Streaming-first technical indicators. Rust core with native Python, Node.js and WASM bindings, plus a C ABI that brings the same indicators to C, C++, C#, Go, Java and R. Every indicator is a state machine that updates in O(1) per new data point — same code for backtest and live tick.

▶ Live demo: all 514 indicators over real Binance market data, in your browser — live.wickra.org · zero backend.

Part of the Wickra ecosystem: the same data-driven core and ten-language binding surface also power wickra-exchange, wickra-backtest, wickra-terminal, wickra-screener, wickra-xray, wickra-radar, wickra-copilot and wickra-shazam.

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.

Supported versions: Rust 1.86 · Python 3.9 · Node.js 20 · WASM (any modern engine) · C99 · C++14 · .NET 8 · Go 1.23 · Java 22 · R ≥ 2.10 — see the Requirements page for the per-language detail.

• 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)
• Zero third-party dependencies, in every language — pip install wickra / npm install wickra / … pull nothing else (not even NumPy), and a complete native data layer (CSV reader, tick aggregator, resampler, live Binance WebSocket feed, historical REST fetcher) ships in the box — no pandas, ws, jackson or jsonlite
• batch == streaming equivalence — every indicator passes a bit-for-bit test that streaming results match batch results
• Identical across all 10 languages — proven, not promised — every one of the 514 indicators is replayed through Rust, Python, Node.js, WASM, C, C++, C#, Go, Java and R and checked bit-for-bit against the Rust reference (golden fixtures, in CI)
• Orders of magnitude faster in streaming — O(1) per-tick updates run 11–56× faster than the only other incremental peer and thousands of times faster than recompute-on-every-tick libraries (benchmarks)
• Rust core forbids unsafe — every binding inherits a memory-safe implementation
• Verified against reference values from TA-Lib and Wilder's original tables

Library & sites

• wickra — main library (Rust core + Python / Node.js / WASM bindings + a C ABI for C / C++ / C# / Go / 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

Products — each one data-driven core with a CLI and the same ten-language binding surface (Rust, Python, Node.js, WASM + a C ABI for C, C++, C#, Go, Java, R):

• wickra-exchange — unified market-data + execution across ten crypto exchanges
• wickra-backtest — event-driven backtester over the Wickra core
• wickra-terminal — the trading terminal: a TUI and a browser renderer over the stack
• wickra-screener — parallel multi-symbol screening over 514 streaming indicators
• wickra-xray — market-microstructure explorer: footprint, order-book heatmap, liquidation map, funding/OI divergence
• wickra-radar — perp-universe alert radar: OI delta, funding flip, book imbalance, liquidation clusters, OI/price divergence
• wickra-copilot — local market copilot grounded in real order-book, liquidation and funding microstructure
• wickra-shazam — match an asset's current microstructure fingerprint against its entire history

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