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7D
Percentile (4Y)
Bitcoin Active Addresses
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Metric notes
Unique addresses that participated in transactions as either a sender or a receiver, capturing broad on-chain reach.

What It Measures

Active Addresses counts unique addresses that appeared in on-chain transactions during the day, either on the input side or the output side. In CoreCharts, the series is built as the union of distinct sender addresses and distinct receiver addresses for that date.

The metric captures transactional reach. An address is counted as soon as it participates in value transfer, even if its end-of-day balance finishes unchanged. That makes this series broader than balance-change-based activity measures.

Analytical Use

This series is useful when the goal is to measure how widely transaction activity is distributed across the address set. Rising values usually indicate broader network participation. Falling values point to narrower usage, with more activity concentrated in fewer addresses.

It is particularly useful next to transaction count and transfer volume. If transaction count rises while active addresses remain flat, activity is being carried by a smaller address base. If both expand together, participation is spreading more widely through the network.

Market Reading

For price analysis, the main value of this metric is in participation breadth. A price advance that is accompanied by expanding active addresses often looks healthier than a move driven by a narrow set of participants. When price rises but address participation stays muted, the move is being supported by less breadth on-chain.

The metric is better suited to reading participation breadth than to timing entries.

Historical Context

Active address counts have been part of Bitcoin analysis since the early years of on-chain charting and later became standard across research platforms. The broad concept is well known, but implementations differ. Some providers count raw transactional participation, while others count only addresses with a net balance change. CoreCharts keeps those definitions separate so the distinction stays visible.