Open-source alternatives to Risktools Dev

gs-quant is a quantitative finance library and financial data analytics toolkit. It serves as a framework for analyzing financial data, developing systematic trading strategies, and managing risk exposure for derivative products in global markets. The project provides tools for quantitative financial analysis, quantitative portfolio modeling, and the development of systematic trading strategies. It enables the calculation of risk for derivative products to structure and hedge positions across markets.

CVXPY is a Python-embedded domain-specific language for modeling and solving convex optimization problems using natural mathematical syntax. It is built on a disciplined convex programming framework that automatically enforces convexity rules, ensuring that problems formulated by the user are valid for convex solvers. The project also functions as a multi-solver optimization interface, abstracting away backend details and dispatching problems to specialized solvers like ECOS, SCS, and Gurobi without manual configuration. Beyond standard convex optimization, CVXPY extends its reach to geometri

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This is code under heavy development!

A portfolio rebalancing tool that runs in both the terminal and the browser from a single codebase, powered by ink-web. Read the blog post.

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

Classes for analysing and implementing equity portfolios in R.

Fast and scalable construction of risk parity portfolios

Design of Risk Parity Portfolios

Design of Portfolio of Stocks to Track an Index

A Julia quantitative portfolio analytics (risk / performance) via online algorithms

A program for financial portfolio management, analysis and optimisation.

Entropy Pooling views and stress testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.

Ghostfolio is a self-hosted portfolio tracker designed for personal finance tracking and wealth management. It allows users to record investment transactions and monitor asset holdings across multiple financial accounts in a single private environment. The system provides a financial performance analyzer to calculate investment returns and generate growth charts. It includes an investment risk auditor that performs static analysis on asset holdings to identify financial vulnerabilities and diversification gaps. The platform covers broader capabilities for multi-account management and financi

mlfinlab is a Python machine learning library for finance designed for building and validating models used in quantitative trading and portfolio management. It provides a financial data engineering toolkit and a quantitative strategy backtesting framework to transform raw market data into predictive signals and target classes. The library includes a synthetic financial data generator to create artificial datasets that mimic the statistical properties of real assets for stress testing. It also provides specialized tools for financial time series labeling and sampling to prevent data leakage in

Collection of algorithms for online portfolio selection

A high-performance Python library for quantitative portfolio construction, risk management, and financial analysis. Built for data engineers and quants to streamline research workflows.

Common financial risk and performance metrics. Used by zipline and pyfolio.

Portfolio and risk analytics in Python

Quantitative risk and performance analysis package for financial time series powered by the Julia language.

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

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

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An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎

Common financial risk and performance metrics. Used by zipline and pyfolio.