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量化策略回测工具。编写、回测和优化交易策略，分析历史表现。Keywords: 量化, 回测, 策略, quant, backtest, trading strategy.
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| name | quant-backtest |
| description | 量化策略回测工具。编写、回测和优化交易策略，分析历史表现。Keywords: 量化, 回测, 策略, quant, backtest, trading strategy. |
编写和回测交易策略分析历史表现。适用于量化交易策略开发、历史数据回测验证、策略参数优化、风险指标分析等场景。
触发关键词: 量化, 回测, 策略, quant, backtest, trading strategy
pip install pandas numpy backtrader matplotlib
策略回测引擎——支持均线/MACD/RSI等常见策略
绩效分析——年化收益/最大回撤/夏普比率/胜率
参数优化——网格搜索最优参数组合
| 命令 | 说明 | 用法 |
|---|---|---|
backtest | 回测策略 | python3 scripts/quant_backtest_tool.py backtest [参数] |
optimize | 参数优化 | python3 scripts/quant_backtest_tool.py optimize [参数] |
report | 生成回测报告 | python3 scripts/quant_backtest_tool.py report [参数] |
回测双均线策略标的沪深300
执行：
python3 scripts/quant_backtest_tool.py backtest --strategy ma_cross --symbol 000300 --period 3y
优化均线参数
执行：
python3 scripts/quant_backtest_tool.py optimize --strategy ma_cross --fast 5-20 --slow 20-60
生成详细回测报告
执行：
python3 scripts/quant_backtest_tool.py report --format markdown
# 📊 量化策略回测报告
**生成时间**: YYYY-MM-DD HH:MM
## 核心发现
1. [关键发现1]
2. [关键发现2]
3. [关键发现3]
## 数据概览
| 指标 | 数值 | 趋势 | 评级 |
|------|------|------|------|
| 指标A | XXX | ↑ | ⭐⭐⭐⭐ |
| 指标B | YYY | → | ⭐⭐⭐ |
## 详细分析
[基于实际数据的多维度分析内容]
## 行动建议
| 优先级 | 建议 | 预期效果 |
|--------|------|----------|
| 🔴 高 | [具体建议] | [量化预期] |
| 🟡 中 | [具体建议] | [量化预期] |
| 🟢 低 | [具体建议] | [量化预期] |
pip install pandas numpy backtrader matplotlib