OpenClaw

vynn-backtester

Run trading strategy backtests with natural language — powered by Vynn

beee0030 来源安装数☆ 0 仓库 Starsv1.0.0

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install beee003/vynn-backtester

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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

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

Quick start

# 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

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.stra...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/beee003/vynn-backtester
Version: 1.0.0
Commit: 0e250cab84abd987201fc2024eac465c398c1ebe
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# 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.stra...

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