Streaming-first technical indicators. Rust core with bindings for Python, Node.js, and WebAssembly. 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")| Language | Install |
|---|---|
| Python | pip install wickra |
| Rust | cargo add wickra |
| Node.js | npm install wickra |
| Browser / WASM | npm install wickra-wasm |
No C compiler, no headers, no Rust toolchain required on the install side — pre-built native packages on every supported platform.
- 227 indicators across sixteen 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, candlestick patterns, market profile, risk & performance)
batch == streamingequivalence — 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)
- 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
PolyForm Noncommercial 1.0.0 — personal projects, research, hobby trading bots, education, non-profits and government use are all permitted. For commercial use, open an issue.