diff --git a/datasource/ccxt_source.py b/datasource/ccxt_source.py
index 4477175..33c2329 100644
--- a/datasource/ccxt_source.py
+++ b/datasource/ccxt_source.py
@@ -212,6 +212,13 @@ class CCXTSource:
             # 过滤日期范围
             df = df.loc[start_dt:end_dt]
             
+            # 添加元数据到 attrs
+            df.attrs['source'] = 'ccxt'
+            df.attrs['exchange'] = self.exchange_name
+            df.attrs['symbol'] = symbol
+            df.attrs['timeframe'] = tf
+            df.attrs['adj'] = 'raw'
+            
             print(f"✓ 获取成功: {len(df)} 条数据")
             
             return df
@@ -263,6 +270,13 @@ class CCXTSource:
             df = df.set_index('date')
             df = df[['open', 'high', 'low', 'close', 'volume']]
             
+            # 添加元数据到 attrs
+            df.attrs['source'] = 'ccxt'
+            df.attrs['exchange'] = self.exchange_name
+            df.attrs['symbol'] = symbol
+            df.attrs['timeframe'] = tf
+            df.attrs['adj'] = 'raw'
+            
             # 注意：不再使用 normalize()，保留完整时间精度
             
             return df
diff --git a/datasource/universal_fetcher.py b/datasource/universal_fetcher.py
index f4b540e..aa2fc6a 100644
--- a/datasource/universal_fetcher.py
+++ b/datasource/universal_fetcher.py
@@ -12,8 +12,10 @@
     # 单标的获取（自动识别类型）
     df = fetcher.fetch("000300.SH", "2024-01-01", "2024-12-31")
     
-    # ETF获取（含净值）
-    price_df, nav_df = fetcher.fetch_etf_with_nav("513100.SH", "2024-01-01", "2024-12-31")
+    # ETF获取（含净值，从 df.attrs 提取）
+    df = fetcher.fetch_etf("513100.SH", "2024-01-01", "2024-12-31")
+    nav_df = df.attrs.get('nav')
+    premium_series = df.attrs.get('premium')
     
     # 批量获取
     results = fetcher.fetch_batch(["000300.SH", "NDX", "N225"], "2024-01-01", "2024-12-31")
@@ -306,9 +308,12 @@ class UniversalDataFetcher:
         end_date: str
     ) -> Tuple[Optional[pd.DataFrame], Optional[pd.DataFrame], Optional[pd.Series]]:
         """
-        获取ETF价格 + 净值 + 溢价率序列（兼容旧接口）
+        获取ETF价格 + 净值 + 溢价率序列（⚠️ DEPRECATED 兼容旧接口）
         
-        内部调用统一的 fetch_etf() 方法，从 DataFrame.attrs 提取元数据
+        ⚠️ 推荐使用新接口：
+            df = fetcher.fetch_etf(code, start_date, end_date, adj='raw')
+            nav_df = df.attrs.get('nav')
+            premium_series = df.attrs.get('premium')
         
         Args:
             code: ETF代码
@@ -321,6 +326,14 @@ class UniversalDataFetcher:
             - nav_df: ETF净值数据（来自 df.attrs['nav']）
             - premium_series: 溢价率序列（来自 df.attrs['premium']）
         """
+        import warnings
+        warnings.warn(
+            "fetch_etf_with_nav() is deprecated. "
+            "Use fetch_etf(code, start, end, adj='raw') and access df.attrs['nav'] and df.attrs['premium'] instead.",
+            DeprecationWarning,
+            stacklevel=2
+        )
+        
         # 调用统一的 fetch_etf() 方法
         df = self._tushare.fetch_etf(code, start_date, end_date, adj='raw')