In 2022, the crypto industry experienced a major systemic event, the liquidity crisis and bankruptcy restructuring of the FTX trading platform. The event affected not only the exchange’s own operations, but also the ecosystem assets closely connected to it. Among them, FTX Token, FTT, was one of the assets most directly affected.
Within the exchange token model, FTT was once a typical utility asset. Its design depended on the trading platform’s business revenue and user activity. The FTX incident led the market to reexamine the risk structure of centralized exchange tokens and became a key case for understanding “platform dependence” in the CeFi model.
FTT was closely tied to the FTX platform by design. Its main uses included trading fee discounts, collateral for derivatives trading, and staking rewards. This meant that demand for the token depended directly on the exchange’s activity level and business scale.
When the exchange was operating normally, this structure could create a positive cycle: users used the platform, fees were generated, the platform bought back FTT, and token scarcity increased. But this model depended on one essential condition: the platform had to remain capable of operating continuously.

When FTX began facing liquidity problems, the market started questioning its solvency, which led to a rapid withdrawal of funds. Because FTT was partly used in collateral arrangements and within the asset and liability structure, its price volatility further intensified the risk.
As market selling increased, FTT’s liquidity fell sharply, bid and ask spreads widened, and trading depth weakened. This liquidity contraction not only affected price stability, but also reduced its effectiveness as a collateral asset.
FTT’s main functions depended on the services provided by the FTX platform. Once the exchange stopped operating or restricted its functions, FTT’s core use cases disappeared as well, including:
Trading fee discounts no longer applied
Its derivatives collateral function became ineffective
The staking reward mechanism was interrupted
The loss of these functions meant that the token’s demand base was weakened, which in turn affected the logic supporting its overall value.
FTT’s value model relied on the path of “platform revenue → buybacks → burns.” After the exchange’s business was interrupted, revenue sources declined or even stopped, making it impossible to sustain the buyback mechanism.
At the same time, changing market expectations further increased price volatility. Without new sources of demand, the token’s price became driven more by market sentiment than by fundamental support.
After the incident, market confidence declined rapidly, and investors became much more aware of the risks associated with centralized platform tokens. FTT’s price volatility reflected not only changes in supply and demand, but also a reassessment of the platform’s creditworthiness.
This shift in confidence had a spillover effect. It influenced the market performance of other exchange tokens and encouraged users to pay closer attention to asset custody and risk diversification.
The changes in FTT revealed several key risk characteristics of exchange tokens:
Heavy dependence on a single platform
Value sources concentrated in trading revenue
Lack of an independent operating mechanism
By comparison, some decentralized tokens maintain their functions through protocol operations and do not rely entirely on a single entity. This difference became an important point of comparison.
The FTX incident pushed the industry to focus more on risk management and transparency, including the wider adoption of mechanisms such as Proof of Reserves. At the same time, users showed increased interest in self custody and decentralized products.
The incident also prompted trading platforms to reassess the design of their token models in order to improve risk resistance and long term sustainability.
The impact of the FTX collapse on FTT was mainly reflected in declining liquidity, failed functions, and the interruption of its value model. Because FTT was highly tied to the platform, the exchange’s operating condition directly determined the token’s use cases and demand base. This event became an important case for understanding the risk structure of centralized exchange tokens and also provided the industry with a reference point for transparency and risk control.
FTT’s functions and value depended on the FTX platform. When the platform’s operations became restricted, the token’s use cases and sources of demand were affected at the same time.
Declining liquidity and changes in market confidence worked together, creating an imbalance between buying and selling pressure and intensifying price volatility.
After the original platform functions were interrupted, its core uses were greatly reduced. Today, it exists more as a historical case.
Exchange tokens usually depend on platform operations, so they share certain structural risks. However, the specific level of risk depends on the design of each platform.
The event encouraged the development of risk management mechanisms and increased the market’s focus on transparency among centralized platforms.
They can be analyzed through platform dependence, sources of value, and liquidity structure, helping build a more complete framework for understanding their risks.





