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Second-order portfolio optimizer for mean-variance-skewness-kurtosis (MVSK) via Yau's Affine-Normal Descent
pip install yand-mvsk
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
yand-mvsk publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .