Back to Community
Pyfolio -- a New Python Library for Performance and Risk Analysis

This post was originally featured on the Quantopian Blog and authored by Dr. Thomas Wiecki.

Today, we are happy to announce pyfolio, our open source library for performance and risk analysis. We originally created this as an internal tool to help us vet algorithms for consideration in the Quantopian hedge fund. Pyfolio allows you to easily generate plots and information about a stock, portfolio, or algorithm.

Tear sheets, or groups of plots and charts, are the heart of pyfolio. Some predefined tear sheets are included, such as sheets that allow for analysis of returns, transactional analysis, and Bayesian analysis. Each tear sheet produces a set of plots about their respective subject.

Pyfolio is available now on Quantopian's research environment. It can be used standalone or in conjunction with zipline.

Here is part of a tear sheet analyzing the returns of Facebook's (FB) stock:

pyfolio is available now on the Quantopian Research Platform. See our forum post for further information.

Finally, see pyfolio website or pyfolio's GitHub page, where you can see the full source code or contribute to the project.

Disclaimer

The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.