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

A high-performance algorithmic trading platform and event-driven backtester

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 backtesting library for Python

An Algorithmic Trading Framework for Digital Currency.

Low-latency algorithmic trading platform written in Rust

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

This repository contains a crypto currency trading bot. The bot implements some strategies (donchian, ema, atr) and works on the Bitfinex crypto currency exchange.

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 draft, test, deploy and monitor trading strategies and portfolios.

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.

量化策略例子

Real-time ML trading pipeline with 50-65% directional accuracy. Advanced microstructure features, dual LightGBM models, <200ms latency. Production-ready with 4,000+ predictions/day.

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.