diff --git a/sanguo_portfolio/strategies/all_weather.py b/sanguo_portfolio/strategies/all_weather.py
index 4acdfa1..9bbd3ca 100644
--- a/sanguo_portfolio/strategies/all_weather.py
+++ b/sanguo_portfolio/strategies/all_weather.py
@@ -257,6 +257,10 @@ class AllWeatherStrategy:
             if stock in target or stock in self.yesterday_hl_list:
                 continue
             self._close_position(stock)
+        # 卖出后重取:聚宽原版卖出后持仓同步更新,若沿用卖出前快照,
+        # 持仓数≥目标数的换仓月 target_num>position_count 恒 False → 一股不买,
+        # 空仓躺到下月(2025-09-01/12-01 NAS 实测)
+        positions = _get_positions(context)
 
         # 6) 买入 target 里的新股
         position_count = len(positions)
diff --git a/tests/portfolio/test_all_weather.py b/tests/portfolio/test_all_weather.py
index 0f77489..c5bacb8 100644
--- a/tests/portfolio/test_all_weather.py
+++ b/tests/portfolio/test_all_weather.py
@@ -340,6 +340,72 @@ class TestMonthlyAdjustmentDecision:
         for etf in s.config.foreign_etf:
             assert etf in called_codes, f"未触发海外 ETF 下单: {etf}"
 
+    def test_rotation_buys_new_after_selling_old(self):
+        """换仓月回归:卖出旧仓后须重取持仓再决定买入。
+
+        2025-09-01/12-01 实况:持仓数≥目标数时,step5 卖完全部旧仓,
+        step6 却用卖出【前】的陈旧持仓计数(len≥target)→ 一股不买 →
+        空仓躺到下月。聚宽原版卖出后持仓同步更新,翻译时快照没刷新。
+        """
+        from tests.portfolio.conftest import FakePosition
+
+        s = make_strategy(
+            index_stocks_map={
+                "000300.XSHG": ["600519.XSHG"],
+                "399101.XSHE": ["000001.XSHE"],
+            },
+            price_df_map={
+                ("['600519.XSHG']", ("close",), 10): pd.DataFrame({
+                    "time": pd.to_datetime(["2024-09-20", "2024-09-30"]),
+                    "code": ["600519.XSHG"] * 2, "close": [15.0, 10.0],
+                }),
+                ("['000001.XSHE']", ("close",), 10): pd.DataFrame({
+                    "time": pd.to_datetime(["2024-09-20", "2024-09-30"]),
+                    "code": ["000001.XSHE"] * 2, "close": [15.0, 10.0],
+                }),
+            },
+        )
+        s.provider.get_fundamentals_df.return_value = make_fund_df([
+            {"code": "600519.XSHG", "circulating_market_cap": 20000, "market_cap": 20000},
+            {"code": "000001.XSHE", "circulating_market_cap": 500, "market_cap": 500},
+        ])
+
+        # 持仓 5 只(= foreign_etf 数量),卖出后动态清空(模拟引擎持仓属性)
+        held = {f"60000{i}.XSHG": FakePosition(f"60000{i}.XSHG", 10.0, 10.0)
+                for i in range(5)}
+        state = dict(held)
+
+        class DynPortfolio:
+            available_cash = 1_000_000
+            cash = 1_000_000
+
+            @property
+            def positions(self):
+                return dict(state)
+
+        ctx = MagicMock()
+        ctx.current_dt = datetime(2024, 10, 8, 9, 30)
+        ctx.previous_date = "2024-09-30"
+        ctx.portfolio = DynPortfolio()
+
+        def _order(code, value):
+            if value == 0:
+                state.pop(code, None)  # 卖出→持仓减少(引擎语义)
+            return MagicMock(filled=100)
+        s.broker.order_target_value.side_effect = _order
+
+        s.monthly_adjustment(ctx)
+
+        # 旧仓 5 只全卖
+        sell_codes = [c.args[0] for c in s.broker.order_target_value.call_args_list
+                      if c.args[1] == 0]
+        assert sorted(sell_codes) == sorted(held.keys())
+        # 新仓(5 只 ETF)要买进来——陈旧计数会让 5>5=False 一股不买
+        buy_codes = [c.args[0] for c in s.broker.order_target_value.call_args_list
+                     if c.args[1] > 0]
+        assert sorted(buy_codes) == sorted(s.config.foreign_etf), \
+            f"换仓月未买入新目标: 实买={buy_codes}"
+
     def test_foreign_etf_branch_skips_limitup_and_paused(self):
         """P1.3:涨停(未持有)与停牌的 ETF 不买入——filter 批量预取接线。"""
         s = make_strategy(