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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 m
FinceptTerminal is a quantitative finance platform and financial engineering library designed for asset valuation, risk management, and fixed-income analytics. It provides a comprehensive suite for algorithmic trading and investment strategy automation, integrating specialized language model agents and node-based workflows to automate market research and alpha generation. The project distinguishes itself with a dedicated game theory analysis engine for calculating Nash equilibria and simulating strategic interactions in competitive markets. It also features a specialized credit risk modeling
quant-wiki is a comprehensive knowledge base and structured reference for quantitative finance, financial engineering, and algorithmic trading. It serves as a centralized library of documentation covering mathematical models, financial instruments, and systematic trading strategies. The project integrates AI-driven capabilities through a modular retrieval-augmented generation framework that extracts structured data from research papers and news. It features a multi-agent workflow engine designed to discover and validate predictive alpha factors, alongside tools for local large language model
Awesome-quant is a curated directory of open-source software libraries and tools designed for quantitative finance, algorithmic trading, and financial data analysis. It serves as a central hub for discovering resources that support the entire lifecycle of financial modeling, from raw data ingestion to complex statistical research. The repository organizes specialized tools into categorized collections, enabling users to identify solutions for high-performance numerical computing, technical indicator calculation, and derivative pricing. It highlights frameworks that facilitate the construction
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 main features of goldmansachs/gs-quant are: Quantitative Frameworks, Quantitative Trading Strategies, Automated Risk Management, Systematic Trading Development, Financial Analytics, Financial Data Processing, Financial Instrument Definitions, Quantitative Finance & Trading.
Projects with overlapping indexed features include: lballabio/quantlib — QuantLib is a quantitative finance library and analysis engine built in C++ for executing complex financial… fincept-corporation/finceptterminal — FinceptTerminal is a quantitative finance platform and financial engineering library designed for asset valuation,… llmquant/quant-wiki — quant-wiki is a comprehensive knowledge base and structured reference for quantitative finance, financial engineering,… wilsonfreitas/awesome-quant — Awesome-quant is a curated directory of open-source software libraries and tools designed for quantitative finance,… yutiansut/quantaxis — Quantaxis is a quantitative trading framework designed for building, backtesting, and executing automated strategies… quantconnect/lean — Lean is an algorithmic trading engine and quantitative finance platform designed for the development, backtesting, and…