diff --git a/czsc/cobra/utils.py b/czsc/cobra/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..dd0cd3ba8d5c358d6cffd67875d899a0485ceb93
--- /dev/null
+++ b/czsc/cobra/utils.py
@@ -0,0 +1,93 @@
+# coding: utf-8
+
+import numpy as np
+import pandas as pd
+from czsc.ta import KDJ
+import traceback
+from typing import List, Union
+
+
+def down_cross_count(x1: Union[List, np.array], x2: Union[List, np.array]):
+    """输入两个序列，计算 x1 下穿 x2 的次数
+
+    :param x1: list
+    :param x2: list
+    :return: int
+
+    example:
+    ========
+    >>> x1 = [1, 1, 3, 4, 5, 12, 9, 8]
+    >>> x2 = [2, 2, 1, 5, 8, 9, 10, 10]
+    >>> print("x1 下穿 x2 的次数：{}".format(down_cross_count(x1, x2)))
+    >>> print("x1 上穿 x2 的次数：{}".format(down_cross_count(x2, x1)))
+    """
+    x = np.array(x1) < np.array(x2)
+    num = 0
+    for i in range(len(x) - 1):
+        b1, b2 = x[i], x[i + 1]
+        if b2 and b1 != b2:
+            num += 1
+    return num
+
+
+def kdj_gold_cross(kline: Union[List[dict], pd.DataFrame], just: bool = True):
+    """输入K线，判断KDJ是否金叉
+
+    :param kline: pd.DataFrame
+    :param just: bool
+        是否是刚刚形成
+    :return: bool
+    """
+    try:
+        if isinstance(kline, list):
+            close = [x['close'] for x in kline]
+            high = [x['high'] for x in kline]
+            low = [x['low'] for x in kline]
+        else:
+            close = kline.close.values
+            high = kline.high.values
+            low = kline.low.values
+
+        k, d, j = KDJ(close=close, high=high, low=low)
+
+        if not just and j[-1] > k[-1] > d[-1]:
+            return True
+        elif just and j[-1] > k[-1] > d[-1] and not (j[-2] > k[-2] > d[-2]):
+            return True
+        else:
+            return False
+    except:
+        print("{}: run error kdj_gold_cross".format(kline.iloc[0]['symbol']))
+        traceback.print_exc()
+        return False
+
+def kdj_dead_cross(kline: Union[List[dict], pd.DataFrame], just: bool = True):
+    """输入K线，判断KDJ是否死叉
+
+    :param kline: pd.DataFrame
+    :param just: bool
+        是否是刚刚形成
+    :return: bool
+    """
+    try:
+        if isinstance(kline, list):
+            close = [x['close'] for x in kline]
+            high = [x['high'] for x in kline]
+            low = [x['low'] for x in kline]
+        else:
+            close = kline.close.values
+            high = kline.high.values
+            low = kline.low.values
+
+        k, d, j = KDJ(close=close, high=high, low=low)
+
+        if not just and j[-1] < k[-1] < d[-1]:
+            return True
+        elif just and j[-1] < k[-1] < d[-1] and not (j[-2] < k[-2] < d[-2]):
+            return True
+        else:
+            return False
+    except:
+        print("{}: run error kdj_dead_cross".format(kline.iloc[0]['symbol']))
+        traceback.print_exc()
+        return False
diff --git a/test/test_cobra_utils.py b/test/test_cobra_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..52cd266874f442e0e88cff27b0dde6aae974e966
--- /dev/null
+++ b/test/test_cobra_utils.py
@@ -0,0 +1,41 @@
+# coding: utf-8
+import sys
+import warnings
+
+sys.path.insert(0, '.')
+sys.path.insert(0, '..')
+import os
+import numpy as np
+import pandas as pd
+import czsc
+from czsc.cobra.utils import down_cross_count, kdj_gold_cross, kdj_dead_cross
+
+warnings.warn("czsc version is {}".format(czsc.__version__))
+
+# cur_path = os.path.split(os.path.realpath(__file__))[0]
+cur_path = "./test"
+
+def test_kdj_cross():
+    file_kline = os.path.join(cur_path, "data/000001.SH_D.csv")
+    kline = pd.read_csv(file_kline, encoding="utf-8")
+    bars = kline.to_dict("records")
+
+    assert not kdj_gold_cross(kline, just=False)
+    assert not kdj_gold_cross(bars, just=False)
+    assert kdj_dead_cross(kline, just=False)
+    assert kdj_dead_cross(bars, just=False)
+    assert not kdj_dead_cross(kline, just=True)
+
+
+def test_cross_count():
+    x1 = [1, 1, 3, 4, 5, 12, 9, 8]
+    x2 = [2, 2, 1, 5, 8, 9, 10, 10]
+    assert down_cross_count(x1, x2) == 2
+    assert down_cross_count(np.array(x1), np.array(x2)) == 2
+    assert down_cross_count(x2, x1) == 2
+    assert down_cross_count(np.array(x2), np.array(x1)) == 2
+
+
+
+
+