Token generation events are often treated as the finish line for crypto teams. The PANews analysis says the real stress usually begins after listing, especially in the first week of trading, when many projects run into a liquidity crunch and a fast price slide.
The article describes a familiar pattern: a project raises tens of millions of dollars, builds a strong technical narrative, attracts community attention, and lands listings on several top-tier centralized exchanges. Yet within 48 hours of launch, the token enters a prolonged decline. Within two weeks, falling below private-round cost or even the public-sale price becomes common. Founders then face accusations of dumping, even when they insist the team has not sold and market makers keep delivering reports that show large daily volume.
PANews argues that these breaks are not explained by weak market sentiment alone. The core problem is a systemic failure driven by three forces working together: a mismatch in the initial asset structure, conflicts embedded in standard market-making contracts, and shallow order-book depth that cannot absorb real selling pressure.
Low float and high FDV create a fragile launch structure
The analysis starts with the token design that has become common over the last two cycles: low circulating supply paired with a high fully diluted valuation, or FDV. This structure was originally framed as a way to protect earlier capital. Venture investors entered many projects at multibillion-dollar valuations, and issuers then felt pushed to anchor TGE valuation at a high level to avoid a paper markdown once the token reached the public market.
With limited buying power available in spot trading, the article says the main lever left to teams is to compress the initial float. That usually means releasing only 5% to 10% of total supply at TGE and stretching the remaining 90% or more over three to five years through linear unlock schedules. On the surface, the design looks useful because it creates scarcity and reduces the amount of supply that can hit the market on day one. In practice, PANews says it often amplifies risk.
Immediate sell pressure is concentrated in the portion that does circulate
In that initial 5% to 10%, aside from inventory lent to market makers, most of the circulating supply goes to airdrop recipients and liquidity mining participants. Without strong token utility or a clear value-capture mechanism, the article says these holders behave like non-price-sensitive sellers. Whether the opening price is $1 or $5, their acquisition cost is close to zero, so the rational move is often to sell immediately with market orders.
When hundreds or even thousands of accounts act in roughly the same way, the order book faces intense pressure almost at once. The problem is not only the size of the sell flow, but how quickly it hits.
High valuation keeps natural buyers away
The piece also says retail traders in the secondary market have become highly defensive toward the idea of serving as exit liquidity for venture funds. If a project has not launched its mainnet and still shows limited daily active users, but comes to market with a $5 billion FDV, there are few natural buyers willing to pay up and hold.
That leaves the bid side structurally thin. At that point, price action is no longer driven mainly by fundamentals. It turns into a fight over the remaining liquidity already inside the market.
Future unlock pressure can reach the market early
Low circulation does not mean sell pressure is capped at the portion already unlocked. PANews says early investors and advisers with lockups lasting 12 to 36 months may still move to protect gains if the opening price looks rich. They can do that through discounted OTC transfers of locked allocations, or by borrowing spot tokens through lending markets on centralized exchanges and opening matching short positions in derivatives to run a delta-neutral hedge.
That means the tokens stay frozen onchain, but their economic sell pressure can still reach the market early through derivatives and hedging activity. The result is a cap on upside even before formal unlocks begin.
Why the standard token-loan model can work against the project
When a weak bid meets concentrated selling, projects often look to market makers as the final line of defense. The common belief is simple: give a well-known firm enough inventory and it will build a strong moat around the book, stabilize the tape, and keep spreads tight. The PANews piece takes a different view. It says the standard structure used in crypto creates a basic conflict between the market maker's need to protect its own balance sheet and the project's need to preserve token value.
The usual "token loan plus call option" structure
The article says the most common commercial template includes three parts.
- A token loan: the project lends 1% to 3% of initial circulating supply, and sometimes more, to the market maker at zero interest for a term of 6 to 12 months.
- Call options: as the main compensation for the service, the project grants one or more tranches of call options with strike prices set at premiums to the opening price, such as 30%, 50%, or 100% above launch level.
- Capital from the market maker: the firm is expected to place its own stablecoins, usually USDT or USDC, on the bid side while maintaining two-way quotes on centralized exchanges.
In a straight bull market, the setup can look efficient. If the token rises, the call options move in the money and the market maker can exercise, buy at a lower effective price, and sell into the market. That creates upside for both sides.
PANews says the logic changes in a choppy or declining market. Once the options move deep out of the money, their value approaches zero while the risk of holding spot inventory rises. At that point, the market maker's rational move is not to spend more capital defending the price. It is to reduce risk, convert inventory into stablecoins, and keep exposure close to delta neutral.
Reported volume can hide weak real support
The analysis says many projects receive monthly reports showing daily volume in the millions of dollars and bid-ask spreads kept within a contractual range such as ±2%. That can create the impression that the market maker is doing its job. PANews argues that the appearance is often misleading.
A lot of that depth, the article says, comes from static grid quoting. Once a large market sell order arrives, the quoting system may pull orders within milliseconds to avoid adverse selection and move liquidity farther away. What looked like support turns into a slippage gap.
Under sustained pressure, quantitative risk controls are built to protect the market maker first. The article frames the result as a paradox: tokens that the project lent out to prevent a collapse can become the very inventory sold into a fragile market once conditions worsen.
How projects can redesign the rules of engagement
PANews says the first step out of the liquidity trap is to break the asymmetric setup embedded in older agreements. Projects need to stop acting as passive clients and start acting as rule makers and risk supervisors.
Move from asset lending to transparent custody
The article argues against the loose model in which large token balances are transferred directly into wallets fully controlled by market makers. A healthier arrangement would rely on service-fee or retained-balance structures, or on restricted subaccounts.
- Assets should remain inside multisig custody controlled by the project, or under exchange accounts with read-only visibility and limited trading permissions.
- Market makers should be barred from moving tokens to derivatives venues and opening unsupervised external short positions.
- Contracts should define dynamic inventory caps and return mechanisms so project assets cannot be used as a low-risk hedge source.
Replace volume-based scorecards with structural KPIs
The article is blunt about traditional daily volume metrics: they are easy to inflate through wash trading and have little defensive value. It proposes a new generation of market-making agreements built around structural quantitative KPIs that measure whether the book actually holds up under pressure.
| Evaluation area | Suggested defensive metric | What it is meant to capture |
|---|---|---|
| Spread control | Effective spread coverage during extreme volatility | During sharp market swings, such as a day when the broader market falls by more than 10%, the share of time that two-way quotes remain within ±1% should stay at or above 98% |
| Bid support | Fixed-impact slippage | Instead of measuring static displayed depth, test how much real slippage appears when consecutive market sell orders worth $20,000 to $100,000 hit the book |
| Execution quality | Order-flow imbalance absorption rate | Measure whether the market-making account actually uses its own stablecoin pool to absorb incoming sell flow rather than pulling orders and stepping away |
| Quoting continuity | Millisecond-level quote persistence | After excluding network failures and manual order pulls, two-way quoting time on the CEX book should remain above 99.5% |
| Inventory risk | Real-time cross-account net exposure transparency | Require a public or transparent dashboard that shows spot and derivatives delta exposure in real time and prevents hidden external hedges |
What a stronger defensive stack looks like
Commercial changes alone are not enough, according to the article. PANews says upgrades in microstructure design and execution logic form the practical base for defending a newly launched token against irrational selling.
Toxic order-flow detection
Not every sell order at launch means the same thing. Some come from regular community users taking profits. Some come from high-frequency traders exploiting millisecond delays between centralized exchanges. The article says modern systems can distinguish between those flows by tracking order-book imbalance and the volume-synchronized probability of informed trading, or VPIN.
When the engine identifies a rise in toxic arbitrage flow, it can widen one-sided spreads within milliseconds and raise trading friction for the attacker. When the flow looks more natural and dispersed, it can keep providing deeper liquidity.
CEX-DEX rebalancing across venues
Many tokens launch both on centralized exchanges and in onchain pools such as Uniswap. If onchain and offchain liquidity drift apart, arbitrage bots can keep extracting value from the gap. PANews says an advanced defense system should support millisecond-level rebalancing between CEX and DEX venues.
That means linking concentrated liquidity ranges onchain with depth management on centralized books through automated hedging and bridging logic, so price gaps stay within the cost of arbitrage rather than offering a free trade.
Absorbing airdrop peaks with TWAP and adaptive iceberg logic
On TGE day, a project can often predict spikes in onchain claims, deposits, and withdrawals. The article argues that the right response is not a static wall of displayed bids. It favors time-weighted average price, or TWAP, combined with adaptive iceberg orders. The goal is to spread a burst of heavy selling over hours or even days, creating a buffer without feeding panic.
Liquidity should function as shared infrastructure
The article ends by drawing a line between microstructure defense and long-term valuation. Over time, token prices still depend on product delivery, the project's technical path, the ecosystem's ability to generate internal cash flow, and broader crypto liquidity conditions. No market-making arrangement can permanently hide weak fundamentals.
Even so, PANews argues that early-stage liquidity defense still matters. At the most fragile point in a project's life, a scientific, transparent, and technically capable liquidity framework can keep the token from being overwhelmed by arbitrage, financial extraction, and misaligned incentives.
In that view, market making should not be a black-box game in which traditional capital and opaque firms run hedges against project inventory behind the scenes. It should function as neutral, transparent, agile infrastructure spanning both onchain and offchain liquidity. The article says the industry has a better chance of getting past the post-TGE liquidity trap if founders move away from the old trade of handing over tokens in exchange for a volume report, and toward structured contracts, non-custodial transparency, and modern microstructure risk controls.