A calendar says $40 million of tokens will unlock on Friday. It is tempting to read that as $40 million of selling scheduled for Friday.
Several steps are missing. The tokens must become transferable, the recipients must choose to sell, and the market must absorb those sales at the prices available then. Some positioning may have happened before the date was added to your calendar.
An unlock can increase potential supply available for sale, but it does not establish the amount sold or the direction of the price response. Assess the release size, recipient restrictions, market liquidity and what was already expected. Treat the event as a research question with a date attached.
Establish what the event actually releases
A vesting schedule describes when rights or restrictions change. A circulating-supply estimate describes a count under a definition. A treasury allocation describes an intended use. These can appear next to each other in a dashboard while referring to different stages of the process.
Start with the project's original documentation. Identify the allocation, recipient, amount, release rule and any conditions. Check whether the schedule is contractual, discretionary or an estimate. If governance can change it, record that dependency.
Optimism's capital-allocation documentation points readers to estimated token-release information. Its August 2026 budget update also distinguishes circulating tokens from committed allocations and explains that some circulation growth reflected earlier grants vesting or reaching milestones. That is a concrete example of why commitment, release and new spending should not be treated as the same event.
The shape of the schedule changes the question
A cliff concentrates a release at a boundary. A linear schedule spreads it over time. A stepped schedule creates repeated discrete releases. The same total allocation can therefore create different monitoring needs.
The same allocation can reach the market differently
Cumulative release of 12 million previously locked tokens across six months.
View the example data
| Observation | Linear | Stepped | Cliff |
|---|---|---|---|
| Start | 0 | 0 | 0 |
| M1 | 2 | 0 | 0 |
| M2 | 4 | 4 | 0 |
| M3 | 6 | 4 | 0 |
| M4 | 8 | 8 | 0 |
| M5 | 10 | 8 | 0 |
| M6 | 12 | 12 | 12 |
For a cliff, inspect the event definition and the moment transfer restrictions change. For a linear schedule, the daily or weekly rate may be more informative than a single large annual total. For a stepped schedule, record each installment and confirm that the tracker has not collapsed them into one date.
Do not infer exact intraday execution from a monthly chart. A source that supplies only a month cannot justify a countdown to a precise minute. Keep the source's level of precision visible.
Use a denominator that matches the question
Suppose a fictional token has one billion units in total supply, of which 200 million are currently circulating. A release of 10 million existing tokens is 1% of total supply and 5% of the circulating amount before the event.
Both calculations are mathematically correct. They describe different comparisons. For possible expansion of the available float, the circulating denominator is often the more relevant starting point, provided the released tokens were not already included.
Dollar value adds another assumption. At $2 per token, the release is marked at $20 million. That valuation does not mean recipients can collectively sell all 10 million tokens for $20 million. The price and the executable bids can change as orders arrive.
From an unlock date to actual selling
Four facts to establish before turning a calendar entry into a market thesis.
Use the circulating denominator
10 million unlocked against 200 million circulating is 5%. Against 1 billion total supply it looks like only 1%.
Check who can act
Employees, investors, a treasury and a grant recipient may face different restrictions and obligations.
Inspect executable depth
Daily turnover counts past trades. It is not a standing offer to absorb the entire unlock.
Separate expectation from release
A known event can affect positioning before the date. Price changes also reflect the broader market.
Volume is not a promise of liquidity
A market reporting $100 million of daily turnover has processed that amount of trading across the day. It does not necessarily have $100 million of bids waiting near the current price.
The same inventory can trade repeatedly. Activity can be concentrated in short bursts or in derivatives whose liquidity differs from the token's spot venues. Inspect spreads and available depth for the market that would actually receive the selling.
A ratio such as unlock value divided by daily volume can help compare rough scale, but it is not a price-impact model. It ignores order timing, venue fragmentation, liquidity replenishment and the fraction of recipients who sell.
The volume and momentum article works through the same distinction from a trader's perspective.
Identify the recipient without inventing an intention
An investor, employee, treasury and ecosystem grant recipient can have different obligations and restrictions. Those categories are useful context. They do not reveal an individual's plan.
On-chain movement helps trace what happened, but a transfer can represent custody, collateral or distribution. An exchange deposit may be relevant evidence; it still does not prove a completed sale. A lack of visible selling also does not rule out earlier hedging or off-chain arrangements.
Keep observations and interpretations in separate sentences. “The allocation became transferable on this date” is different from “the holder is likely to sell.” The first may be verifiable. The second requires assumptions you should state.
A price move after an unlock is not enough to establish causation
If the token falls while the broader market falls, assigning the whole move to the release is weak analysis. Compare a defined event window with a reasonable benchmark and inspect other announcements, market-wide moves and liquidity changes.
A serious historical study would need a consistent event definition, information available before each event, unsuccessful cases, benchmark choices and overlapping-event treatment. Selecting a few famous declines after looking at the charts cannot establish a general unlock effect.
There is another timing problem: widely known releases can influence positioning before the event. Measuring only from the release timestamp may miss that adjustment. Measuring a much longer window introduces more unrelated news. The research design has to acknowledge the tradeoff.
Build the event note in Supply Watch
Beneat Supply Watch provides token pages, source-linked supply information and an unlock calendar. Open the asset page, verify the source and observation date, then record the release alongside the existing circulating count and any uncertainty about the schedule.
A useful saved note contains: what unlocks, who receives it, the amount in token units, the proportion of the relevant supply, the source's date precision, and the market conditions you plan to review. Update the note when the underlying source changes.
For the broader supply question, read burns, buybacks and unlocks. The calendar tells you when to look. The evidence determines what you can reasonably conclude.