Token-to-Token Prices OHLC | Ethereum EVM Blockchain Data

BlockDB/Token-to-Token Prices OHLC | Ethereum EVM Blockchain Data is a Crypto & On-Chain data product listed on Snowflake Marketplace and indexed by The Alternative Data Encyclopedia.

Onchain OHLCV bars (1 min-1 day) from AMM swap events. Direction-consistent across EVM chains.

Compliance firms built the first address-entity maps for anti-money-laundering work in the 2010s, and after the 2017 bull cycle crypto funds repurposed the same graphs as trading signals. On-chain indicators such as exchange balances and realized capitalization became standard cycle dashboards, and institutional adoption added regulated reference rates, ETF flow data and CME positioning to the toolkit.

The signal

On-chain analytics fused with exchange market data for digital assets: wallet flows, network activity, supply dynamics and derivatives positioning across venues. Blockchains publish every transaction publicly, so the category offers total-transparency measurement of holder behavior that equities markets cannot replicate.

Flows are visible before the market fully prices them: sustained exchange outflows indicate self-custody accumulation, large realized-loss spending marks capitulation zones, and cost-basis maps identify price levels where holder cohorts break even. Funding-rate extremes and liquidation cascades flag leverage unwinds in advance, while stablecoin floats gauge deployable liquidity. Crypto-native funds run these metrics as systematic regime signals alongside discretionary catalyst work. Raw layers include address-level transaction graphs, composite prices built from hundreds of centralized and decentralized exchanges, order-book snapshots and derivatives series such as open interest, funding rates and options skew. Derived metrics cluster addresses into entities, track exchange inflows and outflows, compute realized profit-and-loss cohorts and cost-basis distributions, and now extend to ETF flows and treasury holdings.

Data characteristics and access

Last updated: 2026-04-06.

Vendors operate full nodes and indexers for major chains, ingest normalized trade and order-book data through venue APIs, and apply entity-clustering heuristics seeded with labeled addresses for exchanges, miners and funds. Robust providers construct reference prices resistant to manipulated venue volume and document methodologies for benchmark compliance. Metrics ship as time series with over a decade of history on mature chains, delivered through studios, APIs and warehouse integrations.

Caveats and compliance

Address labeling is heuristic and incomplete, so entity-level conclusions carry uncertainty. Cross-chain bridges obscure true flows, self-reported venue volumes can be inflated, and identical metric names hide divergent vendor definitions. Small-chain coverage decays quickly after hype cycles end.

Analyzing public ledgers is lawful, but enriching wallet addresses with identities raises GDPR questions in Europe and may trigger sanctions-screening obligations. Index products fall under benchmark-regulation regimes, and surveillance-grade clients require auditable methodology documentation.

Who uses this signal

Digital-asset funds and market makers treat ledger flows as pre-price positioning data; multi-asset macro desks monitor Bitcoin metrics as a liquidity and risk-appetite input. Banks and custodians buy the same infrastructure for valuation and surveillance.

Complementary signals

This kind of signal pairs naturally with adjacent categories of the encyclopedia:

Further reading