Hyperliquid Funding Rate Analyzer

Real-time analysis of perpetual funding rates on Hyperliquid DEX

A Python CLI tool that identifies arbitrage opportunities by analyzing funding rate patterns across all perpetual markets. Built with real API integration, statistical analysis, and clean output formatting.

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🎯 What It Does

1. Fetches live data from Hyperliquid's public API
2. Calculates annualized funding rates from 8-hour periods
3. Ranks assets by absolute funding magnitude
4. Identifies arbitrage opportunities where funding rates are extreme
5. Exports results to CSV for further analysis

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🚀 Quick Start

# Basic analysis (top 20 assets)
python3 funding_analyzer.py

# Show top 30 with verbose logging
python3 funding_analyzer.py --top 30 --verbose

# Export results
python3 funding_analyzer.py --export funding_report.csv

# Find high-conviction opportunities (>0.2% 8H rate)
python3 funding_analyzer.py --threshold 0.002

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📊 Sample Output

🔍 Analyzing current funding rates...

📊 Top 20 Assets by Funding Rate:

------------------------------------------------------------------------------------------
Coin       8H Rate      Annual %     Price        Direction      
------------------------------------------------------------------------------------------
DOGE         0.001250       136.88    $0.08       LONG_PAYS      
PEPE         0.000980       107.16    $0.00       LONG_PAYS      
WIF         -0.000850       -93.08    $1.85       SHORT_PAYS     
...

📈 Summary:
  • Total assets: 147
  • Positive funding (longs pay shorts): 89
  • Negative funding (shorts pay longs): 58
  • Mean 8H funding rate: 0.000123
  • Median 8H funding rate: 0.000089

💡 Arbitrage Opportunities (|funding| > 0.10%):

==================================================================================

DOGE:
  • 8H Rate: 0.001250 (+136.88% annualized)
  • Price: $0.08
  • 🔴 SHORT + earn funding from longs
  • Risk: Avoid if strong uptrend (funding can stay high)

WIF:
  • 8H Rate: -0.000850 (-93.08% annualized)
  • Price: $1.85
  • 🟢 LONG + earn funding from shorts
  • Risk: Avoid if strong downtrend (funding can stay negative)

==================================================================================

✅ Analysis complete.

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🔧 Dependencies

pip install requests pandas

No API keys required — uses public endpoints.

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📁 Project Structure

hyperliquid-funding-analyzer/
├── funding_analyzer.py    # Main CLI tool
├── README.md              # This file
└── requirements.txt       # Python dependencies

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🎓 Technical Skills Demonstrated

• API Integration: REST API calls with requests library
• Data Analysis: Pandas DataFrames, statistical calculations
• CLI Design: argparse with subcommands and help docs
• Error Handling: Graceful failures with user-friendly messages
• Code Quality: Type hints, docstrings, modular class design
• Financial Concepts: Funding rates, annualization, arbitrage detection

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💡 Use Cases

• Traders: Identify funding rate arbitrage opportunities
• Researchers: Analyze market sentiment via funding imbalances
• Bot Developers: Integrate as signal source for automated strategies
• Portfolio Project: Demonstrates real-world quant/trading system skills

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🛠️ Future Enhancements

• Historical funding rate trends (time-series visualization)
• Alert system for extreme funding spikes
• Cross-exchange funding comparison (Hyperliquid vs. Binance/Bybit)
• Backtesting module for funding arbitrage strategy
• WebSocket support for real-time monitoring

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📜 License

MIT License — Free to use and modify.

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Author: Yumo Xu
Created: March 13, 2026
Portfolio: GitHub Profile