diff --git a/streamlit-quant/strategy/all-value.py b/streamlit-quant/strategy/all-value.py
index 16be363..38b945a 100644
--- a/streamlit-quant/strategy/all-value.py
+++ b/streamlit-quant/strategy/all-value.py
@@ -1,13 +1,13 @@
 import matplotlib.pyplot as plt
 import numpy as np
 import seaborn as sns
-
-import quantcommon as qc
+import quantcommon
 
 #가치주 포트폴리오. PER, PBR, PCR, PSR, DY
 def get_all_value_top(count):
-    ticker_list = qc.QuantCommon().get_ticker_list()
-    value_list = qc.QuantCommon().get_value_list()
+    qc = quantcommon.QuantCommon()
+    ticker_list = qc.get_ticker_list()
+    value_list = qc.get_value_list()
 
     # 가치 지표가 0이하인 경우 nan으로 변경
     value_list.loc[value_list['값'] <= 0, '값'] = np.nan
diff --git a/streamlit-quant/strategy/momentum.py b/streamlit-quant/strategy/momentum.py
index 3baa50b..05439db 100644
--- a/streamlit-quant/strategy/momentum.py
+++ b/streamlit-quant/strategy/momentum.py
@@ -29,8 +29,9 @@ def print_graph(values):
 # strategy/momentum에 구현
 # 모멘텀 포트폴리오. 최근 12개월 수익률이 높은 주식
 def get_momentum_top(count):
-    ticker_list = quantcommon.QuantCommon().get_ticker_list()
-    price_list = quantcommon.QuantCommon().get_price_list(interval_month=12)
+    qc = quantcommon.QuantCommon()
+    ticker_list = qc.get_ticker_list()
+    price_list = qc.get_price_list(interval_month=12)
 
     price_pivot = price_list.pivot(index='날짜', columns='종목코드', values='종가')
 
diff --git a/streamlit-quant/strategy/value.py b/streamlit-quant/strategy/value.py
index efb7a1d..fd9c2c2 100644
--- a/streamlit-quant/strategy/value.py
+++ b/streamlit-quant/strategy/value.py
@@ -1,11 +1,12 @@
-import pandas as pd
 import numpy as np
-import quantcommon as qc
+
+import quantcommon
 
 #가치주 포트폴리오. PER, PBR이 낮은 회사 20개
 def get_value_top(count):
-    ticker_list = qc.QuantCommon().get_ticker_list()
-    value_list = qc.QuantCommon().get_value_list()
+    qc = quantcommon.QuantCommon()
+    ticker_list = qc.get_ticker_list()
+    value_list = qc.get_value_list()
 
     # 가치 지표가 0이하인 경우 nan으로 변경
     value_list.loc[value_list['값'] <= 0, '값'] = np.nan