Skip to main content

AI and data-driven quantitative portfolio management for risk and performance analytics

Project description

By Investors, For Investors.











Open In Colab



Empyrial is a Python-based open-source quantitative investment library dedicated to financial institutions and retail investors, officially released in Mars 2021. Already used by thousands of people working in the finance industry, Empyrial aims to become an all-in-one platform for portfolio management, analysis, and optimization.

Empyrial empowers portfolio management by bringing different financial approaches such as risk analysis, quantitative analysis, fundamental analysis, factor analysis and prediction making.

With Empyrial, you can easily analyze security or a portfolio with these different approaches and get the best insights from it.


Full documentation : https://github.com/ssantoshp/Empyrial

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

empyrial-1.5.6.tar.gz (9.3 kB view hashes)

Uploaded Source

Built Distribution

empyrial-1.5.6-py3-none-any.whl (9.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page