Files
wickra/bindings/wasm
kingchenc e385734275 feat(microstructure): trade-sign autocorrelation, PIN, Hasbrouck information share (B15) (#212)
## B15 Microstructure — three new indicators (485 → 488)

| Indicator | Input | Output | Notes |
|-----------|-------|--------|-------|
| `TradeSignAutocorrelation` | `Trade` | `f64` ∈ [-1,1] | lag-1 autocorrelation of the signed aggressor (order-flow persistence) |
| `Pin` | `Trade` | `f64` ∈ [0,1] | probability of informed trading from rolling buy/sell imbalance (EKOP single-window estimator); `name()` = `"PIN"` |
| `HasbrouckInformationShare` | `(f64, f64)` | `f64` ∈ [0,1] | variance-ratio proxy for each venue's share of price discovery |

### Wiring
- Core structs + full unit tests (every branch).
- Hand-written Python/Node/WASM bindings for the two `Trade`-input indicators (precedent `TradeImbalance`); `node_pair_indicator!` / `wasm_pair_indicator!` macro bindings + hand Python pyclass for the pairwise Hasbrouck (precedent `RollingCorrelation`).
- Fuzz drives added to `indicator_update_trade.rs` and `indicator_update_pair.rs`.
- Dedicated Python + Node streaming-vs-batch and reference tests; Hasbrouck in the `PAIR` registry.
- README counter (3 spots) + `docs/README.md` + `FAMILIES` assert bumped to 488.

### Verify (all green, local)
- `cargo test -p wickra-core --lib`: 3991 passed
- `cargo test -p wickra-core --doc`: 438 passed
- `cargo clippy --workspace --all-targets --all-features -- -D warnings`: clean
- node: 561 passed · pytest: 926 passed
2026-06-08 03:07:50 +02:00
..

Wickra — WebAssembly

CI codecov npm License: MIT OR Apache-2.0

Streaming-first technical indicators in the browser. npm install wickra-wasm — pure WebAssembly, runs anywhere a modern JS engine does.

Wickra is a multi-language technical-analysis library with a Rust core and bindings for Python, Node.js, and WebAssembly. Every indicator is an O(1) streaming state machine, so live trading dashboards and historical backtests share the exact same implementation. This package is the WebAssembly binding (wasm-bindgen, built for the web target); it exposes 200+ streaming-first indicators across sixteen families.

Install

npm install wickra-wasm

Quick start

The module ships a default init export that loads the .wasm payload; await it once before constructing indicators.

import init, { RSI } from 'wickra-wasm';

await init(); // load the WebAssembly module once

// Streaming: feed prices tick by tick in O(1).
const rsi = new RSI(14);
for (const price of liveFeed) {
  const value = rsi.update(price); // null during warmup
  if (value !== null && value > 70) {
    console.log('overbought');
  }
}

Constructors mirror the other bindings (new SMA(20), new MACD(12, 26, 9), new BollingerBands(20, 2.0), …); update() returns the latest value or null while the indicator is still warming up.

Documentation

The full indicator catalogue, guides, quickstarts, and API reference live in the main repository and documentation site:

Wickra ships four bindings — Python, Node.js, WebAssembly, and Rust — that all expose the same indicators from the shared, unsafe-forbidden Rust core.

Disclaimer

Wickra is an indicator toolkit, not a trading system. The values it computes are deterministic transforms of the input data — they are not financial advice and do not predict the market. Any use in a live trading context is at your own risk. The library is provided as is, without warranty of any kind.

License

Licensed under either of Apache-2.0 or MIT at your option.