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 and Bybit

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

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

Algorithmic trading framework for cryptocurrencies.

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

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VisualHFT is a WPF/C# desktop GUI that shows market microstructure in real time. You can track advanced limit‑order‑book dynamics and execution quality, then use its modular plugins to shape the analysis to your workflow.

Open Source algo trading platform

Database for L2 orderbook

hummingbot中文资源

C++ 17 based library (with sample applications) for testing equities, futures, currencies, 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

A high-performance library for develop Solana Trading Strategies: CLI, gRPC bots, low-latency integrations with Jito, Nozomi, DEXes, and local PostgreSQL database support.

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

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

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.

Order Book Imbalance Sniper Bot is a simple and effective tool to automate trading on the decentralized exchange Hyperliquid. The bot monitors the order book in real time, identifies imbalances between buy and sell order volumes, and executes trades based on user-defined parameters.

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

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

High-frequency statistical arbitrage

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