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https://github.com/datawrestler/after-hours
Obtain pre market and after hours stock prices for a given symbol
https://github.com/datawrestler/after-hours
Last synced: about 2 months ago
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Obtain pre market and after hours stock prices for a given symbol
- Host: GitHub
- URL: https://github.com/datawrestler/after-hours
- Owner: datawrestler
- License: mit
- Archived: true
- Created: 2015-08-26T15:35:09.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2021-01-07T22:18:07.000Z (almost 4 years ago)
- Last Synced: 2024-11-01T00:36:16.263Z (2 months ago)
- Language: Python
- Size: 68.4 KB
- Stars: 34
- Watchers: 5
- Forks: 11
- Open Issues: 6
-
Metadata Files:
- Readme: README.rst
- License: LICENSE.txt
Awesome Lists containing this project
- awesome-quant - after-hours - Obtain pre market and after hours stock prices for a given symbol. (Python / Data Sources)
- awesome-quant - after-hours - Obtain pre market and after hours stock prices for a given symbol. (Python / Data Sources)
README
.. image:: https://travis-ci.org/datawrestler/after-hours.svg?branch=master
:target: https://travis-ci.org/datawrestler/after-hours
.. image:: https://badge.fury.io/py/afterhours.svg
:target: https://badge.fury.io/py/afterhours
.. image:: https://img.shields.io/badge/python-2.7-blue.svg
:target: https://badge.fury.io/py/afterhours
.. image:: https://img.shields.io/badge/python-3.5-blue.svg
:target: https://badge.fury.io/py/afterhours
.. image:: https://img.shields.io/badge/python-3.6-blue.svg
:target: https://badge.fury.io/py/afterhours
********************************
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'
----
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:
.. code-block::
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:
.. code-block:: python
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:
.. code-block:: python
from afterhours.afterhours import AfterHours
Source
~~~~~~~~~~~~
The latest source code can be checked out with the following command:
.. code-block::
git clone https://github.com/datawrestler/after-hours.git
Examples
~~~~~~~~~~~~
.. code-block:: python
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.