Chapter 19 · What Is a Token Actually Worth?
Is a $0.001 token cheaper than a $100 token?
- Capabilities practiced
- Financial LiteracyResearch
- Hands on
- Pick a token, chart its unlocks over the next 24 months, and calculate each month's new supply as a share of average daily volume.
- AI Lab
- Give AI a tokenomics document, have it extract supply, unlocks, issuance, utility, and value capture, then verify each item against the original.
A Real-World Problem
Two tokens appear side by side.
One costs $0.001; the other $100.
Most beginners think the first is cheaper, often adding: if it reaches $1, that is a thousandfold return.
Examine that thought.
You would not value a company simply because its shares cost 3 rather than 300. First ask how many shares exist. Equity supply has a history; splits and issuance involve procedures.
Tokens take this further: issuers choose the number of units entirely themselves. It can be 21 million or a quadrillion. No physical constraint fixes it; it may simply be a number in a document.
Unit price alone therefore contains almost no information.
What should you examine instead?
Thought Experiment
A bakery consistently earns one million a year and wants to sell ownership shares.
Two teams propose different divisions.
Team A: one million shares at one each. Team B: ten billion shares at 0.0001 each.
Identical bakeries and profits. B's unit price is ten-thousandth of A's, but buying either whole bakery costs one million.
First layer: price × number of shares = total value. Ignoring supply reads only half the equation.
The second layer is harder.
B has ten billion shares, but only one billion currently trade. The remaining nine billion belong to the team, early investors, and foundation, unlocking monthly over 24 months.
The same bakery now has two valuations:
- Tradable shares at today's price: 100,000.
- All ten billion shares at that price: one million.
Both are correct for different questions: today's circulating market valuation versus value if all shares traded at today's price.
The third layer is least often calculated.
Nine billion locked shares form a time curve. Spread over 24 months, 375 million unlock monthly, worth 37,500 at today's 0.0001 price.
Daily trading value is 5,000.
Compare:
Monthly new supply value 37,500
Average daily volume 5,000
───────────────────────────────
Absorbing one month's new supply requires 7.5 days of total trading volumeThis says nothing about bakery quality. It states an arithmetic fact: every month for two years, the market must absorb new supply worth seven and a half days of volume.
That obligation exists independently of profitable bread sales.
Your Decision
A token launched three months ago trades at $0.02. You investigate its valuation.
What Happens
The options reveal one principle:
Price is a ratio, not a quantity. Supply is its denominator, and that denominator changes.
Each view supplies more information:
| View | Answers | Omits |
|---|---|---|
| Unit price | Price per unit | Supply, and therefore almost everything |
| Circulating value | Current market valuation | Tomorrow's supply |
| All units at current price | Valuation upper bound | Arrival timing and future price changes |
| Monthly supply versus market capacity | Supply schedule and pressure scale | Whether demand grows too |
The fourth row is the focus and least-used step.
Remember: fully diluted valuation is not a forecast or target price. Compare its denominator with circulating supply. A larger multiple means more supply remains outside markets and timing matters more.
Unlocking is not the only source. Protocols continually issue rewards for miners, validators, or LPs. These may appear only in parameters or governance proposals, not allocation charts. Reading only the pie chart can miss much of the supply.
Build a Model
Research tokens through five layers:
| Layer | Question | Calculation | Meaning |
|---|---|---|---|
| 1 | Unit price? | Market quote | Almost nothing alone |
| 2 | Circulating value? | Price × circulating units | Current valuation |
| 3 | Total-supply value? | Price × total units | Upper bound; compare with layer 2 |
| 4 | New supply each month? | Unlocks + ongoing issuance | Supply timetable |
| 5 | Market absorption capacity? | Monthly new-supply value ÷ average daily volume | Pressure measured in days |
Layer 5:
Monthly absorption days = monthly new units × current price ÷
30-day average daily trading valueThis measures scale, not a trading signal. Half a day and 30 days describe radically different circumstances worth distinguishing.
Supply reaches markets through this chain:
- Locked allocation
- Scheduled unlock
- Arrival at an address
- Transfer to a trading venue
- Absorption or downward price pressure
Why can nothing happen on unlock day? Unlocking permits transfer; it does not force selling. Markets can also price known schedules before the event.
The lesson goes beyond watching a date:
Supply has a public schedule; demand does not.
Calculate the observable side precisely before speculating about the other.
What It Is Called
The execution price of one token.
A ratio rather than a quantity. Judging cheapness from price alone is a common error.
Tokens currently available for free transfer and trading.
Availability differs from actual trading. Sources disagree on unlocked foundation holdings and staked units. Always identify the source.
Price × circulating supply, representing the current market valuation.
It is the most commonly comparable measure for projects in one sector.
Price × total supply, assuming every unit exists today at that price.
That assumption rarely holds. FDV ÷ market cap is the useful ratio, showing the scale of supply not yet circulating.
Scheduled conversion of locked tokens into transferable units.
Vesting is the full arrangement. A cliff releases nothing until a date, then a batch. Linear unlocking releases steadily. A cliff can create a monthly release many times larger than linear vesting.
New tokens continuously produced under protocol rules for miners, validators, LPs, or users.
Unlocks release existing allocations; emissions create units. Both expand supply, while many allocation charts show only the former.
Hands-on
Choose a familiar but unresearched token. Produce two charts and a number.
Record price, circulating supply, and total supply.
Include observation time and source page for each. Sources often differ by over 10%; choose one and use it consistently.
Find the unlock schedule. Start with official Tokenomics, then blogs or governance, then third-party schedule services.
Record recipient group, amount, start date, cliff or linear method, and duration for teams, investors, foundations, ecosystem incentives, and communities.
Mark undisclosed details as such, rather than substituting third-party estimates. Calculate the share whose timetable is unknown.
Add emissions, the commonly omitted part.
Find per-block or daily staking, mining, and node rewards; convert to monthly issuance. For governance-controlled rates, cite the latest proposal and effective date.
Build 24 rows.
| Month | Unlocks | Emissions | Total new supply | End-of-month circulation |
|---|---|---|---|---|
| 1 | ||||
| … | ||||
| 24 |
Plot the last column. Is it smooth or does it contain steps?
Calculate absorption days using the past 30 days' average daily trading value:
Monthly absorption days = monthly new supply × current price ÷ average daily volumePlot bars and identify the three highest months, the schedule's most informative points.
Write three conclusions: FDV-to-market-cap multiple, highest-pressure months, and the supply share with unknown timing.
This Lab does not produce trading advice. A supply schedule is not a forecast; equally important demand changes lie outside it.
The unknown-timing share can be more informative than the first two figures.
AI Lab
Provide a real official document, whitepaper, or governance post and request:
Using only this Tokenomics text, produce:
1. Maximum, total, and circulating supply, citing original paragraphs.
2. Allocations by holder group, checking that they total 100%.
3. Cliffs, linear durations, and starting dates in a 24-month table.
4. Ongoing emissions, rates, and control authority.
5. Token uses and the relationship to protocol revenue.
Rules:
- Write "not disclosed in the source" for missing information.
- Do not fill gaps from common practice or other projects.
- Attach the original sentence to every number.
- List additional information needed to complete the table.Then search the original for every number.
Expect at least one recurring failure:
- Confusing total and maximum supply, whose difference can represent future issuance.
- Omitting emissions, which appear outside the static chart.
- Inventing missing details, such as conventional one-year cliffs and three-year linear schedules.
The last sounds most convincing. Record every invented completion in your error checklist.
Verify these points yourself after using AI
- Can every number be found on the cited source page?
- Does it distinguish total, maximum, and circulating supply?
- Did it omit emissions by copying only the allocation chart?
- Does it distinguish cliffs from linear releases and calculate monthly amounts correctly?
- Do allocations total 100%, and is any difference explained?
- Does a four-year team lock begin at launch or fundraising?
- Does missing information remain undisclosed rather than being filled with plausible figures?
Real-World Case
Many launches release a small fraction while the remainder unlocks over years.
Circulating capitalization can look modest while FDV exceeds mature, revenue-generating sector peers.
Media choose whichever number supports their story. Calculate both and their multiple yourself.
A one-year cliff followed by linear vesting can release more in one month than the prior eleven combined.
Public schedules are priced ahead, so prices may move weeks earlier while unlock day stays calm.
Transferability changes at unlocking; selling is a separate action.
Some projects split one token into a thousand, or consolidate the reverse way.
Balances multiply while prices divide; ownership fractions and project value remain unchanged.
Unit price can be rewritten without changing underlying value.
A neat official allocation chart totals 100%.
Meanwhile, per-block LP rewards continue issuing tokens, with annual rates hidden in parameters and older governance proposals.
Chart-only models systematically understate issuance. Chapter 17's yield payer is often this dilution shared by all holders.
Change One Variable
The schedule disappears and layers 4 and 5 are empty.
That does not imply greater value. Demand and revenue capture take center stage in Chapter 20.
Already unlocked but unsold holdings can still reach the market anytime. Selling pressure remains without a timetable.
Absorption days fall to one tenth.
Denominator matters as much as numerator, though unlock discussions often ignore it.
The reverse happens too: shrinking activity turns today's one day into ten while the schedule stays fixed.
Monthly supply is smaller and lacks cliffs.
But pressure lasts longer, potentially spanning a complete Chapter 21 market cycle.
Longer vesting also changes team incentives: they remain tied to holders and unable to exit longer. It is incentive design as well as supply management.
The chapter's calculations cannot be completed.
State supply risk is unknown because the schedule is undisclosed, rather than labeling it high or low without evidence.
Chapter 24 classifies this as Token Risk. Honest missing-information statements can be the most valuable research findings.
Takeaway Questions
This chapter addresses amounts and timing. Only afterward ask why the Token needs to exist and whether the protocol functions without it. Chapters 20 and 30 pursue that question.
Supply is the denominator; revenue and its connection to holders form the numerator.
Without that numerator, token prices depend entirely on supply, demand, and sentiment. Recognize that dependency without assuming it necessarily means zero value.
Unlocks schedule a wealth transfer: early holders receive allocations at early costs; secondary buyers purchase at market prices.
This is not a moral judgment. Early risk can merit reward, but buyers should know the public timetable.
Emissions often fund incentives through dilution of all holders.
A concrete test: remove emissions and inspect remaining yield and users. Chapters 17 and 28 expand it.
Chapter Check
Issuers choose supply.
At that price, a hundred million units value the whole at $100,000; a hundred trillion value it at $100 billion. A ratio without its denominator is uninformative.
At minimum calculate price × units and identify which supply definition you use.
Calculate both; they answer different questions.
Market cap describes current valuation; FDV assumes all units exist today.
Their multiple is most useful. Near 1 means supply is largely released; a large multiple makes timing central.
Citing one without identifying it is a common source of misleading comparisons.
Monthly new units × current price ÷ 30-day average daily trading value gives absorption days.
Days create a common unit across differently sized and priced tokens.
It is a scale measure rather than a signal. Volume changes rapidly, so timestamp the calculation.
Charts show existing allocated units; emissions produce new ones continuously.
Emission parameters may live in contracts, separate documentation, or governance proposals. Staking, liquidity mining, and node rewards are examples.
Model both unlocks and emissions to avoid systematically underestimating supply.
Check:
- Are sources and timestamps attached to every figure?
- Are market cap, FDV, and their multiple all provided?
- Are emissions included alongside unlocks?
- Is the unknown-schedule share disclosed honestly?
- Does any trading recommendation appear? Remove it; the output is a timetable.
Item 4 separates serious analysis. Missing information is often the most necessary thing to report.
Key idea
Price alone says nothing; it only matters when you include supply.