Python module after_hours can retrieve pre-market prices 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'.

Python 2.7/3.4+

Method Name	Description
pre_latest	Returns latest pre market price
pre_high	Returns high pre market price
pre_low	Returns low pre market price
pre_volume	Returns pre market volume info
pre_market_avg	Returns avg pre market prices
pre_market_sse	pre market standard square error
pre_market_sd	pre market standard deviation
ah_latest	Returns latest after hours price
ah_high	Returns high after hours price
ah_low	Returns low after hours price
ah_volume	Returns after hours volume
ah_all	Returns all after hours prices
ah_avg	Returns after hours average price
ah_sse	After hours standard sqaure error
ah_sd	After hours standard deviation

Installation is done using pip install:

pip install after_hours

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/0.1.1

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

import after_hours

>>> import after_hours
>>> print(after_hours.ah_latest('aapl'))
    ('aapl', 102.18)

>>> print(after_hours.ah_high('aapl'))
    ('aapl', 109.055, '16:09:59 PM')

>>> print(after_hours.ah_low('aapl'))
    ('aapl', 102.1, '19:58:46 PM')

>>> print(after_hours.ah_volume('aapl'))
    ('aapl', '2,140,117')

>>> print(after_hours.ah_all('aapl'))
    ('aapl', ['19:59', '19:57', '19:53'], [102.18, 102.16, 102.11], ['100', '10', '10']

>>> print(after_hours.ah_avg('aapl'))
    ('aapl', 102.22793048

>>> print(after_hours.ah_sse('aapl'))
    ('aapl', 0.572312)

>>> print(after_hours.ah_sd('aapl'))
    ('aapl', 0.0835429)