feat: order-book microstructure indicators (part 1 of 4) (#112)

* feat(core): add microstructure input types (OrderBook, Trade, TradeQuote)

New non-OHLCV value types for the order-book / trade-flow indicator family:
Level, OrderBook (sorted, uncrossed depth snapshot), Side, Trade (with
aggressor side), and TradeQuote (trade paired with prevailing mid). Each has a
validating constructor plus a new_unchecked hot-path constructor, with full
unit coverage. Adds InvalidOrderBook / InvalidTrade error variants.

* feat(core): add 5 order-book microstructure indicators

OrderBookImbalanceTop1/TopN/Full (signed depth imbalance), Microprice
(size-weighted fair value), and QuotedSpread (top-of-book spread in bps). All
consume the OrderBook snapshot type, emit f64, are stateless and ready after
the first snapshot, with full unit coverage. Registers a new Microstructure
family in the taxonomy.

* feat(bindings): expose order-book microstructure indicators

Python, Node, and WASM bindings for OrderBookImbalanceTop1/TopN/Full,
Microprice and QuotedSpread. Each takes a depth snapshot via four equal-length
(bid_px, bid_sz, ask_px, ask_sz) arrays. Python and Node expose a batch over a
list of snapshots; WASM exposes per-snapshot update (the streaming model that
fits a browser book feed). Regenerates node index.d.ts/.js and registers the
new InvalidOrderBook/InvalidTrade arms in the Python error mapping.

* test(bindings,fuzz): cover order-book microstructure indicators

Python: smoke, reference values, streaming-vs-batch, lifecycle/repr and input
validation (mismatched lengths, crossed book, misordered levels, zero levels)
for all five order-book indicators. Node: reference values, streaming-vs-batch,
and rejection cases. Adds an indicator_update_orderbook fuzz target driving
every order-book indicator over arbitrary (incl. degenerate) snapshots.

* bench(microstructure): synthetic order-book benchmarks

Add a bench_orderbook_input harness and synthesise a five-level book around
each candle close (no order-book dataset ships with the repo). Benches the
cheapest (top-of-book imbalance) and most-expensive (full-depth imbalance) plus
microprice, matching the curated cheapest/expensive-per-family approach.

* docs: add Microstructure family + bump indicator counter to 224

README gains the Microstructure family row (order-book imbalance, microprice,
quoted spread) and the indicator counter goes 219 -> 224 across seventeen
families; CHANGELOG records the new order-book indicators and value types.
This commit is contained in:
kingchenc
2026-06-01 16:06:22 +02:00
committed by GitHub
parent 498b74a5ae
commit 2be21df803
27 changed files with 2189 additions and 21 deletions
+160
View File
@@ -8754,6 +8754,166 @@ node_candle_pattern!(SpinningTopNode, wc::SpinningTop, "SpinningTop");
node_candle_pattern!(ThreeInsideNode, wc::ThreeInside, "ThreeInside");
node_candle_pattern!(ThreeOutsideNode, wc::ThreeOutside, "ThreeOutside");
// ============================== Microstructure: Order Book ==============================
//
// Order-book indicators consume a depth snapshot rather than OHLCV. Streaming
// `update(bidPx, bidSz, askPx, askSz)` takes four equal-length arrays for one
// snapshot (bids best-first = descending price, asks best-first = ascending
// price); `batch` takes an array of `{ bidPx, bidSz, askPx, askSz }` snapshots
// and returns one value per snapshot.
/// One order-book depth snapshot for batch evaluation.
#[napi(object)]
pub struct ObSnapshot {
pub bid_px: Vec<f64>,
pub bid_sz: Vec<f64>,
pub ask_px: Vec<f64>,
pub ask_sz: Vec<f64>,
}
fn build_order_book(
bid_px: &[f64],
bid_sz: &[f64],
ask_px: &[f64],
ask_sz: &[f64],
) -> napi::Result<wc::OrderBook> {
if bid_px.len() != bid_sz.len() || ask_px.len() != ask_sz.len() {
return Err(NapiError::from_reason(
"bid/ask price and size arrays must be equal length".to_string(),
));
}
let bids = bid_px
.iter()
.zip(bid_sz)
.map(|(&p, &s)| wc::Level::new_unchecked(p, s))
.collect();
let asks = ask_px
.iter()
.zip(ask_sz)
.map(|(&p, &s)| wc::Level::new_unchecked(p, s))
.collect();
wc::OrderBook::new(bids, asks).map_err(map_err)
}
macro_rules! node_ob_indicator {
($node:ident, $inner:ty, $js:literal) => {
#[napi(js_name = $js)]
pub struct $node {
inner: $inner,
}
impl Default for $node {
fn default() -> Self {
Self::new()
}
}
#[napi]
impl $node {
#[napi(constructor)]
pub fn new() -> Self {
Self {
inner: <$inner>::new(),
}
}
#[napi]
pub fn update(
&mut self,
bid_px: Vec<f64>,
bid_sz: Vec<f64>,
ask_px: Vec<f64>,
ask_sz: Vec<f64>,
) -> napi::Result<Option<f64>> {
let book = build_order_book(&bid_px, &bid_sz, &ask_px, &ask_sz)?;
Ok(self.inner.update(book))
}
#[napi]
pub fn batch(&mut self, snapshots: Vec<ObSnapshot>) -> napi::Result<Vec<f64>> {
let mut out = Vec::with_capacity(snapshots.len());
for snap in &snapshots {
let book =
build_order_book(&snap.bid_px, &snap.bid_sz, &snap.ask_px, &snap.ask_sz)?;
out.push(self.inner.update(book).unwrap_or(f64::NAN));
}
Ok(out)
}
#[napi]
pub fn reset(&mut self) {
self.inner.reset();
}
#[napi(js_name = "isReady")]
pub fn is_ready(&self) -> bool {
self.inner.is_ready()
}
#[napi(js_name = "warmupPeriod")]
pub fn warmup_period(&self) -> u32 {
self.inner.warmup_period() as u32
}
}
};
}
node_ob_indicator!(
OrderBookImbalanceTop1Node,
wc::OrderBookImbalanceTop1,
"OrderBookImbalanceTop1"
);
node_ob_indicator!(
OrderBookImbalanceFullNode,
wc::OrderBookImbalanceFull,
"OrderBookImbalanceFull"
);
node_ob_indicator!(MicropriceNode, wc::Microprice, "Microprice");
node_ob_indicator!(QuotedSpreadNode, wc::QuotedSpread, "QuotedSpread");
// Top-N imbalance carries a `levels` parameter, so it is hand-written.
#[napi(js_name = "OrderBookImbalanceTopN")]
pub struct OrderBookImbalanceTopNNode {
inner: wc::OrderBookImbalanceTopN,
}
#[napi]
impl OrderBookImbalanceTopNNode {
#[napi(constructor)]
pub fn new(levels: u32) -> napi::Result<Self> {
Ok(Self {
inner: wc::OrderBookImbalanceTopN::new(levels as usize).map_err(map_err)?,
})
}
#[napi]
pub fn update(
&mut self,
bid_px: Vec<f64>,
bid_sz: Vec<f64>,
ask_px: Vec<f64>,
ask_sz: Vec<f64>,
) -> napi::Result<Option<f64>> {
let book = build_order_book(&bid_px, &bid_sz, &ask_px, &ask_sz)?;
Ok(self.inner.update(book))
}
#[napi]
pub fn batch(&mut self, snapshots: Vec<ObSnapshot>) -> napi::Result<Vec<f64>> {
let mut out = Vec::with_capacity(snapshots.len());
for snap in &snapshots {
let book = build_order_book(&snap.bid_px, &snap.bid_sz, &snap.ask_px, &snap.ask_sz)?;
out.push(self.inner.update(book).unwrap_or(f64::NAN));
}
Ok(out)
}
#[napi]
pub fn reset(&mut self) {
self.inner.reset();
}
#[napi(js_name = "isReady")]
pub fn is_ready(&self) -> bool {
self.inner.is_ready()
}
#[napi(js_name = "warmupPeriod")]
pub fn warmup_period(&self) -> u32 {
self.inner.warmup_period() as u32
}
}
// ============================== Family 15: Risk / Performance ==============================
// Risk metrics with fallible `new` (most need `period >= 2`), so each wrapper