Stars
High-performance C++ Implementation of a Limit Order Book and a Matching Engine
Limit Order Book for high-frequency trading (HFT), as described by WK Selph, implemented in C++
A modern C++20 implementation of core components for a high-frequency trading ecosystem. Educational project inspired by industry practices.
⚡ A c-based multi-venue trading framework for HFT and market making algorithms. Over 300 built-in strategies mainly in C, also in Python and R for quantitative trading with ML support. Build, train…
Limit Order Book for high-frequency trading (HFT), as described by WK Selph, implemented in C.
A HFT Market Simulation utilizing high-speed, efficient C++ and concurrent/parallel programming
High-throughput / low-latency C++ application framework
High performance, low latency high frequency trading system written from scratch in C++
Python toolkit for quantitative finance
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
scikit-learn: machine learning in Python
This repository contains all the lab assignment for MIT course distributed systmes(6.824). Link:http://pdos.csail.mit.edu/6.824-2012/labs/index.html
A drag-and-drop quantum circuit simulator that runs in your browser. A toy for exploring and understanding small quantum circuits.
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.