Open source software that helps you create and deploy high-frequency crypto trading bots
-
Updated
Sep 18, 2026 - Python
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
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.
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
C++14 concurrent lock-free low-latency queue.
Algorithmic trading framework for cryptocurrencies.
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
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
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 "
To associate your repository with the hft topic, visit your repo's landing page and select "manage topics."