Files
wickra/bindings/node
kingchenc 2f3b5cc3be F-Abschluss: wire the Python package, refresh docs and extend the test suites
Finalises the F1-F12 indicator expansion (25 -> 63 indicators).

- Python `wickra/__init__.py`: import and re-export all 63 indicators,
  grouped by family, with a matching `__all__`. The package previously
  exposed only the original 25 even though the compiled module and the
  `.pyi` stubs already carried the rest.
- Docs: `Home.md` and `README.md` indicator counts and family tables
  updated to 63; `Indicators-Overview.md` already restructured per family
  in F10-F12; `Warmup-Periods.md` gains all 38 new indicators across the
  single- and multi-output tables (and the stale two-arg `Psar::new`
  example is corrected to three args); `CHANGELOG.md` `[Unreleased]` lists
  every new indicator by family.
- Tests: `bindings/node/__tests__/indicators.test.js` covers all 63
  indicators (streaming==batch plus four new reference-value checks),
  80/80 green; new `bindings/python/tests/test_new_indicators.py` covers
  the 38 additions (streaming==batch, shapes, reference values,
  lifecycle), Python suite 105/105 green.
- `bindings/node/index.js` regenerated by `napi build`.

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 454 core tests,
25 data tests, 66 doctests, 80 Node tests and 105 Python tests green;
`cargo check -p wickra-wasm --tests` green.
2026-05-22 20:04:13 +02:00
..
2026-05-22 16:22:52 +02:00

@wickra/wickra

Node.js bindings for the Wickra streaming-first technical indicators library.

Install

Once published, install per platform via the precompiled native package:

npm install @wickra/wickra

Build from source

cd bindings/node
npm install
npm run build
npm test

The native module is built via napi-rs. The build script produces a wickra.<platform>-<arch>.node binary in the package root that index.js loads at runtime.

Usage

import { SMA, RSI, MACD, version } from '@wickra/wickra';

console.log('wickra', version());

// Batch:
const prices = Array.from({ length: 1000 }, (_, i) => 100 + Math.sin(i * 0.1) * 5);
const rsi = new RSI(14).batch(prices);

// Streaming:
const macd = new MACD(12, 26, 9);
for (const p of livePriceStream) {
  const v = macd.update(p);
  if (v && v.histogram > 0) console.log('bullish crossover candidate');
}

See index.d.ts for the full TypeScript surface.