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Author:
None
License:
MIT
Summary:
Implementation of optimisation analytics for constructing and backtesting optimal portfolios in Python
Latest version:
5.2.2
Required dependencies:
cvxpy
|
factorlasso
|
matplotlib
|
numba
|
numpy
|
openpyxl
|
pandas
|
pyyaml
|
qis
|
quadprog
|
scipy
|
seaborn
Optional dependencies:
jinja2
|
jupyter
|
jupyterlab
|
notebook
|
optimalportfolios
|
pandas-datareader
|
plotly
|
pybloqs
|
pytest
|
pytest-cov
|
ruff
|
yfinance
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