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FHE is experiencing a fierce rally today, with a 24-hour increase directly reaching 31.13%. The current price is stuck at 0.10518, with trading volume and open interest both rising—2.78 billion in volume combined with 2.19 billion in open contracts. This signal is very clear: new funds are actively entering the market, rather than shorts being forced to cover and causing a squeeze.
From a technical perspective, the short-term support level is around 0.09250, which was previously the high point of that upward wave. Looking upward, 0.12800 acts as a strong resistance, roughly aligned with the lower edge of the previous dense trading zone. If the price truly pulls back to the support level and trading volume begins to decline, it may be a good opportunity to consider entering gradually. Conversely, if the volume breaks through 0.12800, traders might start eyeing the 0.15000 range. But don’t overlook the risk of rapid retracement in high volatility conditions—things are quite volatile right now.
FHE is essentially an application of fully homomorphic encryption technology, belonging to the privacy computing track. It sounds complex, but simply put: you can perform calculations on encrypted data without exposing the original information. It’s somewhat like a bulletproof glass safe in the blockchain world—data is processed inside, and only the results are visible outside, without revealing the content.
Information on tokenomics remains limited; details on circulation rate and unlocking plans are scarce. The token’s empowerment level mainly depends on how many applications in the ecosystem actually adopt its privacy computing services. From a basic logic standpoint, the current market demand for privacy tracks is still concentrated on functions like transaction anonymity (such as mixers), and the demand for complex on-chain data computation isn’t as urgent. Whether FHE technology can meet market expectations and be implemented in real applications remains the biggest uncertainty. The current hype is mainly driven by capital, and long-term gains will depend on whether there are genuine use cases.