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On May 30, Andrew Gault, CEO of the network infrastructure company ZeroTier, stated that the Bitcoin industry may be misdirecting its focus on the threat of quantum computing. He warned that the greatest risk may not be the compromise of wallet keys, but rather the encrypted authentication data currently transmitted between institutions and exchanges. Gault cautioned that attackers could adopt a 'collect now, decrypt later' strategy, hoarding current encrypted network traffic, authentication records, and digital signatures, and then decrypting them once quantum computing capabilities mature. He believes that the security risks associated with data transmission between institutions could pose a more severe challenge to the financial system in the future.

[The Biggest Quantum Risk to Bitcoin May Not Be Wallet Keys, But Encrypted Data Between Institutions]On May 30, Andrew Gault, CEO of the network infrastructure company ZeroTier, stated that the Bitcoin industry may be misdirecting its focus on the threat of quantum computing. He warned that the greatest risk may not be the compromise of wallet keys, but rather the encrypted authentication data currently transmitted between institutions and exchanges. Gault cautioned that attackers could adopt a 'collect now, decrypt later' strategy, hoarding current encrypted network traffic, authentication records, and digital signatures, and then decrypting them once quantum computing capabilities mature. He believes that the security risks associated with data transmission between institutions could pose a more severe challenge to the financial system in the future.

The Biggest Quantum Risk to Bitcoin May Not Be Wallet Keys, But Encrypted Data Between Institutions

On May 30, according to Coinglass data, the current crypto fear and greed index stands at 24, indicating a state of fear. Note: The fear index ranges from 0 to 100 and includes the following indicators: volatility (25%), market trading volume (25%), social media activity (15%), market surveys (15%), Bitcoin's market dominance (10%), and Google trends analysis (10%).

[Current Crypto Fear and Greed Index at 24, Indicating Fear]On May 30, according to Coinglass data, the current crypto fear and greed index stands at 24, indicating a state of fear. Note: The fear index ranges from 0 to 100 and includes the following indicators: volatility (25%), market trading volume (25%), social media activity (15%), market surveys (15%), Bitcoin's market dominance (10%), and Google trends analysis (10%).

Current Crypto Fear and Greed Index at 24, Indicating Fear

On May 30, according to HTX market data, XLM has surged over 32% in the last 24 hours, currently priced at $0.27, with a market cap reaching $13.56 billion. In related news, DTCC plans to introduce tokenized assets into Stellar (XLM) as part of its latest blockchain initiative on Wall Street.

[XLM Surges Over 32% in 24 Hours, Market Cap Reaches $13.56 Billion]On May 30, according to HTX market data, XLM has surged over 32% in the last 24 hours, currently priced at $0.27, with a market cap reaching $13.56 billion. In related news, DTCC plans to introduce tokenized assets into Stellar (XLM) as part of its latest blockchain initiative on Wall Street.

XLM Surges Over 32% in 24 Hours, Market Cap Reaches $13.56 Billion

Bitcoin Fear and Greed Index is 23. Extreme Fear.
Current Price: $73618.17.

[Bitcoin Fear and Greed Index is 23]Bitcoin Fear and Greed Index is 23. Extreme Fear.
Current Price: $73618.17.

Bitcoin Fear and Greed Index is 23

On May 30, Micron Technology's market capitalization surpassed $1.1 trillion, overtaking Berkshire Hathaway and Eli Lilly and Company, officially entering the top ten of U.S. stocks by market value. Currently, all top ten U.S. stocks are occupied by technology and AI-related companies, including NVIDIA, Microsoft, Apple, Alphabet, Amazon, TSMC, Broadcom, Meta Platforms, Tesla, and Micron Technology. Analysts believe that AI is driving a structural change in the pricing logic of capital markets. Micron's market value has increased more than eightfold over the past year, as the explosive demand for high-bandwidth memory (HBM) has transformed it from a traditional storage manufacturer into a core beneficiary of AI infrastructure. The company's latest fiscal quarter saw revenue grow by 196% year-on-year, net profit increase nearly ninefold, and gross margin rise to 74.4%. The current top ten U.S. stocks by market value almost cover key segments of the AI industry chain: NVIDIA provides computing power chips, TSMC handles advanced manufacturing, Broadcom focuses on AI networks and ASICs, Micron supplies HBM storage, Microsoft, Google, and Amazon dominate AI cloud platforms, Meta continues to expand AI capital expenditures, and Tesla bets on autonomous driving and robotics. However, the market is also beginning to pay attention to the risks behind the AI investment boom. Data shows that the capital expenditure of the 'Magnificent Seven' in the U.S. stock market is expected to exceed $700 billion for the entire year of 2026, while the commercialization returns of AI remain to be validated. Industry insiders warn that if the growth rate of AI capital expenditure slows in the future, it may trigger simultaneous downward revisions of profit expectations and valuations in related sectors. Additionally, as investments in data centers, advanced packaging, and network infrastructure continue to expand, discussions about potential overcapacity in AI infrastructure are also heating up. Analysts believe that the changes in market capitalization rankings in the U.S. reflect a concentration of capital from traditional industries towards AI infrastructure and technology platforms, but in the long run, the industry landscape will ultimately be determined by real demand and profitability.

[Top Ten U.S. Stocks Now Dominated by Tech and AI Companies]On May 30, Micron Technology's market capitalization surpassed $1.1 trillion, overtaking Berkshire Hathaway and Eli Lilly and Company, officially entering the top ten of U.S. stocks by market value. Currently, all top ten U.S. stocks are occupied by technology and AI-related companies, including NVIDIA, Microsoft, Apple, Alphabet, Amazon, TSMC, Broadcom, Meta Platforms, Tesla, and Micron Technology. Analysts believe that AI is driving a structural change in the pricing logic of capital markets. Micron's market value has increased more than eightfold over the past year, as the explosive demand for high-bandwidth memory (HBM) has transformed it from a traditional storage manufacturer into a core beneficiary of AI infrastructure. The company's latest fiscal quarter saw revenue grow by 196% year-on-year, net profit increase nearly ninefold, and gross margin rise to 74.4%. The current top ten U.S. stocks by market value almost cover key segments of the AI industry chain: NVIDIA provides computing power chips, TSMC handles advanced manufacturing, Broadcom focuses on AI networks and ASICs, Micron supplies HBM storage, Microsoft, Google, and Amazon dominate AI cloud platforms, Meta continues to expand AI capital expenditures, and Tesla bets on autonomous driving and robotics. However, the market is also beginning to pay attention to the risks behind the AI investment boom. Data shows that the capital expenditure of the 'Magnificent Seven' in the U.S. stock market is expected to exceed $700 billion for the entire year of 2026, while the commercialization returns of AI remain to be validated. Industry insiders warn that if the growth rate of AI capital expenditure slows in the future, it may trigger simultaneous downward revisions of profit expectations and valuations in related sectors. Additionally, as investments in data centers, advanced packaging, and network infrastructure continue to expand, discussions about potential overcapacity in AI infrastructure are also heating up. Analysts believe that the changes in market capitalization rankings in the U.S. reflect a concentration of capital from traditional industries towards AI infrastructure and technology platforms, but in the long run, the industry landscape will ultimately be determined by real demand and profitability.

Top Ten U.S. Stocks Now Dominated by Tech and AI Companies

On May 30, Circle released the "Post-Quantum Security White Paper," proposing a phased roadmap for quantum resilience focused on the long-term security of the Arc blockchain ecosystem. The roadmap covers various technical directions including quantum secure signatures, private execution environments, validator hardening, infrastructure migration, and account recovery. It applies to core components such as the Arc network, USDC, smart contracts, and validators, with plans to provide post-quantum signature support upon the launch of the Arc mainnet in 2026.

[Circle Releases Post-Quantum Security White Paper, Proposes Phased Roadmap for Quantum Resilience in Arc Ecosystem]On May 30, Circle released the "Post-Quantum Security White Paper," proposing a phased roadmap for quantum resilience focused on the long-term security of the Arc blockchain ecosystem. The roadmap covers various technical directions including quantum secure signatures, private execution environments, validator hardening, infrastructure migration, and account recovery. It applies to core components such as the Arc network, USDC, smart contracts, and validators, with plans to provide post-quantum signature support upon the launch of the Arc mainnet in 2026.

Circle Releases Post-Quantum Security White Paper, Proposes Phased Roadmap for Quantum Resilience in Arc Ecosystem

On May 30, Bloomberg senior ETF analyst James Seyffart revealed that Grayscale Investments has submitted the fifth amendment (Amendment No. 5) for the Hyperliquid Staking ETF to the U.S. SEC, with the fund code remaining HYPG.

[Grayscale Submits Fifth Amendment for Hyperliquid Staking ETF]On May 30, Bloomberg senior ETF analyst James Seyffart revealed that Grayscale Investments has submitted the fifth amendment (Amendment No. 5) for the Hyperliquid Staking ETF to the U.S. SEC, with the fund code remaining HYPG.

Grayscale Submits Fifth Amendment for Hyperliquid Staking ETF

On May 30, according to monitoring by Farside, the US spot Bitcoin ETF experienced a net outflow of $125.3 million yesterday, marking ten consecutive trading days of net outflows.

[US Spot Bitcoin ETF Sees $125.3 Million Net Outflow for Ten Consecutive Trading Days]On May 30, according to monitoring by Farside, the US spot Bitcoin ETF experienced a net outflow of $125.3 million yesterday, marking ten consecutive trading days of net outflows.

US Spot Bitcoin ETF Sees $125.3 Million Net Outflow for Ten Consecutive Trading Days

On May 30, according to monitoring data from Farside Investors, the US spot Ethereum ETF experienced a net outflow of $17.91 million yesterday.

[US Spot Ethereum ETF Sees Net Outflow of $17.91 Million]On May 30, according to monitoring data from Farside Investors, the US spot Ethereum ETF experienced a net outflow of $17.91 million yesterday.

US Spot Ethereum ETF Sees Net Outflow of $17.91 Million

On May 29, JPMorgan announced that it has raised Dell's (DELL.N) target price from $280 to $500. (Jin Shi)

[JPMorgan Raises Dell's Target Price from $280 to $500]On May 29, JPMorgan announced that it has raised Dell's (DELL.N) target price from $280 to $500. (Jin Shi)

JPMorgan Raises Dell's Target Price from $280 to $500

I vibe-coded an Android app using Google

With Ozak AI Now Above $7 Million Raised, Analysts Warn That Remaining Presale Allocation Could Shrink Rapidly as Late Buyers Rush To Secure Positions.

Weekly Token Unlocks: Sahara Unlocks Tokens Equivalent to 4.1% of Circulating Supply

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$2 Billion Write-Off: Manus Plans Hong Kong IPO for a Comeback?

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JPMorgan Raises Dell's Target Price from $280 to $500

Disclaimer：Il contenuto di cui sopra non rappresenta le posizioni di HTX.，HTX non fornisce alcuna raccomandazione di trading.。

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