How to Read a Token's Data: Market Cap, FDV, Circulating Supply, and Unlocks

One of the questions beginners ask most often: “This token is only $3 and that one is $2,000, so the cheap one will rise faster, right?” The answer: unit price by itself means absolutely nothing. All it takes to understand why is one formula.

1. The Formula and the Intuition

Market cap = current price × circulating supply.

Example: token A trades at $0.01 with a circulating supply of 100 billion, for a market cap of $1 billion; token B trades at $50 with a circulating supply of 10 million, for a market cap of only $500 million. Which one is the large cap? A, even though its unit price is just one five-thousandth of B’s.

Once you separate “price” from “size,” you will no longer be led astray by pitches like “this coin costs only a few cents, so getting to $1 means a 3x.” Getting to $1 means the market cap has to triple, which takes real, incremental money flowing in. It has nothing to do with how high or low the unit price is.

2. Market Cap Tiers: Budgeting Psychologically for Volatility

• Large cap (tens of billions of dollars): ETH, SOL, BNB, and the like. Deep liquidity on every major platform worldwide, relatively the least volatile, though the absolute swings are still sizable.
• Mid cap (billions to tens of billions): sector leaders such as LINK, UNI, and AAVE. Real businesses and real depth, but single-day moves on the order of 10% are common.
• Micro cap (under a billion): the vast majority of altcoins. Thin liquidity, easy to manipulate, and a genuine risk of going to zero.

This is not an investment grading but expectation management: for a micro cap, doubling or halving in a day is normal. Your position sizing and your emotions should be calibrated to that volatility in advance.

3. Three Small Traps in Market Cap

1. Inconsistent circulating supply definitions: platforms may define “circulating” differently (whether staked tokens or unvested team tokens are included), so the same project can show different market caps on different platforms.
2. Market cap is not realizable value: for a thin-liquidity micro cap, the market cap on paper can be far from the money you could actually get out.
3. Market cap excludes future supply: reading market cap without FDV understates the sell pressure from unlocks. That is the next lesson.

4. Hands-On Practice

Ten minutes of practice beats reading ten concept articles.

Why It Matters More Than Unit Price

An example of how unit price misleads: a token priced at $0.01 may have a market cap of $1 billion (circulating supply of 100 billion), while a token priced at $100 may have a market cap of only $10 million (circulating supply of 100,000). The absolute unit price carries no value information at all; market cap is what says “how much the whole network is being priced at.” This is also one of the most common beginner misconceptions, that “cheap altcoins rise faster.” Upside and downside have nothing to do with unit price; they have to do with the market cap base, the supply structure, and the strength of the narrative.

How the Tiers Are Drawn and What They Mean

Market cap tiers (large cap / mid cap / small cap / micro cap) are an editorial convention: the tiers roughly track a gradient of liquidity, volatility, and institutional attention. The typical risks of micro-cap tokens: shallow pools (a large order in or out crashes the price), manipulation (low-cost pump and dump), and delisting (the trading pair gets taken down).

Market Cap’s “Denominator Trap”

When you compare the market caps of two projects, the biggest trap is the circulating supply definition: project A has 80% circulating (FDV close to market cap), project B has 20% circulating (FDV is 5x market cap). At the same $500 million market cap, the two differ by 25x in “fully diluted size.” That is why, in a mature research workflow, market cap never appears on its own; it always appears together with FDV and the circulating percentage (see FDV on this site). The second trap is cross-chain accounting: a token deployed on multiple chains (bridged copies) may be counted into the circulating supply more than once. On-chain verification is the arbiter.

Three Advanced Questions About Reading Market Cap

Advanced question one: Can market cap be “manufactured”? A new token with a low float and a high unit price can push the market cap reading up with very little money. Market cap is the arithmetic of price × circulating supply, not proof of “real demand.” Advanced question two: Is cross-chain market cap double-counted? Under some definitions, bridged copies of a token get counted into the circulating supply more than once. On-chain verification is the arbiter. Advanced question three: How does market cap relate to “network value”? For a functional protocol, market cap only means something when compared against the business it carries (TVL, fees). Market cap on its own supports no conclusion.

Q: Is there any basis for the claim that small caps “rise faster”? A: There is a structural basis (price elasticity on a low base with thin liquidity), but that has nothing to do with being “worth buying”: the same elasticity works downward too. Elasticity is a two-way amplifier, and this site offers no advice in either direction.

If market cap tells you “how big the pie is right now,” FDV tells you “how big the pie will stretch once all the tokens are out.” This lesson is the core of reading an altcoin’s supply structure.

1. Definition: Counting What Has Not Come Out Yet

FDV (Fully Diluted Valuation) = current price × total supply, including every token already circulating, still locked, or not yet minted.

Example: project X trades at $1 with 100 million tokens circulating out of a total of 1 billion. Market cap: $100 million; FDV: $1 billion. These numbers tell you that another 900 million tokens are “coming out sooner or later.”

2. The FDV/Market Cap Ratio: An Early-Warning Line for Sell Pressure

Divide FDV by market cap and you get an intuitive ratio:

• Close to 1: the overwhelming majority of tokens are already circulating (old assets like ETH); future new supply comes mainly from issuance, a simple structure.
• 2-3x: a considerable share is still waiting to unlock; you need to read the unlock schedule carefully.
• 5-10x or more: the vast majority of tokens are not circulating yet. Every large unlock is a supply shock and demands an extremely cautious assessment.

Note that this is a description of risk structure, not a value judgment: a high ratio does not mean a project cannot exist; it means demand growth must outrun the release of supply, which has rarely happened when you benchmark against history.

3. The Complete Read, Combined with Market Cap

My habitual three steps: (1) look at market cap first to place the project in a size tier; (2) then look at the FDV/market cap ratio to grade its supply risk; (3) finally use an unlock calendar (tools like tokenomist.ai) to confirm when the next large unlock is and how big it is. After those three steps, the picture of “who is selling over the next two years” is basically clear.

4. Traps Within FDV Itself

• The max supply can be changed by governance: FDV’s denominator can move; a hard cap is not forever.
• Burns and issuance coexist: net supply has to be computed dynamically.
• FDV is not a real valuation: it is a hypothetical “if everything were priced at today’s price” number, and for small, thin-liquidity tokens FDV is especially inflated.

How FDV Is Calculated and What It Means

FDV (Fully Diluted Valuation) = current price × max supply (max_supply; for uncapped tokens, the “total that will ever exist” under the currently accepted tokenomics convention). The question it answers is: if every token were circulating, how much would this network be priced at? The gap between FDV and market cap (price × circulating supply) is exactly the part not yet circulating: locked team allocations, investor allocations, community reserves.

The FDV/Market Cap Ratio: Watching Unlock Sell Pressure

The higher the ratio, the larger the relative size of future new circulating supply: a token whose FDV is 10x its market cap means 90% of the supply has not unlocked yet, and every unlock (a cliff expiring, a linear release) is potential sell pressure. The general reminder about token unlocks in educational material like ethereum.org’s applies here: the unlock schedule is the first part of tokenomics to look at (see token unlocks on this site). Note: FDV is an observational indicator, not a forecasting tool. A high ratio does not necessarily mean a fall; a low ratio does not necessarily mean safety.

Methodology Traps When Reading the Number

For uncapped tokens (ETH, for example), the max supply field is empty (max_supply is unset), so FDV has to use a “conventional future total” or be treated as not comparable. Aggregator platforms handle FDV for uncapped tokens in different ways (in the CoinGecko API, ETH’s max_supply indeed comes back empty).

Three Common Misreadings of FDV

Misreading one: FDV = future market cap. FDV is only the arithmetic of “if everything circulated at today’s price.” Future prices will change, and unlocks will dynamically affect the float; FDV is not a prediction. Misreading two: a high FDV/market cap ratio = trash. A high ratio does signal unlock sell pressure, but a mature project’s large community reserve (an ecosystem fund, for example) does not necessarily turn into immediate sell pressure. Read the ratio together with the unlock schedule (see token unlocks on this site). Misreading three: FDV can be compared across categories. Projects with different tokenomics (with or without max_supply, different inflation models) compute FDV on different bases. Check the basis before comparing (ETH’s empty max supply field in the CoinGecko API is one example).

Reading FDV Together with the Unlock Schedule

FDV tells you “how big the total pie is,” and the unlock schedule tells you “how the pie gets bigger.” Only together do they give the complete sell-pressure picture. In practice: read the FDV/market cap ratio first to pin down the “dilution multiple,” then go to the unlock schedule to find the “time distribution of the dilution” (cliff-heavy periods versus steady-release periods). This site is not investment advice; the value of this way of reading is that it turns “unlock panic” from an emotion into a calendar.

Circulating supply is the multiplier in the market cap formula, and it is also the most inconsistently defined of the three supply metrics. This lesson teaches you to read it accurately.

1. It Sits in the Middle of the Three Numbers

Total supply > circulating supply > burned. Circulating supply is the part of the total “already on the market.” The relationships among the three settle two things: total supply minus circulating supply = supply that exists but is locked; max supply minus total supply = room for future issuance.

2. Why the Platforms Disagree

Three common points of divergence: whether staked tokens count as circulating (technically redeemable, but not sellable in the short term); whether foundation/treasury holdings count (already in existence, but controlled by an entity); how cross-chain versions are counted (a bridged version on another chain may be counted twice). Any one of these can produce a definitional gap of several percent or more.

3. Why Definitional Gaps Are Dangerous

Circulating supply enters the market cap calculation directly. The smaller the reported circulating supply, the smaller the market cap looks, and the more attractive the “so much room left to rise” pitch sounds. This is a classic data-grooming move by some project teams. In the other direction, a sudden upward revision of circulating supply (a methodology correction) can inflate market cap in an instant and strip historical charts of comparability.

My checking method: pick two mainstream data platforms and cross-reference them. A difference within 1-2% counts as normal noise; a systematic gap beyond 5%, and I go to the project’s official documentation for its own supply statement. If it does not reconcile, put it on the risk list.

4. Free Float and What Can Actually Be Sold

There is one more hidden concept: what can actually be sold. The circulating supply may include tokens still inside a staking lock period, market makers’ inventories, and long-term holders’ positions. They circulate on paper but will not actually reach the market in the short term. That is why “100% circulating” does not equal “no sell pressure”: real sell pressure is about the unlock schedule and holder behavior, not this static number.

Methodology Differences in Circulating Supply

“Circulating supply” is not as objective as it sounds: the same project can show a different circulating supply on different data platforms. The differences come from the judgment of “which tokens count as circulating” (do locked tokens count, do staked tokens count, unvested team tokens obviously do not). The CoinGecko API’s field design (the three-way split of circulating_supply / total_supply / max_supply) is exactly a formalization of this scheme: circulating, total, and max are three independent numbers. Whenever you read supply data on any platform, read its methodology note first.

The Relationship with Market Cap

Market cap = price × circulating supply, so definitional differences in circulating supply pass straight through into market cap differences. This is also the main reason “market caps don’t match across platforms.”

Common Forms of Manipulation

Circulating supply can be “managed”: a claimed circulating supply higher than what can actually be traded (locked tokens counted as circulating), a team disguising a low float by holding across many addresses, or manufacturing the appearance of slowing supply growth right before an unlock. The verification path leads back on-chain: the distribution of balances in the contract and the holding records of lock-up contracts. On-chain data is the final arbiter of circulating supply disputes.

How the Three Supply Figures Move Together

Circulating / total / max form a “supply pipeline”: max is the theoretical ceiling (set in the contract), total is what has been minted, circulating is what has been unlocked and tradable. Cross-checks to run while reading: total far below max means large amounts remain unminted (room for issuance); circulating close to total means unlocking is nearly complete, and future sell pressure depends mainly on max; circulating > total (an anomaly) means a definitional conflict, and the data’s credibility is in question.

Reading Circulating Supply Together with “Dilution Speed”

The absolute value of circulating supply is less informative than its “speed of change”: for a project whose circulating supply grows slowly, the sell pressure from unlocks and issuance is gradual; a sudden jump in circulating supply (a large cliff expiring) is a concentrated event. Laying the month-over-month rate of change in circulating supply against the unlock calendar is a standard move in supply-side research (see token unlocks on this site).

Unlock data is where the gap between beginners and veterans is widest: everyone can read a price chart, but “who will be selling over the next two years” hides in the unlock schedule.

1. The Two Rhythms of Unlocking

Cliff: a stage of complete lock-up, during which an investor cannot move a single token. Linear release: after the cliff ends, tokens unlock in monthly or quarterly batches. A common structure is “1-year cliff + 3-year linear,” which means zero supply in year one, then a fixed share entering circulation every month for the following 36 months.

The two risk shapes differ accordingly: an expiring cliff is a one-time shock; linear release is a steady, continuous drip of sell pressure. When you read a schedule, distinguish which of the two you are facing.

2. Reading an Unlock Schedule in Three Steps

1. Size it up: what percentage of the current circulating supply is the next large unlock? Anything above 5% is an event that clearly warrants caution.
2. Check who: whose tokens are unlocking? Investors usually have a stronger urge to cash out than foundations or market makers, which need their long-term reputations.
3. Gauge absorption: compare the unlock size against average daily trading volume. If one month’s unlock needs 30 days of trading volume to be absorbed, the pressure structure is very plain.

3. How the Market Digests Unlocks

Worth remembering: unlock information is public. That means expectations are often priced in ahead of time. Looking back after the fact, there are cases of both crashes and rallies on unlock days, and trading mechanically around unlock dates is unreliable. Its real value is helping you build expectations for a project’s supply structure over the next two years, especially for projects with a very high FDV/market cap ratio (recap: the gap between FDV and market cap is exactly the portion not yet unlocked).

How to Read an Unlock Schedule

The two basic shapes of an unlock schedule: a cliff releases nothing at all during the lock period and everything at once on expiry; linear releases at a steady daily or monthly pace. Most projects are a mix of the two (cliff, then linear). Three actions when reading the table: how much is locked in total, whose portion unlocks first (the team/investors/community order), and the release rhythm (one large lump versus steady drips). zkSync’s rules page offers an official point of comparison: unclaimed airdrop tokens are clawed back and redistributed. A clawback mechanism is also part of “circulating supply management.”

Unlocks and Price

Unlock = potential sell pressure, and “potential” is the key word: whether the unlocked tokens get sold, and how many, depends on the holders’ decisions. This site does not forecast price impact. The observable, objective facts are: the unlock calendar is public information (major cliff events are visible to everyone), and how fully the market digests it is a research question. There is only one discipline-minded piece of advice I can give: read a token’s unlock schedule before you hold it. You cannot control the unlock, but you can choose whether to hold through an unlock-heavy period.

Where Unlock Data Comes From

Unlock schedules come from project official documentation and on-chain lock-up contracts (both checkable). The schedule data on aggregator platforms is second-hand compilation; check the original sources.

The “Source Hierarchy” of an Unlock Schedule

Information about unlock schedules comes in three layers: the contract layer (the lock-up contract’s release conditions, the most verifiable), the documentation layer (the project’s tokenomics chapter), and the aggregation layer (third-party unlock calendars’ compilations). Reliability decreases in that order. The verification method: see “X tens of millions unlocking in month X” at the aggregation layer, go back to the documentation layer for the matching clause, and if necessary verify the lock-up parameters at the contract layer. Skipping between the three layers is the main way unlock information gets distorted.

Unlocks Combined with “Clawback Mechanisms”

Some projects have clawback mechanisms in addition to unlocks (zkSync’s official rules: unclaimed airdrops are clawed back and redistributed, and the minimum claim amount was raised as a result). A clawback is a “negative unlock” that offsets part of the new supply. When reading an unlock schedule, dig out the clawback clauses too: net supply change = unlocks − clawbacks − burns. All three directions need watching.

Tokenomics is a word worn out by overuse. It is not that “the token empowers the ecosystem” paragraph in the marketing material; it is a set of four facts you can check item by item.

Element One: Total Supply and Issuance

Is there a max supply? Is there ongoing issuance? Where does the issuance go? Three archetypes: the hard-cap model (BTC’s 21 million), steady-state low inflation (fee burns offsetting issuance, as in PoS networks), and uncapped perpetual issuance (some meme tokens). None is better or worse, but you should know which one you are evaluating.

Element Two: Allocation Ratios

Regroup the allocation pie by “who can sell right now”: community (already circulating), team (vesting), investors (vesting), foundation/ecosystem treasury (decided by governance). In a model where team plus investors add up to more than 40-50%, retail holders are naturally on the other side of the table. That judgment is not a moral evaluation; it is a description in arithmetic.

Element Three: Release Schedule

Allocation settles “who has it”; release settles “when they can sell.” Key things to verify: how long the cliff is, how long the linear period is, and whether there is an unlock calendar tool to check. This part connects directly to the FDV lesson: FDV/market cap ratio × release schedule = the supply curve for the next two years.

Element Four: Token Utility

Read the whitepaper’s utility statements one by one and label each with its transmission strength: mandatory (you cannot use the network without paying the token, e.g. gas) transmits most strongly; incentive (stake to earn issuance) comes next; ornamental (pure voting with single-digit participation) is weakest. If every entry in a model’s utility column is ornamental, its demand side can essentially be counted as zero.

Good Models and Bad Models Side by Side

• Relatively healthy structure: a large community share that is mostly already circulating, a low team share locked up long-term, mandatory transmission among the utilities, and issuance offset by fee burns.
• Dangerous structure: team plus investors over half, a concentrated unlock after 1 year, a utility column full of “empowering the ecosystem” rhetoric, and unhedged issuance.

The same one-line summary: good tokenomics guarantees nothing, but bad tokenomics almost inevitably hurts holders. It is an elimination tool.

The Four-Element Framework

When reading any tokenomics, all four elements are indispensable: total supply (max_supply or the inflation model), allocation (how much each of team/investors/community/ecosystem holds; the zkSync case: within the 17.5% community share, users got 89% and contributors 11%), release (the unlock schedule, cliff and linear), and utility (governance/fees/staking/payments). All four elements live in the official documentation (zkSync’s rules page and Uniswap’s announcement are exemplars). Whatever the documentation does not spell out, treat as “unknown risk.”

The Visible Difference Between “Good Models and Bad Models”

Signs of a bad model: an extremely high team-plus-investor share, unlocks concentrated early, no vesting terms, a vague community percentage. Signs of a good model: a clearly stated community share with a checkable unlock schedule, contributor lock-ups with linear release, clawback mechanisms (zkSync’s clawback and redistribution of unclaimed tokens). The difference is not a question of morality; it is a structural question of future sell pressure and incentive alignment. This site passes judgment on no specific project; it only provides a way to read them.

The Order for Reading Tokenomics

Step one, read the allocation table (how the total is divided). Step two, read the release table (how much unlocks when; see token unlocks on this site). Step three, read the utility mechanics (what the token does in the protocol, and where the demand comes from). Step four, set it against market cap and FDV (see FDV on this site). Connect the conclusions of the four steps and the token’s “supply story” is complete.

Practicing the “Four-Element Read” on Real Cases

Take two already-verified rules pages for a comparative exercise. Uniswap (allocation view): community 15% (user airdrop 10.06% + LPs 4.92% + SOCKS 0.022%) plus the team/investor portion; the total is uncapped but the initial allocation is fixed (CoinGecko convention: the max supply field is empty). Arbitrum (points-and-thresholds view): doubled before Nitro, starting at 3 points, capped at 12 points. There, “release” takes the form not of a schedule but of behavior thresholds. zkSync (clawback view): 17.5% community, unclaimed tokens clawed back and redistributed, with float management and incentive clawbacks written into the rules. Read through these three cases and the “four elements” turn from a concept into an operable analytical action.

Risk Notice

Warning

Note: crypto assets are extremely volatile and can result in the total loss of your principal. Airdrop campaigns carry no promise of returns; this site does not forecast prices and does not recommend buying.