Streaming-first technical indicators. Rust core with bindings for Python, Node.js and WebAssembly, plus a C ABI any C-capable language links against. Every indicator is a state machine that updates in O(1) per new data point — same code for backtest and live tick.

Site: wickra.org · Docs: docs.wickra.org

import wickra as ta

rsi = ta.RSI(14)
for price in live_feed:
    value = rsi.update(price)   # O(1) — no recomputation over history
    if value is not None and value > 70:
        print("overbought")

No C compiler, no headers, no Rust toolchain required to install the native packages — pre-built on every supported platform. The C ABI ships the same way: a ready-to-link wickra.h + shared/static library per platform.

• 514 indicators across twenty-four families (moving averages, momentum oscillators, trend & directional, price oscillators, volatility & bands, bands & channels, trailing stops, volume, price statistics, Ehlers / cycle DSP, pivots & S/R, DeMark, Ichimoku & charts, alt-chart bars, candlestick patterns, chart patterns, harmonic patterns, Fibonacci, microstructure, derivatives, market profile, market breadth, risk / performance, seasonality & session)
• batch == streaming equivalence — every indicator passes a bit-for-bit test that streaming results match batch results
• Rust core forbids unsafe — every binding inherits a memory-safe implementation
• Verified against reference values from TA-Lib and Wilder's original tables

• wickra — main library (Rust core + Python / Node / WASM bindings + a C ABI for C / C++ / Go / C# / Java / R)
• wickra-docs — documentation site, live at docs.wickra.org: per-indicator deep-dives (formulas, parameters, warmup), quickstarts and migration guides
• webpage — marketing site, live at wickra.org: landing page, live in-browser WASM demo, benchmarks, and per-language API overviews

Dual-licensed under MIT or Apache-2.0 — OSI-approved, permissive open source, free for any use including commercial.