import requests
import pandas as pd

url = 'https://finance.naver.com/sise/sise_rise.naver?sosok=1'
res = pd.read_html(url, encoding='euc-kr')
df = res[1].dropna().head()

url = 'https://finance.naver.com/sise/sise_rise.naver'
res = pd.read_html(url, encoding='euc-kr')
df1 = res[1].dropna().head()

df = pd.concat([df,df1], axis=0)

df = df.sort_values('등락률', ascending=False)
df.head()

!pip install finance-datareader
!pip install mplfinance

import FinanceDataReader as fdr
import mplfinance as mpf

ticker = '058110'
df = fdr.DataReader(ticker, '2023-03-09')    
mpf.plot(df, type='candle', volume=True, style='starsandstripes', savefig=dict(fname=f'{ticker}.jpg'))
mpf.plot(df, type='candle', volume=True, style='starsandstripes')


url = 'https://launchpad.net/~mario-mariomedina/+archive/ubuntu/talib/+files'
ext = '0.4.0-oneiric1_amd64.deb -qO'
!wget $url/libta-lib0_$ext libta.deb
!wget $url/ta-lib0-dev_$ext ta.deb
!dpkg -i libta.deb ta.deb
!pip install ta-lib

import talib

df['RSI'] = talib.RSI(df['Close'], timeperiod=14)