Udemy - Build 24 - 7 Automated Solana Memecoin Sniper Bot with Python

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size384.3 MB
  • Uploaded Byfreecoursewb
  • Downloads20
  • Last checkedJul. 25th '26
  • Date uploadedJul. 25th '26
  • Seeders 1
  • Leechers0

Infohash : 0EB52344879416D76F95797DD006CC2ACE387962

Build 24/7 Automated Solana Memecoin Sniper Bot with Python

https://WebToolTip.com

Published 7/2026
Created by Ant Cas
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 25 Lectures ( 57m ) | Size: 384.4 MB

Detect launches in seconds, buy via Jupiter, compound profits. Proven code, dry-run tested 1+ month.

What you'll learn
⚡ Build and deploy a fully automated Solana trading bot using Python 3
⚡ Implement a rug detection and token scoring system
⚡ Configure a compounding strategy with built-in risk management
⚡ Deploy and run the bot 24/7 on an Ubuntu 22.04 VPS

Requirements
❗ Basic Python knowledge (functions, classes, variables, loops). You don't need to be advanced, but you should know how to read and edit Python code. A computer with at least 8GB RAM and 50GB free disk space (Windows, Mac, or Linux). A stable internet connection for WebSocket data feeds and blockchain transactions. $5-10 in cryptocurrency (SOL + USDC) for live testing. Optional: the entire course can be completed in DRY_RUN mode with zero real money. No blockchain or crypto trading experience required. Everything is explained from scratch. That's it. No Linux experience needed (we set up Ubuntu from zero), no prior Solana knowledge, no trading background. The prerequisites are intentionally low to maximize your audience, while the "basic Python" requirement filters out people who'd get lost in the code and leave bad revie

Files:

[ WebToolTip.com ] Udemy - Build 24 - 7 Automated Solana Memecoin Sniper Bot with Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1. Introduction.mp4 (1.1 MB)
    • 1. README.md (3.0 KB)
    • 1. setup-guide.html (39.9 KB)
    • 2. Lecture 2 - What You Get With This Course.mp4 (2.5 MB)
    • 3. Lecture 3 - Course Overview.mp4 (1.5 MB)
    10 - Section 10 - The Compounding Strategy
    • 15. Lecture 15 - The 60-40 Split.mp4 (1.8 MB)
    11 - Section 11 - Risk Management
    • 16. Lecture 16 - Play Floor Loss Pause and Dead Pool.mp4 (2.1 MB)
    12 - Section 12 - Running 24-7 on a VPS
    • 17. Lecture 17 - Deploy on Ubuntu VPS.mp4 (2.1 MB)
    13 - Section 13 - Tuning and Going Live
    • 18. Lecture 18 - Go-Live Checklist.mp4 (2.0 MB)
    14 - Section 14 - Supported DEXes and Platforms
    • 19. Lecture 19 - Where the Bot Trades.mp4 (1.0 MB)
    15 - Section 15 - Risk Disclaimer and Closing
    • 20. Lecture 20 - Risk Disclaimer.mp4 (1.9 MB)
    • 21. Lecture 21 - Course Closing.mp4 (2.1 MB)
    16 - App Demo
    • 22. Starting up our VM.mp4 (2.7 MB)
    • 23. Installing the dependencies.mp4 (49.5 MB)
    • 23. README.md (3.0 KB)
    • 23. env.example.bin (0.3 KB)
    • 23. jupiter-bot-setup-slides.html (22.4 KB)
    • 23. requirements.txt (0.1 KB)
    • 24. Starting up bot application (demonstration).mp4 (287.2 MB)
    17 - Extra
    • 25. Guide - Video format.mp4 (8.4 MB)
    • 25. jupiter-bot-setup-slides.html (22.4 KB)
    2 - Section 2 System Architecture
    • 4. How the Two Scripts Work Together.mp4 (2.1 MB)
    3 - Section 3 - Environment Setup
    • 5. Lecture 5 - Python Environment and Dependencies.mp4 (927.8 KB)
    • 5. requirements.txt (0.1 KB)
    • 6. Lecture 6 - The dot env Configuration File.mp4 (1.8 MB)
    • 6. env.example.bin (0.3 KB)
    4 - Section 4 - Wallet and Blockchain Infrastructure
    • 7. Lecture 7 - Wallet and RPC Setup.mp4 (1.4 MB)
    5 - Section 5 - Token Scanner WebSocket Listener
    • 8. Lecture 8 - PumpPortal WebSocket Connection.mp4 (1.5 MB)
    • 8. token_scanner.py (24.4 KB)
    • 9. Lecture 9 - Detection Timing and Reconnection.mp4 (992.6 KB)
    6 - Section 6 - Rug Detection and Safety Filters
    • 10. Lecture 10 - Four Safety Checks.mp4 (2.4 MB)
    • 11. Lecture 11 - Filter Thresholds.mp4 (1.4 MB)
    7 - Section 7 - Token Scoring Algorithm
    • 12. Lecture 12 - Scoring System 0 to 100.mp4 (2.0 MB)
    8 - Section 8 - Jupiter Swaps Buy and Sell
    • 13. Lecture 13 - Jupiter Aggregator and Buy Flow.mp4 (2.0 MB)
    • 13. bot.py (48.1 KB)
    9 - Section 9 - Price Monitoring and Exit Strategy
    • 14. Lecture 14 - Price Monitoring and Exit Conditions.mp4 (1.6 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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