Pinned Repositories
EliteQuant_Cpp
C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.
EliteQuant_Python
Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.
kungfu
Kungfu Trader
Lean
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)
pytorch-in-action
qstrader
QuantStart.com - Advanced Trading Infrastructure
vectorbt
Python library for backtesting and analyzing trading strategies at scale
vnpycn
基于python的开源量化交易平台开发框架
hftbacktest
A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures
chihyanghsu's Repositories
chihyanghsu/EliteQuant_Cpp
C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.
chihyanghsu/EliteQuant_Python
Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.
chihyanghsu/kungfu
Kungfu Trader
chihyanghsu/Lean
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)
chihyanghsu/pytorch-in-action
chihyanghsu/qstrader
QuantStart.com - Advanced Trading Infrastructure
chihyanghsu/vectorbt
Python library for backtesting and analyzing trading strategies at scale
chihyanghsu/vnpycn
基于python的开源量化交易平台开发框架