A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

实时风控引擎(Risk Engine)，自定义规则引擎（Rule Script），完美支持中文，适用于反欺诈(Anti-fraud)应用场景，开箱即用！！！移动互联网时代的风险管理利器，你 Get 到了吗？

ARCH models in Python

Risk-First Software Development

风控知识总结

天网决策引擎系统

A collection of awesome projects, blog posts, books, and talks on quantifying risk

Calculate your position size based on the risk and account size and execute your trades with this free MetaTrader expert advisor.

OpenQuake Engine: a software for Seismic Hazard and Risk Analysis

Marble - the real time decision engine for fraud and AML

Open source Android, iOS and Web app for learning about and managing digital and physical security. From how to send a secure message to dealing with a kidnap. Umbrella has best practice guides in over 40 topics in multiple languages. Used daily by people working in high risk countries - journalists, activists, diplomats, business travelers etc.

InaSAFE - QGIS plugin for estimating impact from natural disasters

A PHP version scanner for reporting possible vulnerabilities

An Ethical Trajectory Planning Algorithm for Autonomous Vehicles

A fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS), cross-currency swaps (XCS) and FX swaps. Contains tools for full Curveset construction with market standard optimisers and automatic differentiaton (AD) and risk sensitivity calculations including delta and cross-gamma.

⚖Open Source Toolkit for Quantitative Risk Assessment

Resources for the budding field of risk modelling and analysis in DeFi

A tool for quantitative risk analysis of Android applications based on machine learning techniques

Loss modelling framework.

Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics and many other (ex-post) risk/return characteristics both on an individual stock and portfolio-basis, stand-alone and vs. a benchmark of choice (constructed with wxPython)