The rise in price was only the visible surface. Underneath, the structure of the fraud depended on controls that were technical, not theatrical. According to reporting by blockchain analysts and contemporaneous media accounts, SQUID’s smart contract included a restrictive selling mechanism that prevented ordinary holders from dumping tokens as freely as they had bought them. In a normal market, liquidity lets buyers and sellers discover price. In this market, the exit was obstructed, and that obstruction did the work of the scam.
That technical architecture was the key to the entire operation. SQUID, the token promoted in the wake of the global attention around Netflix’s “Squid Game,” was not simply a meme asset that went wrong. Its mechanics made it possible for the token to rise on demand while denying many holders a functioning way out. That difference mattered. A price can be displayed on a screen, and a chart can climb minute by minute, but if holders cannot realize gains by selling, the market is not functioning as a market in the ordinary sense. It is functioning as a trap.
The structure exploited the gap between appearance and exit. Buyers could accumulate tokens, and the token’s price could continue to move upward, but the right to convert those holdings back into more liquid assets was obstructed. That made the scheme unusually effective because it did not merely rely on hype; it relied on the mechanics of disappointment. It allowed the illusion of momentum to persist long enough for participants to believe they were witnessing a real market, when in fact the market had been engineered to separate entry from exit.
The technical details were what made the fraud difficult to detect quickly. Blockchain records are public, but public does not mean legible. A token contract can be examined, and suspicious restrictions can be identified by specialists, but most buyers do not inspect smart contract code before purchasing. They see the branding, the social media momentum, and the rapidly rising price. In the case of SQUID, reporting by blockchain analysts and contemporaneous media accounts described a smart contract that restricted selling in ways that ordinary users were unlikely to understand before it was too late.
There were also design features that rewarded waiting until the final moment. Reports stated that the token’s smart contract or associated mechanisms required increasingly large numbers of buyers before sells could be processed, a structure that made the market look active while concentrating risk in the hands of the creators or insiders. Whether one labels that a rug pull, a honeypot, or a deliberately engineered exit trap, the essential feature is the same: the issuer controls the door.
That control changed the entire tempo of the scheme. In a conventional pump-and-dump, the danger is often visible in the volatility. In a constrained token, the danger is more insidious. Participants may not know they are trapped until they attempt to leave. By that point, the mechanism has already done the work. The fraud does not require theatrical collapse at the start; it requires just enough continued activity to keep new money arriving while old money finds itself immobilized.
The maintenance load for a scheme like this can be astonishingly light at the start and brutally demanding once money floods in. Someone must keep the website alive, moderate social channels, answer questions with enough confidence to postpone panic, and ensure the token’s visible market activity remains convincing. In that environment, even silence becomes part of the script. If the project does not say too much, it cannot be caught contradicting itself too soon. The public-facing surface can remain glossy while the underlying mechanics do the real extraction.
The money flows in such schemes are often the least glamorous part and the most important. According to later reporting, the creators of SQUID extracted millions in crypto as buyers piled in. One widely cited estimate put the haul at about $3.38 million. That number is not merely a round figure; it is the size of the gap between what was promised to the market and what was taken from it. In fraud cases, the proceeds are often smaller than the mythology around them but large enough to destroy real households.
The public record on exact wallets and beneficiaries remained limited, which is itself telling. Blockchain transactions can be visible while the identities behind them stay obscured by address hopping, mixers, and the pseudonymous habits of crypto finance. Transparency without identity can be a trap of its own: everything is visible except the person responsible. Analysts can trace flows from one address to another, but if the controls are built to obscure beneficial ownership, the ledger becomes evidence of movement without necessarily providing immediate accountability.
A near-miss in schemes like this often comes not from regulators but from the market itself. Buyers begin to notice that selling is difficult. Some traders reportedly discovered they could not convert their SQUID holdings back into more liquid assets. That discovery should have frozen the market, but by then the design had already done its work. A trap need not hold forever if it can hold long enough. The point is not endurance; the point is extraction.
The tension in these cases is that the warning signs are often visible in hindsight and only partially visible in real time. The chart can remain active even as the mechanism underneath becomes more restrictive. Buyers see a fast-moving token and assume discovery is still happening. In reality, discovery has been replaced by friction. The market is not failing accidentally; it is being made to fail in a particular direction.
The surprising fact, and one that captures the perversity of the whole operation, is that the token’s price did not collapse from a gradual loss of faith. It had become so detached from fundamentals that the eventual break looked like a sudden mechanical failure rather than the result of a slow information correction. The lie was sustained not by one deception but by a stack of them: branding, scarcity, technical friction, and the assumption that if the chart was moving up, someone else must know why.
Pressure mounted as more buyers learned the hard way that liquidity was not what it seemed. Yet the public-facing channels, where visible, still presented an image of momentum. That contradiction is a hallmark of this kind of fraud: the more dangerous the structure becomes, the more polished the surface must appear. The token could continue to be framed as part of a cultural moment, even as the mechanics beneath it made ordinary trading nearly impossible.
By the time the cracks were visible to careful observers, the scheme had already fulfilled its central function. It had converted cultural relevance into capital, then converted capital into exit liquidity for insiders. What remained was a market crowded with people holding a token they could not easily sell and a digital trail that pointed toward wallets rather than faces. The fraud did not need a confession to be understood. Its mechanics were the confession.