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.

Algorithmic trading framework for cryptocurrencies.

The Go FIX Protocol Library 🚀

Example Order Book Imbalance Algorithm

A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio

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

A very light matching engine in Python.

A high-frequency Polymarket trading bot that leverages real-time price monitoring, automated spike detection, and smart order execution to capitalize on market inefficiencies, built with Python, Web3, and advanced threading for optimal performance.

Ultra-fast Limit Order Book for Node.js written in TypeScript for high-frequency trading (HFT) 🚀🚀

Ultra low latency L2/L3 orderbook in modern C++20 achieving single digit nanosecond performance

The idiomatic rust implementation of the QuantLib C++ quantitative finance library

Node.js crypto trading bot. Spot and derivative markets: Binance, Bybit, Ftx, Bitmex ...

非平衡订单流高频交易模型

Database for crypto data, supporting several exchanges. Can be used for TA, bots, backtest, realtime trading, etc.

Limit Order Book Implemented in Python

DistributedATS is a FIX Protocol based multi matching engine exchange(CLOB) that integrates QuickFIX and LiquiBook over DDS

Neural Network for HFT-trading [experimental]

Sub-microsecond bare-metal execution engine with deterministic replay, lock-free order path, and hardware-timestamped latency measurement.