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Author:
Artur Sepp
Summary:
Performance analytics, portfolio backtesting, risk analysis, and factsheet reporting in Python
Latest version:
5.37.0
Required dependencies:
matplotlib
|
numba
|
numpy
|
openpyxl
|
pandas
|
pyyaml
|
scipy
|
seaborn
|
statsmodels
Optional dependencies:
fsspec
|
furo
|
ipykernel
|
ipywidgets
|
jinja2
|
jupyter
|
jupyterlab
|
myst-parser
|
notebook
|
pandas-datareader
|
plotly
|
psycopg2
|
pyarrow
|
pybloqs
|
qis
|
sphinx
|
sqlalchemy
|
yfinance
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