hummingbot / hummingbot

· Source: Github Trending: All languages · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Blockchain & Distributed Ledger Technology · Depth: Intermediate, medium

Summary

Hummingbot is an open-source framework designed for creating and deploying automated trading strategies, or bots, across various centralized and decentralized exchanges. Operating under an Apache 2.0 license, it aims to democratize high-frequency trading by fostering a global community of algorithmic traders. Over the past year, Hummingbot users have collectively generated more than $34 billion in trading volume across over 140 unique trading venues. The platform offers installation via Docker for both its CLI client and a Telegram bot called Condor, and supports integration with Gateway DEX Middleware for AMM decentralized exchanges. It provides standardized connectors for CLOB CEX, CLOB DEX, and AMM DEX types, including sponsored exchanges like Binance, BitMart, and OKX, as well as other community-maintained connectors.

Key takeaway

For AI Engineers developing automated trading systems, Hummingbot offers a robust open-source framework to rapidly deploy strategies across a wide array of centralized and decentralized exchanges. Your team can leverage its standardized connectors and Docker-based deployment to accelerate development and testing of algorithmic trading bots. Consider exploring its Gateway middleware for seamless integration with AMM DEXs to expand your trading venue options.

Key insights

Hummingbot democratizes high-frequency trading via an open-source framework for automated strategies across diverse exchanges.

Principles

Method

Install Hummingbot using Docker, optionally with Docker Compose, then attach to the running instance. For AMM DEXs, include Gateway middleware during setup.

In practice

Topics

Code references

Best for: AI Engineer, Software Engineer, Machine Learning Engineer, Data Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Github Trending: All languages.