Cointime Economics Framework
Understanding Active Value
The Cointime Economics Revolution
In August 2023, James Check (Lead Analyst at Glassnode) and David Puell (Research Associate at ARK Invest) introduced Cointime Economics - a groundbreaking framework for Bitcoin on-chain analysis. This new methodology fundamentally changes how we understand Bitcoin's economic activity by focusing on "coinblocks" - the product of coin volume and holding time.
Traditional metrics treat all Bitcoin equally, whether held for decades or traded yesterday. Cointime Economics recognizes that recently moved coins better reflect current market dynamics, while dormant coins contribute little to price discovery despite inflating traditional metrics.
Core Innovation: Active vs Vaulted Supply
The framework divides Bitcoin's supply into two fundamental regions: Active Supply (economically engaged coins) and Vaulted Supply (dormant or lost coins). By measuring "cointime" - how long coins are held multiplied by their volume - we can accurately weight economic relevance and discount the influence of dormant supply.
Key Principles of Cointime Economics:
Coinblocks are the fundamental unit - fully fungible measurements of economic activity
Active Supply represents coins driving price discovery and economic velocity
Vaulted Supply contains dormant, lost, or long-term held coins with minimal market impact
Liveliness measures network activity; Vaultedness measures inactivity
The AVIV ratio provides true market valuation by comparing active value to investor cost basis
Why This Framework Matters
As Bitcoin matures, an increasing portion becomes permanently dormant - lost keys, deceased holders, or ultra-long-term storage. The Cointime Economics paper estimates 18.56-23.19% of Bitcoin supply is likely lost forever. Traditional metrics that include this "dead" supply increasingly distort market signals, showing false breakevens when active participants are deeply underwater.
The genius of Cointime Economics: It self-corrects for lost coins without requiring explicit identification. Dormant coins naturally fade from influence while active coins gain weight. This provides cleaner signals for market tops, bottoms, and fair value.
This exhibit demonstrates how AVIV (Active-Value-to-Investor-Value) and related Cointime metrics provide superior market intelligence compared to traditional on-chain analysis, offering earlier warnings and more accurate valuations.
AVIV Framework & True Market Mean
The AVIV Framework
AVIV (Active-Value-to-Investor-Value), also known as the True Market Deviation, compares the Active Market Cap to the Investor Cap. This ratio focuses only on economically active coins, filtering out long-dormant supply that doesn't participate in price formation.
Core AVIV Equation:
AVIV = Active Market Cap / Investor Cap
True Market Deviation measuring active value relative to investor cost basis
The beauty of AVIV lies in its focus on economically relevant coins. By weighting coins based on their accumulated cointime rather than simple age, AVIV provides a cleaner signal of actual market sentiment. Recently moved coins have higher economic relevance, while long-dormant coins are naturally discounted. When AVIV is high, active participants are sitting on profits; when low, they're underwater.
Interpretation:
AVIV > 1.0: Active supply is in profit on average
AVIV < 1.0: Active supply is at a loss on average
Extreme highs (>2.5): Potential overvaluation
Extreme lows (<0.5): Potential undervaluation
True Market Mean
The True Market Mean (Active-Investor Price) represents the average acquisition price of coins acquired through secondary market transactions, excluding miner production costs. Unlike traditional realized price that includes all coin origins, TMM focuses specifically on investor-to-investor transfers.
Think of TMM as the "real" cost basis of active market participants. It acts as a dynamic support/resistance level that adapts much faster than traditional realized price. When price is above TMM, active holders are in profit; below it, they're at a loss. The distance between price and TMM reveals the magnitude of unrealized profit or loss in the active market.
Key Insights:
Price above TMM: Active market in profit
Price below TMM: Active market at loss
TMM acts as dynamic support/resistance
Convergence points often mark trend changes
True Market Mean AVIV
Statistical Extremes
Statistical Deviation Analysis
Z-Score normalization transforms raw AVIV values into standard deviations from the mean, making it easier to identify statistical extremes across different market cycles.
Z-Score Formula:
Z = (AVIV - Mean) / Standard Deviation
Measures how many standard deviations AVIV is from its historical average
The Z-Score tells us how "unusual" the current AVIV value is compared to history. A Z-Score of 2 means AVIV is 2 standard deviations above average - an event that only happens about 5% of the time. This statistical approach helps identify market extremes without relying on arbitrary thresholds.
Market Zones:
Z > 2.0: Statistically overvalued (red zone)
0.5 < Z < 2.0: Neutral to warm (yellow zone)
-0.5 < Z < 0.5: Fair value (green zone)
Z < -0.5: Undervalued opportunity (blue zone)
The AVIV Z-Score has historically provided effective signals for identifying market extremes. Statistical analysis shows the metric exhibits strong mean-reverting properties, with extreme positive readings often coinciding with market tops and extreme negative readings marking potential bottoms.
Historical Performance:
Extreme positive Z-Scores have preceded major market corrections
Extreme negative Z-Scores have marked accumulation opportunities
The metric shows consistent mean-reversion behavior across cycles
Works best when combined with other cointime indicators
AVIV Z-Score
Profit & Momentum Analysis
Active Profit & Loss
AVIV-NUPL measures profit/loss of active supply only, filtering dormant coins for true market sentiment.
NUPL Formula:
(Active Market Cap - Investor Cap) / Active Market Cap
Unrealized profit percentage
High values = holders in profit, may sell. Negative = underwater, likely hold.
Key Levels:
>0.7: Euphoria, potential top
0.25-0.7: Healthy profit zone
0-0.25: Transition phase
<0: Capitulation, holders at loss
AVIV-NUPL provides cleaner signals for both short and long-term analysis. Unlike traditional NUPL which drifts upward over time, AVIV self-corrects by discounting dormant coins, revealing true market sentiment even when long-term holders are underwater.
Momentum & Trends
AVIV Momentum compares active value to yearly average. Above = bullish expansion, below = bearish contraction. Binary oscillator shows regime changes between accumulation (negative) and distribution (positive) phases.
Signals:
Positive: Bullish trend
Negative: Bearish trend
Crosses: Trend reversals
Divergences: Trend weakness
AVIV-NUPL
AVIV Momentum
Active Market Valuation
Active MVRV & Realized Price
Active MVRV compares the market value to realized value of only economically active coins, filtering out dormant supply that distorts traditional MVRV readings.
Active MVRV:
Active Market Cap / Active Realized Cap
Profit multiple for active participants
Active MVRV shows how many times profit (or loss) active holders are sitting on. An Active MVRV of 2.0 means active holders could sell for twice what they paid. This metric is more responsive than traditional MVRV because it ignores coins that haven't moved in years and likely won't affect near-term price action.
Key Levels:
MVRV > 3.0: Active holders in extreme profit
MVRV 2.0-3.0: Distribution zone, take profits
MVRV 1.0-2.0: Healthy market conditions
MVRV < 1.0: Active holders underwater, accumulate
The Active Realized Price represents the average cost basis of economically active Bitcoin. It acts as a dynamic support/resistance level that's more responsive than traditional realized price. When Bitcoin approaches this level, it often finds support as active holders are reluctant to sell at a loss.
Active MVRV & Realized Price
Economic Efficiency
Network Economic Efficiency
Cointime NVT measures how efficiently the network transfers value by comparing active market cap to the value of coinblocks destroyed. Lower values indicate more efficient value transfer.
Think of Cointime NVT as a "price-to-earnings" ratio for Bitcoin. It compares the network's market value to its economic throughput. When NVT is low, Bitcoin is transferring lots of value relative to its price - suggesting healthy usage. When high, the price may be running ahead of actual utility.
Interpreting Cointime NVT:
Lower values: More efficient value transfer relative to market cap
Higher values: Less efficient, potential overvaluation
Compare to historical ranges rather than fixed thresholds
Most effective when analyzed alongside other cointime metrics
What makes Cointime NVT special is its weighting system. A transaction moving 10-year-old coins is economically more significant than one moving coins from yesterday. This weighting helps distinguish between real economic activity and wash trading or exchange shuffling.
Market Phases:
Low NVT + Rising Price = Healthy growth with usage
High NVT + Rising Price = Speculative bubble risk
Low NVT + Falling Price = Capitulation, value opportunity
High NVT + Falling Price = Dead cat bounce, avoid
Cointime NVT
Mastering Active Value Analysis
Understanding the Complete Active Value Framework
The Active Value framework represents a paradigm shift in Bitcoin valuation by focusing exclusively on economically active participants. Using cointime weighting rather than arbitrary time cutoffs, these metrics provide a clearer picture of current market dynamics and true economic activity.
The genius of AVIV lies in its ability to separate signal from noise. While traditional metrics include all Bitcoin supply equally, AVIV recognizes that coins held for years contribute little to current price discovery. This makes the framework particularly powerful for identifying market turning points and understanding real-time market sentiment.
How These Metrics Work Together
Each Active Value metric captures a different aspect of market behavior. The True Market Mean provides the fundamental baseline valuation, while the AVIV Z-Score measures how far current prices have deviated from this baseline. When Z-Score readings exceed ±2 standard deviations, markets are entering extreme territory that historically precedes reversals.
AVIV-NUPL adds the profit and loss dimension, showing whether active participants are in profit or loss positions. This is crucial because extreme profit levels often trigger selling pressure, while extreme losses create accumulation opportunities. The AVIV Momentum indicator then captures the rate of change, identifying when trends are accelerating or decelerating.
Key Confluence Signals to Watch:
When AVIV Z-Score drops below -0.5 while momentum turns positive, markets often begin recovery phases
AVIV-NUPL readings above 0.7 combined with high NVT ratios suggest overheated conditions requiring caution
Active MVRV falling below 1.0 indicates active holders are underwater, historically marking accumulation zones
Divergences between price and AVIV metrics often precede major trend changes
Practical Application and Risk Management
The power of Active Value analysis emerges when multiple metrics align. During accumulation phases, you'll typically see negative Z-Scores, low AVIV-NUPL readings, and improving momentum - a confluence suggesting undervaluation. Conversely, distribution phases show positive Z-Scores exceeding 2.0, high NUPL readings above 0.7, and deteriorating momentum.
Network efficiency, measured by Cointime NVT, adds another layer of validation. Low NVT readings during price increases suggest sustainable growth supported by genuine network usage, while high readings warn of speculative excess. This helps distinguish between healthy bull markets and unsustainable bubbles.
The Evolution of Bitcoin Analysis
Traditional on-chain analysis treats all Bitcoin supply equally, but the Active Value framework recognizes that market dynamics are driven by active participants. Coins that haven't moved in years are effectively removed from circulation and don't influence current prices. By focusing on active supply, these metrics provide faster, more accurate signals about market conditions.
This approach is particularly valuable in mature markets where increasing amounts of Bitcoin become dormant through long-term holding. As the ratio of active to dormant supply changes over time, Active Value metrics automatically adjust, maintaining their relevance and accuracy across different market epochs.
Remember: Active Value metrics are more responsive than traditional indicators but can also be more volatile during rapid market movements. Always use multiple timeframes and combine these signals with other forms of analysis for comprehensive market assessment. The framework excels at identifying major turning points but should be part of a broader analytical toolkit.