Hyperliquid On-Chain Analytics
Automated pipeline crawling, indexing, and ranking 100K+ on-chain records with multi-factor scoring served via production-grade APIs.
The Challenge
Hyperliquid's on-chain data was publicly available but raw and unstructured. The client needed a way to identify consistently profitable traders for copy-trading and market intelligence.
Approach & Solution
Built an automated data pipeline that crawls Hyperliquid on-chain trading data, normalizes it into a structured database, and runs ranking algorithms to score traders by PnL, win rate, risk-adjusted returns, and consistency.
Results & Impact
- Indexed and analyzed 100K+ on-chain trading records
- Ranked top traders with multi-factor scoring algorithm
- Automated daily data refresh with incremental crawling
- Client used insights to inform copy-trading strategies
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