A high frequency, market making cryptocurrency trading platform in node.js

Kungfu Trader

Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.

Example Order Book Imbalance Algorithm

Database for L2 orderbook

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

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

Algorithmic trading framework for cryptocurrencies.

Bot18 is a high-frequency cryptocurrency trading bot developed by Zenbot creator @carlos8f

Java/MySQL live algorithmic trading using Interactive Brokers API

Algorithmic trading strategies

API for algorithmic and high-frequency trading

WonderTrader——量化研发交易一站式框架

hummingbot中文资源

Automatic Cryptocurrency Trading System by using Bithumb API

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

A library for parsing FIX (Financial Information eXchange) protocol messages.

Collection of documents related tunings for performance of Java low-latency trading systems: from hardware up to application level

Nasdaq Order Book Reconstructor

Samples demonstrating how to implement various features of algorithmic trading

Limit Order Book Implemented in Python

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

Prototype market maker specialized to trade on CoinbasePro

Fast FIX (Financial Information Exchange) protocol parser [FFP]

Go implementation of the FAST Protocol (FIX Adapted for STreaming)

A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.

High-throughput / low-latency C++ application framework

Prototype market maker specialized to trade on CoinbasePro

General information about the Open Markets Initiative

Quantitative Trading Library