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On May 28, as tensions from the Iran conflict reignited leading to a rise in oil prices and investors seeking safe havens, the dollar maintained its high after reaching a seven-week peak overnight. Following Iran's launch of drones at commercial vessels in the Strait of Hormuz, the US military conducted new strikes against Iran on Wednesday. President Trump also dismissed a report from Iran's state news agency that claimed Iran had received an informal draft agreement to restore shipping through the strait. The DXY dollar index rose by 0.2% to 99.359, having reached a peak of 99.544 overnight.

[US-Iran Tensions Resurge, Dollar Rises]On May 28, as tensions from the Iran conflict reignited leading to a rise in oil prices and investors seeking safe havens, the dollar maintained its high after reaching a seven-week peak overnight. Following Iran's launch of drones at commercial vessels in the Strait of Hormuz, the US military conducted new strikes against Iran on Wednesday. President Trump also dismissed a report from Iran's state news agency that claimed Iran had received an informal draft agreement to restore shipping through the strait. The DXY dollar index rose by 0.2% to 99.359, having reached a peak of 99.544 overnight.

US-Iran Tensions Resurge, Dollar Rises

According to a message from the Damocles Institute today, Alibaba's MindOpt solver has officially released a GPU version that fully utilizes the parallel acceleration features of GPUs and introduces new algorithms to overcome the 'long tail effect' challenge. Testing on approximately 2,000 general cases shows that MindOpt can stably solve over 99% of problem types to high precision and can even support linear programming problems with millions of variables, which have traditionally been deemed 'unsolvable.' The solver is referred to as the 'core of industrial software,' responsible for complex computations in critical fields such as power scheduling, flight planning, high-end manufacturing, and financial management. Traditional linear programming solvers are designed based on CPUs, relying on complex matrix decomposition calculations. As the problem scale increases, memory requirements can grow exponentially, and the limited parallelism of traditional solving algorithms can lead to hours of non-convergence or even outright failure.

[Alibaba's Damocles Institute Launches GPU Version of Solver, Overcoming the 'Insolvable' Challenge of Millions of Variables]According to a message from the Damocles Institute today, Alibaba's MindOpt solver has officially released a GPU version that fully utilizes the parallel acceleration features of GPUs and introduces new algorithms to overcome the 'long tail effect' challenge. Testing on approximately 2,000 general cases shows that MindOpt can stably solve over 99% of problem types to high precision and can even support linear programming problems with millions of variables, which have traditionally been deemed 'unsolvable.' The solver is referred to as the 'core of industrial software,' responsible for complex computations in critical fields such as power scheduling, flight planning, high-end manufacturing, and financial management. Traditional linear programming solvers are designed based on CPUs, relying on complex matrix decomposition calculations. As the problem scale increases, memory requirements can grow exponentially, and the limited parallelism of traditional solving algorithms can lead to hours of non-convergence or even outright failure.

Alibaba's Damocles Institute Launches GPU Version of Solver, Overcoming the 'Insolvable' Challenge of Millions of Variables

On May 28, Alibaba Qoder launched the fully managed AI Agent operating platform Cloud Agents, which provides a full-stack Agent capability including Agent foundation, model services, and runtime environment. Enterprises can directly call it via API, reducing the Agent deployment time from one month to just one day. (Sina Finance)

[Alibaba Qoder Launches Cloud Agents, Agent Deployment in Just One Day]On May 28, Alibaba Qoder launched the fully managed AI Agent operating platform Cloud Agents, which provides a full-stack Agent capability including Agent foundation, model services, and runtime environment. Enterprises can directly call it via API, reducing the Agent deployment time from one month to just one day. (Sina Finance)

Alibaba Qoder Launches Cloud Agents, Agent Deployment in Just One Day

On May 28, former President Trump filed a $10 billion defamation lawsuit against the Wall Street Journal and its parent company, News Corp, regarding a report that closely linked him to Jeffrey Epstein. The initial lawsuit on the same matter had previously been dismissed by a judge. The revised complaint was submitted to a federal court in Florida on Wednesday evening, just before the deadline set by the judge. The previous dismissal was due to the judge's determination that the plaintiffs failed to adequately prove that the report was published with 'actual malice' towards Trump, which is a high standard to meet in defamation cases involving public figures. The lawsuit targets a report published by the Wall Street Journal in July 2025, which claimed that Trump had sent Epstein a 'lewd' birthday card in 2003; Trump has repeatedly asserted that the card is a forgery.

[Trump Files $10 Billion Lawsuit Against Wall Street Journal Over Epstein Report]On May 28, former President Trump filed a $10 billion defamation lawsuit against the Wall Street Journal and its parent company, News Corp, regarding a report that closely linked him to Jeffrey Epstein. The initial lawsuit on the same matter had previously been dismissed by a judge. The revised complaint was submitted to a federal court in Florida on Wednesday evening, just before the deadline set by the judge. The previous dismissal was due to the judge's determination that the plaintiffs failed to adequately prove that the report was published with 'actual malice' towards Trump, which is a high standard to meet in defamation cases involving public figures. The lawsuit targets a report published by the Wall Street Journal in July 2025, which claimed that Trump had sent Epstein a 'lewd' birthday card in 2003; Trump has repeatedly asserted that the card is a forgery.

Trump Files $10 Billion Lawsuit Against Wall Street Journal Over Epstein Report

On May 28, the cryptocurrency market experienced a significant downturn on Thursday morning, with Bitcoin dropping below $73,000. This decline coincided with the largest single-day net outflow from the U.S. spot Bitcoin ETF since late January. Nick Ruck, director of LVRG Research, stated that the sharp drop reflects a risk-off sentiment as investors take profits after recent highs, influenced by rising U.S. Treasury yields and geopolitical news contributing to macro caution. Analysts added that the market decline is primarily due to capital rotating into traditional financial stocks, and once key price levels are breached, substantial derivatives liquidations further depress prices. Data shows that the U.S. spot Bitcoin ETF recorded a total net outflow of $733.4 million on Wednesday, marking the largest single-day outflow since January 29. Among these, BlackRock's IBIT saw a net outflow of $527.8 million, setting a record for the largest single-day outflow since the fund's inception. Additionally, other ETFs, including Grayscale's GBTC, also experienced negative outflows, with only Morgan Stanley's MSBT recording a net inflow of $4.3 million. Analysts believe that the outflow of funds is due to the unwinding of basis trades and institutional de-risking operations, while IBIT's record outflow was influenced by significant trades from the previous day. Peter Chung, head of research at Presto Research, noted that Bitcoin has exhibited a 'unique trading pattern' since mid-May, continuing to decline over the past two weeks and underperforming risk assets such as the S&P 500 and Nasdaq, primarily driven by the outflow of funds from spot Bitcoin ETFs. Analysts are closely monitoring ETF fund flow trends and Bitcoin's support level around $70,000, warning that ongoing outflows may indicate that institutions are further adjusting their crypto asset allocations. On a macro level, Asian stock markets opened lower on Thursday, with the Hong Kong Hang Seng Index and Japan's Nikkei 225 both declining, following renewed strikes between the U.S. and Iran amid a fragile ceasefire agreement.

[Bitcoin Falls Below $73,000 as BlackRock's IBIT Sees Record Outflows]On May 28, the cryptocurrency market experienced a significant downturn on Thursday morning, with Bitcoin dropping below $73,000. This decline coincided with the largest single-day net outflow from the U.S. spot Bitcoin ETF since late January. Nick Ruck, director of LVRG Research, stated that the sharp drop reflects a risk-off sentiment as investors take profits after recent highs, influenced by rising U.S. Treasury yields and geopolitical news contributing to macro caution. Analysts added that the market decline is primarily due to capital rotating into traditional financial stocks, and once key price levels are breached, substantial derivatives liquidations further depress prices. Data shows that the U.S. spot Bitcoin ETF recorded a total net outflow of $733.4 million on Wednesday, marking the largest single-day outflow since January 29. Among these, BlackRock's IBIT saw a net outflow of $527.8 million, setting a record for the largest single-day outflow since the fund's inception. Additionally, other ETFs, including Grayscale's GBTC, also experienced negative outflows, with only Morgan Stanley's MSBT recording a net inflow of $4.3 million. Analysts believe that the outflow of funds is due to the unwinding of basis trades and institutional de-risking operations, while IBIT's record outflow was influenced by significant trades from the previous day. Peter Chung, head of research at Presto Research, noted that Bitcoin has exhibited a 'unique trading pattern' since mid-May, continuing to decline over the past two weeks and underperforming risk assets such as the S&P 500 and Nasdaq, primarily driven by the outflow of funds from spot Bitcoin ETFs. Analysts are closely monitoring ETF fund flow trends and Bitcoin's support level around $70,000, warning that ongoing outflows may indicate that institutions are further adjusting their crypto asset allocations. On a macro level, Asian stock markets opened lower on Thursday, with the Hong Kong Hang Seng Index and Japan's Nikkei 225 both declining, following renewed strikes between the U.S. and Iran amid a fragile ceasefire agreement.

Bitcoin Falls Below $73,000 as BlackRock's IBIT Sees Record Outflows

On May 28, the Nikkei 225 index fell by 0.47%, closing at 64,693.12 points. The South Korean Composite Index decreased by 0.53%, ending at 8,185.25 points. (Sina Finance)

[Japanese and South Korean Stock Markets Decline]On May 28, the Nikkei 225 index fell by 0.47%, closing at 64,693.12 points. The South Korean Composite Index decreased by 0.53%, ending at 8,185.25 points. (Sina Finance)

Japanese and South Korean Stock Markets Decline

On Thursday at 20:30 Beijing time, the U.S. Bureau of Economic Analysis will release the April Personal Consumption Expenditures (PCE) Price Index report. This inflation 'report card,' which the Federal Reserve values most, is likely to show that inflation pressures have not only persisted but are also spreading to broader areas. 
Market expectations generally forecast that the year-on-year increase in the April PCE will rise to 3.8%, up from the previous value of 3.5%, marking the highest level since June 2023. Even excluding the more volatile food and energy prices, the core PCE annual rate is expected to slightly increase to 3.3%. 
The month-on-month PCE Price Index for April may record a 0.5% increase, slowing from the previous value of 0.7%; while the month-on-month core PCE, excluding food and energy, is expected to remain flat at 0.3%. 
Last month's report indicated that energy prices were the 'vanguard' of this rebound—March saw gasoline and energy product prices surge nearly 21% month-on-month, and the impact is ongoing. However, economists are more concerned about the 'contagion' of inflation. Recent signs show that inflation has begun to spread from the energy sector to the service and durable goods sectors: 
Food and logistics: The increase in food prices in April was significantly amplified due to the transmission of upstream fertilizer and logistics costs; 
Travel costs: Pressure from jet fuel prices has forced airlines to raise ticket prices, leading to two consecutive months of rising inflation in air travel services; 
AI premium: A noteworthy new variable is the explosion of demand for AI. The demand for computing power has resulted in a global shortage of storage chips, subsequently driving up the terminal prices of PCs and related hardware, contributing additional momentum to inflationary stickiness.

[April PCE Preview: Inflation May Hit Nearly Three-Year High, Fed Could Return to Hawkish Stance]On Thursday at 20:30 Beijing time, the U.S. Bureau of Economic Analysis will release the April Personal Consumption Expenditures (PCE) Price Index report. This inflation 'report card,' which the Federal Reserve values most, is likely to show that inflation pressures have not only persisted but are also spreading to broader areas. 
Market expectations generally forecast that the year-on-year increase in the April PCE will rise to 3.8%, up from the previous value of 3.5%, marking the highest level since June 2023. Even excluding the more volatile food and energy prices, the core PCE annual rate is expected to slightly increase to 3.3%. 
The month-on-month PCE Price Index for April may record a 0.5% increase, slowing from the previous value of 0.7%; while the month-on-month core PCE, excluding food and energy, is expected to remain flat at 0.3%. 
Last month's report indicated that energy prices were the 'vanguard' of this rebound—March saw gasoline and energy product prices surge nearly 21% month-on-month, and the impact is ongoing. However, economists are more concerned about the 'contagion' of inflation. Recent signs show that inflation has begun to spread from the energy sector to the service and durable goods sectors: 
Food and logistics: The increase in food prices in April was significantly amplified due to the transmission of upstream fertilizer and logistics costs; 
Travel costs: Pressure from jet fuel prices has forced airlines to raise ticket prices, leading to two consecutive months of rising inflation in air travel services; 
AI premium: A noteworthy new variable is the explosion of demand for AI. The demand for computing power has resulted in a global shortage of storage chips, subsequently driving up the terminal prices of PCs and related hardware, contributing additional momentum to inflationary stickiness.

April PCE Preview: Inflation May Hit Nearly Three-Year High, Fed Could Return to Hawkish Stance

On May 28, sources revealed that ByteDance is developing its own CPU to meet the growing demands of its artificial intelligence infrastructure. The current surge in chip prices and long-term supply shortages are limiting the company's expansion plans. This move highlights the industry's accelerated shift towards the 'inference' phase, which has significantly increased the demand for CPUs and triggered a shortage in recent months. Sources indicate that ByteDance plans to deploy its self-developed CPUs in its own servers and data centers to support internal operations, while also preparing for large-scale deployment of agent products, including the Coze platform. ByteDance is currently advancing two CPU architecture routes: one based on the Arm architecture and the other based on the open-source RISC-V instruction set architecture, to assess which design better suits its long-term data center needs. ByteDance currently procures CPUs from Intel and AMD, both of which have significantly raised prices in recent months, with quarterly increases ranging from 10% to 35%, prompting ByteDance to accelerate its internal alternatives.

[ByteDance Reportedly Developing Custom CPU to Support AI Needs]On May 28, sources revealed that ByteDance is developing its own CPU to meet the growing demands of its artificial intelligence infrastructure. The current surge in chip prices and long-term supply shortages are limiting the company's expansion plans. This move highlights the industry's accelerated shift towards the 'inference' phase, which has significantly increased the demand for CPUs and triggered a shortage in recent months. Sources indicate that ByteDance plans to deploy its self-developed CPUs in its own servers and data centers to support internal operations, while also preparing for large-scale deployment of agent products, including the Coze platform. ByteDance is currently advancing two CPU architecture routes: one based on the Arm architecture and the other based on the open-source RISC-V instruction set architecture, to assess which design better suits its long-term data center needs. ByteDance currently procures CPUs from Intel and AMD, both of which have significantly raised prices in recent months, with quarterly increases ranging from 10% to 35%, prompting ByteDance to accelerate its internal alternatives.

ByteDance Reportedly Developing Custom CPU to Support AI Needs

On May 28, according to SoSoValue data, the U.S. spot Bitcoin ETF recorded a net outflow of $733.4 million on Wednesday, marking the largest single-day capital outflow since January 29. Among them, BlackRock's IBIT experienced a net outflow of $527.8 million in a single day, the second largest since its inception.

[BlackRock's IBIT Records $527.8 Million Net Outflow, Second Largest Since Launch]On May 28, according to SoSoValue data, the U.S. spot Bitcoin ETF recorded a net outflow of $733.4 million on Wednesday, marking the largest single-day capital outflow since January 29. Among them, BlackRock's IBIT experienced a net outflow of $527.8 million in a single day, the second largest since its inception.

BlackRock's IBIT Records $527.8 Million Net Outflow, Second Largest Since Launch

火币HTX报道，5月27日，据市场消息，长鑫科技科创板IPO获上市委会议通过。

【长鑫科技科创板IPO获上市委会议通过】火币HTX报道，5月27日，据市场消息，长鑫科技科创板IPO获上市委会议通过。

长鑫科技科创板IPO获上市委会议通过

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长鑫科技科创板IPO获上市委会议通过

Disclaimer：The content above does not represent HTX's positions.，HTX does not provide any trading recommendations.。

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