kingchenc
7ebb60b60a
Closes the package-page discoverability gaps found while auditing the public registry listings. No code or version change — metadata only; takes effect on the next registry build/publish. ## R — R-universe (`bindings/r`) - `DESCRIPTION`: add the R-universe URL to `URL:` and a CRAN-permitted `X-schema.org-keywords` field (feeds R-universe's search/ranking). - Add a package logo at `man/figures/logo.png` (pkgdown convention → shown in the R-universe packages tab) and reference it in the R `README.md`. - Maintainer email is **unchanged** (`support@wickra.org`). ## Python — PyPI (`bindings/python`) - `pyproject.toml`: add a `Documentation` project URL (`https://docs.wickra.org`) so it appears in the PyPI sidebar. ## C# — NuGet (`bindings/csharp`) - Add `icon.png` (brand mark) and `<PackageIcon>` so nuget.org shows the logo instead of the default placeholder. ## Notes - Rust/crates.io, Node/npm, Go/pkg.go.dev and Java/Maven Central were audited and are already complete for their respective metadata models (no icon/keyword concept on some). - The repository topic `rstats` was added (replacing the redundant `webassembly`, since `wasm` already covers it) so R is represented alongside the other language tags.
Wickra — .NET
Streaming-first technical indicators for .NET. 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 WebAssembly, 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 .NET 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, 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.