| """ |
| Portfolio optimization methods extracted from research notebooks. |
| |
| Methods: |
| - equal_weight : 1/N baseline |
| - markowitz : Max-Sharpe via SLSQP (Markowitz 1952) |
| - hrp : Hierarchical Risk Parity (López de Prado 2016) |
| - qubo_sa : QUBO + Simulated Annealing (Orús et al. 2019) |
| - vqe : VQE PauliTwoDesign (Scientific Reports 2023) |
| - hybrid_pipeline : 3-Stage Hybrid (Buonaiuto/Springer 2025, Herman/arXiv 2025) |
| """ |
|
|
| from .equal_weight import equal_weight |
| from .markowitz import markowitz_max_sharpe, min_variance, target_return_frontier |
| from .hrp import hrp_weights |
| from .qubo_sa import qubo_sa_weights |
| from .vqe import vqe_weights |
| from .hybrid_pipeline import HybridPipelineInfo, hybrid_pipeline_weights |
|
|
| __all__ = [ |
| "equal_weight", |
| "markowitz_max_sharpe", |
| "min_variance", |
| "target_return_frontier", |
| "hrp_weights", |
| "qubo_sa_weights", |
| "vqe_weights", |
| "hybrid_pipeline_weights", |
| ] |
|
|
