diff --git a/data_platform/test_catalog.py b/data_platform/test_catalog.py
new file mode 100644
index 000000000..a4026a497
--- /dev/null
+++ b/data_platform/test_catalog.py
@@ -0,0 +1,103 @@
+"""
+数据平台测试 - 验证 DataCatalog 4个核心API
+
+运行方式：cd sanguo_quant_live && python3 data_platform/test_catalog.py
+"""
+
+import sys
+from pathlib import Path
+
+# 确保项目根目录在 path 中
+sys.path.insert(0, str(Path(__file__).parent.parent))
+
+from data_platform import DataCatalog, DataPlatformConfig
+
+
+def test_config():
+    """测试配置层"""
+    cfg = DataPlatformConfig()
+    assert cfg.root.exists(), f"项目根不存在: {cfg.root}"
+    assert cfg.daily_parquet_dir.exists(), f"日线目录不存在: {cfg.daily_parquet_dir}"
+    assert cfg.stock_info_dir.exists(), f"股票信息目录不存在: {cfg.stock_info_dir}"
+    print("✅ test_config 通过")
+
+
+def test_get_daily():
+    """测试获取日线数据"""
+    cat = DataCatalog()
+
+    # 基本查询
+    df = cat.get_daily("600519", start="20250101", end="20251231")
+    assert len(df) > 0, "日线数据为空"
+    assert "close" in df.columns, "缺少 close 列"
+    assert df["close"].notna().all(), "close 列有空值"
+
+    # 日期范围
+    assert df["date"].min() >= __import__("pandas").Timestamp("2025-01-01")
+    assert df["date"].max() <= __import__("pandas").Timestamp("2025-12-31")
+
+    # 深市股票
+    df2 = cat.get_daily("000001", start="20250101", end="20250301")
+    assert len(df2) > 0, "深市股票数据为空"
+
+    # 不存在的股票
+    try:
+        cat.get_daily("999999")
+        assert False, "应该抛出 FileNotFoundError"
+    except FileNotFoundError:
+        pass
+
+    print("✅ test_get_daily 通过")
+
+
+def test_get_stock_list():
+    """测试获取股票列表"""
+    cat = DataCatalog()
+
+    # 全部A股
+    df_all = cat.get_stock_list()
+    assert len(df_all) > 5000, f"A股数量异常: {len(df_all)}"
+
+    # 沪深300
+    df_hs300 = cat.get_stock_list("hs300")
+    assert len(df_hs300) == 300, f"沪深300数量异常: {len(df_hs300)}"
+
+    print("✅ test_get_stock_list 通过")
+
+
+def test_get_test_data():
+    """测试获取测试数据集"""
+    cat = DataCatalog()
+
+    df = cat.get_test_data("600519")
+    assert len(df) > 0, "测试数据为空"
+    assert "close" in df.columns
+
+    # 不存在的数据集
+    try:
+        cat.get_test_data("NOT_EXIST")
+        assert False, "应该抛出 FileNotFoundError"
+    except FileNotFoundError:
+        pass
+
+    print("✅ test_get_test_data 通过")
+
+
+def test_list_available():
+    """测试列出可用数据"""
+    cat = DataCatalog()
+
+    avail = cat.list_available()
+    assert "daily_parquet" in avail
+    assert len(avail["daily_parquet"]["years"]) >= 10
+
+    print("✅ test_list_available 通过")
+
+
+if __name__ == "__main__":
+    test_config()
+    test_get_daily()
+    test_get_stock_list()
+    test_get_test_data()
+    test_list_available()
+    print("\n🎉 全部测试通过！")