feat: 新增外部因素分析模块+综合评分引擎+算法文档重构

新增模块:
- fund_flow_analyzer.py: 主力资金流向分析(P0, ±20)
- market_sentiment.py: 市场情绪指标(P1, ±10)
- external_factors.py: 北向资金/美股/大宗商品/汇率(P2-P4,P7)
- news_analyzer.py: 公告/并购/政策面LLM分析(P5-P6)
- score_engine.py: 综合评分引擎，整合技术面+外部因素

路由更新:
- analysis.py: deep_analyze接入综合评分，根据最终评级修正买卖建议
- market.py: 新增4个外部因素API端点
- trades.py: 交易路由更新

算法文档重构:
- 章节重排: 技术面(二三)→外部因素(四)→买卖决策(五)→数据源(六)→性能(七)
- 架构图更新为五层，标注章节对应
- 5.1/5.2标注纯技术面，5.3整合外部因素修正推荐

stock-html/routes/market.py

@@ -523,3 +523,52 @@ def get_fundamental(stock_code):
         return jsonify({'success': True, 'data': result, 'source': 'api'})
     except Exception as e:
         return jsonify({'error': str(e)}), 500
+
+
+# ============ 市场情绪 & 外部因素 API ============
+
+@bp.route('/market_sentiment', methods=['GET'])
+def market_sentiment():
+    """获取市场情绪指标（涨停跌停比、连板高度、换手率中位数、两市成交额）"""
+    try:
+        from services.market_sentiment import calc_market_sentiment
+        result = calc_market_sentiment()
+        return jsonify({'success': True, 'data': result})
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+@bp.route('/external_factors', methods=['GET'])
+def external_factors():
+    """获取外部因素综合数据（北向资金、美股隔夜、大宗商品、汇率）"""
+    try:
+        from services.external_factors import get_all_external_factors
+        result = get_all_external_factors()
+        return jsonify({'success': True, 'data': result})
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+@bp.route('/fund_flow_analysis/<stock_code>', methods=['GET'])
+def fund_flow_analysis(stock_code):
+    """获取个股资金流向分析（P0：主力资金进出评分和信号）"""
+    try:
+        from services.fund_flow_analyzer import analyze_fund_flow
+        days = request.args.get('days', 5, type=int)
+        result = analyze_fund_flow(stock_code, days=days)
+        return jsonify({'success': True, 'data': result})
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+@bp.route('/news_analysis/<stock_code>', methods=['GET'])
+def news_analysis(stock_code):
+    """获取个股消息面分析（P5公告+P6政策+异动检测）"""
+    try:
+        from services.news_analyzer import analyze_news_factors
+        from services.stock_service import get_stock_name
+        stock_name = get_stock_name(stock_code) or ''
+        result = analyze_news_factors(stock_code, stock_name)
+        return jsonify({'success': True, 'data': result})
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e)}), 500