aszerW
7b41bb8c6d
新增文件: - scripts/daily_scheduler.py: 定时调度器，支持交易日判断、回测执行、OSS上传、钉钉推送 - scripts/run_rotation.py: 回测入口脚本，支持Flask API和本地数据源切换 - config/settings.py: 配置管理模块，支持钉钉多群配置 功能: 1. 每天15:30自动检查交易日 2. 交易日执行策略回测生成报告 3. 上传报告图片到OSS 4. 发送图片链接到钉钉群 修复: - 添加oss2库SyntaxWarning过滤（Python 3.12兼容） - 钉钉消息精简为标题+图片格式
115 lines
3.3 KiB
Python
115 lines
3.3 KiB
Python
#!/usr/bin/env python3
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"""
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轮动策略回测入口脚本
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用法:
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python scripts/run_rotation.py --config strategies/rotation/config.yaml
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python scripts/run_rotation.py --config strategies/rotation/config.yaml --save-path results/report
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"""
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import sys
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import argparse
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from pathlib import Path
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from datetime import datetime
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# 添加项目根目录到路径
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project_root = Path(__file__).parent.parent
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sys.path.insert(0, str(project_root))
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# 加载环境变量
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from dotenv import load_dotenv
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load_dotenv()
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from strategies.rotation.strategy import RotationStrategy
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def load_config(config_path: str) -> dict:
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"""加载配置"""
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import yaml
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with open(config_path, 'r', encoding='utf-8') as f:
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return yaml.safe_load(f)
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def main():
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parser = argparse.ArgumentParser(description='ETF轮动策略回测')
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parser.add_argument(
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'--config',
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type=str,
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default='strategies/rotation/config.yaml',
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help='配置文件路径'
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)
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parser.add_argument(
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'--save-path',
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type=str,
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default=None,
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help='报告保存路径前缀'
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)
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parser.add_argument(
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'--no-api',
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action='store_true',
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help='不使用Flask API，使用本地数据源'
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)
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args = parser.parse_args()
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start_time = datetime.now()
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print("=" * 60)
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print(" ETF轮动策略 回测系统")
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print("=" * 60)
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# 加载配置
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print(f"\n加载配置: {args.config}")
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config = load_config(args.config)
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# 显示配置摘要
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code_list = list(config.get('code_list', {}).keys())
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print(f"候选标的: {len(code_list)} 只")
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print(f"回测区间: {config.get('start_date', 'N/A')} ~ {config.get('end_date', 'N/A')}")
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print(f"因子类型: {config.get('factor_type', 'momentum')}")
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print(f"窗口天数: {config.get('n_days', 25)}")
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print(f"选股数量: {config.get('select_num', 3)}")
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print(f"调仓周期: {config.get('rebalance_days', 1)} 天")
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print(f"交易成本: {config.get('trade_cost', 0.001):.2%}")
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# 初始化策略
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print("\n初始化策略...")
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strategy = RotationStrategy.from_yaml(args.config)
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# 设置保存路径
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if args.save_path is None:
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report_date = datetime.now().strftime('%Y%m%d')
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args.save_path = f"results/report_{report_date}"
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# 执行回测
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print("\n" + "=" * 60)
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print("开始回测...")
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print("=" * 60)
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# 使用Flask API或本地数据源
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use_flask_api = not args.no_api
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data = strategy.get_data(use_flask_api=use_flask_api)
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result = strategy.run_backtest(data=data, save_path=args.save_path)
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# 输出结果
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if result.get('result') is not None:
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final_nav = result['result']['策略净值'].iloc[-1]
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total_return = (final_nav - 1) * 100
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print("\n" + "=" * 60)
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print("回测完成!")
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print("=" * 60)
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print(f"最终净值: {final_nav:.4f}")
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print(f"累计收益: {total_return:.2f}%")
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print(f"调仓次数: {len(result.get('rebalance_events', []))} 次")
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print(f"报告保存: {args.save_path}_*.csv")
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elapsed = datetime.now() - start_time
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print(f"\n总耗时: {elapsed.total_seconds():.1f}秒")
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return result
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if __name__ == '__main__':
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main() |