Open source software that helps you create and deploy high-frequency crypto trading bots

WonderTrader——量化研发交易一站式框架

Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit

A high frequency, market making cryptocurrency trading platform in node.js

Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.

Open-source Rust framework for building event-driven live-trading & backtesting systems

Algorithmic trading framework for cryptocurrencies.

wtpy是基于wondertrader为底层的针对python的子框架

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Example Order Book Imbalance Algorithm

hummingbot中文资源

Open Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM chains. Scans for edge, executes instantly, manages risk while you sleep. Agent commerce protocol for machine-to-machine payments. Self-hosted. Built on Claude.

Database for L2 orderbook

C++ interfaces used to communicate with Roq's market gateways.

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine

A股订单簿工具，使用逐笔行情进行订单簿重建、千档快照发布、各档委托队列展示等，包括python模型和FPGA HLS实现。

godzilla.dev is an open-source C++/Python infrastructure for self-hosted crypto funding rate arbitrage and market making, with ultra low-latency and enterprise private deployment

HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "

Nasdaq Order Book Reconstructor

Uses L2 data's change in time to estimate a L3 order book microstructure on Binance