Direct Answer
Coin Days Destroyed is a crypto measure used to measure blockchain activity, holder behavior, derivatives positioning, or crypto market structure. The production page must define the exact calculation convention before interpreting higher or lower readings, because platform and provider implementations can differ.
Coin Days Destroyed: Formula, Meaning, Signals, Examples and How to Use It
How Is Coin Days Destroyed Calculated?
Coin days destroyed (CDD) multiplies the amount of each spent coin by the number of days it had sat unmoved, then sums over all coins spent in a period. A coin held for 100 days and then moved destroys 100 coin days.
Formula: CDD = sum over spent outputs of (coin amount x days since the output was created)
Inputs:
- Spent outputs in the period
- Amount of each output
- Creation date of each output
Worked example. If 10 coins last moved 200 days earlier and 5 coins last moved 30 days earlier, the coin days destroyed are 2,150. The inputs are illustrative numbers, not market data.
Reading it. Spikes indicate that old, long-dormant coins moved, which analysts often treat as long-term holders becoming active. Low values mean mostly recently moved coins were spent. It is unpriced, so compare it with value days destroyed for a USD-weighted view.
Limits. Movement is not selling: coins may move between a holder's own wallets, which destroys coin days with no change in ownership. A single large old output can dominate a day's total.
Indicator overview
| Attribute | Value |
|---|---|
| Category | Crypto |
| Asset classes | Crypto, Digital assets |
| Output type | Line/scalar |
| Parameters | Varies by implementation; document exact settings on use |
What is Coin Days Destroyed?
Coin Days Destroyed is a crypto measure used to measure blockchain activity, holder behavior, derivatives positioning, or crypto market structure. The production page must define the exact calculation convention before interpreting higher or lower readings, because platform and provider implementations can differ.
For Swoopr, the canonical profile separates definition, calculation, interpretation and decision use. That keeps readers from collapsing a descriptive metric into a trading strategy. An indicator can describe trend, momentum, volatility, participation, positioning or risk without providing a complete entry, exit, sizing or portfolio decision.
What does it measure?
Coin Days Destroyed measures specific market properties in the Crypto domain. The practical value is repeatability: the same inputs and formula can be applied across a defined dataset, allowing users to compare readings through time or across instruments when the calculation convention is held constant.
How to read Coin Days Destroyed
Interpretation depends on the market property being measured. A descriptive reading is not automatically predictive. The same numerical state can lead to different outcomes in a strong trend, quiet range, event-driven gap or illiquid market. Always combine with context from price structure, volume, and broader market regime before drawing conclusions.
Strengths
- Multiplying amount by age gives old coins proportionally more weight, so the sum highlights movement of long-held supply rather than all transfers.
- The formula needs only creation dates and amounts of spent outputs, so it can be computed from the ledger without price data.
- Reproducible when the formula and data convention are fixed.
Weaknesses and limitations
- The units are coin-days, so the total rises with the number of coins in circulation and older and newer periods are not on a like-for-like scale.
- Each spent output is measured from its own creation, so a coin's age restarts at every spend and a repeatedly moved coin contributes little.
- Correlated indicators can create false confidence by repeating the same underlying information.
Editorial and risk note
This page is educational content, not individualized investment advice. It should not imply guaranteed prediction, accuracy or outperformance. Where multiple valid definitions exist, Swoopr states the alternatives and the reason for selecting its primary convention.
Frequently Asked Questions
Is Coin Days Destroyed a buy or sell signal?
No. Spikes indicate that old, long-dormant coins moved, which analysts often treat as long-term holders becoming active. Movement is not selling: coins may move between a holder's own wallets, which destroys coin days with no change in ownership. A trade built on it still needs a trigger, an invalidation rule, a position size and realistic execution assumptions.
What is the best setting for Coin Days Destroyed?
Coin Days Destroyed takes these inputs: spent outputs in the period; amount of each output; creation date of each output. There is no universal best setting for the tunable ones, so test them across instruments, regimes and out-of-sample periods and favor stable parameter regions over one historical winner.
Can Coin Days Destroyed be used by itself?
Movement is not selling: coins may move between a holder's own wallets, which destroys coin days with no change in ownership. A single large old output can dominate a day's total. For that reason it is read next to measures of direction, participation, valuation, liquidity and risk, not alone.
Does Coin Days Destroyed work on every timeframe?
The calculation (CDD = sum over spent outputs of (coin amount x days since the output was created)) can be run on any bar size, but behavior is not portable: a reading on a five-minute chart describes a very different market window from the same reading on a daily chart. Validate the exact timeframe before relying on it.
Why does Coin Days Destroyed give false signals?
The units are coin-days, so the total rises with the number of coins in circulation and older and newer periods are not on a like-for-like scale. Each spent output is measured from its own creation, so a coin's age restarts at every spend and a repeatedly moved coin contributes little. Lag, noise and regime changes add to this, because market participants react to new information after the reading is calculated.
How should Coin Days Destroyed be backtested?
Rebuild Coin Days Destroyed from spent outputs in the period using point-in-time data, write the rules before testing, include delisted securities where relevant, model realistic fills and costs, reserve a validation sample and compare with a simpler baseline.