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Stacked on #222 (base `feat/c-abi-hub`), so the diff is just the additions on top of the hub foundation — no merge of #222 required. ## What this adds **Examples — full parity with rust/python/node (`examples/c/`)** - `streaming.c` upgraded to the multi-indicator (SMA/EMA/RSI/MACD + signals) demo - `backtest.c`, `multi_timeframe.c` (manual time-bucket resampling), `parallel_assets.c` (serial vs OpenMP fan-out, one handle per asset) - three educational strategies: `strategy_rsi_mean_reversion.c`, `strategy_macd_adx.c`, `strategy_bollinger_squeeze.c` - two network examples shelling out to `curl`: `fetch_btcusdt.c`, `live_binance.c` (REST poll) - two header-only helpers (`wickra_csv.h`, `wickra_strategy.h`) since the C ABI ships no IO layer - CMake builds all 11; the 9 offline ones run under `ctest` on 3 OS; the network two are built-only **Docs & metadata — surface the C ABI everywhere it was missing** - ARCHITECTURE diagram + crate table, SECURITY + THREAT_MODEL (the C ABI as the sole `unsafe` FFI surface), the three binding package READMEs, issue/PR templates, CHANGELOG, and the GitHub About template (live About + org description updated too) **Cleanup** - removed all references to the private generator tooling from public files (`bindings/c/src/lib.rs` header, `CONTRIBUTING.md`, `sync-about.yml`) Verified locally: `cargo build -p wickra-c --release`, `cmake + ctest` (9/9 pass), and `-Wall -Wextra -Wpedantic` clean on gcc 13.
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++ 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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