A package for portfolio optimization.
Project description
PortfolioOptimization
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
pip install PortfolioOptimization
Via GitHub
git clone https://github.com/nathanramoscfa/PortfolioOptimization.git
cd PortfolioOptimization
pip install -r requirements.txt
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
Built Distribution
Close
Hashes for PortfolioOptimization-0.0.4.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | cecec0dcd19656145b33f69fa33cd70efe277005b4ed2e6db7bd9e801994f12c |
|
MD5 | 1d0e922d7603585276ae0dcaa540f090 |
|
BLAKE2b-256 | 48bd503864c70e832cfb9eaa6ad2b5be8f07e33d45efdeeccc53694716c9b654 |
Close
Hashes for PortfolioOptimization-0.0.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0e29ed30dfdf72859bbe0c72987682f32bac0377bba7a4ac13109bb88568092d |
|
MD5 | b5b1ec2965c7c7f942cddc4e1f4fdbc7 |
|
BLAKE2b-256 | 8ecb77e925e3b148b80c8a149c207253cb2d6700d9ddfd1f35354b1c0fd5a3c6 |