diff --git a/hts/BuySellChecker.py b/hts/BuySellChecker.py
index 362a720..3b72f88 100644
--- a/hts/BuySellChecker.py
+++ b/hts/BuySellChecker.py
@@ -106,18 +106,7 @@ class BuySellChecker():
                 # 방법 1:
                 if max(data['volume_up'][i-180:i]) < data['volume_up'][i]:
                     if data_signal['slow_k'][si] < 70:
-                        if BUY_LIST is not None and 0 < len(BUY_LIST['buy_list']) and BUY_LIST['buy_list'][-1]['buy_price'] < data['close'][i]:
-                            buy_price = data['close'][i]
-                            buy_type = 'volume_up'
-                            buy_ymd = data['ymd'][i]
-                            if data['slow_k'][si] < 30:
-                                buy_count = MAX_BUY_PRICE / (1 * data['close'][i])
-                            elif data['slow_k'][si] < 50:
-                                buy_count = MAX_BUY_PRICE / (1.5 * data['close'][i])
-                            else:
-                                buy_count = MAX_BUY_PRICE / (2 * data['close'][i])
-                            return buy_ymd, buy_price, buy_count, buy_cut, buy_type
-                        else:
+                        if ((BUY_LIST is None) or (BUY_LIST is not None and 0 < len(BUY_LIST['buy_list']) and BUY_LIST['buy_list'][-1]['buy_price'] < data['close'][i])):
                             buy_price = data['close'][i]
                             buy_type = 'volume_up'
                             buy_ymd = data['ymd'][i]
@@ -133,7 +122,7 @@ class BuySellChecker():
                 # 방법 2:
                 if data['avg480'][i] < data['avg120'][i] < data['avg60'][i] < data['avg20'][i] < data['avg5'][i] < data['close'][i]:
                     if data['avg240'][i] < min(data['avg5'][i], data['avg20'][i], data['avg60'][i], data['avg120'][i]):
-                        if BUY_LIST is not None and 0 < len(BUY_LIST['buy_list']) and data['ymd'][i] < BUY_LIST['buy_list'][-1]['buy_ymd'] + timedelta(minutes=10):
+                        if ((BUY_LIST is None) or (BUY_LIST is not None and 0 < len(BUY_LIST['buy_list']) and data['ymd'][i] < BUY_LIST['buy_list'][-1]['buy_ymd'] + timedelta(minutes=10))):
                             if BUY_LIST['buy_list'][-1]['buy_price'] < data['close'][i]:
                                 buy_price = data['close'][i]
                                 buy_type = 'golden'
@@ -144,32 +133,23 @@ class BuySellChecker():
                                     buy_count = MAX_BUY_PRICE / (1.5 * data['close'][i])
                                 else:
                                     buy_count = MAX_BUY_PRICE / (2 * data['close'][i])
-                        else:
-                            buy_price = data['close'][i]
-                            buy_type = 'golden'
-                            buy_ymd = data['ymd'][i]
-                            if data['slow_k'][si] < 30:
-                                buy_count = MAX_BUY_PRICE / (1 * data['close'][i])
-                            elif data['slow_k'][si] < 50:
-                                buy_count = MAX_BUY_PRICE / (1.5 * data['close'][i])
-                            else:
-                                buy_count = MAX_BUY_PRICE / (2 * data['close'][i])
-                        return buy_ymd, buy_price, buy_count, buy_cut, buy_type
+                                return buy_ymd, buy_price, buy_count, buy_cut, buy_type
 
         # 방법 3:
         #if sum(data['avg480'][i - 5:i]) < data['avg480'][i] and sum(data['avg60'][i - 5:i]) < data['avg60'][i] and sum(data['avg20'][i - 5:i]) < data['avg20'][i] and sum(data['avg5'][i - 5:i]) < data['avg5'][i]:
         if data['avg480'][i] < data['avg20'][i] < data['avg5'][i] and data['avg60'][i] < data['avg20'][i] < data['avg5'][i]:
-            buy_price = data['close'][i]
-            buy_type = 'trend_up'
-            buy_ymd = data['ymd'][i]
-            if data['slow_k'][si] < 30:
-                buy_count = MAX_BUY_PRICE / (1 * data['close'][i])
-            elif data['slow_k'][si] < 50:
-                buy_count = MAX_BUY_PRICE / (1.5 * data['close'][i])
-            else:
-                buy_count = MAX_BUY_PRICE / (2 * data['close'][i])
+            if ((BUY_LIST is None) or (BUY_LIST is not None and 0 < len(BUY_LIST['buy_list']) and BUY_LIST['buy_list'][-1]['buy_price'] < data['close'][i])):
+                buy_price = data['close'][i]
+                buy_type = 'trend_up'
+                buy_ymd = data['ymd'][i]
+                if data['slow_k'][si] < 30:
+                    buy_count = MAX_BUY_PRICE / (1 * data['close'][i])
+                elif data['slow_k'][si] < 50:
+                    buy_count = MAX_BUY_PRICE / (1.5 * data['close'][i])
+                else:
+                    buy_count = MAX_BUY_PRICE / (2 * data['close'][i])
 
-            return buy_ymd, buy_price, buy_count, buy_cut, buy_type
+                return buy_ymd, buy_price, buy_count, buy_cut, buy_type
 
         return buy_ymd, buy_price, buy_count, buy_cut, buy_type