Files
wickra/bindings/node
kingchenc 8b9e8e30b9 examples: move Node examples into a top-level examples/node/
Continue the per-language `examples/<lang>/` restructure: move the three
Node example files (streaming.js, backtest.js, live_trading.js) out of
bindings/node/examples/ and into a top-level examples/node/ directory.

* `examples/node/package.json` is a `private` package that pulls the
  native binding via `file:../../bindings/node` and lists `ws` as a
  dev-dependency for the live-trading example. `require('..')` in each
  file becomes `require('wickra')` — exactly what a downstream user would
  write — and the file-header run instructions are updated to the new
  two-step workflow (`npm install` in bindings/node, then in
  examples/node).
* `backtest.js`'s default-CSV path becomes the much shorter
  `__dirname/../data/btcusdt-1d.csv` from the new location.
* `bindings/node/package.json` drops the now-unused `ws` devDependency.
* `.gitignore` is broadened from `bindings/node/node_modules/` to
  `**/node_modules/` so the new `examples/node/node_modules/` directory is
  not tracked.
* The README "Languages" table, project-layout block and
  `examples/README.md` Node section are updated for the new paths and run
  commands.

Verified by running `node backtest.js` (3200 BTCUSDT daily bars, matching
output), `node streaming.js`, and `node --check live_trading.js` from the
new location.
2026-05-23 00:10:06 +02:00
..

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

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';

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.