Financial functions for Python
ffn - Financial Functions for Python
Alpha release - please let me know if you find any bugs!
If you are looking for a full backtesting framework, please check out bt. bt is built atop ffn and makes it easy and fast to backtest quantitative strategies.
ffn is a library that contains many useful functions for those who work in quantitative finance. It stands on the shoulders of giants (Pandas, Numpy, Scipy, etc.) and provides a vast array of utilities, from performance measurement and evaluation to graphing and common data transformations.
import ffn returns = ffn.get('aapl,msft,c,gs,ge', start='2010-01-01').to_returns().dropna() returns.calc_mean_var_weights().as_format('.2%') aapl 62.54% c -0.00% ge 36.19% gs -0.00% msft 1.26% dtype: object
The easiest way to install
ffn is from the Python Package Index
pip install ffn
Since ffn has many dependencies, we strongly recommend installing the Anaconda Scientific Python Distribution. This distribution comes with many of the required packages pre-installed, including pip. Once Anaconda is installed, the above command should complete the installation.
Read the docs at http://pmorissette.github.io/ffn
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