Algorithmic Trading Engine GitHub Repositories

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Production-grade Rust-native trading engine with deterministic event-driven architecture

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

A nimble options research and backtesting library for Python

数字货币量化交易学习框架

异步事件驱动/量化交易/做市系统/策略研究/策略回测

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

泉金盈量化平台官方策略开发工具包，基于 .NET 9.0，提供标准化的量化策略开发接口，支持加密货币、股票、期货等多市场交易。

backtrader接入国内期货实盘交易

💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架

Lucky is a reactive and async trading framework in Julia designed to rapidly design, deploy, and monitor trading strategies and portfolios.

Design, Test & Optimize Powerful Algorithms with Full Control

An algorithmic trading framework for pydata.

🦙 A cute and cuddly multi-platform cryptocurrency quant trading engine.

Customizable Azure serverless platform for automated, algorithmic trading. Implemented in C#, using Azure storage.

A Go-based trading system with modular strategies, risk management, and exchange integration.

量化策略例子

📊 Automate stock analysis from data collection to risk assessment and transaction reporting with this comprehensive workflow.

Automated MT5 bot with drawdown protection and audit logs for prop firm challenge

WaspBot is a high-performance trading bot library written in TypeScript, providing the essential building blocks for creating, testing, and running algorithmic trading strategies across multiple exchanges.