vynn-backtester
Run trading strategy backtests with natural language — powered by Vynn
Best use case
vynn-backtester is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Run trading strategy backtests with natural language — powered by Vynn
Teams using vynn-backtester should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/vynn-backtester/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How vynn-backtester Compares
| Feature / Agent | vynn-backtester | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Run trading strategy backtests with natural language — powered by Vynn
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Vynn Backtester
Backtest any trading strategy with natural language. Get Sharpe ratio, returns, drawdown, and full equity curves in seconds.
## What it does
- **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
## Setup
1. Get a free API key at [the-vynn.com](https://the-vynn.com) (10 backtests/month, no credit card)
2. Set `VYNN_API_KEY` in your environment or skill config
3. Run `/backtest "your strategy here"` from any OpenClaw agent
### Quick start
```bash
# 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_..."
```
## Usage examples
### Simple natural language backtest
```
/backtest "RSI mean reversion on AAPL, 2 year lookback"
```
### Momentum strategy
```
/backtest "MACD crossover on SPY with 20/50 EMA filter"
```
### Multi-ticker portfolio
```
/backtest --tickers AAPL,MSFT,GOOGL --strategy "momentum top 3"
```
### Structured entry/exit rules
```
/backtest '{"entries": [{"indicator": "RSI", "op": "<", "value": 30}], "exits": [{"indicator": "RSI", "op": ">", "value": 70}]}' --tickers AAPL
```
### Compare strategies
```python
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}%")
```
## Environment Variables
| Variable | Required | Description | Default |
|---|---|---|---|
| `VYNN_API_KEY` | Yes | Your API key from the-vynn.com | -- |
| `VYNN_BASE_URL` | No | Override API base URL (for self-hosted instances) | `https://the-vynn.com/v1` |
## External Endpoints
| Endpoint | Purpose | Data Sent |
|---|---|---|
| `https://the-vynn.com/v1/backtest` | Execute a strategy backtest | Strategy text, ticker list, lookback period |
| `https://the-vynn.com/v1/signup` | Free API key registration | Email address |
## Security & Privacy
- 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](https://github.com/beee003/astrai-openclaw)
## Model Invocation
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.
## Pricing
- **Free**: 10 backtests/month, all features, no credit card required
- **Pro** ($29/mo): Unlimited backtests, priority execution, extended lookback periodsRelated Skills
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