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strategy-backtest

Runs SMA crossover backtests on historical OHLCV/candlestick data, calculating total return, Sharpe ratio, max drawdown, win rate, and trade log.

Skill by leionion

IndexedApache-2.0★ 89
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/leionion-strategy-backtest

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Runs SMA crossover backtests on historical OHLCV/candlestick data, calculating total return, Sharpe ratio, max drawdown, win rate, and trade log. Supports CSV files and JSON input with automatic AKShare/hhxg column normalization. Use when the user asks to backtest a trading strategy, evaluate strategy performance on historical price data, run quantitative analysis, or mentions OHLCV, candlestick data, or equity curves.

Use cases: spreadsheets, data, finance

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/strategy-backtest

What's inside

Skill name
strategy-backtest
Description
Runs SMA crossover backtests on historical OHLCV/candlestick data, calculating total return, Sharpe ratio, max drawdown, win rate, and trade log. Supports CSV files and JSON input with automatic AKShare/hhxg column normalization. Use when the user asks to backtest a trading strategy, evaluate strategy performance on historical price data, run quantitative analysis, or mentions OHLCV, candlestick data, or equity curves.
License
Apache-2.0
Instructions
71 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Agent Skills spec issues

  • name: "strategy-backtest" does not match folder "strategy_backtest"

Files (4)

  • SKILL.md
  • _meta.json
  • sample_ohlcv.csv
  • strategy_backtest.py

SKILL.md (first lines)

# strategy-backtest — Quantitative Strategy Backtesting

Runs strategy backtests on historical OHLCV data and returns performance metrics as JSON. Supports SMA crossover strategy with configurable fast/slow periods.

## Usage

```bash
# Demo mode — uses built-in sample_ohlcv.csv
python3 strategy_backtest.py

# Backtest with custom CSV data
python3 strategy_backtest.py --data path/to/ohlcv.csv

# Backtest with JSON string input
python3 strategy_backtest.py --data '[{"open":10,"high":11,"low":9,"close":10.5,"volume":100}]'

# Custom SMA periods
python3 strategy_backtest.py --data prices.csv --fast 10 --slow 30

# Human-readable output
python3 strategy_backtest.py --data prices.csv --output print
```

## Parameters

| Flag | Default | Description |
|------|---------|-------------|
| `--data` | `sample_ohlcv.csv` | CSV path or JSON string (OHLCV) |
| `--strategy` | `sma_crossover` | Strategy type |
| `--fast` | `5` | Fast SMA period |
| `--slow` | `20` | Slow SMA period |
| `--output` | `json` | Output format (`json` or `print`) |

Supports column names in English (`open/high/low/close/volume`) or Chinese AKShare format (`开盘/收盘/最高/最低/成交量/日期`).

## Example output

```json
{
  "total_return": 0.0523,
  "sharpe_ratio": 1.2345,
  "max_drawdown": -0.0812,
  "win_rate": 0.6,
  "trade_count": 10,
  "trades": [
    {"date": "2024-01-15", "action": "buy", "price": 150.25},
    {"date": "2024-02-01", "action": "sell", "price": 158.50, "pnl": 0.0549}
  ]
}
```

## Error handling

- **Missing pandas**: prints `{"error": "pandas required: pip install pandas"}`
- **Missing columns**: reports which OHLCV columns are absent
- **Insufficient data**: returns error if fewer rows than the slow SMA window
- **Unknown strategy**: reports the unrecognized strategy name

## Programmatic API

```python
from strategy_backtest import run_backtest
metrics = run_backtest("prices.csv", strategy="sma_crossover", fast=5, slow=20)
```

## Related skills

- **hhxg-top-hhxg-python**: fetch A-share OHLCV data → feed into this skill
- **session-memory**: store backtest metrics for later comparison

From leionion/ClawForge, Apache-2.0.

More from leionion/ClawForge

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Last commit (this folder)
Apr 15, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

strategy-backtest skill. Agent Mart. https://agentmart.dev/skills/leionion-strategy-backtest (last updated 2026-10-24)