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.
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@@ -8754,6 +8754,166 @@ node_candle_pattern!(SpinningTopNode, wc::SpinningTop, "SpinningTop");
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node_candle_pattern!(ThreeInsideNode, wc::ThreeInside, "ThreeInside");
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node_candle_pattern!(ThreeOutsideNode, wc::ThreeOutside, "ThreeOutside");
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// ============================== Microstructure: Order Book ==============================
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//
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// Order-book indicators consume a depth snapshot rather than OHLCV. Streaming
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// `update(bidPx, bidSz, askPx, askSz)` takes four equal-length arrays for one
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// snapshot (bids best-first = descending price, asks best-first = ascending
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// price); `batch` takes an array of `{ bidPx, bidSz, askPx, askSz }` snapshots
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// and returns one value per snapshot.
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/// One order-book depth snapshot for batch evaluation.
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#[napi(object)]
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pub struct ObSnapshot {
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pub bid_px: Vec<f64>,
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pub bid_sz: Vec<f64>,
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pub ask_px: Vec<f64>,
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pub ask_sz: Vec<f64>,
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}
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fn build_order_book(
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bid_px: &[f64],
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bid_sz: &[f64],
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ask_px: &[f64],
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ask_sz: &[f64],
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) -> napi::Result<wc::OrderBook> {
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if bid_px.len() != bid_sz.len() || ask_px.len() != ask_sz.len() {
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return Err(NapiError::from_reason(
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"bid/ask price and size arrays must be equal length".to_string(),
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));
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}
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let bids = bid_px
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.iter()
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.zip(bid_sz)
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.map(|(&p, &s)| wc::Level::new_unchecked(p, s))
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.collect();
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let asks = ask_px
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.iter()
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.zip(ask_sz)
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.map(|(&p, &s)| wc::Level::new_unchecked(p, s))
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.collect();
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wc::OrderBook::new(bids, asks).map_err(map_err)
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}
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macro_rules! node_ob_indicator {
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($node:ident, $inner:ty, $js:literal) => {
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#[napi(js_name = $js)]
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pub struct $node {
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inner: $inner,
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}
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impl Default for $node {
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fn default() -> Self {
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Self::new()
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}
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}
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#[napi]
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impl $node {
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#[napi(constructor)]
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pub fn new() -> Self {
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Self {
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inner: <$inner>::new(),
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}
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}
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#[napi]
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pub fn update(
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&mut self,
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bid_px: Vec<f64>,
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bid_sz: Vec<f64>,
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ask_px: Vec<f64>,
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ask_sz: Vec<f64>,
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) -> napi::Result<Option<f64>> {
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let book = build_order_book(&bid_px, &bid_sz, &ask_px, &ask_sz)?;
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Ok(self.inner.update(book))
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}
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#[napi]
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pub fn batch(&mut self, snapshots: Vec<ObSnapshot>) -> napi::Result<Vec<f64>> {
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let mut out = Vec::with_capacity(snapshots.len());
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for snap in &snapshots {
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let book =
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build_order_book(&snap.bid_px, &snap.bid_sz, &snap.ask_px, &snap.ask_sz)?;
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out.push(self.inner.update(book).unwrap_or(f64::NAN));
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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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};
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}
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node_ob_indicator!(
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OrderBookImbalanceTop1Node,
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wc::OrderBookImbalanceTop1,
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"OrderBookImbalanceTop1"
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);
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node_ob_indicator!(
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OrderBookImbalanceFullNode,
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wc::OrderBookImbalanceFull,
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"OrderBookImbalanceFull"
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);
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node_ob_indicator!(MicropriceNode, wc::Microprice, "Microprice");
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node_ob_indicator!(QuotedSpreadNode, wc::QuotedSpread, "QuotedSpread");
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// Top-N imbalance carries a `levels` parameter, so it is hand-written.
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#[napi(js_name = "OrderBookImbalanceTopN")]
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pub struct OrderBookImbalanceTopNNode {
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inner: wc::OrderBookImbalanceTopN,
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}
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#[napi]
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impl OrderBookImbalanceTopNNode {
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#[napi(constructor)]
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pub fn new(levels: u32) -> napi::Result<Self> {
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Ok(Self {
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inner: wc::OrderBookImbalanceTopN::new(levels 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(
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&mut self,
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bid_px: Vec<f64>,
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bid_sz: Vec<f64>,
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ask_px: Vec<f64>,
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ask_sz: Vec<f64>,
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) -> napi::Result<Option<f64>> {
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let book = build_order_book(&bid_px, &bid_sz, &ask_px, &ask_sz)?;
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Ok(self.inner.update(book))
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}
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#[napi]
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pub fn batch(&mut self, snapshots: Vec<ObSnapshot>) -> napi::Result<Vec<f64>> {
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let mut out = Vec::with_capacity(snapshots.len());
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for snap in &snapshots {
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let book = build_order_book(&snap.bid_px, &snap.bid_sz, &snap.ask_px, &snap.ask_sz)?;
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out.push(self.inner.update(book).unwrap_or(f64::NAN));
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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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// ============================== Family 15: Risk / Performance ==============================
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// Risk metrics with fallible `new` (most need `period >= 2`), so each wrapper
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