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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
Hikyuu Quant Framework 基于C++/Python的超高速开源量化交易研究框架,同时可基于策略部件进行资产重用,快速累积策略资产。
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
The first end-to-end C++20 implementation of special-relativistic geometry applied to financial OHLCV data. Computes Lorentz factors, spacetime intervals, Christoffel symbols, and geodesic deviation signals from live market data.