A web application that analyzes Ethereum wallet addresses and calculates a DeFi Strategy Score based on transaction patterns, protocol interactions, and asset holdings.

• DeFi Strategy Score: Calculate a score from 25-100 based on four key pillars
• Real-time Analysis: Uses Bitquery APIs to fetch live blockchain data
• Comprehensive Metrics:
  • Transaction count and activity level
  • Diversity of DeFi interactions (8 activity types)
  • Protocol usage across major DeFi platforms
  • Asset portfolio diversity (ERC-20 tokens and NFTs)
• Modern Web Interface: Clean, minimal UI with detailed explanations and FAQ

1. Install dependencies:

pip install -r requirements.txt

2. Create a .env file in the project root:

BITQUERY_API_KEY=your_bitquery_api_key_here

3. Run the Flask application:

python app.py

4. Open your browser and navigate to:

http://localhost:5000

1. Enter an Ethereum address in the search box
2. Click "Analyze" to calculate the DeFi Strategy Score
3. View detailed breakdown of all four pillars (P1-P4)
4. Read the FAQ section for more information

You can also use the CLI tool directly:

python defi_tracker.py 0x6979B914f3A1d8C0fec2C1FD602f0e674cdf9862

The DeFi Strategy Score is calculated using:

Formula: 25 (Base Score) + (Average Pillar Score × 0.75)

Four Pillars:

• P1: Transaction Count - Measures overall activity (0-10 TXs = 0 points, 100+ TXs = 100 points)
• P2: Transaction Types - Measures diversity (1 type = 0 points, 5+ types = 100 points)
• P3: Protocols Used - Measures ecosystem engagement (1 protocol = 0 points, 8+ protocols = 100 points)
• P4: Assets Held - Measures portfolio diversity (1 asset = 0 points, 15+ assets = 100 points)

All blockchain data is sourced from Bitquery, a leading blockchain data analytics platform. The application queries Ethereum mainnet data including:

• Transaction history
• Smart contract interactions
• Token balances
• NFT holdings

• No wallet addresses are stored or logged
• All analysis is performed in real-time
• Only publicly available on-chain data is accessed

• Python 3.7+
• Bitquery API key
• Internet connection for API calls

This project is provided as-is for analysis purposes.