diff --git a/deploy/profile-scripts/batch_reassess.py b/deploy/profile-scripts/batch_reassess.py
index 7d5d5710..0b765df3 100644
--- a/deploy/profile-scripts/batch_reassess.py
+++ b/deploy/profile-scripts/batch_reassess.py
@@ -164,17 +164,30 @@ def build_prompt(data):
     except:
         pass
     
-    # 拉取近期消息面
+    # 拉取近期消息面（按代码/行业名匹配，无个股消息则带大盘级消息）
     _news_note = "暂无近期消息"
     try:
         import sqlite3 as _sq
         _db = _sq.connect("/home/hmo/MoFin/data/mofin.db")
-        _nr = _db.execute(
-            "SELECT summary, overall_sentiment, created_at FROM signal_news "
-            "WHERE (code=? OR sector LIKE ?) AND overall_sentiment IN ('利好','利空') "
-            "ORDER BY id DESC LIMIT 3",
-            (data['code'], f'%{data.get("name","")[:4]}%')
-        ).fetchall()
+        _sector_name = ""
+        try:
+            _sr = _db.execute(
+                "SELECT sector FROM stock_sectors WHERE code=? LIMIT 1", (data['code'],)).fetchone()
+            _sector_name = _sr[0] if _sr else ""
+        except Exception:
+            pass
+        _nr = []
+        if _sector_name:
+            _nr = _db.execute(
+                "SELECT summary, overall_sentiment, created_at FROM signal_news "
+                "WHERE (code=? OR sector LIKE ?) AND overall_sentiment IN ('利好','利空') "
+                "ORDER BY id DESC LIMIT 3",
+                (data['code'], f'%{_sector_name}%')).fetchall()
+        if not _nr:
+            _nr = _db.execute(
+                "SELECT summary, overall_sentiment, created_at FROM signal_news "
+                "WHERE overall_sentiment IN ('利好','利空') "
+                "ORDER BY id DESC LIMIT 2").fetchall()
         if _nr:
             _news_note = " | ".join([f"{r[2][:10]} {r[1]} {r[0][:40]}" for r in _nr])
         _db.close()
diff --git a/deploy/profile-scripts/capital_flow_collector.py b/deploy/profile-scripts/capital_flow_collector.py
index 22477485..86997cb3 100644
--- a/deploy/profile-scripts/capital_flow_collector.py
+++ b/deploy/profile-scripts/capital_flow_collector.py
@@ -22,7 +22,7 @@ RATE_LIMIT = Semaphore(5)
 MIN_INTERVAL = 0.3
 _last_req = 0
 
-def _rate_limited_request(url):
+def _rate_limited_request(url, referer="https://data.eastmoney.com/"):
     """带速率限制的HTTP GET，用Semaphore控制并发数"""
     global _last_req
     with RATE_LIMIT:
@@ -31,7 +31,7 @@ def _rate_limited_request(url):
             time.sleep(MIN_INTERVAL - elapsed)
         proxy_handler = urllib.request.ProxyHandler({})
         opener = urllib.request.build_opener(proxy_handler)
-        req = Request(url, headers={"User-Agent": UA, "Referer": "https://data.eastmoney.com/"})
+        req = Request(url, headers={"User-Agent": UA, "Referer": referer})
         try:
             resp = opener.open(req, timeout=8)
             _last_req = time.time()
@@ -47,30 +47,38 @@ def secid(code):
     return f"0.{code}"
 
 def fetch_flow(code, days=5):
-    """拉取个股近N日资金流（带限速+代理绕过）"""
-    sid = secid(code)
-    url = f"http://push2his.eastmoney.com/api/qt/stock/fflow/daykline/get?secid={sid}&fields1=f1,f2,f3,f7&fields2=f51,f52,f53,f54,f55,f56,f57&lmt={days}"
-    data = _rate_limited_request(url)
-    if not data:
+    """拉取个股近N日资金流（Sina MoneyFlow — eastmoney 在 246 不可达 2026-07-22）"""
+    code = str(code).strip()
+    if code.startswith(("6", "9")):
+        dm = f"sh{code}"
+    elif code.startswith(("0", "1")) and len(code) == 5:
+        dm = f"hk{code}"  # 港股 sina 不支持资金流，直接返回 None
         return None
-    klines = data.get("data") or {}
-    if isinstance(klines, dict):
-        klines = klines.get("klines", [])
-    if not klines:
+    else:
+        dm = f"sz{code}"
+    url = ("https://vip.stock.finance.sina.com.cn/quotes_service/api/json_v2.php/"
+           f"MoneyFlow.ssl_qsfx_lscjfb?daima={dm}")
+    data = _rate_limited_request(url, referer="https://finance.sina.com.cn")
+    if not data or not isinstance(data, list) or not data:
         return None
     result = []
-    for k in klines:
-        p = k.split(",")
-        if len(p) >= 7:
+    for d in data[-days:]:
+        try:
+            r0n = float(d.get("r0_net", 0) or 0)   # 超大单净流入(元)
+            r1n = float(d.get("r1_net", 0) or 0)   # 大单净流入(元)
+            r2n = float(d.get("r2_net", 0) or 0)   # 中单净流入(元)
+            r3n = float(d.get("r3_net", 0) or 0)   # 小单净流入(元)
             result.append({
-                "date": p[0],
-                "main_net": float(p[1]),     # 主力净流入(元)
-                "super_large": float(p[2]),   # 超大单净流入(元)
-                "large": float(p[3]),          # 大单净流入(元)
-                "medium": float(p[4]),         # 中单净流入(元)
-                "small": float(p[5]),          # 小单净流入(元)
+                "date": d.get("opendate", ""),
+                "main_net": r0n + r1n,
+                "super_large": r0n,
+                "large": r1n,
+                "medium": r2n,
+                "small": r3n,
             })
-    return result
+        except Exception:
+            continue
+    return result or None
 
 def fetch_flow_intraday(code):
     """拉取当日分时资金流（用于盘中判断）"""