diff --git a/deploy/profile-scripts/candidate_filter.py b/deploy/profile-scripts/candidate_filter.py
index be443cf4..cb927d03 100644
--- a/deploy/profile-scripts/candidate_filter.py
+++ b/deploy/profile-scripts/candidate_filter.py
@@ -48,33 +48,28 @@ def log_candidate(conn, code, stage, passed, detail):
 
 # ── Stage 2: 多日K线确认 ──
 
-def fetch_daily_klines(code):
-    """拉取近10日日K线（Sina 240分钟线=日K）"""
+def fetch_daily_klines(code, conn=None):
+    """读 stock_daily 近10日日K（2026-08-24 数据分层铁律：不再curl sina，DB千万行日线本地读，毫秒级）"""
     raw = str(code).strip()
-    if raw.startswith(("6", "9")):
-        prefix = "sh"
-    elif raw.startswith(("0", "3")):
-        prefix = "sz"
-    else:
-        return None
-    
-    import subprocess as _sp, json as _json
-    url = f"http://money.finance.sina.com.cn/quotes_service/api/json_v2.php/CN_MarketData.getKLineData?symbol={prefix}{raw}&scale=240&ma=5&datalen=10"
+    own = conn is None
+    if own:
+        conn = get_conn()
     try:
-        r = _sp.run(["curl", "-s", "--noproxy", "*", url], capture_output=True, timeout=10)
-        data = _json.loads(r.stdout)
-        if not data:
+        rows = conn.execute(
+            "SELECT date, open, close, high, low, volume FROM stock_daily WHERE code=? ORDER BY date DESC LIMIT 10",
+            (raw,)).fetchall()
+        if not rows:
             return None
         result = []
-        for k in data:
+        for r in reversed(rows):  # 日期升序（与原sina返回一致）
             result.append({
-                "date": k.get("day", "")[:10],
-                "open": float(k["open"]),
-                "close": float(k["close"]),
-                "high": float(k["high"]),
-                "low": float(k["low"]),
-                "volume": int(k["volume"]),
-                "price": float(k["close"]),
+                "date": r[0],
+                "open": float(r[1] or 0),
+                "close": float(r[2] or 0),
+                "high": float(r[3] or 0),
+                "low": float(r[4] or 0),
+                "volume": int(r[5] or 0),
+                "price": float(r[2] or 0),
                 "change_pct": 0,
             })
         # 计算涨跌幅
@@ -83,9 +78,11 @@ def fetch_daily_klines(code):
             if prev > 0:
                 result[i]["change_pct"] = (result[i]["close"] / prev - 1) * 100
         return result
-    except Exception as e:
-        return None
+    except Exception:
         return None
+    finally:
+        if own:
+            conn.close()
 
 
 def stage2_confirm(code, name, klines):
@@ -184,56 +181,41 @@ def stage3_technical(code, name, klines):
 # ── Stage 4: 资金性质分析 ──
 
 def stage4_capital_flow(code, name):
-    """第四关：资金性质（从腾讯实时行情提取外盘/内盘比）"""
+    """第四关：资金性质（读 capital_flow_cache 主力净流入，2026-08-24 数据分层铁律：
+    不再curl腾讯quote。主力净流入语义强于外盘/内盘比——直接回答"主力在买还是卖"）"""
     raw = str(code).strip()
-    if raw.startswith(("6", "9")):
-        prefix = "sh"
-    elif raw.startswith(("0", "3")):
-        prefix = "sz"
-    else:
-        return False, 0, "非A股"
-    
-    import subprocess as _sp
-    url = f"http://qt.gtimg.cn/q={prefix}{raw}"
+    conn = get_conn()
     try:
-        r = _sp.run(["curl", "-s", url], capture_output=True, timeout=10)
-        text = r.stdout.decode("gbk", errors="ignore")
-        parts = text.split("~")
-        if len(parts) < 40:
-            return False, 0, "数据不足"
-        
-        # 腾讯字段：[7]=外盘(主动买,股),[8]=内盘(主动卖,股)
-        try:
-            outer = int(float(parts[7])) if parts[7] else 0  # 外盘
-            inner = int(float(parts[8])) if parts[8] else 0  # 内盘
-        except:
-            return False, 0, "解析失败"
-        
-        if outer <= 0 or inner <= 0:
-            return False, 0, "无盘口数据"
-        
+        r = conn.execute("SELECT cache_json FROM capital_flow_cache ORDER BY id DESC LIMIT 1").fetchone()
+        if not r:
+            return False, 0, "无资金流缓存"
+        import json as _j
+        stocks = (_j.loads(r[0]) or {}).get("stocks") or {}
+        info = stocks.get(raw)
+        if not info or not info.get("flow"):
+            return False, 0, "无资金流数据"
+        flow = info["flow"]  # [{date, main_net, super_large, ...}] 日期升序
+        recent = flow[-3:]  # 近3日
         score = 0
-        ratio = outer / inner if inner > 0 else 1
         checks = []
-        
-        if ratio > 1.3:
+        pos_days = sum(1 for f in recent if (f.get("main_net") or 0) > 0)
+        total_net = sum((f.get("main_net") or 0) for f in recent)
+        if pos_days >= 2:
             score += 2
-            checks.append(f"外/内={ratio:.2f}")
-        elif ratio > 1.0:
+            checks.append(f"主力净流入{pos_days}/3日")
+        elif pos_days >= 1:
             score += 1
-            checks.append(f"买稍强{ratio:.2f}")
+            checks.append(f"净流入{pos_days}/3日")
         else:
-            checks.append(f"卖稍强{ratio:.2f}")
-        
-        # 绝对量也说明资金活跃度
-        total = outer + inner
-        if total > 50000000:  # >5000万股
+            checks.append("连续净流出")
+        if total_net > 30000000:  # 3日累计>3000万
             score += 1
-            checks.append(f"活跃{total/10000:.0f}万")
-        
+            checks.append(f"累计{total_net/10000:.0f}万")
         return score >= 1, score, "; ".join(checks)
-    except:
-        return False, 0, "接口失败"
+    except Exception as e:
+        return False, 0, f"读取失败:{str(e)[:30]}"
+    finally:
+        conn.close()
 
 
 # ── Stage 5: 基本面 ──