chore(config): 添加环境变量示例及.gitignore更新

- 新增 .env.example，包含 Tushare API、钉钉机器人和PostgreSQL数据库配置模板
- 更新.gitignore，忽略本地配置文件如 .env.local 和 config_local.py
- 添加对报表文件命名规则的支持，保留示例文件不忽略
- 删除废弃的 chart.py 及相关图表模块代码
- 新增 config/settings.py，实现从环境变量读取配置的统一接口
- 设置数据目录及缓存目录，确保目录存在，提高配置管理规范性

scripts/run_cci_screener.py

@@ -0,0 +1,85 @@
+#!/usr/bin/env python3
+"""
+CCI技术指标筛选器入口
+
+用法:
+    python scripts/run_cci_screener.py
+    python scripts/run_cci_screener.py --config config/strategies/cci.yaml
+    python scripts/run_cci_screener.py --schedule  # 定时模式
+"""
+
+import sys
+import time
+import yaml
+import argparse
+import schedule
+from pathlib import Path
+from datetime import datetime
+
+# 添加项目根目录到路径
+project_root = Path(__file__).parent.parent
+sys.path.insert(0, str(project_root))
+
+from strategies.screener.cci import CCIScreener
+
+
+def load_config(config_path: str) -> dict:
+    """加载配置文件"""
+    with open(config_path, "r", encoding="utf-8") as f:
+        return yaml.safe_load(f)
+
+
+def run_screening(config: dict):
+    """执行一次筛选"""
+    print(f"\n[{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}] 开始CCI筛选...")
+
+    screener = CCIScreener(config)
+    signals = screener.run_screening()
+
+    return signals
+
+
+def main():
+    parser = argparse.ArgumentParser(description="CCI技术指标筛选")
+    parser.add_argument(
+        "--config",
+        type=str,
+        default="config/strategies/cci.yaml",
+        help="配置文件路径",
+    )
+    parser.add_argument(
+        "--schedule",
+        action="store_true",
+        help="启用定时模式",
+    )
+    args = parser.parse_args()
+
+    # 加载配置
+    config = load_config(args.config)
+    print("=" * 60)
+    print("        CCI技术指标筛选器")
+    print("=" * 60)
+    print(f"\n配置文件: {args.config}")
+    print(f"日线周期: {config.get('day_period', 14)}")
+    print(f"周线周期: {config.get('week_period', 14)}")
+    print(f"筛选阈值: {config.get('threshold', -100)}")
+    print(f"数据源: {config.get('data_source', 'postgresql')}")
+
+    if args.schedule:
+        # 定时模式
+        schedule_time = config.get("schedule_time", "19:00")
+        print(f"\n定时模式已启用，每天 {schedule_time} 执行")
+        print("按 Ctrl+C 停止\n")
+
+        schedule.every().day.at(schedule_time).do(run_screening, config)
+
+        while True:
+            schedule.run_pending()
+            time.sleep(1)
+    else:
+        # 单次执行
+        run_screening(config)
+
+
+if __name__ == "__main__":
+    main()

scripts/run_rotation.py

@@ -0,0 +1,108 @@
+#!/usr/bin/env python3
+"""
+ETF轮动策略回测入口
+
+用法:
+    python scripts/run_rotation.py
+    python scripts/run_rotation.py --config config/strategies/rotation.yaml
+"""
+
+import sys
+import time
+import yaml
+import argparse
+from pathlib import Path
+
+# 添加项目根目录到路径
+project_root = Path(__file__).parent.parent
+sys.path.insert(0, str(project_root))
+
+from strategies.rotation.engine import RotationStrategy
+from strategies.rotation.portfolio import track_positions, save_trades
+from strategies.rotation.report import generate_performance_report
+from config.settings import CODE_NAME_MAP, BENCHMARK_NAME
+
+
+def load_config(config_path: str) -> dict:
+    """加载配置文件"""
+    with open(config_path, "r", encoding="utf-8") as f:
+        return yaml.safe_load(f)
+
+
+def main():
+    parser = argparse.ArgumentParser(description="ETF轮动策略回测")
+    parser.add_argument(
+        "--config",
+        type=str,
+        default="config/strategies/rotation.yaml",
+        help="配置文件路径",
+    )
+    parser.add_argument(
+        "--save-path",
+        type=str,
+        default="report",
+        help="报告保存路径前缀",
+    )
+    args = parser.parse_args()
+
+    start_time = time.time()
+
+    print("=" * 60)
+    print("        ETF轮动策略 回测系统")
+    print("=" * 60)
+
+    # 加载配置
+    config = load_config(args.config)
+    print(f"\n配置文件: {args.config}")
+    print(f"候选标的: {len(config['code_list'])} 只")
+    print(f"回测区间: {config['start_date']} ~ {config['end_date']}")
+    print(f"因子类型: {config['factor_type']}")
+    print(f"窗口天数: {config['n_days']}")
+    print(f"选中数量: {config['select_num']}")
+    print(f"调仓周期: {config['rebalance_days']} 天")
+    print(f"交易成本: {config['trade_cost']:.2%}")
+
+    # 创建策略实例
+    strategy = RotationStrategy(config)
+
+    # 运行回测
+    print("\n" + "=" * 60)
+    print("开始回测...")
+    print("=" * 60)
+
+    backtest_result = strategy.run()
+
+    # 持仓跟踪
+    print("\n" + "=" * 60)
+    print("持仓跟踪...")
+    print("=" * 60)
+
+    trades_df, summary_df = track_positions(
+        backtest_result,
+        code_name_map=CODE_NAME_MAP,
+        select_num=config["select_num"],
+    )
+    save_trades(trades_df, summary_df, save_path=args.save_path)
+
+    # 生成绩效报告
+    print("\n" + "=" * 60)
+    print("生成绩效报告...")
+    print("=" * 60)
+
+    metrics = generate_performance_report(
+        backtest_result,
+        strategy.valid_codes,
+        code_name_map=CODE_NAME_MAP,
+        benchmark_name=BENCHMARK_NAME,
+        save_path=args.save_path,
+        select_num=config["select_num"],
+    )
+
+    elapsed = time.time() - start_time
+    print(f"\n总耗时: {elapsed:.1f}秒")
+
+    return metrics
+
+
+if __name__ == "__main__":
+    main()