wickra
Unverified Mean-rev strategy on Crypto by wickra-lib. BotFinder score 18 out of 100.
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tic
Source: github
BotFinder analysis pending.
wickra
--- Streaming-first technical indicators. Install with pip install wickra — no system dependencies, zero third-party packages. ▶ Live demos: all 514 indicators of the core over a real Binance feed — live.wickra.org; the backtester compiled to WebAssembly, an equity curve building bar by bar — backtest-live.wickra.org; one StrategySpec side by side in Python, Rust, JS and Go — playground.wickra.org. Zero backend, all of them. Part of the Wickra ecosystem: the same data-driven core and ten-language binding surface also power wickra-exchange, wickra-backtest, wickra-terminal and 21 more — see the full list. Wickra is a multi-language technical-analysis library with a Rust core and native bindings for Python, Node.js and WASM, plus a C ABI that C, C++, C#, Go, Java, R and any other C-capable language links against. Every indicator is a state machine: a tick touches buffered state and never the history behind it, so live trading bots and historical backtests share the exact same implementation. Documentation Full documentation lives at docs.wickra.org: - Quickstarts — Rust, Python, Node,
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
Reviews & comments
No reviews collected from the source yet.
⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)