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TradingMachine Machine Learning for Python (Pandas, PyBrain, TA-Lib)
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TradingMachine Machine Learning for Python (Pandas, PyBrain, TA-Lib)

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TradingMachine Machine Learning for Python (Pandas, PyBrain, TA-Lib)

https://pypi.python.org/pypi/tradingmachine

TradingMachine
=======

TradingMachine is intend to bring optimization and machine techniques into finance algorithmic trading.

Discussion and Help
===================

TODO

Features
========

* Optimization on strategy parameters.
* PyBrain Integration (Reinforcement Learning, Neural Network ...).
* TA-Lib Integration (Most common technical analysis available.)
* Pandas (High speed time series data analysis)


Installation
============

# You will first need to install TALib. ta-lib is a python wrapper for that. Please refer [TA-Lib](TA-Lib: Technical Analysis Library - Products)

TradingMachine can be installed via pip

```
pip install numpy
pip install matplotlib
pip install pandas
pip install ta-lib
pip install tradingmachine
```

If there are problems installing the dependencies, please consider install scipy stack.
For Windows, the [Enthought Python Distribution](http://www.enthought.com/products/epd.php)
includes most of the necessary dependencies.
On OSX, the [Scipy Superpack](fonnesbeck/ScipySuperpack @ GitHub) works very well.
Other platforms, the [Scipy Stack](Python Extension Packages for Windows - Christoph Gohlke) has binary available to install.

After installation, you will need to create a configuration file in home directory named ".tmconfig.ini".

Example:
```
1 [DEFAULT]
2 HistoricalDataPath = /Users/chen/Repository/historicaldata
```

Configuration file is intended to point to the historical data folder.
A copy of historical data can be downloaded from: [historicalata](https://github.com/chinux23/historicaldata)

Dependencies
------------

* Python (>= 3.3.1)
* numpy (>= 1.7.1)
* pandas (>= 0.11.0)
* pytz
* ta-lib

Contact
=======

For other questions, please contact Chen Huang <chinux@gmail.com>.

Mike

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