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100 lines
4.2 KiB
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100 lines
4.2 KiB
Markdown
<p align="center">
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<a href="https://wickra.org"><img src="https://raw.githubusercontent.com/wickra-lib/.github/main/profile/wickra-banner.webp?v=514" alt="Wickra — streaming-first technical indicators" width="100%"></a>
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</p>
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[](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
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[](https://codecov.io/gh/wickra-lib/wickra)
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[](https://www.npmjs.com/package/wickra-wasm)
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[](https://github.com/wickra-lib/wickra#license)
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# Wickra — WASM
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---
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> **▶ Live demo:** all 514 indicators over real Binance market data, computed live in your browser — **[live.wickra.org](https://live.wickra.org)** · zero backend, powered by `wickra-wasm`.
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**Streaming-first technical indicators in the browser. `npm install
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wickra-wasm` — pure WebAssembly, runs anywhere a modern JS engine does.**
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Wickra is a multi-language technical-analysis library with a Rust core and
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bindings for Python, Node.js and WASM, plus a C ABI for C, C++, C#, Go, Java, R and any
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other C-capable language. Every indicator is an O(1)
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streaming state machine, so live trading dashboards and historical backtests
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share the exact same implementation. This package is the WASM binding
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(wasm-bindgen, built for the `web` target); it exposes all 514 streaming-first
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indicators across twenty-four families.
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## Install
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```bash
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npm install wickra-wasm
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```
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## Quick start
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The module ships a default `init` export that loads the `.wasm` payload; await
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it once before constructing indicators.
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```js
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import init, { RSI } from 'wickra-wasm';
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await init(); // load the WebAssembly module once
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// Streaming: feed prices tick by tick in O(1).
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const rsi = new RSI(14);
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for (const price of liveFeed) {
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const value = rsi.update(price); // null during warmup
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if (value !== null && value > 70) {
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console.log('overbought');
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}
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}
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```
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Constructors mirror the other bindings (`new SMA(20)`, `new MACD(12, 26, 9)`,
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`new BollingerBands(20, 2.0)`, …); `update()` returns the latest value or
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`null` while the indicator is still warming up.
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## Benchmark
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`benchmarks/throughput.mjs` reports streaming and batch updates-per-second for
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`SMA`, `ATR` and `MACD`. It measures this binding's FFI overhead, not a
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cross-library ratio (the same Rust core runs under every binding) — see the
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repository [BENCHMARKS.md](https://github.com/wickra-lib/wickra/blob/main/BENCHMARKS.md) §3.
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```bash
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wasm-pack build --target nodejs --out-dir pkg-node --release
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node benchmarks/throughput.mjs
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```
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## Documentation
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The full indicator catalogue, guides, quickstarts, and API reference live in
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the main repository and documentation site:
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- **Repository & full indicator list:** <https://github.com/wickra-lib/wickra>
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- **Docs** (quickstarts, cookbook, TA-Lib migration): <https://docs.wickra.org>
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- **Runnable browser examples:** [`examples/wasm/`](https://github.com/wickra-lib/wickra/tree/main/examples/wasm)
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Wickra ships native bindings for Python, Node.js, WASM and Rust, plus a
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C ABI hub that any C-capable language (C, C++, C#, Go, Java, R) links against —
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all exposing the same indicators from the shared, `unsafe`-forbidden Rust core.
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## Security
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Found a security issue? **Please don't open a public issue.** Report it privately
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via the affected repository's *Security* tab (*"Report a vulnerability"*) or email
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**support@wickra.org** with a subject line starting `[wickra security]`. Full
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policy: <https://github.com/wickra-lib/wickra/blob/main/SECURITY.md>.
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## Disclaimer
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Wickra is an indicator toolkit, not a trading system. The values it computes
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are deterministic transforms of the input data — they are not financial advice
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and do not predict the market. Any use in a live trading context is at your own
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risk. The library is provided **as is**, without warranty of any kind.
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## License
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Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
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or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.
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