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

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

Kungfu Trader

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.

WonderTrader——量化研发交易一站式框架

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

wtpy是基于wondertrader为底层的针对python的子框架

Example Order Book Imbalance Algorithm

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

Algorithmic trading framework for cryptocurrencies.

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

hummingbot中文资源

C++ interfaces used to communicate with Roq gateways.

Database for L2 orderbook

Java/MySQL real-time algorithmic trading using Interactive Brokers API

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

Nasdaq Order Book Reconstructor

A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.

NOTE: Barter-Data migrated to Barter monorepo: https://www.github.com/barter-rs/barter-rs