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