diff --git a/HTS_etf.py b/HTS_etf.py
index 2f898c8..8ed33b7 100644
--- a/HTS_etf.py
+++ b/HTS_etf.py
@@ -1,5 +1,6 @@
 import time
 import os
+import sqlite3
 from datetime import datetime, timedelta
 
 from hts.HTS import HTS
@@ -35,6 +36,19 @@ class HTS_etf (HTS):
 
         return
 
+    def connect2StockDB(self):
+
+        self.conn_stock = sqlite3.connect(os.path.join(self.RESOURCE_PATH, "stock.db"))
+        self.cursor_stock = self.conn_stock.cursor()
+
+        return
+
+    def disconnectStockDB(self):
+
+        self.cursor_stock.close()
+        self.conn_stock.close()
+        return
+
     def sellStocks(self, stock_code=None, bs_sell_price=None):
         jangoDic = self.requstJango()
         if jangoDic and len(jangoDic.keys()) > 0:
@@ -113,6 +127,19 @@ class HTS_etf (HTS):
         count = int(MAX_BUY_PRICE / price)
         return count
 
+    def getSlowK(self, stock_code):
+        slow_k_week, slow_k_month = -1, -1
+        self.cursor_stock.execute('select stochastic_slow_k, max(ymd) from stock_analysis_weekly where code=? group by 1 order by ymd desc', (stock_code, ))
+        items = self.cursor_stock.fetchone()
+        if len(items)>0:
+            slow_k_week = items[0]
+        self.cursor_stock.execute('select stochastic_slow_k, max(ymd) from stock_analysis_monthly where code=? group by 1 order by ymd desc', (stock_code, ))
+        items = self.cursor_stock.fetchone()
+        if len(items)>0:
+            slow_k_month = items[0]
+
+        return slow_k_week, slow_k_month
+
     def buyRealTime(self, today, stocks, analyzed_day=1000):
 
         print ("START...")
@@ -134,6 +161,10 @@ class HTS_etf (HTS):
 
                     time.sleep(0.1)
 
+                    slow_k_week, slow_k_month = self.getSlowK(stock['stock_code'])
+                    if slow_k_week < 0 or 20 < slow_k_week or  slow_k_month < 0 or 20 < slow_k_month:
+                        continue
+
                     try:
                         # 데이터를 가지고 온다.
                         result = self.getRealTime(stock['stock_code'], today, LAST_DATA[stock['stock_code']])
@@ -297,6 +328,7 @@ if __name__ == "__main__":
 
     hts = HTS_etf(RESOURCE_PATH)
     hts.connect2DB("hts.db")
+    hts.connect2StockDB()
 
     today_str = today.strftime('%Y%m%d')
     hts.buyRealTime(today_str, stocks, analyzed_day=1000)
@@ -304,5 +336,6 @@ if __name__ == "__main__":
     db_filename = os.path.join(RESOURCE_PATH, "hts.db")
     hts.insertStockData(stocks, today)
 
+    hts.disconnectStockDB()
     hts.disconnect()
     print ("done...")
diff --git a/HTS_stocks.py b/HTS_stocks.py
index b7972b4..0dd8793 100644
--- a/HTS_stocks.py
+++ b/HTS_stocks.py
@@ -46,6 +46,7 @@ class HTS_Stocks (HTS):
 
         self.conn_stock = sqlite3.connect(os.path.join(self.RESOURCE_PATH, "stock.db"))
         self.cursor_stock = self.conn_stock.cursor()
+
         return
 
     def disconnectStockDB(self):
@@ -115,8 +116,22 @@ class HTS_Stocks (HTS):
 
         return all_stocks, valid_company
 
+    def getSlowK(self, stock_code):
+        slow_k_week, slow_k_month = -1, -1
+        self.cursor_stock.execute('select stochastic_slow_k, max(ymd) from stock_analysis_weekly where code=? group by 1 order by ymd desc', (stock_code, ))
+        items = self.cursor_stock.fetchone()
+        if len(items)>0:
+            slow_k_week = items[0]
+        self.cursor_stock.execute('select stochastic_slow_k, max(ymd) from stock_analysis_monthly where code=? group by 1 order by ymd desc', (stock_code, ))
+        items = self.cursor_stock.fetchone()
+        if len(items)>0:
+            slow_k_month = items[0]
+
+        return slow_k_week, slow_k_month
+
     def buyRealTime(self, today, n = 200):
 
+        a,b = self.getSlowK("001430")
         print ("START...")
         THIS_TIME = datetime.now()
 
@@ -144,6 +159,10 @@ class HTS_Stocks (HTS):
                         continue
                     print(idx, stock_code, stock_name, ", CODE: ", stock_code, ", NAME: ", stock_name)
 
+                    slow_k_week, slow_k_month = self.getSlowK(stock_code)
+                    if slow_k_week < 0 or 20 < slow_k_week or  slow_k_month < 0 or 20 < slow_k_month:
+                        continue
+
                     stock = self.stockStatus.fetchLastData(self.cursor_stock, stock_code, n)
                     try:
                         self.getRealTime_DailyCheck(today, stock_code, stock)