[PYTHON/PYKRX] get_market_ohlcv_by_date 함수 : 특정 기간에서 특정 종목의 일별 시가/고가/저가/종가/거래량/등략률 리스트 구하기

■ get_market_ohlcv_by_date 함수를 사용해 특정 기간에서 특정 종목의 일별 시가/고가/저가/종가/거래량/등략률 리스트를 구하는 방법을 보여준다.

▶ main.py


import time
import pandas as pd

from pykrx import stock

fromDate = "20240603"
toDate   = "20240605"

tickerList = stock.get_market_ticker_list()

targetDataFrame = pd.DataFrame()

for ticker in tickerList[:4]:
    temporaryDataFrame = stock.get_market_ohlcv_by_date(fromdate = fromDate, todate = toDate, ticker = ticker)

    temporaryDataFrame = temporaryDataFrame.assign(종목코드 = ticker, 종목명 = stock.get_market_ticker_name(ticker))

    targetDataFrame = pd.concat([targetDataFrame, temporaryDataFrame], axis = 0)

    time.sleep(1)

targetDataFrame = targetDataFrame.reset_index()

print(targetDataFrame)

"""
   날짜          시가    고가    저가    종가  거래량     등락률 종목코드  종목명
0  2024-06-03    4830    4860    4795    4835  116202   0.207254  095570   AJ네트웍스
1  2024-06-04    4835    4860    4760    4780  113354  -1.137539  095570   AJ네트웍스
2  2024-06-05    4775    4850    4690    4755  161625  -0.523013  095570   AJ네트웍스
3  2024-06-03   15100   15130   14600   15080    3236  -0.132450  006840   AK홀딩스
4  2024-06-04   15080   15180   14910   15050    2825  -0.198939  006840   AK홀딩스
5  2024-06-05   15100   15100   14900   15000    1737  -0.332226  006840   AK홀딩스
6  2024-06-03    3575    3690    3575    3680  123946   3.081232  027410   BGF
7  2024-06-04    3640    3680    3610    3625   78611  -1.494565  027410   BGF
8  2024-06-05    3625    3635    3560    3580  153447  -1.241379  027410   BGF
9  2024-06-03  117700  119300  116800  118700   40602   1.888412  282330   BGF리테일
10 2024-06-04  117600  119600  117500  118700   23479   0.000000  282330   BGF리테일
11 2024-06-05  118700  120200  116900  117000   49524  -1.432182  282330   BGF리테일
"""

import time

import pandas as pd

from pykrx import stock

fromDate = "20240603"

toDate = "20240605"

tickerList = stock.get_market_ticker_list()

targetDataFrame = pd.DataFrame()

for ticker in tickerList[:4]:

temporaryDataFrame = stock.get_market_ohlcv_by_date(fromdate = fromDate, todate = toDate, ticker = ticker)

temporaryDataFrame = temporaryDataFrame.assign(종목코드 = ticker, 종목명 = stock.get_market_ticker_name(ticker))

targetDataFrame = pd.concat([targetDataFrame, temporaryDataFrame], axis = 0)

time.sleep(1)

targetDataFrame = targetDataFrame.reset_index()

print(targetDataFrame)

"""

날짜 시가 고가 저가 종가 거래량 등락률 종목코드 종목명

0 2024-06-03 4830 4860 4795 4835 116202 0.207254 095570 AJ네트웍스

1 2024-06-04 4835 4860 4760 4780 113354 -1.137539 095570 AJ네트웍스

2 2024-06-05 4775 4850 4690 4755 161625 -0.523013 095570 AJ네트웍스

3 2024-06-03 15100 15130 14600 15080 3236 -0.132450 006840 AK홀딩스

4 2024-06-04 15080 15180 14910 15050 2825 -0.198939 006840 AK홀딩스

5 2024-06-05 15100 15100 14900 15000 1737 -0.332226 006840 AK홀딩스

6 2024-06-03 3575 3690 3575 3680 123946 3.081232 027410 BGF

7 2024-06-04 3640 3680 3610 3625 78611 -1.494565 027410 BGF

8 2024-06-05 3625 3635 3560 3580 153447 -1.241379 027410 BGF

9 2024-06-03 117700 119300 116800 118700 40602 1.888412 282330 BGF리테일

10 2024-06-04 117600 119600 117500 118700 23479 0.000000 282330 BGF리테일

11 2024-06-05 118700 120200 116900 117000 49524 -1.432182 282330 BGF리테일

"""

▶ requirements.txt


certifi==2024.6.2
charset-normalizer==3.3.2
contourpy==1.2.1
cycler==0.12.1
DateTime==5.5
Deprecated==1.2.14
fonttools==4.53.0
idna==3.7
kiwisolver==1.4.5
matplotlib==3.9.0
multipledispatch==1.0.0
numpy==2.0.0
packaging==24.1
pandas==2.2.2
pillow==10.3.0
pykrx==1.0.45
pyparsing==3.1.2
python-dateutil==2.9.0.post0
pytz==2024.1
requests==2.32.3
six==1.16.0
tzdata==2024.1
urllib3==2.2.2
wrapt==1.16.0
xlrd==2.0.1
zope.interface==6.4.post2

certifi==2024.6.2

charset-normalizer==3.3.2

contourpy==1.2.1

cycler==0.12.1

DateTime==5.5

Deprecated==1.2.14

fonttools==4.53.0

idna==3.7

kiwisolver==1.4.5

matplotlib==3.9.0

multipledispatch==1.0.0

numpy==2.0.0

packaging==24.1

pandas==2.2.2

pillow==10.3.0

pykrx==1.0.45

pyparsing==3.1.2

python-dateutil==2.9.0.post0

pytz==2024.1

requests==2.32.3

six==1.16.0

tzdata==2024.1

urllib3==2.2.2

wrapt==1.16.0

xlrd==2.0.1

zope.interface==6.4.post2

※ pip install pykrx 명령을 실행했다.