Metadata-Version: 2.1
Name: PortfolioOptimization
Version: 0.0.0
Summary: A package for portfolio optimization.
Home-page: https://github.com/nathanramoscfa/PortfolioOptimization.git
Author: Nathan Ramos
Author-email: nathan.ramos.github@gmail.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.md

# PortfolioOptimization

![License](https://img.shields.io/badge/license-MIT-blue.svg)
![Python](https://img.shields.io/badge/python-v3.6+-blue.svg)

PortfolioOptimization is a Python package for performing portfolio optimization using various algorithms and backtesting techniques. It is designed to be highly customizable, extensible, and easy to use. The project aims to assist financial analysts, investment advisers, and researchers in making data-driven investment decisions.

## Features

- Algorithms for optimizing portfolios based on various financial metrics.
- Backtesting functionality for evaluating portfolio performance.
- Plotting tools for visualization of portfolios and backtests.
- Easy-to-extend architecture for adding custom optimization algorithms and metrics.

## Installation

### Via Pip
```bash
pip install PortfolioOptimization
```

### Via GitHub
```bash
git clone https://github.com/nathanramoscfa/PortfolioOptimization.git
cd PortfolioOptimization
pip install -r requirements.txt
```
