kingchenc
961fc1f3dc
R15 — `bindings/node/package.json` and all six per-platform subpackage
templates (`npm/{darwin-arm64,darwin-x64,linux-arm64-gnu,linux-x64-gnu,
win32-arm64-msvc,win32-x64-msvc}/package.json`) plus the WASM
`release.yml` enrich step switch the `license` field from the npm
convention `SEE LICENSE IN LICENSE` to the SPDX identifier
`PolyForm-Noncommercial-1.0.0`. npm's license search and downstream
tooling can now surface the actual license.
R18 — every `engines.node` field is bumped from `>= 16` to `>= 18`.
The package's test script (`node --test __tests__/`) uses the built-in
`node --test` runner that landed in Node 18; advertising support for
Node 16 / 17 was a guarantee we never verified (CI tests on Node 18 /
20 only) and would have produced a confusing error on those versions.
R19 — README's benchmark section gains an explicit hardware /
software-version block and reframes the absolute µs values as a
relative-speedup snapshot rather than a universal contract. Also tells
the reader how to reproduce locally (`pip install -e
bindings/python[bench]` + `python -m benchmarks.compare_libraries`) and
where the CI artefact lives.
Side effects:
- R16 / R17 (built wheel under `bindings/python/dist/` and
`examples/node/node_modules/`) — verified that both are already
covered by `.gitignore` (`*.whl`, `dist/`, `**/node_modules/`) and
were never tracked by git. The local directories have been cleared;
no `.gitignore` change needed and no committed file removed.
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.