Have you ever wondered how automated trading bots monitor newly launched memecoins faster than a human ever could? In this hands-on course, you’ll learn how to build, understand, configure, and deploy a complete Python trading bot that monitors pump dot fun in real time using WebSocket technology.
Rather than spending hours watching token launches manually, you’ll discover how an automated system can detect new tokens in under one second, evaluate them using configurable scoring and risk-management rules, and execute trades through Jupiter’s swap aggregator based on your own strategy. Every component is explained step by step so you understand not only how it works, but also how to customize and improve it.
This course is entirely project-based. You’ll work with production-style Python code instead of toy examples or isolated code snippets. The included source code has been extensively tested in DRY_RUN mode on Ubuntu 22.04 before being released, giving you a structured, practical implementation to learn from rather than a fragile proof-of-concept.
