Coin Days Destroyed: How Dormant Coin Movement Signals Big-Money Action

What CDD Measures

Every coin has an age: the number of days since it last moved on-chain. When a coin moves, it "destroys" its accumulated coin-days of age. CDD aggregates this across all coins moving in a given period:

CDD = Σ (coin amount × days held) for all coins moving

A coin held 1,000 days then moved contributes 1,000 coin-days. A coin held 10 days then moved contributes 10. Summing across a day's worth of on-chain activity produces daily CDD.

The metric weights movement by conviction. Fresh coins moving (short holds) produce low CDD. Dormant coins moving (long holds) produce high CDD. High CDD therefore signals that experienced holders are active, not just short-term traders.

Why CDD Matters

Long-term holders typically have better information or stronger conviction than short-term traders. When they move coins, it often signals that something meaningful is happening:

• Distribution: LTHs selling into bull-market demand. CDD spikes during late bulls often precede tops.
• Accumulation by informed buyers: CDD spikes when experienced accumulators move coins between cold storage addresses. Less common signal but meaningful.
• Forced selling: even experienced holders sometimes capitulate. CDD spikes during deep drawdowns can indicate LTH capitulation bottoms.
• Exchange movements: dormant coins activated specifically to deposit to exchanges is one of the strongest selling-intent signals available.

Historical CDD Spikes

CDD doesn't predict turns precisely but flags significant structural activity. Large spikes are worth investigating for specific actors and destinations.

CDD Variants

Supply-Adjusted CDD

Raw CDD grows over time as circulating supply grows. A CDD reading of 1 million in 2015 (when 14M BTC was in circulation) is much more significant than 1 million in 2026 (with 19.7M BTC). Supply-adjusted variants normalize this:

Supply-Adjusted CDD = CDD / Circulating Supply

This produces a ratio that's comparable across different circulating supply levels. It's the version most commonly used for cross-cycle analysis.

ASOL (Average Spent Output Lifespan)

ASOL measures the average age of spent outputs in a given period, weighted by value:

ASOL = CDD / Total BTC Moved

Rather than aggregate destruction, ASOL gives the average age of the coins that moved. A ASOL of 500 days means the average spent coin had been held 500 days before moving.

Binary CDD

Binary CDD (sometimes called "liveliness") takes a different approach: ratio of coin days destroyed to the coin days the network has accumulated. It's a more refined dormancy metric used in cycle-top and cycle-bottom identification.

Interpreting CDD

During Bull Markets

Rising CDD during a bull market signals distribution from long-term holders into new demand. This is normal. Every bull sees LTHs taking profits. What matters is the intensity:

• Gradual CDD rise: healthy distribution; market can absorb
• CDD spikes at peaks: aggressive distribution; often marks cycle tops
• CDD explosion late in rallies: combined with other overheating signals, strong distribution signal

During Bears

CDD during bear markets is often compressed (LTHs sitting still). When CDD spikes during a bear:

• Could be capitulation: LTHs finally breaking under prolonged drawdown
• Could be repositioning: institutional rebalancing or custody changes
• Could be accumulation: older holders rotating between cold wallets (less common but happens)

Context determines which. Destination analysis (are coins going to exchanges or to dormant-looking addresses?) usually clarifies.

During Consolidation

CDD during ranges is usually quiet. Spikes during consolidation phases are notable because they represent decision-making when the market lacks direction. Could flag an upcoming breakout direction.

Limitations

CDD has meaningful caveats:

• Custody movements: institutional custodians periodically rebalance cold wallets. These movements destroy coin days without representing real holder decisions.
• UTXO mechanics: Bitcoin's change outputs can create CDD events that don't reflect selling intent. A coin held 1,000 days could move partially to a new address, creating CDD without the holder changing their position.
• Exchange internal: coins moving between exchange wallets can show as CDD events without leaving the exchange's custody.
• Label quality: interpreting CDD requires knowing who's moving coins. Label coverage varies; some major custodians and miners are well-labeled, others aren't.

Specialized CDD variants attempt to filter these. Glassnode's "Supply Adjusted Binary CDD" and similar metrics specifically try to isolate real holder decisions from technical movements.

CDD in Confluence Analysis

CDD shines as part of broader analysis:

• CDD + exchange inflow: old coins flowing to exchanges is one of the strongest distribution signals in crypto
• CDD + MVRV: high MVRV with CDD spike = distribution in overheated market
• CDD + whale tracking: when CDD spikes align with specific labeled whale addresses moving coins, the signal becomes actionable
• CDD + funding: high CDD + extreme funding = broad market stretch across spot and derivatives

Related Intelligence

• SOPR: Complementary metric measuring profit/loss at coin movement.
• Long-term vs short-term holders: The cohort structure CDD spikes often signal movement within.
• Supply distribution: The broader distribution view CDD contributes to.
• Whale tracking: Entity-level analysis that contextualizes CDD spikes.