AlphaPy is a machine learning framework for both speculators and
data scientists. It is written in Python with the scikit-learn
and pandas 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-learnandxgboost. - 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/scottfreellc?lang=en
If you like the software, please donate:
http://alphapy.readthedocs.io/en/latest/introduction/support.html#donations