There is a very fitting analogy: the current NFT market is like a turbulent digital reef. Most holders can only enjoy their collectibles when the market is stable, but once prices fluctuate wildly, they are easily shattered. Looking back at this point in late 2025, NFTs have long shed the label of mere "illustrations" and have become true synthetic assets. But the problem is, the pricing mechanism remains a black box, with price gaps occurring from time to time, which has become an intractable ailment for the industry.

A recently emerged new protocol aims to solve this problem, and its approach is quite interesting. Instead of artificially raising the floor price, it redesigns the liquidity framework, equipping NFT holders with a set of "hedging skeletons."

The smartest part technically is that it borrows optimization ideas from tensor computations used in large AI models. Traditional NFT lending or derivatives markets often have fragmented liquidity and slow response times. This protocol introduces a layout scheme called tensor restructuring—originally used to improve the computational efficiency of large models—that has been creatively adapted on-chain. It can real-time integrate NFT attribute information, historical transaction records, and community sentiment data, transforming them into continuous weight parameters. This approach directly breaks the latency issues of traditional oracles, significantly improving the protocol’s responsiveness.

In other words, past pricing was more like a hindsight strategist; now, it can more closely capture market trends in real-time. For holders looking to hedge risks, this indeed changes the game—no longer passively enduring volatility but having tools to actively adjust their exposure. Of course, whether this new mechanism can truly stabilize the market depends on its actual operational effectiveness.