Build 24/7 Automated Solana Memecoin Sniper Bot with Python.

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.

Throughout the course, you'll build and explore two core files. The first is token_scanner python script, a high-speed WebSocket listener responsible for monitoring new token launches, filtering noise, and surfacing only the candidates worth evaluating. The second is bot python script, the automated trading engine responsible for trade execution, position management, configurable compounding, logging, and risk controls. You'll learn how each module communicates with the other, how data flows through the system, and how to configure the entire application using a simple .env file without ever touching the source code.

Beyond programming, the course covers the full deployment lifecycle: Linux fundamentals, VirtualBox setup, Ubuntu installation, VPS deployment, automated startup on boot, structured logging, JSON journals, CSV trade history exports, and techniques for running the application continuously and reliably on an affordable cloud server — so your bot keeps working even when your laptop is closed.

You'll also learn essential concepts every crypto trader should understand: rug pulls, honeypots, liquidity risks, stop-loss strategies, capital allocation, position sizing, and why disciplined risk management is the foundation of any automated trading system — not an afterthought.

By the end of this course, you'll have a fully functioning Python project running on your own VPS, a clear understanding of how each component works internally, and the confidence to customize, extend, and adapt the bot to your own ideas and strategies.

What you'll receive:

• Complete Python source code

• Step-by-step video lessons

• Configuration templates

• VPS deployment guide

• Ubuntu setup instructions

• Beginner-friendly explanations throughout

Educational Disclaimer: This course is intended for educational purposes only and does not provide financial or investment advice. Cryptocurrency markets are highly volatile and involve significant risk. No trading bot or strategy can guarantee profits or prevent losses. Always perform your own research and only trade with funds you can afford to lose.