What Is Tokenomics and What to Check Before Buying a New Coin
Circulating vs total vs max supply, why the FDV to market cap ratio matters, converting emissions into a daily sell order, allocation red flags, and the utility test.
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Quick read
Tokenomics determines how much new supply a token will produce, who receives it, and when. This lesson explains the three supply figures, why the ratio between market cap and fully diluted valuation tells you how much demand growth is needed to stand still, and how to convert emissions into a daily sell order.
What to remember
- Market cap uses circulating supply. Fully diluted valuation uses total eventual supply. The ratio between them is the most informative single tokenomics number.
- An FDV ten times market cap means roughly ninety percent of supply has yet to arrive, so demand must grow substantially just to hold price flat.
- Emissions can be converted into a dollars-per-day figure and compared against genuine daily volume, which turns a vague concern into a measurable headwind.
- Allocation size matters far less than allocation divided by vesting duration. A small allocation vesting fast is worse than a large one vesting slowly.
- The utility test is whether anyone is forced to buy the token who does not want price exposure. If not, demand is purely reflexive.
Tokenomics is usually presented as a pie chart and a list of percentages, which is close to useless for deciding anything. The percentages tell you how a token was divided. They do not tell you what a buyer is actually taking on.
The useful version answers three questions with numbers. How much new supply arrives, and how fast. Who receives it and what will they do with it. And is there any reason to hold the token other than expecting its price to rise.
This article works through each, with the arithmetic that converts published tokenomics into a figure you can compare against a token's actual trading. It supports the coin-specific analysis in what actually moves crypto prices, where supply mechanics are one of the four driver categories.
1. The three supply numbers
Every token has at least three supply figures, and confusing them is the most common entry-level error.
| Measure | What it counts | What it is used for |
|---|---|---|
| Circulating supply | Tokens currently available to trade, excluding locked allocations | Market capitalization, and the denominator for near-term supply pressure |
| Total supply | Tokens that currently exist, including locked ones, minus any burned | Understanding how much is already created but not yet tradable |
| Max supply | The maximum that will ever exist, where the protocol defines one | Fully diluted valuation and long-run dilution |
CoinGecko's published methodology describes circulating supply as information "obtained from the various token teams and is verified by the CoinGecko team," and notes that for smart contract tokens they "deduct locked tokens from Total Supply," where locked tokens "may include Foundation's Fund, investors' locked tokens, team's locked tokens etc."
Market capitalization is then simply the current price multiplied by circulating supply.
What this actually tells you
Circulating supply is partly a reported figure, not purely an observed one. It depends on teams disclosing what is locked and on a data provider verifying it. That is a reasonable process and it is not the same as an on-chain measurement. Where a token's valuation depends heavily on the circulating figure, it is worth confirming the lock-ups independently rather than accepting the display value.
Market cap alone tells you almost nothing about future supply. It is a snapshot of what is tradable now. A token can have a modest market cap and an enormous quantity of supply queued behind it, and nothing in the market cap figure reveals that.
2. The ratio that matters most
Fully diluted valuation is price multiplied by the eventual full supply. Market cap is price multiplied by what circulates today. Divide one by the other and you get the number that should drive most of your judgement:
FDV divided by market cap equals eventual supply divided by circulating supply
This tells you how many times the current will eventually exist.
Working it through
Take a token with a $100 million market cap and a $1 billion fully diluted valuation. The ratio is 10, meaning roughly 90% of eventual supply has not yet reached the market.
Now ask what has to happen for the price to be unchanged at full dilution. The market currently supports $100 million of this token. At full dilution it must support $1 billion at the same price per token.
That requires the market to absorb $900 million of additional supply at prices no lower than today's.
What this arithmetic actually tells you
The ratio is a required-growth figure, not a valuation judgement. The useful question is not whether a $1 billion FDV is "too high" in the abstract. It is whether demand for this specific token can plausibly grow ninefold over the vesting period. Stated that way, the number becomes testable against the project's actual traction rather than a matter of opinion.
A low float is a temporary price support, not a virtue. A small circulating supply against large demand produces a high price with little capital, which is frequently presented as evidence of strength. It is equally evidence that the price has not yet been tested against most of the supply that will exist. The test comes later, at the unlock dates.
Compare ratios rather than absolute FDVs across tokens. A token trading at a ratio near 1 has most of its supply already priced. A token at a ratio of 10 is asking you to underwrite nine more units of supply for every one you can currently see. Those are very different propositions even at identical market caps.
And be careful when max supply is undefined. Where a protocol has no maximum, FDV is either undefined or calculated against some convention. For those tokens, the emission rate in the next section is the more meaningful measure.
3. Emissions as a recurring sell order
Inflation is usually quoted as an annual percentage, which is easy to dismiss. Converting it into a daily dollar figure makes it concrete and comparable.
Working it through
Suppose a token emits 1 million tokens per day and trades at $0.50. Daily new supply is therefore $500,000 at current prices.
Now compare that against genuine daily trading volume. Suppose real volume, excluding and internal transfers, is $5 million per day.
That means 10% of all daily volume must be net new buying just to absorb the new supply and keep the price unchanged.
What this actually tells you
Emissions are a sell order of known size arriving every day. Recipients of newly emitted tokens, whether miners covering electricity costs, validators covering operations, or farmers harvesting rewards, are structurally more likely to sell than to hold. Treating emissions as a standing daily sell order is closer to reality than treating them as an abstract dilution percentage.
The ratio to real volume is the headwind, not the percentage. A 5% annual inflation rate is trivial for a token with deep liquidity and severe for one with thin volume. The same percentage produces completely different pressure depending on the denominator, and the denominator is the part most analyses omit.
Use real volume, not reported volume. Reported figures can include wash trading and venue incentives. The comparison is only meaningful against volume representing genuine two-sided interest, which usually means looking at major venues and on-chain pools rather than an aggregate total.
And check who receives the emissions. Emissions to a locked staking contract behave differently from emissions to liquidity farmers who can sell immediately. The same nominal issuance can be nearly neutral or a persistent drain depending on the recipient's constraints.
4. Allocation, and why the percentage is the wrong number
Standard advice says to be wary of allocations above some threshold, frequently cited as twenty percent to the team. That rule is directionally sensible and it measures the wrong thing.
The comparison that matters
Consider two tokens:
| Structure | Team allocation | Vesting period | Supply released per year |
|---|---|---|---|
| Token A | 20% of supply | 5 years | 4% of supply per year |
| Token B | 10% of supply | 1 year | 10% of supply per year |
Token B has half the allocation and produces two and a half times the annual supply pressure. A checklist flagging Token A and clearing Token B has the ranking backwards.
What this actually tells you
The meaningful figure is allocation divided by vesting duration. That produces an annual release rate, which is directly comparable across projects and directly comparable against the emission arithmetic in the previous section. Percentage alone is not.
Cliffs concentrate the pressure into single dates. A cliff means nothing releases until a date, then a large tranche unlocks at once. Two tokens with identical annual averages behave very differently if one drips daily and the other delivers a year's worth in one day. Cliff dates are the events covered in vesting schedules and token unlocks.
Recipient type changes the behaviour more than size does. Early investors with a very low cost basis are profitable across almost any price range, which makes them more likely to sell into strength. Team allocations may be subject to reputational constraints. Ecosystem and foundation funds are typically spent rather than sold outright. Read the allocation table as a list of counterparties rather than as a pie chart.
And check whether the schedule is enforced on-chain. A vesting commitment described in a blog post is a promise. One enforced by a contract is a constraint. The difference is material and is verifiable.
5. The utility test
This is the hardest question and the one most whitepapers avoid answering directly.
Is anyone required to acquire this token who does not want exposure to its price?
That is the entire test. A network's gas token must be bought by anyone wanting to transact, whether or not they have a view on it. A token required as collateral must be held by anyone using the system. A token that only rises if people expect it to rise has demand that is entirely , and reflexive demand reverses without warning.
| Demand source | Is the buyer forced | Durability |
|---|---|---|
| Required for transaction fees | Yes, anyone transacting must acquire it | High. Persists as long as the network is used |
| Required as collateral or a stake for access | Yes, for participants in that system | High while the system retains users |
| Earns a share of protocol revenue | No, but the return is measurable | Moderate. Depends on revenue persisting |
| Governance rights | No. Most holders never vote | Low unless governance controls something valuable |
| Expected price appreciation | No | None. This is reflexive demand with no floor |
What this framework actually tells you
Governance alone is weak utility. Voting rights matter only in proportion to what governance actually controls. Where governance decides parameters affecting large amounts of capital, the right has value. Where it decides branding and grants, it does not, regardless of how prominently it is featured.
Revenue share is genuine but needs checking against the revenue. A token entitled to a share of fees can be assessed against those fees. The question is whether the revenue exists at scale and whether the claim is enforceable rather than discretionary.
Reflexive demand is not fake, it is just fragile. Tokens with no utility beyond appreciation can and do rise substantially. The point is that nothing arrests the fall, which is the same conclusion reached about attention-backed demand in what actually moves crypto prices and demonstrated in what the memecoin launch data shows.
6. Red flags
None of these is disqualifying on its own. Several together describe a structure built to transfer value from later buyers to earlier ones.
| Signal | Why it matters | What to check instead of the headline |
|---|---|---|
| High FDV relative to market cap | Most supply has not been priced yet, so demand must grow substantially to hold price flat | The required growth multiple over the vesting period |
| Short vesting on insider allocations | Concentrates supply pressure into a narrow window regardless of allocation size | Allocation divided by vesting duration, plus the cliff dates |
| Vesting described but not enforced on-chain | A promise rather than a constraint, and revocable | Whether a contract actually holds the tokens |
| Emissions large relative to real daily volume | A standing daily sell order the market must absorb continuously | Daily emission value divided by genuine daily volume |
| Utility limited to governance | Nobody is required to buy, so demand is reflexive | Whether governance controls anything of measurable value |
| Circulating supply that cannot be independently verified | Market cap and every ratio derived from it become unreliable | On-chain lock-up contracts rather than the reported figure |
| Concentrated holdings in a few wallets | A small number of parties can exit most of the float | Holder distribution, netting out known exchange and contract addresses |
7. A checklist before buying
Steps
Compute the FDV to market cap ratio
This tells you how many times the current float will eventually exist, and therefore how much demand growth is needed for the price merely to hold. A ratio near one means supply is largely priced. A high ratio means you are underwriting supply that has not been tested.
Convert emissions to dollars per day and divide by real volume
This turns an annual inflation percentage into a measurable daily headwind. Use genuine two-sided volume rather than reported aggregates, and check whether recipients are able to sell immediately.
Divide every allocation by its vesting duration
Annual release rate is the comparable figure, not allocation percentage. Then note the cliff dates separately, because those concentrate a year's pressure into a single day.
Verify the locks on-chain
Confirm that vesting is enforced by a contract holding the tokens rather than described in documentation. A promise and a constraint look identical in a pie chart and behave very differently under pressure.
Apply the utility test in one sentence
Name who is required to acquire this token without wanting exposure to its price. If you cannot name anyone, the demand is reflexive, and the position should be sized as a bet on sentiment rather than on the project.
8. Conclusion
Tokenomics matters because it determines the supply a buyer's capital will eventually have to absorb, and almost all of it is published in advance. That makes it one of the few genuinely analyzable parts of a crypto position, and it is routinely reduced to a pie chart that conveys none of the relevant information.
Three calculations carry most of the value. The ratio of fully diluted valuation to market cap converts a vague concern about dilution into a required-growth multiple you can weigh against a project's actual traction. Emissions expressed as dollars per day against genuine daily volume convert an annual inflation percentage into a measurable, continuous headwind. And allocation divided by vesting duration replaces a misleading percentage with an annual release rate that is comparable across projects, and which frequently reverses the ranking a naive checklist produces.
The remaining question is the one no arithmetic answers. If nobody is required to acquire the token except people who expect its price to rise, then its demand is reflexive and has no floor beneath it. That does not mean such tokens cannot appreciate, because they demonstrably do. It means the position is a bet on continued belief rather than on continued use, and it should be sized on that basis.
Good tokenomics does not make a project succeed. Bad tokenomics can make a successful project a poor thing to hold, by guaranteeing that supply arrives faster than the demand the project generates. Evaluating the two separately, and then asking whether the token structure lets you benefit from the project's success, is the discipline this framework is for.
Frequently asked questions
Tokenomics is the design of a token's supply and distribution: how many exist, how many will exist, who holds them, when locked allocations become tradable, how new tokens are issued, and what the token is required for. It determines how much supply a buyer's capital will eventually have to absorb.
Circulating supply is what is currently tradable, excluding locked allocations, and is what market cap uses. Total supply is everything that currently exists including locked tokens, minus burns. Max supply is the maximum that will ever exist where a protocol defines one, and it is what fully diluted valuation uses.
FDV is the current price multiplied by eventual full supply. It matters through its ratio to market cap, which equals eventual supply divided by circulating supply. A ratio of ten means about ninety percent of supply has yet to arrive, so demand must grow substantially for the price merely to hold.
No, but it sets a requirement. The useful question is not whether the number is large but whether demand can plausibly grow by the implied multiple over the vesting period. Framed that way it becomes testable against a project's actual traction rather than a matter of opinion.
Convert it to a dollar figure per day by multiplying daily emissions by the current price, then divide by genuine daily trading volume. That ratio is the share of daily volume that must be net new buying just to hold the price flat, and it is comparable across tokens in a way that a percentage is not.
The percentage alone is the wrong measure. A twenty percent allocation vesting over five years releases four percent a year, while a ten percent allocation vesting over one year releases ten percent. Divide allocation by vesting duration to get the annual release rate, and note cliff dates separately.
A cliff is a date before which no tokens release, after which a tranche unlocks at once. It concentrates supply pressure into a single day rather than spreading it, so two tokens with the same average annual release can behave very differently depending on whether they drip or deliver in lumps.
Ask whether anyone is required to acquire it who does not want exposure to its price. Gas tokens and required collateral force purchases from people with no view on the asset. Governance rights and expected appreciation do not, which makes that demand reflexive and leaves no floor beneath the price.
Treat it as a verified report rather than an on-chain measurement. CoinGecko's methodology describes obtaining the figure from token teams and verifying it, deducting locked tokens including foundation, investor, and team allocations. Where a valuation depends heavily on it, confirm the lock-up contracts independently.
No. A well-designed token with no users is still worthless. The relationship runs the other way: bad tokenomics can make a genuinely useful project a poor holding, by guaranteeing supply arrives faster than the demand the project creates. Assess the project and the token structure separately.
Sources and further reading
Reference sources:
Related CoinBeaver articles:
- What actually moves crypto prices
- Vesting schedules and token unlocks
- Memecoin odds: what the launch data shows
- Token standards and risks
- Crypto rug pulls explained
- How the Bitcoin halving affects price
- What moves Solana's price
This article is educational and is not financial advice. All supply figures, prices, volumes, and allocation percentages used in the worked examples are illustrative values chosen to demonstrate the arithmetic, not data about any specific token. Verify a project's actual supply schedule, allocation table, and on-chain vesting contracts directly before committing capital.
Keep learning
Recommended next reads based on this lesson.
- Vesting Schedules and Token Unlocks: The Supply Event Traders WatchCliff vs linear vesting, why the unlock date is usually uneventful, how to size an unlock in days of volume, and the three questions that predict its price impact.
- How the Bitcoin Halving Affects Price and What the Cycles Actually ShowThe halving in consensus code, all four halvings verified on-chain, why each supply shock is smaller than the last, the stock-to-flow argument, and the priced-in paradox.
- DOGE and the Speculative Playbook: How Dogecoin Pumps Are StructuredDogecoin's fixed issuance in code, why unlimited supply is still disinflationary, how a DOGE pump works, why celebrity catalysts decay, and how it differs from a memecoin launch.
- What Actually Moves Crypto Prices: A Trader's FrameworkThe four categories of crypto price drivers, why leverage sets the size of a move, why crypto assets correlate so tightly, and how to apply the framework to one coin.