Metadata-Version: 2.1
Name: empyrial
Version: 1.4.2
Summary: AI and data-driven quantitative portfolio management for risk and performance analytics
Home-page: https://github.com/ssantoshp/Empyrial
Author: Santosh Passoubady
Author-email: santoshpassoubady@gmail.com
License: MIT
Description: # By Investors, For Investors.
        
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        ![](https://img.shields.io/badge/Downloads-6.3k-brightgreen)
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        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**.
        
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        Full documentation : https://github.com/ssantoshp/Empyrial
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
