lballabio/QuantLib
QuantLib
QuantLib is a quantitative finance library and analysis engine built in C++ for executing complex financial calculations and simulations. It serves as a framework for quantitative finance modeling and trading risk management, providing the tools necessary to calculate fair values and risk metrics for diverse financial assets.
The project focuses on financial instrument modeling and the evaluation of potential losses and exposure levels to inform portfolio management decisions. It provides a system for modeling financial instruments and managing trading risk through quantitative mathematical models.
The library is designed to be compiled from source to create functional binaries for specific target operating systems.
Features
- Quantitative Finance & Trading - Serves as a comprehensive library for quantitative finance, providing mathematical models to calculate fair values and risk metrics.
- Financial Instruments and Pricing - Provides tools for modeling, valuing, and managing a wide array of financial derivatives and assets.
- Trading Risk Analysis - Provides an analytical framework for evaluating potential losses and exposure levels to inform trading and portfolio decisions.
- Financial Calendar Logic - Provides a centralized calendar system to track cash flows and interest accruals across diverse global holiday schedules.
- Financial Instrument Definitions - Provides APIs and structures for defining the payoff logic and underlying assets of diverse financial instruments.
- Quantitative Analysis Engines - Provides a high-performance C++ engine for executing complex financial calculations and simulations.
- Derivative Risk Frameworks - Implements specialized frameworks for quantifying and managing the risk of financial derivative contracts and portfolio exposure.
- Compile-Time Type Dispatch - Implements C++ template-based static dispatch to generate optimized code paths for different numeric types at compile time.
- Modular Library Architectures - Organizes core mathematical tools and date logic into independent packages, separating them from specific instrument implementations.
- Generics & Templates - Employs C++ templates to perform high-precision calculations across different numeric types without sacrificing runtime performance.
- Visitor Patterns - Implements the Visitor pattern to decouple financial instrument definitions from their corresponding pricing logic engines.
- Object-Oriented Models - Uses hierarchical class structures to map complex financial instruments to their mathematical representations and pricing engines.
- Mathematical Libraries - Library for quantitative finance.
- Cross-Language Frameworks - Comprehensive framework for quantitative finance and derivatives pricing.
- Mathematics - Library for quantitative finance.
Star history
How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
