Tag
#hft-trading
19 repositories
Repos
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
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.
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Ultra low latency L2/L3 orderbook in modern C++20 achieving single digit nanosecond performance
Database for crypto data, supporting several exchanges. Can be used for TA, bots, backtest, realtime trading, etc.
RTL design for a nasdaq compatible high frequency trading low level. Supports itch on moldudp64.
A vertically scalable stream processing framework focusing on low latency, helping you scale and consume financial data feeds.
Prototype market maker specialized to trade on CoinbasePro
Prototype market maker specialized to trade on CoinbasePro
Raderbot is a Rust-based trading bot designed to interact with the BingX WebSocket API for market data analysis and trading operations.
Lykke Wallet API Trading Documentation. Trading API allows you to automate trading on the Lykke HFT account.
A high-performance algorithmic cryptocurrency trading system featuring a low-latency Go backend and an interactive Python Streamlit frontend. Designed for both live and historical backtesting, the platform integrates technical analysis tools and offers a full-stack architecture for strategy development and evaluation.
End-to-end Quantitative Trading System. Research logic in Python (Pandas/Numba) compiled to a high-performance C++ execution engine. Achieves ~10ms latency via AWS Tokyo colocation.