Files
wickra/bindings/c/README.md
T
kingchenc 3ebcb3f758 Per-binding throughput benchmarks + test-coverage gaps (#246)
Adds a `throughput` benchmark to every target and closes two small
test-coverage documentation/QA gaps. One PR, no merge of binding code beyond
the additive benchmarks and one C test.

## 1. Per-binding throughput benchmarks (all 9 targets)

Each benchmark feeds a deterministic synthetic OHLCV series through three
indicators chosen by **FFI call-signature archetype** (not algorithm — the same
Rust core runs underneath all bindings):

- `SMA(20)` — 1-in → 1-out (baseline boundary cost)
- `ATR(14)` — multi-in → 1-out (input marshalling)
- `MACD(12,26,9)` — 1-in → multi-out (output marshalling)

Streaming is timed for all three; batch for the single-output SMA and ATR
(median of 3 runs, after a warmup pass).

New: Python (PyO3), WASM, C (CMake), C# (Stopwatch), Go, Java (FFM), R, and the
Rust core baseline (`examples/rust/.../throughput.rs`, **no FFI** — the ceiling
the bindings are measured against and the value their batch paths converge
towards). Node already had `throughput.js`.

**Not a speed claim:** there is no comparable streaming TA library for C, C#,
Go, Java, R or WASM to compare against, so these are raw per-binding throughput
numbers documenting each language's FFI overhead — see BENCHMARKS.md §3. The
"Wickra is fast" claim still lives in §1/§2 (Rust core + the Python/Rust
cross-library runs).

## 2. README `## Testing`: C# and C bullets

The section listed every layer except C# and C, even though both have suites.
Adds the two missing bullets.

## 3. C archetype ctest

`examples/c/archetypes.c` drives one indicator per FFI archetype through the
real C boundary (scalar + batch==streaming, multi-output, bars, profile, array
input) plus reset, invalid-parameter and NULL-safety — the C counterpart of the
Go/R/Java archetype suites. Runs on three OSes via the existing CMake/ctest.

## Notes

- Benchmarks are not CI-gated (manual-run scripts, like the existing
  `throughput.js`); no `ci.yml`/`release.yml` changes.
- Docs: BENCHMARKS.md §3, a `## Benchmark` section in every binding README, a
  CHANGELOG entry.
- Verified locally by running: Rust, Python, C, C#, Go, Java (real numbers); the
  C archetype ctest with `-Wall -Wextra -Wpedantic -Werror`. WASM and R are
  API-correct and syntax-checked but need their own toolchains to run.
2026-06-10 03:46:38 +02:00

95 lines
4.3 KiB
Markdown

# Wickra — C / C++
[![CI](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
[![codecov](https://codecov.io/gh/wickra-lib/wickra/branch/main/graph/badge.svg)](https://codecov.io/gh/wickra-lib/wickra)
[![GitHub release](https://img.shields.io/github/v/release/wickra-lib/wickra?logo=github&color=green)](https://github.com/wickra-lib/wickra/releases/latest)
[![License: MIT OR Apache-2.0](https://img.shields.io/badge/license-MIT_OR_Apache--2.0-blue)](https://github.com/wickra-lib/wickra#license)
**Streaming-first technical indicators for C and C++. A prebuilt shared/static
library plus a generated `wickra.h` — 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 **C ABI hub**: it compiles the
core to a C-compatible shared/static library plus a generated header, so any
C-capable language (C, C++, Go, C#, Java, R) links against one artifact instead
of re-wrapping every indicator natively.
## Install
Grab the prebuilt header + library for your platform from the
[GitHub releases](https://github.com/wickra-lib/wickra/releases) — each archive
has `wickra.h`, the optional `wickra.hpp` C++ wrapper, and the shared/static
library — or build from source:
```bash
cargo build -p wickra-c --release
# -> target/release/libwickra.{so,dylib} or wickra.dll (+ import lib) + a staticlib
```
Then compile against the header and link the library
(`cc app.c -I include -L lib -lwickra -lm -o app`).
## Quick start
```c
#include "wickra.h"
struct Rsi *rsi = wickra_rsi_new(14); /* NULL on invalid params */
for (size_t i = 0; i < n; ++i) {
double v = wickra_rsi_update(rsi, prices[i]); /* NaN during warmup */
if (v == v && v > 70.0) /* v == v is the NaN check */
printf("overbought\n");
}
wickra_rsi_free(rsi); /* exactly once per _new */
```
Every indicator is an opaque handle with the same five functions —
`_new` / `_update` / `_batch` / `_reset` / `_free`. `update` is O(1); there is no
RAII across the C boundary, so each `_new` needs exactly one `_free`, and every
function is NULL-safe (a NULL handle yields `NaN` or a no-op, never a crash).
Multi-output indicators (MACD, Bollinger, ADX, …) take a pointer to a `#[repr(C)]`
struct and return a `bool`. The optional `wickra.hpp` wraps any handle in a
move-only `wickra::Handle` for exception-safe C++ lifetimes.
## Benchmark
`benchmarks/throughput.c` reports streaming and batch updates-per-second for
`SMA`, `ATR` and `MACD`. As the thinnest binding it is the floor of the
per-binding FFI overhead — not a cross-library ratio (the same Rust core runs
under every binding); see the repository
[BENCHMARKS.md](https://github.com/wickra-lib/wickra/blob/main/BENCHMARKS.md) §3.
```bash
cargo build -p wickra-c --release
cmake -S benchmarks -B build && cmake --build build
./build/throughput
```
## 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** (C quickstart, cookbook, TA-Lib migration): <https://docs.wickra.org/Quickstart-C>
- **Runnable examples:** [`examples/c/`](https://github.com/wickra-lib/wickra/tree/main/examples/c)
Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus this
C ABI hub that any C-capable language (C, C++, Go, C#, Java, R) links against —
all exposing the same indicators from the shared 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](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.