kingchenc
fd9f4c8bc6
* feat(bindings): expose name() on every indicator in Node, WASM, and Python Surface the core Indicator::name() / BarBuilder::name() accessor through the three native bindings so every indicator reports its canonical name at runtime, matching the existing reset/isReady/warmupPeriod surface. - Node (napi): name(): string on all 514 classes (regenerated index.d.ts) - WASM (wasm-bindgen): name(): string on all 514 classes - Python (pyo3): name() -> str on all classes * feat(bindings): expose name() across the C ABI and C/C++/Go/C#/Java/R Regenerate the C ABI and the four generated language bindings from the updated ScriptHelpers generators so every indicator and bar builder reports its canonical name at runtime, completing name() coverage across all 10 languages. - C ABI (bindings/c): wickra_<ind>_name() -> *const c_char for all 514, cached in a per-function OnceLock<CString> with ind.name() as the source of truth; cbindgen header regenerated and vendored into bindings/go/include. - Go: Name() string; C#: string Name(); Java: String name(); R: name() S3 generic over the wk_<ind>_name C glue (methods.R + NAMESPACE). The Java regeneration also restores two fixes that had drifted out of the generator (bool* arrays via boolSegment; uint8_t ctor args cast to byte) and C# re-emits '#nullable enable'; these are no-op vs the previous committed output apart from the new name() accessors. * test(golden): pin canonical name() across all 10 language bindings Add a cross-language name() consistency check: every indicator must report the exact core Indicator::name() (which can differ from the registered class name, e.g. ChaikinMoneyFlow -> "CMF", Donchian -> "DonchianChannels"). The 514 core names are committed as testdata/golden/names.json (keyed by Rust canonical) and asserted by each binding's golden replay, which already reconstructs the whole catalogue: - node / wasm: assert against names.json in the existing golden test - python: new test_golden_names.py over the shared node manifest - go / csharp / java / c+c++ / r: the golden-test generators load names.json and emit a name assertion per indicator (regenerated test artifacts committed) All 10 bindings return identical names by construction (each delegates to core), so this pins that contract and guards against a future binding breaking the passthrough. * docs(changelog): record name() across all 10 bindings under Unreleased * fix(r): restore bool* flag marshalling in the regenerated C glue The name() regeneration had reverted the cross-section bool fix: the R glue emitted (bool *)REAL(x) for const bool* inputs, reinterpreting 8-byte doubles as 1-byte bools so every flag read as false (PercentAboveMa, NewHighsNewLows, HighLowIndex, BullishPercentIndex returned 0 instead of the breadth value). The wk_bool_vec() helper is restored in the generator and the glue routes bool arrays through it again.
Wickra — C#
Streaming-first technical indicators for C#. dotnet add package Wickra —
prebuilt native library, no system dependencies.
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 bots and historical backtests share
the exact same implementation. This package is the C# binding; it consumes the
C ABI hub through [LibraryImport] P/Invoke and exposes all 514 streaming-first
indicators as idiomatic IDisposable classes.
Install
dotnet add package Wickra
The native library ships prebuilt per platform (Linux, macOS, Windows — x64 and
arm64) under runtimes/<rid>/native/, selected automatically. There is nothing
to compile. Targets .NET 8 and later.
Quick start
using Wickra;
// Batch: run an indicator over a whole series (NaN at warmup positions).
var prices = Enumerable.Range(0, 1000).Select(i => 100.0 + i * 0.1).ToArray();
using var sma = new Sma(20);
double[] values = sma.Batch(prices);
// Streaming: the same indicator, fed tick by tick in O(1).
using var rsi = new Rsi(14);
foreach (var price in liveFeed)
{
var value = rsi.Update(price); // NaN during warmup, no recomputation
if (double.IsFinite(value) && value > 70)
{
Console.WriteLine("overbought");
}
}
Batch(prices) and feeding the same prices through Update() produce identical
values — the equivalence is enforced by the test suite. Multi-output indicators
(MACD, Bollinger, ADX, …) return a nullable record struct, null while warming up.
Benchmark
benchmarks/ 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.
cargo build -p wickra-c --release
dotnet run -c Release --project benchmarks
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/csharp/
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.