Skip to main content

A Python library for optimizing stock portfolios using the Jellyfish Search optimization algorithm.

Project description

JellyStock

JellyStock is a Python library for optimizing stock portfolios using the Jellyfish Search optimization algorithm. It allows you to create and manage portfolios of stocks, download historical stock data, and find the optimal portfolio composition that maximizes the Sharpe ratio.

Features

  • Portfolio Management: Create and manage portfolios with a list of stock tickers, specifying the start and end dates for historical data.

  • Historical Data: Download historical 'Adj Close' data for a list of stock tickers from Yahoo Finance.

  • Portfolio Optimization: Use the Jellyfish Search optimization algorithm to find the optimal portfolio weights that maximize the Sharpe ratio.

  • Risk Analysis: Calculate risk metrics such as expected returns, volatility, and Sharpe ratio for your portfolio.

  • User-Friendly: Provides user-friendly methods for displaying portfolio information and optimization results.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

JellyStocks-1.0.5.tar.gz (11.1 kB view hashes)

Uploaded Source

Built Distribution

JellyStocks-1.0.5-py3-none-any.whl (12.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page