The googlefinance.get from hebaochao

googlefinance.get's Introduction

https://s3.amazonaws.com/images.seroundtable.com/charts2-Google-1900px--1444997211.jpg

Google Finance GET

Getting the Financial data From Google Finance

Installation

Based on : https://github.com/pdevty/googlefinance-client-python

$ pip install googlefinance.get

$ pip install -i https://pypi.python.org/pypi googlefinance.get

Getting Codes

Default Setting is KRX Market's Info (South Korea Market)

>>> from googlefinance.get import get_code
    >>> get_code()
    >>> get_code('NASDAQ')
    >>> get_code('NYSE')

NASDAQ & NYSE is from the Nasdaq site's CSV download.

Getting Historical Financial Data

Getting the Only Single Company's Historical Financial Data

code = 'NASDAQ: code list'
period = '30d': 30 days (default), '1M' : Month , '1Y' : year
interval = 86400 : 1 day (default), 60 * integer (seconds)

>>> from googlefinance.get import get_datum
>>> df = get_datum('KRX:005930', period='2M'， interval =86400)
date        Open     High     Low      Close    Volume
2018-05-04  53000.0  53900.0  51800.0  51900.0  39290305
2018-05-08  52600.0  53200.0  51900.0  52600.0  22907823
2018-05-09  52600.0  52800.0  50900.0  50900.0  15914664

Getting Historical Financial Data

Insert the Code & Concat the DataFrame

>>> from googlefinance.get import get_data
>>> codes = ['KRX:005930','KOSDAQ:091990','NASDAQ:TSLA','NASDAQ:AMZN']
>>> df = get_data(codes, period='2M'， interval =86400)

date       Code        Open     High     Low      Close    Volume
2018-05-04  KRX:005930  53000.0  53900.0  51800.0  51900.0  39290305
2018-05-08  KRX:005930  52600.0  53200.0  51900.0  52600.0  22907823
2018-05-09  KRX:005930  52600.0  52800.0  50900.0  50900.0  15914664