The rise of digital assets has forced economists and blockchain strategists to reconsider classical monetary theories in a completely new context, where transaction barriers are removed and liquidity can reach instant levels. In this in-depth report, Tan Phat Digital will help you unpack the concept of token velocity — one of the most important but also most controversial variables of token economics. Token velocity measures the rate at which units of assets change ownership within a cryptocurrency ecosystem. The central question facing developers and investors is whether high velocity is a signal of strong adoption or a silent "enemy" eroding the long-term value of assets.
Theoretical Foundations and Equation of Exchange in the Context of Digital Assets
To understand the impact of velocity on value, it is necessary to start with Irving Fisher's Equation of Exchange, which has been used by experts like Chris Burniske and Vitalik Buterin adjusting to the crypto economy. In traditional economics, this equation is expressed as MV=PT, where M is the money supply, V is the velocity of money, P is the average price of goods, and T is the total number of economic transactions.
Burniske Model: MV = PQ and the valuation of the financial base asset
Chris Burniske refined this equation to MV=PQ as it applies to the valuation of digital assets:
M represents the size of the asset base, or required market capitalization.
V is the asset's velocity, measured in times a coin average changes owners every day or year.
P is the price of the digital resource being provisioned (for example, price per GB of storage).
Q is the actual quantity of the digital resource being provisioned.
From this equation, the value of the asset base M is calculated equal to:
M=VPQ
Mathematically, M is inversely proportional to V. Other things being equal, the longer a unit of token is retained in the wallet (low velocity), the higher the value of the entire network. Conversely, if people only buy tokens to use and sell immediately (high velocity), then only a small amount of continuously circulating tokens is enough to sustain the entire economy, leading to a low market capitalization.
Buterin Model: MC = TH and emphasis on holding period
Vitalik Buterin offers an approach that focuses on user behavior through the formula MC=TH:
M is the total money supply.
C is the price of that currency (equivalent to 1/P).
T is the volume of economic transactions.
H represents a person's time use to hold coins before trading (H=1/V).
The C token price is calculated by:
C=MTH
This formula reinforces that the token price is proportional to the holding time of H. Therefore, encouraging users to hold assets longer is a direct lever to increase value.
Compare two basic valuation models:
Burniske Model (MV = PQ):
Analytic focus: Economic scale and capital efficiency.
Definition of Velocity: Number of turnovers. in one year (V).
Valuation target: Overall market capitalization (M).
Meaning of P: Price of supply system resources.
Buterin model (MC = TH):
Analytical focus: Holder behavior and stability definition.
Definition of Velocity: Inverse of holding time (1/H).
Valuation target: Value of each token unit (C).
Meaning of P: Does not appear directly (subsumed into C).
See more: What is Tokenomics?
The "Token Velocity" Problem and the Erosion of Utility Value
Kyle Samani described the "Blockchain Token Velocity Problem" as an existential challenge for utility tokens, especially when they are designed purely as a medium of exchange.
Just-in-Time Mechanism and Capitalization Devaluation
If a network requires fees to be paid in its own token (e.g., TripCoin for ride-hailing) but users do not want to hold it long-term token because other living expenses are in fiat currency, "Just-in-Time" behavior will appear. Users simply convert to tokens immediately before paying, and recipients also sell immediately for fiat. At that time, the holding time H approaches 0 and the velocity V approaches infinity. As a result, the network can be extremely successful in terms of usage but the market capitalization of the token remains stagnant or declines.
Lead Pipe Analogy
Anshuman Mehta illustrates this problem with a metaphor: A $20 billion/year revenue network only needs to process about $650 of value per second. If the token is just a "conduit" for transmitting value, only a few hundred USD worth of tokens circulating extremely quickly would be enough. In this case, the value of the token does not depend on the volume of "water" (money) flowing through if the "pipe" (velocity) is not clogged.
When is high velocity a positive signal?
Although traditional models fear high velocity, some modern views at Tan Phat Digital and research organizations believe that velocity is an essential indicator of dynamism.
Velocity acceleration drives network GDP
If the service price level P and total supply M are fixed, the velocity V must increase to support the increase in service output Q (Network GDP). High velocity allows a limited money supply to serve a large number of physical transactions. A sharp drop in velocity is often a sign of a recession or stagnation of economic activity.
Distinguish between types of velocity:
Service Velocity (V): Transactions that exchange tokens for actual goods/services (gas fees, storage). This type of velocity positively contributes to network GDP.
Velocity of Speculation (V′): Buying and selling between speculators on the floor. This type increases overall velocity but does not create real economic value.
Impact of high velocity on the ecosystem:
On liquidity: Helps reduce price slippage, allowing users to enter/exit the system easily. However, the risk is that the value is diluted because there is no cumulative pressure.
About adoption: Attract developers because the network is active. However, tokens are easily considered "hot" assets and are sold off when there is bad news.
In terms of capital efficiency: Allows the system to support large economic volumes with less capital, but at the same time reduces the need for high market capitalization.
Velocity analysis by asset segment (2024-2025)
Each asset segment There are different velocity expectations depending on the economic function:
Store of Value (Bitcoin): Low velocity is desirable. The majority of Bitcoin supply has not moved in years, creating virtual scarcity and driving up value.
Stablecoins (USDC, USDT):Very high velocity is a competitive advantage. They act as working capital for payments and deposits, requiring instant turnover.
RWA (Real Estate, Bonds): Faces the challenge of too low velocity. The lack of a secondary market leaves assets "static", reducing liquidity — which is the main promise of tokenization.
Utility Tokens: Medium to high velocity is required to ensure seamless system administration and service access.
See also: Token Utility vs Security Token
Velocity control mechanisms in Tokenomics
To protect value, tokenomics architects use tools that create “sinks” for supply:
Staking and fiscal product:
veToken (Vote-Escrowed) model: Requires long-term token lock-up (up to 4 years) in exchange for voting rights, directly reducing velocity and increasing holding time.
Slashing mechanism: Psychological barrier that prevents users from moving assets indiscriminately in PoS protocols.
Burn and Buyback mechanism (Buy-back):
EIP-1559: Basic fee burn on Ethereum turns network activity (increased velocity) into a deflationary engine.
Buy-back and Burn: Uses fee profits (high velocity) to burn tokens, creating a link between commercial success and token value.
Utility design and experience Experimental:
Gamification: Use XP multipliers or access privileges for long-term holders.
Tiered Discounts: Deeper transaction fee reductions for those who maintain large balances (like BNB).
Empirical study of EIP-1559 and velocity
EIP-1559 is the battle biggest test of velocity through the fee market:
Fee volatility: Shift from very high and unpredictable to lower with stable base fees. As a result, friction is reduced, increasing service speed.
Waiting time: Significantly reduced thanks to flexible block size, helping to increase the efficiency of on-chain capital circulation.
Fee distribution: Becoming more fair, encouraging widespread participation instead of just prioritizing the rich.
Circulating supply: Switching from inflation to Reduce supply thanks to the burning mechanism, counterbalancing the downward price pressure from high velocity.
Micro-velocity Analysis
In 2025, instead of looking at velocity as a constant, experts analyze by groups of objects (cohorts):
Validators/Stakers: Velocity is close to zero (fiscal assets).
Liquidity Providers (LP): Very high velocity (rotation for swaps).
Whales (Whales): Anchors reduce velocity (long-term holding).
Arbitrageurs: Extremely high velocity (balance prices between exchanges).
End Users: Velocity depends on actual usage frequency.
The Future of Tokenization (2025-2035)
Velocity will be strongly influenced by AI and traditional finance:
AI entities: Capable of performing thousands of transactions per second, pushing velocity to the limit. This requires smart contracts to automatically regulate fees in real time.
Professional Finance: Institutions like Goldman Sachs or Citi are using tokenization to shorten settlement times from 5 days to under 60 seconds. Here, high velocity is a symbol of operational efficiency.
Typical Case Study on Token Velocity
To illustrate most clearly, Tan Phat Digital synthesizes 10 typical real-life cases in the industry:
Bitcoin (BTC) – Digital gold with minimum velocity: Bitcoin represents the perfect value store asset. With over 57% of users holding long term (velocity = 0), de facto scarcity is created, allowing market capitalization to explode without constant circulation.
Ethereum (ETH) – EIP-1559 and the supply velocity reduction engine: Ethereum has succeeded in turning high transaction velocity into benefits for holders. Through EIP-1559, every time the network is active (velocity increases), base fees are burned, directly reducing circulating supply and counterbalancing price dilution pressure.
Helium (HNT) – Burn-and-Mint Equilibrium (BME) model: Helium uses a unique balance model: HNT must be burned in exchange for Data Credits (for data transmission). As network demand increases, burns increase sharply, making HNT potentially a deflationary asset despite its high usage rate.
MakerDAO (MKR) – Surplus Burn Mechanism:MKR captures value from users borrowing DAI. Stability fees are collected into the system and used to buy back/burn MKR when the surplus reaches a certain threshold. This turns DAI's success into a sink that reduces velocity and increases value for MKR.
Curve Finance (CRV) – veToken: Locking supply to control velocity: Curve pioneers the Vote-Escrowed model, allowing users to lock CRV for up to 4 years. This mechanism removes a large number of tokens from the circulating market (reducing V significantly), creating an incentive for other protocols to join the "Curve war" for voting rights.
Chainlink (LINK) – Staking v0.2 and service value: LINK reduces velocity through locking the assets of Node Operators and the community to secure the network. The "Service Value Return" mechanism ensures a portion of the service fee flows back to the stakers, creating a solid economic reason to hold long-term.
Binance Coin (BNB) – Buyback and Burn from real profits:BNB takes advantage of the extremely high transaction speed on Binance and BSC exchanges to accumulate profits, then perform buyback and burn permanently. This is a prime example of using high-velocity service cash flows to create scarcity for governance tokens.
Terra (LUNA) – Death spiral and sell-off velocity: The most negative case study on velocity. When confidence in UST collapsed, LUNA's turnover rate skyrocketed as the algorithm arbitrarily printed more tokens to save the price. The increase in peak velocity without accompanying demand led to the value going to zero in just a few days.
Stablecoins (USDC/USDT) – High velocity is a measure of success: For stablecoins, velocity is "working capital". USDT will one day reach a turnover rate 5 times greater than the actual supply (turnover ratio > 5). Here, high velocity does not reduce value (because of the fiat price peg) but demonstrates superior capital efficiency compared to traditional banks.
RWA (BUIDL/BlackRock) – Velocity challenge in real assets: Tokenized currency funds like BUIDL are facing too low velocity (turnover only once a year). Despite the large capitalization, the lack of secondary markets makes them "static", posing a problem for designers on how to increase liquidity without causing systemic risk.
Frequently Asked Questions (FAQ)
Below are quick answers from Tan Phat Digital's team of experts on common questions related to token velocity:
Token velocity What is (Token Velocity)? It is the average number of times a token unit changes owners in a certain period of time (usually a year). It reflects the level of cash flow in the ecosystem.
Is high velocity ever good?
Yes. High velocity reflects real economic activity (Network GDP) that is happening actively. In areas such as payments or stablecoins, high velocity is a testament to capital efficiency.
How to accurately measure token velocity?
The simplest way is to divide the total on-chain transaction volume by the average market capitalization. However, Tan Phat Digital recommends using the "Micro-Velocity" model to separate the behavior of whales and real users.
How does the "Just-in-Time" mechanism affect the project?
It causes tokens to only be purchased immediately before use and sold immediately after receipt. This causes the velocity to go to infinity and eliminates the token's ability to accumulate long-term value.
What does the "Lead Pipe" metaphor mean? It implies that if the token only plays the role of transmitting value (like a water pipe), then no matter how much water flows through, the value of the pipe will remain unchanged if it can carry the water fast enough.
Staking helps reduce velocity. How?
Staking locks tokens for a period of time, preventing them from participating in circulation. This directly reduces the variable $V$ and increases the holding time of $H$ .
What effect does the Burn mechanism have on velocity? Burning tokens reduces the total circulating supply, creating scarcity pressure to counterbalance the downward price pressure caused by high velocity.
How does EIP-1559 affect Ethereum's velocity? What does it do? reduces transaction friction by making gas fees more predictable (increasing service velocity), but at the same time burns ETH to preserve value for holders.
What is the "Goldilocks zone" of velocity?
For tokens that act as currencies (M1), the ideal zone is usually between 4 and 15. Lower than this level signals stagnation, higher signals excessive speculation.
Why does Bitcoin have low velocity? Because Bitcoin is positioned as "digital gold" (Store of Value). Users tend to hold for the long term instead of spending on a daily basis, leading to very low turnover.
What is the difference between service velocity and speculative velocity? Service velocity comes from actual product usage, while speculative velocity comes from buying and reselling on exchanges without creating value for the network.
Is zero velocity ideal no? No. Zero velocity means no one uses the token, resulting in liquidity being eliminated and the project dying due to lack of economic interaction.
How will AI impact token velocity after 2025?
AI entities executing automated transactions at millisecond speeds will push token velocity to unprecedented levels, forcing projects to redesign more robust "sinks" .
How can a Utility Token escape the "velocity problem"?
Need to integrate additional features such as governance, tier access or revenue sharing so that users have a real reason to "keep" instead of just "using".
Token velocity is the heartbeat of the digital economy. According to analysis from the Tan Phat Digital team, a sustainable token economy needs flexible circulation for users but also needs calmness from long-term investors:
For developers: Need to design "deceleration" mechanisms such as staking or burning tokens to ensure the application's success is converted into asset value.
For investors: Please Distinguish between service velocity (positive) and speculative velocity (risk). A spike in velocity without on-chain usage growth is often a bubble signal.
For economic management: High velocity is necessary for capital efficiency in payments, but low velocity is key to preserving value for governance tokens.
Tan Phat Digital believes the key lies in keeping velocity in the "Goldilocks zone" where value is present. can crystallize for those who believe in the long-term vision of the project.
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