kingchenc
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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 WASM examples
Browser demos for the wickra-wasm WebAssembly binding. Every demo loads
the module the same way (init() then construct indicators) so the
patterns transfer one-to-one to your own page.
Build
The WASM module ships as a wasm-pack --target web bundle. Build it
once from the repository root:
wasm-pack build bindings/wasm --target web --release --features panic-hook
This drops bindings/wasm/pkg/ with the .wasm binary, the JS loader
and TypeScript types. Every demo here imports the loader via
../../bindings/wasm/pkg/wickra_wasm.js.
Serve
ES-module workers and fetch() over CSV both need a real HTTP origin,
not file://. Any static server from the repository root works:
# Python:
python -m http.server 8000
# Or Node:
npx http-server -p 8000
Then open the demo you want at http://localhost:8000/examples/wasm/<file>.
Demos
| File | What it does |
|---|---|
index.html |
The original showcase: streams a synthetic price series through six indicators and draws a live <canvas> chart with SMA, EMA, RSI, MACD, BollingerBands and ATR cards. |
backtest.html |
Backtest: fetches an OHLCV CSV (default the bundled BTCUSDT daily dataset), streams every candle through a basket of eight indicators, prints a summary table. Mirrors examples/python/backtest.py. |
live_trading.html |
Browser-native WebSocket to Binance kline streams; runs RSI / MACD / Bollinger on the incoming closes and flags BUY/SELL candidates when the three agree. Mirrors examples/python/live_trading.py. |
multi_timeframe.html |
Fetches a 1-minute CSV, rolls it up in-page to 5m / 15m / 1h / 4h / 1d buckets and prints RSI / MACD-histogram / ADX per timeframe. Mirrors examples/python/multi_timeframe.py. |
parallel_assets.html |
Synthetic (assets, bars) panel, serial baseline on the main thread vs. a pool of module Workers each loading its own copy of the WASM module. Mirrors examples/python/parallel_assets.py. |
parallel_worker.js |
Module worker used by parallel_assets.html (not loaded directly). |
strategy_rsi_mean_reversion.html |
RSI(14) mean-reversion (long < 30, exit > 70), 0.1% fees, summary table. Mirrors examples/python/strategy_rsi_mean_reversion.py. |
strategy_macd_adx.html |
MACD(12,26,9) crossover gated by ADX(14) > 20, summary table. Mirrors examples/python/strategy_macd_adx.py. |
strategy_bollinger_squeeze.html |
Bollinger-squeeze breakout with a 2×ATR(14) stop, summary table. Mirrors examples/python/strategy_bollinger_squeeze.py. |
Performance
The in-browser benchmark is parallel_assets.html: it times a serial main-thread
baseline against a pool of module Workers and reports the speedup. For raw
single-thread throughput numbers see the sibling benchmarks — Rust criterion
(crates/wickra/benches/), Python (bindings/python/benchmarks/compare_libraries.py)
and Node (bindings/node/benchmarks/throughput.js, npm run bench). The WASM
engine is the same Rust core compiled to wasm32, so its relative ordering of
indicators tracks those.
See also
- Quickstart: WASM — module-load
flow,
wasm-packtargets, and the streaming API. - examples/README.md — cross-language index, including the Rust, Python, Node, C and C# siblings of every demo above.