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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
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.
Database for L2 orderbook
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. libtorch/lstm/cuda demo. 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.
Solana DeFi Bot, a cutting-edge solution for automated trading on Solana. Leveraging arbitrage, pool sniping, and staking, it delivers a 98% win rate, 80% APY, and 260% ROI (past month). Built with Node.js and integrated with Raydium, Orca, and Jupiter and more
high performance message passing library
HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
Botvana is high-performance and event-driven trading system built using Rust (in early development).
High-frequency statistical arbitrage