Scan to download
BTC $75,112.78 -1.50%
ETH $2,312.09 -2.07%
BNB $620.11 -2.15%
XRP $1.42 -1.26%
SOL $84.68 -2.84%
TRX $0.3330 +1.60%
DOGE $0.0937 -3.03%
ADA $0.2452 -3.00%
BCH $440.09 -1.78%
LINK $9.14 -3.01%
HYPE $43.01 -3.47%
AAVE $92.74 -17.62%
SUI $0.9421 -3.28%
XLM $0.1676 -1.06%
ZEC $325.81 -0.43%
BTC $75,112.78 -1.50%
ETH $2,312.09 -2.07%
BNB $620.11 -2.15%
XRP $1.42 -1.26%
SOL $84.68 -2.84%
TRX $0.3330 +1.60%
DOGE $0.0937 -3.03%
ADA $0.2452 -3.00%
BCH $440.09 -1.78%
LINK $9.14 -3.01%
HYPE $43.01 -3.47%
AAVE $92.74 -17.62%
SUI $0.9421 -3.28%
XLM $0.1676 -1.06%
ZEC $325.81 -0.43%

or

Spark's strategic director: The ETH market faces liquidity risks due to a potential 10% to 15% reduction in rsETH loans

The strategic director of Spark, monetsupply.eth, posted on platform X that as the stablecoin market begins to lack liquidity, the situation is entering a more dangerous phase. I believe that the ETH market is about 16.5% supported by rsETH, and if the loans supported by rsETH experience losses shared between the mainnet and external chains, there may be a 10% to 15% reduction in emode, leaving a remaining 2% to 3% reduction for ETH suppliers to smooth out the umbrella structure.ETH suppliers naturally tend to exit as soon as possible to avoid this risk, so the utilization rate is locked at 100%, and the borrowing rates are insufficient to incentivize the repayment of unrelated LST cycles (wstETH, weETH) to release liquidity. Since users cannot withdraw ETH, those who borrow stablecoins like USDT and use ETH as collateral cannot close their positions even when stablecoin borrowing rates rise, cutting off the typical incentive mechanism to maintain market health.Currently, two unhealthy incentives are causing the market utilization rate to be locked at 100%: 1) ETH holders cannot close their positions to maintain a healthy LTV, and liquidators cannot atomically withdraw or sell collateral, which may lead to bad debts if the ETHUSD price falls. 2) Users supplying USDT, in order to exit their holdings, tend to maximize borrowing of other stablecoins, which is currently generating positive returns (temporarily), thus the exit cost is low; if conditions worsen, they can at least recover 75% of the position value.The bottom line is that these pooled/re-staked lending markets must maintain liquidity at all costs to operate normally. The recent weakening of slope2 against Aave's maximum borrowing rate is having a negative impact and significantly increasing the risk of failure in the yield market.

ChainCatcher "From Cryptocurrency to Smart Economy" Roundtable: AI Agents are shifting from conversational to execution-oriented, with trust and verifiability becoming key bottlenecks for scalability

At the "Crypto 2026: From Cryptocurrency to Smart Economy" themed forum held in Hong Kong, guests including KiteAI's Asia Pacific head Laughing, Sentient's Asia Pacific head Anita, Brevis content director Nic Tang, Mentis product head Jerry, and Predict.fun's Asia Pacific BD head Ah Huang Ricardo engaged in a roundtable discussion on the theme "AI × Crypto --- The Next Generation Digital Economy Foundation."Regarding whether the outbreak of open-source AI Agents (such as "raising lobsters") is a short-term sentiment or a long-term trend, Laughing believes this marks a paradigm shift of AI from "conversational" to "executive," signaling the beginning of a long-term trend. However, Agents lack a physical identity, making it difficult for merchants to trust their trading behavior, and issues of data leakage and uncontrollability remain obstacles that must be overcome for scaling. Jerry pointed out, based on his own usage experience, that current Agents face security risks such as memory confusion, infinite loops consuming tokens, and accidental file deletions. Although newly emerged Agents have improvements, they still have shortcomings. Ah Huang Ricardo stated that behind the short-term sentiment is real user demand, but truly reproducible profitable trading Agents are still very rare, and there is a long way to go.Addressing core bottlenecks such as trust, security, and verifiability, Nic Tang emphasized that the current execution process of Agents is like a black box, where users cannot verify whether their decisions are executed as promised. Zero-knowledge proof technology can mathematically prove the source of the Agent's output and compliance of behavior while not exposing privacy. Anita added that Sentient is committed to building an open and collaborative AI agent network, promoting the deep integration of AI and blockchain in identity, data, and incentive layers, providing foundational support for the next generation digital economy.Regarding the application scenarios that may scale first, the guests generally believe that the programming field is relatively mature, and Agents in prediction markets perform better than humans in specific tracks due to their rationality and lack of emotions. In the short term, they are optimistic about API Marketplace and cross-platform shopping Agents, while in the medium term, they are optimistic about content creation AI (such as AI influencers). Agent-to-Agent interaction and the Agent/Skill Marketplace are seen as important future trends.

Gongye Feng, founder of Monera Digital: AI should serve as a "trust accelerator" for private banking, rather than replacing traders

At the "Crypto 2026: From Cryptocurrency to Smart Economy" forum held in Hong Kong, Gongye Feng, co-founder and CEO of Monera Digital, delivered a keynote speech titled "AI Empowered Private Banking for the Smart Economy."Feng pointed out that what disappeared after 2022 was not the demand for digital assets, but the market's confidence in the ways capital could enter. Monera Digital positions itself as an AI private bank for the smart economy, where the core is not using AI as traders, but as an accelerator that compresses the research, testing, and iteration cycles from months to days.He emphasized that risk control must be institutionalized rather than personalized. Monera has built four lines of defense: constraints on exposure and collateral at the source, automated clearing and margin management, complete isolation of client assets, and eliminating maturity mismatches while maintaining liquidity buffers. In addition, AI plays the role of a 24/7 digital CRO, achieving a leap from passive monitoring to proactive warning.In terms of service model, Monera does not operate as a pure technology platform, but insists on "anti-AI illusion," where AI is responsible for optimization and efficiency, while trust, responsibility, and continuity of relationships are still borne by humans. Feng believes that the prerequisite for crypto assets to truly become configurable assets is to translate complexity into clear, continuous, and trustworthy private banking services.
app_icon
ChainCatcher Building the Web3 world with innovations.