Most tokenomics analysis misprices supply because it starts from total supply or FDV instead of tradable float. The market does not clear theoretical supply. It clears the subset of tokens that can actually move, on venues that can actually absorb size, under governance structures that can actually authorize distribution.
FDV is a dilution ceiling, not a market structure model
Max supply is a code-level ceiling. It is not a statement about what is available to trade. CoinGecko defines max supply as the theoretical maximum, total supply as on-chain supply minus burned tokens, and circulating supply as the amount actively available and trading in the public market. It explicitly excludes locked, vested, treasury, and many team or foundation balances, even when those balances are technically unlocked.
That distinction makes FDV useful for one job only. FDV is a long-dated dilution reference point. It is weak as a pricing input when the gap between current float and eventual supply is large, the unlock path is slow, or the deployable treasury sits behind governance. In those cases, “cheap on FDV” and “liquid enough to absorb size” are completely different claims.
Liquidity structure should be read before valuation optics. Kaiko argues that market depth is the most relevant gauge of liquidity because it measures orders actually waiting to be filled within a price range. CoinMarketCap separately notes that some exchanges have reported inflated volumes that create a false sense of liquidity. Volume without depth is a weak defense against unlocks, treasury sales, or large holder rotation.
Circulating supply still overstates real float and sometimes understates latent supply
Circulating supply is a better starting point than total supply, but it is still not the same thing as real float. It can overstate immediate tradable inventory when large balances sit in staking, strategic wallets, or fragmented venues. It can also understate deployable supply when governance-controlled treasuries or ecosystem pools are unlocked but not counted as circulating.
Celestia makes this distinction unusually explicit. The protocol documentation defines circulating supply as TIA without onchain transfer restrictions, but defines available supply more broadly to include tokens that are already unlocked yet still subject to governance over allocation, including future initiatives and the unlocked portion of R&D and ecosystem tokens. That is the right analytical move because it separates public float from administratively deployable supply.
Locked principal does not mean locked emissions. Celestia states that all tokens, locked or unlocked, may be staked, and that staking rewards are unlocked upon receipt and add to circulating supply. A schedule can therefore look tight on principal unlocks while still leaking liquid supply through staking rewards earned on a large locked base.
Staked supply is also not instantly marketable supply. On Solana, delegated stake must be deactivated before withdrawal, stake changes complete only at epoch boundaries, and no more than 25% of total active stake can activate or deactivate in a single epoch. That creates real but bounded liquidity friction. A high staking ratio compresses float, but it does not erase future sell-side capacity.
Unlock schedules are liquidity events, not spreadsheet details
Unlock analysis works only when it is tied to float, wallet control, and venue capacity. The same nominal unlock can be irrelevant for a deeply liquid asset and destabilizing for a token whose float is concentrated in a few pools or a few centralized exchange pairs. The table below shows why headline allocations are only the first layer of analysis.
| Token | Documented supply structure | Liquidity-relevant reading |
|---|---|---|
| UNI | Uniswap minted 1 billion UNI at genesis. 60.00% went to community members, 21.266% to team members and future employees, 18.044% to investors, and 0.69% to advisors. 15% of total supply was immediately claimable by historical users and LPs, while a 2% annual inflation rate starts after year four. | Community-heavy optics did not mean high immediate float. At launch, only a minority of the supply was directly claimable, while treasury release and multi-year vesting determined the rest of the float path. |
| TIA | Celestia launched with 1,000,000,000 TIA. Only 7.41% was public allocation unlocked at launch. 20.00% sat in future initiatives, 26.79% in R&D and ecosystem, 19.67% with Series A&B backers, 15.90% with seed backers, and 17.64% with initial core contributors. Public allocation was fully unlocked at launch, while backers and contributors began unlocking from year one. | TIA is a clear case where low initial public float coexisted with a much larger stock of future and governance-controlled supply. Celestia’s own distinction between circulating and available supply is more informative than a simple FDV frame. |
| ENA | Ethena allocates 30% of ENA to core contributors, locked on a 1-year 25% cliff followed by 3 years of linear monthly vesting. Another 30% is for ecosystem development and airdrops, with the first 10% used for seasons one and two. Ethena states that core contributor and investor unlock schedules started at TGE on March 5, 2024. | ENA shows why analysts should model post-cliff monthly release, not just headline community allocation. A token can look broadly distributed while still facing highly regular insider or investor liquidity release once cliffs expire. |
| WLD | World launched WLD on July 24, 2023 with a 10 billion total supply. World says 75% was allocated to the community and that the Foundation’s goal is to allocate at least 60% of all WLD to users. Circulating supply started just above 100 million WLD and, as of April 28, 2025, stood at about 1.3 billion WLD. Team and investor tokens started unlocking on July 24, 2024, with nearly all of those unlocks concluding by the end of July 2028. | WLD is a strong example of why low initial float can keep FDV analytically noisy for years. The relevant supply question is not “10 billion exists.” It is “how fast do user claims, team unlocks, investor unlocks, and operating distributions become sellable?” |
Emission mechanics can matter more than the next vesting cliff
Not all dilution comes from unlocks. Some comes from protocol issuance, and some is offset by protocol burn. Ethereum’s EIP-1559 permanently burns the base fee, while only the priority fee goes to block producers. The EIP explicitly frames that burn as counterbalancing ETH inflation.
Solana’s documented monetary schedule starts at 8% annual inflation, declines by 15% per year, and converges to a 1.5% long-term rate. Rewards depend on the inflation rate, total staked SOL, and validator commission, and issuance is distributed to delegated stake accounts and validators.
The implication is straightforward. Two tokens can have similar unlock calendars and radically different sell-side dynamics if one burns usage fees and the other pays ongoing issuance to stakers. Tokenomics analysis that ignores the burn-emission loop will misread medium-term float pressure.
Venue structure determines whether supply can actually clear
Reported volume is a weak proxy for executable liquidity. CoinMarketCap says some exchanges have reported inflated trading volumes to create a false sense of liquidity, while Kaiko emphasizes market depth, spreads, slippage, and actual orders resting near mid-price. For unlock analysis, that is the correct hierarchy. Depth matters more than headline turnover.
DEX liquidity is also not one bucket. Uniswap v3 introduced concentrated liquidity and multiple pools per pair with different fee tiers. That means the same token can look liquid on aggregate while being shallow at the exact price path a forced seller would hit. TVL is not depth. Pool count is not depth. Even “liquidity” can be price-band specific.
Uniswap’s own market-depth research makes the point concrete. For the sample from June 2021 to March 2022, Uniswap v3 showed about 2x the average market depth of both Binance and Coinbase in ETH-dollar pairs, and the expected price impact on a $5 million ETH-dollar trade was materially lower than on Coinbase in that sample. The lesson is not that DEX liquidity always wins. The lesson is that venue design and concentration can dominate token-level supply optics.
Governance concentration is a treasury risk in disguise
Governance concentration is a supply variable because governance can change emissions, unlock policy, incentive routing, fee switches, treasury deployments, and buyback logic. A study of Compound and Uniswap found that the top 10 voters held 57.86% and 44.72% of voting power respectively, and proposals needed an average of only 2.84 voters to reach at least 50% of the votes.
A separate empirical study of Compound, Uniswap, and ENS likewise found that the majority of voting power was concentrated in a small number of addresses, even if those powerful actors did not often overturn broader voter preferences. That nuance matters. Concentration does not automatically imply abuse, but it does imply that treasury and emission policy can be changed by a narrow decision set.
The analytical consequence is simple. Published vesting schedules are only the default path. Real float also depends on who can vote through treasury distributions, parameter changes, or new incentive programs. If governance is concentrated, the token’s practical supply curve is more discretionary than the allocation pie chart suggests.
What serious tokenomics analysis should actually deliver
Serious tokenomics analysis should output a float model, not a slogan about community ownership. At minimum, the work should produce a wallet-level map of circulating, non-circulating, governance-controlled, staked, and soon-to-unlock supply. That is the only way to separate supply optics from real market inventory.
- A 30, 90, and 180 day float schedule that tracks cliffs, linear vesting, staking reward leakage, and treasury deployability.
- A staking-adjusted liquidity view that accounts for deactivation latency and how much supply can realistically re-enter the market in stress.
- A venue map that measures executable depth and slippage across the actual pools and exchange pairs where the token trades, instead of relying on reported volume.
- A governance control map that identifies who can approve grants, emissions, fee changes, treasury diversification, or other float-changing decisions.
- A mechanism sensitivity model for burn, inflation, and incentive programs, because issuance policy can overpower vesting policy over time.
For teams buying tokenomics consulting, the minimum acceptable deliverable is this kind of float-first market structure work. At FinDaS Tokenomics, that is the practical dividing line between cosmetic token economy design and analysis that is actually useful once the token hits live markets. Supply optics are easy to manufacture. Real liquidity is not.
