kingchenc
d59cd44043
* docs: standardise language naming and add binding security sections Canonical binding list everywhere: Rust, Python, Node.js, WASM, C, C++, C#, Go, Java, R. Use C# (not .NET) as the language label, WASM (not WebAssembly) in prose, and frame the C ABI as a hub rather than a list item. - Bump stale indicator counts (200+ -> 514) and family count (sixteen -> twenty-four) in the Node/Python/WASM and docs READMEs. - Add a short Security section to all eight binding READMEs. - Relabel benchmark rows (C -> C / C++, C# / .NET -> C#). - Fix the 'language stecker' wording in the C#/Go/R API intros. - Documentation only; no code or public API changes. * release.yml: extend install snippets and expose version output Add the missing registry installs to the release body (dotnet, go, Gradle/ Maven Central, r-universe) alongside cargo/pip/npm, and expose a v-stripped 'version' output from the tag step for the Gradle coordinate. Also fix the C-ABI language order in the assets note (C# before Go). * release.yml: correct the release body (10 languages, all registries) Reframe the tagline to '10 languages' (native Rust/Python/Node.js/WASM + a C ABI hub for C, C++, C#, Go, Java, R) instead of '4 language registries', note that C#/Java/Go/R publish to NuGet/Maven/Go/r-universe via their own jobs, and tidy the Node.js label and the C-ABI hub list.
Wickra — WASM
Streaming-first technical indicators in the browser. npm install wickra-wasm — pure WebAssembly, runs anywhere a modern JS engine does.
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 dashboards and historical backtests
share the exact same implementation. This package is the WASM binding
(wasm-bindgen, built for the web target); it exposes all 514 streaming-first
indicators across twenty-four families.
Install
npm install wickra-wasm
Quick start
The module ships a default init export that loads the .wasm payload; await
it once before constructing indicators.
import init, { RSI } from 'wickra-wasm';
await init(); // load the WebAssembly module once
// Streaming: feed prices tick by tick in O(1).
const rsi = new RSI(14);
for (const price of liveFeed) {
const value = rsi.update(price); // null during warmup
if (value !== null && value > 70) {
console.log('overbought');
}
}
Constructors mirror the other bindings (new SMA(20), new MACD(12, 26, 9),
new BollingerBands(20, 2.0), …); update() returns the latest value or
null while the indicator is still warming up.
Benchmark
benchmarks/throughput.mjs 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 §3.
wasm-pack build --target nodejs --out-dir pkg-node --release
node benchmarks/throughput.mjs
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 browser examples:
examples/wasm/
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 or MIT at your option.