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The first language stecker on the C ABI hub: a .NET binding exposing all 514 indicators as idiomatic `IDisposable` classes, generated from `wickra.h`. ## What's here - **`bindings/csharp/`** — the `Wickra` .NET 8 package. `[LibraryImport]` source-generated P/Invoke (`NativeMethods.g.cs`) plus idiomatic wrappers (`Indicators.g.cs`), both generated from the committed `bindings/c/include/wickra.h`. The binding owns no indicator maths — it only marshals types across the C ABI. - **Marshalling, verified end-to-end against the native library.** Opaque handles cross as `nint` kept alive per call via a `SafeHandle`; `bool` as `[MarshalAs(U1)]` (Rust `bool` is one byte); a self-correcting `DllImportResolver` validates the loaded library actually exports the Wickra ABI. Tests cover one representative per FFI archetype (scalar, candle, pairwise, multi-output, bars, profile, values-profile, order-book / array-input) plus exact Sma reference values. - **NuGet packaging** — `dotnet pack` produces `Wickra.<version>.nupkg`; the release pipeline stages prebuilt native libraries under `runtimes/<rid>/native/` for six target triples (win/linux/osx × x64/arm64). - **`examples/csharp/`** — nine examples mirroring `examples/c/`: streaming, backtest, multi_timeframe, parallel_assets, three strategies, and fetch_btcusdt + live_binance. - **CI** — a `csharp` job on the three OSes builds the C ABI, tests the binding, and runs the offline examples. **Release** — a gated `csharp-publish` job packs and pushes to NuGet (gated on `NUGET_API_KEY`, independent of the GitHub-release job so a C# hiccup never blocks the C/C++ asset release). - **Docs consistency wave** — README, CONTRIBUTING, CHANGELOG, examples/README, the issue / PR templates, `sync-about.yml`, and `.gitattributes`. The native Python / Node / WASM bindings and the C ABI are untouched; this is additive. Publishing to NuGet stays gated behind the release tag and the secret.
Wickra — Node.js
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 WebAssembly, plus a C ABI for C/C++, C# 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 200+ streaming-first indicators across sixteen families.
Install
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
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.
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/
Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus a
C ABI hub that any C-capable language (C, C++, Go, C#, Java, R) links against —
all exposing the same indicators from the shared, unsafe-forbidden Rust core.
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.