unwrap();
|
||||
assert_eq!(rs.name(), "RealizedSpread");
|
||||
assert_eq!(rs.horizon(), 3);
|
||||
assert_eq!(rs.warmup_period(), 4);
|
||||
assert!(!rs.is_ready());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn resolves_against_future_mid() {
|
||||
let mut rs = RealizedSpread::new(1).unwrap();
|
||||
assert_eq!(rs.update(tq(100.10, Side::Buy, 100.0)), None);
|
||||
assert!(!rs.is_ready());
|
||||
// 2 · (+1) · (100.10 − 100.20) / 100.0 · 10_000 = −20 bps.
|
||||
let out = rs.update(tq(99.90, Side::Sell, 100.20)).unwrap();
|
||||
assert!((out - (-20.0)).abs() < 1e-9);
|
||||
assert!(rs.is_ready());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn no_adverse_move_equals_effective_spread() {
|
||||
// If the mid does not move over the horizon, realized == effective.
|
||||
let mut rs = RealizedSpread::new(1).unwrap();
|
||||
rs.update(tq(100.05, Side::Buy, 100.0));
|
||||
// mid stays at 100.0 -> 2 · (100.05 − 100.0) / 100.0 · 10_000 = 10 bps.
|
||||
let out = rs.update(tq(100.0, Side::Buy, 100.0)).unwrap();
|
||||
assert!((out - 10.0).abs() < 1e-9);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn longer_horizon_warms_up() {
|
||||
let mut rs = RealizedSpread::new(3).unwrap();
|
||||
for _ in 0..3 {
|
||||
assert_eq!(rs.update(tq(100.0, Side::Buy, 100.0)), None);
|
||||
}
|
||||
assert!(!rs.is_ready());
|
||||
assert!(rs.update(tq(100.0, Side::Buy, 100.0)).is_some());
|
||||
assert!(rs.is_ready());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn batch_equals_streaming() {
|
||||
let quotes: Vec<TradeQuote> = (0..30)
|
||||
.map(|i| {
|
||||
let side = if i % 2 == 0 { Side::Buy } else { Side::Sell };
|
||||
let mid = 100.0 + f64::from(i % 5) * 0.05;
|
||||
tq(mid + 0.02, side, mid)
|
||||
})
|
||||
.collect();
|
||||
let mut a = RealizedSpread::new(4).unwrap();
|
||||
let mut b = RealizedSpread::new(4).unwrap();
|
||||
assert_eq!(
|
||||
a.batch("es),
|
||||
quotes.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn reset_clears_state() {
|
||||
let mut rs = RealizedSpread::new(1).unwrap();
|
||||
rs.update(tq(100.05, Side::Buy, 100.0));
|
||||
rs.update(tq(100.0, Side::Buy, 100.0));
|
||||
assert!(rs.is_ready());
|
||||
rs.reset();
|
||||
assert!(!rs.is_ready());
|
||||
assert_eq!(rs.update(tq(100.05, Side::Buy, 100.0)), None);
|
||||
}
|
||||
}
|
||||
@@ -55,36 +55,36 @@ pub use indicators::{
|
||||
ChandelierExitOutput, ChoppinessIndex, ClassicPivots, ClassicPivotsOutput, Cmo,
|
||||
CoefficientOfVariation, Cointegration, CointegrationOutput, ConditionalValueAtRisk, ConnorsRsi,
|
||||
Coppock, CumulativeVolumeDelta, CyberneticCycle, Decycler, DecyclerOscillator, Dema,
|
||||
DemandIndex, DemarkPivots, DemarkPivotsOutput, DetrendedStdDev, Doji, Donchian, DonchianOutput,
|
||||
DonchianStop, DonchianStopOutput, DoubleBollinger, DoubleBollingerOutput, Dpo,
|
||||
DrawdownDuration, EaseOfMovement, EhlersStochastic, ElderImpulse, Ema,
|
||||
DemandIndex, DemarkPivots, DemarkPivotsOutput, DepthSlope, DetrendedStdDev, Doji, Donchian,
|
||||
DonchianOutput, DonchianStop, DonchianStopOutput, DoubleBollinger, DoubleBollingerOutput, Dpo,
|
||||
DrawdownDuration, EaseOfMovement, EffectiveSpread, EhlersStochastic, ElderImpulse, Ema,
|
||||
EmpiricalModeDecomposition, Engulfing, Evwma, Fama, FibonacciPivots, FibonacciPivotsOutput,
|
||||
FisherTransform, ForceIndex, FractalChaosBands, FractalChaosBandsOutput, Frama, GainLossRatio,
|
||||
GarmanKlassVolatility, Hammer, HangingMan, Harami, HeikinAshi, HeikinAshiOutput, HiLoActivator,
|
||||
HilbertDominantCycle, HistoricalVolatility, Hma, HurstChannel, HurstChannelOutput,
|
||||
HurstExponent, Ichimoku, IchimokuOutput, Inertia, InformationRatio, InitialBalance,
|
||||
InitialBalanceOutput, InstantaneousTrendline, InverseFisherTransform, InvertedHammer, Jma,
|
||||
Kama, KellyCriterion, Keltner, KeltnerOutput, Kst, KstOutput, Kurtosis, Kvo, LaguerreRsi,
|
||||
LeadLagCrossCorrelation, LeadLagCrossCorrelationOutput, LinRegAngle, LinRegChannel,
|
||||
LinRegChannelOutput, LinRegSlope, LinearRegression, MaEnvelope, MaEnvelopeOutput,
|
||||
MacdIndicator, MacdOutput, Mama, MamaOutput, MarketFacilitationIndex, Marubozu, MassIndex,
|
||||
MaxDrawdown, McGinleyDynamic, MedianAbsoluteDeviation, MedianPrice, Mfi, Microprice, Mom,
|
||||
MorningEveningStar, Natr, Nvi, Obv, OmegaRatio, OpeningRange, OpeningRangeOutput,
|
||||
OrderBookImbalanceFull, OrderBookImbalanceTop1, OrderBookImbalanceTopN, PainIndex,
|
||||
PairSpreadZScore, PairwiseBeta, ParkinsonVolatility, PearsonCorrelation, PercentB,
|
||||
Kama, KellyCriterion, Keltner, KeltnerOutput, Kst, KstOutput, Kurtosis, Kvo, KylesLambda,
|
||||
LaguerreRsi, LeadLagCrossCorrelation, LeadLagCrossCorrelationOutput, LinRegAngle,
|
||||
LinRegChannel, LinRegChannelOutput, LinRegSlope, LinearRegression, MaEnvelope,
|
||||
MaEnvelopeOutput, MacdIndicator, MacdOutput, Mama, MamaOutput, MarketFacilitationIndex,
|
||||
Marubozu, MassIndex, MaxDrawdown, McGinleyDynamic, MedianAbsoluteDeviation, MedianPrice, Mfi,
|
||||
Microprice, Mom, MorningEveningStar, Natr, Nvi, Obv, OmegaRatio, OpeningRange,
|
||||
OpeningRangeOutput, OrderBookImbalanceFull, OrderBookImbalanceTop1, OrderBookImbalanceTopN,
|
||||
PainIndex, PairSpreadZScore, PairwiseBeta, ParkinsonVolatility, PearsonCorrelation, PercentB,
|
||||
PercentageTrailingStop, Pgo, PiercingDarkCloud, Pmo, Ppo, ProfitFactor, Psar, Pvi,
|
||||
QuotedSpread, RSquared, RecoveryFactor, RelativeStrengthAB, RelativeStrengthOutput,
|
||||
RenkoTrailingStop, Roc, RogersSatchellVolatility, RollingVwap, RoofingFilter, Rsi, Rvi,
|
||||
RviVolatility, Rwi, RwiOutput, SharpeRatio, ShootingStar, SignedVolume, SineWave, Skewness,
|
||||
Sma, Smi, Smma, SortinoRatio, SpearmanCorrelation, SpinningTop, StandardError,
|
||||
StandardErrorBands, StandardErrorBandsOutput, StarcBands, StarcBandsOutput, Stc, StdDev,
|
||||
StepTrailingStop, StochRsi, Stochastic, StochasticOutput, SuperSmoother, SuperTrend,
|
||||
SuperTrendOutput, TdCombo, TdCountdown, TdDeMarker, TdDifferential, TdLines, TdLinesOutput,
|
||||
TdOpen, TdPressure, TdRangeProjection, TdRangeProjectionOutput, TdRei, TdRiskLevel,
|
||||
TdRiskLevelOutput, TdSequential, TdSequentialOutput, TdSetup, Tema, ThreeInside, ThreeOutside,
|
||||
ThreeSoldiersOrCrows, Tii, TradeImbalance, TreynorRatio, Trima, Trix, TrueRange, Tsi, Tsv,
|
||||
TtmSqueeze, TtmSqueezeOutput, Tweezer, TypicalPrice, UlcerIndex, UltimateOscillator, ValueArea,
|
||||
ValueAreaOutput, ValueAtRisk, Variance, VerticalHorizontalFilter, Vidya, VoltyStop,
|
||||
QuotedSpread, RSquared, RealizedSpread, RecoveryFactor, RelativeStrengthAB,
|
||||
RelativeStrengthOutput, RenkoTrailingStop, Roc, RogersSatchellVolatility, RollingVwap,
|
||||
RoofingFilter, Rsi, Rvi, RviVolatility, Rwi, RwiOutput, SharpeRatio, ShootingStar,
|
||||
SignedVolume, SineWave, Skewness, Sma, Smi, Smma, SortinoRatio, SpearmanCorrelation,
|
||||
SpinningTop, StandardError, StandardErrorBands, StandardErrorBandsOutput, StarcBands,
|
||||
StarcBandsOutput, Stc, StdDev, StepTrailingStop, StochRsi, Stochastic, StochasticOutput,
|
||||
SuperSmoother, SuperTrend, SuperTrendOutput, TdCombo, TdCountdown, TdDeMarker, TdDifferential,
|
||||
TdLines, TdLinesOutput, TdOpen, TdPressure, TdRangeProjection, TdRangeProjectionOutput, TdRei,
|
||||
TdRiskLevel, TdRiskLevelOutput, TdSequential, TdSequentialOutput, TdSetup, Tema, ThreeInside,
|
||||
ThreeOutside, ThreeSoldiersOrCrows, Tii, TradeImbalance, TreynorRatio, Trima, Trix, TrueRange,
|
||||
Tsi, Tsv, TtmSqueeze, TtmSqueezeOutput, Tweezer, TypicalPrice, UlcerIndex, UltimateOscillator,
|
||||
ValueArea, ValueAreaOutput, ValueAtRisk, Variance, VerticalHorizontalFilter, Vidya, VoltyStop,
|
||||
VolumeOscillator, VolumePriceTrend, Vortex, VortexOutput, Vwap, VwapStdDevBands,
|
||||
VwapStdDevBandsOutput, Vwma, Vzo, WaveTrend, WaveTrendOutput, WeightedClose, WilliamsFractals,
|
||||
WilliamsFractalsOutput, WilliamsR, Wma, WoodiePivots, WoodiePivotsOutput, YangZhangVolatility,
|
||||
|
||||
@@ -33,14 +33,14 @@ use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Through
|
||||
use std::hint::black_box;
|
||||
use wickra::{
|
||||
Adx, Atr, Autocorrelation, BatchExt, BollingerBands, BollingerOutput, CalmarRatio, Candle, Cci,
|
||||
ClassicPivots, ConnorsRsi, Ema, EmpiricalModeDecomposition, Engulfing, Frama,
|
||||
HilbertDominantCycle, HurstExponent, Ichimoku, IchimokuOutput, Indicator, Jma, Level,
|
||||
LinearRegression, MacdIndicator, MacdOutput, Mama, MamaOutput, MaxDrawdown, Microprice, Obv,
|
||||
OrderBook, OrderBookImbalanceFull, OrderBookImbalanceTop1, ParkinsonVolatility, Ppo, Psar,
|
||||
RollingVwap, Rsi, SharpeRatio, Side, SignedVolume, Sma, Stc, SuperTrend, SuperTrendOutput,
|
||||
TdSequential, TdSequentialOutput, Trade, TradeImbalance, TtmSqueeze, TtmSqueezeOutput,
|
||||
ValueArea, ValueAreaOutput, ValueAtRisk, Vwap, VwapStdDevBands, VwapStdDevBandsOutput,
|
||||
WaveTrend, YangZhangVolatility, T3,
|
||||
ClassicPivots, ConnorsRsi, DepthSlope, EffectiveSpread, Ema, EmpiricalModeDecomposition,
|
||||
Engulfing, Frama, HilbertDominantCycle, HurstExponent, Ichimoku, IchimokuOutput, Indicator,
|
||||
Jma, KylesLambda, Level, LinearRegression, MacdIndicator, MacdOutput, Mama, MamaOutput,
|
||||
MaxDrawdown, Microprice, Obv, OrderBook, OrderBookImbalanceFull, OrderBookImbalanceTop1,
|
||||
ParkinsonVolatility, Ppo, Psar, RollingVwap, Rsi, SharpeRatio, Side, SignedVolume, Sma, Stc,
|
||||
SuperTrend, SuperTrendOutput, TdSequential, TdSequentialOutput, Trade, TradeImbalance,
|
||||
TradeQuote, TtmSqueeze, TtmSqueezeOutput, ValueArea, ValueAreaOutput, ValueAtRisk, Vwap,
|
||||
VwapStdDevBands, VwapStdDevBandsOutput, WaveTrend, YangZhangVolatility, T3,
|
||||
};
|
||||
use wickra_data::csv::CandleReader;
|
||||
|
||||
@@ -159,6 +159,28 @@ where
|
||||
group.finish();
|
||||
}
|
||||
|
||||
fn bench_tradequote_input<I, F, O>(c: &mut Criterion, name: &str, quotes: &[TradeQuote], make: F)
|
||||
where
|
||||
F: Fn() -> I,
|
||||
I: Indicator<Input = TradeQuote, Output = O>,
|
||||
{
|
||||
let mut group = c.benchmark_group(name);
|
||||
for &n in SIZES {
|
||||
let n = n.min(quotes.len());
|
||||
let series = "es[..n];
|
||||
group.throughput(Throughput::Elements(n as u64));
|
||||
group.bench_with_input(BenchmarkId::new("streaming", n), series, |b, quotes| {
|
||||
b.iter(|| {
|
||||
let mut ind = make();
|
||||
for q in quotes {
|
||||
black_box(ind.update(*q));
|
||||
}
|
||||
});
|
||||
});
|
||||
}
|
||||
group.finish();
|
||||
}
|
||||
|
||||
fn bench_scalar_multi<I, F, O>(c: &mut Criterion, name: &str, prices: &[f64], make: F)
|
||||
where
|
||||
F: Fn() -> I,
|
||||
@@ -332,6 +354,7 @@ fn benches(c: &mut Criterion) {
|
||||
bench_orderbook_input(c, "ob_imbalance_top1", &books, OrderBookImbalanceTop1::new);
|
||||
bench_orderbook_input(c, "ob_imbalance_full", &books, OrderBookImbalanceFull::new);
|
||||
bench_orderbook_input(c, "microprice", &books, Microprice::new);
|
||||
bench_orderbook_input(c, "depth_slope", &books, DepthSlope::new);
|
||||
|
||||
// Synthesise a trade tape from candles: one trade per bar, sided by the
|
||||
// candle's direction. SignedVolume is the cheapest; TradeImbalance carries
|
||||
@@ -351,6 +374,16 @@ fn benches(c: &mut Criterion) {
|
||||
bench_trade_input(c, "trade_imbalance", &trades, || {
|
||||
TradeImbalance::new(50).unwrap()
|
||||
});
|
||||
|
||||
// Pair each synthetic trade with the candle close as the prevailing mid to
|
||||
// exercise the price-impact family. EffectiveSpread is the stateless
|
||||
// representative.
|
||||
let quotes: Vec<TradeQuote> = trades
|
||||
.iter()
|
||||
.map(|trade| TradeQuote::new_unchecked(*trade, trade.price))
|
||||
.collect();
|
||||
bench_tradequote_input(c, "effective_spread", "es, EffectiveSpread::new);
|
||||
bench_tradequote_input(c, "kyles_lambda", "es, || KylesLambda::new(50).unwrap());
|
||||
}
|
||||
|
||||
criterion_group!(name = wickra_benches; config = Criterion::default(); targets = benches);
|
||||
|
||||
Reference in New Issue
Block a user