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CryptoQuant now supplies CME Group’s Datamine with on‑chain metrics, giving institutions real‑time blockchain insight and expanding crypto data services.
On‑chain analysis has moved from niche hobby to institutional backbone, highlighted by CryptoQuant becoming the official on‑chain data provider for CME Group’s Datamine platform [3].
| At a glance | |
|---|---|
| Provider | CryptoQuant |
| Institutional client | CME Group’s Datamine |
| Data focus | Transaction volumes, active wallet counts |
| Use case | Real‑time market insight for professional investors |
CryptoQuant’s role with CME signals that on‑chain metrics—once the preserve of individual traders—are now trusted by major financial institutions. The platform delivers “unified and modular data solutions” that combine raw blockchain data with proprietary metrics, enabling “data‑driven decisions for crypto markets” [2]. By feeding CME’s Datamine, CryptoQuant gives institutional players access to block‑level resolution and low‑latency data, a capability previously limited to large trading funds.
On‑chain analysis means extracting publicly available blockchain information—transactions, wallet addresses, transfer amounts—and turning it into actionable insights [1]. For example, rising transaction volumes and an increase in active Bitcoin wallet addresses have historically coincided with price uptrends, as shown by a 13‑year chart where user growth paralleled Bitcoin’s rally [1]. Tools range from simple blockchain explorers like Etherscan, which display live transaction counts, to sophisticated dashboards such as Dune Analytics that visualize token‑specific metrics and staking whale activity [1].
Beyond basic explorers, platforms now offer no‑code analytics, pre‑built charts, and APIs that let users customize metrics without coding [2]. CryptoQuant’s “address labels & cohorts” feature tracks top entities, while its “high‑resolution, full‑history” data supports both short‑term trading signals and long‑term fundamental research. The growing ecosystem of dashboards—e.g., WooFi’s staking view on Dune—illustrates how on‑chain data can complement traditional financial analysis, providing a fuller picture of tokenomics and network health [1].
The CME‑CryptoQuant link underscores that on‑chain analysis is becoming a standard data source for professional investors, blurring the line between crypto‑specific research and mainstream financial analytics. As more institutions adopt these tools, the depth and speed of market insight will likely increase, raising the bar for both retail and professional traders.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 3 outlets · Aug 1, 2026 · How we report
Sources describe raw transaction data, aggregated metrics such as active addresses, and entity-specific data that tracks wallets or contracts.
CryptoQuant provides modular data solutions and APIs, while Waves offers live insights, custom reports, and developer SDKs.
It offers real-time, tamper-proof records that increase transparency and reduce delays compared to traditional financial statements.
CryptoQuant offers no-code, drag-and-drop interfaces, and Waves provides user-friendly dashboards to simplify data exploration.
Commonly mentioned networks include Bitcoin, Ethereum, Solana, Polygon, and the Waves blockchain.