`import ctypes
import win32com.client
import pandas as pd
import time

t = time.localtime()
if 9 <= t.tm_hour <= 16:
sleep_time = 7 / (10 - 2)
else:
sleep_time = 15 / (20 - 2)

codeMgr = win32com.client.Dispatch('CpUtil.CpCodeMgr')

def codeToName(code):
codeName = win32com.client.Dispatch('CpUtil.CpStockCode')
return codeName.CodeToName(code)

def get_Chart(code):
codeChart = win32com.client.Dispatch('CpSysDib.StockChart')

codeChart.setInputValue(0, code)
codeChart.setInputValue(1, ord('2'))
codeChart.setInputValue(4, 100)
codeChart.setInputValue(5, [0, 5])
codeChart.setInputValue(6, ord('D'))

codeChart.BlockRequest()
chart_num = codeChart.GetHeaderValue(3)

chart = []
for i in range(chart_num):
	data = (codeChart.GetDataValue(0, i), codeChart.GetDataValue(1, i))  # DATE - Price
	chart.append(data)

return chart

kospi = pd.DataFrame()
kospi.index.name = 'DATE'

kosdaq = pd.DataFrame()
kosdaq.index.name = 'DATE'

KOSPI 코스피 종목

kospi_Codes = codeMgr.GetStockListByMarket(1)

for code in kospi_Codes:
name = codeToName(code)
print(code, name)
chart = get_Chart(code)

for date, price in chart:
	kospi.at[date, name] = price
time.sleep(sleep_time)

KOSDAQ 코스닥 종목

kosdaq_Codes = codeMgr.GetStockListByMarket(2)

for code in kosdaq_Codes:
name = codeToName(code)
print(code, name)
chart = get_Chart(code)

for date, price in chart:
	kosdaq.at[date, name] = price
time.sleep(0.1)

kospi.to_csv('./KOSPI.csv', encoding='utf-8-sig', index=False)
kosdaq.to_csv('./KOSDAQ.csv', encoding='utf-8-sig', index=False)
`