diff --git a/Simulation.py b/Simulation.py
index 7963ac2..91837b0 100644
--- a/Simulation.py
+++ b/Simulation.py
@@ -1,3 +1,4 @@
+import time
 from math import nan
 import pandas as pd
 import plotly.graph_objects as go
@@ -68,7 +69,7 @@ class Simulation (HTS):
                 buy_line[i] = nan
                 buy_size.append(0)
             else:
-                buy_colors.append("#DA8913")
+                buy_colors.append("#00ced1")
                 buy_size.append(10 + (5 * buy_weight_line[i]))
 
         sell_colors = []
@@ -77,7 +78,7 @@ class Simulation (HTS):
                 sell_colors.append("#ffffff")
                 sell_line[i] = nan
             else:
-                sell_colors.append("#00ced1")
+                sell_colors.append("#D87D0F")
 
         # 그래프를 설정한다.
         buy_check = go.Scatter(x=data['date'], y=buy_line, mode='markers', name="buy", marker=dict(size=buy_size, color=buy_colors, line_width=0))
diff --git a/hts/BuySellChecker.py b/hts/BuySellChecker.py
index d012b4b..1388df1 100644
--- a/hts/BuySellChecker.py
+++ b/hts/BuySellChecker.py
@@ -222,7 +222,13 @@ class BuySellChecker:
                         return buy, weight
 
             # 3분선이 5분선이 돌파가 이전보다 높은 경우 매수
-            if data["avg3"][i - 1] < data["avg5"][i - 1] and data["avg3"][i] > data["avg5"][i]:
+            if data["slow_k"][i] < 20 and data["avg3"][i - 1] < data["avg5"][i - 1] and data["avg3"][i] > data["avg5"][i]:
+                buy = int((data["open"][i] + data["close"][i]) / 2)
+                weight = 1
+                return buy, weight
+
+            # 3분선이 5분선이 돌파가 이전보다 높은 경우 매수
+            if data["slow_k"][i] < 70 and data["avg3"][i - 1] < data["avg5"][i - 1] and data["avg3"][i] > data["avg5"][i]:
                 max_avg3 = 0
                 p_avg3 = 999999
                 for c in range(1, 50):
@@ -236,7 +242,8 @@ class BuySellChecker:
                         if i == 382 or i == 383:
                             if data["close"][i] != data["high"][i]:
                                 return -1, -1
-                        buy = int((data["open"][i] + data["close"][i]) / 2)
+                        #buy = int((data["open"][i] + data["close"][i]) / 2)
+                        buy = data["low"][i]
                         weight = 1
                         return buy, weight
 
@@ -444,12 +451,11 @@ class BuySellChecker:
             # 매도 분석
 
             # 10분선 위에서 3분선이 5분선을 하향 돌파 하는 경우 매도
-            if data["avg3"][i - 1] >= data["avg5"][i - 1] and data["avg3"][i] < data["avg5"][i]:
-                if min(data["avg3"][i], data["avg5"][i]) > data["avg10"][i]:
-                    if data["slow_k"][i] > 80:
-                        sell = int((data["high"][i] + data["low"][i]) / 2)
-                        weight = 1
-                        return sell, weight
+            if data["slow_k"][i - 1] > 60 and data["avg3"][i - 1] >= data["avg5"][i - 1] and data["avg3"][i] < data["avg5"][i]:
+                if max(data["avg3"][i], data["avg5"][i]) < data["avg10"][i]:
+                    sell = int((data["high"][i] + data["low"][i]) / 2)
+                    weight = 1
+                    return sell, weight
             """
             # 3분선이 5분 이상 5분선 위에 있다가 5분선 아래로 내려옴
             if i >= 381 + 5:
@@ -1303,8 +1309,8 @@ class BuySellChecker:
                 sell, weight = self.getSellPriceAndWeight_3000(data, last_index)
                 buy, weight = self.getBuyPriceAndWeight_3000(data, last_index)
             else:
-                sell, weight = self.getSellPriceAndWeight_15000(data, last_index)
-                buy, weight = self.getBuyPriceAndWeight_15000(data, last_index)
+                sell, weight = self.getBuyPriceAndWeight_3000(data, last_index)
+                buy, weight = self.getBuyPriceAndWeight_3000(data, last_index)
 
             bsLine['buy'] = [buy]
             bsLine['buy_weight'] = [weight]