Portfolio Optimization in Python
risk-parity 开源项目推荐(89 个)
risk-parity 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 89 个仓库Python library for portfolio optimization built on top of scikit-learn
Fast and scalable construction of risk parity portfolios
A JavaScript library to allocate and optimize financial portfolios.
Constrained and Unconstrained Risk Budgeting / Risk Parity Allocation in Python
Design of Risk Parity Portfolios
Cluster-based portfolio allocation on an explicit, inspectable tree: hierarchical risk parity, Schur complementary allocation and hierarchical 1/N
Risk_Parity strategy 风险平价
Portfolio optimisation library for Julia. Over 50 risk measures (CVaR, EVaR, RLVaR, drawdown, OWA), hierarchical risk parity, HERC, nested clustered optimisation, risk budgeting, near-optimal centering, four Black-Litterman variants, entropy pooling, factor and high-order priors, denoising, and JuMP-backed convex and non-convex optimization.
Backtesting of different trading strategies by applying different Modern Portfolio Theory (MPT) approaches on long-only ETFs portfolios in Python.
桥水全天候策略(中国版)——风险平价回测,结合真实A股股票、债券和大宗商品ETF数据
End-to-End Python implementation of Ang et al's (2026) Agentic 'Self-Driving Portfolio'. Implements: Black-Litterman equilibrium priors, Grinold-Kroner building blocks, Campbell-Shiller CAPE analysis, Ledoit-Wolf covariance shrinkage, Risk Parity, Hierarchical Risk Parity, and Robust Mean-Variance optimization across 18 asset classes.
Factor Risk Parity Portfolio Construction algorithm. Built during my Master's. final project. Backtested on the S&P500.
End-to-end portfolio optimization (MVO), Risk Parity, Black–Litterman, regime targeting
Constructing a portfolio of crypto and stock assets utlizing ESG scores as well as machine learning models to predict buy / sell signals after establishing asset weights using hierarchical risk parity models.
Quantitative Risk and Asset Management Project - HEC Lausanne
Streamlit app to simulate/optimize different portfolio allocations based on mathematical methods.
LSTM-ARIMA with attention mechanism and multiplicative decomposition for sophisticated stock forecasting.
Adaptive regime estimation of market conditions (Maewal & Bock, 2018)
We Design a PCA Cluster Risk Parity Portfolio
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/risk-parity。
- 该话题在 GitHub 上共有 89 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 8182 Star,覆盖 7 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。