Helen is Marketing Team Lead at Motion Trade with 4+ years in Web3 and crypto marketing. Before joining Motion Trade, she built and led the marketing function at CLS Global and managed social media campaigns for a portfolio of crypto clients at Ninja Promo. She specializes in turning complex trading products into clear stories.
Price discovery after a token generation event follows a recognisable sequence rather than a random walk. The first two hours are dominated by the absence of a reference price and by traders who intend to hold nothing overnight. Hours two to twelve bring the first genuine distribution as claim transactions settle. The following day tests whether any natural bid exists once launch attention fades, and the second session usually sets the range the token will trade in for weeks. The single most useful thing a team can do is decide in advance which of these flows it will absorb and which it will let through.
Most launch post-mortems describe the first two days as chaotic. From the desk that is quoting the book, they are not especially chaotic; they are sequential, and the sequence repeats across launches with enough regularity that it can be planned against. What follows is that sequence, written as a timeline rather than a checklist, with the decisions that belong at each stage.
The specifics vary by distribution design and venue, and a launch that opens on a decentralised pool behaves differently from one that opens simultaneously on two centralised order books. The shape, though, holds.
Hour zero: opening without a reference price
At the instant trading opens there is no consensus price, only whatever anchors exist in participants' minds: the sale price, the last over-the-counter quote, the implied valuation from a pre-market, or nothing at all. Every order in the book at that moment is a guess, and the first prints are frequently unrepresentative.
Two design choices determine how violent this is. The first is whether the venue runs an opening auction or matching period, which aggregates initial interest and produces one clearing price rather than a race. The second is whether liquidity is present on both sides before the open. A book with quotes only on the bid, or only on the ask, does not discover a price; it produces a print and then a gap.
What a market maker is doing at hour zero is deliberately quoting wider than it will later. This is the correct behaviour, and a founder should expect it rather than escalate about it. Quoting tightly into an unknown price with unknown flow is how a desk exhausts its inventory in the first ten minutes and has nothing left for the hours that matter.
Hours zero to two: the flippers
The first cohort to trade is the one that never intended to hold. Launch participants who bought an allocation to sell it, arbitrage desks running the gap between venues, and bots watching for the pair to go live all act immediately, and they act in both directions. This produces the highest volume of the entire launch and the least information about where the token belongs.
Volatility here is expected. What is worth watching instead is the spread between venues: if the token trades three percent apart across two exchanges for more than a few minutes, either arbitrage capital has not connected or one book is too thin to matter. Both are fixable within the hour and both are worth noticing immediately.
The mistake made at this stage is treating the first hour's price as meaningful and reacting to it. Teams that begin buying their own token in hour one usually do so at the highest price it will see, using capital that would have been considerably more effective a day later.
Hours two to eight: the first real distribution
This is where the sequence gets interesting, because claim transactions have now settled and recipients who did not pay for their tokens can act. Airdrop and points allocations reach wallets in waves, and each wave produces a distinct pulse of selling, typically within minutes of the tokens becoming transferable.
Three properties of this flow matter for planning. It is one-directional, because these holders overwhelmingly sell rather than buy. It is size-clustered, because allocations were tiered and each tier produces a characteristic order size. And it is predictable in timing, because you designed the claim schedule.
That predictability is the most underused asset a launch has. A team that tells its desk exactly when each claim tranche unlocks, and how large it is, allows the book to be positioned before the flow rather than after it. A team that treats the claim schedule as a marketing detail forces the desk to discover it in real time, which it does by absorbing the first pulse at the wrong price.
Hours eight to twenty-four: the session handover
Crypto trades continuously, but the participants do not. Liquidity thins measurably as Asian hours give way to European ones and again into the American session, and the composition of the flow changes with it. The same sell order that clears at two percent impact during peak overlap can move the price twice as far in the quiet hours.
This is where continuous quoting stops being a formality. A desk operating during business hours with automated coverage overnight will produce a chart with a visible pattern of overnight gaps, and those gaps are legible to anyone assessing the token, including exchange listing teams. It is also the stage at which the first delisting-relevant metrics start accruing, since venue monitoring systems measure spread and depth continuously rather than during convenient windows.
By hour twenty-four the useful question is no longer where the price is but whether anyone is bidding who is not obliged to. Natural bid interest, meaning limit orders from participants who are neither the market maker nor the treasury, is the first genuine signal that the launch has produced demand rather than distribution.
Hours twenty-four to forty-eight: the range forms
The second session is usually when the token's medium-term range is established, and it is characterised by lower volume and much less forgiving conditions. Launch attention has moved on, the flippers have finished, and the remaining flow is a slower mixture of distribution from recipients who waited and accumulation from participants who wanted to see a day of trading first.
Two things commonly go wrong here. The first is a team spending its remaining capital defending a level that the market has already rejected, which converts a price problem into a treasury problem. The second is a desk quietly reducing depth once the launch is deemed complete, which is exactly when reduced depth is most visible.
What should happen instead is a deliberate reset. The launch-week parameters were sized for peak sell pressure; the parameters for the following month should be sized for observed flow. Our sizing method for that calculation is set out in how much liquidity a token needs at TGE.
What to measure while it happens
Price is the least useful metric during the first two days, because it reflects a distribution event rather than a valuation. Four other measures carry more information.
- Realised spread through the period, rather than at snapshots, since the average conceals the moments that mattered.
- Depth at one and two percent from mid on each venue, sampled continuously, showing whether the book was present when volume arrived.
- The proportion of volume that is not the market maker, which is the clearest available proxy for genuine interest.
- Cross-venue price dispersion, which reveals whether the venues are behaving as one market or three disconnected ones.
A team that cannot see these figures in real time is relying on a report written after the fact by the party being measured, which is a poor arrangement in any week and a particularly poor one during launch. We built a live dashboard for exactly this reason.
The decisions worth making before the open
Almost everything that goes wrong in the first forty-eight hours is a decision that was left until the moment it was needed. Three are worth settling in writing beforehand.
Decide what the treasury will and will not do. If there is a scenario in which the project buys its own token, define the trigger, the size and the venue in advance, and understand that doing so during hour one is almost always the most expensive version of that decision. The mechanics of moving treasury size without damaging the book are covered in our guide to treasury selling, and they apply symmetrically to buying.
Decide the widening policy. Every desk widens spreads under sufficient volatility. Agree the threshold, the maximum width and the notification requirement before launch, so that hour three is a conversation about a known parameter rather than about trust.
Decide who is awake. Name the person on your side who is authorised to make a decision at four in the morning, name their counterpart at the desk, and agree how they reach each other. Launches do not fail for want of a communication channel, but they are made considerably worse by one.
FAQ
What happens in the first hour after a token generation event?
The first hour is dominated by participants who intend to close their positions the same day, alongside arbitrage between venues. Volume peaks and the price carries very little information, because there is no established reference and most orders are guesses.
Why is the spread so wide immediately after a TGE?
Because the fair price is genuinely unknown and the flow is unpredictable. A desk that quotes tightly into that uncertainty exhausts inventory quickly and has nothing left when real distribution arrives, so deliberate widening at the open is correct behaviour rather than a failure of service.
When does airdrop selling actually hit the market?
Usually within minutes of tokens becoming transferable, arriving in pulses that match the claim schedule. Because the team designs that schedule, the timing is predictable and should be shared with the market maker in advance so the book can be positioned before each tranche rather than after it.
Should a project buy its own token during the first day?
Rarely, and never as an unplanned reaction. Day-one prices are usually the highest the token will see for some time, so treasury capital deployed then buys the least. If intervention is part of the plan, define the trigger, size and venue before launch.
How long does price discovery take after a TGE?
The violent phase generally resolves within the first eight to twelve hours, and a workable range typically forms during the second session. A durable range usually takes one to two weeks, and remains subject to unlock events after that.
What is the most important metric to watch during launch?
The share of volume that is not coming from the market maker. It is the clearest early indication of whether the launch produced genuine demand or simply distributed supply, and it matters more than the price itself.
Does launching on multiple exchanges at once help or hurt?
It helps if each book is genuinely supported and arbitrage capital connects them quickly. It hurts if the same liquidity budget is spread thinly across venues, because several shallow books produce visible price dispersion and a worse experience than one properly quoted market.
What does a healthy chart look like after 48 hours?
Narrowing spreads, depth that rebuilds after each large trade, declining cross-venue dispersion, and volume that increasingly comes from participants other than the desk. A flat line held at a specific level is not health; it is intervention, and it tends to end abruptly.
