Open source software that helps you create and deploy high-frequency crypto trading bots
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
The unofficial Python client for the Coinbase Pro API
Limit Order Book for high-frequency trading (HFT), as described by WK Selph, implemented in Python3 and C
🦄 The unofficial Python client for the Uniswap exchange.
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
High performance components for building Trading Platform such as ultra fast matching engine, order book processor
Example Order Book Imbalance Algorithm
Database for L2 orderbook
Trading bot implemented in Rust, with market making and strategy automation for any exchange or blockchain.
An Open Source Cryptocurrency Exchange
Matching Engine for Limit Order Book in Golang
financial exchange written in Go, designed for algorithmic trading tests
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.
Basic order matching engine written in Rust
Exchange Starter Kit to run your own Digital Asset Trading Exchange Platform
A very light matching engine in Python.
Convenient access to tick-level real-time and historical cryptocurrency market data via Node.js
📖 An Order Book app built with React/Typescript and powered by WebSockets.
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