InvestOS

Welcome to the InvestOS portfolio engineering and backtesting framework!

InvestOS is an opinionated framework for constructing and backtesting portfolios in a consistent, albeit flexible way. We built it to make institutional-grade backtesting and portfolio optimization simple, extensible, and open-source.

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Getting Started

🔗 Read the full Getting Started guides Here

Prerequisites

To run InvestOS you'll need:

• Python +3.8
  • You can download it here
  • If you're working on MacOS, you may wish to install it via Homebrew
• pip
  • For installing InvestOS (and any other Python packages)
  • pip installation instructions here

Although not required, running InvestOS might be easier if you have:

• Poetry, a package and dependency manager
• Familiarity with pandas
  • The popular Python data analysis package (originally) released by AQR Capital Management

Installation

If you're using pip:

$ pip install investos

If you're using poetry:

$ poetry add investos

Importing InvestOS

At the top of your python file or .ipynb, add:

import investos as inv

Congratulations on setting up InvestOS!

Let's move on to our next guide: How InvestOS Works

Contributing

InvestOS is an open-source project and we welcome contributions from the community.

If you'd like to contribute, please fork the repository and make changes as you'd like. Pull requests are warmly welcome.

Contributors ✨

Thank You

A special thank you to:

1. The authors of the Multi-Period Trading via Convex Optimization paper: Stephen Boyd, Enzo Busseti, Ronald Kahn, et al. It formed much of the basis of my knowledge on convex optimization.
2. The team behind CVXPY
3. The team behind OSQP