tiafork 1.2.1

Fork of tia: Toolkit for integration and analysis

# 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