diff --git a/stock/analysis/AnalyzerSqlite.py b/stock/analysis/AnalyzerSqlite.py
index 8171ec7..b281ea8 100644
--- a/stock/analysis/AnalyzerSqlite.py
+++ b/stock/analysis/AnalyzerSqlite.py
@@ -583,13 +583,6 @@ class AnalyzerSqlite:
                         dir_name = "daily_final_candidate"
                         log = str(count) + "_" + dir_name + "_"
                         self.writeFile(dir_name, CODE, NAME, top, stock_daily, log)
-
-                    check = self.common.buy_stock_candidate(param, stock_daily)
-                    if check:
-                        count += 1
-                        dir_name = "daily_bol_candidate"
-                        log = str(count) + "_" + dir_name + "_"
-                        self.writeFile(dir_name, CODE, NAME, top, stock_daily, log)
         return
 
     def get_moving_average(self, stock):
diff --git a/stock/analysis/Common.py b/stock/analysis/Common.py
index a9ae161..21a710a 100644
--- a/stock/analysis/Common.py
+++ b/stock/analysis/Common.py
@@ -569,64 +569,9 @@ class Common:
         check = False
         if len(stock['trend']) < 10:
             return check
-        for i in range(10):
-            if stock['rsi'][i] is None:
-                return check
-        for i in range(10):
-            if stock['slow_k'][i] is None:
-                return check
 
-
-        if (stock['close'][1] is None or stock['close'][0] is None or stock['rsi'][1] is None or stock['rsi'][0] is None):
-            return check
-
-        rise_rate = param['bull'][0] / (param['bull'][0]+param['bear'][0]+param['bull'][0])
-        if (
-                (stock['macd'][1] < stock['macd'][0] and stock['rsi'][0] < 80) or
-                (stock['rsi'][1] < stock['rsi'][0] and np.min(stock['rsi'][:3]) < 35) or
-                (stock['rsi'][0] < 35) or
-                0.7 <= rise_rate
-        ):
-            # avg300 상승
-            if stock['avg300'][1] < stock['avg300'][0]:
-                # avg5 < trend
-                if stock['avg5'][0] < stock['trend'][0]:
-                    # avg5 이전 3개 봉 위
-                    if np.max(stock['avg5'][:3]) < stock['avg5'][0]:
-                        buy_type = "trend"
-                        check = True
-
-            # 상승 추세일 때
-            if (stock['macd'][1] < stock['macd'][0] and stock['macds'][0] < stock['macd'][0] or
-                    stock['rsi'][1] < stock['rsi'][0]):
-
-                # rsi가 50을 상향 돌파할 때
-                if 0.9 <= rise_rate and np.max(stock['rsi'][:5]) < 50 and 50 < stock['rsi'][0]:
-                    buy_type = "rsi"
-                    check = True
-
-                # golden & 거래량
-                if stock['avg120'][0] < stock['avg60'][0] < stock['avg20'][0] < stock['avg5'][0]:
-                    buy_type = "golden"
-                    check = True
-
-            # rsi가 30보다 작은 후에 상승일 때
-            if np.min(stock['rsi'][:5]) < 30:
-                if stock['rsi'][1] < stock['rsi'][0]:
-                    buy_type = "rsi"
-                    check = True
-
-        if not(stock['rsi'][1] < stock['rsi'][0] and stock['rsis'][0] < stock['rsi'][0]):
-            check = False
-
-        return check
-
-    def buy_stock_candidate(self, param, stock):
-        check = False
-        if len(stock['trend']) < 10:
-            return check
-
-        if np.average(stock['trend'][1:21]) < stock['trend'][0] and np.average(stock['trend_k'][1:21]) < stock['trend_k'][0]:
+        if np.average(stock['trend'][1:21]) < stock['trend'][0] and np.average(stock['trend_k'][1:21]) < \
+            stock['trend_k'][0]:
             # 1일 트렌드가 시그널 위로 상승 돌파 할 때
             if stock['trend_k'][1] <= stock['trend_s'][1] and stock['trend_s'][0] < stock['trend_k'][0]:
 
@@ -637,19 +582,22 @@ class Common:
 
             # 추세가 상승 중일 때 매수의 관점 (소추세가 하락해 있을 때 매수의 기회)
             # macd가 0 이하에서 macd 매수 체크 (macd가 macds를 상승 돌파)
-            if stock['macd'][1] < stock['macds'][1] and stock['macds'][0] < stock['macd'][0] and stock['macd'][0] < np.min(stock['macd'][1:]) * 0.5:
+            if stock['macd'][1] < stock['macds'][1] and stock['macds'][0] < stock['macd'][0] and stock['macd'][
+                0] < np.min(stock['macd'][1:]) * 0.5:
                 if stock['avg120'][0] < stock['trend_k'][0]:
                     # slow_k가 50이하에서 상승 중이고 slow_d를 상승 돌파 할 때
                     check = True
 
             # slow_k가 10이하에서 상승 중이고 slow_d를 상승 돌파 할 때
             if stock['slow_k'][0] is not None and stock['slow_k'][1] is not None:
-                if stock['slow_k'][1] < stock['slow_d'][1] and stock['slow_d'][0] < stock['slow_k'][0] and stock['slow_k'][0] < 10:
+                if stock['slow_k'][1] < stock['slow_d'][1] and stock['slow_d'][0] < stock['slow_k'][0] and \
+                    stock['slow_k'][0] < 10:
                     if stock['avg120'][0] < stock['trend_k'][0]:
                         check = True
 
         return check
 
+
     # 낙폭 과대 체크
     def check_excessive_drop(self, stock):
         c_index = 200