1

backend/app/analysis/sector_scanner.py

@@ -225,15 +225,16 @@ def scan_hot_sectors(trade_date: str = None) -> list[SectorInfo]:
     if not sectors:
         return []
 
-    # ── 板块阶段判定 ──
+    # ── 板块阶段判定（结合连续天数与累计涨幅）──
     for s in sectors:
-        if s.days_continuous <= 2:
+        cumulative_pct = round(sum(s.pct_trend), 2)
+        if s.days_continuous <= 2 or (s.days_continuous <= 3 and cumulative_pct < 5):
             s.stage = "early"
-        elif s.days_continuous == 3:
+        elif s.days_continuous == 3 and cumulative_pct >= 5 or (s.days_continuous == 4 and cumulative_pct < 8):
             s.stage = "mid"
-        elif s.days_continuous == 4:
+        elif (s.days_continuous == 4 and cumulative_pct >= 8) or (s.days_continuous == 5 and cumulative_pct < 10):
             s.stage = "late"
-        else:
+        elif (s.days_continuous >= 5 and cumulative_pct >= 10) or s.days_continuous >= 6:
             s.stage = "end"
 
     # ── 综合评分 ──

backend/app/analysis/signals.py

@@ -254,20 +254,24 @@ def generate_signals(ts_code: str, name: str = "") -> TechnicalSignal:
     # 计算分数
     score = 0
     signal_count = 0
-    signals = {
-        ma_bullish: 15,
-        volume_breakout: 20,
-        macd_golden: 15,
-        rsi_healthy: 10,
-        pullback_support: 15,
-        big_yang: 15,
-        boll_support: 10,
-    }
-    for is_true, points in signals.items():
+    signal_map = [
+        (ma_bullish, 15),
+        (volume_breakout, 20),
+        (macd_golden, 15),
+        (rsi_healthy, 10),
+        (pullback_support, 15),
+        (big_yang, 15),
+        (boll_support, 10),
+    ]
+    for is_true, points in signal_map:
         if is_true:
             score += points
             signal_count += 1
 
+    # 趋势评分（与推荐体系一致）
+    from app.engine.screener import _score_trend
+    trend_score = round(_score_trend(df), 1)
+
     # 支撑压力位
     support, resist = _calc_support_resist(df)
     last_close = float(df.iloc[-1]["close"])
@@ -287,6 +291,7 @@ def generate_signals(ts_code: str, name: str = "") -> TechnicalSignal:
         big_yang=big_yang,
         boll_support=boll_support,
         score=score,
+        trend_score=trend_score,
         signal_count=signal_count,
         rally_pct_5d=rally_5d,
         rally_pct_10d=rally_10d,

backend/app/api/monitor.py

@@ -1,4 +1,8 @@
-"""涨跌停/异动监控 API"""
+"""涨跌停/异动监控 API
+
+盘后：使用 Tushare 涨跌停列表和日级数据（完整准确）
+盘中：涨跌停仍用 Tushare，异动股用腾讯实时行情（量比/振幅/急涨急跌）
+"""
 
 from fastapi import APIRouter
 
@@ -12,10 +16,12 @@ router = APIRouter(prefix="/api/monitor", tags=["monitor"])
 async def get_limits():
     """获取涨跌停数据"""
     trade_date = tushare_client.get_latest_trade_date()
+    is_realtime = is_market_session()
+
     limit_df = tushare_client.get_limit_list(trade_date)
 
     if limit_df.empty:
-        return {"trade_date": trade_date, "limit_up": [], "limit_down": []}
+        return {"trade_date": trade_date, "is_realtime": False, "limit_up": [], "limit_down": []}
 
     # 拆分涨停和跌停
     up_df = limit_df[limit_df["limit"] == "U"].sort_values("pct_chg", ascending=False)
@@ -40,7 +46,7 @@ async def get_limits():
 
     return {
         "trade_date": trade_date,
-        "is_realtime": is_market_session(),
+        "is_realtime": is_realtime,
         "limit_up": _parse(up_df),
         "limit_down": _parse(down_df),
     }
@@ -48,13 +54,22 @@ async def get_limits():
 
 @router.get("/unusual")
 async def get_unusual():
-    """获取异动股（量比>3、振幅>8%、快速拉升）"""
-    trade_date = tushare_client.get_latest_trade_date()
+    """获取异动股（量比>3、振幅>8%、快速拉升）
 
-    # 获取全市场日线
+    盘中时使用腾讯实时行情补充量比和涨跌幅，
+    盘后使用 Tushare 日级数据。
+    """
+    trade_date = tushare_client.get_latest_trade_date()
+    is_realtime = is_market_session()
+
+    if is_realtime:
+        # 盘中：用腾讯实时行情扫描异动
+        return await _get_unusual_realtime(trade_date)
+
+    # 盘后：使用 Tushare 日级数据
     daily = tushare_client.get_daily_all(trade_date)
     if daily.empty:
-        return {"trade_date": trade_date, "stocks": []}
+        return {"trade_date": trade_date, "is_realtime": False, "stocks": []}
 
     basic = tushare_client.get_daily_basic(trade_date)
     if not basic.empty:
@@ -66,7 +81,6 @@ async def get_unusual():
         for _, r in stock_basic.iterrows():
             name_map[r["ts_code"]] = r["name"]
 
-    # 筛选异动条件
     unusual = []
     for _, r in daily.iterrows():
         ts = r.get("ts_code", "")
@@ -103,4 +117,55 @@ async def get_unusual():
             })
 
     unusual.sort(key=lambda x: abs(x["pct_chg"]), reverse=True)
-    return {"trade_date": trade_date, "stocks": unusual[:50]}
+    return {"trade_date": trade_date, "is_realtime": False, "stocks": unusual[:50]}
+
+
+async def _get_unusual_realtime(trade_date: str) -> dict:
+    """盘中：用腾讯实时行情扫描异动"""
+    from app.data.tencent_client import get_realtime_quotes_batch
+
+    stock_basic = tushare_client.get_stock_basic()
+    if stock_basic.empty:
+        return {"trade_date": trade_date, "is_realtime": True, "stocks": []}
+
+    # 只扫描主板（非 ST）
+    valid = stock_basic[
+        ~stock_basic["name"].str.contains("ST", na=False)
+    ]
+    codes = valid["ts_code"].tolist()
+
+    # 分批获取实时行情
+    unusual = []
+    batch_size = 200
+    for i in range(0, len(codes), batch_size):
+        batch = codes[i:i + batch_size]
+        quotes = await get_realtime_quotes_batch(batch)
+
+        for ts_code, q in quotes.items():
+            if not q.price or q.price <= 0:
+                continue
+
+            tags = []
+            if q.volume_ratio and q.volume_ratio > 3:
+                tags.append("巨量")
+            if q.amplitude and q.amplitude > 8:
+                tags.append("高振幅")
+            if q.pct_chg > 7:
+                tags.append("急涨")
+            elif q.pct_chg < -7:
+                tags.append("急跌")
+
+            if tags:
+                unusual.append({
+                    "ts_code": ts_code,
+                    "name": q.name or ts_code,
+                    "close": q.price,
+                    "pct_chg": q.pct_chg,
+                    "amplitude": round(q.amplitude, 2) if q.amplitude else 0,
+                    "volume_ratio": round(q.volume_ratio, 2) if q.volume_ratio else 0,
+                    "turnover_rate": round(q.turnover_rate, 2) if q.turnover_rate else 0,
+                    "tags": tags,
+                })
+
+    unusual.sort(key=lambda x: abs(x["pct_chg"]), reverse=True)
+    return {"trade_date": trade_date, "is_realtime": True, "stocks": unusual[:50]}

backend/app/api/recommendations.py

@@ -43,6 +43,8 @@ async def get_latest():
                 "sector_score": r.sector_score,
                 "capital_score": r.capital_score,
                 "technical_score": r.technical_score,
+                "supply_demand_score": r.supply_demand_score,
+                "price_action_score": r.price_action_score,
                 "position_score": r.position_score,
                 "valuation_score": r.valuation_score,
                 "entry_price": r.entry_price,
@@ -79,6 +81,20 @@ async def refresh(scan_session: str = "manual"):
     }
 
 
+@router.post("/update-tracking")
+async def update_tracking():
+    """独立更新推荐跟踪数据（不触发新扫描，盘中可单独调用）"""
+    from app.engine.recommender import _update_tracking
+    await _update_tracking()
+    stats = await get_performance_stats()
+    return {
+        "status": "ok",
+        "tracked": stats.get("tracked", 0),
+        "win_rate": stats.get("win_rate", 0),
+        "avg_return": stats.get("avg_return", 0),
+    }
+
+
 @router.get("/status")
 async def get_scan_status():
     """获取当前扫描状态信息"""

backend/app/api/sectors.py

@@ -7,6 +7,7 @@ from fastapi import APIRouter
 from app.config import is_market_session
 from app.data.tushare_client import tushare_client
 from app.data.tencent_client import get_realtime_quotes_batch
+from app.data.cache import cache
 from app.engine.recommender import get_latest_sectors
 
 logger = logging.getLogger(__name__)
@@ -122,6 +123,12 @@ async def get_hot_sectors(limit: int = 10):
 @router.get("/rotation")
 async def get_sector_rotation(days: int = 5):
     """获取近N日板块轮动数据（用于热力图）"""
+    # 检查缓存
+    cache_key = f"sector_rotation:{days}"
+    cached = cache.get(cache_key)
+    if cached is not None:
+        return cached
+
     trade_date = tushare_client.get_latest_trade_date()
 
     # 获取交易日历
@@ -190,4 +197,9 @@ async def get_sector_rotation(days: int = 5):
         reverse=True,
     )[:20]
 
-    return {"trade_date": trade_date, "dates": recent_dates, "sectors": sorted_sectors}
+    result = {"trade_date": trade_date, "dates": recent_dates, "sectors": sorted_sectors}
+
+    # 写入缓存，TTL 300秒（5分钟）
+    cache.set(cache_key, result, ttl=300)
+
+    return result

backend/app/api/stocks.py

@@ -1,12 +1,20 @@
 """个股分析 API"""
 
+import json
+import logging
+from datetime import datetime, timedelta
+
 from fastapi import APIRouter
+from starlette.responses import StreamingResponse
 
 from app.data.tushare_client import tushare_client
 from app.data import tencent_client
 from app.analysis.technical import add_all_indicators
 from app.analysis.signals import generate_signals
+from app.db.database import get_db
+from app.db import tables
 
+logger = logging.getLogger(__name__)
 router = APIRouter(prefix="/api/stocks", tags=["stocks"])
 
 
@@ -91,35 +99,115 @@ async def search_stock(keyword: str):
     return matches[["ts_code", "name", "industry"]].to_dict(orient="records")
 
 
+@router.get("/{ts_code}/diagnose/history")
+async def get_diagnose_history(ts_code: str):
+    """获取个股最近5次诊断历史"""
+    try:
+        from sqlalchemy import text
+        async with get_db() as db:
+            result = await db.execute(
+                text(
+                    "SELECT id, ts_code, name, diagnosis, created_at "
+                    "FROM stock_diagnoses "
+                    "WHERE ts_code = :code "
+                    "ORDER BY created_at DESC LIMIT 5"
+                ),
+                {"code": ts_code},
+            )
+            rows = result.fetchall()
+            history = []
+            for row in rows:
+                r = row._mapping
+                history.append({
+                    "id": r["id"],
+                    "ts_code": r["ts_code"],
+                    "name": r["name"],
+                    "diagnosis": r["diagnosis"],
+                    "created_at": str(r["created_at"]),
+                })
+            return history
+    except Exception as e:
+        logger.error(f"获取诊断历史失败: {e}")
+        return []
+
+
 @router.post("/{ts_code}/diagnose")
 async def diagnose_stock(ts_code: str):
-    """AI 诊断个股"""
+    """AI 诊断个股（SSE 流式返回）"""
     from app.config import settings
     if not settings.deepseek_api_key:
         return {"status": "error", "message": "未配置 LLM API Key"}
 
     from app.llm.client import get_client
+    from sqlalchemy import text
 
-    # 收集数据
+    # ── 检查是否有最近30分钟内的诊断记录，若有则直接返回 ──
+    try:
+        async with get_db() as db:
+            result = await db.execute(
+                text(
+                    "SELECT id, ts_code, name, diagnosis, created_at "
+                    "FROM stock_diagnoses "
+                    "WHERE ts_code = :code "
+                    "AND created_at >= datetime('now', '-30 minutes', 'localtime') "
+                    "ORDER BY created_at DESC LIMIT 1"
+                ),
+                {"code": ts_code},
+            )
+            recent_row = result.fetchone()
+            if recent_row:
+                r = recent_row._mapping
+                # 直接返回缓存结果
+                async def _cached_stream():
+                    yield f"data: {json.dumps({'cached': True, 'diagnosis': r['diagnosis']}, ensure_ascii=False)}\n\n"
+                    yield f"data: {json.dumps({'done': True, 'ts_code': ts_code})}\n\n"
+                return StreamingResponse(_cached_stream(), media_type="text/event-stream")
+    except Exception as e:
+        logger.warning(f"检查诊断缓存失败: {e}")
+
+    # ── 收集数据 ──
     quote = await tencent_client.get_realtime_quote(ts_code)
     signals = generate_signals(ts_code)
 
-    df_daily = tushare_client.get_stock_daily(ts_code, days=30)
+    df_daily = tushare_client.get_stock_daily(ts_code, days=120)
     df_flow = tushare_client.get_stock_moneyflow(ts_code, days=10)
 
+    # ── 数据新鲜度检查 ──
+    freshness_note = ""
+    data_stale = False
+    current_price_source = ""
+
+    if not df_daily.empty:
+        df_daily = df_daily.sort_values("trade_date")
+        latest_kline_date = str(df_daily.iloc[-1]["trade_date"])
+        # 检查 K 线数据是否超过 10 天未更新
+        cutoff_date = (datetime.now() - timedelta(days=10)).strftime("%Y%m%d")
+        if latest_kline_date < cutoff_date:
+            logger.warning(f"K线数据过时 {ts_code}: 最新={latest_kline_date}, 10天前阈值={cutoff_date}")
+            data_stale = True
+
+        # 如果最新 K 线日期不是今天，添加新鲜度提示
+        today_str = datetime.now().strftime("%Y%m%d")
+        if latest_kline_date != today_str:
+            freshness_note = f"\n\n注意：K线数据最新日期为{latest_kline_date}，非当日数据，部分分析可能滞后。"
+
+        # 数据过时时，使用实时报价价格作为"当前价"替代
+        if data_stale and quote and quote.price > 0:
+            current_price_source = f"（实时报价价 {quote.price}，K线收盘价 {df_daily.iloc[-1]['close']} 可能滞后）"
+
     # 构建数据摘要
     quote_str = ""
     if quote:
         quote_str = (
-            f"当前价: {quote.price}, 涨跌幅: {quote.pct_chg}%, "
+            f"当前价: {quote.price}{current_price_source}, 涨跌幅: {quote.pct_chg}%, "
             f"换手率: {quote.turnover_rate}%, 量比: {quote.volume_ratio}, "
             f"PE: {quote.pe}, PB: {quote.pb}, "
             f"总市值: {quote.total_mv}亿, 流通市值: {quote.circ_mv}亿"
         )
 
     signal_str = (
-        f"技术评分: {signals.score}/100（基于7项技术信号触发计分，触发少不代表一定差，可能处于蓄势阶段）, "
-        f"信号数: {signals.signal_count}/7, "
+        f"推荐体系评分: 趋势评分={signals.trend_score}/100（均线排列+高低点结构+MA20方向，主评分10%权重), "
+        f"辅助信号计数={signals.signal_count}/7（触发计分，仅供参考不参与主评分), "
         f"均线多头: {signals.ma_bullish}, "
         f"放量突破: {signals.volume_breakout}, "
         f"MACD金叉: {signals.macd_golden}, "
@@ -142,7 +230,6 @@ async def diagnose_stock(ts_code: str):
     trend_str = ""
     ma_info = ""
     if not df_daily.empty:
-        df_daily = df_daily.sort_values("trade_date")
         latest = df_daily.iloc[-1]
         if len(df_daily) >= 5:
             pct_5d = (latest["close"] - df_daily.iloc[-5]["close"]) / df_daily.iloc[-5]["close"] * 100
@@ -171,6 +258,7 @@ async def diagnose_stock(ts_code: str):
     flow_str = ""
     if not df_flow.empty:
         df_flow = df_flow.sort_values("trade_date")
+        latest_flow_date = str(df_flow.iloc[-1]["trade_date"])
         recent_3 = df_flow.tail(3)
         total_main = 0
         for _, r in recent_3.iterrows():
@@ -180,15 +268,78 @@ async def diagnose_stock(ts_code: str):
             )
             total_main += main_net
         flow_str = f"近3日主力净流入: {total_main:.0f}万"
+        # 资金流向数据新鲜度标注
+        today_str = datetime.now().strftime("%Y%m%d")
+        if latest_flow_date != today_str:
+            flow_str += f"（数据截至{latest_flow_date}，盘中可能滞后一日）"
 
     # 基本信息
     basic_info = ""
+    stock_name = ""
+    industry = ""
     basic_df = tushare_client.get_stock_basic()
     if not basic_df.empty:
         row = basic_df[basic_df["ts_code"] == ts_code]
         if not row.empty:
             r = row.iloc[0]
-            basic_info = f"名称: {r['name']}, 行业: {r.get('industry', '未知')}"
+            stock_name = r["name"]
+            industry = r.get("industry", "") or ""
+            basic_info = f"名称: {r['name']}, 行业: {industry}"
+
+    # 推荐体系评分（如果该股票在推荐列表中）
+    rec_score_str = ""
+    try:
+        async with get_db() as db:
+            rec_result = await db.execute(
+                text(
+                    "SELECT score, supply_demand_score, price_action_score, "
+                    "technical_score, position_score, sector, signal "
+                    "FROM recommendations "
+                    "WHERE ts_code = :code AND score >= 60 "
+                    "ORDER BY created_at DESC LIMIT 1"
+                ),
+                {"code": ts_code},
+            )
+            rec_row = rec_result.fetchone()
+            if rec_row:
+                rm = rec_row._mapping
+                rec_score_str = (
+                    f"\n推荐体系评分: 综合={rm['score']}, "
+                    f"供需={rm['supply_demand_score']}(50%权重), "
+                    f"形态={rm['price_action_score']}(40%权重), "
+                    f"趋势={rm['technical_score']}(10%权重), "
+                    f"位置安全={rm['position_score']}, "
+                    f"板块={rm['sector']}, "
+                    f"信号={rm['signal']}"
+                )
+    except Exception:
+        pass
+
+    # 板块热度（如果有该行业板块数据）
+    sector_str = ""
+    if industry:
+        try:
+            async with get_db() as db:
+                sector_result = await db.execute(
+                    text(
+                        "SELECT sector_name, pct_change, heat_score, stage, "
+                        "days_continuous, limit_up_count "
+                        "FROM sector_heat "
+                        "WHERE sector_name LIKE :industry "
+                        "ORDER BY created_at DESC LIMIT 1"
+                    ),
+                    {"industry": f"%{industry}%"},
+                )
+                s_row = sector_result.fetchone()
+                if s_row:
+                    sm = s_row._mapping
+                    sector_str = (
+                        f"板块热度: {sm['sector_name']} 涨幅={sm['pct_change']}%, "
+                        f"热度={sm['heat_score']}, 阶段={sm['stage']}, "
+                        f"连续{sm['days_continuous']}天, 涨停数={sm['limit_up_count']}"
+                    )
+        except Exception:
+            pass
 
     user_msg = f"""请对以下A股进行全面诊断分析：
 
@@ -202,34 +353,73 @@ async def diagnose_stock(ts_code: str):
 趋势: {trend_str}
 {ma_info}
 资金面: {flow_str}
+{rec_score_str}
+{sector_str}
 
-重要提示：技术评分基于7项信号触发计分，分数低不代表股票差，可能处于蓄势阶段。位置安全评分高(>80)表示股价处于相对低位。请综合技术评分和位置安全评分一起判断。
+重要提示：
+1. 趋势评分是推荐体系的技术面核心分数（均线排列40+高低点结构35+MA20方向25=满分100），辅助信号计数仅供参考不参与主评分。
+2. 位置安全评分高(>80)表示股价处于相对低位，低(<40)表示可能追高。
+3. 如果有推荐体系评分，请作为主要分析依据；趋势评分和信号计数从不同维度描述技术面状态。
+{freshness_note}
 
 请从以下维度分析（Markdown格式，简洁专业）：
 ## 综合评级
-（给出1-5星评级和一句话总结，综合技术面和位置安全评分）
+（给出1-5星评级和一句话总结，综合趋势评分、位置安全和供需形态）
 
 ## 技术面分析
-（趋势方向、均线关系、支撑压力、量价配合，注意区分"技术信号未触发"和"技术面恶化"）
+（趋势方向、均线关系、支撑压力、量价配合，优先参考趋势评分而非信号计数）
 
 ## 资金面分析
-（主力资金态度、筹码集中度推测）
+（主力资金态度、板块联动效应）
 
 ## 操作建议
 （适合什么类型的投资者、入场时机、风险提示）"""
 
-    try:
-        client = get_client()
-        response = await client.chat.completions.create(
-            model=settings.deepseek_model,
-            messages=[
-                {"role": "system", "content": "你是一位专业的A股分析师，擅长技术面和资金面分析。回复使用Markdown格式，简洁专业，客观理性。"},
-                {"role": "user", "content": user_msg},
-            ],
-            max_tokens=1500,
-            temperature=0.5,
-        )
-        content = response.choices[0].message.content.strip()
-        return {"status": "ok", "ts_code": ts_code, "diagnosis": content}
-    except Exception as e:
-        return {"status": "error", "message": str(e)}
+    # ── SSE 流式返回 ──
+    async def _stream_diagnosis():
+        full_content = ""
+        try:
+            client = get_client()
+            stream = await client.chat.completions.create(
+                model=settings.deepseek_model,
+                messages=[
+                    {"role": "system", "content": "你是一位专业的A股分析师，擅长技术面和资金面分析。回复使用Markdown格式，简洁专业，客观理性。"},
+                    {"role": "user", "content": user_msg},
+                ],
+                max_tokens=1500,
+                temperature=0.5,
+                stream=True,
+            )
+            async for chunk in stream:
+                if chunk.choices and chunk.choices[0].delta:
+                    token = chunk.choices[0].delta.content or ""
+                    if token:
+                        full_content += token
+                        yield f"data: {json.dumps({'token': token}, ensure_ascii=False)}\n\n"
+
+            # 流式完成后，保存到数据库
+            full_content = full_content.strip()
+            if full_content:
+                try:
+                    async with get_db() as db:
+                        await db.execute(
+                            tables.stock_diagnoses_table.insert().values(
+                                ts_code=ts_code,
+                                name=stock_name or ts_code,
+                                diagnosis=full_content,
+                            )
+                        )
+                        await db.commit()
+                        logger.info(f"已保存诊断结果到数据库: {ts_code}")
+                except Exception as e:
+                    logger.error(f"保存诊断结果到数据库失败: {e}")
+
+            yield f"data: {json.dumps({'done': True, 'ts_code': ts_code}, ensure_ascii=False)}\n\n"
+
+        except Exception as e:
+            error_msg = str(e)
+            logger.error(f"诊断流式调用失败: {error_msg}")
+            yield f"data: {json.dumps({'error': error_msg}, ensure_ascii=False)}\n\n"
+            yield f"data: {json.dumps({'done': True, 'ts_code': ts_code}, ensure_ascii=False)}\n\n"
+
+    return StreamingResponse(_stream_diagnosis(), media_type="text/event-stream")

backend/app/data/models.py

@@ -94,7 +94,8 @@ class TechnicalSignal(BaseModel):
     pullback_support: bool = False  # 缩量回踩支撑
     big_yang: bool = False          # 底部放量长阳
     boll_support: bool = False      # 布林带下轨支撑
-    score: float = 0                # 技术面总分
+    score: float = 0                # 信号触发计数分
+    trend_score: float = 0          # 趋势评分（推荐体系用的技术面分数）
     signal_count: int = 0           # 满足的信号数量
 
     # 位置安全评估（防追高）
@@ -118,6 +119,8 @@ class Recommendation(BaseModel):
     sector_score: float
     capital_score: float
     technical_score: float
+    supply_demand_score: float = 0  # 供需评分（主评分50%权重）
+    price_action_score: float = 0  # 价格行为评分（主评分40%权重）
     position_score: float = 50      # 位置安全得分
     valuation_score: float = 50     # 估值安全得分
     signal: str                     # BUY / SELL / HOLD

backend/app/db/database.py

@@ -34,6 +34,13 @@ async def init_db():
             "ALTER TABLE market_temperature ADD COLUMN max_streak INTEGER",
             "ALTER TABLE market_temperature ADD COLUMN broken_rate REAL",
             "ALTER TABLE recommendations ADD COLUMN entry_signal_type TEXT DEFAULT 'none'",
+            "ALTER TABLE sector_heat ADD COLUMN stage TEXT",
+            "ALTER TABLE sector_heat ADD COLUMN days_continuous INTEGER",
+            "ALTER TABLE sector_heat ADD COLUMN member_count INTEGER",
+            "ALTER TABLE sector_heat ADD COLUMN leading_stocks TEXT",
+            "ALTER TABLE sector_heat ADD COLUMN pct_trend TEXT",
+            "ALTER TABLE sector_heat ADD COLUMN turnover_avg REAL",
+            "ALTER TABLE sector_heat ADD COLUMN main_force_ratio REAL",
         ]:
             try:
                 await conn.execute(

backend/app/db/tables.py

@@ -18,6 +18,8 @@ recommendations_table = Table(
     Column("sector_score", Float),
     Column("capital_score", Float),
     Column("technical_score", Float),
+    Column("supply_demand_score", Float, default=0),
+    Column("price_action_score", Float, default=0),
     Column("position_score", Float),
     Column("valuation_score", Float),
     Column("signal", Text),
@@ -42,6 +44,13 @@ sector_heat_table = Table(
     Column("capital_inflow", Float),
     Column("limit_up_count", Integer),
     Column("heat_score", Float),
+    Column("stage", Text),
+    Column("days_continuous", Integer),
+    Column("member_count", Integer),
+    Column("leading_stocks", Text),   # JSON string
+    Column("pct_trend", Text),        # JSON string
+    Column("turnover_avg", Float),
+    Column("main_force_ratio", Float),
     Column("trade_date", Text, nullable=False),
     Column("created_at", DateTime, server_default=func.now()),
 )
@@ -91,3 +100,12 @@ daily_reviews_table = Table(
     Column("content", Text, default=""),
     Column("created_at", DateTime, server_default=func.now()),
 )
+
+stock_diagnoses_table = Table(
+    "stock_diagnoses", metadata,
+    Column("id", Integer, primary_key=True, autoincrement=True),
+    Column("ts_code", Text, nullable=False),
+    Column("name", Text, nullable=False),
+    Column("diagnosis", Text, nullable=False),
+    Column("created_at", DateTime, server_default=func.now()),
+)

backend/app/engine/recommender.py

@@ -5,6 +5,7 @@
 """
 
 import logging
+import json
 from datetime import datetime
 from app.engine.screener import run_screening
 from app.data.models import Recommendation, MarketTemperature, SectorInfo
@@ -138,29 +139,31 @@ async def get_performance_stats() -> dict:
             )
             tracked = result.scalar() or 0
 
-            # 盈利（pct_from_entry > 0）的推荐数
+            # 胜率基于最新跟踪日的最终 pct（正值=盈利，负值=亏损）
             result = await db.execute(
                 text(
                     "SELECT COUNT(*) FROM ("
-                    "  SELECT t.recommendation_id, MAX(t.pct_from_entry) as max_pct "
+                    "  SELECT t.recommendation_id, t.pct_from_entry as latest_pct "
                     "  FROM recommendation_tracking t "
-                    "  GROUP BY t.recommendation_id"
-                    ") WHERE max_pct > 0"
+                    "  INNER JOIN ("
+                    "    SELECT recommendation_id, MAX(id) as max_id "
+                    "    FROM recommendation_tracking GROUP BY recommendation_id"
+                    "  ) latest ON t.id = latest.max_id"
+                    ") WHERE latest_pct > 0"
                 )
             )
             winning = result.scalar() or 0
 
-            # 平均收益
+            # 平均收益（基于最新跟踪日的 pct）
             result = await db.execute(
                 text(
                     "SELECT AVG(latest_pct) FROM ("
-                    "  SELECT t.recommendation_id, t.pct_from_entry as latest_pct "
+                    "  SELECT t.pct_from_entry as latest_pct "
                     "  FROM recommendation_tracking t "
                     "  INNER JOIN ("
-                    "    SELECT recommendation_id, MAX(track_date) as max_date "
+                    "    SELECT recommendation_id, MAX(id) as max_id "
                     "    FROM recommendation_tracking GROUP BY recommendation_id"
-                    "  ) latest ON t.recommendation_id = latest.recommendation_id "
-                    "           AND t.track_date = latest.max_date"
+                    "  ) latest ON t.id = latest.max_id"
                     ")"
                 )
             )
@@ -185,7 +188,7 @@ async def get_performance_stats() -> dict:
             )
             hit_stop_count = result.scalar() or 0
 
-            # 最近5条有跟踪的推荐详情
+            # 最近跟踪的推荐详情
             result = await db.execute(
                 text(
                     "SELECT r.ts_code, r.name, r.signal, r.entry_price, "
@@ -195,10 +198,9 @@ async def get_performance_stats() -> dict:
                     "FROM recommendations r "
                     "INNER JOIN recommendation_tracking t ON t.recommendation_id = r.id "
                     "INNER JOIN ("
-                    "  SELECT recommendation_id, MAX(track_date) as max_date "
+                    "  SELECT recommendation_id, MAX(id) as max_id "
                     "  FROM recommendation_tracking GROUP BY recommendation_id"
-                    ") latest ON t.recommendation_id = latest.recommendation_id "
-                    "         AND t.track_date = latest.max_date "
+                    ") latest ON t.id = latest.max_id "
                     "ORDER BY r.created_at DESC LIMIT 20"
                 )
             )
@@ -306,6 +308,8 @@ async def get_recommendation_history(days: int = 7) -> list[dict]:
                 "sector_score": r["sector_score"] or 0,
                 "capital_score": r["capital_score"] or 0,
                 "technical_score": r["technical_score"] or 0,
+                "supply_demand_score": r.get("supply_demand_score") or 0,
+                "price_action_score": r.get("price_action_score") or 0,
                 "position_score": r.get("position_score") or 50,
                 "valuation_score": r.get("valuation_score") or 50,
                 "entry_price": r["entry_price"],
@@ -395,18 +399,24 @@ async def _save_to_db(result: dict):
                     capital_inflow=sector.capital_inflow,
                     limit_up_count=sector.limit_up_count,
                     heat_score=sector.heat_score,
+                    stage=sector.stage,
+                    days_continuous=sector.days_continuous,
+                    member_count=sector.member_count,
+                    leading_stocks=json.dumps(sector.leading_stocks, ensure_ascii=False),
+                    pct_trend=json.dumps(sector.pct_trend, ensure_ascii=False),
+                    turnover_avg=sector.turnover_avg,
+                    main_force_ratio=sector.main_force_ratio,
                     trade_date=trade_date_val,
                 )
                 await db.execute(stmt)
 
-            # 保存推荐（先清除今日旧推荐，避免重复）
+            # 保存推荐（按 ts_code 清除当日旧记录，避免同一天多次扫描产生重复）
             today_str = datetime.now().strftime("%Y-%m-%d")
-            await db.execute(
-                text("DELETE FROM recommendations WHERE date(created_at) = :today"),
-                {"today": today_str},
-            )
-            import json
             for rec in result.get("recommendations", []):
+                await db.execute(
+                    text("DELETE FROM recommendations WHERE date(created_at) = :today AND ts_code = :code"),
+                    {"today": today_str, "code": rec.ts_code},
+                )
                 stmt = tables.recommendations_table.insert().values(
                     ts_code=rec.ts_code,
                     name=rec.name,
@@ -416,6 +426,8 @@ async def _save_to_db(result: dict):
                     sector_score=rec.sector_score,
                     capital_score=rec.capital_score,
                     technical_score=rec.technical_score,
+                    supply_demand_score=rec.supply_demand_score,
+                    price_action_score=rec.price_action_score,
                     position_score=rec.position_score,
                     valuation_score=rec.valuation_score,
                     signal=rec.signal,
@@ -464,10 +476,11 @@ async def _load_today_from_db() -> dict:
                     temperature=m["temperature"],
                 )
 
-            # 加载推荐（取最近一个有数据的日期，按 ts_code 去重）
+            # 加载推荐（取最近一个有数据的日期，按 ts_code 去重，只取 >= 60 分）
             result = await db.execute(
                 text("SELECT * FROM recommendations "
                      "WHERE date(created_at) = (SELECT date(created_at) FROM recommendations ORDER BY created_at DESC LIMIT 1) "
+                     "AND score >= 60 "
                      "AND id IN (SELECT MAX(id) FROM recommendations "
                      "  WHERE date(created_at) = (SELECT date(created_at) FROM recommendations ORDER BY created_at DESC LIMIT 1) "
                      "  GROUP BY ts_code) "
@@ -486,6 +499,8 @@ async def _load_today_from_db() -> dict:
                     sector_score=r["sector_score"] or 0,
                     capital_score=r["capital_score"] or 0,
                     technical_score=r["technical_score"] or 0,
+                    supply_demand_score=r.get("supply_demand_score") or 0,
+                    price_action_score=r.get("price_action_score") or 0,
                     position_score=r.get("position_score") or 50,
                     valuation_score=r.get("valuation_score") or 50,
                     signal=r["signal"] or "HOLD",
@@ -532,14 +547,23 @@ async def _load_sectors_from_db() -> list[SectorInfo]:
             sectors = []
             for row in rows:
                 r = row._mapping
+                # Parse JSON fields with fallback
+                leading_stocks = json.loads(r.get("leading_stocks") or "[]")
+                pct_trend = json.loads(r.get("pct_trend") or "[]")
                 sectors.append(SectorInfo(
                     sector_code=r["sector_code"],
                     sector_name=r["sector_name"],
                     pct_change=r["pct_change"] or 0,
                     capital_inflow=r["capital_inflow"] or 0,
                     limit_up_count=r["limit_up_count"] or 0,
-                    days_continuous=0,
+                    days_continuous=r.get("days_continuous") or 0,
                     heat_score=r["heat_score"] or 0,
+                    stage=r.get("stage") or "mid",
+                    member_count=r.get("member_count") or 0,
+                    leading_stocks=leading_stocks,
+                    pct_trend=pct_trend,
+                    turnover_avg=r.get("turnover_avg") or 0,
+                    main_force_ratio=r.get("main_force_ratio") or 0,
                 ))
             return sectors
     except Exception as e:

backend/app/engine/screener.py

@@ -124,8 +124,8 @@ async def run_screening(trade_date: str = None) -> dict:
         candidates, market_temp, hot_sectors, market_temp_score, intraday,
     )
 
-    # 过滤低质量推荐
-    recommendations = [r for r in recommendations if r.score >= 40]
+    # 过滤低质量推荐（低于60分不推荐）
+    recommendations = [r for r in recommendations if r.score >= 60]
 
     logger.info(f"=== 筛选完成: {len(recommendations)} 只股票 ({scan_mode}) ===")
     for r in recommendations[:5]:
@@ -562,6 +562,8 @@ async def _build_recommendations(
                 sector_score=round(_get_sector_heat(sector, hot_sectors), 1),
                 capital_score=round(_score_capital_simple(stock), 1),
                 technical_score=round(trend_score, 1),
+                supply_demand_score=round(supply_demand_score, 1),
+                price_action_score=round(price_action_score, 1),
                 position_score=round(position_score, 1),
                 valuation_score=round(valuation_score, 1),
                 signal=signal,

backend/app/llm/enhancer.py

@@ -1,135 +1,15 @@
 """推荐结果 LLM 增强
 
-扫描完成后异步调用 LLM，为每只推荐股票生成深度分析。
+现在统一使用 analysis_agent 模块进行深度分析。
+此文件保留为兼容入口，内部直接调用 analysis_agent。
 """
 
-import asyncio
-import json
 import logging
-from app.llm.client import chat_completion
-from app.llm.prompts import ENHANCE_SYSTEM_PROMPT, ENHANCE_USER_TEMPLATE
-from app.config import settings
 
 logger = logging.getLogger(__name__)
 
 
 async def enhance_recommendations(result: dict) -> None:
-    """对推荐结果进行 LLM 增强分析（fire-and-forget）"""
-    if not settings.deepseek_api_key:
-        return
-
-    recommendations = result.get("recommendations", [])
-    if not recommendations:
-        return
-
-    market_temp = result.get("market_temp")
-    hot_sectors = result.get("hot_sectors", [])
-
-    # 构建板块文本
-    sectors_text = "\n".join(
-        f"- {s.sector_name}: 涨幅{s.pct_change}%, 资金流入{s.capital_inflow}万, "
-        f"涨停{s.limit_up_count}家, 热度{s.heat_score}分, 阶段={s.stage}"
-        for s in hot_sectors[:5]
-    ) if hot_sectors else "暂无板块数据"
-
-    # 温度等级
-    temp_val = market_temp.temperature if market_temp else 0
-    if temp_val >= 60:
-        temp_level = "积极"
-    elif temp_val >= 30:
-        temp_level = "谨慎"
-    else:
-        temp_level = "低迷"
-
-    enhanced_count = 0
-    for rec in recommendations:
-        try:
-            user_msg = ENHANCE_USER_TEMPLATE.format(
-                temperature=market_temp.temperature if market_temp else "N/A",
-                temp_level=temp_level,
-                up_count=market_temp.up_count if market_temp else 0,
-                down_count=market_temp.down_count if market_temp else 0,
-                limit_up_count=market_temp.limit_up_count if market_temp else 0,
-                max_streak=market_temp.max_streak if market_temp else 0,
-                broken_rate=market_temp.broken_rate if market_temp else 0,
-                sectors_text=sectors_text,
-                name=rec.name,
-                ts_code=rec.ts_code,
-                sector=rec.sector,
-                score=rec.score,
-                level=rec.level,
-                market_temp_score=rec.market_temp_score,
-                sector_score=rec.sector_score,
-                capital_score=rec.capital_score,
-                technical_score=rec.technical_score,
-                position_score=rec.position_score,
-                valuation_score=rec.valuation_score,
-                signal=rec.signal,
-                entry_price=rec.entry_price or "N/A",
-                target_price=rec.target_price or "N/A",
-                stop_loss=rec.stop_loss or "N/A",
-                reasons="；".join(rec.reasons) if rec.reasons else "无",
-            )
-
-            messages = [
-                {"role": "system", "content": ENHANCE_SYSTEM_PROMPT},
-                {"role": "user", "content": user_msg},
-            ]
-
-            resp = await chat_completion(messages)
-            if resp and resp.content:
-                rec.llm_analysis = resp.content.strip()
-                enhanced_count += 1
-
-        except asyncio.CancelledError:
-            logger.warning(f"LLM 增强 {rec.ts_code} 被取消")
-            break
-        except Exception as e:
-            logger.error(f"LLM 增强 {rec.ts_code} 失败: {e}")
-
-    if enhanced_count > 0:
-        # 更新数据库
-        await _save_llm_analysis_to_db(recommendations)
-        # 通过 WebSocket 通知前端
-        await _broadcast_llm_ready(recommendations)
-
-    logger.info(f"LLM 增强完成: {enhanced_count}/{len(recommendations)} 条")
-
-
-async def _save_llm_analysis_to_db(recommendations: list) -> None:
-    """将 LLM 分析结果更新到数据库"""
-    try:
-        from app.db.database import get_db
-        from sqlalchemy import text
-
-        async with get_db() as db:
-            for rec in recommendations:
-                if not rec.llm_analysis:
-                    continue
-                await db.execute(
-                    text(
-                        "UPDATE recommendations SET llm_analysis = :analysis "
-                        "WHERE ts_code = :code AND date(created_at) = date('now', 'localtime') "
-                        "AND scan_session = :session"
-                    ),
-                    {
-                        "analysis": rec.llm_analysis,
-                        "code": rec.ts_code,
-                        "session": rec.scan_session,
-                    },
-                )
-            await db.commit()
-    except Exception as e:
-        logger.error(f"保存 LLM 分析到数据库失败: {e}")
-
-
-async def _broadcast_llm_ready(recommendations: list) -> None:
-    """通过 WebSocket 广播 LLM 分析完成事件"""
-    try:
-        from app.api.websocket import broadcast_update
-        await broadcast_update({
-            "type": "llm_analysis_ready",
-            "count": len([r for r in recommendations if r.llm_analysis]),
-        })
-    except Exception as e:
-        logger.error(f"广播 LLM 分析完成失败: {e}")
+    """对推荐结果进行 LLM 增强分析（兼容入口，委托给 analysis_agent）"""
+    from app.llm.analysis_agent import analyze_recommendations
+    await analyze_recommendations(result)

frontend/.next/app-build-manifest.json

@@ -10,31 +10,6 @@
       "static/chunks/main-app.js",
       "static/css/app/layout.css",
       "static/chunks/app/layout.js"
-    ],
-    "/stock/[code]/page": [
-      "static/chunks/webpack.js",
-      "static/chunks/main-app.js",
-      "static/chunks/app/stock/[code]/page.js"
-    ],
-    "/monitor/page": [
-      "static/chunks/webpack.js",
-      "static/chunks/main-app.js",
-      "static/chunks/app/monitor/page.js"
-    ],
-    "/recommendations/page": [
-      "static/chunks/webpack.js",
-      "static/chunks/main-app.js",
-      "static/chunks/app/recommendations/page.js"
-    ],
-    "/sectors/page": [
-      "static/chunks/webpack.js",
-      "static/chunks/main-app.js",
-      "static/chunks/app/sectors/page.js"
-    ],
-    "/diagnose/page": [
-      "static/chunks/webpack.js",
-      "static/chunks/main-app.js",
-      "static/chunks/app/diagnose/page.js"
     ]
   }
 }

frontend/.next/build-manifest.json

@@ -2,9 +2,7 @@
   "polyfillFiles": [
     "static/chunks/polyfills.js"
   ],
-  "devFiles": [
-    "static/chunks/react-refresh.js"
-  ],
+  "devFiles": [],
   "ampDevFiles": [],
   "lowPriorityFiles": [
     "static/development/_buildManifest.js",
@@ -15,16 +13,7 @@
     "static/chunks/main-app.js"
   ],
   "pages": {
-    "/_app": [
-      "static/chunks/webpack.js",
-      "static/chunks/main.js",
-      "static/chunks/pages/_app.js"
-    ],
-    "/_error": [
-      "static/chunks/webpack.js",
-      "static/chunks/main.js",
-      "static/chunks/pages/_error.js"
-    ]
+    "/_app": []
   },
   "ampFirstPages": []
 }

frontend/.next/react-loadable-manifest.json

@@ -1,20 +1 @@
-{
-  "app/sectors/page.tsx -> echarts": {
-    "id": "app/sectors/page.tsx -> echarts",
-    "files": [
-      "static/chunks/_app-pages-browser_node_modules_echarts_index_js.js"
-    ]
-  },
-  "components/capital-flow.tsx -> echarts": {
-    "id": "components/capital-flow.tsx -> echarts",
-    "files": [
-      "static/chunks/_app-pages-browser_node_modules_echarts_index_js.js"
-    ]
-  },
-  "components/kline-chart.tsx -> echarts": {
-    "id": "components/kline-chart.tsx -> echarts",
-    "files": [
-      "static/chunks/_app-pages-browser_node_modules_echarts_index_js.js"
-    ]
-  }
-}
+{}

frontend/.next/server/app-paths-manifest.json

@@ -1,8 +1,3 @@
 {
-  "/page": "app/page.js",
-  "/stock/[code]/page": "app/stock/[code]/page.js",
-  "/monitor/page": "app/monitor/page.js",
-  "/recommendations/page": "app/recommendations/page.js",
-  "/sectors/page": "app/sectors/page.js",
-  "/diagnose/page": "app/diagnose/page.js"
+  "/page": "app/page.js"
 }

frontend/.next/server/middleware-build-manifest.js

@@ -2,9 +2,7 @@ self.__BUILD_MANIFEST = {
   "polyfillFiles": [
     "static/chunks/polyfills.js"
   ],
-  "devFiles": [
-    "static/chunks/react-refresh.js"
-  ],
+  "devFiles": [],
   "ampDevFiles": [],
   "lowPriorityFiles": [],
   "rootMainFiles": [
@@ -12,16 +10,7 @@ self.__BUILD_MANIFEST = {
     "static/chunks/main-app.js"
   ],
   "pages": {
-    "/_app": [
-      "static/chunks/webpack.js",
-      "static/chunks/main.js",
-      "static/chunks/pages/_app.js"
-    ],
-    "/_error": [
-      "static/chunks/webpack.js",
-      "static/chunks/main.js",
-      "static/chunks/pages/_error.js"
-    ]
+    "/_app": []
   },
   "ampFirstPages": []
 };

frontend/.next/server/middleware-react-loadable-manifest.js

@@ -1 +1 @@
-self.__REACT_LOADABLE_MANIFEST="{\"app/sectors/page.tsx -> echarts\":{\"id\":\"app/sectors/page.tsx -> echarts\",\"files\":[\"static/chunks/_app-pages-browser_node_modules_echarts_index_js.js\"]},\"components/capital-flow.tsx -> echarts\":{\"id\":\"components/capital-flow.tsx -> echarts\",\"files\":[\"static/chunks/_app-pages-browser_node_modules_echarts_index_js.js\"]},\"components/kline-chart.tsx -> echarts\":{\"id\":\"components/kline-chart.tsx -> echarts\",\"files\":[\"static/chunks/_app-pages-browser_node_modules_echarts_index_js.js\"]}}"
+self.__REACT_LOADABLE_MANIFEST="{}"

frontend/.next/server/pages-manifest.json

@@ -1,5 +1 @@
-{
-  "/_app": "pages/_app.js",
-  "/_error": "pages/_error.js",
-  "/_document": "pages/_document.js"
-}
+{}

frontend/.next/server/server-reference-manifest.json

@@ -1,5 +1,5 @@
 {
   "node": {},
   "edge": {},
-  "encryptionKey": "ivfiGgdCRmC7fJWUxiqW3o7IY5TIF27ivPa+HF5AgdE="
+  "encryptionKey": "s33pKc3VjlvggFQFOCpPXrHp6MilpQP7rFdwHOWbtO8="
 }

frontend/.next/server/webpack-runtime.js

@@ -125,7 +125,7 @@
 /******/ 	
 /******/ 	/* webpack/runtime/getFullHash */
 /******/ 	(() => {
-/******/ 		__webpack_require__.h = () => ("53866692304f1888")
+/******/ 		__webpack_require__.h = () => ("668607dc222a6966")
 /******/ 	})();
 /******/ 	
 /******/ 	/* webpack/runtime/hasOwnProperty shorthand */

frontend/src/app/chat/page.tsx

@@ -3,6 +3,7 @@
 import { useState, useRef, useEffect } from "react";
 import { useTheme } from "next-themes";
 import { streamChat, type ChatMessage } from "@/lib/api";
+import { formatMarkdown } from "@/lib/markdown";
 
 interface DisplayMessage {
   role: "user" | "assistant";
@@ -216,18 +217,3 @@ export default function ChatPage() {
   );
 }
 
-/** Simple markdown to HTML (bold, lists, newlines) */
-function formatMarkdown(text: string): string {
-  let html = text
-    .replace(/&/g, "&")
-    .replace(/</g, "&lt;")
-    .replace(/>/g, "&gt;")
-    .replace(/\*\*(.+?)\*\*/g, "<strong>$1</strong>")
-    .replace(/^\s*[-*]\s+(.+)/gm, "<li>$1</li>")
-    .replace(/\n/g, "<br>");
-  // Wrap consecutive <li> items in <ul>
-  html = html.replace(/(<li>.*?<\/li>(<br>)?)+/g, (match) => {
-    return "<ul>" + match.replace(/<br>/g, "") + "</ul>";
-  });
-  return html;
-}

frontend/src/app/diagnose/page.tsx

@@ -2,7 +2,10 @@
 
 import { useState, useRef, useEffect, useCallback } from "react";
 import { useTheme } from "next-themes";
-import { fetchAPI, postAPI, type DiagnosisResult } from "@/lib/api";
+import { useSearchParams } from "next/navigation";
+import { fetchAPI, type DiagnosisResult } from "@/lib/api";
+import { markdownToHtml } from "@/lib/markdown";
+import { ErrorBoundary } from "@/components/error-boundary";
 
 interface SearchResult {
   ts_code: string;
@@ -12,17 +15,20 @@ interface SearchResult {
 
 export default function DiagnosePage() {
   const { theme } = useTheme();
+  const searchParams = useSearchParams();
+  const codeParam = searchParams.get("code");
   const [input, setInput] = useState("");
   const [searchResults, setSearchResults] = useState<SearchResult[]>([]);
   const [showSearch, setShowSearch] = useState(false);
   const [loading, setLoading] = useState(false);
+  const [streamingContent, setStreamingContent] = useState("");
   const [result, setResult] = useState<DiagnosisResult | null>(null);
+  const [cachedResult, setCachedResult] = useState<string | null>(null);
   const [history, setHistory] = useState<{ ts_code: string; name: string }[]>([]);
   const inputRef = useRef<HTMLInputElement>(null);
   const searchTimer = useRef<ReturnType<typeof setTimeout>>();
   const wrapperRef = useRef<HTMLDivElement>(null);
 
-  // Close search dropdown on outside click
   useEffect(() => {
     function handleClick(e: MouseEvent) {
       if (wrapperRef.current && !wrapperRef.current.contains(e.target as Node)) {
@@ -33,6 +39,12 @@ export default function DiagnosePage() {
     return () => document.removeEventListener("mousedown", handleClick);
   }, []);
 
+  useEffect(() => {
+    if (!codeParam) return;
+    setInput(codeParam);
+    runDiagnosis(codeParam);
+  }, [codeParam]);
+
   const searchStock = useCallback(async (keyword: string) => {
     if (!keyword.trim() || keyword.length < 1) {
       setSearchResults([]);
@@ -63,12 +75,10 @@ export default function DiagnosePage() {
   const runDiagnosis = async (tsCode?: string) => {
     let code = tsCode;
     if (!code) {
-      // Extract ts_code from input like "京投发展 (600683.SH)"
       const match = input.match(/\((\d{6}\.[A-Z]{2})\)/);
       if (match) {
         code = match[1];
       } else if (/^\d{6}$/.test(input.trim())) {
-        // Try common suffixes
         code = `${input.trim()}.SH`;
       } else if (/^\d{6}\.[A-Z]{2}$/.test(input.trim())) {
         code = input.trim();
@@ -78,16 +88,65 @@ export default function DiagnosePage() {
     if (!code) return;
 
     setLoading(true);
+    setStreamingContent("");
     setResult(null);
+    setCachedResult(null);
+
     try {
-      const res = await postAPI<DiagnosisResult>(`/api/stocks/${code}/diagnose`);
-      setResult(res);
-      if (res.status === "ok" && res.ts_code) {
-        const name = input.split(" (")[0] || res.ts_code;
-        setHistory((prev) => {
-          const filtered = prev.filter((h) => h.ts_code !== res.ts_code);
-          return [{ ts_code: res.ts_code!, name }, ...filtered].slice(0, 10);
-        });
+      const token = localStorage.getItem("auth_token");
+      const headers: Record<string, string> = {};
+      if (token) headers["Authorization"] = `Bearer ${token}`;
+
+      const res = await fetch(`/api/stocks/${code}/diagnose`, {
+        method: "POST",
+        headers,
+      });
+
+      if (!res.ok) throw new Error(`API error: ${res.status}`);
+      if (!res.body) throw new Error("No response body");
+
+      const reader = res.body.getReader();
+      const decoder = new TextDecoder();
+      let buffer = "";
+      let fullContent = "";
+
+      while (true) {
+        const { done, value } = await reader.read();
+        if (done) break;
+
+        buffer += decoder.decode(value, { stream: true });
+        const lines = buffer.split("\n");
+        buffer = lines.pop() || "";
+
+        for (const line of lines) {
+          if (line.startsWith("data: ")) {
+            const data = line.slice(6).trim();
+            try {
+              const parsed = JSON.parse(data);
+
+              if (parsed.cached && parsed.diagnosis) {
+                setCachedResult(parsed.diagnosis);
+                fullContent = parsed.diagnosis;
+              } else if (parsed.token) {
+                fullContent += parsed.token;
+                setStreamingContent(fullContent);
+              } else if (parsed.error) {
+                setResult({ status: "error", message: parsed.error });
+              } else if (parsed.done) {
+                if (fullContent) {
+                  setResult({ status: "ok", ts_code: parsed.ts_code || code, diagnosis: fullContent });
+                  const name = input.split(" (")[0] || parsed.ts_code || code;
+                  setHistory((prev) => {
+                    const filtered = prev.filter((h) => h.ts_code !== (parsed.ts_code || code));
+                    return [{ ts_code: parsed.ts_code || code, name }, ...filtered].slice(0, 10);
+                  });
+                }
+              }
+            } catch {
+              // ignore malformed lines
+            }
+          }
+        }
       }
     } catch (e) {
       setResult({ status: "error", message: "诊断失败，请检查股票代码后重试" });
@@ -103,7 +162,10 @@ export default function DiagnosePage() {
     }
   };
 
+  const displayContent = cachedResult || result?.diagnosis || streamingContent;
+
   return (
+    <ErrorBoundary>
     <div className="max-w-3xl mx-auto px-4 md:px-8 pt-6 pb-20 md:pb-10">
       {/* Header */}
       <div className="mb-6 animate-fade-in-up">
@@ -178,7 +240,7 @@ export default function DiagnosePage() {
       </div>
 
       {/* History */}
-      {history.length > 0 && !result && (
+      {history.length > 0 && !displayContent && (
         <div className="mb-6 animate-fade-in-up">
           <div className="text-[10px] text-text-muted/50 mb-2 uppercase tracking-wider">最近诊断</div>
           <div className="flex flex-wrap gap-2">
@@ -199,8 +261,8 @@ export default function DiagnosePage() {
         </div>
       )}
 
-      {/* Loading State */}
-      {loading && (
+      {/* Streaming / Loading State */}
+      {loading && !displayContent && (
         <div className="glass-card-static p-10 text-center animate-fade-in-up">
           <div className="w-8 h-8 border-2 border-amber-400/30 border-t-amber-400 rounded-full animate-spin mx-auto mb-3" />
           <div className="text-sm text-text-secondary mb-1">正在分析中...</div>
@@ -208,45 +270,59 @@ export default function DiagnosePage() {
         </div>
       )}
 
-      {/* Result */}
-      {result && !loading && (
+      {/* Streaming content */}
+      {loading && displayContent && (
+        <div className="glass-card-static p-5 animate-fade-in-up">
+          <div className="flex items-center gap-2 mb-3">
+            <span className="w-3 h-3 border border-amber-400/40 border-t-amber-400 rounded-full animate-spin" />
+            <span className="text-xs text-text-muted">AI 正在分析...</span>
+          </div>
+          <div className="text-sm text-text-secondary leading-relaxed whitespace-pre-line">
+            {displayContent}
+          </div>
+        </div>
+      )}
+
+      {/* Final Result */}
+      {!loading && displayContent && (
         <div className="animate-fade-in-up">
-          {result.status === "ok" && result.diagnosis ? (
-            <div className="glass-card-static p-6">
-              <div className="flex items-center justify-between mb-4">
-                <div className="flex items-center gap-2">
-                  <span className="text-sm font-semibold text-text-primary">{result.ts_code}</span>
-                  <span className="text-xs px-2 py-0.5 rounded-md bg-emerald-500/10 text-emerald-400 border border-emerald-500/15">
-                    分析完成
-                  </span>
-                </div>
-                <button
-                  onClick={() => runDiagnosis(result.ts_code)}
-                  className="text-xs text-text-muted hover:text-amber-400 transition-colors flex items-center gap-1"
-                >
-                  <svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round">
-                    <path d="M1 4v6h6" />
-                    <path d="M3.51 15a9 9 0 1 0 2.13-9.36L1 10" />
-                  </svg>
-                  重新诊断
-                </button>
+          <div className="glass-card-static p-5">
+            <div className="flex items-center justify-between mb-4">
+              <div className="flex items-center gap-2">
+                <span className="text-sm font-semibold text-text-primary">{result?.ts_code || codeParam}</span>
+                <span className="text-[10px] px-1.5 py-0.5 rounded-md bg-emerald-500/10 text-emerald-400 border border-emerald-500/15">
+                  {cachedResult ? "缓存" : "分析完成"}
+                </span>
               </div>
-              <div
-                className={`text-sm text-text-secondary leading-relaxed prose prose-sm max-w-none [&_h2]:text-sm [&_h2]:font-semibold [&_h2]:text-amber-400 [&_h2]:mt-5 [&_h2]:mb-2 [&_h2]:first:mt-0 [&_h3]:text-xs [&_h3]:font-semibold [&_h3]:text-text-primary [&_h3]:mt-3 [&_h3]:mb-1.5 [&_p]:text-text-secondary [&_p]:mb-2.5 [&_p]:leading-relaxed [&_ul]:text-text-secondary [&_ul]:mb-2.5 [&_li]:mb-1 [&_strong]:text-text-primary ${theme !== "light" ? "prose-invert" : ""}`}
-                dangerouslySetInnerHTML={{ __html: markdownToHtml(result.diagnosis) }}
-              />
+              <button
+                onClick={() => runDiagnosis(result?.ts_code || codeParam || undefined)}
+                className="text-xs text-text-muted hover:text-amber-400 transition-colors flex items-center gap-1"
+              >
+                <svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round">
+                  <path d="M1 4v6h6" />
+                  <path d="M3.51 15a9 9 0 1 0 2.13-9.36L1 10" />
+                </svg>
+                重新诊断
+              </button>
             </div>
-          ) : (
-            <div className="glass-card-static p-8 text-center">
-              <div className="text-sm text-red-400 mb-2">诊断失败</div>
-              <div className="text-xs text-text-muted">{result.message || "未知错误"}</div>
-            </div>
-          )}
+            <div
+              className={`text-sm text-text-secondary leading-relaxed prose prose-sm max-w-none [&_h2]:text-sm [&_h2]:font-semibold [&_h2]:text-amber-400 [&_h2]:mt-5 [&_h2]:mb-2 [&_h2]:first:mt-0 [&_h3]:text-xs [&_h3]:font-semibold [&_h3]:text-text-primary [&_h3]:mt-3 [&_h3]:mb-1.5 [&_p]:text-text-secondary [&_p]:mb-2.5 [&_p]:leading-relaxed [&_ul]:text-text-secondary [&_ul]:mb-2.5 [&_li]:mb-1 [&_strong]:text-text-primary ${theme !== "light" ? "prose-invert" : ""}`}
+              dangerouslySetInnerHTML={{ __html: markdownToHtml(displayContent) }}
+            />
+          </div>
+        </div>
+      )}
+
+      {/* Error */}
+      {result?.status === "error" && !loading && !displayContent && (
+        <div className="glass-card-static p-8 text-center animate-fade-in-up">
+          <div className="text-sm text-red-400 mb-2">诊断失败</div>
+          <div className="text-xs text-text-muted">{result.message || "未知错误"}</div>
         </div>
       )}
 
       {/* Empty state */}
-      {!result && !loading && history.length === 0 && (
+      {!result && !loading && !displayContent && history.length === 0 && (
         <div className="glass-card-static p-10 text-center animate-fade-in-up">
           <div className="w-12 h-12 rounded-2xl bg-surface-2 flex items-center justify-center mx-auto mb-4">
             <svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.5" className="text-text-muted/40">
@@ -275,25 +351,6 @@ export default function DiagnosePage() {
         </div>
       )}
     </div>
+    </ErrorBoundary>
   );
-}
-
-function markdownToHtml(md: string): string {
-  return md
-    .replace(/&/g, "&amp;")
-    .replace(/</g, "&lt;")
-    .replace(/>/g, "&gt;")
-    .replace(/^## (.+)$/gm, "<h2>$1</h2>")
-    .replace(/^### (.+)$/gm, "<h3>$1</h3>")
-    .replace(/\*\*(.+?)\*\*/g, "<strong>$1</strong>")
-    .replace(/^- (.+)$/gm, "<li>$1</li>")
-    .replace(/(<li>.*<\/li>\n?)+/g, (m) => `<ul>${m}</ul>`)
-    .replace(/\n{2,}/g, "</p><p>")
-    .replace(/^(?!<[hulo])/gm, "<p>")
-    .replace(/(?<![>])$/gm, "</p>")
-    .replace(/<p><\/p>/g, "")
-    .replace(/<p>(<h[23]>)/g, "$1")
-    .replace(/(<\/h[23]>)<\/p>/g, "$1")
-    .replace(/<p>(<ul>)/g, "$1")
-    .replace(/(<\/ul>)<\/p>/g, "$1");
-}
+}

frontend/src/app/monitor/page.tsx

@@ -3,6 +3,7 @@
 import { useEffect, useState, useCallback } from "react";
 import { fetchAPI } from "@/lib/api";
 import type { LimitsData, UnusualStock } from "@/lib/api";
+import { ErrorBoundary } from "@/components/error-boundary";
 
 export default function MonitorPage() {
   const [tab, setTab] = useState<"limits" | "unusual">("limits");
@@ -33,7 +34,25 @@ export default function MonitorPage() {
     loadData();
   }, [loadData]);
 
+  const isInTradingHours = useCallback(() => {
+    const now = new Date();
+    const hour = now.getHours();
+    const minute = now.getMinutes();
+    const day = now.getDay(); // 0=Sunday
+    if (day === 0 || day === 6) return false;
+    if ((hour === 9 && minute >= 30) || hour === 10 || (hour === 11 && minute <= 30)) return true;
+    if (hour === 13 || hour === 14 || (hour === 15 && minute === 0)) return true;
+    return false;
+  }, []);
+
+  useEffect(() => {
+    if (!isInTradingHours()) return;
+    const interval = setInterval(loadData, 30000);
+    return () => clearInterval(interval);
+  }, [loadData, isInTradingHours]);
+
   return (
+    <ErrorBoundary>
     <div className="max-w-7xl mx-auto px-4 md:px-8 pt-6 pb-20 md:pb-10">
       {/* Header */}
       <div className="flex items-center justify-between mb-5 animate-fade-in-up">
@@ -82,6 +101,7 @@ export default function MonitorPage() {
         <UnusualView stocks={unusualStocks} />
       )}
     </div>
+    </ErrorBoundary>
   );
 }
 

frontend/src/app/page.tsx

@@ -9,6 +9,7 @@ import SectorHeatmap from "@/components/sector-heatmap";
 import { useWebSocket } from "@/hooks/use-websocket";
 import { useAuth } from "@/hooks/use-auth";
 import { ThemeToggle } from "@/components/theme-toggle";
+import { markdownToHtml } from "@/lib/markdown";
 
 interface ScanStatus {
   is_trading: boolean;
@@ -61,7 +62,8 @@ export default function DashboardPage() {
   useWebSocket(
     useCallback(() => {
       loadData();
-    }, [loadData])
+    }, [loadData]),
+    ["llm_analysis_ready", "sector_scan_ready", "scan_complete"]
   );
 
   const handleRefresh = async () => {
@@ -253,22 +255,3 @@ export default function DashboardPage() {
   );
 }
 
-function markdownToHtml(md: string): string {
-  return md
-    .replace(/&/g, "&")
-    .replace(/</g, "&lt;")
-    .replace(/>/g, "&gt;")
-    .replace(/^## (.+)$/gm, "<h2>$1</h2>")
-    .replace(/^### (.+)$/gm, "<h3>$1</h3>")
-    .replace(/\*\*(.+?)\*\*/g, "<strong>$1</strong>")
-    .replace(/^- (.+)$/gm, "<li>$1</li>")
-    .replace(/(<li>.*<\/li>\n?)+/g, (m) => `<ul>${m}</ul>`)
-    .replace(/\n{2,}/g, "</p><p>")
-    .replace(/^(?!<[hulo])/gm, "<p>")
-    .replace(/(?<![>])$/gm, "</p>")
-    .replace(/<p><\/p>/g, "")
-    .replace(/<p>(<h[23]>)/g, "$1")
-    .replace(/(<\/h[23]>)<\/p>/g, "$1")
-    .replace(/<p>(<ul>)/g, "$1")
-    .replace(/(<\/ul>)<\/p>/g, "$1");
-}

frontend/src/app/recommendations/page.tsx

@@ -103,7 +103,9 @@ export default function RecommendationsPage() {
     return recs.filter((r) => r.level === filter);
   };
 
-  // 总数统计
+  // 今日推荐数
+  const todayCount = dayGroups.length > 0 ? applyFilter(dayGroups[0].recommendations).length : 0;
+  // 累计总数
   const totalCount = dayGroups.reduce((sum, g) => sum + applyFilter(g.recommendations).length, 0);
 
   return (
@@ -113,7 +115,8 @@ export default function RecommendationsPage() {
         <div>
           <h1 className="text-base sm:text-lg font-bold tracking-tight">推荐列表</h1>
           <p className="text-xs text-text-muted mt-0.5">
-            共 <span className="font-mono tabular-nums">{totalCount}</span> 只 ·
+            今日 <span className="font-mono tabular-nums text-amber-400">{todayCount}</span> 只 ·
+            <span className="font-mono tabular-nums ml-1">{totalCount}</span> 只累计 ·
             <span className="font-mono tabular-nums ml-1">{dayGroups.length}</span> 天记录
           </p>
         </div>

frontend/src/app/sectors/page.tsx

@@ -5,6 +5,7 @@ import { fetchAPI } from "@/lib/api";
 import type { SectorData, LeadingStock, SectorRotationData } from "@/lib/api";
 import { formatNumber } from "@/lib/utils";
 import { useWebSocket } from "@/hooks/use-websocket";
+import { ErrorBoundary } from "@/components/error-boundary";
 
 function getStageInfo(stage: string) {
   switch (stage) {
@@ -224,6 +225,7 @@ export default function SectorsPage() {
   }, [showRotation, rotationData, loadRotation]);
 
   return (
+    <ErrorBoundary>
     <div className="max-w-7xl mx-auto px-4 md:px-8 pt-6 pb-20 md:pb-10">
       <div className="flex items-center justify-between mb-5 animate-fade-in-up">
         <div>
@@ -272,6 +274,7 @@ export default function SectorsPage() {
         </div>
       )}
     </div>
+    </ErrorBoundary>
   );
 }
 

frontend/src/app/stock/[code]/page.tsx

@@ -3,14 +3,17 @@
 import { useEffect, useState } from "react";
 import { useParams } from "next/navigation";
 import { fetchAPI } from "@/lib/api";
+import type { RecommendationData, DayGroup } from "@/lib/api";
 import { getScoreColor } from "@/lib/utils";
 import KlineChart from "@/components/kline-chart";
 import CapitalFlowChart from "@/components/capital-flow";
+import { ErrorBoundary } from "@/components/error-boundary";
 
 interface StockSignals {
   ts_code: string;
   name: string;
   score: number;
+  trend_score: number;
   signal_count: number;
   ma_bullish: boolean;
   volume_breakout: boolean;
@@ -28,6 +31,14 @@ interface StockSignals {
   position_score: number;
 }
 
+interface RecScore {
+  supply_demand_score: number;
+  price_action_score: number;
+  technical_score: number;
+  position_score: number;
+  score: number;
+}
+
 interface QuoteData {
   ts_code: string;
   name: string;
@@ -66,6 +77,7 @@ export default function StockDetailPage() {
 
   const [quote, setQuote] = useState<QuoteData | null>(null);
   const [signals, setSignals] = useState<StockSignals | null>(null);
+  const [recScore, setRecScore] = useState<RecScore | null>(null);
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   const [kline, setKline] = useState<any[]>([]);
   const [capitalFlow, setCapitalFlow] = useState<FlowRecord[]>([]);
@@ -83,11 +95,28 @@ export default function StockDetailPage() {
       setKline(k);
       setCapitalFlow(c as FlowRecord[]);
     });
+    // 尝试从推荐历史中获取该股票的评分
+    fetchAPI<DayGroup[]>(`/api/recommendations/history?days=14`).then((history) => {
+      for (const group of history) {
+        const rec = group.recommendations?.find((r) => r.ts_code === code);
+        if (rec && rec.supply_demand_score) {
+          setRecScore({
+            supply_demand_score: rec.supply_demand_score,
+            price_action_score: rec.price_action_score ?? 0,
+            technical_score: rec.technical_score,
+            position_score: rec.position_score ?? 50,
+            score: rec.score,
+          });
+          break;
+        }
+      }
+    }).catch(() => null);
   }, [code]);
 
   const latestFlow = capitalFlow.length > 0 ? capitalFlow[capitalFlow.length - 1] : null;
 
   return (
+    <ErrorBoundary>
     <div className="max-w-6xl mx-auto px-4 md:px-8 pt-6 pb-20 md:pb-10 space-y-4">
       {/* Back */}
       <a
@@ -116,8 +145,18 @@ export default function StockDetailPage() {
             <div className="flex items-center justify-between mb-3">
               <div className="flex items-center gap-3">
                 <span className="text-lg font-bold tracking-tight">{quote.name}</span>
-                <span className="text-xs text-text-muted font-mono tabular-nums">{quote.ts_code}</span>
+                <span className="text-sm text-text-muted font-mono tabular-nums">{quote.ts_code}</span>
               </div>
+              <a
+                href={`/diagnose?code=${code}`}
+                className="inline-flex items-center gap-1.5 text-xs px-3 py-1.5 bg-gradient-to-r from-amber-500/20 to-amber-600/15 text-amber-400 rounded-lg hover:from-amber-500/30 hover:to-amber-600/25 transition-all border border-amber-500/10"
+              >
+                <svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round">
+                  <path d="M9 11l3 3L22 4" />
+                  <path d="M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11" />
+                </svg>
+                AI 诊断
+              </a>
             </div>
             <div className="flex items-baseline gap-3">
               <span
@@ -140,14 +179,14 @@ export default function StockDetailPage() {
                 {quote.pct_chg.toFixed(2)}%
               </span>
               {quote.pre_close && (
-                <span className="text-xs text-text-muted font-mono tabular-nums">
+                <span className="text-sm text-text-muted font-mono tabular-nums">
                   昨收 {quote.pre_close.toFixed(2)}
                 </span>
               )}
             </div>
 
             {/* OHLC row */}
-            <div className="grid grid-cols-4 gap-2 mt-4">
+            <div className="grid grid-cols-4 gap-3 mt-4">
               <MiniStat
                 label="开盘"
                 value={quote.open && quote.open > 0 ? quote.open.toFixed(2) : "-"}
@@ -176,7 +215,7 @@ export default function StockDetailPage() {
             </div>
 
             {/* Valuation row */}
-            <div className="grid grid-cols-4 gap-2 mt-2">
+            <div className="grid grid-cols-4 gap-3 mt-3">
               <MiniStat label="换手率" value={`${quote.turnover_rate?.toFixed(2)}%`} />
               <MiniStat label="市盈率" value={quote.pe?.toFixed(1) ?? "-"} />
               <MiniStat label="市净率" value={quote.pb?.toFixed(2) ?? "-"} />
@@ -188,7 +227,7 @@ export default function StockDetailPage() {
             </div>
 
             {/* Market cap row */}
-            <div className="grid grid-cols-4 gap-2 mt-2">
+            <div className="grid grid-cols-4 gap-3 mt-3">
               <MiniStat
                 label="总市值"
                 value={quote.total_mv ? `${formatBigNum(quote.total_mv)}亿` : "-"}
@@ -217,40 +256,31 @@ export default function StockDetailPage() {
         {/* Position Safety Card */}
         {signals && (
           <div className="glass-card-static p-5">
-            <h2 className="text-xs font-semibold text-text-muted uppercase tracking-wider mb-4">
-              仓位安全评估
-            </h2>
-            <div className="flex items-center gap-6">
-              {/* Score ring */}
-              <div className="relative w-24 h-24 flex-shrink-0">
-                <svg viewBox="0 0 100 100" className="w-full h-full -rotate-90">
-                  <circle cx="50" cy="50" r="42" fill="none" stroke="var(--surface-2)" strokeWidth="8" />
-                  <circle
-                    cx="50"
-                    cy="50"
-                    r="42"
-                    fill="none"
-                    stroke={getPositionColor(signals.position_score)}
-                    strokeWidth="8"
-                    strokeLinecap="round"
-                    strokeDasharray={`${(signals.position_score / 100) * 264} 264`}
-                    className="transition-all duration-700"
-                  />
-                </svg>
-                <div className="absolute inset-0 flex flex-col items-center justify-center">
-                  <span className={`text-xl font-bold font-mono tabular-nums ${getPositionColor(signals.position_score)}`}>
-                    {Math.round(signals.position_score)}
-                  </span>
-                  <span className="text-[10px] text-text-muted">安全分</span>
-                </div>
-              </div>
-              {/* Metrics */}
-              <div className="flex-1 space-y-3 min-w-0">
-                <PositionBar label="5日涨幅" value={signals.rally_pct_5d} />
-                <PositionBar label="10日涨幅" value={signals.rally_pct_10d} />
-                <PositionBar label="距高点" value={signals.distance_from_high} invert />
+            <div className="flex items-center gap-2 mb-4">
+              <span className="w-1 h-4 rounded-full" style={{ backgroundColor: getPositionColor(signals.position_score) }} />
+              <h2 className="text-sm font-bold tracking-tight">
+                仓位安全评估
+              </h2>
+              <span className={`text-lg font-bold font-mono tabular-nums ml-auto`} style={{ color: getPositionColor(signals.position_score) }}>
+                {Math.round(signals.position_score)}
+                <span className="text-[10px] text-text-muted ml-0.5">安全分</span>
+              </span>
+            </div>
+            {/* 位置安全评分条 */}
+            <div className="mb-4">
+              <div className="h-2.5 bg-surface-3 rounded-full overflow-hidden">
+                <div
+                  className="h-full rounded-full transition-all duration-700 ease-out"
+                  style={{ width: `${Math.min(signals.position_score, 100)}%`, backgroundColor: getPositionColor(signals.position_score) }}
+                />
               </div>
             </div>
+            {/* Metrics */}
+            <div className="grid grid-cols-3 gap-3">
+              <PositionBar label="5日涨幅" value={signals.rally_pct_5d} />
+              <PositionBar label="10日涨幅" value={signals.rally_pct_10d} />
+              <PositionBar label="距高点" value={signals.distance_from_high} invert />
+            </div>
           </div>
         )}
 
@@ -263,45 +293,73 @@ export default function StockDetailPage() {
       {/* Technical signals */}
       {signals && (
         <div className="glass-card-static p-5 animate-fade-in-up delay-75">
-          <div className="flex items-center justify-between mb-4">
-            <h2 className="text-xs font-semibold text-text-muted uppercase tracking-wider">
-              技术面信号
+          <div className="flex items-center justify-between mb-5">
+            <h2 className="text-sm font-bold tracking-tight">
+              技术面分析
             </h2>
-            <div className={`text-lg font-bold font-mono tabular-nums ${getScoreColor(signals.score)}`}>
-              {signals.score}
-              <span className="text-xs text-text-muted ml-0.5">分</span>
+            {recScore && (
+              <div className={`text-2xl font-bold font-mono tabular-nums ${getScoreColor(recScore.score)}`}>
+                {recScore.score}
+                <span className="text-xs text-text-muted ml-1">综合分</span>
+              </div>
+            )}
+          </div>
+
+          {/* ── Module 1: 核心评分维度 ── */}
+          <div className="mb-5 pb-5 border-b border-border-subtle">
+            <div className="flex items-center gap-2 mb-3">
+              <span className="w-1 h-4 rounded-full bg-amber-500/70" />
+              <span className="text-xs font-semibold text-text-secondary">核心评分维度</span>
+              {recScore && (
+                <span className="text-[10px] text-text-muted/40 ml-1">综合 = 供需×50% + 形态×40% + 趋势×10%</span>
+              )}
+            </div>
+            {recScore ? (
+              <div className="grid grid-cols-4 gap-3">
+                <DimensionScore label="供需关系" sublabel="50%权重" value={recScore.supply_demand_score} />
+                <DimensionScore label="价格形态" sublabel="40%权重" value={recScore.price_action_score} />
+                <DimensionScore label="趋势方向" sublabel="10%权重" value={recScore.technical_score} />
+                <DimensionScore label="位置安全" sublabel="防追高" value={recScore.position_score} />
+              </div>
+            ) : (
+              <div className="grid grid-cols-2 gap-4">
+                <DimensionScore label="趋势评分" sublabel="均线排列+结构+MA20方向" value={signals.trend_score} />
+                <DimensionScore label="信号计数" sublabel="触发即加分，仅供参考" value={(signals.signal_count / 7) * 100} displayValue={`${signals.signal_count}/7`} />
+              </div>
+            )}
+          </div>
+
+          {/* ── Module 2: 辅助信号 ── */}
+          <div className="mb-5 pb-5 border-b border-border-subtle">
+            <div className="flex items-center gap-2 mb-3">
+              <span className="w-1 h-4 rounded-full bg-cyan-500/70" />
+              <span className="text-xs font-semibold text-text-secondary">辅助信号</span>
+              <span className="text-[10px] text-text-muted/30">·触发即加分，不参与主评分</span>
+              <span className={`text-xs font-mono tabular-nums ml-auto ${signals.signal_count >= 4 ? "text-amber-400" : signals.signal_count >= 2 ? "text-cyan-400" : "text-text-muted"}`}>
+                {signals.signal_count}/7
+              </span>
+            </div>
+            <div className="grid grid-cols-4 gap-2">
+              <SignalChip label="均线多头" active={signals.ma_bullish} points={15} />
+              <SignalChip label="放量突破" active={signals.volume_breakout} points={20} />
+              <SignalChip label="MACD金叉" active={signals.macd_golden} points={15} />
+              <SignalChip label="RSI健康" active={signals.rsi_healthy} points={10} />
+              <SignalChip label="缩量回踩" active={signals.pullback_support} points={15} />
+              <SignalChip label="放量长阳" active={signals.big_yang} points={15} />
+              <SignalChip label="布林支撑" active={signals.boll_support} points={10} />
             </div>
           </div>
 
-          <div className="grid grid-cols-2 md:grid-cols-4 gap-2">
-            <SignalItem label="均线多头" active={signals.ma_bullish} points={15} />
-            <SignalItem label="放量突破" active={signals.volume_breakout} points={20} />
-            <SignalItem label="MACD金叉" active={signals.macd_golden} points={15} />
-            <SignalItem label="RSI健康" active={signals.rsi_healthy} points={10} />
-            <SignalItem label="缩量回踩" active={signals.pullback_support} points={15} />
-            <SignalItem label="放量长阳" active={signals.big_yang} points={15} />
-            <SignalItem label="布林支撑" active={signals.boll_support} points={10} />
-          </div>
-
-          {/* Price levels */}
-          <div className="flex justify-between mt-4 pt-4 border-t border-border-subtle text-xs">
-            <div>
-              <span className="text-text-muted">支撑位 </span>
-              <span className="text-orange-400 font-mono tabular-nums">
-                {signals.support_price?.toFixed(2) ?? "-"}
-              </span>
+          {/* ── Module 3: 关键价位 ── */}
+          <div>
+            <div className="flex items-center gap-2 mb-3">
+              <span className="w-1 h-4 rounded-full bg-emerald-500/70" />
+              <span className="text-xs font-semibold text-text-secondary">关键价位</span>
             </div>
-            <div>
-              <span className="text-text-muted">压力位 </span>
-              <span className="text-red-400 font-mono tabular-nums">
-                {signals.resist_price?.toFixed(2) ?? "-"}
-              </span>
-            </div>
-            <div>
-              <span className="text-text-muted">止损位 </span>
-              <span className="text-emerald-400 font-mono tabular-nums">
-                {signals.stop_loss_price?.toFixed(2) ?? "-"}
-              </span>
+            <div className="grid grid-cols-3 gap-3">
+              <PriceLevel label="支撑位" value={signals.support_price} color="text-orange-400" />
+              <PriceLevel label="压力位" value={signals.resist_price} color="text-red-400" />
+              <PriceLevel label="止损位" value={signals.stop_loss_price} color="text-emerald-400" />
             </div>
           </div>
         </div>
@@ -313,6 +371,7 @@ export default function StockDetailPage() {
         {capitalFlow.length > 0 && <CapitalFlowChart data={capitalFlow} />}
       </div>
     </div>
+    </ErrorBoundary>
   );
 }
 
@@ -330,9 +389,9 @@ function MiniStat({
   highlight?: boolean;
 }) {
   return (
-    <div className={`rounded-lg px-2.5 py-1.5 border ${highlight ? "border-amber-500/20 bg-amber-500/[0.04]" : "border-border-subtle bg-surface-1"}`}>
-      <div className="text-[10px] text-text-muted leading-tight">{label}</div>
-      <div className={`text-xs font-mono tabular-nums ${color ?? ""}`}>
+    <div className={`rounded-xl px-3 py-2.5 border ${highlight ? "border-amber-500/20 bg-amber-500/[0.04]" : "border-border-subtle bg-surface-1"}`}>
+      <div className="text-[11px] text-text-muted leading-tight">{label}</div>
+      <div className={`text-sm font-bold font-mono tabular-nums mt-0.5 ${color ?? ""}`}>
         {value}
       </div>
     </div>
@@ -345,33 +404,19 @@ function PositionBar({ label, value, invert = false }: { label: string; value: n
   const pct = Math.min(absVal / maxDisplay, 1) * 100;
   const isPositive = value > 0;
   const showWarning = invert ? value < -20 : value > 20;
+  const barColor = showWarning ? "bg-amber-400" : isPositive ? "bg-red-400" : "bg-emerald-400";
+  const textColor = showWarning ? "text-amber-400" : isPositive ? "text-red-400" : "text-emerald-400";
 
   return (
-    <div>
-      <div className="flex items-center justify-between text-xs mb-1">
-        <span className="text-text-muted">{label}</span>
-        <span
-          className={`font-mono tabular-nums ${
-            showWarning
-              ? "text-amber-400"
-              : isPositive
-              ? "text-red-400"
-              : "text-emerald-400"
-          }`}
-        >
-          {isPositive ? "+" : ""}
-          {value.toFixed(1)}%
-        </span>
+    <div className="bg-surface-1 rounded-xl px-3 py-2.5 border border-border-subtle">
+      <div className="text-[10px] text-text-muted leading-tight">{label}</div>
+      <div className={`text-sm font-bold font-mono tabular-nums ${textColor}`}>
+        {isPositive ? "+" : ""}
+        {value.toFixed(1)}%
       </div>
-      <div className="h-1.5 rounded-full bg-surface-2 overflow-hidden">
+      <div className="h-1.5 rounded-full bg-surface-3 overflow-hidden mt-1.5">
         <div
-          className={`h-full rounded-full transition-all duration-500 ${
-            showWarning
-              ? "bg-amber-400"
-              : isPositive
-              ? "bg-red-400"
-              : "bg-emerald-400"
-          }`}
+          className={`h-full rounded-full transition-all duration-500 ${barColor}`}
           style={{ width: `${pct}%` }}
         />
       </div>
@@ -384,28 +429,28 @@ function CapitalFlowBreakdown({ flow }: { flow: FlowRecord }) {
     ...[flow.elg_net, flow.lg_net, flow.md_net, flow.sm_net].map(Math.abs),
     1
   );
+  const isMainInflow = flow.main_net_inflow > 0;
   return (
     <div className="glass-card-static p-5">
-      <h2 className="text-xs font-semibold text-text-muted uppercase tracking-wider mb-4">
-        今日资金流向
-      </h2>
+      <div className="flex items-center gap-2 mb-4">
+        <span className={`w-1 h-4 rounded-full ${isMainInflow ? "bg-red-500/70" : "bg-emerald-500/70"}`} />
+        <h2 className="text-sm font-bold tracking-tight">
+          今日资金流向
+        </h2>
+        <span
+          className={`text-lg font-bold font-mono tabular-nums ml-auto ${isMainInflow ? "text-red-400" : "text-emerald-400"}`}
+        >
+          {isMainInflow ? "+" : ""}
+          {formatFlowAmount(flow.main_net_inflow)}
+          <span className="text-[10px] text-text-muted ml-0.5">主力净流入</span>
+        </span>
+      </div>
       <div className="space-y-2.5">
         <FlowBar label="特大单" value={flow.elg_net} max={maxDisplay} />
         <FlowBar label="大单" value={flow.lg_net} max={maxDisplay} />
         <FlowBar label="中单" value={flow.md_net} max={maxDisplay} />
         <FlowBar label="小单" value={flow.sm_net} max={maxDisplay} />
       </div>
-      <div className="mt-3 pt-3 border-t border-border-subtle flex items-center justify-between text-xs">
-        <span className="text-text-muted">主力净流入</span>
-        <span
-          className={`font-mono tabular-nums font-semibold ${
-            flow.main_net_inflow > 0 ? "text-red-400" : "text-emerald-400"
-          }`}
-        >
-          {flow.main_net_inflow > 0 ? "+" : ""}
-          {formatFlowAmount(flow.main_net_inflow)}
-        </span>
-      </div>
     </div>
   );
 }
@@ -438,19 +483,57 @@ function FlowBar({ label, value, max }: { label: string; value: number; max: num
   );
 }
 
-function SignalItem({ label, active, points }: { label: string; active: boolean; points: number }) {
+function SignalChip({ label, active, points }: { label: string; active: boolean; points: number }) {
   return (
     <div
-      className={`flex items-center justify-between px-3 py-2 rounded-xl text-xs transition-all duration-200 ${
+      className={`flex flex-col items-center py-2.5 rounded-xl transition-all duration-200 ${
         active
-          ? "bg-red-500/[0.08] text-red-400 border border-red-500/10"
-          : "bg-surface-1 text-text-muted border border-transparent"
+          ? "bg-red-500/[0.08] border border-red-500/15"
+          : "bg-surface-1 border border-transparent"
       }`}
     >
-      <span className="font-medium">{label}</span>
-      <span className={`font-mono tabular-nums ${active ? "font-semibold" : ""}`}>
-        {active ? `+${points}` : "0"}
+      <span className={`text-[11px] font-medium ${active ? "text-red-400" : "text-text-muted/60"}`}>
+        {label}
       </span>
+      <span className={`text-[11px] font-mono tabular-nums mt-0.5 ${active ? "text-amber-400 font-semibold" : "text-text-muted/30"}`}>
+        {active ? `+${points}` : "—"}
+      </span>
+    </div>
+  );
+}
+
+function DimensionScore({ label, sublabel, value, displayValue }: { label: string; sublabel: string; value: number; displayValue?: string }) {
+  const width = Math.min(value, 100);
+  const gradientClass = value >= 70 ? "score-bar-gradient-high" : value >= 50 ? "score-bar-gradient-mid" : "score-bar-gradient-low";
+  const scoreColor = value >= 70 ? "text-amber-400" : value >= 50 ? "text-cyan-400" : "text-text-muted";
+  return (
+    <div>
+      <div className="flex items-baseline justify-between mb-1.5">
+        <div>
+          <span className={`text-xs font-semibold ${scoreColor}`}>{label}</span>
+          <span className="text-[10px] text-text-muted/40 ml-1">{sublabel}</span>
+        </div>
+        <span className={`text-sm font-bold font-mono tabular-nums ${scoreColor}`}>
+          {displayValue ?? value.toFixed(0)}
+        </span>
+      </div>
+      <div className="h-2 bg-surface-3 rounded-full overflow-hidden">
+        <div
+          className={`h-full rounded-full transition-all duration-700 ease-out ${gradientClass}`}
+          style={{ width: `${width}%` }}
+        />
+      </div>
+    </div>
+  );
+}
+
+function PriceLevel({ label, value, color }: { label: string; value: number | null; color: string }) {
+  return (
+    <div className="bg-surface-1 rounded-xl px-3 py-2.5 border border-border-subtle">
+      <div className="text-[10px] text-text-muted leading-tight">{label}</div>
+      <div className={`text-sm font-bold font-mono tabular-nums ${color}`}>
+        {value?.toFixed(2) ?? "—"}
+      </div>
     </div>
   );
 }

frontend/src/components/error-boundary.tsx

@@ -0,0 +1,37 @@
+"use client";
+
+import { Component, ReactNode } from "react";
+
+interface Props {
+  children: ReactNode;
+  fallback?: ReactNode;
+}
+
+interface State {
+  hasError: boolean;
+}
+
+export class ErrorBoundary extends Component<Props, State> {
+  state: State = { hasError: false };
+
+  static getDerivedStateFromError(): State {
+    return { hasError: true };
+  }
+
+  render() {
+    if (this.state.hasError) {
+      return this.props.fallback || (
+        <div className="glass-card-static p-8 text-center">
+          <div className="text-sm text-red-400 mb-2">页面加载出错</div>
+          <button
+            onClick={() => this.setState({ hasError: false })}
+            className="text-xs px-3 py-1.5 bg-surface-2 rounded-lg text-text-secondary hover:text-text-primary transition-all"
+          >
+            重试
+          </button>
+        </div>
+      );
+    }
+    return this.props.children;
+  }
+}

frontend/src/components/kline-chart.tsx

@@ -25,6 +25,7 @@ export default function KlineChart({ data }: { data: KlineData[] }) {
     if (!chartRef.current || !data.length) return;
 
     let chart: ReturnType<typeof import("echarts")["init"]> | null = null;
+    let resizeHandler: (() => void) | null = null;
 
     import("echarts").then((ec) => {
       if (!chartRef.current) return;
@@ -141,12 +142,14 @@ export default function KlineChart({ data }: { data: KlineData[] }) {
         ],
       });
 
-      const handleResize = () => chart?.resize();
-      window.addEventListener("resize", handleResize);
-      return () => window.removeEventListener("resize", handleResize);
+      resizeHandler = () => chart?.resize();
+      window.addEventListener("resize", resizeHandler);
     });
 
     return () => {
+      if (resizeHandler) {
+        window.removeEventListener("resize", resizeHandler);
+      }
       chart?.dispose();
     };
   }, [data, theme]);

frontend/src/components/nav.tsx

@@ -53,6 +53,14 @@ function DiagnoseIcon() {
   );
 }
 
+function ChatIcon() {
+  return (
+    <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round">
+      <path d="M21 11.5a8.38 8.38 0 01-.9 3.8 8.5 8.5 0 01-7.6 4.7 8.38 8.38 0 01-3.8-.9L3 21l1.9-5.7a8.38 8.38 0 01-.9-3.8 8.5 8.5 0 014.7-7.6 8.38 8.38 0 013.8-.9h.5a8.48 8.48 0 018 8v.5z" />
+    </svg>
+  );
+}
+
 function UsersIcon() {
   return (
     <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round">
@@ -93,6 +101,7 @@ export function SidebarNav() {
       <SideNavItem href="/monitor" icon={<MonitorIcon />} label="监控" />
       <SideNavItem href="/sectors" icon={<FireIcon />} label="板块分析" />
       <SideNavItem href="/diagnose" icon={<DiagnoseIcon />} label="AI 诊断" />
+      <SideNavItem href="/chat" icon={<ChatIcon />} label="AI 对话" />
       {user?.role === "admin" && (
         <SideNavItem href="/users" icon={<UsersIcon />} label="用户管理" />
       )}
@@ -136,6 +145,9 @@ export function MobileBottomNav() {
         <MobileNavItem href="/diagnose" label="诊断">
           <DiagnoseIcon />
         </MobileNavItem>
+        <MobileNavItem href="/chat" label="对话">
+          <ChatIcon />
+        </MobileNavItem>
       </div>
     </nav>
   );

frontend/src/components/stock-card.tsx

@@ -1,12 +1,20 @@
 "use client";
 
-import { useState } from "react";
-import { getLevelBadge, getSignalColor, getScoreColor } from "@/lib/utils";
+import { useState, useRef, useEffect } from "react";
+import { getLevelBadge, getScoreColor } from "@/lib/utils";
 import type { RecommendationData } from "@/lib/api";
 
 export default function StockCard({ rec, showLLMLoading = false }: { rec: RecommendationData; showLLMLoading?: boolean }) {
   const badge = getLevelBadge(rec.level);
   const [aiExpanded, setAiExpanded] = useState(false);
+  const aiContentRef = useRef<HTMLDivElement>(null);
+  const [aiContentHeight, setAiContentHeight] = useState(0);
+
+  useEffect(() => {
+    if (aiContentRef.current) {
+      setAiContentHeight(aiContentRef.current.scrollHeight);
+    }
+  }, [aiExpanded, rec.llm_analysis]);
 
   // 入场信号标签
   const signalTypeMap: Record<string, { label: string; style: string }> = {
@@ -23,134 +31,127 @@ export default function StockCard({ rec, showLLMLoading = false }: { rec: Recomm
     : null;
   const tag = signalInfo || legacyStrategy;
 
+  const hasLLM = rec.llm_analysis && rec.llm_analysis !== "AI 分析暂时不可用";
+
   return (
-    <a
-      href={`/stock/${rec.ts_code}`}
-      className="block glass-card p-3 sm:p-4 md:p-5 group"
-    >
-      {/* Header: Name + Strategy + Score */}
-      <div className="flex items-start justify-between mb-2 sm:mb-3">
-        <div className="min-w-0 flex-1">
-          <div className="flex items-center gap-1 flex-wrap">
-            <span className="font-semibold text-sm tracking-tight">{rec.name}</span>
-            <span className={`text-[10px] sm:text-xs px-1 py-0.5 rounded-full font-medium ${badge.bg} ${badge.text}`}>
-              {rec.level}
-            </span>
-            {tag && (
-              <span className={`text-[9px] sm:text-[10px] px-1 py-0.5 rounded-md font-medium border ${tag.style}`}>
-                {tag.label}
-              </span>
-            )}
-          </div>
-          <div className="text-[10px] sm:text-[11px] text-text-muted mt-0.5 sm:mt-1 font-mono tabular-nums truncate">
-            {rec.ts_code} <span className="text-text-muted/40 mx-0.5">·</span> {rec.sector}
-          </div>
-        </div>
-        <div className="text-right shrink-0 ml-2 sm:ml-3">
-          <div className={`text-lg sm:text-xl font-bold font-mono tabular-nums tracking-tight ${getScoreColor(rec.score)}`}>
-            {rec.score}
-          </div>
-          <div className={`text-[10px] sm:text-xs font-semibold tracking-wider ${getSignalColor(rec.signal)}`}>
-            {rec.signal === "BUY" ? "买入" : rec.signal === "SELL" ? "卖出" : "持有"}
-          </div>
-        </div>
-      </div>
-
-      {/* Four dimension score bars */}
-      <div className="grid grid-cols-4 gap-1 sm:gap-2 mb-3 sm:mb-4">
-        <ScoreBar label="市场" value={rec.market_temp_score} />
-        <ScoreBar label="板块" value={rec.sector_score} />
-        <ScoreBar label="资金" value={rec.capital_score} />
-        <ScoreBar label="技术" value={rec.technical_score} />
-      </div>
-
-      {/* Price reference */}
-      {rec.entry_price && (
-        <div className="grid grid-cols-3 gap-1.5 sm:gap-2 mb-2 sm:mb-3 bg-surface-2 rounded-lg sm:rounded-xl px-2.5 sm:px-3 md:px-4 py-2 border border-border-subtle text-[10px] sm:text-xs">
-          <div>
-            <span className="text-text-muted block text-[9px] sm:text-[10px]">买入</span>
-            <span className="text-red-400 font-mono tabular-nums">{rec.entry_price}</span>
-          </div>
-          <div>
-            <span className="text-text-muted block text-[9px] sm:text-[10px]">目标</span>
-            <span className="text-amber-400 font-mono tabular-nums">{rec.target_price}</span>
-          </div>
-          <div>
-            <span className="text-text-muted block text-[9px] sm:text-[10px]">止损</span>
-            <span className="text-emerald-400 font-mono tabular-nums">{rec.stop_loss}</span>
-          </div>
-        </div>
-      )}
-
-      {/* Reasons - show max 2 on mobile, 3 on desktop */}
-      <div className="space-y-1 sm:space-y-1.5">
-        {rec.reasons.slice(0, 2).map((r, i) => (
-          <div key={i} className="text-[10px] sm:text-xs text-text-secondary flex items-start gap-1.5 sm:gap-2">
-            <span className="w-1 h-1 rounded-full bg-amber-500/60 mt-[5px] sm:mt-[7px] shrink-0" />
-            <span className="leading-relaxed line-clamp-2">{r}</span>
-          </div>
-        ))}
-        {rec.reasons.length > 2 && (
-          <div className="text-[9px] sm:text-[10px] text-text-muted/60">+{rec.reasons.length - 2}条原因</div>
-        )}
-      </div>
-
-      {/* AI Analysis — collapsible */}
-      {rec.llm_analysis && rec.llm_analysis !== "AI 分析暂时不可用" ? (
-        <div className="mt-2 sm:mt-3">
-          <button
-            onClick={(e) => { e.preventDefault(); setAiExpanded(!aiExpanded); }}
-            className="w-full flex items-center justify-between bg-accent-cyan/[0.06] border border-accent-cyan/[0.12] rounded-lg sm:rounded-xl px-3 sm:px-4 py-2 hover:bg-accent-cyan/[0.09] transition-colors"
-          >
-            <div className="flex items-center gap-1.5 sm:gap-2 text-[10px] sm:text-xs text-accent-cyan/80 font-semibold tracking-wider">
-              <svg width="10" height="10" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={`transition-transform duration-200 ${aiExpanded ? "rotate-90" : ""}`}>
-                <path d="M9 18l6-6-6-6" />
-              </svg>
-              AI 分析
+    <div className="glass-card p-4 group">
+      {/* Clickable top section — navigates to stock detail */}
+      <a href={`/stock/${rec.ts_code}`} className="block">
+        {/* Header: Name + Strategy + Score */}
+        <div className="flex items-start justify-between mb-3">
+          <div className="min-w-0 flex-1">
+            <div className="flex items-center gap-1.5 flex-wrap">
+              <span className="font-semibold text-sm tracking-tight">{rec.name}</span>
+              {rec.signal === "BUY" && (
+                <span className="text-[10px] px-1.5 py-0.5 rounded-md font-medium bg-red-500/15 text-red-400 border border-red-500/20">
+                  买入
+                </span>
+              )}
+              {tag && (
+                <span className={`text-[10px] px-1.5 py-0.5 rounded-md font-medium border ${tag.style}`}>
+                  {tag.label}
+                </span>
+              )}
             </div>
+            <div className="text-[11px] text-text-muted mt-1 font-mono tabular-nums">
+              {rec.ts_code} · {rec.sector}
+            </div>
+          </div>
+          <div className="text-right shrink-0 ml-3">
+            <div className={`text-xl font-bold font-mono tabular-nums tracking-tight ${getScoreColor(rec.score)}`}>
+              {rec.score}
+            </div>
+            <div className={`text-[10px] font-medium ${badge.text}`}>
+              {rec.level}
+            </div>
+          </div>
+        </div>
+
+        {/* Score dimension bars */}
+        <div className="grid grid-cols-4 gap-2 mb-3">
+          <ScoreBar label="供需" value={rec.supply_demand_score ?? 0} weight="50%" />
+          <ScoreBar label="形态" value={rec.price_action_score ?? 0} weight="40%" />
+          <ScoreBar label="趋势" value={rec.technical_score} weight="10%" />
+          <ScoreBar label="位置" value={rec.position_score ?? 50} weight="防追高" />
+        </div>
+
+        {/* Price reference */}
+        {rec.entry_price && (
+          <div className="grid grid-cols-3 gap-2 mb-2 bg-surface-1/60 rounded-lg px-3 py-2 border border-border-subtle">
+            <div>
+              <span className="text-text-muted/60 block text-[10px]">买入</span>
+              <span className="text-red-400 font-mono tabular-nums text-xs">{rec.entry_price}</span>
+            </div>
+            <div>
+              <span className="text-text-muted/60 block text-[10px]">目标</span>
+              <span className="text-amber-400 font-mono tabular-nums text-xs">{rec.target_price}</span>
+            </div>
+            <div>
+              <span className="text-text-muted/60 block text-[10px]">止损</span>
+              <span className="text-emerald-400 font-mono tabular-nums text-xs">{rec.stop_loss}</span>
+            </div>
+          </div>
+        )}
+
+        {/* Reasons */}
+        <div className="space-y-1.5">
+          {rec.reasons.slice(0, 3).map((r, i) => (
+            <div key={i} className="text-xs text-text-secondary flex items-start gap-2">
+              <span className="w-1 h-1 rounded-full bg-amber-500/60 mt-[6px] shrink-0" />
+              <span className="leading-relaxed line-clamp-2">{r}</span>
+            </div>
+          ))}
+        </div>
+      </a>
+
+      {/* ── AI Analysis — separate from the clickable link area ── */}
+      {hasLLM ? (
+        <div className="mt-3 border-t border-border-subtle pt-3">
+          <button
+            onClick={() => setAiExpanded(!aiExpanded)}
+            className="w-full flex items-center gap-2 text-xs text-cyan-400/80 font-medium hover:text-cyan-400 transition-colors"
+          >
+            <svg width="10" height="10" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2.5" strokeLinecap="round" strokeLinejoin="round" className={`transition-transform duration-200 ${aiExpanded ? "rotate-90" : ""}`}>
+              <path d="M9 18l6-6-6-6" />
+            </svg>
+            AI 分析
             {rec.llm_score != null && (
-              <div className="text-[10px] sm:text-xs font-mono tabular-nums">
-                <span className="text-text-muted">评分 </span>
+              <span className="ml-auto font-mono tabular-nums">
                 <span className={`font-bold ${rec.llm_score >= 7 ? "text-amber-400" : rec.llm_score >= 5 ? "text-cyan-400" : "text-text-muted"}`}>
                   {rec.llm_score}
                 </span>
-                <span className="text-text-muted/50">/10</span>
-              </div>
+                <span className="text-text-muted/40">/10</span>
+              </span>
             )}
           </button>
-          {aiExpanded && (
-            <div className="text-[10px] sm:text-xs text-text-secondary leading-relaxed whitespace-pre-line bg-accent-cyan/[0.03] border border-t-0 border-accent-cyan/[0.08] rounded-b-lg sm:rounded-b-xl px-3 sm:px-4 py-2 sm:py-3">
-              <MarkdownText text={rec.llm_analysis} />
+          <div
+            className="overflow-hidden transition-[max-height] duration-300 ease-out"
+            style={{ maxHeight: aiExpanded ? aiContentHeight + 20 : 0 }}
+          >
+            <div ref={aiContentRef} className="text-xs text-text-secondary leading-relaxed whitespace-pre-line mt-2 pl-1">
+              <MarkdownText text={rec.llm_analysis ?? ""} />
             </div>
-          )}
+          </div>
         </div>
       ) : rec.llm_analysis === "AI 分析暂时不可用" ? (
-        <div className="mt-2 sm:mt-3 text-[10px] sm:text-xs text-text-muted/50 flex items-center gap-1.5">
-          <span className="w-1 h-1 rounded-full bg-text-muted/30" />
-          AI 分析暂时不可用
+        <div className="mt-3 border-t border-border-subtle pt-2 text-xs text-text-muted/40 flex items-center gap-1.5">
+          <span className="w-1 h-1 rounded-full bg-text-muted/20" />
+          AI 分析暂不可用
         </div>
       ) : showLLMLoading ? (
-        <div className="mt-2 sm:mt-3 text-[10px] sm:text-xs text-text-muted flex items-center gap-2">
-          <span className="inline-block w-3 h-3 border border-accent-cyan/30 border-t-accent-cyan/80 rounded-full animate-spin" />
+        <div className="mt-3 border-t border-border-subtle pt-2 text-xs text-text-muted flex items-center gap-2">
+          <span className="inline-block w-3 h-3 border border-cyan-400/30 border-t-cyan-400/80 rounded-full animate-spin" />
           AI 分析中...
         </div>
       ) : null}
 
       {/* Risk note */}
       {rec.risk_note && (
-        <div className="mt-2 sm:mt-3 text-[10px] sm:text-xs text-amber-500/60 bg-amber-500/[0.04] border border-amber-500/[0.08] rounded-lg px-2.5 sm:px-3 py-1.5">
-          {rec.risk_note}
+        <div className="mt-2 text-[11px] text-amber-500/50 bg-amber-500/[0.04] rounded-lg px-3 py-1.5">
+          ⚠ {rec.risk_note}
         </div>
       )}
-
-      {/* Hover indicator - hidden on mobile */}
-      <div className="mt-2 sm:mt-3 hidden sm:flex items-center gap-1 text-xs text-text-muted opacity-0 group-hover:opacity-100 transition-opacity duration-300">
-        <span>查看详情</span>
-        <svg width="10" height="10" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round">
-          <path d="M5 12h14M12 5l7 7-7 7" />
-        </svg>
-      </div>
-    </a>
+    </div>
   );
 }
 
@@ -234,16 +235,16 @@ function renderInlineFormat(text: string) {
   });
 }
 
-function ScoreBar({ label, value }: { label: string; value: number }) {
+function ScoreBar({ label, value, weight }: { label: string; value: number; weight?: string }) {
   const width = Math.min(value, 100);
   const gradientClass = value >= 70 ? "score-bar-gradient-high" : value >= 50 ? "score-bar-gradient-mid" : "score-bar-gradient-low";
   return (
     <div>
-      <div className="flex justify-between text-[9px] sm:text-[10px] xs:text-xs text-text-muted mb-0.5 sm:mb-1">
-        <span className="font-medium">{label}</span>
+      <div className="flex justify-between text-[10px] text-text-muted mb-1">
+        <span className="font-medium">{label}{weight ? <span className="text-text-muted/30 ml-0.5">{weight}</span> : null}</span>
         <span className="font-mono tabular-nums">{value.toFixed(0)}</span>
       </div>
-      <div className="h-1 bg-surface-3 rounded-full overflow-hidden">
+      <div className="h-1.5 bg-surface-3 rounded-full overflow-hidden">
         <div
           className={`h-full rounded-full transition-all duration-700 ease-out ${gradientClass}`}
           style={{ width: `${width}%` }}

frontend/src/hooks/use-websocket.ts

@@ -7,7 +7,7 @@ interface WSMessage {
   [key: string]: unknown;
 }
 
-export function useWebSocket(onMessage?: (data: WSMessage) => void) {
+export function useWebSocket(onMessage?: (data: WSMessage) => void, messageTypes?: string[]) {
   const [connected, setConnected] = useState(false);
   const wsRef = useRef<WebSocket | null>(null);
   const reconnectTimer = useRef<NodeJS.Timeout>();
@@ -29,6 +29,7 @@ export function useWebSocket(onMessage?: (data: WSMessage) => void) {
       if (event.data === "pong") return;
       try {
         const data = JSON.parse(event.data);
+        if (messageTypes && !messageTypes.includes(data.type)) return;
         onMessage?.(data);
       } catch {
         // ignore
@@ -42,7 +43,7 @@ export function useWebSocket(onMessage?: (data: WSMessage) => void) {
 
     ws.onerror = () => ws.close();
     wsRef.current = ws;
-  }, [onMessage]);
+  }, [onMessage, messageTypes]);
 
   useEffect(() => {
     connect();

frontend/src/lib/api.ts

@@ -102,6 +102,8 @@ export interface RecommendationData {
   sector_score: number;
   capital_score: number;
   technical_score: number;
+  supply_demand_score?: number;
+  price_action_score?: number;
   position_score?: number;
   valuation_score?: number;
   entry_price: number | null;

frontend/src/lib/markdown.ts

@@ -0,0 +1,34 @@
+export function markdownToHtml(md: string): string {
+  return md
+    .replace(/&/g, "&")
+    .replace(/</g, "&lt;")
+    .replace(/>/g, "&gt;")
+    .replace(/^## (.+)$/gm, "<h2>$1</h2>")
+    .replace(/^### (.+)$/gm, "<h3>$1</h3>")
+    .replace(/\*\*(.+?)\*\*/g, "<strong>$1</strong>")
+    .replace(/^- (.+)$/gm, "<li>$1</li>")
+    .replace(/(<li>.*<\/li>\n?)+/g, (m) => `<ul>${m}</ul>`)
+    .replace(/\n{2,}/g, "</p><p>")
+    .replace(/^(?!<[hulo])/gm, "<p>")
+    .replace(/(?<![>])$/gm, "</p>")
+    .replace(/<p><\/p>/g, "")
+    .replace(/<p>(<h[23]>)/g, "$1")
+    .replace(/(<\/h[23]>)<\/p>/g, "$1")
+    .replace(/<p>(<ul>)/g, "$1")
+    .replace(/(<\/ul>)<\/p>/g, "$1");
+}
+
+export function formatMarkdown(text: string): string {
+  let html = text
+    .replace(/&/g, "&amp;")
+    .replace(/</g, "&lt;")
+    .replace(/>/g, "&gt;")
+    .replace(/\*\*(.+?)\*\*/g, "<strong>$1</strong>")
+    .replace(/^\s*[-*]\s+(.+)/gm, "<li>$1</li>")
+    .replace(/\n/g, "<br>");
+  // Wrap consecutive <li> items in <ul>
+  html = html.replace(/(<li>.*?<\/li>(<br>)?)+/g, (match) => {
+    return "<ul>" + match.replace(/<br>/g, "") + "</ul>";
+  });
+  return html;
+}