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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
The QuantLib C++ library
Portfolio Optimization in Python
An open-source, high-performance quantitative trading framework in C++/Python focused on strategy analysis and backtesting Trading model R&D · Ultra-fast engine · Efficient backtesting
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
高频量化交易平台 C++ Trade Platform for quant developer 【浮生着甚苦奔忙,量化之路阻且长。 行行代码凝心血,十年辛苦不寻常】
Asynchronous, event-driven algorithmic trading in Python and C++
C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram.
Fast, easy automatic differentiation in C++
R package interfacing the Bloomberg API from https://www.bloomberglabs.com/api/
High performance order matching engine
R interface to the QuantLib library
A zero-alloc, compile-time hardened FIX engine built for sub-100ns execution.
QuantLib with AAD
Distributed QuantLib
C++20 research implementation of special-relativistic geometry on OHLCV market data: Lorentz factors, spacetime-interval regime labels, Christoffel symbols and geodesic-deviation signals, with SIMD kernels, Python validation scripts and a LaTeX paper.