# tiafork: Toolkit for Integration and Analysis (Fork of a Fork)
## This is a Fork of a Fork!
This project is a fork of the Python 3 compliant version of the `tia` toolkit made by [PaulMest](https://github.com/PaulMest/tia). I've named it `tiafork`.
The original `tia` project was developed with Python 2. PaulMest updated it to be Python 3 compliant, and this project, `tiafork`, builds upon that work. This version is also Python 3 compliant and **NOT** Python 2 compliant.
I are open to additional community contributions. Just submit a pull request.
## Overview
TIAFORK is a toolkit that provides Bloomberg data access, easier PDF generation, backtesting functionality, technical analysis functionality, return analysis, and a few windows utils.
## Examples
Bloomberg API
- [v3 api](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/v3api.ipynb)
- [Data Manager](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/datamgr.ipynb)
Simple Trade and Portfolio Model
- [model](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/model_usage.ipynb)
PDF Generation (using reportlab)
- [pdf generation](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/rlab_usage.ipynb)
- [dataframe to pdf table](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/rlab_table_example.ipynb)
- [quick styling of pdf tables](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/rlab_table_style.ipynb)
Technical Analysis
- [pure python and ta-lib](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/ta.ipynb)
Backtest
- [backtest with yahoo data](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/backtest.ipynb)
- backtest with bbg data and pdf (Soon)
Utils
- [Formatting](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/fmt.ipynb)
## Dependencies
- Python 3
### Mandatory
- [numpy](http://www.numpy.org/)
- [pandas](http://pandas.pydata.org/)
### Recommended
- [matplotlib](http://matplotlib.sourceforge.net)
### Optional
- [reportlab](http://www.reportlab.com/)
- [ta-lib](http://mrjbq7.github.io/ta-lib/)
- [bloomberg](http://www.bloomberglabs.com/api/libraries/)
## Installation
To install `tiafork`, simply:
$ pip install tiafork
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"description": "# tiafork: Toolkit for Integration and Analysis (Fork of a Fork)\r\n\r\n## This is a Fork of a Fork!\r\nThis project is a fork of the Python 3 compliant version of the `tia` toolkit made by [PaulMest](https://github.com/PaulMest/tia). I've named it `tiafork`.\r\n\r\nThe original `tia` project was developed with Python 2. PaulMest updated it to be Python 3 compliant, and this project, `tiafork`, builds upon that work. This version is also Python 3 compliant and **NOT** Python 2 compliant.\r\n\r\nI are open to additional community contributions. Just submit a pull request.\r\n\r\n## Overview\r\nTIAFORK is a toolkit that provides Bloomberg data access, easier PDF generation, backtesting functionality, technical analysis functionality, return analysis, and a few windows utils.\r\n\r\n## Examples\r\n\r\nBloomberg API\r\n- [v3 api](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/v3api.ipynb)\r\n- [Data Manager](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/datamgr.ipynb)\r\n\r\nSimple Trade and Portfolio Model\r\n- [model](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/model_usage.ipynb)\r\n\r\nPDF Generation (using reportlab)\r\n- [pdf generation](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/rlab_usage.ipynb)\r\n- [dataframe to pdf table](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/rlab_table_example.ipynb)\r\n- [quick styling of pdf tables](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/rlab_table_style.ipynb)\r\n\r\nTechnical Analysis\r\n- [pure python and ta-lib](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/ta.ipynb)\r\n\r\nBacktest\r\n- [backtest with yahoo data](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/backtest.ipynb)\r\n- backtest with bbg data and pdf (Soon)\r\n\r\nUtils\r\n- [Formatting](http://nbviewer.ipython.org/github/yourusername/tiafork/blob/master/examples/fmt.ipynb)\r\n\r\n## Dependencies\r\n- Python 3\r\n\r\n### Mandatory\r\n- [numpy](http://www.numpy.org/)\r\n- [pandas](http://pandas.pydata.org/)\r\n\r\n### Recommended\r\n- [matplotlib](http://matplotlib.sourceforge.net)\r\n\r\n### Optional\r\n- [reportlab](http://www.reportlab.com/)\r\n- [ta-lib](http://mrjbq7.github.io/ta-lib/)\r\n- [bloomberg](http://www.bloomberglabs.com/api/libraries/)\r\n\r\n## Installation\r\nTo install `tiafork`, simply:\r\n\r\n $ pip install tiafork\r\n",
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