diff --git a/hts/BuySellChecker.py b/hts/BuySellChecker.py
index 4bb371b..4024615 100644
--- a/hts/BuySellChecker.py
+++ b/hts/BuySellChecker.py
@@ -102,11 +102,39 @@ class BuySellChecker():
         if sum(data['trend_avg'][i - duration:i]) / duration < data['trend_avg'][i]:
             # 상승 트렌드
             if data_signal['avg20'][si] < data_signal['avg5'][si]:
+                """
+                # 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:
+                            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
+                """
 
                 # 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 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'
@@ -114,9 +142,9 @@ class BuySellChecker():
                                 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 / (2 * data['close'][i])
+                                    buy_count = MAX_BUY_PRICE / (1.5 * data['close'][i])
                                 else:
-                                    buy_count = MAX_BUY_PRICE / (3 * data['close'][i])
+                                    buy_count = MAX_BUY_PRICE / (2 * data['close'][i])
                         else:
                             buy_price = data['close'][i]
                             buy_type = 'golden'
@@ -124,14 +152,15 @@ class BuySellChecker():
                             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 / (2 * data['close'][i])
+                                buy_count = MAX_BUY_PRICE / (1.5 * data['close'][i])
                             else:
-                                buy_count = MAX_BUY_PRICE / (3 * data['close'][i])
+                                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]:
+                buy_price = data['close'][i]
                 buy_type = 'trend_up'
                 buy_ymd = data['ymd'][i]
                 if data['slow_k'][si] < 30:
@@ -141,20 +170,7 @@ class BuySellChecker():
                 else:
                     buy_count = MAX_BUY_PRICE / (2 * data['close'][i])
 
-            return buy_ymd, buy_price, buy_count, buy_cut, buy_type
-
-        # 방법 4:
-        if data['avg60'][i] < data['avg20'][i] < data['avg5'][i]:
-            buy_type = 'short_trade'
-            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