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On May 30, according to HTX market data, HYPE surpassed $68, reaching a new all-time high of $68.5, with a 24-hour increase of over 10.4% and more than 50% growth over the past two weeks. The current market capitalization is reported at $15.2 billion, ranking 11th in the cryptocurrency market capitalization leaderboard, with a fully diluted valuation (FDV) rising to $65.4 billion. Additionally, two competing whales, 'Trader Loracle' and '0x082', recorded significant unrealized profits and losses, with 'Trader Loracle' holding a short position valued at $114 million, incurring an unrealized loss of $36.6 million; while '0x082' held a long position valued at $94 million, realizing an unrealized profit of $40.69 million.

[HYPE Surpasses $68, Hits New All-Time High with Over 50% Increase in Two Weeks]On May 30, according to HTX market data, HYPE surpassed $68, reaching a new all-time high of $68.5, with a 24-hour increase of over 10.4% and more than 50% growth over the past two weeks. The current market capitalization is reported at $15.2 billion, ranking 11th in the cryptocurrency market capitalization leaderboard, with a fully diluted valuation (FDV) rising to $65.4 billion. Additionally, two competing whales, 'Trader Loracle' and '0x082', recorded significant unrealized profits and losses, with 'Trader Loracle' holding a short position valued at $114 million, incurring an unrealized loss of $36.6 million; while '0x082' held a long position valued at $94 million, realizing an unrealized profit of $40.69 million.

HYPE Surpasses $68, Hits New All-Time High with Over 50% Increase in Two Weeks

According to Coinglass data, a total of $266 million was liquidated across the network in the past 24 hours, with $138 million in long positions and $128 million in short positions. Among these, Bitcoin long positions accounted for $40.0178 million, Bitcoin short positions for $36.097 million, Ethereum long positions for $32.8374 million, and Ethereum short positions for $23.3968 million.

[Over $266 Million Liquidated in the Last 24 Hours, $138 Million in Long Positions]According to Coinglass data, a total of $266 million was liquidated across the network in the past 24 hours, with $138 million in long positions and $128 million in short positions. Among these, Bitcoin long positions accounted for $40.0178 million, Bitcoin short positions for $36.097 million, Ethereum long positions for $32.8374 million, and Ethereum short positions for $23.3968 million.

Over $266 Million Liquidated in the Last 24 Hours, $138 Million in Long Positions

On May 30, Bank of America Securities' latest report pointed out that the corporate earnings expectations behind the global stock market's record highs have diverged unusually from traditional macro fundamentals. The MSCI Global Index's 12-month forward EPS has risen by 9% over the past three months, annualizing nearly 40%, while the S&P 500's three-month EPS momentum has surged to 12%, reaching a 40-year high. However, the global PMI has continued to decline to about 50.5, a two-year low. More critically, about two-thirds of this round of earnings upgrades stem from an expansion in profit margin expectations, with the consensus profit margins for Europe and the global 12-month forward rising to historical peaks of 13.9% and 11.4%, respectively. Bank of America likens this unusual phenomenon to China's accession to the WTO in 2001—when over a billion workers integrated into the global economy weakened the bargaining power of workers in developed countries, pushing the share of after-tax corporate profits in GDP from 5%-8% to 10%-12%. Today, the market bets that the large-scale deployment of AI tools will similarly impact white-collar bargaining power, leading to a structural leap in corporate profit margins, even in the current context of lacking macro acceleration. In the report, Bank of America listed five major underestimated risks by the market: macroeconomic downturn, demand contraction triggered by AI substitution, the cost of using large model tokens has doubled since the beginning of the year, productivity improvements may take a decade rather than being realized immediately, and large-scale white-collar unemployment could trigger political backlash and pressure for windfall taxes. The market is currently pricing in an almost ideal scenario of 'no demand worries and record profit margins' too highly; if a macro downturn and widening risk premiums materialize, the current earnings-driven logic will face a dual test of downward adjustments in profit margin expectations and valuation compression.

[Bank of America: Market Hopes AI Adoption Mirrors China's WTO Entry, Boosting Global Corporate Profit Margins]On May 30, Bank of America Securities' latest report pointed out that the corporate earnings expectations behind the global stock market's record highs have diverged unusually from traditional macro fundamentals. The MSCI Global Index's 12-month forward EPS has risen by 9% over the past three months, annualizing nearly 40%, while the S&P 500's three-month EPS momentum has surged to 12%, reaching a 40-year high. However, the global PMI has continued to decline to about 50.5, a two-year low. More critically, about two-thirds of this round of earnings upgrades stem from an expansion in profit margin expectations, with the consensus profit margins for Europe and the global 12-month forward rising to historical peaks of 13.9% and 11.4%, respectively. Bank of America likens this unusual phenomenon to China's accession to the WTO in 2001—when over a billion workers integrated into the global economy weakened the bargaining power of workers in developed countries, pushing the share of after-tax corporate profits in GDP from 5%-8% to 10%-12%. Today, the market bets that the large-scale deployment of AI tools will similarly impact white-collar bargaining power, leading to a structural leap in corporate profit margins, even in the current context of lacking macro acceleration. In the report, Bank of America listed five major underestimated risks by the market: macroeconomic downturn, demand contraction triggered by AI substitution, the cost of using large model tokens has doubled since the beginning of the year, productivity improvements may take a decade rather than being realized immediately, and large-scale white-collar unemployment could trigger political backlash and pressure for windfall taxes. The market is currently pricing in an almost ideal scenario of 'no demand worries and record profit margins' too highly; if a macro downturn and widening risk premiums materialize, the current earnings-driven logic will face a dual test of downward adjustments in profit margin expectations and valuation compression.

Bank of America: Market Hopes AI Adoption Mirrors China's WTO Entry, Boosting Global Corporate Profit Margins

On May 30, Iranian media reported that a member of the Iranian Parliament's presiding board, Salimi, stated that Iran's plan to 'implement sovereign control' over the Strait of Hormuz is set to be approved by Parliament, with hopes of being passed as a permanent law. Only Iran and Oman will have the authority to decide on the management of the Strait of Hormuz. Iran has already communicated with Oman, which has expressed preliminary agreement, and the relevant plan is expected to be finalized soon. Previously, on the 28th, Trump commented on the joint control of the Strait of Hormuz by Iran and Oman, stating that Oman 'will behave well' and rejected any such mechanism, saying, 'Otherwise, we will have to bomb them. No one can control the strait. The strait will be open to everyone,' and that the U.S. will 'closely monitor this issue.' Trump added, 'Oman will act like other countries, or we will have to bomb them. They understand this, so nothing will happen.'

[Ignoring Trump's Warning, Iran's Parliament to Approve 'Sovereign Control' Plan for the Strait of Hormuz]On May 30, Iranian media reported that a member of the Iranian Parliament's presiding board, Salimi, stated that Iran's plan to 'implement sovereign control' over the Strait of Hormuz is set to be approved by Parliament, with hopes of being passed as a permanent law. Only Iran and Oman will have the authority to decide on the management of the Strait of Hormuz. Iran has already communicated with Oman, which has expressed preliminary agreement, and the relevant plan is expected to be finalized soon. Previously, on the 28th, Trump commented on the joint control of the Strait of Hormuz by Iran and Oman, stating that Oman 'will behave well' and rejected any such mechanism, saying, 'Otherwise, we will have to bomb them. No one can control the strait. The strait will be open to everyone,' and that the U.S. will 'closely monitor this issue.' Trump added, 'Oman will act like other countries, or we will have to bomb them. They understand this, so nothing will happen.'

Ignoring Trump's Warning, Iran's Parliament to Approve 'Sovereign Control' Plan for the Strait of Hormuz

On May 30, Peter Berezin, Chief Global Strategist at BCA Research, analyzed that the current AI bubble is primarily a profit bubble rather than a traditional valuation bubble. Unlike many previous stock market bubbles characterized by a rapid rise in price-to-earnings (PE) ratios, the valuations in the current AI-related sectors, especially semiconductors, are relatively reasonable, but the profit expectations are overly optimistic and unsustainable. Historically, similar situations occurred with real estate developers and banks before the 2008 financial crisis: they appeared to have low PE ratios but actually relied on unsustainable profit surges. Once profits fail to materialize, the bubble will burst. Peter pointed out that semiconductor sales have shown parabolic growth, and current AI demand indicators have not yet indicated an imminent bubble burst, but all bubbles eventually come to an end. Peter emphasized that investors should not overly rely on Wall Street analysts' profit forecasts, as stock prices typically decline significantly before profit expectations begin to be downgraded. In previous cycles, stock prices reached their peaks, and the forward 12-month EPS often began to decline several months later; waiting until EPS downgrades to sell could result in severe losses. The key to current investment is to monitor changes in AI demand indicators in advance.

[BCA Chief Discusses AI Frenzy Peak: Current Profit Bubble Rather Than Traditional Valuation Bubble, AI Demand Indicators Will Reflect Market Phase]On May 30, Peter Berezin, Chief Global Strategist at BCA Research, analyzed that the current AI bubble is primarily a profit bubble rather than a traditional valuation bubble. Unlike many previous stock market bubbles characterized by a rapid rise in price-to-earnings (PE) ratios, the valuations in the current AI-related sectors, especially semiconductors, are relatively reasonable, but the profit expectations are overly optimistic and unsustainable. Historically, similar situations occurred with real estate developers and banks before the 2008 financial crisis: they appeared to have low PE ratios but actually relied on unsustainable profit surges. Once profits fail to materialize, the bubble will burst. Peter pointed out that semiconductor sales have shown parabolic growth, and current AI demand indicators have not yet indicated an imminent bubble burst, but all bubbles eventually come to an end. Peter emphasized that investors should not overly rely on Wall Street analysts' profit forecasts, as stock prices typically decline significantly before profit expectations begin to be downgraded. In previous cycles, stock prices reached their peaks, and the forward 12-month EPS often began to decline several months later; waiting until EPS downgrades to sell could result in severe losses. The key to current investment is to monitor changes in AI demand indicators in advance.

BCA Chief Discusses AI Frenzy Peak: Current Profit Bubble Rather Than Traditional Valuation Bubble, AI Demand Indicators Will Reflect Market Phase

On May 30, Iranian media reported that a member of the Iranian Parliament's presiding board, Salimi, stated that the plan for Iran to implement "sovereign control" over the Strait of Hormuz is set to be approved by the Parliament, with hopes of being passed as a permanent law. According to the Iranian Students' News Agency, Salimi mentioned that only Iran and Oman have the authority to decide on the management of the Strait of Hormuz. Iran has already communicated with Oman, which has also expressed preliminary agreement, and the relevant plan is expected to be finalized soon. (Xinhua News Agency)

[Iranian Parliament to Approve Sovereign Control Plan for Strait of Hormuz]On May 30, Iranian media reported that a member of the Iranian Parliament's presiding board, Salimi, stated that the plan for Iran to implement "sovereign control" over the Strait of Hormuz is set to be approved by the Parliament, with hopes of being passed as a permanent law. According to the Iranian Students' News Agency, Salimi mentioned that only Iran and Oman have the authority to decide on the management of the Strait of Hormuz. Iran has already communicated with Oman, which has also expressed preliminary agreement, and the relevant plan is expected to be finalized soon. (Xinhua News Agency)

Iranian Parliament to Approve Sovereign Control Plan for Strait of Hormuz

On May 30, sources revealed that OpenAI has been in discussions with Citigroup and JPMorgan regarding their participation in the upcoming IPO. Citigroup and JPMorgan may join Goldman Sachs and Morgan Stanley in preparing for the listing. However, sources indicated that discussions with Citigroup and JPMorgan do not guarantee their final participation in the IPO, and other investment banks may also get involved. Previously, on May 21, it was reported that OpenAI plans to submit a confidential IPO application to regulators soon, with investment banks including Goldman Sachs and Morgan Stanley assisting in drafting the IPO prospectus, intending to submit documents to regulators in secrecy shortly. Some insiders stated that OpenAI aims to launch its IPO as early as September, although the plans remain subject to change. According to monitoring by PolyBeats, the probability of OpenAI going public by the end of September is 29%, while the probability of going public by the end of the year is 70%.

[OpenAI Discusses IPO Participation with Citigroup and JPMorgan]On May 30, sources revealed that OpenAI has been in discussions with Citigroup and JPMorgan regarding their participation in the upcoming IPO. Citigroup and JPMorgan may join Goldman Sachs and Morgan Stanley in preparing for the listing. However, sources indicated that discussions with Citigroup and JPMorgan do not guarantee their final participation in the IPO, and other investment banks may also get involved. Previously, on May 21, it was reported that OpenAI plans to submit a confidential IPO application to regulators soon, with investment banks including Goldman Sachs and Morgan Stanley assisting in drafting the IPO prospectus, intending to submit documents to regulators in secrecy shortly. Some insiders stated that OpenAI aims to launch its IPO as early as September, although the plans remain subject to change. According to monitoring by PolyBeats, the probability of OpenAI going public by the end of September is 29%, while the probability of going public by the end of the year is 70%.

OpenAI Discusses IPO Participation with Citigroup and JPMorgan

On May 30, 'New Stock God' Serenity published an analysis of the latest news from Foxconn's shareholder meeting, strongly recommending its subsidiary Xunxin Technology Holdings. According to the shareholder meeting, the CPO (Co-Packaged Optics) switch products are confirmed to start shipping in Q3, with a target of 10,000 units by 2026, aiming for global leadership and expecting explosive growth next year. Serenity specifically mentioned that the subsidiary responsible for advanced optical business at Foxconn is Xunxin Technology Holdings Limited. These exponential shipping volumes have not yet fully reflected in the financial reports, but they are likely to become evident in the second half of the year. This is a strategic positioning for the next super cycle, representing the next major opportunity in AI hardware. Note from BlockBeats: Serenity is a highly influential veteran trader in the WallStreetBets (WSB) section of Reddit, with a cumulative investment return rate exceeding 38 times this year. Its core research findings are consistently made publicly available for free, focusing on key supporting elements in the Nvidia AI chip supply chain. By thoroughly analyzing the indispensable 'screw' components in the chip manufacturing and packaging processes, Serenity accurately identifies critical chokepoints in the supply chain and seeks to invest in upstream targets with scarcity and bargaining power. SIVE (Sivers Semiconductors) is the most frequently mentioned stock by Serenity, having been recommended 190 times. Since its first public recommendation on March 16, 2026, it has surged 19.6 times.

[Serenity Predicts AI Hardware Investment Opportunities: Foxconn CPO Switch to Ship in Q3, Xunxin to Handle Advanced Optical Business]On May 30, 'New Stock God' Serenity published an analysis of the latest news from Foxconn's shareholder meeting, strongly recommending its subsidiary Xunxin Technology Holdings. According to the shareholder meeting, the CPO (Co-Packaged Optics) switch products are confirmed to start shipping in Q3, with a target of 10,000 units by 2026, aiming for global leadership and expecting explosive growth next year. Serenity specifically mentioned that the subsidiary responsible for advanced optical business at Foxconn is Xunxin Technology Holdings Limited. These exponential shipping volumes have not yet fully reflected in the financial reports, but they are likely to become evident in the second half of the year. This is a strategic positioning for the next super cycle, representing the next major opportunity in AI hardware. Note from BlockBeats: Serenity is a highly influential veteran trader in the WallStreetBets (WSB) section of Reddit, with a cumulative investment return rate exceeding 38 times this year. Its core research findings are consistently made publicly available for free, focusing on key supporting elements in the Nvidia AI chip supply chain. By thoroughly analyzing the indispensable 'screw' components in the chip manufacturing and packaging processes, Serenity accurately identifies critical chokepoints in the supply chain and seeks to invest in upstream targets with scarcity and bargaining power. SIVE (Sivers Semiconductors) is the most frequently mentioned stock by Serenity, having been recommended 190 times. Since its first public recommendation on March 16, 2026, it has surged 19.6 times.

Serenity Predicts AI Hardware Investment Opportunities: Foxconn CPO Switch to Ship in Q3, Xunxin to Handle Advanced Optical Business

On May 30, Axios reported that sources indicate NVIDIA is set to enter the personal computer market, with the first Windows PCs featuring its chips as the main processors expected to be unveiled next week. NVIDIA and Microsoft will showcase their collaborative results and the initial PCs equipped with these chips at two major industry events: Computex in Taipei and the Microsoft Build Developer Conference. Sources suggest that PCs with NVIDIA chips are likely to appear in Microsoft's Surface brand as well as products from other manufacturers, including Dell. Microsoft is also expected to launch software that will allow users to more easily run AI agents locally on Windows PCs.

[First Windows PCs with NVIDIA Chips Expected to Debut Next Week]On May 30, Axios reported that sources indicate NVIDIA is set to enter the personal computer market, with the first Windows PCs featuring its chips as the main processors expected to be unveiled next week. NVIDIA and Microsoft will showcase their collaborative results and the initial PCs equipped with these chips at two major industry events: Computex in Taipei and the Microsoft Build Developer Conference. Sources suggest that PCs with NVIDIA chips are likely to appear in Microsoft's Surface brand as well as products from other manufacturers, including Dell. Microsoft is also expected to launch software that will allow users to more easily run AI agents locally on Windows PCs.

First Windows PCs with NVIDIA Chips Expected to Debut Next Week

DefiLlama tweeted: "At defillama we kept finding ourselves having to price exotic tokens such as LPs that never get traded and thus:
- can't be priced through cex/dex.
- dont get listed on coingecko/cmc because no user is interested in trading them.
That's why we built our own price API."
API works by:
1. Getting prices from coingecko as a base.
2. Finding all bridged assets and pricing them as the original asset (fantom usdc = mainnet usdc).
3. Pricing all kinds of LPs (yearn, curve, uniswap, aave, balancer, compound, euler, glp...) by underlying.
4. For missing tokens we price them using DEX markets from uniswap, curve and serum.

Detail

【DeFi Llama releases token price API】DefiLlama tweeted: "At defillama we kept finding ourselves having to price exotic tokens such as LPs that never get traded and thus:
- can't be priced through cex/dex.
- dont get listed on coingecko/cmc because no user is interested in trading them.
That's why we built our own price API."
API works by:
1. Getting prices from coingecko as a base.
2. Finding all bridged assets and pricing them as the original asset (fantom usdc = mainnet usdc).
3. Pricing all kinds of LPs (yearn, curve, uniswap, aave, balancer, compound, euler, glp...) by underlying.
4. For missing tokens we price them using DEX markets from uniswap, curve and serum.

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