diff --git a/hts/BuySellChecker.py b/hts/BuySellChecker.py
index 3b72f88..55b6e1c 100644
--- a/hts/BuySellChecker.py
+++ b/hts/BuySellChecker.py
@@ -106,7 +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 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])):
+                        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]
@@ -117,12 +117,24 @@ class BuySellChecker():
                             else:
                                 buy_count = MAX_BUY_PRICE / (2 * data['close'][i])
                             return buy_ymd, buy_price, buy_count, buy_cut, buy_type
+                            
+                        if BUY_LIST is None:
+                            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
                 """
 
                 # 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 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 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'
@@ -135,10 +147,24 @@ class BuySellChecker():
                                     buy_count = MAX_BUY_PRICE / (2 * data['close'][i])
                                 return buy_ymd, buy_price, buy_count, buy_cut, buy_type
 
+                        if BUY_LIST is None:
+                            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
+
+
         # 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]:
-            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])):
+            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 = 'trend_up'
                 buy_ymd = data['ymd'][i]
@@ -151,6 +177,18 @@ class BuySellChecker():
 
                 return buy_ymd, buy_price, buy_count, buy_cut, buy_type
 
+            if BUY_LIST is None:
+                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
 
     def getSellPriceAndWeight1(self, ticker, i, data, data_signal, BUY_LIST=None):