diff --git a/deploy/profile-scripts/batch_reassess.py b/deploy/profile-scripts/batch_reassess.py
index 4bf46858..044eef66 100644
--- a/deploy/profile-scripts/batch_reassess.py
+++ b/deploy/profile-scripts/batch_reassess.py
@@ -179,13 +179,14 @@ def build_prompt(data):
     except:
         pass
     
-    # 拉取近期消息面（stock 关联走 searched_stocks，失败不拖累大盘兜底）
+    # 拉取近期消息面（不再要求情绪标签——原始新闻直接喂给12维LLM，由LLM自行判断情绪。
+    # 2026-07-22：情绪分类器已退役，利好/利空标签停在07-09，强制过滤=自断新闻源）
     _news_note = "暂无近期消息"
     _news_items = []
     try:
         import sqlite3 as _sq
         _db = _sq.connect("/home/hmo/MoFin/data/mofin.db")
-        # ① 个股直接相关（searched_stocks 含本代码 或 行业名匹配）
+        # ① 个股直接相关（searched_stocks 含本代码 或 行业名匹配），不限情绪标签
         _sector_name = ""
         try:
             _sr = _db.execute(
@@ -195,21 +196,24 @@ def build_prompt(data):
             pass
         _nr = _db.execute(
             "SELECT summary, overall_sentiment, created_at FROM signal_news "
-            "WHERE (searched_stocks LIKE ? OR sector LIKE ?) AND overall_sentiment IN ('利好','利空') "
+            "WHERE searched_stocks LIKE ? OR sector LIKE ? "
             "ORDER BY id DESC LIMIT 3",
             (f'%{data["code"]}%', f'%{_sector_name}%')).fetchall()
         _news_items.extend(_nr)
-        # ② 大盘兜底（独立 try，不被①的失败拖累）
+        # ② 大盘兜底（独立 try，不被①的失败拖累；取最新3条，不限标签）
         if not _news_items:
             _nr2 = _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()
+                "ORDER BY id DESC LIMIT 3").fetchall()
             _news_items.extend(_nr2)
         _db.close()
     except:
         pass
     if _news_items:
-        _news_note = " | ".join([f"{r[2][:10]} {r[1]} {r[0][:40]}" for r in _news_items])
+        def _fmt(r):
+            senti = r[1] if r[1] and r[1] != 'unknown' else '未标注'
+            return f"{r[2][:10]} [{senti}] {r[0][:40]}"
+        _news_note = " | ".join([_fmt(r) for r in _news_items])
     
     # ── 构建【原策略全文】section ──
     _params_parts = []
diff --git a/deploy/profile-scripts/per_stock_reassess.py b/deploy/profile-scripts/per_stock_reassess.py
index d842f92f..0a10665b 100644
--- a/deploy/profile-scripts/per_stock_reassess.py
+++ b/deploy/profile-scripts/per_stock_reassess.py
@@ -179,19 +179,28 @@ def _build_full_analysis(code, entry, result):
         except:
             pass
     
-    # 消息面：从signal_news读最新信号
+    # 消息面：从signal_news读最新信号（不限情绪标签，LLM自行判断）
     news_lines = []
     try:
         _n_db = __import__('sqlite3').connect("/home/hmo/MoFin/data/mofin.db")
         _nr = _n_db.execute(
             "SELECT summary, overall_sentiment, created_at FROM signal_news "
-            "WHERE (sector LIKE ? OR sector LIKE ?) AND overall_sentiment IN ('利好','利空') "
+            "WHERE sector LIKE ? OR sector LIKE ? "
             "ORDER BY id DESC LIMIT 2",
             (f'%{code}%', f'%{name[:4]}%')
         ).fetchall()
+        if not _nr:
+            _nr = _n_db.execute(
+                "SELECT summary, overall_sentiment, created_at FROM signal_news "
+                "ORDER BY id DESC LIMIT 2").fetchall()
         for _ns in _nr:
-            _sent = _ns[1]
-            _icon = '📈' if '利好' in str(_sent) else '📉'
+            _sent = str(_ns[1])
+            if '利好' in _sent:
+                _icon = '📈'
+            elif '利空' in _sent:
+                _icon = '📉'
+            else:
+                _icon = '📰'
             news_lines.append(f"{_icon} {_ns[0][:60]} ({str(_ns[2])[:10]})")
         _n_db.close()
     except:
@@ -418,18 +427,22 @@ def main():
                     except:
                         pass
                     
-                    # 拉取近期消息面
+                    # 拉取近期消息面（不限情绪标签）
                     _news_note = "暂无近期消息"
                     try:
                         _ndb = __import__('sqlite3').connect("/home/hmo/MoFin/data/mofin.db")
                         _nr2 = _ndb.execute(
                             "SELECT summary, overall_sentiment, created_at FROM signal_news "
-                            "WHERE (code=? OR sector LIKE ?) AND overall_sentiment IN ('利好','利空') "
+                            "WHERE searched_stocks LIKE ? OR sector LIKE ? "
                             "ORDER BY id DESC LIMIT 3",
-                            (code, f'%{entry.get("name","")[:4]}%')
+                            (f'%{code}%', f'%{entry.get("name","")[:4]}%')
                         ).fetchall()
+                        if not _nr2:
+                            _nr2 = _ndb.execute(
+                                "SELECT summary, overall_sentiment, created_at FROM signal_news "
+                                "ORDER BY id DESC LIMIT 3").fetchall()
                         if _nr2:
-                            _news_note = " | ".join([f"{r[2][:10]} {r[1]} {r[0][:40]}" for r in _nr2])
+                            _news_note = " | ".join([f"{r[2][:10]} [{r[1] or '未标注'}] {r[0][:40]}" for r in _nr2])
                         _ndb.close()
                     except:
                         pass