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

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.

Algorithmic trading framework for cryptocurrencies.

Limit Order Book for high-frequency trading (HFT), as described by WK Selph, implemented in Python3 and C

51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading

Open Source algo trading platform

VisualHFT is a cutting-edge GUI platform for market analysis, focusing on real-time visualization of market microstructure. Built with WPF & C#, it displays key metrics like Limit Order Book dynamics and execution quality. Its modular design ensures adaptability for developers and traders, enabling tailored analytical solutions.

Database for L2 orderbook

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

hummingbot中文资源

C++ 17 based library (with sample applications) for testing equities, futures, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. Some support for Alpaca & Phemex. Notifications via Telegram [irc: Libra #tradeframe ]

Futu Algorithmic Trading Solution (Python) 基於富途OpenAPI所開發量化交易程序

OrderBook Heatmap visualizes the limit order book, compares resting limit orders and shows a time & sales log with live market data streamed directly from the Binance WS API. This was a short exploratory project. Keep in mind that a lot of work is needed for this to work in all market conditions.

High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques

Botvana is high-performance and event-driven trading system built using Rust (in early development).

crypto currency library for trading & market making bots, account management, and data analysis

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

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

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