diff --git a/Bithumb_minute.py b/Bithumb_minute.py
index 2e69c3d..c7a4bc7 100644
--- a/Bithumb_minute.py
+++ b/Bithumb_minute.py
@@ -711,7 +711,8 @@ class Bithumb_minute(HTS):
                     # order: ('bid', 'BTC', 'C0101000000322993432', 'KRW')
                     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)
 
-                    log_df.append({"type": "buy", "datetime": datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "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}, ignore_index=True)
+                    value = {"type": "buy", "datetime": datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "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}
+                    log_df = log_df.append(value, ignore_index=True)
                     log_df['datetime'] = pd.to_datetime(log_df['datetime'], unit='s')
                     log_df.set_index('datetime', inplace=True)
                     log_df.to_csv(log_filename, index=False)
@@ -726,8 +727,8 @@ class Bithumb_minute(HTS):
                     count = tmp[0]
                     order = self.bithumb.sell_limit_order(ticker, bsLine['sell'][len(bsLine['sell'])-1], count)
                     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)
-
-                    log_df.append({"type": "buy", "datetime": datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "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}, ignore_index=True)
+                    value = {"type": "buy", "datetime": datetime.now().strftime('%Y-%m-%d %H:%M:%S'), "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}
+                    log_df = log_df.append(value, ignore_index=True)
                     log_df['datetime'] = pd.to_datetime(log_df['datetime'], unit='s')
                     log_df.set_index('datetime', inplace=True)
                     log_df.to_csv(log_filename, index=False)