Pump.fun Risk Analyzer 🛡️

A comprehensive risk analysis and detection system for pump.fun tokens, designed to protect users from rug pulls, honeypots, and other malicious activities.

⚠️ Disclaimer

This tool is designed for educational and protective purposes only. It helps users identify potentially risky tokens and make informed decisions. This is NOT a trading bot or profit-generating system.

🎯 Mission

To create a safer DeFi environment by providing transparent risk analysis and early warning systems for pump.fun tokens.

✨ Features

🔍 Risk Detection

• Holder Concentration Analysis - Identifies tokens with centralized supply
• Liquidity Monitoring - Tracks LP token movements and lock status
• Wash Trading Detection - Identifies artificial volume patterns
• Honeypot Detection - Tests if tokens can be sold
• Bundler Activity Detection - Identifies coordinated buying patterns

📊 Analytics Dashboard

• Real-time risk scoring
• Historical pattern analysis
• Token holder distribution
• Volume authenticity metrics
• Social sentiment analysis

🚨 Alert System

• Real-time risk notifications
• Customizable alert thresholds
• Multi-channel notifications (Discord, Telegram, Email)
• Risk level classification

🔒 Security Features

• Read-only analysis (no trading capabilities)
• Transparent methodology
• Open-source detection algorithms
• Community-driven improvements

🏗️ Architecture

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   Data Sources  │    │  Analysis Engine │    │   Dashboard     │
│                 │    │                  │    │                 │
│ • Pump.fun API  │───▶│ • Risk Scoring   │───▶│ • Real-time UI  │
│ • On-chain Data │    │ • Pattern Detect │    │ • Alerts        │
│ • Social Media  │    │ • ML Models      │    │ • Reports       │
└─────────────────┘    └──────────────────┘    └─────────────────┘

🚀 Quick Start

Prerequisites

• Node.js 18+
• Python 3.8+
• Solana CLI tools
• Access to Solana RPC endpoint

Installation

1. Clone the repository

   git clone https://github.com/yourusername/pumpfun-risk-analyzer.git
   cd pumpfun-risk-analyzer

2. Install dependencies

   # Frontend
   cd frontend
   npm install
   
   # Backend
   cd ../backend
   pip install -r requirements.txt

3. Configure environment

   cp .env.example .env
   # Edit .env with your configuration

4. Start the application

   # Start backend
   cd backend
   python main.py
   
   # Start frontend (in new terminal)
   cd frontend
   npm start

📋 Risk Detection Rules

1. Holder Concentration

• High Risk: Top 5 holders > 70% of supply
• Medium Risk: Top 5 holders 40-70% of supply
• Low Risk: Top 5 holders < 40% of supply

2. Liquidity Analysis

• High Risk: LP removed within 24 hours
• Medium Risk: LP removed within 48 hours
• Low Risk: LP locked or not removed

3. Volume Authenticity

• High Risk: >80% volume from <5 addresses
• Medium Risk: 60-80% volume from <10 addresses
• Low Risk: <60% volume from diverse addresses

4. Honeypot Detection

• High Risk: Transfer/sell functions revert
• Low Risk: All functions work normally

🔧 Configuration

Environment Variables

# Solana Configuration
SOLANA_RPC_URL=https://api.mainnet-beta.solana.com
SOLANA_WS_URL=wss://api.mainnet-beta.solana.com

# Database
DATABASE_URL=postgresql://user:pass@localhost/pumpfun_analyzer

# API Keys
PUMPFUN_API_KEY=your_api_key
TWITTER_API_KEY=your_twitter_key

# Alert Configuration
DISCORD_WEBHOOK_URL=your_discord_webhook
TELEGRAM_BOT_TOKEN=your_telegram_token

📊 API Endpoints

Risk Analysis

GET /api/token/{token_address}/risk
POST /api/token/analyze
GET /api/token/{token_address}/holders
GET /api/token/{token_address}/transactions

Alerts

GET /api/alerts
POST /api/alerts/subscribe
DELETE /api/alerts/{alert_id}

🧪 Testing

# Run tests
npm test
python -m pytest backend/tests/

# Run with coverage
npm run test:coverage
python -m pytest --cov=backend backend/tests/

📈 Roadmap

Phase 1: Core Detection (Current)

• Basic risk scoring
• Holder concentration analysis
• Liquidity monitoring
• Web dashboard

Phase 2: Advanced Analytics

• Machine learning models
• Social sentiment analysis
• Historical pattern recognition
• Mobile app

Phase 3: Community Features

• Community reporting system
• Token verification badges
• Educational resources
• API for third-party integrations

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Setup

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

⚖️ Legal Notice

This tool is for educational and protective purposes only. Users are responsible for their own investment decisions. The developers are not liable for any financial losses.

🆘 Support

• Documentation: Wiki
• Issues: GitHub Issues
• Discord: Community Server
• Email: support@pumpfun-analyzer.com

🙏 Acknowledgments

• Solana Foundation for the blockchain infrastructure
• Pump.fun for the trading platform
• Open source community for various libraries and tools

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Remember: This tool is designed to protect users, not to exploit them. Use responsibly and in accordance with all applicable laws and regulations.