Glassnode
The industry-standard on-chain analytics suite, covering whale holdings, exchange flows, miner behavior and macro cycle indicators.
About this site
Glassnode is a flagship name in on-chain analytics for crypto, founded in Europe and operated independently. Its core mission is to convert raw activity on Bitcoin, Ethereum and major public chains into readable market metrics for researchers, quantitative teams, media outlets and institutional investors.
The product breaks into four parts. Base chain data: active addresses, new addresses, transaction volume, miner and validator behavior, UTXO age bands. Derived indicators: NUPL, MVRV, SOPR, Realized Cap, long- and short-term holder cohorts and other on-chain valuation and sentiment models that have become industry standards. Exchange flows: exchange reserves, net inflows and outflows, stablecoin reserves, derivatives open interest. Developer- and institution-facing API, CSV export and bespoke data delivery.
Three audience profiles are well served. Researchers writing market-structure reports want chain-level primitives backed by a transparent methodology. Quantitative teams build on-chain signals as inputs to their strategies. Media and community discussions cite its charts when interpreting whether whales are distributing or miners are pressing supply.
Its differentiator is original metrics paired with methodological transparency. Other on-chain providers such as CryptoQuant cover overlapping ground, but Glassnode's metric framework maturity, long-history back-test surface and proximity to academic literature place it at the frontier — many of the cycle-top and cycle-bottom signals used across the industry trace back to its definitions.
Limitations and caveats: the full indicator library and high-frequency cadence sit behind a paid Professional tier, and the free plan surfaces core indicators only on delayed data; on-chain indicators are statistical descriptions of past and current behavior, blind to non-chain factors such as regulation, macro and liquidity events, and single-indicator signals can fail during structural shifts; any reading or chart on the site is a research aid and does not constitute investment advice. Crypto-asset volatility means on-chain signals themselves can generate noise under extreme conditions.