portfolio-optimization | Solve different formulations of the portfolio optimization

by dwave-examples Python Version: Current License: Apache-2.0

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kandi X-RAY | portfolio-optimization Summary

portfolio-optimization is a Python library. portfolio-optimization has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Optimizing a portfolio of stocks is a challenging problem that looks to identify the optimal number of shares of each stock to purchase in order to minimize risk (variance) and maximize returns, while staying under some specified spending budget.

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Quality

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Support

portfolio-optimization has a low active ecosystem.

It has 18 star(s) with 19 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 6 have been closed. On average issues are closed in 43 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of portfolio-optimization is current.

Quality

portfolio-optimization has no bugs reported.

Security

portfolio-optimization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

portfolio-optimization is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

portfolio-optimization releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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portfolio-optimization Key Features

No Key Features are available at this moment for portfolio-optimization.

portfolio-optimization Examples and Code Snippets

No Code Snippets are available at this moment for portfolio-optimization.

Community Discussions

No Community Discussions are available at this moment for portfolio-optimization.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install portfolio-optimization

You can download it from GitHub.
You can use portfolio-optimization like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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