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FinceptTerminal: Advanced Financial Analytics and AI for Market Research
FinceptTerminal is a cutting-edge finance application designed for in-depth market analysis and data-driven investment decisions. It provides advanced tools for market analytics, investment research, and economic data exploration. Built with C++20 and Qt6, and leveraging embedded Python, it offers institutional-grade performance in a user-friendly environment.
awesome-quant: A Curated List of Resources for Quantitative Finance
awesome-quant is an extensive, community-curated list of libraries, packages, and resources tailored for professionals and enthusiasts in Quantitative Finance. With over 24,000 stars, it serves as a central hub for discovering tools across various programming languages, covering areas like algorithmic trading, risk analysis, and financial data sourcing. This repository is an invaluable asset for anyone looking to navigate the complex landscape of quant development.
EliteQuant: A Comprehensive List of Quantitative Finance Resources
EliteQuant is a meticulously curated GitHub repository offering a vast collection of online resources for quantitative modeling, trading, and portfolio management. This project serves as an invaluable hub for professionals and enthusiasts seeking tools, libraries, and knowledge in the complex world of quantitative finance. It aggregates platforms, systems, libraries, models, data sources, and more, making it a go-to reference.
gs-quant: A Python Toolkit for Quantitative Finance
gs-quant is a powerful Python toolkit developed by Goldman Sachs for quantitative finance. It accelerates the development of trading strategies and risk management solutions, leveraging over 25 years of market experience. This toolkit is ideal for derivative structuring, trading, and data analytics applications.