diff --git a/example/10-stock-data.py b/example/10-stock-data.py
index 4acc0cf..27c114a 100644
--- a/example/10-stock-data.py
+++ b/example/10-stock-data.py
@@ -1,11 +1,13 @@
 import logging
 import os
 import re
+import time
 from io import BytesIO
 
 import numpy as np
 import pandas as pd
 import requests as rq
+from tqdm import tqdm
 from bs4 import BeautifulSoup
 import pymysql
 from dotenv import load_dotenv
@@ -83,7 +85,7 @@ def get_ind_stock_data(biz_day):
     return pd.read_csv(BytesIO(down_ind_sector.content), encoding='EUC-KR')
 
 
-def get_total_stock_data(biz_day):
+def process_for_total_stock(biz_day):
     # 업종 분류 현황(코스피, 코스닥)
     sector_stk = get_stock_data(biz_day, 'stk')
     sector_ksq = get_stock_data(biz_day, 'ksq')
@@ -114,10 +116,11 @@ def get_total_stock_data(biz_day):
                              '시가총액', '기준일', 'EPS', '선행EPS', 'BPS', '주당배당금', '종목구분']]
     kor_ticker = kor_ticker.replace({np.nan: None})
     kor_ticker['기준일'] = pd.to_datetime(kor_ticker['기준일'])
-    return kor_ticker
+
+    save_ticker(kor_ticker)
 
 
-def save_db(ticker):
+def save_ticker(ticker):
     con = pymysql.connect(user=os.getenv('DB_USER'),
                           passwd=os.getenv('DB_PW'),
                           host=os.getenv('DB_HOST'),
@@ -142,7 +145,56 @@ def save_db(ticker):
     con.close()
 
 
+# WICS 기준 섹터정보 크롤링
+def process_for_wics(biz_day):
+    sector_code = [
+        'G25', 'G35', 'G50', 'G40', 'G10', 'G20', 'G55', 'G30', 'G15', 'G45'
+    ]
+
+    data_sector = []
+
+    # 모든 섹터에 대한 데이터 받아서 가공
+    for i in tqdm(sector_code):
+        url = f'''http://www.wiseindex.com/Index/GetIndexComponets?ceil_yn=0&dt={biz_day}&sec_cd={i}'''
+        data = rq.get(url).json()
+        data_pd = pd.json_normalize(data['list'])
+
+        data_sector.append(data_pd)
+
+        time.sleep(2)
+
+    kor_sector = pd.concat(data_sector, axis=0)
+    kor_sector = kor_sector[['IDX_CD', 'CMP_CD', 'CMP_KOR', 'SEC_NM_KOR']]
+    kor_sector['기준일'] = biz_day
+    kor_sector['기준일'] = pd.to_datetime(kor_sector['기준일'])
+    save_sector(kor_sector)
+
+
+def save_sector(sector):
+    con = pymysql.connect(user=os.getenv('DB_USER'),
+                          passwd=os.getenv('DB_PW'),
+                          host=os.getenv('DB_HOST'),
+                          port=int(os.getenv('DB_PORT')),
+                          db=os.getenv('DB_DB'),
+                          charset='utf8')
+
+    mycursor = con.cursor()
+    query = f"""
+        insert into kor_sector (IDX_CD, CMP_CD, CMP_KOR, SEC_NM_KOR, 기준일)
+        values (%s,%s,%s,%s,%s) as new
+        on duplicate key update
+        IDX_CD = new.IDX_CD, CMP_KOR = new.CMP_KOR, SEC_NM_KOR = new.SEC_NM_KOR
+    """
+
+    args = sector.values.tolist()
+
+    mycursor.executemany(query, args)
+    con.commit()
+
+    con.close()
+
+
 if __name__ == '__main__':
     latest_biz_day = get_latest_biz_day()
-    data = get_total_stock_data(latest_biz_day)
-    save_db(data)
+    process_for_total_stock(latest_biz_day)
+    process_for_wics(latest_biz_day)