Crypto · Pro · 4 min

On-chain data basics

You can name common on-chain measures, explain what they can show about crypto markets, and describe their limits.

Everything is visible

In the stock market, you rarely see who is buying or selling. On a public blockchain, every transfer between addresses is recorded and visible to anyone who looks.

That transparency has created a whole field of analysis, with dashboards, charts and alerts about whales and flows. This lesson explains the main types of on-chain data, what they can tell you, and the traps in reading them.

Flows, activity, network

On-chain data is information read directly from a public blockchain: transactions, addresses, balances and the state of the network. Bitcoin's founding paper already noted that all transactions are public, while privacy comes from addresses not being linked to names.

Three common groups:

Exchange flows: coins moving to or from known exchange addresses. Large inflows are often read as a sign that holders may want to sell, outflows as a sign of moving coins into self-custody.
Activity: the number of active addresses and transactions, used as a rough gauge of how much the network is used.
Network data: for Bitcoin, the hash rate, the total computing power securing the network. For proof-of-stake networks such as Ethereum, the amount of coins staked.

The limits are serious:

Addresses are not people. One person can use many addresses, and one exchange address can hold the coins of millions of customers.
Most trading is off-chain. Trades inside an exchange are recorded in the exchange's own books. Only deposits and withdrawals touch the blockchain.
Labels can be wrong. Which address belongs to which exchange or fund is often an estimate by the data provider.
Moves can be internal. Exchanges and custodians shift coins between their own wallets.

On-chain data is like order flow in the lesson on market microstructure: it describes what is happening, not what will happen next.

Big move, no sale

A fictional alert flashes on social media: 20,000 bitcoins have just moved onto a large exchange. Many read it as a warning of a big sale.

Prices dip briefly as some traders sell first.
Later, the exchange explains that it was moving its own reserves between wallets.
No large sale follows, and the price recovers within hours.

The data was correct: the coins really moved. The interpretation was wrong. Context about who owns an address matters more than the size of the transfer.

Common mistakes

Counting addresses as users. The relationship is loose.
Reading every exchange inflow as selling. Many transfers are internal.
Ignoring off-chain trading. Much of the market never touches the chain.
Treating dashboards as signals. On-chain data gives context, not forecasts.

The takeaway

Public blockchains let anyone see transactions, flows and activity. That data gives context, but addresses are not people and much trading is off-chain.

Check yourself

Quick quiz

4 questions. Instant feedback, nothing is saved.

1Tap the measure that shows coins moving onto trading platforms.

Tap the chart.

Large inflows to exchanges are often read as a sign that holders may want to sell, but they can have other reasons.
2Why can't you count users by counting addresses?

Exchanges pool many customers in a few addresses, while individuals often use many.
3Much bitcoin trading happens inside exchanges. Does that show up on the blockchain?

Only deposits and withdrawals touch the chain. Internal trading stays off-chain.
4What does on-chain data give you at best?

Like order flow in the lesson on microstructure, it describes what is happening, not what comes next.

of 4 correct.