Cointime Economics: A New Bitcoin On-Chain Analysis Framework

    Cointime Economics: A New Bitcoin On-Chain Analysis Framework

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Cointime 
Economics
A New Framework For Bitcoin 
On-Chain Analysis 
Published: 08.24.23
Author: David Puell
Research Associate at ARK Invest
Co-Author:James Check
Lead Analyst at Glassnode
Partner Logo Goes Here
FOR INFORMATIONAL PURPOSES. 
This is not a recommendation in relation to any named securities/cryptocurrencies and no warranty or guarantee is 
provided. Any references to particular securities/cryptocurrencies are for illustrative purposes only. There is no assurance 
that ARK Invest will make any investments with the same or similar characteristics as any investment presented. The reader 
should not assume that an investment identified was or will be profitable.
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
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CONTENTS
I. Cointime: A New On-Chain Framework and Unit of Measurement
II. Cointime Economics
 Coinblocks Created 
 Coinblocks Destroyed 
 Coinblocks Stored
 The Big Picture
III. Using Cointime to Measure Bitcoin’s Economic State
IV. Using Cointime to Measure Supply Activity
V. Cointime Economics Case Study #1
VI. Cointime Economics Case Study #2
VII. Cointime Economics Case Study #3
3
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
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In 2022 and 2023, ARK Invest and Glassnode collaborated to develop a new economics 
framework for analyzing Bitcoin on-chain metrics—Cointime Economics. Our work together now 
offers two companion pieces: this white paper, which is written for a broad investor audience, 
and a second version found at Glassnode’s website, written for on-chain specialists. 
Please note that the information presented in this paper represents a new concept that has not 
been widely used or adopted at the time of publication and should not be relied upon as a basis 
for any investment decision. 
Cointime: A New On-Chain Framework and Unit of Measurement1
We are presenting Cointime Economics as a new way of modeling the dynamics of bitcoin’s 
supply and demand based on a fungible unit of measurement of Bitcoin’s economy—coinblocks. 
In addition to the traditional Unspent Transaction Output (UTXO) 2 models, we believe this 
framework captures the real economic weight of each bitcoin in the network and provides a suite 
of metrics to assess Bitcoin’s fundamentals more accurately. 
In this piece, we introduce “coinblocks” as the base unit of measurement in the Bitcoin economy 
and provide Cointime Economics as a framework complementary to the traditional, UTXO-based 
framework of on-chain analysis. 
Based on this framework, we will provide: 
1. A representation of Bitcoin’s economic state. 
2. Improvements to traditional Bitcoin valuation metrics. 
3. A new set of on-chain analytics to measure Bitcoin’s activity. 
We also will provide three case studies illustrating the potential benefits of Cointime Economics: 
1. A more precise version of the market-value-to-realized-value (MVRV) ratio, one of the most 
widely used on-chain metrics today. 
2. A more accurate measurement of bitcoin’s inflation rate over time. 
3. Bitcoin’s volume- and time-weighted cost basis.
1 On-chain analysis is a research field that leverages information found on public blockchains to inform investors about the economic state 
of a given cryptocurrency. On-chain data usually include information regarding all transactions that occur on a certain public blockchain 
network. For example, transaction details such as: sending and receiving addresses, transferred tokens or currencies, transaction amount, 
transaction time and date, transaction fees, and the remaining funds for a certain address.
2 UTXO is Bitcoin’s accounting system at the protocol level. It indicates the amount of bitcoin remaining in each address after any given 
transaction. The UTXO system accounts only for number of coins as unit of account.
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
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Cointime Economics 
Conceptually, Cointime Economics posits that the importance of a single bitcoin should vary 
based on the last time it moved. Upon its transfer, for example, the information value of a bitcoin 
that had been unmoved for 10 years is more important than one that had been unmoved for 1 
week.3
 In addition, in this model of the Bitcoin economy, a lost bitcoin no longer counts as part of 
the outstanding supply or market cost basis. 
While traditional UTXO-based solutions have attempted to make supply adjustments using 
industry-standard heuristics (such as adjusted supply and free-float supply), the adjustments 
have followed analyst-made decisions that may be prone to inaccuracies. In contrast, we believe 
the Cointime framework provides a highly consistent, mathematical framework measuring the 
economic importance of each bitcoin through time with a fungible unit of measurement that 
seems to better represent the economic state of the network—coinblock. 
Coinblocks are the product of the number of bitcoin and the number of blocks4
 produced during 
the period in which those bitcoin remained unmoved. For example, 10 coins held during the time 
necessary to produce 10 blocks represents 100 coinblocks.
Coinblocks can be expressed in alternative units by multiplying the number of bitcoin by the 
period during which they remain unmoved. For example, the commonly used “coindays” are the 
product of the number of bitcoin and the number of days they remain unmoved. Cointime can be 
3 In our view, coins held for a prolonged period of time suggest ownership by the market cohort with the longest time investment horizon and 
the most profitable cost basis. They therefore display the market behavior of the largest capitalized and historically most savvy market 
participants in Bitcoin’s history.
4 Blocks are data structures containing the transaction data in a shared cryptocurrency protocol. When blocks are added linearly, they are 
called a “blockchain.” In the Bitcoin network, each block production is targeted to last 10 minutes.
Sources: ARK Investment Management LLC & Glassnode, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, 
sell, or hold any particular security or cryptocurrency. 
Number of coins Coinblocks Number of 
blocks held
× =
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
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expressed in dollar terms—such as “dollardays”—by multiplying the number of bitcoin valued in 
USD by the number of days they remain unmoved. 
Instead of using bitcoin’s outstanding supply to characterize Bitcoin’s economy, cointime uses 
coinblocks. 
Coinblocks Created 
Each unit of bitcoin’s circulating supply generates one coinblock. “Coinblocks created” (CBC) 
represents the total cointime created in the Bitcoin network, independent of coin movement. 
For example, if 4 coins are in circulation over a period of 4 blocks, they would create 16 coinblocks, 
as shown below.
Because the Bitcoin network produces a block every 10 minutes on average, one coin generates 
approximately 144 coinblocks per day: 6 blocks produced per hour multiplied by 24 hours. 
The sum of all coinblocks created is the maximum cointime in the network, including the last coin 
minted and block produced. On block 788,709 during May 7, 2023, the network created 2.7 billion 
coinblocks, as shown below.
Sources: ARK Investment Management LLC & Glassnode, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, 
sell, or hold any particular security or cryptocurrency. 
b=1 b=2 b=3 b=4
= Coinblocks created
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
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Coinblocks Destroyed
“Coinblocks destroyed” (CBD), more commonly presented as “coindays destroyed” (CDD), 
measures the time-weighted turnover of bitcoin: volume, or the number of bitcoin moved in a 
given period, and holding period, or the time held before moving. If two bitcoins had not moved 
in seven blocks and then transacted, for example, 14 coinblocks would have been destroyed. An 
increase in the number of coinblocks destroyed implies the movement of coins that had been 
static for a long time. 
Whenever a coin is moved, it “destroys” all accumulated coinblocks up to that point in time, 
resetting its cointime back to zero. Coinblocks destroyed bases the economic weight of each 
coin on the time it last moved. In contrast, the UTXO model assigns the same weight to each coin, 
regardless of when it last moved.
In the example below, out of 16 coinblocks created, 6 coinblocks were destroyed.
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any 
particular security or cryptocurrency. Past performance is not indicative of future results.
Bitcoin Coinblocks Created
Price (USD) Coinblocks Created (7-Day Median)
Price (USD)
$100,000 3,500,000,000
$10,000 3,000,000,000
$1,000 2,500,000,000
$100 2,000,000,000
$10 1,500,000,000
$1 1,000,000,000
$0 500,000,000
$0 0
Jan-10
Jan-11
Jan-12
Jan-13
Jan-14
Jan-15
Jan-16
Jan-17
Jan-18
Jan-19
Jan-20
Jan-21
Jan-22
Jan-23
Coinblocks Created
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
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Heavy coinblock destruction suggests that long-term holders are selling. Bitcoin’s “smart money” 5
typically hold larger bitcoin balances and trade from lower cost bases, generating higher profits. 
As a result, smart money trades tend to have a more profound economic impact than less 
seasoned trades. In other words, major spikes in coinblocks destroyed have had a high correlation 
with a peak in bitcoin’s price, as shown below. On May 7, 2023, 739 million coinblocks were 
destroyed.
5 In this context, “smart money” refers colloquially to the cohort of market investors or traders who in aggregate tend to have a longer time 
horizon and higher profits relative to their cost bases.
Sources: ARK Investment Management LLC & Glassnode, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any 
particular security or cryptocurrency. 
b=1 b=2 b=3 b=4
Moved
Moved
= Coinblocks destroyed
Moved
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
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Coinblocks Stored
“Coinblocks stored” (CBS) represents the total number of coinblocks that have not been 
destroyed, or the difference between total coinblocks created and total coinblocks destroyed. 
The economic value of these coins is high because they belong to bitcoin’s early adopters and 
typically are held at a profit.
When 6 out of a total of 16 coinblocks created are destroyed, as shown below, 10 coinblocks 
remain stored:
Bitcoin Coinblocks Destroyed
Price (USD) Coinblocks Destroyed (7-Day Median)
Jan-10
Jan-11
Jan-12
Jan-13
Jan-14
Jan-15
Jan-16
Jan-18
Jan-17
Jan-19
Jan-20
Jan-21
Jan-22
Jan-23
10,000,000,000
9,000,000,000
8,000,000,000
7,000,000,000
6,000,000,000
5,000,000,000
4,000,000,000
3,000,000,000
2,000,000,000
1,000,000,000
0
$100,000
$10,000
$1,000
$100
$10
$1
$0
$0
Price (USD)
Coinblocks Destroyed
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023.
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any 
particular security or cryptocurrency. Past performance is not indicative of future results.
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
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Sources: ARK Investment Management LLC & Glassnode, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any 
particular security or cryptocurrency. 
On May 7, 2023, 1.9 billion coinblocks remained stored in the Bitcoin network, the daily values of 
which are shown through time in the chart below. When negative, in this case over a period of 
seven days, the number of coinblocks destroyed has surpassed the number created, suggesting 
the movement of a substantial number of old coins in a short period of time.
b=1 b=2 b=3 b=4
Moved
Moved
Moved
= Coinblocks stored
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
10
-8,000,000,000
-6,000,000,000
-4,000,000,000
-2,000,000,000
0
2,000,000,000
4,000,000,000
$0
$0
$1
$10
$100
$1,000
$10,000
$100,000
Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
Coinblocks Stored
Price (USD)
Bitcoin Coinblocks Stored
Price (USD) Coinblocks Stored (7-Day Median) Zero Line
Bitcoin Coinblocks Stored
$100,000 4,000,000,000
2,000,000,000
0
-2,000,000,000
-4,000,000,000
-6,000,000,000
-8,000,000,000
$10,000
$1,000
$100
$10
$1
$0
$0
Jan-10
Jan-11
Jan-12
Jan-13
Jan-14
Jan-15
Jan-16
Jan-18
Jan-17
Jan-19
Jan-20
Jan-21
Jan-22
Jan-23
Coinblocks Stored
Price (USD)
Price (USD) Coinblocks Stored (7-Day Median) Zero Line
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular 
security or cryptocurrency. Past performance is not indicative of future results.
The Big Picture
Putting the puzzle together, the following graphs illustrate that the 16 coinblocks created—on the 
left—equal 6 coinblocks destroyed plus 10 coinblocks stored—on the right.
b=1 b=2 b=3 b=4 b=1 b=2 b=3 b=4
Moved
Moved
Moved
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
11
From a long-term perspective, the chart below depicts each of the cointime economic building 
blocks over time. Interestingly, in 2017, coinblocks destroyed began to diverge from those stored, 
as the total quantity of coinblocks destroyed surpassed that of coinblocks stored. In other words, 
more coins were active in the market as opposed to lost or strongly dormant.
To recap, each cointime building block has a corollary in the UTXO system:
0
2,000,000,000,000
4,000,000,000,000
6,000,000,000,000
8,000,000,000,000
10,000,000,000,000
12,000,000,000,000
$0
$0
$1
$10
$100
$1,000
$10,000
$100,000
Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
Total Coinblocks Created, Destroyed, and Stored
Price (USD)
Bitcoin Total Coinblocks Created, Destroyed, and Stored
Price (USD) Total Coinblocks Created Total Coinblocks Destroyed Total Coinblocks Stored
Price (USD)
$100,000
$10,000
$1,000
$100
$10
$1
$0
$0
Jan-10
Jan-11
Jan-12
Jan-13
Jan-14
Jan-15
Jan-16
Jan-18
Jan-17
Jan-19
Jan-20
Jan-21
Jan-22
Jan-23
12,000,000,000,000
10,000,000,000,000
8,000,000,000,000
6,000,000,000,000
4,000,000,000,000
2,000,000,000,000
0
Bitcoin Total Coinblocks Created, Destroyed, and Stored
Price (USD) Total Coinblocks Created
Total Coinblocks Destroyed Total Coinblocks Stored
Total Coinblocks Created, Destroyed, and Stored
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular 
security or cryptocurrency. Past performance is not indicative of future results.
UTXO-Based
Cointime-Based Coinblocks Created Coinblocks Destroyed Coinblocks Stored
Total Outstanding
Supply Moved Supply Unmoved Supply
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
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That said, the UTXO system differs from the cointime system in the following ways:
Using Cointime to Measure Bitcoin’s Economic State
Based on cointime’s building blocks, two metrics characterize Bitcoin’s economic state—liveliness 
and vaultedness, as shown below. 
• Liveliness: created by Tamás Blummer in 2018, it divides the total number of coinblocks 
destroyed by the total number ever created. From 0 to 1, liveliness measures how “active” or 
“alive” the network is. Coinblock “destruction” captures the activity—the “life”—among the 
bitcoin in the Bitcoin network. As of May 7, 2023, liveliness equals 0.6, meaning that 60% of all 
coinblocks created have been destroyed.
• Vaultedness: divides the total number of coinblocks stored by the total number created. 
From 0 to 1, vaultedness measures how “inactive” or “vaulted” the network is. As of May 7, 2023, 
vaultedness equals 0.4, meaning that 40% of all coinblocks created remain stored. Vaultedness 
always equals 1 minus liveliness.
6 “Spent output profit ratio” (SOPR) is computed by dividing the realized value (in USD) by the value at creation (USD) of a spent output: the 
ratio of the price sold and the price paid.
Unit of Measurement
Unit Fungibility Non-fungible: coins have 
unequal economic weight
Coins (or UTXOs)
UTXO-Based System Cointime-Based System
Coinblocks (coin volume 
times blocks held)
Fungible: coinblocks have 
equal economic weight
Complexity and 
Calculation Cost
Popular Examples Realized cap, SOPR 6, realized 
profits and losses
Complex, engineering-intensive 
heuristics: entity adjustments, 
free-float supply, among others
Few inputs and heuristics 
provide a robust economic 
picture of Bitcoin
Coindays destroyed, 
liveliness
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
13
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
$0
$0
$1
$10
$100
$1,000
$10,000
$100,000
Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
Liveliness and Vaultedness (%)
Price (USD)
Bitcoin Liveliness and Vaultedness
Price (USD) Liveliness (%) Vaultedness (%)
100%
90%
80%
70%
30%
60%
20%
50%
10%
40%
0%
Bitcoin Liveliness and Vaultedness
Price (USD) Liveliness (%) Vaultedness (%)
Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-18 Jan-17 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
Price (USD)
Liveliness and Vaultedness (%)
$100,000
$10,000
$1,000
$100
$10
$1
$0
$0
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular 
security or cryptocurrency. Past performance is not indicative of future results.
These ratios capture Bitcoin’s economic “energy.” Liveliness is the amount of energy released 
through time (kinetic energy), while vaultedness is the amount unreleased (potential energy).
Taken to their hypothetical extremes, if liveliness were to increase to 1, then all coins in the 
network would have moved in the last block, leaving no holders. Conversely, if vaultedness were 1, 
then no miner ever would have sold bitcoin.
Using Cointime to Measure Supply Activity
We apply liveliness and vaultedness ratios to the supply of bitcoin to measure active supply and 
vaulted supply, respectively, as shown in the chart below. 
• Active Supply: multiplies outstanding supply times liveliness to measure the number of 
coins that have moved in the network at a point in time. As of May 7, 2023, active supply is 11.6 
million, or 60% of the 19.3 million in bitcoin outstanding.
• Vaulted Supply: also known as “HODLed or lost coins,” multiplies outstanding supply times 
vaultedness to measure the number of coins that have not been moved. Either they are in 
strong hands, or they are lost. As of May 7, 2023, vaulted supply is 7.7 million, or 40% of the 19.3 
million in bitcoin outstanding.
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
14
0
5,000,000
10,000,000
15,000,000
20,000,000
25,000,000
$0
$0
$1
$10
$100
$1,000
$10,000
$100,000
Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
Total, Active, and Vaulted Supplies (BTC)
Price (USD)
Bitcoin Total, Active, and Vaulted Supplies
Price (USD) Total Supply (BTC) Active Supply (BTC) Vaulted Supply (BTC)
Price (USD)
$100,000
$10,000
$1,000
$100
$10
$1
$0
$0
Jan-10
Jan-11
Jan-12
Jan-13
Jan-14
Jan-15
Jan-16
Jan-18
Jan-17
Jan-19
Jan-20
Jan-21
Jan-22
Jan-23
25,000,000
20,000,000
15,000,000
10,000,000
5,000,000
0
Total, Active, and Vaulted Supplies (BTC)
Bitcoin Total, Active, and Vaulted Supplies
Price (USD)
Total Supply (BTC)
Active Supply (BTC)
Vaulted Supply (BTC)
Unlike the UTXO framework, which deems a coin as “moved” as it leaves its coinbase address 7, the 
cointime framework weights each coin by the time in which it has been static. In other words, if 
old coins move, they will have a larger impact on bitcoin’s economic activity.
For example, in the UTXO framework, if a miner received a block reward coin and then moved 
it only one time ten years ago, the coin still is active. In the cointime framework, that same 
coin would be mostly inactive, weighted by ten coinyears of economic storage and cumulative 
economic energy.
Importantly, the UTXO framework and Cointime Economics have completely different concepts 
of inactive coins. In UTXO terms, inactive equals miner unspent supply; in Cointime Economics, 
inactive equals vaulted supply. In the real world of Bitcoin Economics, these differences can be 
significant. In the chart below, vaulted supply is 4.3x miner unspent supply. We believe vaulted 
supply is a better representation of inactive coins.
7 Bitcoin address corresponding to a miner’s coinbase transaction, which is the first transaction in each block. It distributes the block reward 
and fees given to the miner for verifying that block successfully.
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular 
security or cryptocurrency. Past performance is not indicative of future results.
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
15
Now, we will highlight three value propositions of Cointime Economics in the form of three case 
studies:
1. Enhancing UTXO-based valuation models such as MVRV.
2. Enhancing classic UTXO-based economic models such as inflation rate.
3. Enabling the creation of cointime-based models.
Cointime Economics Case Study #1
Active-Value-to-Investor-Value (AVIV) Ratio: Enhancing MVRV
The first example enhances one of the most popular UTXO-based valuation models, the MVRV 
ratio (or market-value-to-realized-value ratio). The ratio of market cap to realized cap8
, MVRV 
attempts to capture long-term over- or under-valuation. While MVRV is useful, its quantitative 
signal has diminished over time, as shown by the dashed lines below.
8 As opposed to market capitalization, which counts each coin at current market price (supply times price), realized capitalization counts 
each coin at the time it was last moved (and therefore bought).
0
5,000,000
10,000,000
15,000,000
20,000,000
25,000,000
$0
$0
$1
$10
$100
$1,000
$10,000
$100,000
Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
Total, Vaulted, and MU Supplies
Price (USD)
Bitcoin Vaulted Supply vs. Miner Unspent Supply
Price (USD) Total Supply (BTC) Vaulted Supply (BTC) Miner Unspent Supply (BTC)
Bitcoin Vaulted Supply vs. Miner Unspent Supply
Price (USD)
Total Supply (BTC)
Vaulted Supply (BTC)
Miner Unspent Supply (BTC)
Jan-10
Jan-11
Jan-12
Jan-13
Jan-14
Jan-15
Jan-16
Jan-18
Jan-17
Jan-19
Jan-20
Jan-21
Jan-22
Jan-23
Price (USD)
$100,000
$10,000
$1,000
$100
$10
$1
$0
$0
25,000,000
20,000,000
15,000,000
10,000,000
5,000,000
0
Total, Vaulted, and MU Supplies
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular 
security or cryptocurrency. Past performance is not indicative of future results.
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
16
25%
250%
$0
$0
$1
$10
$100
$1,000
$10,000
$100,000
Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
MVRV Ratio (%)
Price (USD)
Bitcoin MVRV Ratio
Price (USD) MVRV Ratio 1 Line (100%)
Jan-11
Jan-12
Jan-13
Jan-14
Jan-15
Jan-16
Jan-18
Jan-17
Jan-19
Jan-20
Jan-21
Jan-22
Jan-23
Price (USD)
MVRV Ratio (%)
$100,000
250%
$10,000
25%
$1,000
$100
$10
$1
$0
$0
Bitcoin MVRV Ratio
Price (USD) MVRV Ratio 1 Line (100%)
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular 
security or cryptocurrency. Past performance is not indicative of future results.
Introducing cointime to the calculation, without the use of regressions or z-scores,9 may improve 
the signal for over- and under-valuation. Active Capitalization weights the numerator—market 
cap—by liveliness, filtering out unmoved coins and isolating the USD value of active coins in the 
network. To measure Investor Capitalization, we subtract thermo cap—the cumulative USD value 
earned by miners over time—from realized cap to remove these transactions from the overall cost 
basis of the market and measure the cost basis for all active investors. ARK Invest developed this 
metric in 2021. As of May 7, 2023, Investor Capitalization is only 2.8% above Active Capitalization, 
denoting that the latter has returned to what seems its historical mean, as shown in the chart 
below.
9 In statistics, regressions measure the relation of the mean value of one variable and the values of a reference population; z-scores measure 
the standard deviations from the mean value of a variable from a reference population. Regressions and z-scores typically are used in onchain analysis for adjusting a metric for volatility over a time horizon.
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
17
$100,000
$1,000,000
$10,000,000
$100,000,000
$1,000,000,000
$10,000,000,000
$100,000,000,000
$1,000,000,000,000
Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
Bitcoin Active Capitalization and Investor Capitalization
Active Capitalization (USD) Investor Capitalization (USD)
Active Cap and Investor Cap (USD)
$1,000,000,000,000
$100,000,000,000
$10,000,000,000
$1,000,000,000
$100,000,000
$10,000,000
$1,000,000
$100,000
Bitcoin Active Capitalization and Investor Capitalization
Active Capitalization (USD) Investor Capitalization (USD)
Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-18 Jan-17 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular 
security or cryptocurrency. Past performance is not indicative of future results.
Dividing Active Cap (active-value, or AV) by Investor Cap (investor-value, or IV) results in the AVIV 
Ratio.
Active Cap can deviate from Investor Cap, as shown below:
AVIVRatio= =
MarketCapUSD ActiveCapUSD
InvestorCapUSD RealizedCapUSD
∙ Liveliness
− ThermoCapUSD
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
18
Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-18 Jan-17 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
Price (USD)
AVIV Ratio
$100,000
$10,000
$1,000 200%
20%
$100
$10
$1
$0
$0
Bitcoin AVIV Ratio
20%
200%
$0
$0
$1
$10
$100
$1,000
$10,000
$100,000
Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
AVIV Ratio
Price (USD)
Bitcoin AVIV Ratio
Price (USD) AVIV Ratio 1 Line (100%) 0.55 Line (55%) 2.5 Line (250%) Price (USD) AVIV Ratio 1 Line (100%) 0.55 Line (55%) 2.5 Line (250%)
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular 
security or cryptocurrency. Past performance is not indicative of future results.
Compared to MVRV, AVIV Ratio seems to assess bitcoin’s over- or under-valuation more accurately; 
when the ratio stands at 1, the oscillator seems to be at its mean, the market at its “middle point,” 
perhaps because AVIV measures actual transactions, as it does not incorporate lost or dormant 
coins, or coinbase transactions. According to our research, an AVIV above 2.5 (250%) suggests that 
bitcoin is overbought; an AVIV below 0.55 (55%) suggests oversold.
Cointime Economics Case Study #2
Cointime-Adjusted Inflation Rate: Is Bitcoin’s Inflation Underestimated?
Cointime also can enhance the measurement of bitcoin’s inflation rate. Typically, the inflation 
rate is calculated by dividing annualized issuance by total outstanding supply. The formula below 
incorporates cointime, weighting inflation by the ratio of active supply to vaulted supply.
InflationRateCointimeAdj.= ∙
IssuanceBTC, Annualized ActiveSupplyBTC
VaultedSupply TotalSupplyBTC BTC
( ) ( )
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
19
Inflation here is weighted by the ratio of active supply and vaulted supply, giving a sense, when 
compared to nominal inflation, if this measurement is under- or over-estimated at any time. 
In the chart below, we can appreciate how active supply became larger than vaulted supply during 
the period between 2013 and 2017, making a major impact on bitcoin’s economic state.
By multiplying (normalizing) nominal inflation rate by the ratio of active and vaulted supplies, we 
believe we can better measure the true inflation of the Bitcoin network. As of May 7, 2023, nominal 
inflation stands at approximately 1.64%, compared to the cointime-adjusted inflation rate of 
2.48%.
0
5,000,000
10,000,000
15,000,000
20,000,000
25,000,000
$0
$0
$1
$10
$100
$1,000
$10,000
$100,000
Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
Total, Active, and Vaulted Supplies (BTC)
Price (USD)
Bitcoin Total, Active, and Vaulted Supplies
Price (USD) Total Supply (BTC) Active Supply (BTC) Vaulted Supply (BTC)
Bitcoin Total, Active, and Vaulted Supplies
Price (USD)
Total Supply (BTC) Active Supply (BTC)
Vaulted Supply (BTC)
Jan-10
Jan-11
Jan-12
Jan-13
Jan-14
Jan-15
Jan-16
Jan-17
Jan-18
Jan-19
Jan-20
Jan-21
Jan-22
Jan-23
Price (USD)
$100,000
$10,000
$1,000
$100
$10
$1
$0
$0
25,000,000
20,000,000
15,000,000
10,000,000
5,000,000
0
Total, Active, and Vaulted Supplies (BTC)
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular 
security or cryptocurrency. Past performance is not indicative of future results.
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
20
0.01%
0.10%
1.00%
10.00%
100.00%
1000.00%
10000.00%
100000.00%
$0
$0
$1
$10
$100
$1,000
$10,000
$100,000
Jan-09 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
Nominal and Cointime-Adjusted Inflation Rate (%)
Price (USD)
Bitcoin Nominal and Cointime-Adjusted Inflation Rates
Price (USD) Nominal Inflation Rate (%) Cointime-Adjusted Inflation Rate (%)
Jan-09
Jan-10
Jan-11
Jan-12
Jan-13
Jan-14
Jan-15
Jan-16
Jan-17
Jan-18
Jan-19
Jan-20
Jan-21
Jan-22
Jan-23
Price (USD)
$100,000
$10,000
$1,000
$100
$10
$1
$0
$0
100000.00%
10000.00%
100.00%
1000.00%
10.00%
0.10%
1.00%
0.01%
Nominal and Cointime-Adjusted Inflation Rate (%)
Bitcoin Nominal and Cointime-Adjusted Inflation Rates
Price (USD) Nominal Inflation Rate (%) Cointime-Adjusted Inflation Rate (%)
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular 
security or cryptocurrency. Past performance is not indicative of future results.
Clearly seen in the early history of Bitcoin, between 2009 and 2011, when Satoshi 10 and early 
miners owned and vaulted most of bitcoin’s supply, the cointime-adjusted inflation rate was 
much lower than the inflation rate as traditionally measured. Since most of the issuance remained 
vaulted proportionally as percentage of total supply, cointime-adjusted inflation was as little as 
1/200th nominal inflation. Put another way, because the flow immediately became the stock11 on 
a nearly 1:1 basis, the effective inflation rate was much lower than the network’s nominal inflation 
rate.
Conversely, from 2013 to 2017, cointime inflation reached parity with nominal inflation, then has 
surpassed it as of the day of this publication. This shows how, since 2017, active supply became 
greater than vaulted supply, making the impact of new issuance on the market larger than 
previous nominal calculation recognized. 
10 Satoshi Nakamoto, creator of the Bitcoin network and bitcoin’s first miner. Also known as the “Patoshi” entity.
11 In this context, “stock” refers to the economic concept of stock-to-flow, the ratio of the current stock, quantity, or supply of a given 
commodity and the flow of new issuance or production of that commodity. A high stock-to-flow ratio usually suggests scarcity of 
circulation.
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
21
By adjusting via cointime, this metric suggests that inflation was severely overestimated in the 
early years of bitcoin—aligning with powerful price appreciation at the time—and moderately 
underestimated today—consistent with a slower bitcoin price appreciation.
Cointime Economics Case Study #3
Cointime Price: A New Floor Model for Bitcoin
Cointime Economics can provide unique metrics derived from just a few inputs like coinblocks, 
supply, and price. Cointime price, for example, is a new time- and volume-weighted floor model 
for bitcoin. Cointime price is calculated as follows:
Compared to bitcoin’s realized price, which is an on-chain volume-weighted average price (VWAP), 
cointime price is both volume- and time-weighted, and it adjusts the market’s cost basis by the 
time-held of each coin involved in a transaction. As of May 7, 2023, the cointime price is $17,568 
USD, 12.6% below realized price and 38.2% below market price, as shown below.
CointimePriceUSD=
∑ CoinblocksStored
∑ [PriceUSD ∙ CoinblocksDestroyed]
$0
$0
$1
$10
$100
$1,000
$10,000
$100,000
Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23
Price, Realized Price, and Cointime Price (USD)
Bitcoin Cointime Price vs. Realized Price
Price (USD) Realized Price (USD) Cointime Price (USD)
Bitcoin Cointime Price vs. Realized Price
Price (USD) Realized Price (USD) Cointime Price (USD)
Jan-11
Jan-12
Jan-13
Jan-14
Jan-15
Jan-16
Jan-17
Jan-18
Jan-19
Jan-20
Jan-21
Jan-22
Jan-23
Price, Realized Price, and Cointime Price (USD)
$100,000
$10,000
$1,000
$100
$10
$1
$0
$0
Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. 
For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular 
security or cryptocurrency. Past performance is not indicative of future results.
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
22
Based on the three case studies presented above, Cointime Economics can be applied in a 
wide array of economic and valuation models. In the version of this paper written for on-chain 
specialists, we offer a wide array of technical descriptions, formulae, and case studies to elucidate 
these metrics further. Please also see our new suite of live Cointime Economics metrics, now live 
on Glassnode.
David joined ARK in January 2022. As a Research Associate, he focuses on Bitcoin 
and cryptoasset on-chain and market research.
Prior to ARK, he was Head of Research at Adaptive Capital in 2019 and 2020. He is 
best known for pioneering the emergent field of cryptocurrency on-chain analysis 
and has created a dozen metrics used industry-wide today, including the MVRV 
Ratio and the Puell Multiple. His metrics are featured in most major cryptoasset 
data platforms such as Glassnode, Coin Metrics, and CryptoQuant. David has been 
quoted in Bitcoin Magazine, Coindesk, among other publications, and has been 
featured in the Bitcoin Magazine Podcast, Will Clemente’s Blockware Intelligence 
Podcast, and The Pomp Podcast.
James Check (pseudonym Checkmate) is the Lead Analyst for Glassnode 
and specializes in the study of the Bitcoin economy. He has a background in 
geotechnical engineering, and has experience in leading the design of a range of 
projects including tunnels, mine shafts, basements, and foundations.
He fell down the Bitcoin rabbit hole during 2018 bear market and began his 
research into the field of on-chain analytics as the discipline began to emerge 
later that year. He developed passion for macroeconomics, markets, and Bitcoin 
on-chain data, and started down the path of education, seeking to help curious 
investors understand more about what happens under the hood of Bitcoin.
James joined Glassnode as Lead Analyst in February 2021, where he manages a 
team of analysts responsible for conducting research, developing new metrics, 
analyzing markets, and creating educational content around the discipline of onchain analytics.
About the Authors
David Puell
James Check
Research Associate
ARK Invest
Lead Analyst
Glassnode
@dpuellARK
@_Checkmatey_
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    Cointime Economics: A New Framework For Bitcoin On-Chain Analysis 
David Puell and James Check
23
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to in any other publication, without the express written permission of ARK Investment Management LLC (“ARK”). 
The information provided is for informational purposes only and is subject to change without notice. This report 
does not constitute, either explicitly or implicitly, any provision of services or products by ARK, and investors should 
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needs. All statements made regarding companies or securities are strictly beliefs and points of view held by ARK 
and are not endorsements by ARK of any company or security or recommendations by ARK to buy, sell or hold any 
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Certain of the statements contained in this presentation may be statements of future expectations and other 
forward-looking statements that are based on ARK’s current views and assumptions and involve known and 
unknown risks and uncertainties that could cause actual results, performance or events to differ materially from 
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ARK assumes no obligation to update any forward-looking information contained in this presentation. 
ARK and its clients as well as its related persons may (but do not necessarily) have financial interests in securities 
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however, ARK does not guarantee the accuracy or completeness of any information obtained from any third party.
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    23/23

    Cointime Economics: A New Bitcoin On-Chain Analysis Framework

    • 1. Join the conversation on X @ARKinvest www.ark-invest.com Cointime Economics A New Framework For Bitcoin On-Chain Analysis Published: 08.24.23 Author: David Puell Research Associate at ARK Invest Co-Author:James Check Lead Analyst at Glassnode Partner Logo Goes Here FOR INFORMATIONAL PURPOSES. This is not a recommendation in relation to any named securities/cryptocurrencies and no warranty or guarantee is provided. Any references to particular securities/cryptocurrencies are for illustrative purposes only. There is no assurance that ARK Invest will make any investments with the same or similar characteristics as any investment presented. The reader should not assume that an investment identified was or will be profitable.
    • 2. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 2 CONTENTS I. Cointime: A New On-Chain Framework and Unit of Measurement II. Cointime Economics Coinblocks Created Coinblocks Destroyed Coinblocks Stored The Big Picture III. Using Cointime to Measure Bitcoin’s Economic State IV. Using Cointime to Measure Supply Activity V. Cointime Economics Case Study #1 VI. Cointime Economics Case Study #2 VII. Cointime Economics Case Study #3 3 4 5 6 8 10 12 13 15 18 21
    • 3. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 3 In 2022 and 2023, ARK Invest and Glassnode collaborated to develop a new economics framework for analyzing Bitcoin on-chain metrics—Cointime Economics. Our work together now offers two companion pieces: this white paper, which is written for a broad investor audience, and a second version found at Glassnode’s website, written for on-chain specialists. Please note that the information presented in this paper represents a new concept that has not been widely used or adopted at the time of publication and should not be relied upon as a basis for any investment decision. Cointime: A New On-Chain Framework and Unit of Measurement1 We are presenting Cointime Economics as a new way of modeling the dynamics of bitcoin’s supply and demand based on a fungible unit of measurement of Bitcoin’s economy—coinblocks. In addition to the traditional Unspent Transaction Output (UTXO) 2 models, we believe this framework captures the real economic weight of each bitcoin in the network and provides a suite of metrics to assess Bitcoin’s fundamentals more accurately. In this piece, we introduce “coinblocks” as the base unit of measurement in the Bitcoin economy and provide Cointime Economics as a framework complementary to the traditional, UTXO-based framework of on-chain analysis. Based on this framework, we will provide: 1. A representation of Bitcoin’s economic state. 2. Improvements to traditional Bitcoin valuation metrics. 3. A new set of on-chain analytics to measure Bitcoin’s activity. We also will provide three case studies illustrating the potential benefits of Cointime Economics: 1. A more precise version of the market-value-to-realized-value (MVRV) ratio, one of the most widely used on-chain metrics today. 2. A more accurate measurement of bitcoin’s inflation rate over time. 3. Bitcoin’s volume- and time-weighted cost basis. 1 On-chain analysis is a research field that leverages information found on public blockchains to inform investors about the economic state of a given cryptocurrency. On-chain data usually include information regarding all transactions that occur on a certain public blockchain network. For example, transaction details such as: sending and receiving addresses, transferred tokens or currencies, transaction amount, transaction time and date, transaction fees, and the remaining funds for a certain address. 2 UTXO is Bitcoin’s accounting system at the protocol level. It indicates the amount of bitcoin remaining in each address after any given transaction. The UTXO system accounts only for number of coins as unit of account.
    • 4. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 4 Cointime Economics Conceptually, Cointime Economics posits that the importance of a single bitcoin should vary based on the last time it moved. Upon its transfer, for example, the information value of a bitcoin that had been unmoved for 10 years is more important than one that had been unmoved for 1 week.3 In addition, in this model of the Bitcoin economy, a lost bitcoin no longer counts as part of the outstanding supply or market cost basis. While traditional UTXO-based solutions have attempted to make supply adjustments using industry-standard heuristics (such as adjusted supply and free-float supply), the adjustments have followed analyst-made decisions that may be prone to inaccuracies. In contrast, we believe the Cointime framework provides a highly consistent, mathematical framework measuring the economic importance of each bitcoin through time with a fungible unit of measurement that seems to better represent the economic state of the network—coinblock. Coinblocks are the product of the number of bitcoin and the number of blocks4 produced during the period in which those bitcoin remained unmoved. For example, 10 coins held during the time necessary to produce 10 blocks represents 100 coinblocks. Coinblocks can be expressed in alternative units by multiplying the number of bitcoin by the period during which they remain unmoved. For example, the commonly used “coindays” are the product of the number of bitcoin and the number of days they remain unmoved. Cointime can be 3 In our view, coins held for a prolonged period of time suggest ownership by the market cohort with the longest time investment horizon and the most profitable cost basis. They therefore display the market behavior of the largest capitalized and historically most savvy market participants in Bitcoin’s history. 4 Blocks are data structures containing the transaction data in a shared cryptocurrency protocol. When blocks are added linearly, they are called a “blockchain.” In the Bitcoin network, each block production is targeted to last 10 minutes. Sources: ARK Investment Management LLC & Glassnode, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Number of coins Coinblocks Number of blocks held × =
    • 5. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 5 expressed in dollar terms—such as “dollardays”—by multiplying the number of bitcoin valued in USD by the number of days they remain unmoved. Instead of using bitcoin’s outstanding supply to characterize Bitcoin’s economy, cointime uses coinblocks. Coinblocks Created Each unit of bitcoin’s circulating supply generates one coinblock. “Coinblocks created” (CBC) represents the total cointime created in the Bitcoin network, independent of coin movement. For example, if 4 coins are in circulation over a period of 4 blocks, they would create 16 coinblocks, as shown below. Because the Bitcoin network produces a block every 10 minutes on average, one coin generates approximately 144 coinblocks per day: 6 blocks produced per hour multiplied by 24 hours. The sum of all coinblocks created is the maximum cointime in the network, including the last coin minted and block produced. On block 788,709 during May 7, 2023, the network created 2.7 billion coinblocks, as shown below. Sources: ARK Investment Management LLC & Glassnode, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. b=1 b=2 b=3 b=4 = Coinblocks created
    • 6. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 6 Coinblocks Destroyed “Coinblocks destroyed” (CBD), more commonly presented as “coindays destroyed” (CDD), measures the time-weighted turnover of bitcoin: volume, or the number of bitcoin moved in a given period, and holding period, or the time held before moving. If two bitcoins had not moved in seven blocks and then transacted, for example, 14 coinblocks would have been destroyed. An increase in the number of coinblocks destroyed implies the movement of coins that had been static for a long time. Whenever a coin is moved, it “destroys” all accumulated coinblocks up to that point in time, resetting its cointime back to zero. Coinblocks destroyed bases the economic weight of each coin on the time it last moved. In contrast, the UTXO model assigns the same weight to each coin, regardless of when it last moved. In the example below, out of 16 coinblocks created, 6 coinblocks were destroyed. Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results. Bitcoin Coinblocks Created Price (USD) Coinblocks Created (7-Day Median) Price (USD) $100,000 3,500,000,000 $10,000 3,000,000,000 $1,000 2,500,000,000 $100 2,000,000,000 $10 1,500,000,000 $1 1,000,000,000 $0 500,000,000 $0 0 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Coinblocks Created
    • 7. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 7 Heavy coinblock destruction suggests that long-term holders are selling. Bitcoin’s “smart money” 5 typically hold larger bitcoin balances and trade from lower cost bases, generating higher profits. As a result, smart money trades tend to have a more profound economic impact than less seasoned trades. In other words, major spikes in coinblocks destroyed have had a high correlation with a peak in bitcoin’s price, as shown below. On May 7, 2023, 739 million coinblocks were destroyed. 5 In this context, “smart money” refers colloquially to the cohort of market investors or traders who in aggregate tend to have a longer time horizon and higher profits relative to their cost bases. Sources: ARK Investment Management LLC & Glassnode, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. b=1 b=2 b=3 b=4 Moved Moved = Coinblocks destroyed Moved
    • 8. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 8 Coinblocks Stored “Coinblocks stored” (CBS) represents the total number of coinblocks that have not been destroyed, or the difference between total coinblocks created and total coinblocks destroyed. The economic value of these coins is high because they belong to bitcoin’s early adopters and typically are held at a profit. When 6 out of a total of 16 coinblocks created are destroyed, as shown below, 10 coinblocks remain stored: Bitcoin Coinblocks Destroyed Price (USD) Coinblocks Destroyed (7-Day Median) Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-18 Jan-17 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 10,000,000,000 9,000,000,000 8,000,000,000 7,000,000,000 6,000,000,000 5,000,000,000 4,000,000,000 3,000,000,000 2,000,000,000 1,000,000,000 0 $100,000 $10,000 $1,000 $100 $10 $1 $0 $0 Price (USD) Coinblocks Destroyed Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results.
    • 9. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 9 Sources: ARK Investment Management LLC & Glassnode, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. On May 7, 2023, 1.9 billion coinblocks remained stored in the Bitcoin network, the daily values of which are shown through time in the chart below. When negative, in this case over a period of seven days, the number of coinblocks destroyed has surpassed the number created, suggesting the movement of a substantial number of old coins in a short period of time. b=1 b=2 b=3 b=4 Moved Moved Moved = Coinblocks stored
    • 10. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 10 -8,000,000,000 -6,000,000,000 -4,000,000,000 -2,000,000,000 0 2,000,000,000 4,000,000,000 $0 $0 $1 $10 $100 $1,000 $10,000 $100,000 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Coinblocks Stored Price (USD) Bitcoin Coinblocks Stored Price (USD) Coinblocks Stored (7-Day Median) Zero Line Bitcoin Coinblocks Stored $100,000 4,000,000,000 2,000,000,000 0 -2,000,000,000 -4,000,000,000 -6,000,000,000 -8,000,000,000 $10,000 $1,000 $100 $10 $1 $0 $0 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-18 Jan-17 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Coinblocks Stored Price (USD) Price (USD) Coinblocks Stored (7-Day Median) Zero Line Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results. The Big Picture Putting the puzzle together, the following graphs illustrate that the 16 coinblocks created—on the left—equal 6 coinblocks destroyed plus 10 coinblocks stored—on the right. b=1 b=2 b=3 b=4 b=1 b=2 b=3 b=4 Moved Moved Moved
    • 11. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 11 From a long-term perspective, the chart below depicts each of the cointime economic building blocks over time. Interestingly, in 2017, coinblocks destroyed began to diverge from those stored, as the total quantity of coinblocks destroyed surpassed that of coinblocks stored. In other words, more coins were active in the market as opposed to lost or strongly dormant. To recap, each cointime building block has a corollary in the UTXO system: 0 2,000,000,000,000 4,000,000,000,000 6,000,000,000,000 8,000,000,000,000 10,000,000,000,000 12,000,000,000,000 $0 $0 $1 $10 $100 $1,000 $10,000 $100,000 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Total Coinblocks Created, Destroyed, and Stored Price (USD) Bitcoin Total Coinblocks Created, Destroyed, and Stored Price (USD) Total Coinblocks Created Total Coinblocks Destroyed Total Coinblocks Stored Price (USD) $100,000 $10,000 $1,000 $100 $10 $1 $0 $0 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-18 Jan-17 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 12,000,000,000,000 10,000,000,000,000 8,000,000,000,000 6,000,000,000,000 4,000,000,000,000 2,000,000,000,000 0 Bitcoin Total Coinblocks Created, Destroyed, and Stored Price (USD) Total Coinblocks Created Total Coinblocks Destroyed Total Coinblocks Stored Total Coinblocks Created, Destroyed, and Stored Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results. UTXO-Based Cointime-Based Coinblocks Created Coinblocks Destroyed Coinblocks Stored Total Outstanding Supply Moved Supply Unmoved Supply
    • 12. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 12 That said, the UTXO system differs from the cointime system in the following ways: Using Cointime to Measure Bitcoin’s Economic State Based on cointime’s building blocks, two metrics characterize Bitcoin’s economic state—liveliness and vaultedness, as shown below. • Liveliness: created by Tamás Blummer in 2018, it divides the total number of coinblocks destroyed by the total number ever created. From 0 to 1, liveliness measures how “active” or “alive” the network is. Coinblock “destruction” captures the activity—the “life”—among the bitcoin in the Bitcoin network. As of May 7, 2023, liveliness equals 0.6, meaning that 60% of all coinblocks created have been destroyed. • Vaultedness: divides the total number of coinblocks stored by the total number created. From 0 to 1, vaultedness measures how “inactive” or “vaulted” the network is. As of May 7, 2023, vaultedness equals 0.4, meaning that 40% of all coinblocks created remain stored. Vaultedness always equals 1 minus liveliness. 6 “Spent output profit ratio” (SOPR) is computed by dividing the realized value (in USD) by the value at creation (USD) of a spent output: the ratio of the price sold and the price paid. Unit of Measurement Unit Fungibility Non-fungible: coins have unequal economic weight Coins (or UTXOs) UTXO-Based System Cointime-Based System Coinblocks (coin volume times blocks held) Fungible: coinblocks have equal economic weight Complexity and Calculation Cost Popular Examples Realized cap, SOPR 6, realized profits and losses Complex, engineering-intensive heuristics: entity adjustments, free-float supply, among others Few inputs and heuristics provide a robust economic picture of Bitcoin Coindays destroyed, liveliness
    • 13. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 13 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% $0 $0 $1 $10 $100 $1,000 $10,000 $100,000 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Liveliness and Vaultedness (%) Price (USD) Bitcoin Liveliness and Vaultedness Price (USD) Liveliness (%) Vaultedness (%) 100% 90% 80% 70% 30% 60% 20% 50% 10% 40% 0% Bitcoin Liveliness and Vaultedness Price (USD) Liveliness (%) Vaultedness (%) Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-18 Jan-17 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Price (USD) Liveliness and Vaultedness (%) $100,000 $10,000 $1,000 $100 $10 $1 $0 $0 Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results. These ratios capture Bitcoin’s economic “energy.” Liveliness is the amount of energy released through time (kinetic energy), while vaultedness is the amount unreleased (potential energy). Taken to their hypothetical extremes, if liveliness were to increase to 1, then all coins in the network would have moved in the last block, leaving no holders. Conversely, if vaultedness were 1, then no miner ever would have sold bitcoin. Using Cointime to Measure Supply Activity We apply liveliness and vaultedness ratios to the supply of bitcoin to measure active supply and vaulted supply, respectively, as shown in the chart below. • Active Supply: multiplies outstanding supply times liveliness to measure the number of coins that have moved in the network at a point in time. As of May 7, 2023, active supply is 11.6 million, or 60% of the 19.3 million in bitcoin outstanding. • Vaulted Supply: also known as “HODLed or lost coins,” multiplies outstanding supply times vaultedness to measure the number of coins that have not been moved. Either they are in strong hands, or they are lost. As of May 7, 2023, vaulted supply is 7.7 million, or 40% of the 19.3 million in bitcoin outstanding.
    • 14. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 14 0 5,000,000 10,000,000 15,000,000 20,000,000 25,000,000 $0 $0 $1 $10 $100 $1,000 $10,000 $100,000 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Total, Active, and Vaulted Supplies (BTC) Price (USD) Bitcoin Total, Active, and Vaulted Supplies Price (USD) Total Supply (BTC) Active Supply (BTC) Vaulted Supply (BTC) Price (USD) $100,000 $10,000 $1,000 $100 $10 $1 $0 $0 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-18 Jan-17 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 25,000,000 20,000,000 15,000,000 10,000,000 5,000,000 0 Total, Active, and Vaulted Supplies (BTC) Bitcoin Total, Active, and Vaulted Supplies Price (USD) Total Supply (BTC) Active Supply (BTC) Vaulted Supply (BTC) Unlike the UTXO framework, which deems a coin as “moved” as it leaves its coinbase address 7, the cointime framework weights each coin by the time in which it has been static. In other words, if old coins move, they will have a larger impact on bitcoin’s economic activity. For example, in the UTXO framework, if a miner received a block reward coin and then moved it only one time ten years ago, the coin still is active. In the cointime framework, that same coin would be mostly inactive, weighted by ten coinyears of economic storage and cumulative economic energy. Importantly, the UTXO framework and Cointime Economics have completely different concepts of inactive coins. In UTXO terms, inactive equals miner unspent supply; in Cointime Economics, inactive equals vaulted supply. In the real world of Bitcoin Economics, these differences can be significant. In the chart below, vaulted supply is 4.3x miner unspent supply. We believe vaulted supply is a better representation of inactive coins. 7 Bitcoin address corresponding to a miner’s coinbase transaction, which is the first transaction in each block. It distributes the block reward and fees given to the miner for verifying that block successfully. Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results.
    • 15. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 15 Now, we will highlight three value propositions of Cointime Economics in the form of three case studies: 1. Enhancing UTXO-based valuation models such as MVRV. 2. Enhancing classic UTXO-based economic models such as inflation rate. 3. Enabling the creation of cointime-based models. Cointime Economics Case Study #1 Active-Value-to-Investor-Value (AVIV) Ratio: Enhancing MVRV The first example enhances one of the most popular UTXO-based valuation models, the MVRV ratio (or market-value-to-realized-value ratio). The ratio of market cap to realized cap8 , MVRV attempts to capture long-term over- or under-valuation. While MVRV is useful, its quantitative signal has diminished over time, as shown by the dashed lines below. 8 As opposed to market capitalization, which counts each coin at current market price (supply times price), realized capitalization counts each coin at the time it was last moved (and therefore bought). 0 5,000,000 10,000,000 15,000,000 20,000,000 25,000,000 $0 $0 $1 $10 $100 $1,000 $10,000 $100,000 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Total, Vaulted, and MU Supplies Price (USD) Bitcoin Vaulted Supply vs. Miner Unspent Supply Price (USD) Total Supply (BTC) Vaulted Supply (BTC) Miner Unspent Supply (BTC) Bitcoin Vaulted Supply vs. Miner Unspent Supply Price (USD) Total Supply (BTC) Vaulted Supply (BTC) Miner Unspent Supply (BTC) Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-18 Jan-17 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Price (USD) $100,000 $10,000 $1,000 $100 $10 $1 $0 $0 25,000,000 20,000,000 15,000,000 10,000,000 5,000,000 0 Total, Vaulted, and MU Supplies Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results.
    • 16. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 16 25% 250% $0 $0 $1 $10 $100 $1,000 $10,000 $100,000 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 MVRV Ratio (%) Price (USD) Bitcoin MVRV Ratio Price (USD) MVRV Ratio 1 Line (100%) Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-18 Jan-17 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Price (USD) MVRV Ratio (%) $100,000 250% $10,000 25% $1,000 $100 $10 $1 $0 $0 Bitcoin MVRV Ratio Price (USD) MVRV Ratio 1 Line (100%) Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results. Introducing cointime to the calculation, without the use of regressions or z-scores,9 may improve the signal for over- and under-valuation. Active Capitalization weights the numerator—market cap—by liveliness, filtering out unmoved coins and isolating the USD value of active coins in the network. To measure Investor Capitalization, we subtract thermo cap—the cumulative USD value earned by miners over time—from realized cap to remove these transactions from the overall cost basis of the market and measure the cost basis for all active investors. ARK Invest developed this metric in 2021. As of May 7, 2023, Investor Capitalization is only 2.8% above Active Capitalization, denoting that the latter has returned to what seems its historical mean, as shown in the chart below. 9 In statistics, regressions measure the relation of the mean value of one variable and the values of a reference population; z-scores measure the standard deviations from the mean value of a variable from a reference population. Regressions and z-scores typically are used in onchain analysis for adjusting a metric for volatility over a time horizon.
    • 17. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 17 $100,000 $1,000,000 $10,000,000 $100,000,000 $1,000,000,000 $10,000,000,000 $100,000,000,000 $1,000,000,000,000 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Bitcoin Active Capitalization and Investor Capitalization Active Capitalization (USD) Investor Capitalization (USD) Active Cap and Investor Cap (USD) $1,000,000,000,000 $100,000,000,000 $10,000,000,000 $1,000,000,000 $100,000,000 $10,000,000 $1,000,000 $100,000 Bitcoin Active Capitalization and Investor Capitalization Active Capitalization (USD) Investor Capitalization (USD) Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-18 Jan-17 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results. Dividing Active Cap (active-value, or AV) by Investor Cap (investor-value, or IV) results in the AVIV Ratio. Active Cap can deviate from Investor Cap, as shown below: AVIVRatio= = MarketCapUSD ActiveCapUSD InvestorCapUSD RealizedCapUSD ∙ Liveliness − ThermoCapUSD
    • 18. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 18 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-18 Jan-17 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Price (USD) AVIV Ratio $100,000 $10,000 $1,000 200% 20% $100 $10 $1 $0 $0 Bitcoin AVIV Ratio 20% 200% $0 $0 $1 $10 $100 $1,000 $10,000 $100,000 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 AVIV Ratio Price (USD) Bitcoin AVIV Ratio Price (USD) AVIV Ratio 1 Line (100%) 0.55 Line (55%) 2.5 Line (250%) Price (USD) AVIV Ratio 1 Line (100%) 0.55 Line (55%) 2.5 Line (250%) Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results. Compared to MVRV, AVIV Ratio seems to assess bitcoin’s over- or under-valuation more accurately; when the ratio stands at 1, the oscillator seems to be at its mean, the market at its “middle point,” perhaps because AVIV measures actual transactions, as it does not incorporate lost or dormant coins, or coinbase transactions. According to our research, an AVIV above 2.5 (250%) suggests that bitcoin is overbought; an AVIV below 0.55 (55%) suggests oversold. Cointime Economics Case Study #2 Cointime-Adjusted Inflation Rate: Is Bitcoin’s Inflation Underestimated? Cointime also can enhance the measurement of bitcoin’s inflation rate. Typically, the inflation rate is calculated by dividing annualized issuance by total outstanding supply. The formula below incorporates cointime, weighting inflation by the ratio of active supply to vaulted supply. InflationRateCointimeAdj.= ∙ IssuanceBTC, Annualized ActiveSupplyBTC VaultedSupply TotalSupplyBTC BTC ( ) ( )
    • 19. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 19 Inflation here is weighted by the ratio of active supply and vaulted supply, giving a sense, when compared to nominal inflation, if this measurement is under- or over-estimated at any time. In the chart below, we can appreciate how active supply became larger than vaulted supply during the period between 2013 and 2017, making a major impact on bitcoin’s economic state. By multiplying (normalizing) nominal inflation rate by the ratio of active and vaulted supplies, we believe we can better measure the true inflation of the Bitcoin network. As of May 7, 2023, nominal inflation stands at approximately 1.64%, compared to the cointime-adjusted inflation rate of 2.48%. 0 5,000,000 10,000,000 15,000,000 20,000,000 25,000,000 $0 $0 $1 $10 $100 $1,000 $10,000 $100,000 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Total, Active, and Vaulted Supplies (BTC) Price (USD) Bitcoin Total, Active, and Vaulted Supplies Price (USD) Total Supply (BTC) Active Supply (BTC) Vaulted Supply (BTC) Bitcoin Total, Active, and Vaulted Supplies Price (USD) Total Supply (BTC) Active Supply (BTC) Vaulted Supply (BTC) Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Price (USD) $100,000 $10,000 $1,000 $100 $10 $1 $0 $0 25,000,000 20,000,000 15,000,000 10,000,000 5,000,000 0 Total, Active, and Vaulted Supplies (BTC) Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results.
    • 20. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 20 0.01% 0.10% 1.00% 10.00% 100.00% 1000.00% 10000.00% 100000.00% $0 $0 $1 $10 $100 $1,000 $10,000 $100,000 Jan-09 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Nominal and Cointime-Adjusted Inflation Rate (%) Price (USD) Bitcoin Nominal and Cointime-Adjusted Inflation Rates Price (USD) Nominal Inflation Rate (%) Cointime-Adjusted Inflation Rate (%) Jan-09 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Price (USD) $100,000 $10,000 $1,000 $100 $10 $1 $0 $0 100000.00% 10000.00% 100.00% 1000.00% 10.00% 0.10% 1.00% 0.01% Nominal and Cointime-Adjusted Inflation Rate (%) Bitcoin Nominal and Cointime-Adjusted Inflation Rates Price (USD) Nominal Inflation Rate (%) Cointime-Adjusted Inflation Rate (%) Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results. Clearly seen in the early history of Bitcoin, between 2009 and 2011, when Satoshi 10 and early miners owned and vaulted most of bitcoin’s supply, the cointime-adjusted inflation rate was much lower than the inflation rate as traditionally measured. Since most of the issuance remained vaulted proportionally as percentage of total supply, cointime-adjusted inflation was as little as 1/200th nominal inflation. Put another way, because the flow immediately became the stock11 on a nearly 1:1 basis, the effective inflation rate was much lower than the network’s nominal inflation rate. Conversely, from 2013 to 2017, cointime inflation reached parity with nominal inflation, then has surpassed it as of the day of this publication. This shows how, since 2017, active supply became greater than vaulted supply, making the impact of new issuance on the market larger than previous nominal calculation recognized. 10 Satoshi Nakamoto, creator of the Bitcoin network and bitcoin’s first miner. Also known as the “Patoshi” entity. 11 In this context, “stock” refers to the economic concept of stock-to-flow, the ratio of the current stock, quantity, or supply of a given commodity and the flow of new issuance or production of that commodity. A high stock-to-flow ratio usually suggests scarcity of circulation.
    • 21. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 21 By adjusting via cointime, this metric suggests that inflation was severely overestimated in the early years of bitcoin—aligning with powerful price appreciation at the time—and moderately underestimated today—consistent with a slower bitcoin price appreciation. Cointime Economics Case Study #3 Cointime Price: A New Floor Model for Bitcoin Cointime Economics can provide unique metrics derived from just a few inputs like coinblocks, supply, and price. Cointime price, for example, is a new time- and volume-weighted floor model for bitcoin. Cointime price is calculated as follows: Compared to bitcoin’s realized price, which is an on-chain volume-weighted average price (VWAP), cointime price is both volume- and time-weighted, and it adjusts the market’s cost basis by the time-held of each coin involved in a transaction. As of May 7, 2023, the cointime price is $17,568 USD, 12.6% below realized price and 38.2% below market price, as shown below. CointimePriceUSD= ∑ CoinblocksStored ∑ [PriceUSD ∙ CoinblocksDestroyed] $0 $0 $1 $10 $100 $1,000 $10,000 $100,000 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Price, Realized Price, and Cointime Price (USD) Bitcoin Cointime Price vs. Realized Price Price (USD) Realized Price (USD) Cointime Price (USD) Bitcoin Cointime Price vs. Realized Price Price (USD) Realized Price (USD) Cointime Price (USD) Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-19 Jan-20 Jan-21 Jan-22 Jan-23 Price, Realized Price, and Cointime Price (USD) $100,000 $10,000 $1,000 $100 $10 $1 $0 $0 Sources: ARK Investment Management LLC & Glassnode. Information as of May 7, 2023. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results.
    • 22. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 22 Based on the three case studies presented above, Cointime Economics can be applied in a wide array of economic and valuation models. In the version of this paper written for on-chain specialists, we offer a wide array of technical descriptions, formulae, and case studies to elucidate these metrics further. Please also see our new suite of live Cointime Economics metrics, now live on Glassnode. David joined ARK in January 2022. As a Research Associate, he focuses on Bitcoin and cryptoasset on-chain and market research. Prior to ARK, he was Head of Research at Adaptive Capital in 2019 and 2020. He is best known for pioneering the emergent field of cryptocurrency on-chain analysis and has created a dozen metrics used industry-wide today, including the MVRV Ratio and the Puell Multiple. His metrics are featured in most major cryptoasset data platforms such as Glassnode, Coin Metrics, and CryptoQuant. David has been quoted in Bitcoin Magazine, Coindesk, among other publications, and has been featured in the Bitcoin Magazine Podcast, Will Clemente’s Blockware Intelligence Podcast, and The Pomp Podcast. James Check (pseudonym Checkmate) is the Lead Analyst for Glassnode and specializes in the study of the Bitcoin economy. He has a background in geotechnical engineering, and has experience in leading the design of a range of projects including tunnels, mine shafts, basements, and foundations. He fell down the Bitcoin rabbit hole during 2018 bear market and began his research into the field of on-chain analytics as the discipline began to emerge later that year. He developed passion for macroeconomics, markets, and Bitcoin on-chain data, and started down the path of education, seeking to help curious investors understand more about what happens under the hood of Bitcoin. James joined Glassnode as Lead Analyst in February 2021, where he manages a team of analysts responsible for conducting research, developing new metrics, analyzing markets, and creating educational content around the discipline of onchain analytics. About the Authors David Puell James Check Research Associate ARK Invest Lead Analyst Glassnode @dpuellARK @_Checkmatey_
    • 23. Cointime Economics: A New Framework For Bitcoin On-Chain Analysis David Puell and James Check 23 ARK Invest Management LLC 200 Central Avenue | Suite 220 St. Petersburg, FL 33701 info@ark-invest.com www.ark-invest.com Join the conversation on X @ARKinvest @glassnode ©2023-2028, ARK Investment Management LLC. No part of this material may be reproduced in any form, or referred to in any other publication, without the express written permission of ARK Investment Management LLC (“ARK”). The information provided is for informational purposes only and is subject to change without notice. This report does not constitute, either explicitly or implicitly, any provision of services or products by ARK, and investors should determine for themselves whether a particular investment management service is suitable for their investment needs. All statements made regarding companies or securities are strictly beliefs and points of view held by ARK and are not endorsements by ARK of any company or security or recommendations by ARK to buy, sell or hold any security. Historical results are not indications of future results. Certain of the statements contained in this presentation may be statements of future expectations and other forward-looking statements that are based on ARK’s current views and assumptions and involve known and unknown risks and uncertainties that could cause actual results, performance or events to differ materially from those expressed or implied in such statements. The matters discussed in this presentation may also involve risks and uncertainties described from time to time in ARK’s filings with the U.S. Securities and Exchange Commission. ARK assumes no obligation to update any forward-looking information contained in this presentation. ARK and its clients as well as its related persons may (but do not necessarily) have financial interests in securities or issuers that are discussed. Certain information was obtained from sources that ARK believes to be reliable; however, ARK does not guarantee the accuracy or completeness of any information obtained from any third party. Glassnode Services AG Neuhofstrasse 22 6340 Baar/Switzerland contact@glassnode.com www. glassnode.com


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