diff --git a/hts/BuySellChecker.py b/hts/BuySellChecker.py
index ec89e7e..1905ef5 100644
--- a/hts/BuySellChecker.py
+++ b/hts/BuySellChecker.py
@@ -1006,8 +1006,7 @@ class BuySellChecker:
                     bsLine['buy'][i] = buy
                     bsLine['buy_weight'][i] = 10.0
 
-                if not (data['avg120'][i - 1] < data['avg60'][i - 1] < data['avg20'][i - 1] < data['avg5'][i - 1]) and (
-                        data['avg120'][i] < data['avg60'][i] < data['avg20'][i] < data['avg5'][i]):
+                if not (data['avg120'][i - 1] < data['avg60'][i - 1] < data['avg20'][i - 1] < data['avg5'][i - 1]) and (data['avg120'][i] < data['avg60'][i] < data['avg20'][i] < data['avg5'][i]):
                     buy = data['low'][i]
                     data['buy'][i] = buy
                     bsLine['buy'][i] = buy
@@ -1116,19 +1115,16 @@ class BuySellChecker:
                         ):
                             check = False
                             break
-                    if check and 99 < sum(data['disparity_avg5'][i - 4:i + 1]) / 5 < 100 and 99 < sum(
-                            data['disparity_avg60'][i - 4:i + 1]) / 5 < 100:
-                        buy = data['low'][i]
-                        data['buy'][i] = buy
-                        bsLine['buy'][i] = buy
-                        bsLine['buy_weight'][i] = 3.0
+                    if check and 99 < sum(data['disparity_avg5'][i - 4:i + 1]) / 5 < 100 and 99 < sum(data['disparity_avg60'][i - 4:i + 1]) / 5 < 100:
+                        if data['slow_k'][i] < 30:
+                            buy = data['low'][i]
+                            data['buy'][i] = buy
+                            bsLine['buy'][i] = buy
+                            bsLine['buy_weight'][i] = 3.0
 
                     check = True
                     for l in range(i - 2, i):
-                        if (
-                                data['gradients_avg60'][l - 1] > data['gradients_avg60'][l] or
-                                data['gradients_low'][l - 1] > data['gradients_low'][l]
-                        ):
+                        if (data['gradients_avg60'][l - 1] > data['gradients_avg60'][l] or data['gradients_low'][l - 1] > data['gradients_low'][l]):
                             check = False
                             break
                     if (
@@ -1137,10 +1133,11 @@ class BuySellChecker:
                             -0.0012 < data['gradients_avg60'][i] < 0 and
                             98.90 < data['disparity_avg5'][i] < 101
                     ):
-                        buy = data['low'][i]
-                        data['buy'][i] = buy
-                        bsLine['buy'][i] = buy
-                        bsLine['buy_weight'][i] = 5.0
+                        if data['slow_k'][i] < 30:
+                            buy = data['low'][i]
+                            data['buy'][i] = buy
+                            bsLine['buy'][i] = buy
+                            bsLine['buy_weight'][i] = 5.0
 
                 check = True
                 for l in range(i - 6, i):
@@ -1155,10 +1152,11 @@ class BuySellChecker:
                         check = False
                         break
                 if check and 99 < min(data['disparity_avg5'][i - 6:i]) < max(data['disparity_avg5'][i - 6:i]) < 101:
-                    buy = data['low'][i]
-                    data['buy'][i] = buy
-                    bsLine['buy'][i] = buy
-                    bsLine['buy_weight'][i] = 5.0
+                    if data['slow_k'][i] < 30:
+                        buy = data['low'][i]
+                        data['buy'][i] = buy
+                        bsLine['buy'][i] = buy
+                        bsLine['buy_weight'][i] = 5.0
 
                 check = True
                 for l in range(i - 3, i):
@@ -1173,10 +1171,11 @@ class BuySellChecker:
                         check = False
                         break
                 if check:
-                    buy = data['low'][i]
-                    data['buy'][i] = buy
-                    bsLine['buy'][i] = buy
-                    bsLine['buy_weight'][i] = 5.0
+                    if data['slow_k'][i] < 30:
+                        buy = data['low'][i]
+                        data['buy'][i] = buy
+                        bsLine['buy'][i] = buy
+                        bsLine['buy_weight'][i] = 5.0
 
                 if (data['disparity'][i] < 5 and 99.0 < data['disparity_avg60'][i] < 99.1 and
                         -0.009 < data['gradients_avg60'][i] < -0.008 and 0.015 < data['gradients_avg20'][i] < 0.016 and
@@ -1191,19 +1190,21 @@ class BuySellChecker:
                             check = False
                             break
                     if check:
-                        buy = data['low'][i]
-                        data['buy'][i] = buy
-                        bsLine['buy'][i] = buy
-                        bsLine['buy_weight'][i] = 5.0
-
-                if data['macd'][i] < -4000:
-                    if data['macd'][i - 1] < data['macd'][i]:
-                        if not self.notBuy(data, i) and data['slow_k'][i] < 30:
+                        if data['slow_k'][i] < 30:
                             buy = data['low'][i]
                             data['buy'][i] = buy
                             bsLine['buy'][i] = buy
                             bsLine['buy_weight'][i] = 5.0
 
+                if data['macd'][i] < -4000:
+                    if data['macd'][i - 1] < data['macd'][i]:
+                        if not self.notBuy(data, i) and data['slow_k'][i] < 30:
+                            if data['slow_k'][i] < 30:
+                                buy = data['low'][i]
+                                data['buy'][i] = buy
+                                bsLine['buy'][i] = buy
+                                bsLine['buy_weight'][i] = 5.0
+
                 # macd 이전에 없던 바닥인 경우 상승할 찰나 매수
                 if data['macds'][i - 1] < min(data['macds'][:i - 1]):
                     if data['macds'][i - 1] < data['macds'][i]:
@@ -1221,22 +1222,25 @@ class BuySellChecker:
                         data['slow_k'][i] < 11
                 ):
                     if not self.notBuy(data, i):
+                        if data['slow_k'][i] < 30:
+                            buy = data['low'][i]
+                            data['buy'][i] = buy
+                            bsLine['buy'][i] = buy
+                            bsLine['buy_weight'][i] = 5.0
+
+                if data['slow_k'][i] < 20 and data['slow_k'][i - 1] < data['slow_d'][i - 1] and data['slow_d'][i] < data['slow_k'][i]:
+                    if data['slow_k'][i] < 30:
                         buy = data['low'][i]
                         data['buy'][i] = buy
                         bsLine['buy'][i] = buy
-                        bsLine['buy_weight'][i] = 5.0
-
-                if data['slow_k'][i] < 20 and data['slow_k'][i - 1] < data['slow_d'][i - 1] and data['slow_d'][i] < data['slow_k'][i]:
-                    buy = data['low'][i]
-                    data['buy'][i] = buy
-                    bsLine['buy'][i] = buy
-                    bsLine['buy_weight'][i] = 7.0
+                        bsLine['buy_weight'][i] = 7.0
 
                 if not (data['avg120'][i - 1] < data['avg60'][i - 1] < data['avg20'][i - 1] < data['avg5'][i - 1]) and (data['avg120'][i] < data['avg60'][i] < data['avg20'][i] < data['avg5'][i]):
-                    buy = data['low'][i]
-                    data['buy'][i] = buy
-                    bsLine['buy'][i] = buy
-                    bsLine['buy_weight'][i] = 10.0
+                    if data['slow_k'][i] < 30:
+                        buy = data['low'][i]
+                        data['buy'][i] = buy
+                        bsLine['buy'][i] = buy
+                        bsLine['buy_weight'][i] = 10.0
 
         return bsLine, data