According to AiCoin monitoring, a large amount of funds flowed out of the US spot BTC ETF market yesterday, with a net outflow of up to $89.7 million. Among them, IBIT was the largest outflow, with a daily net outflow of $112 million; Next is BITB, with a total of 13.7 million US dollars. According to the "Spot BTC ETF Tracking" real-time trading strategy developed by AiCoin, there is a significant positive correlation between the inflow of ETF funds and BTC prices. Subscription indicators can be used to automatically place orders based on the flow of funds in the program. Data for reference only

Monitoring shows that a whale deposited 211700 SOL (approximately $178 million) into Binance after 11 months, facing a loss of $176 million. Previously, the whale extracted 200000 SOL (approximately $354 million) from Kraken. （Onchain Lens）

[Mike Silagadze: Committed to Contributing 5,000 ETH to the Kelp Recovery Fund] According to a post by ether.fi CEO Mike Silagadze on the X platform, the reason for committing 5,000 ETH to the Kelp hack recovery fund is concern that this incident could trigger a systemic collapse of DeFi.

A16z: AI proxy can identify DeFi vulnerabilities with a success rate of up to 70% According to a16z's disclosure, its research and testing show that the success rate of AI agents in identifying DeFi price manipulation vulnerabilities without domain knowledge is 10%, and it increases to 70% after introducing structured domain knowledge. Agents can accurately identify vulnerabilities, but there are limitations in recursive lending logic, profit margin judgment, and cross contract multi-step attack assembly. The experiment also recorded a sandbox escape event where the agent bypassed information isolation by extracting RPC keys. The research team believes that AI agents can assist in vulnerability identification, but cannot replace professional security auditors.

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