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wickra/CITATION.cff
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kingchenc 11dd659b5f Relicense from PolyForm Noncommercial to MIT OR Apache-2.0 (#158)
Relicenses Wickra from PolyForm Noncommercial 1.0.0 to the dual, OSI-approved **MIT OR Apache-2.0** (the de-facto Rust convention). Wickra becomes permissive, commercial-use-permitted open source; users may choose either license.

## Changes
- Replace `LICENSE` (PolyForm) with `LICENSE-MIT` + `LICENSE-APACHE` (full texts).
- Cargo: workspace `license = "MIT OR Apache-2.0"` (SPDX) + all 7 sub-crates switched from `license-file.workspace` to `license.workspace`.
- `deny.toml`: drop PolyForm from the allowlist.
- Python: `pyproject.toml` PEP 639 SPDX expression; remove the non-commercial classifier (verified: sdist metadata emits `License-Expression: MIT OR Apache-2.0`).
- Node: `package.json`, the 6 platform manifests and both lockfiles.
- README + Python/Node/WASM binding READMEs, CONTRIBUTING, CITATION.cff, PR template, and the WASM `pkg.license` step in `release.yml`.
- SECURITY.md: refresh supported versions 0.1.x -> 0.4.x.
- CHANGELOG: note the relicense under [Unreleased].

## Notes
- No code changes; metadata/text only. `cargo build` and `cargo deny check licenses` pass locally.
- GitHub will auto-detect "MIT, Apache-2.0" once this lands (currently NOASSERTION).
- Matching downstream changes (org `.github` profile, webpage, docs) are in separate PRs; merge those together with the relicense release so the live sites and org profile do not claim MIT before the packages do.
2026-06-03 18:49:39 +02:00

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cff-version: 1.2.0
title: Wickra
message: >-
If you use Wickra in academic work, please cite it using the metadata
below.
type: software
authors:
- alias: kingchenc
email: support@wickra.org
repository-code: "https://github.com/wickra-lib/wickra"
url: "https://wickra.org"
abstract: >-
Wickra is a streaming-first technical-analysis library implemented in
Rust with bindings for Python, Node.js and WebAssembly. Each indicator
is a state machine that updates in constant time per new input, so
identical code paths serve live-trading workloads and historical
back-testing. The library covers 214 indicators across 16 families
(moving averages, momentum, volatility, volume, statistics, Ehlers
digital-signal-processing cycles, pivots, DeMark, Ichimoku, candlestick
patterns, market profile, and risk/performance metrics).
keywords:
- technical-analysis
- technical-indicators
- streaming
- algorithmic-trading
- quantitative-finance
- rust
- time-series
license:
- MIT
- Apache-2.0