PyPI page
Author:
Sagan Labs
License:
MIT
Summary:
SOTA Quantitative Finance Library: Symbolic Regression, Temporal Fusion Transformers, PINNs, Advanced Portfolio Optimization, and Institutional-Grade Backtesting
Latest version:
2.3.1
Required dependencies:
arch
|
cvxpy
|
fredapi
|
joblib
|
matplotlib
|
numba
|
numpy
|
pandas
|
pandas-datareader
|
plotly
|
python-dotenv
|
pyyaml
|
rich
|
scikit-learn
|
scikit-optimize
|
scipy
|
seaborn
|
statsmodels
|
tqdm
|
typer
|
xgboost
|
yfinance
Optional dependencies:
alpaca-py
|
build
|
fredapi
|
ib-insync
|
ipykernel
|
joblib
|
lightning
|
matplotlib
|
mkdocs-git-revision-date-localized-plugin
|
mkdocs-jupyter
|
mkdocs-material
|
mkdocstrings
|
msgpack
|
mypy
|
nbconvert
|
numba
|
numpy
|
pandas
|
plotly
|
pre-commit
|
pyinstaller
|
pytest
|
pytest-benchmark
|
pytest-cov
|
pytest-xdist
|
pytorch-forecasting
|
quandl
|
redis
|
ruff
|
sagan-trade
|
scikit-learn
|
scipy
|
seaborn
|
torch
|
torchvision
|
twine
|
yfinance
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