#cvxpy

Implementation of optimisation analytics for constructing and backtesting optimal portfolios in Python

Sparse factor model estimation with sign-constrained LASSO, prior-centered regularisation, and hierarchical clustering group LASSO (HCGL). Includes consistent factor covariance assembly. scikit-learn compatible API.