The probability that Bitcoin will rise to $70,000 this year has climbed to 79%.
Prediction market platform Polymarket now puts the probability of Bitcoin rising to $70,000 this year at 79%, up from 54% as of June 26. Additionally, the odds of Bitcoin hitting $80,000 stand at 32%, while the probability of it reaching $90,000 is 19%.
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An alleged insider address of LAB has transferred $9.15 million worth of tokens to Aster again.
According to on-chain analyst Ai Yi (@ai_9684xtpa), a suspected insider address of LAB has transferred 10.5 million LAB tokens to Aster again. Calculated at the $0.872 price at the time of transfer, the move is worth roughly $9.15 million. This marks the address’s second transfer of LAB in the same fashion in about 22 hours. Over the past 24 hours, the address has moved a total of LAB worth approximately $18.69 million to Aster. Earlier, after the address completed the transfer last night, LAB’s price once plummeted sharply.
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US-listed ETFs' assets under management climbed to $15.6 trillion, notching a new all-time high.
The Kobeissi Letter noted that the assets under management (AUM) of U.S.-listed ETFs have climbed to a record $15.6 trillion, doubling over the past 30 months. Year-to-date, investors have allocated more than $1 trillion to U.S.-listed ETFs, nearly double the year-to-date record set in 2025. At the current pace, full-year inflows are on track to top $2 trillion for the first time, roughly 33% higher than last year’s all-time high. In June alone, U.S. ETFs pulled in around $193 billion in inflows, marking the second-highest monthly inflow on record. Demand has been concentrated in U.S. large-cap, semiconductor, AI, and South Korea-focused ETFs, with the U.S. ETF market’s growth accelerating.
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Hyperliquid’s perpetual contracts open interest market share hits 9%, a new all-time high.
According to hypeflows data, Hyperliquid holds a 9% share of the global perpetual contract market (covering all centralized exchanges including Binance, Bybit, OKX) by open interest, marking the highest level since the platform’s inception. Per HTX market data, HYPE is currently priced at $66.69, down 2.83% over the past 24 hours.
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Smart money nets $97.2 million in total profit from a 3x short position on 1.85 million CASHCAT tokens
According to Onchain Lens monitoring, a top-performing whale on Hyperliquid has just opened a 3x short position on 1.85 million CASHCAT tokens. The wallet has accumulated a total profit of $97.2 million to date, and its latest CASHCAT position currently boasts an unrealized profit of $17,900.
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Ethereum Foundation leverages AI to mine vulnerabilities: Successfully identifies security flaws, notes that manual review remains irreplaceable.
The Ethereum Foundation has disclosed that its Protocol Security team is using AI agents to conduct vulnerability hunting of Ethereum client software to boost network security. During testing, the AI successfully identified a vulnerability in the Gossipsub message propagation protocol that allows remote attackers to trigger node crashes, leading to validator nodes going offline. The flaw has since been patched and assigned CVE ID CVE-2026-34219.
However, the foundation notes that AI’s biggest challenge is not discovering vulnerabilities, but distinguishing actual flaws from false positives. AI can generate vulnerability descriptions, impact analyses, and exploit code, but may also produce seemingly plausible yet non-existent issues—requiring security researchers to conduct thorough verification. The foundation outlined three common types of false positives: crashes occurring only in test environments, exploit paths that cannot be leveraged in real-world scenarios, and invalid proofs in formal verification.
Additionally, the Ethereum Foundation believes AI is currently better at analyzing individual code issues, but has limited ability to identify complex attack chains formed by multiple legitimate operations—an attack vector that has been the primary cause of breaches for multiple crypto protocols this year. Going forward, the foundation plans to have AI assist in generating potential attack paths, which will then be verified via manual and automated testing to further improve the efficiency and accuracy of vulnerability discovery.
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