kingchenc
87bb008aa1
Bumps the workspace from 0.7.9 to 0.8.0 and adds the release-time mirror of the Go module to a standalone `wickra-go` repository. ## release.yml: `go-mirror` job Adds a `go-mirror` job (independent of `github-release`, `needs: c-abi-build`) that on every `v*` tag: - assembles the standalone Go module from `bindings/go` (single-package source + the vendored `include/wickra.h`), - stages the six prebuilt C ABI libraries from the `c-abi-build` artifacts under `lib/<goos>_<goarch>/` (committed in the mirror, unlike the in-repo `lib/.gitignore`), - rewrites `go.mod` to `module github.com/wickra-lib/wickra-go`, - commits and tags the result in `wickra-lib/wickra-go` using the `WICKRA_GO_MIRROR_TOKEN` fine-grained PAT. This makes `go get github.com/wickra-lib/wickra-go` build with no extra steps, closing the gap where the in-repo `bindings/go` module only built inside a full repository checkout. The mirror is a derived artifact, so its bot commit is intentionally unsigned. ## Version bump 0.7.9 -> 0.8.0 Patch never reaches double digits (`0.7.9` -> `0.8.0`). Touchpoints: `Cargo.toml` (+ `Cargo.lock` via build), `bindings/python/pyproject.toml`, `bindings/node/package.json` + 6 platform `npm/*/package.json` + both `package-lock.json` files, `bindings/java/pom.xml` + `examples/java/pom.xml` + Maven/Gradle snippets in `bindings/java/README.md`, and `CHANGELOG.md`. The C# `Wickra.csproj` (version set per tag) and `bindings/c` (inherits the workspace version) are intentionally untouched. Tagging `v0.8.0` (which triggers the publish + the new mirror) stays gated on explicit confirmation.
Wickra — Python
Streaming-first technical indicators for Python. pip install wickra — no
system dependencies, no C build tooling.
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 Python binding (PyO3); it exposes 200+ streaming-first indicators across sixteen families.
Install
pip install wickra
Pre-built wheels ship for Linux, macOS, and Windows — there is nothing to compile and no C library to track down.
Quick start
import numpy as np
import wickra as ta
# Batch: classic TA-Lib-style usage over a whole array.
prices = np.linspace(100, 200, 1000)
rsi = ta.RSI(14)
values = rsi.batch(prices) # numpy array, NaN during warmup
# Streaming: the same indicator, fed tick by tick in O(1).
rsi = ta.RSI(14)
for price in live_feed:
value = rsi.update(price) # no recomputation over history
if value is not None and value > 70:
print("overbought")
batch(prices) and feeding the same prices through update() produce
identical values — the equivalence is enforced by the test suite.
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/python/
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.