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Hierarchical Risk Parity Python Packages

Python packages with the GitHub topic hierarchical-risk-parity. Sorted by monthly downloads, with stars and forks.
CPZ-Lab
cpz-ai

Open-source quantitative portfolio optimization, risk analytics, and anti-overfitting strategy certification in Python. The research core of the CPZAI systematic trading operating system.

15K 3 0
tschm
pyhrp

Cluster-based portfolio allocation on an explicit, inspectable tree: hierarchical risk parity, Schur complementary allocation and hierarchical 1/N

8K 55 23
CPZ-Lab
cpz-quant

Open-source quantitative portfolio optimization, risk analytics, and anti-overfitting strategy certification in Python. The research core of the CPZAI systematic trading operating system.

2K 3 0
Anagatam
canopy-optimizer

Institutional-grade hierarchical portfolio optimization in Python — HRP, HERC, NCO — with robust covariance estimation, risk measures, walk-forward backtesting, and compliance audit trails.

205 3 1
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology