onchain-analysis

On-chain metrics like MVRV, NVT, and SOPR measure network valuation and investor behavior using time-series blockchain data. The analysis applies moving-average smoothing to these inputs to produce a weighted composite score and plain-language market bias conclusions.

Tracking whale activity for BTC and ETH requires analyzing large transfers, exchange inflows, outflows, and wallet clustering signals. This approach identifies major supply moves by combining transfer monitoring with network activity data to distinguish real demand from capital-driven moves.

Assess DeFi TVL and DEX liquidity shifts by inspecting pool depth, DEX volume, and stablecoin flows using on-chain data. This measures available liquidity and buying power to provide valuation context for mid- to long-term trading scenarios.

On-chain analysis is designed for mid- to long-term signal generation and research scenarios. It evaluates network activity, whale transfers, and smoothed valuation metrics like NVT to detect adoption trends and over/under-valuation invisible to price-only analysis.

Combine multiple on-chain indicators by computing MVRV, NVT, and SOPR, then applying moving-average smoothing to each. The analysis weights these smoothed metrics together to generate a standardized composite score that biases trading decisions.

You need time-series on-chain inputs including active addresses, new addresses, transaction counts, transfer values, and exchange balances. These inputs feed into the derived metrics and whale tracking required to produce a standardized snapshot table and activity summary.