- \n
- Launch valuation and float set the ceiling. Tokens that opened with a modest FDV and a genuinely tradeable float had room to grow into their price instead of falling back to it.<\/li>\n
- Unlock size relative to real order book depth predicted drawdowns better than unlock size in dollars, and Keyrock found 90% of unlocks push prices down regardless of recipient.<\/li>\n
- Demand has to be structural. Distribution that rewards behaviour and a token that captures protocol revenue held price far better than listing announcements ever did.<\/li>\n<\/ul>\n<\/div>\n
The Six Hours Everyone Optimises For, and the Six Months Nobody Plans<\/h2>\n
Launch planning in crypto has been optimised almost entirely for a single day. Exchange coordination, market maker onboarding, KOL scheduling, the announcement cadence. All of it points at TGE.<\/p>\n
The price data points somewhere else. Typical drawdowns for 2025 launches ran between 50% and 70% within 90 days of listing, and 83% of tokens listed on top centralised exchanges that year fell below their listing price. The pressure that kills a token almost always arrives after the launch team has moved on to the next milestone.<\/p>\n
<\/p>\n
\n\n
\n \n 84.7%<\/p>\n
of 2025 token launches traded below their TGE price, per DWF Labs<\/p>\n<\/td>\n
\n 70%<\/p>\n
of an average token’s lifetime is spent below launch price, across 542 tokens studied by Delphi Digital<\/p>\n<\/td>\n
\n 90%<\/p>\n
of token unlocks create negative price pressure, from Keyrock’s study of 16,000+ unlock events<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
Read those three figures together and the pattern is clear. The market is not rejecting new tokens on day one. It is grinding them down over the following two quarters, as supply arrives faster than demand.<\/p>\n
What the Winners Did Differently<\/h2>\n
Across our 100 launches, the cohort that was still trading at or above listing price at day 180 was small. What made it worth studying is how consistent that group was. The same five decisions showed up again and again, and none of them were marketing decisions.<\/p>\n
1. They priced the launch below what they could have got<\/h4>\n
Every project that held price left money on the table at TGE. Not by accident. Their teams chose a valuation the market could grow into rather than the highest number a private round would support.<\/p>\n
The alternative is well documented. Binance Research tracked 2024 launches and found a median market cap to FDV ratio of 12.3%, which means buyers were entering structures where 87.7% of supply was still locked. Thin float creates an artificial price. Every unlock after that is a correction toward the real one.<\/p>\n
2. They sized float against liquidity, not against a target headline<\/h4>\n
The tokens that survived opened with enough circulating supply that the order book could absorb normal selling. That sounds obvious. In practice it means resisting the temptation to launch 3% of supply and celebrate a billion-dollar FDV that exists on paper only.<\/p>\n
A useful test: if a single day of scheduled unlocks exceeds the dollar volume your book can absorb without moving price more than a few percent, your schedule is not a schedule. It is a countdown.<\/p>\n
3. They made the market maker agreement boring<\/h4>\n
Two structures dominate market making term sheets. A retainer, where you pay a monthly fee for liquidity provision. And a loan plus call option, where you lend tokens to the market maker who holds the right to buy them at a fixed strike.<\/p>\n
The loan plus call model looks free. It is not. When the strike sits well below where your token later trades, the market maker’s most profitable move is to exercise and sell. The Movement Labs MOVE situation in 2025 put this in public view when agreements, strike prices and chat logs surfaced, showing how a liquidity arrangement can become a channel for post-listing selling.<\/p>\n
4. They paid for behaviour, not for wallet count<\/h4>\n
Distribution design showed up in the price chart within two weeks. On-chain analysis of more than two million airdrop addresses found 64% of recipients sold at TGE. For the 1inch airdrop, 66.09% of recipients moved tokens to an exchange within 24 hours. Over 75% of Uniswap airdrop recipients sold within seven days.<\/p>\n
Projects that ran points programmes with multi-action eligibility saw far better outcomes. Audited protocols showed day-90 retention averaging 4% for simple snapshot airdrops, against 28% for points-based programmes requiring sustained activity.<\/p>\n
5. They had demand that did not depend on the next listing<\/h4>\n
Listings are distribution, not demand. The tokens that held price had a reason to be bought after the listing thread stopped trending, usually fee capture, staking with real yield backed by revenue, or a buyback funded by actual income rather than treasury.<\/p>\n
![\"Diagram](\"https:\/\/www.blockchainappfactory.com\/blog\/wp-content\/uploads\/2026\/09\/Float-Vs-Unlock-Overhang.jpg\")
<\/p>\n<\/p>\n
Held Price Versus Faded: The Structural Differences<\/h2>\n
Grouping the cohort by outcome makes the contrast easier to see. These are the variables that separated the two groups most cleanly.<\/p>\n
<\/p>\n
\n\n
\n Variable<\/td>\n Tokens that held price<\/td>\n Tokens that faded<\/td>\n<\/tr>\n \n Initial float<\/td>\n Large enough for the book to absorb sellers<\/td>\n Minimal float engineered for a scarcity pop<\/td>\n<\/tr>\n \n Launch FDV<\/td>\n Set below what the round could justify<\/td>\n Anchored to the last private valuation<\/td>\n<\/tr>\n \n Unlock shape<\/td>\n Long cliff, then smooth linear release<\/td>\n Large cliffs clustered in months 6 to 12<\/td>\n<\/tr>\n \n Market maker deal<\/td>\n Retainer with depth and uptime obligations<\/td>\n Token loan with an undisclosed call strike<\/td>\n<\/tr>\n \n Distribution<\/td>\n Points and multi-action eligibility, staged claims<\/td>\n One-shot snapshot airdrop, instant claim<\/td>\n<\/tr>\n \n Post-launch demand<\/td>\n Fee capture or revenue-funded buybacks<\/td>\n A pipeline of further exchange listings<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n Unlock Design Is Product Design<\/h2>\n
Keyrock’s analysis of more than 16,000 unlock events is the most useful dataset published on this. It tracked daily price for 30 days either side of each unlock, and the findings should reshape how founders build vesting schedules.<\/p>\n
Cliffs concentrate risk into a single date<\/h4>\n
When an entire batch becomes transferable at once, the market has one day to price a supply shock. Linear releases spread the same supply across months and, in Keyrock’s data, had a more positive market impact than cliffs.<\/p>\n
The damage starts before the unlock<\/h4>\n
Price impact typically begins ahead of the unlock date as traders front-run a publicly visible calendar. Treating your unlock day as the risk window is a mistake. The window opens two to four weeks earlier.<\/p>\n
Five percent is the line that matters<\/h4>\n
Unlocks exceeding 5% of circulating supply correlate with median price drops of 8% to 15% across the surrounding 30-day window. If any single event on your schedule crosses that threshold, split it.<\/p>\n
The compounding is the real problem<\/h4>\n
Delphi found the typical token underperformed Bitcoin by about 7% per unlock. By the tenth unlock, that underperformance had compounded to roughly 47%. No amount of marketing outruns a schedule that dilutes faster than demand grows.<\/p>\n
<\/p>\n
\n\n
\n \n A vesting schedule is a promise to sell. The market reads it that way, and it starts pricing it in long before the tokens move.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/p>\n
\n\n
\n \n Is your vesting schedule built to survive month six?<\/p>\n
We stress-test unlock schedules against real order book depth before you commit to them publicly.<\/p>\n
\n\n
\n T minus 90<\/span><\/td>\n \n Model the schedule, then break it<\/p>\n
Stress-test every unlock against conservative liquidity assumptions. Split anything above 5% of circulating supply. Fix the float and FDV before anyone sees a deck.<\/p>\n<\/td>\n<\/tr>\n
\n T minus 60<\/span><\/td>\n \n Negotiate liquidity on your terms<\/p>\n
Compare retainer and loan structures side by side at three future price levels. Lock depth, spread and uptime obligations into the contract.<\/p>\n<\/td>\n<\/tr>\n
\n T minus 30<\/span><\/td>\n \n Close the distribution list<\/p>\n
Run sybil filtering, finalise points weighting, and publish eligibility rules early enough that the community can challenge them.<\/p>\n<\/td>\n<\/tr>\n
\n TGE week<\/span><\/td>\n \n Publish the full calendar<\/p>\n
Ship a public unlock dashboard on day one. Traders will find the schedule regardless. Controlling how it is presented is worth more than delaying it.<\/p>\n<\/td>\n<\/tr>\n
\n T plus 90<\/span><\/td>\n \n Report like a public company<\/p>\n
Quarterly revenue, buyback execution, treasury movements and holder cohort data. This is the material that keeps informed buyers in the book.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
Where This Leaves Founders Going Into the Next Cycle<\/h2>\n
The market has already adjusted. Crypto venture investment has fallen to around 12% of its 2022 level, community sales and fair launch formats are being used again, and buyers now check unlock calendars before they check the pitch deck. On the retail end, the picture is even more brutal: of 18.67 million tokens launched on Pump.fun between January 2024 and June 2026, only 4.55% were still actively traded past day 90, and 68.67% recorded their last trade on launch day.<\/p>\n
None of that means launching is a bad idea. It means the bar moved. Structure is now the product, and the projects that treat tokenomics as a financial engineering problem rather than a marketing asset are the ones still trading above listing at month six.<\/p>\n
That is the work Blockchain App Factory does with founding teams. End-to-end token launch services<\/a> covering tokenomics modelling and unlock stress-testing, smart contract development and audit coordination, exchange and market maker negotiation, distribution and airdrop architecture with sybil filtering, and the post-launch reporting cadence that keeps serious holders in the book. The teams we work with usually come to us with a valuation target and a listing date. They leave with a supply curve that their demand curve can actually support, which is a less exciting conversation and a considerably better outcome.<\/p>\n
<\/p>\n
\n\n
\n \n What do the launches that hold price actually have in common?<\/p>\n
Bring us your token model and we will show you where it breaks before the market does.<\/p>\n
![\"Left](\"https:\/\/www.blockchainappfactory.com\/blog\/wp-content\/uploads\/2026\/09\/Where-Airdropped-Tokens-Go.jpg\")
<\/p>\n