StateOfTheArt.quant

awesome-high-frequency-trading

sharpe

sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading

trading_gym

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

transformerquant

A framework for training and evaluating deep learning models in Quantitative trading domain

awesome-rl-for-trading

awesome reinforcement learning for trading domain

xqdata

A clean and unified API for access financial data

rebels

rebels is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading. write in C++ with python binding

StateOfTheArt.quant

State-of-the-art performance in quantitative trading domain

Anomalies-in-Finance

QuantBenchmark

libfinance

libfinance is python library for accessing financial data easily

Parallel-Distributed-and-High-Performance-Computing