Files
wickra/bindings/node
kingchenc d2f99efd78 F13c: restructure the indicator catalogue into eight families
The original taxonomy was four classical families plus a statistics group,
with the F1-F12 expansion slotted in as sub-categories. This regroups the
whole 71-indicator catalogue into eight top-level families, each with at
least five members:

  Moving Averages (12), Momentum Oscillators (13), Trend & Directional (9),
  Price Oscillators (5), Volatility & Bands (12), Trailing Stops (5),
  Volume (9), Price Statistics (7).

- Wiki: docs/wiki/indicators/ reorganised into eight family folders; all 71
  indicator pages moved with `git mv`. Every internal cross-link is
  normalised to `../<family>/Indicator-X.md`, each page's `Family` field is
  set to its new family, and two pre-existing `../Indicator-Chaining.md`
  links (should have been `../../`) are corrected. A link check confirms
  every relative wiki link resolves.
- Indicators-Overview.md fully rewritten around the eight families;
  Home.md indicator reference and the README family table follow suit.
- Warmup-Periods.md gains the eight F13 indicators; CHANGELOG records the
  46-indicator expansion (25 -> 71) and the eight-family taxonomy.
- Tests: Node indicators.test.js and Python test_new_indicators.py cover
  all eight new indicators (Node 91/91, Python 117/117 green).

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 508 core tests,
25 data tests and 74 doctests green.
2026-05-22 21:21:56 +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.