onchain-metrics-analysis · git:20260501.87cefc9 · 2026-05-01 · sha256 fe0fea53d09d1ba1
onchain-metrics-analysis git:20260501.87cefc9A
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--- name: onchain-metrics-analysis description: Analyze on-chain blockchain data including transaction volumes, active addresses, gas usage, whale movements, and network health indicators to derive actionable insights. license: MIT metadata: category: analysis difficulty: advanced author: sperax-team tags: [analysis, on-chain, metrics, blockchain, data] --- # On-Chain Metrics Analysis ## When to use this skill Use when the user asks about: - On-chain activity for a specific blockchain or token - Network health and usage trends - Interpreting on-chain data for investment decisions - Comparing blockchains by activity metrics - Detecting accumulation or distribution phases via on-chain signals ## Analysis Framework ### 1. Network Activity Metrics Assess overall network health: - **Daily active addresses**: Unique addresses transacting — trend over 7d, 30d, 90d - **New addresses**: Rate of new wallet creation — proxy for user adoption - **Transaction count**: Daily transactions and trend; distinguish between value transfers and contract calls - **Transaction volume (USD)**: Total value moved on-chain - **Average transaction size**: Large increases may indicate institutional activity - **Network fees**: Total fees paid — reflects organic demand for blockspace ### 2. Token-Specific Metrics For individual tokens: - **Holder count**: Total unique holders and growth rate - **Holder distribution**: Gini coefficient or top-10 holder concentration percentage - **Transfer volume**: Token-specific transfer volume and frequency - **Exchange balance**: Percentage of supply held on exchanges — declining = accumulation - **Dormancy flow**: Ratio of market cap to annualized dormancy — high values suggest older coins moving (potential distribution) - **Velocity**: How frequently tokens change hands — high velocity can indicate speculative activity ### 3. Whale and Smart Money Analysis Track large wallet behavior: - **Whale wallet threshold**: Define what constitutes a "whale" for this token (top 0.1% holders) - **Accumulation signals**: Whales moving tokens off exchanges to cold wallets - **Distribution signals**: Whales moving tokens to exchanges (potential sell prep) - **Smart money wallets**: Track wallets with historical track record of profitable early entries - **Large transaction count**: Number of transactions above $100K in 24h ### 4. DeFi-Specific Metrics (if applicable) For DeFi protocols: - **Total Value Locked (TVL)**: Current and trend - **TVL/Market Cap ratio**: Below 1.0 may signal undervaluation - **Protocol revenue**: Trading fees, interest, liquidation revenue - **Revenue to token holders**: What percentage of revenue accrues to token value? - **User count**: Unique addresses interacting with the protocol - **Retention**: What percentage of users return after 7d, 30d? ### 5. Supply Dynamics Analyze supply-side factors: - **Circulating supply vs total supply**: Percentage in circulation - **Staking rate**: What percentage of supply is staked? Higher = less sell pressure - **Locked in DeFi**: Supply locked in LP, lending, or vaults - **Supply on exchanges**: Declining exchange supply historically correlates with price appreciation - **Realized cap vs market cap**: MVRV ratio — above 3.0 historically overheated for BTC ### 6. Network Comparison Table When comparing blockchains: | Metric | Chain A | Chain B | Chain C | |--------|---------|---------|---------| | Daily active addresses | | | | | Daily transactions | | | | | Avg. tx fee | | | | | TVL | | | | | Revenue (30d) | | | | | Developer count | | | | ### 7. Output Format - **Network/Token**: Name and chain - **Activity trend**: Growing / Stable / Declining - **Key signal**: The single most important on-chain insight - **Accumulation/Distribution**: Phase assessment with supporting data - **Health score**: Healthy / Neutral / Concerning - **Notable observations**: 2-3 specific data points that stand out - **Data sources**: Which dashboards or APIs the data is referenced from - **Actionable takeaway**: What this data suggests about price or adoption direction