{ "info": { "author": "Joao Carlos Roseta Matos", "author_email": "jcrmatos@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: End Users/Desktop", "Intended Audience :: Financial and Insurance Industry", "License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Topic :: Office/Business :: Financial :: Investment", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "tai\n===\n\nThis module provides some technical indicators for analysing stocks.\n\nDescription and features\n------------------------\n\n**Description**\n\nThis module provides some technical indicators for analysing stocks.\n\nWhen I can I will add more.\n\nIf anyone wishes to contribute with new code or corrections/suggestions, feel free.\n\nThis module was done and tested under Windows with Python 2.7.3 and numpy 1.6.1.\n\n**Features**\n\n Relative Strength Index (RSI), ROC, MA envelopes\n Simple Moving Average (SMA), Weighted Moving Average (WMA), Exponential Moving Average (EMA)\n Bollinger Bands (BB), Bollinger Bandwidth, %B\n\nInstallation\n------------\n\n**Installation**\n\n.. code:: bash\n\n $ pip install tai\n\t\nResources and contributing\n--------------------------\n\n**Resources**\n\n* `Repository PyPI `_\n* `Documentation PyPI `_\n* `Repository Github `_\n* `Documentation Read the Docs `_\n\n**Contributing**\n\nIf Other repository above is Github or compatible, follow these guidelines for contributing:\n\n1. 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