Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Run trading strategy backtests with natural language — powered by Vynn
Run trading strategy backtests with natural language — powered by Vynn
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Backtest any trading strategy with natural language. Get Sharpe ratio, returns, drawdown, and full equity curves in seconds.
Natural language strategies: Describe your strategy in plain English and Vynn translates it into a runnable backtest Structured strategies: Power users can pass precise entry/exit rules as JSON Full metrics: Sharpe ratio, total return, max drawdown, win rate, trade count, and equity curve Multi-ticker: Backtest across any combination of stocks, ETFs, or indices Strategy comparison: Compare multiple strategies head-to-head, ranked by Sharpe ratio No infrastructure: No local data downloads, no dependencies beyond Python stdlib
Get a free API key at the-vynn.com (10 backtests/month, no credit card) Set VYNN_API_KEY in your environment or skill config Run /backtest "your strategy here" from any OpenClaw agent
# Sign up (instant, returns your API key) curl -X POST https://the-vynn.com/v1/signup -H "Content-Type: application/json" -d '{"email": "you@example.com"}' # Set the key export VYNN_API_KEY="vynn_free_..."
/backtest "RSI mean reversion on AAPL, 2 year lookback"
/backtest "MACD crossover on SPY with 20/50 EMA filter"
/backtest --tickers AAPL,MSFT,GOOGL --strategy "momentum top 3"
/backtest '{"entries": [{"indicator": "RSI", "op": "<", "value": 30}], "exits": [{"indicator": "RSI", "op": ">", "value": 70}]}' --tickers AAPL
from plugin import VynnBacktesterPlugin vynn = VynnBacktesterPlugin() results = vynn.compare( strategies=[ "RSI mean reversion", "MACD crossover", "Bollinger band breakout", ], tickers=["SPY"], ) for r in results: print(f"{r.strategy}: Sharpe={r.sharpe_ratio}, Return={r.total_return_pct}%")
VariableRequiredDescriptionDefaultVYNN_API_KEYYesYour API key from the-vynn.com--VYNN_BASE_URLNoOverride API base URL (for self-hosted instances)https://the-vynn.com/v1
EndpointPurposeData Senthttps://the-vynn.com/v1/backtestExecute a strategy backtestStrategy text, ticker list, lookback periodhttps://the-vynn.com/v1/signupFree API key registrationEmail address
All requests authenticated via X-API-Key header Strategy descriptions and ticker lists are sent to the Vynn API for backtest execution No trading data, portfolio holdings, or personal information is stored beyond the backtest run Backtest results are ephemeral and not persisted on Vynn servers No credentials are stored by the skill -- only your API key in environment variables Source code is fully open: github.com/beee003/astrai-openclaw
This skill does not invoke any LLM models. It sends strategy descriptions to the Vynn backtest engine, which is a quantitative execution engine (not an AI model). No prompts or completions are generated.
Free: 10 backtests/month, all features, no credit card required Pro ($29/mo): Unlimited backtests, priority execution, extended lookback periods
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