Analyze BTC and ETH on-chain metrics to generate trading signals.
npx skills add https://github.com/HKUDS/Vibe-Trading --skill onchain-analysis
Please help me install this Agent Skill. Skill: onchain-analysis Source: https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/onchain-analysis Command: npx skills add https://github.com/HKUDS/Vibe-Trading --skill onchain-analysis
This Skill consolidates on-chain blockchain metrics into coherent signals so crypto traders avoid being misled by price-only narratives and instead act on structural demand and supply shifts.
Generate an on-chain analysis report for BTC that summarizes MVRV, NVT, SOPR, active addresses, and whale transfers.
High-intent search queries and answers about installing and using this skill.
On-chain signals analyze blockchain metrics like network activity, whale flows, and DeFi liquidity to reveal structural supply and demand shifts. This helps crypto traders avoid misleading price-only narratives and justify positioning decisions using actual network data.
To generate a bullish bias report for BTC, analyze valuation metrics like MVRV, NVT, SOPR, and Puell multiple. Apply historical thresholds and composite scoring rules to these network indicators to justify scaling long exposure.
Yes, you can track whale transfers and stablecoin liquidity for ETH market research. Monitor whale tiers, large transfer flows, and DEX depth to read supply-side pressure and capital allocation decisions effectively.
On-chain analysis works for distinguishing organic adoption from capital-driven moves by tracking active and new addresses, transaction counts, and activity-to-price ratios. This network activity monitoring reveals genuine user engagement versus purely speculative capital.
The best way to analyze exchange balances and DEX depth is consolidating them into a valuation scoring framework. Apply metrics like reserve risk and SOPR alongside TVL and stablecoin liquidity data to read supply-side pressure accurately.
You should not rely solely on on-chain metrics when structural blockchain data lags sudden market shocks or low-liquidity altcoin environments. On-chain analysis is most effective for BTC and ETH where network activity reliably reflects macro supply shifts.
ebrahim-saniAnalyzes on-chain metrics to generate signal tables and plain-language conclusions.
wudyeInterpret blockchain activity and valuation metrics into a composite weighted trading bias score.
XSpoonAiAggregate on-chain, social, and technical data into JSON trading signals.
6551TeamFetch live on-chain market data and token price analysis from blockchain networks.
