Investment library for Python
Project description
Investment Library for Python
A simple and flexible Python library for building, analyzing, and managing investment portfolios. Designed for ease of use by financial analysts, researchers, and individual investors.
Features
- Portfolio construction and optimization
- Asset performance tracking
- Risk and return analysis
- Visualization tools for financial data
- Support for custom strategies and backtesting
Installation
pip install pynans
Quick Start
from pynance import Portfolio
# Create a portfolio with assets
portfolio = Portfolio(assets={
'AAPL': 0.4,
'MSFT': 0.3,
'GOOGL': 0.3
})
# Fetch performance data and analyze
portfolio.fetch_data(start_date="2020-01-01", end_date="2023-01-01")
portfolio.calculate_metrics()
portfolio.plot_performance()
Documentation
Full documentation is available at: Pynans Docs
Contributing
Contributions are welcome! Please fork the repository and submit a pull request.
License
This project is licensed under the MIT License.
Happy Investing! 🌊
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