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Adds a Go binding (`bindings/go`) over the C ABI hub — the second language stecker after C#. ## What's here - **`bindings/go`** — a cgo binding exposing all 514 indicators as idiomatic Go types with `New<Indicator>` constructors and `Update`/`Batch`/`Reset`/`Close` methods. The wrappers in `indicators_gen.go` are generated from `bindings/c/include/wickra.h` (same archetype taxonomy as the C# generator: scalar/batch, multi-output, bars, profile, profile-values, array-input). Opaque handles are freed by `Close()` with a `runtime.SetFinalizer` backstop; pointer arguments are caller-owned, panics never cross the boundary. - **`examples/go`** — the full example suite mirroring C/C#: streaming, backtest, multi_timeframe, parallel_assets (goroutine fan-out), three strategies, and `fetch_btcusdt`/`live_binance`. - **CI** — a `go` job builds the C ABI library, stages it, and runs `gofmt`/`go vet`/`go test` plus the offline examples on Linux, macOS and Windows. - **Docs** — Go added to the README languages table, project layout, building/testing, CONTRIBUTING binding table + regenerate note, ARCHITECTURE, examples index, issue/PR templates, the About-description template, and the other binding READMEs. ## Linking / distribution The binding links the prebuilt C ABI library via cgo (`libwickra.so`/`.dylib`/`wickra.dll` staged under `bindings/go/lib`, gitignored). The native libraries are already shipped per target triple by the existing `c-abi-build` release job; distribution is via the subdirectory module tag `bindings/go/vX.Y.Z` (gated), so `release.yml` needs no new publish job. No Rust crate or `Cargo.toml` change — the Go module is standalone and additive. Not for merge yet (gated, per request).
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#, Go 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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