refactor: 归档旧代码，保留新框架结构

归档内容：
- core/ (数据源、因子计算、通用工具) → archive/legacy_core/
- strategies/rotation/engine.py, portfolio.py, report.py → archive/legacy_core/
- scripts/ (run_rotation, daily_scheduler) → archive/legacy_scripts/
- examples/ → archive/legacy_examples/
- tests/ (实验、对比测试) → archive/legacy_tests/
- 单独文件 (fetch_*.py, 动量.py, 全球市场.py等) → archive/single_files/

保留新结构：
- framework/ (抽象接口)
- strategies/shared/ (定制组件)
- strategies/rotation/strategy.py (新策略)
- 外层配置: .env, .dockerignore, build-and-push.sh, hk_ecs.pem, README.md, requirements.txt
- Docker相关: Dockerfile, Dockerfile_base, docker-compose.yml

更新README反映新框架架构

archive/legacy_tests/tests/fetch_au9999.py

@@ -0,0 +1,119 @@
+"""
+使用 Tushare 获取 AU9999 黄金数据
+"""
+
+import os
+import pandas as pd
+import tushare as ts
+from datetime import datetime, timedelta
+from typing import Optional
+from dotenv import load_dotenv
+
+
+def get_tushare_token() -> str:
+    """从环境变量获取 Tushare token"""
+    load_dotenv()
+    token = os.environ.get('TUSHARE_TOKEN')
+    if not token:
+        raise ValueError("未设置 TUSHARE_TOKEN 环境变量")
+    return token
+
+
+def fetch_au9999(start_date: str, end_date: str) -> Optional[pd.DataFrame]:
+    """
+    获取 AU9999 黄金现货数据（使用上期所黄金主力合约 AU.SHF）
+    
+    Args:
+        start_date: 开始日期 (YYYY-MM-DD)
+        end_date: 结束日期 (YYYY-MM-DD)
+    
+    Returns:
+        DataFrame with columns: date, open, high, low, close, vol
+    """
+    try:
+        # 初始化 Tushare
+        pro = ts.pro_api(get_tushare_token())
+        
+        # 转换日期格式
+        start_str = start_date.replace('-', '')
+        end_str = end_date.replace('-', '')
+        
+        print(f"从 Tushare 获取 AU9999 数据...")
+        print(f"时间范围: {start_date} ~ {end_date}")
+        
+        # 获取黄金期货主力合约数据
+        # ts_code: AU.SHF 表示上海期货交易所黄金主力合约
+        df = pro.fut_daily(ts_code='AU.SHF', start_date=start_str, end_date=end_str)
+        
+        if df is None or df.empty:
+            print("未获取到数据")
+            return None
+        
+        # 标准化列名
+        df = df.rename(columns={
+            'trade_date': 'date',
+            'open': 'open',
+            'high': 'high',
+            'low': 'low',
+            'close': 'close',
+            'vol': 'volume',
+        })
+        
+        # 转换日期格式
+        df['date'] = pd.to_datetime(df['date'])
+        df = df.set_index('date')
+        df = df.sort_index()
+        
+        # 选择需要的列
+        df = df[['open', 'high', 'low', 'close', 'volume']]
+        
+        print(f"✓ 获取成功: {len(df)} 条数据")
+        print(f"时间范围: {df.index[0].strftime('%Y-%m-%d')} ~ {df.index[-1].strftime('%Y-%m-%d')}")
+        
+        return df
+        
+    except Exception as e:
+        print(f"获取数据失败: {e}")
+        return None
+
+
+def print_au9999_data(df: pd.DataFrame):
+    """打印 AU9999 数据"""
+    print("\n" + "="*80)
+    print("AU9999 黄金数据 (上期所主力合约 AU.SHF)")
+    print("="*80)
+    print(f"{'日期':<15} {'开盘价':>12} {'最高价':>12} {'最低价':>12} {'收盘价':>12} {'成交量':>12}")
+    print("-"*80)
+    
+    for date, row in df.iterrows():
+        date_str = date.strftime('%Y-%m-%d')
+        print(f"{date_str:<15} {row['open']:>12.2f} {row['high']:>12.2f} {row['low']:>12.2f} {row['close']:>12.2f} {row['volume']:>12.2f}")
+    
+    print("="*80)
+
+
+def main():
+    """主函数"""
+    # 计算最近30天的日期范围
+    end_date = datetime.now()
+    start_date = end_date - timedelta(days=30)
+    
+    start_str = start_date.strftime('%Y-%m-%d')
+    end_str = end_date.strftime('%Y-%m-%d')
+    
+    # 获取数据
+    df = fetch_au9999(start_str, end_str)
+    
+    if df is not None:
+        print_au9999_data(df)
+        
+        # 保存到CSV
+        output_file = "au9999_data.csv"
+        df.to_csv(output_file)
+        print(f"\n数据已保存: {output_file}")
+    else:
+        print("获取数据失败")
+
+
+if __name__ == "__main__":
+    main()