How on-chain analysis works
An introduction to reading blockchain data directly — the metrics that matter, what they reveal, and their limits.
On-chain analysis reads a blockchain's public data directly to understand what participants are actually doing — not what they say. Because networks like Bitcoin are transparent, analysts can study supply, flows and holder behaviour with a precision impossible in traditional markets.
What is on-chain analysis?
Every transaction on a public blockchain is visible. On-chain analysis aggregates that raw data into metrics — how much supply is dormant, where coins are flowing, at what prices coins last moved — to infer supply-and-demand conditions and participant conviction.
Key on-chain metrics to know
- Realized cap: the network valued at each coin's last-moved price, a cost-basis view
- Long-term holder supply: coins dormant long enough to signal conviction
- Exchange flows: coins moving to exchanges (potential selling) or off them (accumulation)
- MVRV: market value versus realized value, a gauge of unrealised profit
- Active addresses: a proxy for network usage
What can on-chain data reveal?
It can show whether long-term holders are accumulating or distributing, whether coins are flowing to exchanges ahead of potential selling, and how much of the supply sits in profit or loss. These conditions inform the backdrop against which price moves.
The limits of on-chain analysis
On-chain data describes conditions, not timing, and it can mislead. Exchange internal transfers, custodial wallets and derivatives activity distort naive readings. It is context, best combined with market structure and macro — never a standalone crystal ball.
How to start
Begin with a few robust metrics rather than a wall of charts. Understand what each one actually measures and its known distortions. Our guides on realized cap and long-term holders in the newsroom show these ideas applied to live markets.
Frequently asked
What is on-chain analysis?
It is the study of a blockchain's public transaction data to understand supply, flows and holder behaviour, inferring market conditions from what participants actually do on-chain.
Can on-chain data predict price?
No. It describes supply-and-demand conditions rather than timing, and is best used as context alongside market structure and macro factors.
What is exchange flow?
Exchange flow tracks coins moving onto exchanges (often a sign of potential selling) or off them (often a sign of accumulation and self-custody).