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hft-trading
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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.
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
Example Order Book Imbalance Algorithm
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.
Pump.fun AMM automation, advanced sniping module with frontrunning, automated dynamic TWAP for large orders, high‑frequency trading bot, institutional Solana arbitrage bot, Raydium arbitrage bot, Orca TWAP execution software, Anchor‑powered liquidity mining, ultra‑low latency Solana trading algorithms, whale orders sniping
Ultra-fast Limit Order Book for Node.js written in TypeScript for high-frequency trading (HFT) 🚀🚀
The idiomatic rust implementation of the QuantLib C++ quantitative finance library
Cross Exchange/Hedged market making Trading Bot in C++
Database for crypto data, supporting several exchanges. Can be used for TA, bots, backtest, realtime trading, etc.
Limit Order Book Implemented in Python
Neural Network for HFT-trading [experimental]
DistributedATS is a FIX Protocol based multi matching engine exchange(CLOB) that integrates QuickFIX and LiquiBook over DDS
OrderBook Simulator with Limit and Iceberg functionality
Personal Project that implements a variety of HFT strategies in C++