fix: 回测细节导出、交易日历测试和动量因子修复

修复项:
- export_backtest_detail.py: 统一回测导出脚本的数据源调用逻辑
- test_trading_calendar.py: 交易日历功能测试
- verify_fix_result.py: 修复结果验证
- verify_mode_b.py: 模式 B 验证

策略修复:
- momentum.py: 动量因子计算优化
- strategy.py: StrategyBase 数据获取修复（fetch_indices 返回 dict）

tests/test_trading_calendar.py

@@ -0,0 +1,164 @@
+#!/usr/bin/env python3
+"""
+测试交易日历 API
+"""
+
+import sys
+from pathlib import Path
+import requests
+
+# Flask 服务地址
+FLASK_API_URL = "http://localhost:80"
+
+def test_calendar_api():
+    """测试交易日历 API"""
+    print("\n" + "="*80)
+    print("📅 交易日历 API 测试")
+    print("="*80)
+    
+    # 测试 1: A 股
+    print("\n[1] 测试 A 股交易日历...")
+    url = f"{FLASK_API_URL}/api/v1/trading-calendar"
+    params = {"market": "A", "start": "2024-01-01", "end": "2024-01-31"}
+    
+    try:
+        response = requests.get(url, params=params, timeout=10)
+        if response.status_code == 200:
+            data = response.json()
+            print(f"   ✅ 成功: {data['count']} 个交易日")
+            print(f"   市场: {data['market']}")
+            print(f"   交易所: {data['exchange']}")
+            print(f"   日期范围: {data['start']} ~ {data['end']}")
+            print(f"   前5个交易日: {data['trading_dates'][:5]}")
+        else:
+            print(f"   ❌ 失败: {response.status_code}")
+            print(f"   响应: {response.json()}")
+    except Exception as e:
+        print(f"   ❌ 异常: {e}")
+    
+    # 测试 2: 美股
+    print("\n[2] 测试美股交易日历...")
+    params = {"market": "US", "start": "2024-01-01", "end": "2024-01-31"}
+    
+    try:
+        response = requests.get(url, params=params, timeout=10)
+        if response.status_code == 200:
+            data = response.json()
+            print(f"   ✅ 成功: {data['count']} 个交易日")
+            print(f"   市场: {data['market']}")
+            print(f"   交易所: {data['exchange']}")
+            print(f"   前5个交易日: {data['trading_dates'][:5]}")
+        else:
+            print(f"   ❌ 失败: {response.status_code}")
+            print(f"   响应: {response.json()}")
+    except Exception as e:
+        print(f"   ❌ 异常: {e}")
+    
+    # 测试 3: 港股
+    print("\n[3] 测试港股交易日历...")
+    params = {"market": "HK", "start": "2024-01-01", "end": "2024-01-31"}
+    
+    try:
+        response = requests.get(url, params=params, timeout=10)
+        if response.status_code == 200:
+            data = response.json()
+            print(f"   ✅ 成功: {data['count']} 个交易日")
+            print(f"   市场: {data['market']}")
+            print(f"   交易所: {data['exchange']}")
+            print(f"   前5个交易日: {data['trading_dates'][:5]}")
+        else:
+            print(f"   ❌ 失败: {response.status_code}")
+            print(f"   响应: {response.json()}")
+    except Exception as e:
+        print(f"   ❌ 异常: {e}")
+    
+    # 测试 4: 日历信息
+    print("\n[4] 测试日历信息...")
+    url_info = f"{FLASK_API_URL}/api/v1/calendar/info"
+    
+    try:
+        response = requests.get(url_info, timeout=10)
+        if response.status_code == 200:
+            data = response.json()
+            print(f"   ✅ 成功")
+            print(f"   支持的市场:")
+            for market, info in data.get('supported_markets', {}).items():
+                print(f"      {market}: {info['name']} ({info['method']})")
+            print(f"   pandas_market_calendars: {'✅ 已安装' if data.get('pandas_market_calendars_installed') else '❌ 未安装'}")
+        else:
+            print(f"   ❌ 失败: {response.status_code}")
+    except Exception as e:
+        print(f"   ❌ 异常: {e}")
+
+def test_local_fetcher():
+    """测试本地 UniversalDataFetcher"""
+    print("\n" + "="*80)
+    print("🧪 本地 UniversalDataFetcher 测试")
+    print("="*80)
+    
+    sys.path.insert(0, str(Path(__file__).parent.parent))
+    
+    try:
+        from datasource.universal_fetcher import UniversalDataFetcher
+        
+        fetcher = UniversalDataFetcher()
+        
+        # 测试 A 股
+        print("\n[1] A 股交易日历 (2024年)...")
+        cal_a = fetcher.get_trading_calendar('A', '2024-01-01', '2024-12-31')
+        print(f"   ✅ {len(cal_a)} 个交易日")
+        print(f"   前5天: {list(cal_a[:5])}")
+        
+        # 测试美股
+        print("\n[2] 美股交易日历 (2024年)...")
+        cal_us = fetcher.get_trading_calendar('US', '2024-01-01', '2024-12-31')
+        print(f"   ✅ {len(cal_us)} 个交易日")
+        print(f"   前5天: {list(cal_us[:5])}")
+        
+        # 测试港股
+        print("\n[3] 港股交易日历 (2024年)...")
+        cal_hk = fetcher.get_trading_calendar('HK', '2024-01-01', '2024-12-31')
+        print(f"   ✅ {len(cal_hk)} 个交易日")
+        print(f"   前5天: {list(cal_hk[:5])}")
+        
+        # 日历信息
+        print("\n[4] 日历支持信息...")
+        info = fetcher.get_calendar_info()
+        print(f"   ✅ 支持 {len(info['supported_markets'])} 个市场")
+        
+    except Exception as e:
+        print(f"   ❌ 失败: {e}")
+        import traceback
+        traceback.print_exc()
+
+def main():
+    print("\n" + "="*80)
+    print("📅 交易日历功能测试")
+    print("="*80)
+    
+    # 测试 1: 本地 fetcher
+    test_local_fetcher()
+    
+    # 测试 2: Flask API（如果服务在运行）
+    print("\n" + "="*80)
+    print("🌐 测试 Flask API 端点")
+    print("="*80)
+    print(f"\nAPI 地址: {FLASK_API_URL}")
+    print("注意: 需要 Flask 服务正在运行")
+    
+    try:
+        response = requests.get(f"{FLASK_API_URL}/health", timeout=3)
+        if response.status_code == 200:
+            print("✅ Flask 服务可访问")
+            test_calendar_api()
+        else:
+            print(f"⚠️  Flask 服务返回 {response.status_code}，跳过 API 测试")
+    except:
+        print("⚠️  Flask 服务未运行，跳过 API 测试")
+    
+    print("\n" + "="*80)
+    print("✅ 测试完成")
+    print("="*80)
+
+if __name__ == "__main__":
+    main()