An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
The main features of ssantoshp/empyrial are: Financial Analytics, Financial Analytics Tools, Portfolio Optimization.
Open-source alternatives to ssantoshp/empyrial include: quantopian/pyfolio — Portfolio and risk analytics in Python. robertmartin8/pyportfolioopt — PyPortfolioOpt is a comprehensive portfolio optimization library for Python that provides a full suite of methods for… jankrepl/deepdow. dcajasn/riskfolio-lib — Riskfolio-Lib is a Python portfolio optimization library and convex risk management tool. It provides a framework for… domokane/financepy — A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including… enthought/pyql — Cython QuantLib wrappers.
Portfolio and risk analytics in Python
Riskfolio-Lib is a Python portfolio optimization library and convex risk management tool. It provides a framework for calculating optimal asset allocations using convex risk measures and mathematical programming solvers, supporting linear, quadratic, and semidefinite programming. The library features a hierarchical risk parity framework and financial asset clustering tools to group similar instruments and improve diversification. It includes a portfolio backtesting engine for simulating investment strategies using historical data and cross-validation. The system covers a broad range of quant
PyPortfolioOpt is a comprehensive portfolio optimization library for Python that provides a full suite of methods for constructing and analyzing investment portfolios. At its core, the library implements mean-variance optimization, the Black-Litterman Bayesian model, and Hierarchical Risk Parity, giving users multiple approaches to asset allocation. It includes a complete covariance estimation toolkit with interchangeable estimators such as sample, exponential, shrinkage, and minimum-covariance-determinant methods, along with expected return estimation using historical mean, exponential weight
