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On May 26, official data revealed that the NEAR Protocol recorded a privacy transaction volume of $87 million over the past 30 days, with public transaction volume at $122 million. The total transaction volume amounted to $209 million, with privacy transactions making up 41.63% of the total.

[NEAR Privacy Transaction Volume Reaches $87 Million in Last 30 Days, Accounting for 41.63% of Total Volume]On May 26, official data revealed that the NEAR Protocol recorded a privacy transaction volume of $87 million over the past 30 days, with public transaction volume at $122 million. The total transaction volume amounted to $209 million, with privacy transactions making up 41.63% of the total.

NEAR Privacy Transaction Volume Reaches $87 Million in Last 30 Days, Accounting for 41.63% of Total Volume

On May 26, data showed that Bitcoin's implied volatility has dropped to 36%, marking an eight-month low, indicating that the market expects BTC to continue fluctuating in the short term. The decline in volatility itself does not indicate the direction of the market, but current derivatives market data suggests that shorts may be overly concentrated. If BTC breaks above $82,000, it could trigger a massive short squeeze. CoinGlass's liquidation heatmap shows a significant accumulation of BTC short positions in the $78,000–$83,000 range. Meanwhile, BTC has failed to reclaim $90,000 for nearly four months, leading some shorts to establish stronger bearish expectations. Additionally, Glassnode data indicates that the 30-day options Delta Skew for BTC currently stands at 14%, suggesting a significant premium for put options compared to call options, reflecting that professional traders remain more concerned about the risk of BTC declining. The market has partially priced in the expectation of BTC retracing to $72,000, but if BTC breaks out above $82,000 with strong volume, it may trigger a more intense leveraged short covering scenario.

[Analysis: Bitcoin Shorts Overly Concentrated, Break Above $82,000 May Trigger Massive Short Squeeze]On May 26, data showed that Bitcoin's implied volatility has dropped to 36%, marking an eight-month low, indicating that the market expects BTC to continue fluctuating in the short term. The decline in volatility itself does not indicate the direction of the market, but current derivatives market data suggests that shorts may be overly concentrated. If BTC breaks above $82,000, it could trigger a massive short squeeze. CoinGlass's liquidation heatmap shows a significant accumulation of BTC short positions in the $78,000–$83,000 range. Meanwhile, BTC has failed to reclaim $90,000 for nearly four months, leading some shorts to establish stronger bearish expectations. Additionally, Glassnode data indicates that the 30-day options Delta Skew for BTC currently stands at 14%, suggesting a significant premium for put options compared to call options, reflecting that professional traders remain more concerned about the risk of BTC declining. The market has partially priced in the expectation of BTC retracing to $72,000, but if BTC breaks out above $82,000 with strong volume, it may trigger a more intense leveraged short covering scenario.

Analysis: Bitcoin Shorts Overly Concentrated, Break Above $82,000 May Trigger Massive Short Squeeze

On May 26, Goldman Sachs CEO David Solomon wrote in The New York Times that concerns about AI causing a 'mass unemployment wave' are exaggerated. He believes that the U.S. economy will continue to create more new jobs through technological transformation, just as it did during the past industrial revolution and the internet era. Solomon stated that Goldman Sachs expects AI or automation to impact about 25% of existing work hours over the next decade, with significant effects on white-collar jobs in sectors like banking, accounting, and law. A Stanford study shows that recruitment for entry-level positions in highly automated roles, such as software engineering and customer service, has declined by 16% compared to less automated industries. However, he pointed out that AI is also creating new job demands. For instance, since 2022, the construction of data centers in the U.S. has generated over 200,000 construction jobs. Goldman Sachs itself may reduce some compliance and account opening positions but will increase hiring for client-facing roles in banking, trading, and asset management. Solomon believes that AI is more likely to enhance productivity rather than directly eliminate 25% of jobs. He stated, 'Technological advancement and cultural change do not always align; being replaceable does not mean one will necessarily be replaced.' He also called for a joint effort by the government and businesses to promote large-scale retraining programs to address the changes in labor structure brought about by AI.

[Goldman Sachs CEO Refutes AI 'Job Apocalypse' Theory: AI Will Boost Productivity and Create New Jobs]On May 26, Goldman Sachs CEO David Solomon wrote in The New York Times that concerns about AI causing a 'mass unemployment wave' are exaggerated. He believes that the U.S. economy will continue to create more new jobs through technological transformation, just as it did during the past industrial revolution and the internet era. Solomon stated that Goldman Sachs expects AI or automation to impact about 25% of existing work hours over the next decade, with significant effects on white-collar jobs in sectors like banking, accounting, and law. A Stanford study shows that recruitment for entry-level positions in highly automated roles, such as software engineering and customer service, has declined by 16% compared to less automated industries. However, he pointed out that AI is also creating new job demands. For instance, since 2022, the construction of data centers in the U.S. has generated over 200,000 construction jobs. Goldman Sachs itself may reduce some compliance and account opening positions but will increase hiring for client-facing roles in banking, trading, and asset management. Solomon believes that AI is more likely to enhance productivity rather than directly eliminate 25% of jobs. He stated, 'Technological advancement and cultural change do not always align; being replaceable does not mean one will necessarily be replaced.' He also called for a joint effort by the government and businesses to promote large-scale retraining programs to address the changes in labor structure brought about by AI.

Goldman Sachs CEO Refutes AI 'Job Apocalypse' Theory: AI Will Boost Productivity and Create New Jobs

On May 26, according to monitoring by Lookonchain, a whale opened a short position of over $100 million in ETH yesterday, which has been closed with a loss of $260,000. Subsequently, the whale shifted to a long position in BTC, opening a long position of 175.04 BTC, valued at approximately $13.43 million.

[Whale Closes Over $100 Million ETH Short Position, Shifts to $13.43 Million BTC Long]On May 26, according to monitoring by Lookonchain, a whale opened a short position of over $100 million in ETH yesterday, which has been closed with a loss of $260,000. Subsequently, the whale shifted to a long position in BTC, opening a long position of 175.04 BTC, valued at approximately $13.43 million.

Whale Closes Over $100 Million ETH Short Position, Shifts to $13.43 Million BTC Long

On May 26, Ark Invest founder Cathie Wood elaborated on her Bitcoin price predictions for the next five years, including a base scenario forecast of $750,000 and a bull market scenario forecast of $1.25 million. Cathie Wood stated that the key factors driving Bitcoin's rise include its role as a substitute for gold, its attributes as an 'insurance asset,' and the ongoing increase in institutional adoption.

[Cathie Wood: Bitcoin's Bull Market Target Price of $1.25 Million in Next 5 Years]On May 26, Ark Invest founder Cathie Wood elaborated on her Bitcoin price predictions for the next five years, including a base scenario forecast of $750,000 and a bull market scenario forecast of $1.25 million. Cathie Wood stated that the key factors driving Bitcoin's rise include its role as a substitute for gold, its attributes as an 'insurance asset,' and the ongoing increase in institutional adoption.

Cathie Wood: Bitcoin's Bull Market Target Price of $1.25 Million in Next 5 Years

On May 26, according to Alternative data, the cryptocurrency Fear and Greed Index today stands at 34 (up from 30 yesterday), indicating a decrease in market 'fear' sentiment. Note: The fear index ranges from 0 to 100 and includes indicators such as volatility (25%), market trading volume (25%), social media activity (15%), market surveys (15%), Bitcoin's dominance in the overall market (10%), and Google Trends analysis (10%).

[Crypto Fear Index Rises to 34, Market 'Fear' Eases]On May 26, according to Alternative data, the cryptocurrency Fear and Greed Index today stands at 34 (up from 30 yesterday), indicating a decrease in market 'fear' sentiment. Note: The fear index ranges from 0 to 100 and includes indicators such as volatility (25%), market trading volume (25%), social media activity (15%), market surveys (15%), Bitcoin's dominance in the overall market (10%), and Google Trends analysis (10%).

Crypto Fear Index Rises to 34, Market 'Fear' Eases

On May 26, Ark Invest founder Cathie Wood elaborated on her Bitcoin price predictions for the next five years, including a base scenario forecast of $750,000 and a bull market scenario forecast of $1.25 million. Cathie Wood stated that the key factors driving Bitcoin's rise include its role as a substitute for gold, its characteristics as an 'insurance asset,' and the ongoing increase in institutional adoption.

[Cathie Wood: Bitcoin's Bull Market Target Price of $1.25 Million in Next 5 Years]On May 26, Ark Invest founder Cathie Wood elaborated on her Bitcoin price predictions for the next five years, including a base scenario forecast of $750,000 and a bull market scenario forecast of $1.25 million. Cathie Wood stated that the key factors driving Bitcoin's rise include its role as a substitute for gold, its characteristics as an 'insurance asset,' and the ongoing increase in institutional adoption.

On May 26, according to a report by Fox News on May 25 citing senior US military officials, two Iranian vessels were discovered attempting to lay mines in the Strait of Hormuz on that day. The US military struck and successfully destroyed them, while also targeting an Iranian air defense missile launch base located in Abbas Port. As of now, there has been no official response from Iran regarding this incident. The official stated that the US strikes have now "temporarily concluded" and that these actions are essentially defensive in nature rather than offensive, with the intent not to break the ceasefire.

[US Military Claims to Have Sunk Two Iranian Minesweepers in the Strait of Hormuz]On May 26, according to a report by Fox News on May 25 citing senior US military officials, two Iranian vessels were discovered attempting to lay mines in the Strait of Hormuz on that day. The US military struck and successfully destroyed them, while also targeting an Iranian air defense missile launch base located in Abbas Port. As of now, there has been no official response from Iran regarding this incident. The official stated that the US strikes have now "temporarily concluded" and that these actions are essentially defensive in nature rather than offensive, with the intent not to break the ceasefire.

US Military Claims to Have Sunk Two Iranian Minesweepers in the Strait of Hormuz

On May 26, Goldman Sachs CEO David Solomon published an opinion piece in The New York Times, stating that the panic surrounding AI leading to a 'job apocalypse and mass unemployment' is exaggerated. Solomon believes that AI will not eliminate jobs on a catastrophic scale but will instead enhance worker productivity, allowing employees to shift towards higher-value tasks and create new positions related to the management, implementation, validation, and regulation of AI systems. However, he also acknowledged that the labor market will face disruptions, noting that the U.S. economy has successfully absorbed similar technological shocks in the past, with overall employment and living standards continuing to rise. AI is likely to follow a similar path as previous technological changes—eliminating some jobs while expanding others. For instance, this year alone, major cloud service companies plan to invest $700 billion in capital expenditures, which has already led to a surge in construction jobs. Solomon cited predictions from Goldman Sachs economists that AI could automate 25% of current work hours over the next decade, with the banking, legal, accounting, software development, and customer service sectors facing the greatest impact.

[Goldman Sachs CEO Refutes AI 'Job Apocalypse' Theory, Claims AI Will Boost Productivity and Create New Jobs]On May 26, Goldman Sachs CEO David Solomon published an opinion piece in The New York Times, stating that the panic surrounding AI leading to a 'job apocalypse and mass unemployment' is exaggerated. Solomon believes that AI will not eliminate jobs on a catastrophic scale but will instead enhance worker productivity, allowing employees to shift towards higher-value tasks and create new positions related to the management, implementation, validation, and regulation of AI systems. However, he also acknowledged that the labor market will face disruptions, noting that the U.S. economy has successfully absorbed similar technological shocks in the past, with overall employment and living standards continuing to rise. AI is likely to follow a similar path as previous technological changes—eliminating some jobs while expanding others. For instance, this year alone, major cloud service companies plan to invest $700 billion in capital expenditures, which has already led to a surge in construction jobs. Solomon cited predictions from Goldman Sachs economists that AI could automate 25% of current work hours over the next decade, with the banking, legal, accounting, software development, and customer service sectors facing the greatest impact.

Goldman Sachs CEO Refutes AI 'Job Apocalypse' Theory, Claims AI Will Boost Productivity and Create New Jobs

L2BEAT data shows that as of May 1, the total locked volume of Ethereum layer 2 was $6.08 billion, a 7-day decrease of 3.26%.

Detail

【Total locked volume of Ethereum L2 network is $6.08 billion】L2BEAT data shows that as of May 1, the total locked volume of Ethereum layer 2 was $6.08 billion, a 7-day decrease of 3.26%.

Total locked volume of Ethereum L2 network is $6.08 billion

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Total locked volume of Ethereum L2 network is $6.08 billion

Descargo de responsabilidad：El contenido anterior no representa las posiciones de HTX.，HTX no ofrece ninguna recomendación de trading.。

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