Files
wickra/bindings/wasm
kingchenc 2d0ee926c5 F12: add price transforms and rolling linear regression
- Rust core: typical_price.rs ((H+L+C)/3), median_price.rs ((H+L)/2),
  weighted_close.rs ((H+L+2C)/4) — stateless per-bar OHLC transforms — and
  linreg.rs (LinearRegression — endpoint of a rolling ordinary-least-squares
  fit) and linreg_slope.rs (LinRegSlope — slope of that fit). Each with a
  full Indicator impl, runnable doctest and reference / property / warmup /
  reset / batch==streaming tests.
- Python: PyTypicalPrice / PyMedianPrice / PyWeightedClose /
  PyLinearRegression / PyLinRegSlope PyO3 classes + module registration +
  .pyi stubs.
- Node: explicit TypicalPriceNode / MedianPriceNode / WeightedCloseNode /
  LinearRegressionNode / LinRegSlopeNode; index.d.ts and index.js updated.
- WASM: explicit WasmTypicalPrice / WasmMedianPrice / WasmWeightedClose;
  WasmLinearRegression / WasmLinRegSlope via the scalar macro.
- Wiki: a new indicators/statistics/ folder with five Indicator-*.md pages,
  a new "Statistics" family in Indicators-Overview.md and Home.md.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 454 core tests,
25 data tests and 66 doctests green.
2026-05-22 19:52:04 +02:00
..
2026-05-22 04:05:15 +02:00

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 web for native ES modules in browsers
  • --target bundler for webpack/Vite/Rollup
  • --target nodejs for 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 bindings/wasm/examples/index.html. After building the package serve the bindings/wasm/ directory and open examples/index.html.