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kingchenc 91f6f67257 Add C# (.NET) binding over the C ABI hub (#226 )

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.

2026-06-09 14:32:05 +02:00

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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.

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