Factual package intelligence from PyPI

mean-variance-portfolio 1.0.0 package intelligence

MV Port is a Python package to perform Mean-Variance Analysis. It provides a Portfolio class with a variety of methods to help on your portfolio optimization tasks.

pip install mean-variance-portfolio

Current version
1.0.0
Python requirement
Not declared
License
MIT license
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
21.7 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

mean-variance-portfolio dependencies

PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. cvxopt ==1.2.0
  2. numpy ==1.14.5
  3. scipy ==1.1.0

Compatibility and release files

mean-variance-portfolio publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.

Declared Python classifiers: 2.7, 3.4, 3.5, 3.6.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .