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.
- Factor scoring model for ranking stocks based on financial metrics.
- Easy-to-extend architecture for adding custom optimization algorithms and metrics.
Installation
Via Pip
In order to install PortfolioOptimization via pip, simply run the following command in your terminal:
pip install PortfolioOptimization
Via GitHub
In order to install PortfolioOptimization via GitHub, you must first clone the repository and install the required dependencies. This can be done by running the following commands in your terminal:
git clone https://github.com/nathanramoscfa/PortfolioOptimization.git
cd PortfolioOptimization
pip install -r requirements.txt
1 maintainer
Metadata
1 maintainer
Release files for PortfolioOptimization 0.0.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| PortfolioOptimization-0.0.11.tar.gz | 21.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PortfolioOptimization-0.0.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.0 kB
Release files / PortfolioOptimization-0.0.11.tar.gz
| Download URL | PortfolioOptimization-0.0.11.tar.gz |
|---|---|
| Size | 21.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.11.3
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Release files / PortfolioOptimization-0.0.11-py3-none-any.whl
| Download URL | PortfolioOptimization-0.0.11-py3-none-any.whl |
|---|---|
| Size | 24.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.3
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