datawrestler/after-hours

Obtain pre market and after hours stock prices for a given symbol

Read me for afterhours package

Python module afterhours can retrieve pre-market and after-hours trading prices from Nasdaq for a given stock symbol

-Created by Jason Lewris

-License: The MIT License

-Developer Home Page: 'https://github.com/datawrestler'

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Dependencies

• Python (>=2.6 or >= 3.5)
• beautifulsoup4 (>= 4.6.0)
• requests (>= 2.18.4)
• pandas (>= 0.20.3)
• lxml (>= 4.1.0)

Valuable Links

• Official source code repo: https://github.com/datawrestler/after-hours
• Issue tracking: https://github.com/datawrestler/after-hours/issues
• Download releases: https://pypi.python.org/pypi/afterhours

Method Overview

Method Name	Description
AH.getdata(datatype='highprice)	Returns high market price
AH.getdata(datatype='lowprice')	Returns low market price
AH.getdata(datatype='volume')	Returns total market volume
AH.getdata(datatype='hightime')	Returns datetime of high price
AH.getdata(datatype='lowtime')	Returns datetime of low price
AH.getdata(datatype='mktclose')	Returns market close price
AH.secure_all()	Returns dataframe with all activity
AH.run_every()	Updates all data points continuosly

Installation

Installation is done using pip install:

pip install afterhours

Alternative installation can be done by downloading the source files directly from github, navigating to the directory through terminal and running the following:

python setup.py install

Note

The source file can be downloaded here: https://github.com/datawrestler/after-hours/tarball/0.2.1

After installation, the package is ready for use. Simply import it into your python script with the following:

from afterhours.afterhours import AfterHours

Source

The latest source code can be checked out with the following command:

git clone https://github.com/datawrestler/after-hours.git

Examples

from afterhours.afterhours import AfterHours

# AFTER HOURS TRADING DATA
AH = AfterHours('aapl', typeof = 'after')

# get the low price from after hours trading
print(AH.getdata(datatype='lowprice'))
# 102.18

# get the high price of after hours trading
print(AH.getdata(datatype='highprice'))
# 109.055

# get the timestamp of after hours high trade
print(AH.getdata(datatype='hightime'))
# '12/15/2017 18:58:46 PM'

print(AH.getdata(datatype='lowtime'))
# '12/15/2017 19:58:46 PM'

# get all data points for after hours trading
print(AH.secure_all())
# Pandas DataFrame

# PRE HOURS TRADING DATA
# get pre hours trading info for apple
AH = AfterHours('aapl', typeof='pre')

# get the low price from pre hours trading
print(AH.getdata(datatype='lowprice'))
# 102.18

# get the high price from pre hours trading
print(AH.getdata(datatype='highprice'))
# 109.055

# get the timestamp for lowest trade
print(AH.getdata(datatype='lowtime'))
# '12/15/2017 18:58:46 PM'

# get the timestamp for highest time trade
print(AH.getdata(datatype='hightime'))
# '12/15/2017 19:58:46 PM'

# secure all pre hours trading data
print(AH.secure_all())
# Pandas DataFrame

Please add any questions, comments, concerns to the issues tab on Github for the project! I look forward to seeing this package built out further in future releases.