Meme Coin Monitor

A Python application for monitoring and analyzing meme coins across different tiers with risk assessment capabilities.

Features

• Multi-tier monitoring system (Signal, Hot, Warm, Cold, Archive)
• Real-time blockchain scanning
• Risk scoring based on rugpull patterns
• Redis caching for performance optimization
• PostgreSQL storage for historical data

Setup

1. Install dependencies:

pip install -r requirements.txt

2. Configure environment variables:

• PostgreSQL connection settings
• Redis connection settings
• Blockchain node endpoints

3. Initialize database:

# Database initialization commands will be added

Architecture

Monitoring Tiers

1. Signal Tier ("Potential Pump")

   • Check Frequency: 15-30 seconds
   • Key Indicators: Whale accumulation, Smart money inflows
   • Redis Priority: Highest
   • Worker Ratio: 30% of resources

2. Hot Tier (New Tokens, 0-7 days)

   • Check Frequency: 1-5 minutes
   • Key Monitoring: Initial liquidity, Early trading patterns
   • Redis Priority: High
   • Worker Ratio: 40% of resources

3. Warm Tier (Established, 7-30 days)

   • Check Frequency: 30 minutes
   • Key Monitoring: Stable liquidity levels, Normal trading
   • Redis Priority: Medium
   • Worker Ratio: 20% of resources

4. Cold Tier (Mature, 30+ days)

   • Check Frequency: 6 hours
   • Key Monitoring: Basic activity check
   • Redis Priority: Low
   • Worker Ratio: 10% of resources

5. Archive Tier (Inactive/Rugged)

   • Storage: PostgreSQL only
   • Used for historical analysis and pattern recognition