diff --git a/Src/Utilities/Test_buyer_heuristic.py b/Src/Utilities/Test_buyer_heuristic.py
deleted file mode 100644
index 62b6f8d..0000000
--- a/Src/Utilities/Test_buyer_heuristic.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from Strategic_adjustments import buyer_heuristic
-import numpy as np
-import sys
-import inspect
-import logging
-from functools import wraps
-
-Price_decision_data = {'is_buyer': True, 'round_num': 1, 'advantage': 'none', 'price': np.float64(1.5), 'avg_buyer_price': np.float64(2.0), 'avg_seller_price': np.float64(1.0), 'avg_seller_min_price': np.float64(0.7), 'avg_buyer_max_price': np.float64(2.46875), 'std_buyer_price': np.float64(0.0), 'std_seller_price': np.float64(0.0), 'std_buyer_max': np.float64(0.0), 'std_seller_min': np.float64(0.0), 'demand': np.float64(30.0), 'supply': np.float64(10.0), 'pvt_res_price': 1.4375, 'previous_price': 2}
-
-
-
-
-
-
-
-if __name__ == "__main__":
-    logging.basicConfig(level=logging.DEBUG, format='%(message)s')
-    print(buyer_heuristic(Price_decision_data))
\ No newline at end of file
diff --git a/Src/Utilities/test_buyer_heuristic.py b/Src/Utilities/test_buyer_heuristic.py
new file mode 100644
index 0000000..fb2d013
--- /dev/null
+++ b/Src/Utilities/test_buyer_heuristic.py
@@ -0,0 +1,26 @@
+from Strategic_adjustments import buyer_heuristic
+import numpy as np
+
+Price_decision_data = {
+    'is_buyer': True,
+    'round_num': 1,
+    'advantage': 'none',
+    'price': np.float64(1.5),
+    'avg_buyer_price': np.float64(2.0),
+    'avg_seller_price': np.float64(1.0),
+    'avg_seller_min_price': np.float64(0.7),
+    'avg_buyer_max_price': np.float64(2.46875),
+    'std_buyer_price': np.float64(0.0),
+    'std_seller_price': np.float64(0.0),
+    'std_buyer_max': np.float64(0.0),
+    'std_seller_min': np.float64(0.0),
+    'demand': np.float64(30.0),
+    'supply': np.float64(10.0),
+    'pvt_res_price': 1.4375,
+    'previous_price': 2,
+}
+
+
+def test_buyer_heuristic():
+    result = buyer_heuristic(Price_decision_data)
+    assert Price_decision_data['avg_seller_min_price'] <= result <= Price_decision_data['avg_buyer_max_price']