2026-05-30 18:20:52 +02:00
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cff-version: 1.2.0
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title: Wickra
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message: >-
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If you use Wickra in academic work, please cite it using the metadata
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below.
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type: software
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authors:
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- alias: kingchenc
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2026-05-31 23:22:57 +02:00
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email: support@wickra.org
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2026-05-30 18:20:52 +02:00
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repository-code: "https://github.com/wickra-lib/wickra"
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url: "https://wickra.org"
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abstract: >-
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Wickra is a streaming-first technical-analysis library implemented in
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Rust with bindings for Python, Node.js and WebAssembly. Each indicator
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is a state machine that updates in constant time per new input, so
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identical code paths serve live-trading workloads and historical
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back-testing. The library covers 214 indicators across 16 families
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(moving averages, momentum, volatility, volume, statistics, Ehlers
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digital-signal-processing cycles, pivots, DeMark, Ichimoku, candlestick
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patterns, market profile, and risk/performance metrics).
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keywords:
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- technical-analysis
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- technical-indicators
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- streaming
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- algorithmic-trading
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- quantitative-finance
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- rust
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- time-series
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2026-06-03 18:49:39 +02:00
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license:
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- MIT
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- Apache-2.0
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