Entropy Pooling in Python with a BSD 3-Clause license.

black-litterman 开源项目推荐(111 个)
black-litterman 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 111 个仓库Portfolio Construction Functions under the Basic Mean_Variance Model, the Factor Model and the Black_Litterman Model.
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.
Enhanced Portfolio Optimization (EPO)
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.
Dynamic adjusted BL portfolio based on GARCH model
DRIP Asset Allocation is a collection of model libraries for MPT framework, Black Litterman Strategy Incorporator, Holdings Constraint, and Transaction Costs.
End-to-end portfolio optimization (MVO), Risk Parity, Black–Litterman, regime targeting
ESG investing web app that takes user inputs to generate personalized equity portfolios and even comparative firm ESG rankings.
Streamlit app to simulate/optimize different portfolio allocations based on mathematical methods.
Asset allocation and portfolio optimization implementations to examine how each one differs and affects the overall portfolio.
McPortfolio: A Model Context Protocol server providing 9 specialized tools for LLM-driven portfolio optimization using natural language, covering mean-variance to machine learning approaches.
Flexible Python library for asset allocation and investor view integration
Black-Litterman with MVO program for asset allocation (ETF)
Open-source quantitative finance research engine — Black-Litterman, Ledoit-Wolf shrinkage, Hierarchical Risk Parity, leakage-free CPCV backtesting. Independently reproduces the DeMiguel-Garlappi-Uppal "1/N puzzle": no tested optimization method reliably beats naive equal-weighting once estimation error is properly controlled for.
Tangency portfolio construction with Black-Litterman views, from priors and views to the final allocation.
Open-source quantitative portfolio optimization, risk analytics, and anti-overfitting strategy certification in Python. The research core of the CPZAI systematic trading operating system.
Dynamic Investing strategy with nowcasting
Black-Litterman portfolio construction on the EURO STOXX 50 top 15: reverse-optimised equilibrium, Idzorek view-confidence, Theil posterior, max-Sharpe / min-variance / efficient frontier, Streamlit dashboard.
Black-Litterman + Ledoit-Wolf + EGARCH-M views: portfolio optimisation & backtest on CAC 40 stocks.
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/black-litterman。
- 该话题在 GitHub 上共有 111 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 231 Star,覆盖 7 种主要语言,数据更新于 2026-11-08。
- 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。