diff --git a/Bithumb_minute.py b/Bithumb_minute.py
index 59f8b7f..6db2b05 100644
--- a/Bithumb_minute.py
+++ b/Bithumb_minute.py
@@ -578,10 +578,10 @@ class Bithumb_minute(HTS):
             log_filename = os.path.join(RESOURCE_PATH, 'order', "bithumb"+"_"+today + '.log')
             if os.path.exists(log_filename):
                 log_df = pd.read_csv(log_filename)
-                log_df.columns = ["type", "order0", "order1", "order2", "order3", "slow_k", "price", "count", "datetime"]
+                log_df.columns = ["type", "order0", "order1", "order2", "order3", "slow_k_30", "slow_k_5", "price", "count", "datetime"]
                 log_df["datetime"] = pd.to_datetime(log_df["datetime"], format='%Y-%m-%d %H:%M:%S')
             else:
-                log_df = pd.DataFrame(columns=["type", "datetime", "order0", "order1", "order2", "order3", "slow_k", "price", "count"])
+                log_df = pd.DataFrame(columns=["type", "datetime", "order0", "order1", "order2", "order3", "slow_k_30", "slow_k_5", "price", "count"])
             log_df['datetime'] = pd.to_datetime(log_df['datetime'], unit='s')
             log_df.set_index('datetime', inplace=True)
 
@@ -595,8 +595,8 @@ class Bithumb_minute(HTS):
                     order = self.bithumb.buy_limit_order(ticker, bsLine['buy'][len(bsLine['buy']) - 1], count)
                     # order: ('bid', 'BTC', 'C0101000000322993432', 'KRW')
                     if len(stock1['close']) > 0:
-                        print(ticker, "/", datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "/", stock1['close'][len(stock1['close']) - 1], "/ BUY / ", stock1['slow_k'][len(stock1['slow_k']) - 1], "/", bsLine['buy'][len(bsLine['buy']) - 1], "/", count)
-                    value = {"type": "BUY", "order0": order[0], "order1": order[1], "order2": order[2], "order3": order[3], "slow_k": stock1['slow_k'][len(stock1['slow_k']) - 1], "price": bsLine['buy'][len(bsLine['buy']) - 1], "count": count}
+                        print(ticker, "/", datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "/", stock1['close'][len(stock1['close']) - 1], "/ BUY / ", stock2['slow_k'][len(stock2['slow_k']) - 1], "/", stock1['slow_k'][len(stock1['slow_k']) - 1], "/", bsLine['buy'][len(bsLine['buy']) - 1], "/", count)
+                    value = {"type": "BUY", "order0": order[0], "order1": order[1], "order2": order[2], "order3": order[3], "slow_k_30": stock2['slow_k'][len(stock2['slow_k']) - 1], "slow_k_5": stock1['slow_k'][len(stock1['slow_k']) - 1], "price": bsLine['buy'][len(bsLine['buy']) - 1], "count": count}
                     datetime_value = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
                     value_df = pd.DataFrame(value, index=[datetime_value])
 
@@ -617,9 +617,9 @@ class Bithumb_minute(HTS):
                         return
                     count = tmp[0]
                     order = self.bithumb.sell_limit_order(ticker, bsLine['sell'][len(bsLine['sell'])-1], count)
-                    if len(stock1['close'])>0:
-                        print(ticker, "/", datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "/", stock1['close'][len(stock1['close']) - 1], "/ SELL / ", stock1['slow_k'][len(stock1['slow_k']) - 1], "/", bsLine['sell'][len(bsLine['sell']) - 1], "/", count)
-                    value = {"type": "SELL", "order0": order[0], "order1": order[1], "order2": order[2], "order3": order[3], "slow_k": stock1['slow_k'][len(stock1['slow_k']) - 1], "price": bsLine['buy'][len(bsLine['buy']) - 1], "count": count}
+                    if len(order) > 2 and len(stock1['close'])>0:
+                        print(ticker, "/", datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "/", stock1['close'][len(stock1['close']) - 1], "/ SELL / ", stock2['slow_k'][len(stock2['slow_k']) - 1], "/", stock1['slow_k'][len(stock1['slow_k']) - 1], "/", bsLine['sell'][len(bsLine['sell']) - 1], "/", count)
+                    value = {"type": "SELL","order0": order[0], "order1": order[1], "order2": order[2], "order3": order[3], "slow_k_30": stock2['slow_k'][len(stock2['slow_k']) - 1], "slow_k_5": stock1['slow_k'][len(stock1['slow_k']) - 1], "price": bsLine['sell'][len(bsLine['sell']) - 1], "count": count}
                     datetime_value = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
                     value_df = pd.DataFrame(value, index=[datetime_value])