AlphaPy is a machine learning framework for both speculators and
data scientists. It is written in Python with the scikit-learn
,
pandas
, and Keras
libraries, as well as many other helpful
libraries for feature engineering and visualization. Here are just
some of the things you can do with AlphaPy:
- Run machine learning models using
scikit-learn
,xgboost
, andKeras
. - Create models for analyzing the markets with MarketFlow.
- Predict sporting events with SportFlow.
- Develop trading systems and analyze portfolios using MarketFlow
and Quantopian's
pyfolio
.
You should already have pip, Python, and XGBoost (see below) installed on your system. Run the following command to install AlphaPy:
pip install -U alphapy
For Mac and Windows users, XGBoost will not install automatically
with pip
. For instructions to install XGBoost on your specific
platform, go to http://xgboost.readthedocs.io/en/latest/build.html.
http://alphapy.readthedocs.io/en/latest/
The official channel for support is to open an issue on Github.
http://github.com/ScottfreeLLC/AlphaPy/issues
Follow us on Twitter:
https://twitter.com/_AlphaPy_?lang=en
If you like the software, please donate:
http://alphapy.readthedocs.io/en/latest/introduction/support.html#donations