{ "info": { "author": "Quincy Alexander", "author_email": "qalexander@valuehorizon.com", "bugtrack_url": null, "classifiers": [], "description": "=======================\nForex, by Valuehorizon\n=======================\n\n.. image:: https://badge.fury.io/py/valuehorizon-forex.svg\n :target: http://badge.fury.io/py/valuehorizon-forex\n.. image:: https://travis-ci.org/Valuehorizon/valuehorizon-forex.svg?branch=master\n :target: https://travis-ci.org/Valuehorizon/valuehorizon-forex\n.. image:: https://coveralls.io/repos/Valuehorizon/valuehorizon-forex/badge.svg\n :target: https://coveralls.io/r/Valuehorizon/valuehorizon-forex\n.. image:: https://codeclimate.com/github/Valuehorizon/valuehorizon-forex/badges/gpa.svg\n :target: https://codeclimate.com/github/Valuehorizon/valuehorizon-forex\n\nA Django-based Foreign Exchange data toolkit. It provides time-series functionality\nwith built-in statistical plugins such as volatility and returns. You can also write \nyour own statistical plugins.\nIt also includes documentation, test coverage and a good amount of sample data to play around with.\nThis app is a part of the Valuehorizon application ecosystem.\n\nInstallation\n============\n\nStart by creating a new ``virtualenv`` for your project ::\n\n mkvirtualenv myproject\n\nNext install ``numpy`` and ``pandas`` and optionally ``scipy`` ::\n\n pip install numpy==1.1.0\n pip install pandas==0.13.0\n\nFinally, install ``valuehorizon-forex`` using ``pip``::\n\n pip install valuehorizon-forex\n\nUsage\n============\n\nLet's start by loading some sample data.::\n\n python manage.py load_fixtures --settings=my_settings_file\n\nThis dataset contains the exchange rate data for the US Dollar to Euro (USD/EUR) from 2013-01-01 to 2015-12-31. 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