kingchenc
a1c646ae7c
The seven BTCUSDT OHLCV datasets used to live under crates/wickra/examples/data/, which buried them inside a Rust crate even though the Node backtest example and the upcoming Rust/Node/WASM example restructure need to reach them too. Move them to the workspace-level examples/data/ so every language's examples can resolve the same path. The bench (crates/wickra/benches/indicators.rs), the example_data integration test, fetch_btcusdt.rs and the Node backtest example all take the new ../../examples/data/ path; Data-Layer.md, examples/README.md and the CHANGELOG entry are updated to match. No data file content changes.
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.