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.
73 lines
3.0 KiB
Markdown
73 lines
3.0 KiB
Markdown
# Wickra — Python
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[](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
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[](https://codecov.io/gh/wickra-lib/wickra)
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[](https://pypi.org/project/wickra/)
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[](https://github.com/wickra-lib/wickra#license)
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**Streaming-first technical indicators for Python. `pip install wickra` — no
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system dependencies, no C build tooling.**
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Wickra is a multi-language technical-analysis library with a Rust core and
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bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C# and any
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other C-capable language. Every indicator is an O(1)
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streaming state machine, so live trading bots and historical backtests share
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the exact same implementation. This package is the Python binding (PyO3); it
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exposes 200+ streaming-first indicators across sixteen families.
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## Install
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```bash
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pip install wickra
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```
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Pre-built wheels ship for Linux, macOS, and Windows — there is nothing to
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compile and no C library to track down.
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## Quick start
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```python
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import numpy as np
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import wickra as ta
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# Batch: classic TA-Lib-style usage over a whole array.
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prices = np.linspace(100, 200, 1000)
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rsi = ta.RSI(14)
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values = rsi.batch(prices) # numpy array, NaN during warmup
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# Streaming: the same indicator, fed tick by tick in O(1).
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rsi = ta.RSI(14)
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for price in live_feed:
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value = rsi.update(price) # no recomputation over history
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if value is not None and value > 70:
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print("overbought")
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```
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`batch(prices)` and feeding the same prices through `update()` produce
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identical values — the equivalence is enforced by the test suite.
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## Documentation
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The full indicator catalogue, guides, quickstarts, and API reference live in
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the main repository and documentation site:
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- **Repository & full indicator list:** <https://github.com/wickra-lib/wickra>
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- **Docs** (quickstarts, cookbook, TA-Lib migration): <https://docs.wickra.org>
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- **Runnable examples:** [`examples/python/`](https://github.com/wickra-lib/wickra/tree/main/examples/python)
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Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus a
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C ABI hub that any C-capable language (C, C++, Go, C#, Java, R) links against —
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all exposing the same indicators from the shared, `unsafe`-forbidden Rust core.
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## Disclaimer
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Wickra is an indicator toolkit, not a trading system. The values it computes
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are deterministic transforms of the input data — they are not financial advice
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and do not predict the market. Any use in a live trading context is at your own
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risk. The library is provided **as is**, without warranty of any kind.
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## License
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Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
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or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.
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