vynn-backtester

What This Skill Does

The Vynn Backtester skill allows OpenClaw users to perform sophisticated financial strategy backtesting using the power of natural language. Instead of writing complex Python scripts or utilizing bloated desktop software, you can simply describe your trading logic—such as "RSI mean reversion" or "MACD crossover"—and receive professional-grade analytics. The skill processes your requests to calculate essential performance metrics, including Sharpe ratios, total returns, maximum drawdown, win rates, and total trade counts, while generating equity curves. It handles the entire backtesting pipeline, from data retrieval to performance analysis, requiring zero local infrastructure or data dependency management.

Installation

To integrate the Vynn Backtester into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/beee003/vynn-backtester. After installation, you must secure an API key from the-vynn.com. Once obtained, configure your system by setting the VYNN_API_KEY environment variable. This key unlocks the core functionality and enables you to run up to 10 backtests per month for free, with no credit card required.

Use Cases

This skill is ideal for quantitative traders, portfolio managers, and individual investors who need to validate trading hypotheses rapidly. Use it to compare multiple strategy variants against each other to identify the most robust parameters. It is also perfect for technical analysts who want to test specific indicator-based triggers (e.g., Bollinger Band breakouts or EMA filters) across various asset classes like stocks, ETFs, or market indices. Because it accepts both natural language and structured JSON inputs, it caters to both casual explorers and systematic developers.

Example Prompts

1. "/backtest 'Run a mean reversion strategy on TSLA and NVDA using a 14-day RSI and 1-year lookback period'"
2. "/backtest 'Compare a 50/200 day golden cross on SPY versus a simple buy and hold strategy'"
3. "/backtest '{"entries": [{"indicator": "SMA", "period": 50, "op": ">", "value": 200}], "exits": [{"indicator": "SMA", "period": 50, "op": "<", "value": 200}]}' --tickers BTC"

Tips & Limitations

For best results, be specific with your lookback periods and ticker symbols. While the natural language processing is advanced, structured JSON is recommended for production-grade, reproducible backtests. Note that this skill relies on external API connectivity to the-vynn.com; ensure your network configuration allows for outbound requests to this domain. The skill is limited by the data availability of the underlying service, so ensure your chosen assets are supported before running large-scale portfolio comparisons. If you hit your monthly limit, consider upgrading your plan via the Vynn dashboard.