Unlock Price Impact

Most of the move lands before the date. In Tokenomist's study of unlock events, the one month pre-event median is -14.7% (p < 0.001, n=164) and the two week pre-event median is -9.1%. Both are descriptive readings rather than controlled ones, so they record what happened around unlocks without separating the unlock from the market, and the study flags its findings as correlational rather than causal. Vesting calendars are public, that being the entire point of publishing one, so in an efficient market the price adjusts to known future supply in advance and the dreaded unlock-day dump is usually already in the price. The practical consequence for a holder is that the main risk window is the month before the unlock, not the unlock day.

That is also why the single headline number for unlock impact misleads. The raw one month median across 236 tracked events is -16.26% relative to Bitcoin, and 72.5% of events closed lower a month later, but most of that belongs to the broad market and to the kind of token that schedules large unlocks, not to the unlock itself. Measured against matched non-unlocking peers the effect splits in two: close to nothing for established tokens, at a median of -2.57% that is not statistically significant (p=0.42), and a real hit for newly listed ones, at a median of -16.02%. One of the study's own controls returned a null result too, at -1.07% with p=0.47. The variable carrying the effect is unlock size relative to a thin float, not whether the recipient is labelled an insider. Of the early-stage events that hold the entire controlled effect, most were large relative to market cap and most were non-insider allocations.

The window after the date is where divergence is most visible, and the sign is not fixed. With Bitcoin's influence removed, SAND fell roughly 9% in the five days before one unlock and roughly another 14% in the ten days after, a case where the release compounded the move rather than clearing it. ApeCoin ran the opposite pattern across its monthly cliff unlocks: price movement around the events was predominantly positive, with a size-weighted gain of about 16% in the 15 days before the cliff. Same mechanic, opposite sign, which is why impact has to be measured per token against a benchmark rather than inferred from the release size.

Positioning is the third thing that can invert the outcome. Anticipation of large TRUMP unlocks pushed traders into short positions and drove funding rates deeply negative, and when a demand catalyst arrived instead of the expected selling, the crowded short side was squeezed and price rose through a supply increase of more than 20%. The same token had already fallen more than 80% from its peak before any major unlock, repricing without the supply event at all. Both cases point the same way: unlock price impact is a measurement, taken against a benchmark and a peer set over a stated window, not a property you can read off the size of the release.