https://github.com/yllvar/pump-launch-analysis
Analysis Tool is designed to monitor and analyze new token launches on the Solana blockchain, with a specific focus on detecting potential scams or risky tokens. The tool performs automated analysis of token metrics, website content, and social media presence to help identify red flags commonly associated with fraudulent projects.
https://github.com/yllvar/pump-launch-analysis
Last synced: 8 months ago
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Analysis Tool is designed to monitor and analyze new token launches on the Solana blockchain, with a specific focus on detecting potential scams or risky tokens. The tool performs automated analysis of token metrics, website content, and social media presence to help identify red flags commonly associated with fraudulent projects.
- Host: GitHub
- URL: https://github.com/yllvar/pump-launch-analysis
- Owner: yllvar
- Created: 2024-12-25T08:00:49.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-25T09:59:01.000Z (over 1 year ago)
- Last Synced: 2025-05-16T13:11:26.226Z (about 1 year ago)
- Language: Python
- Size: 9.77 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Solana Token Analysis Tool
A Python-based analysis tool for monitoring and analyzing new token launches on Solana, with a focus on detecting potential risks through website content analysis and social media verification.
## Code Structure
### Core Components
```
├── main.py # Main script containing all functionality
├── .env # Environment variables (API keys)
└── README.md # Project documentation
```
### Architecture Overview
The code is organized into several key functional areas:
#### 1. Data Fetching Layer
- `fetch_data()`: Generic data fetching function with error handling
- Handles all HTTP requests with timeout management
- Implements rate limiting protection
- Centralizes error handling for API calls
#### 2. Analysis Modules
**Website Analysis**
- `detect_ai_generated_website()`: Analyzes website content for AI generation
- Uses BeautifulSoup for content extraction
- Integrates with RapidAPI's AI content detector
- Handles rate limits and API quotas
**Twitter Analysis**
- `analyze_twitter_account()`: Evaluates Twitter account metrics
- Extracts account age, followers, and engagement metrics
- Calculates risk factors based on account characteristics
- Handles API rate limits and error conditions
**URL Validation**
- `validate_url()`: Ensures URL integrity
- Validates URL structure and components
- Prevents analysis of invalid URLs
#### 3. Data Processing Layer
- `fetch_and_process_latest_data()`: Main processing pipeline
- Coordinates data collection from multiple sources
- Implements sequential analysis workflow
- Manages data integrity and validation
#### 4. Display Layer
- `display_token_info()`: Formats and presents analysis results
- Organizes data into logical sections
- Highlights potential risk factors
- Provides clear warning indicators
### Key Features
#### Token Analysis
- Market cap calculation
- Supply distribution analysis
- Reserve tracking
- Trade history monitoring
#### Risk Detection
- AI-generated content detection
- Twitter account age verification
- Follower/Following ratio analysis
- Website content analysis
#### Real-time Monitoring
- Continuous data updates
- Immediate risk notifications
- Rate limit management
- Error recovery
## API Integration
### RapidAPI Services
- AI Content Detector API
- Twitter Analysis API
- Rate limit tracking
- Error handling
### Pump.fun API
- Token data retrieval
- Price information
- Trade history
- Market metrics
### Design Patterns
1. **Singleton Pattern**
- Used for API configuration
- Ensures consistent settings
2. **Strategy Pattern**
- Flexible analysis approaches
- Modular risk detection
3. **Observer Pattern**
- Real-time monitoring
- Event-driven updates
### The code is incomplete and lack of useful values, for Future Design Considerations:
The architecture supports future enhancements:
- Additional analysis modules
- Enhanced risk detection from analyzing jito transactions, holders ratios, etc
- Extended API integration with financial metrics
- Performance optimizations# Pump-Launch-Analysis