# Wickra — Node.js

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**Streaming-first technical indicators for Node.js. `npm install wickra` —
prebuilt native binary, no system dependencies.**

Wickra is a multi-language technical-analysis library with a Rust core and
bindings for Python, Node.js and WASM, plus a C ABI for C, C++, C#, Go, Java, R and any
other C-capable language. Every indicator is an O(1)
streaming state machine, so live trading bots and historical backtests share
the exact same implementation. This package is the Node.js binding (napi-rs);
it exposes all 514 streaming-first indicators across twenty-four families.

## Install

```bash
npm install wickra
```

The native addon ships as a prebuilt binary per platform (Linux, macOS,
Windows — x64 and arm64), selected automatically through optional
dependencies. There is nothing to compile.

## Quick start

```js
const wickra = require('wickra');

// Batch: run an indicator over a whole array.
const prices = Array.from({ length: 1000 }, (_, i) => 100 + i * 0.1);
const values = new wickra.RSI(14).batch(prices); // null during warmup

// Streaming: the same indicator, fed tick by tick in O(1).
const rsi = new wickra.RSI(14);
for (const price of liveFeed) {
  const value = rsi.update(price); // no recomputation over history
  if (value !== null && value > 70) {
    console.log('overbought');
  }
}
```

`batch(prices)` and feeding the same prices through `update()` produce
identical values — the equivalence is enforced by the test suite.

## Benchmark

`benchmarks/throughput.js` reports streaming and batch updates-per-second for
`SMA`, `ATR` and `MACD`. It measures this binding's FFI overhead, not a
cross-library ratio (the same Rust core runs under every binding) — see the
repository [BENCHMARKS.md](https://github.com/wickra-lib/wickra/blob/main/BENCHMARKS.md) §3.

```bash
npx napi build --platform --release
node benchmarks/throughput.js
```

## Documentation

The full indicator catalogue, guides, quickstarts, and API reference live in
the main repository and documentation site:

- **Repository & full indicator list:** <https://github.com/wickra-lib/wickra>
- **Docs** (quickstarts, cookbook, TA-Lib migration): <https://docs.wickra.org>
- **Runnable examples:** [`examples/node/`](https://github.com/wickra-lib/wickra/tree/main/examples/node)

Wickra ships native bindings for Python, Node.js, WASM and Rust, plus a
C ABI hub that any C-capable language (C, C++, C#, Go, Java, R) links against —
all exposing the same indicators from the shared, `unsafe`-forbidden Rust core.

## Security

Found a security issue? **Please don't open a public issue.** Report it privately
via the affected repository's *Security* tab (*"Report a vulnerability"*) or email
**support@wickra.org** with a subject line starting `[wickra security]`. Full
policy: <https://github.com/wickra-lib/wickra/blob/main/SECURITY.md>.

## Disclaimer

Wickra is an indicator toolkit, not a trading system. The values it computes
are deterministic transforms of the input data — they are not financial advice
and do not predict the market. Any use in a live trading context is at your own
risk. The library is provided **as is**, without warranty of any kind.

## License

Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.
