In the crypto asset market, token generation events (TGEs) are often seen by teams as the finish line of a long race. Yet for the vast majority of projects, the first week after listing on exchanges is often the beginning of a liquidity crisis and a price collapse.
A common and puzzling phenomenon is this: the project team has completed tens of millions of dollars in financing, possesses a compelling technical narrative and community hype, and has even simultaneously listed on several top-tier centralized exchanges (CEXs). Yet 48 hours after opening, the token price begins a long, slow decline, and within two weeks it becomes the norm for it to fall below the private round cost or even the public sale price. Faced with community accusations of "the team dumping," founders often feel deeply aggrieved—the project team has not sold off, and the market maker has also provided reports showing a massive "average daily trading volume."
Where exactly is the problem?
If one looks beyond surface-level market sentiment, one finds that token price breaking below issue price is often not a single-dimensional case of "bad market conditions," but a systemic collapse jointly triggered by an initial asset structure mismatch, conflicts of interest in traditional market-making contracts, and fragile microstructure order book depth.
I. Tracing the Chain of Breaking Issue Price: The Structural Fragility of "Low Float, High FDV"
The starting point for understanding breaking issue price lies in examining the mainstream token issuance structure formed over the past two cycles: low circulating supply and high fully diluted valuation (FDV).
This design was originally intended as a capital defense strategy. Primary-market venture capital institutions (VCs) entered and injected capital at valuations in the billions of dollars. To avoid a book-value inversion at the time of public listing, project teams were forced to anchor the fully diluted valuation at TGE to an extremely high range. To maintain that valuation in a public market with limited buy-side capital, the project team's only adjustment lever was to compress the initial circulating supply, pushing the TGE release ratio down to 5%–10%, with the remaining more than 90% of tokens spread through linear release mechanisms over the next three to five years.
On the surface, an extremely small float can artificially create asset scarcity, reduce the total selling pressure at the moment of listing, and thereby assist price discovery. But in actual secondary trading, this design often magnifies structural risk in the opposite direction:
1. Highly certain immediate selling pressure is released in concentrated form
Of the mere 5%–10% initial circulating share, apart from the inventory lent out by market makers, the vast majority is allocated to two groups: airdrop users and liquidity miners.
In the absence of strong token use cases and value-capture mechanisms, these holders are purely "price-insensitive sellers." Whether the opening price is $1 or $5, because their acquisition cost is close to zero, their optimal game-theoretic solution is to sell at market order as quickly as possible within the first minute after opening and cash out. The homogeneous operations of hundreds or even tens of thousands of retail accounts will, within milliseconds, launch intensive extreme depth stress tests against the order book.
2. Valuation inversion squeezes out natural buyers, creating a structural vacuum in liquidity
Individual investors and retail traders in today's secondary market have become fully mature and display a strong defensive psychology toward the narrative of "taking over the liquidity for VC exits." When retail investors see a project whose mainnet has not yet launched and whose daily active users are limited, yet whose FDV is as high as $5 billion, very few are willing to act as long-term holders in the secondary market at a high premium. A secondary market lacking real buyer capital directly leads to an exceptionally weak bid side in the order book. At this point, the market is no longer driven by fundamentals, but degenerates into a pure zero-sum battle over existing liquidity.
3. Off-market hedging and hedge positions induced by long-term unlock pressure
A low float does not mean selling pressure is limited to 5%. Many early institutional investors and advisory teams, facing lock-up periods of 12 to 36 months, see the inflated market price after listing and, driven rationally by the desire to lock in capital gains, will use over-the-counter (OTC) transactions to transfer unlocked shares at a discount, or directly borrow spot tokens through the lending markets of centralized exchanges and open equivalent short positions in the futures market for Delta-Neutral hedging.
This early de facto exit of unlocked tokens means that although the circulating supply is frozen on-chain, the corresponding selling pressure has already been transmitted in advance through the derivatives market to the secondary spot order book, directly sealing off all room for the token price to rebound upward.
When a fragile bid side encounters surging immediate selling, the token's microstructure becomes extremely dependent on the last line of defense—the market maker.
II. Interest Misalignment: The Inherent Conflict of the Traditional "Token Loan + Option" Market-Making Model
Project teams generally harbor a beautiful vision: by paying a considerable amount of token chips and hiring a well-known industry market maker, they can rely on the other party's abundant capital strength and top-tier algorithmic models to build an indestructible "moat" in the market, both smoothing sharp declines and maintaining tight spreads.
However, if one deconstructs the most prevalent market-making agreements in the industry from the perspective of financial engineering and incentive compatibility, one reaches an unsettling conclusion: there is a fundamental structural conflict between the rational self-preservation demands of traditional mainstream market makers and the asset-preservation demands of project teams.
1. The underlying financial logic of the "interest-free token loan + call option" model
In current crypto industry business practice, the most common template for market-making agreements is:
Token Loan: The project team lends 1% to 3% of its initial circulating supply (sometimes even more) to the market maker at zero interest, usually for a term of 6 to 12 months.
Call Option: As the core compensation for providing market-making services, the project team simultaneously grants the market maker one or even multiple call options with tiered strike prices (for example, settled at a 30%, 50%, or 100% premium to the opening price).
Market maker capital contribution: The market maker usually promises to inject its own stablecoins (USDT/USDC) on the buy side and post two-sided quotes on centralized exchanges.
On the surface, this is a perfectly incentive-bound architecture: if the project token price rises, the call options in the market maker's hands will become in-the-money options, and the market maker can exercise them to buy low-priced tokens and sell them in the market, thereby sharing in the huge gains brought by the project's growth.
This mechanism can achieve multi-party win-win in a one-sided bull market, but in a ranging or declining market, its financial logic leads to a fatal game-theoretic imbalance:
│ Traditional "Token Loan + Option" Market-Making Cooperation Model │
└───────────────┬───────────────┘
│
┌────────────────┴────────────────┐
▼ ▼
[Scenario A: One-sided explosive bull market] [Scenario B: Ranging or post-breakdown decline]
│ │
▼ ▼
Options enter in-the-money (ITM) Options become deeply out-of-the-money (OTM)
│ │
▼ ▼
Exercise and realize excess profits Option value approaches zero
(Multi-party win-win, everyone happy) The only risk is depreciation of the net token position
│
▼
[Market Maker's First Self-Preservation Rule]
Immediately sell borrowed tokens into the order book at market price
Exchange for stablecoins to lock in a Delta-neutral exposure
│
▼
Withdraw bid-side depth to avoid losses from taking over the bag
│
▼
The project token becomes the market maker's escape channel
Hedging takes priority over supporting the price: Market makers are essentially quantitative institutions pursuing low risk, or even Delta neutrality, not venture capital funds. When the price begins to fall under selling pressure, the options become deeply out-of-the-money, and the risk of the market maker holding spot surges. To preserve its own capital, its most rational choice is not to use real money to stubbornly absorb buy orders, but to quickly dump the borrowed tokens into the market in exchange for stablecoins to lock in exposure.
The illusion of "fake depth": In the market-making reports many project teams receive each month, average daily trading volume often runs into millions of dollars, and the bid-ask spread is also maintained within the ±2% stipulated by the contract. However, this depth often relies on simple static grid quoting. Once a large market sell order hits, the market-making algorithm, in order to prevent adverse selection risk, will automatically cancel orders within milliseconds and move the quotes backward, forming what is known as a "slippage abyss."
Rational self-preservation action: Facing sustained selling pressure, the only instruction of quantitative risk-control algorithms is to protect their balance sheet. The most rational choice for the market maker is absolutely not to use its own stablecoins to "buy the dip and support the price," but to follow the trend and directly sell the borrowed project tokens into a market lacking buy-side support, quickly swapping them into stablecoins and establishing reverse hedge positions in the derivatives market.
This mechanism creates a paradox: the tokens the project team lent out for free to prevent dumping are, at the first moment of downside market risk, dumped by the market maker itself under the name of quantitative risk control onto its already fragile order book.
III. Rule Reshaping: How Project Teams Can Reconstruct the Market-Making Game and Assessment Dimensions
The first step to escaping the liquidity trap is to break the asymmetric game in traditional agreements. Project teams need to transform from passive principals into rule designers and risk-control supervisors.
1. Change the cooperation model: from "asset lending" to "transparent account custody"Project teams should gradually phase out the crude model of transferring large amounts of tokens directly into market makers' uncontrolled wallets. A healthier architecture is to adopt a service fee/retainer system or a restricted-permission sub-account trading model:
Assets remain in multi-signature custody accounts controlled by the project team or under read-only/restricted trading APIs of specific exchanges.
Market makers are prohibited from privately transferring tokens to derivatives platforms for unsupervised over-the-counter short selling.
Dynamically cap market-making inventory and establish a return mechanism, cutting off the backdoor for risk-free hedging using project assets.
2. Reset assessment metrics: strip out fake trading volume and focus on absorption quality
Traditional daily trading volume metrics are extremely easy to achieve through wash trading via self-matching, and have almost no defensive value. Next-generation market-making protocols should introduce penetrating structural quantitative KPIs:
IV. Technological Evolution: The Micro-Defensive Architecture of Next-Generation Market-Making Systems
Beyond the restructuring of commercial terms, upgrades at the micro market structure and algorithmic execution levels are the physical foundation for resisting irrational sell pressure in the early stage. High-level liquidity management is not mindless support buying, but rather hedging external friction through multi-layered quantitative technology.
│
▼
┌───────────────────────────┐
│ Order Flow Toxicity Identification Engine (VPIN) │
└─────────────┬─────────────┘
│
┌─────────────┴─────────────┐
▼ ▼
[ Toxic Arbitrage Flow ] [ Normal User Sell Pressure ]
│ │
▼ ▼
Dynamically widen one-sided spread Progressive batch absorption (TWAP)
Avoid being arbitraged by quant bots Coordinate DEX-CEX cross-pool capital rebalancing
1. Identify and hedge "toxic order flow"
In the sell orders during the initial listing period, two completely different types of flow are mixed together: profit-taking by ordinary community users, and latency arbitrage by high-frequency quantitative bots exploiting millisecond-level latency differences between CEXs. Modern intelligent market-making algorithms dynamically adjust the order book skew by calculating order book imbalance and volume-synchronized probability of toxicity (VPIN) indicators. When the system detects a surge in toxic flow with arbitrage characteristics, the algorithm automatically widens the one-sided spread within milliseconds, raising the friction cost for attackers; when facing dispersed natural sell orders, it provides ample depth for a smooth transition.
2. Multi-center dynamic rebalancing between CEX and DEX
Tokens are often simultaneously listed on centralized exchanges and on-chain liquidity pools (such as Uniswap). If on-chain and off-chain liquidity are fragmented, it easily leads to risk-free arbitrage by cross-market arbitrage bots, wasting the project's market-making capital for nothing. A mature liquidity defense system must establish a millisecond-level CEX-DEX cross-architecture rebalancing mechanism. By deploying automated hedging bridges between concentrated on-chain liquidity ranges and CEX depth, cross-market price differences are kept within the arbitrage cost line at all times, minimizing liquidity loss.
3. Absorption algorithms for airdrop peaks (TWAP and anti-fragile limit orders)
Facing the foreseeable on-chain claim and exchange deposit/withdrawal peaks on TGE day, the defensive strategy should not use flat, static thick orders, but should adopt time-weighted average price (TWAP) algorithms combined with adaptive iceberg orders. This algorithm can, without intensifying panic sentiment, spread the instantaneous massive sell pressure that erupts in a short period over an absorption cycle of several hours or even several days, establishing a buffer airbag for the market.
Conclusion: Let liquidity return to its nature as public infrastructure
The long-term price trajectory of a token in the secondary market ultimately depends on the implementation progress of the project's underlying technology roadmap, the ecosystem's endogenous cash flow generation capacity, and the rise and fall of global crypto macro liquidity. Any attempt to cover up a lack of fundamentals through so-called "market cap management black magic" or violent counter-trend pumping will ultimately be mercilessly punished by economic laws.
But this does not mean that market-making defense at the micro level is meaningless. On the contrary, during the most fragile shell-breaking period at the birth of a project, a scientific, transparent, and highly technologically armed liquidity management system is the physical armor that protects entrepreneurial achievements from being strangled in the cradle by financial black industries, malicious arbitrageurs, and asymmetric game mechanisms.
The essence of market making should never be a predatory hedging game in which traditional capital and black-box institutions hide behind the scenes to prey on project tokens. It should be a neutral, transparent, agile, and deeply interest-aligned public infrastructure for on-chain and off-chain liquidity.
When more and more Web3 project founders begin to break out of the blind delegation model of "hand over tokens in exchange for a fake trading volume report" and turn to penetrating structured protocol design, transparent non-custodial trading architecture, and modern micro-algorithmic risk control, the industry can truly cross the liquidity trap after TGE, allowing token valuations to truly penetrate the fog of cycles and return to the main course of product refinement, technological innovation, and ecosystem prosperity.