analyzing-on-chain-data

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Process perform on-chain analysis including whale tracking, token flows, and network activity. Use when performing crypto analysis. Trigger with phrases like "analyze crypto", "check blockchain", or "monitor market".

AI & Automation 2,266 stars 315 forks Updated today MIT

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# Analyzing On-Chain Data ## Overview Analyze DeFi protocol metrics, chain-level TVL, fee revenue, DEX volumes, yield opportunities, and stablecoin market caps using DeFiLlama as the primary data source. Designed for DeFi researchers, protocol analysts, and yield farmers who need programmatic access to on-chain analytics without writing custom subgraph queries. ## Prerequisites - Python 3.8+ with `requests` library installed - DeFiLlama API access (free, no key required for most endpoints) - Optional: CoinGecko API key for supplementary token price data - `onchain_analytics.py` CLI script available in the plugin directory - `data_fetcher.py` and `metrics_calculator.py` modules for programmatic usage ## Instructions 1. Run `python onchain_analytics.py protocols` to retrieve the top DeFi protocols ranked by total value locked (TVL). 2. Filter protocol results by category using `--category lending`, `--category dex`, or `--category "liquid staking"` to narrow the scope. 3. Filter by chain with `--chain ethereum` or `--chain arbitrum` to isolate chain-specific protocol data. 4. Sort results by alternative metrics using `--sort market_share` or `--sort tvl_to_mcap` to surface undervalued protocols. 5. Run `python onchain_analytics.py chains` to retrieve chain-level TVL rankings across all tracked networks. 6. Run `python onchain_analytics.py fees --protocol aave` to pull fee and revenue data for a specific protocol. 7. Run `python onchain_analytics.py dex --chain ethereum` t...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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