3a6b5ebae3
Twelve WASM classes previously exposed only `batch()` (and not even
`reset()` for ten of them): ADX, WilliamsR, CCI, MFI, PSAR, Keltner,
Donchian, VWAP, AwesomeOscillator, Aroon, Stochastic, OBV. Browser
consumers wanting per-tick updates had to replay `batch()` on every new
candle — the opposite of the library's streaming-first promise.
Each class now exposes:
- `update(...)` — per-tick streaming update with the same column inputs
as `batch()`. Single-output indicators return `Option<f64>`. Multi-
output indicators (ADX, Keltner, Donchian, Aroon, Stochastic) return a
named JS object (`{ plusDi, minusDi, adx }`, `{ upper, middle, lower }`,
`{ up, down }`, `{ k, d }`) once warm, or `null` during warmup. This
matches the existing `SuperTrend` convention so JS code can treat all
multi-output WASM indicators uniformly.
- `reset()`, `isReady()`, `warmupPeriod()` — bring the lifecycle API to
full parity with Python and Node.
`WasmKama` also gains the previously missing `warmupPeriod()` (R8). A
single new `wasm-bindgen-test` exercises every newly wired class against
a deterministic 40-bar synthetic OHLCV stream, asserting that
streaming `update` matches `batch` value-by-value and that the lifecycle
contract behaves the same as the core indicator.
wickra-wasm
WebAssembly bindings for the Wickra streaming-first technical indicators library.
Build
You need wasm-pack and the
wasm32-unknown-unknown Rust target:
rustup target add wasm32-unknown-unknown
cargo install wasm-pack
Then from the repository root:
wasm-pack build bindings/wasm --target web --release --features panic-hook
The compiled package lands in bindings/wasm/pkg/. Targets:
--target webfor native ES modules in browsers--target bundlerfor webpack/Vite/Rollup--target nodejsfor Node.js
Example
import init, { SMA, RSI, MACD, version } from "./pkg/wickra_wasm.js";
await init();
console.log("wickra:", version());
// Streaming
const rsi = new RSI(14);
for (const price of livePrices) {
const v = rsi.update(price);
if (v !== undefined && v > 70) console.log("overbought");
}
// Batch (returns a Float64Array; NaN for warmup positions)
const sma = new SMA(20).batch(new Float64Array(historicalPrices));
An interactive demo lives in examples/wasm/index.html
(top-level alongside the other language examples). After building the package
with wasm-pack build, serve the repository root and open
examples/wasm/index.html in a browser.