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On June 24, according to official news, the Smart Allocator mechanism of the decentralized stablecoin USDD has generated a cumulative investment return of $20.016 million for users. Smart Allocator is the profit-sharing mechanism of USDD, which invests in quality projects to obtain returns such as interest and platform rewards, and returns the profits to users. All operations are transparent and publicly visible on the blockchain.

[USDD Smart Allocator Achieves Over $20 Million in Cumulative Investment Returns]On June 24, according to official news, the Smart Allocator mechanism of the decentralized stablecoin USDD has generated a cumulative investment return of $20.016 million for users. Smart Allocator is the profit-sharing mechanism of USDD, which invests in quality projects to obtain returns such as interest and platform rewards, and returns the profits to users. All operations are transparent and publicly visible on the blockchain.

USDD Smart Allocator Achieves Over $20 Million in Cumulative Investment Returns

On June 24, the Wall Street Journal reported that Iranian diplomats have been studying 'The Art of the Deal,' co-authored by Trump and journalist Tony Schwartz in 1987, due to Trump's unconventional style. The book suggests that negotiators make extreme and unpredictable demands to create anxiety and force opponents to concede. Iranian negotiators have told intermediaries that they consulted a team of psychologists to help understand Trump's mindset and predict his public reaction to Iranian proposals. Political analysts and mediators indicate that Trump's high-profile and tough statements have yet to elicit additional concessions from Iran. Mohammad Amiri, an Iran expert at the Wilson Center in Washington, stated, 'Trump is employing strategies from 'The Art of the Deal' to test the other side's resolve through extreme threats. But the Iranians are very aware of his tactics.' A source familiar with the Iranian diplomatic negotiations in Switzerland noted that there are no psychologists on the Iranian negotiating team, and they prefer to avoid speculating on Trump's motivations or decisions from a psychological perspective.

[Iran Studies 'The Art of the Deal' to Decode Trump's Negotiation Tactics]On June 24, the Wall Street Journal reported that Iranian diplomats have been studying 'The Art of the Deal,' co-authored by Trump and journalist Tony Schwartz in 1987, due to Trump's unconventional style. The book suggests that negotiators make extreme and unpredictable demands to create anxiety and force opponents to concede. Iranian negotiators have told intermediaries that they consulted a team of psychologists to help understand Trump's mindset and predict his public reaction to Iranian proposals. Political analysts and mediators indicate that Trump's high-profile and tough statements have yet to elicit additional concessions from Iran. Mohammad Amiri, an Iran expert at the Wilson Center in Washington, stated, 'Trump is employing strategies from 'The Art of the Deal' to test the other side's resolve through extreme threats. But the Iranians are very aware of his tactics.' A source familiar with the Iranian diplomatic negotiations in Switzerland noted that there are no psychologists on the Iranian negotiating team, and they prefer to avoid speculating on Trump's motivations or decisions from a psychological perspective.

Iran Studies 'The Art of the Deal' to Decode Trump's Negotiation Tactics

On June 24, according to Saudi Arabia's Al Arabiya television, Pakistan stated that the technical talks between the United States and Iran will resume next week.

[Pakistan: Technical Talks Between the U.S. and Iran to Resume Next Week]On June 24, according to Saudi Arabia's Al Arabiya television, Pakistan stated that the technical talks between the United States and Iran will resume next week.

Pakistan: Technical Talks Between the U.S. and Iran to Resume Next Week

On June 24, a report by derivatives and quantitative strategist Gordon Schneider published on Smartkarma indicated that the 2x leveraged exchange-traded funds (ETFs) tracking Samsung Electronics and SK Hynix would need to rise approximately 33% to return to the levels seen on June 22, which implies that their stocks must rebound by about 16.5%. The report noted that on Tuesday, both Samsung Electronics and SK Hynix saw their stock prices drop by double digits, leading to a nearly 25% decline in the related ETF prices, with the Samsung 2x leveraged ETF having accumulated a 5.4% loss since its launch on May 27. He stated that the newly launched single-stock 2x leveraged ETFs in South Korea can enhance returns in trending markets, but their value can be quickly eroded during periods of high market volatility, making them most suitable for short-term tactical momentum investing.

[Analyst: Samsung Electronics and SK Hynix Leveraged ETFs Face Reality Check]On June 24, a report by derivatives and quantitative strategist Gordon Schneider published on Smartkarma indicated that the 2x leveraged exchange-traded funds (ETFs) tracking Samsung Electronics and SK Hynix would need to rise approximately 33% to return to the levels seen on June 22, which implies that their stocks must rebound by about 16.5%. The report noted that on Tuesday, both Samsung Electronics and SK Hynix saw their stock prices drop by double digits, leading to a nearly 25% decline in the related ETF prices, with the Samsung 2x leveraged ETF having accumulated a 5.4% loss since its launch on May 27. He stated that the newly launched single-stock 2x leveraged ETFs in South Korea can enhance returns in trending markets, but their value can be quickly eroded during periods of high market volatility, making them most suitable for short-term tactical momentum investing.

Analyst: Samsung Electronics and SK Hynix Leveraged ETFs Face Reality Check

On June 24, the Korean Tax Tribunal recently ruled for a reinvestigation regarding a dispute over gift tax on Bitcoin. The case involves whether Bitcoin transferred through a spouse's overseas exchange account constitutes a gift, drawing significant attention from the cryptocurrency tax community. The facts of the case reveal that taxpayer A transferred 67 Bitcoins stored in a personal hardware cold wallet (Ledger) through spouse B's overseas exchange account due to regulatory restrictions from Korea's Travel Rule, completing the transfer in just 2 to 8 minutes before selling the Bitcoin to purchase property. The tax authorities deemed this action as a gift between spouses and imposed gift tax on A. A appealed, arguing that the Bitcoin was personal property held since before 2014 and submitted a memorandum of understanding with the spouse, which stated that if the Bitcoin appreciated, property would be purchased, and 13 Bitcoins would be gifted to the spouse as compensation. A contended that classifying the transfer as a gift based solely on the brief passage through the spouse's account was a mischaracterization. After review, the Tax Tribunal found that A failed to adequately submit key evidence such as the memorandum of understanding, gift contract, and photos of the hardware wallet during the tax investigation, resulting in procedural flaws. Additionally, the distribution method of the 80 Bitcoins, with 67 transferred to A's account and 13 retained in the spouse's name, was consistent with A's statements. Consequently, the Tribunal ruled that a reinvestigation is necessary regarding the actual ownership of the hardware wallet and the substantive ownership of the digital assets. This case is seen as a landmark in Korea's cryptocurrency tax practices, directly addressing the challenges of asset ownership determination for cold wallet assets and the tax characterization of inter-account transfers.

[Korean Tax Tribunal: Reinvestigation Required for Gift Tax on Bitcoin Transferred via Spouse's Account]On June 24, the Korean Tax Tribunal recently ruled for a reinvestigation regarding a dispute over gift tax on Bitcoin. The case involves whether Bitcoin transferred through a spouse's overseas exchange account constitutes a gift, drawing significant attention from the cryptocurrency tax community. The facts of the case reveal that taxpayer A transferred 67 Bitcoins stored in a personal hardware cold wallet (Ledger) through spouse B's overseas exchange account due to regulatory restrictions from Korea's Travel Rule, completing the transfer in just 2 to 8 minutes before selling the Bitcoin to purchase property. The tax authorities deemed this action as a gift between spouses and imposed gift tax on A. A appealed, arguing that the Bitcoin was personal property held since before 2014 and submitted a memorandum of understanding with the spouse, which stated that if the Bitcoin appreciated, property would be purchased, and 13 Bitcoins would be gifted to the spouse as compensation. A contended that classifying the transfer as a gift based solely on the brief passage through the spouse's account was a mischaracterization. After review, the Tax Tribunal found that A failed to adequately submit key evidence such as the memorandum of understanding, gift contract, and photos of the hardware wallet during the tax investigation, resulting in procedural flaws. Additionally, the distribution method of the 80 Bitcoins, with 67 transferred to A's account and 13 retained in the spouse's name, was consistent with A's statements. Consequently, the Tribunal ruled that a reinvestigation is necessary regarding the actual ownership of the hardware wallet and the substantive ownership of the digital assets. This case is seen as a landmark in Korea's cryptocurrency tax practices, directly addressing the challenges of asset ownership determination for cold wallet assets and the tax characterization of inter-account transfers.

Korean Tax Tribunal: Reinvestigation Required for Gift Tax on Bitcoin Transferred via Spouse's Account

On June 24, market analysts recently discussed the sustainability of AI capital expenditures among supercomputing firms, revealing significant differences in opinion. Serenity believes that Amazon is currently the most compelling investment target in supercomputing. The rationale is that Amazon has a massive workforce of approximately 1.57 million employees, allowing AI capital expenditures to be directly converted into internal cost reductions—through automating labor with large language models, optimizing delivery with autonomous driving, and reducing operational costs with warehouse robots. This is further supported by the expansion of AWS computing power (with in-house Trainium chips) and potential revenue from chip sales, creating a clear commercial pathway. Google is ranked second, with AI investments supported by defensive search moats, Google Cloud revenue, and advertising optimization, although its physical AI layout is relatively weak. Microsoft and Meta are seen as having yet to clearly communicate the necessity of their capital expenditures to the market; Microsoft’s Maia chip progress is lagging, and its AI strategy is constrained by investments in OpenAI, leading to low market sentiment. However, dissenting voices cannot be ignored. Some argue that the ultimate beneficiaries of the current large-scale capital expenditures by supercomputing firms are largely semiconductor companies like Nvidia, which are continuously compressing the profit margins of supercomputing itself. If supercomputing firms lose the motivation to expand expenditures, or if revenue growth for downstream model companies like Anthropic falls short of expectations, the current market valuation system based on AI capital expenditure narratives may face sudden re-evaluation risks. Serenity emphasizes that all supercomputing firms are currently competing to capture the 'leading large model effect'—the platform with the strongest model will continue to accumulate training data and expand capability advantages, and this structural gap may be solidifying, which is a deep-seated motivation driving all players to accelerate their construction efforts.

[Serenity: Amazon Represents the Clearest Logic for Supercomputing AI Investment, but Erosion of Supercomputing Profits by Semiconductors May Trigger Capital Expenditure Inflection Risk]On June 24, market analysts recently discussed the sustainability of AI capital expenditures among supercomputing firms, revealing significant differences in opinion. Serenity believes that Amazon is currently the most compelling investment target in supercomputing. The rationale is that Amazon has a massive workforce of approximately 1.57 million employees, allowing AI capital expenditures to be directly converted into internal cost reductions—through automating labor with large language models, optimizing delivery with autonomous driving, and reducing operational costs with warehouse robots. This is further supported by the expansion of AWS computing power (with in-house Trainium chips) and potential revenue from chip sales, creating a clear commercial pathway. Google is ranked second, with AI investments supported by defensive search moats, Google Cloud revenue, and advertising optimization, although its physical AI layout is relatively weak. Microsoft and Meta are seen as having yet to clearly communicate the necessity of their capital expenditures to the market; Microsoft’s Maia chip progress is lagging, and its AI strategy is constrained by investments in OpenAI, leading to low market sentiment. However, dissenting voices cannot be ignored. Some argue that the ultimate beneficiaries of the current large-scale capital expenditures by supercomputing firms are largely semiconductor companies like Nvidia, which are continuously compressing the profit margins of supercomputing itself. If supercomputing firms lose the motivation to expand expenditures, or if revenue growth for downstream model companies like Anthropic falls short of expectations, the current market valuation system based on AI capital expenditure narratives may face sudden re-evaluation risks. Serenity emphasizes that all supercomputing firms are currently competing to capture the 'leading large model effect'—the platform with the strongest model will continue to accumulate training data and expand capability advantages, and this structural gap may be solidifying, which is a deep-seated motivation driving all players to accelerate their construction efforts.

Serenity: Amazon Represents the Clearest Logic for Supercomputing AI Investment, but Erosion of Supercomputing Profits by Semiconductors May Trigger Capital Expenditure Inflection Risk

On June 24, Bank of Japan Governor Kazuo Ueda stated in a speech that the central bank will continue to raise interest rates based on economic, price, and financial conditions. He anticipates achieving the 2% inflation target in the second half of this fiscal year and into the next fiscal year. Regarding the path of interest rate hikes, Ueda indicated that the timing and pace of future increases will depend on the likelihood and risks associated with baseline forecasts. He emphasized that despite recent rate hikes, Japan's financial environment remains accommodative, continuing to support economic activity. On inflation risks, Ueda warned that under high oil prices, potential inflation could exceed the Bank of Japan's 2% target, and high oil prices could also lead to broader increases in commodity prices. He also noted that the timing and pace of rate hikes will be assessed in conjunction with the impact of conflicts in the Middle East. Following the announcement, the dollar fell nearly 10 points against the yen, currently reported at 161.66, indicating a warming market expectation for Bank of Japan rate hikes.

[Bank of Japan Governor: Will Continue Rate Hikes, High Oil Prices May Push Inflation Above 2% Target]On June 24, Bank of Japan Governor Kazuo Ueda stated in a speech that the central bank will continue to raise interest rates based on economic, price, and financial conditions. He anticipates achieving the 2% inflation target in the second half of this fiscal year and into the next fiscal year. Regarding the path of interest rate hikes, Ueda indicated that the timing and pace of future increases will depend on the likelihood and risks associated with baseline forecasts. He emphasized that despite recent rate hikes, Japan's financial environment remains accommodative, continuing to support economic activity. On inflation risks, Ueda warned that under high oil prices, potential inflation could exceed the Bank of Japan's 2% target, and high oil prices could also lead to broader increases in commodity prices. He also noted that the timing and pace of rate hikes will be assessed in conjunction with the impact of conflicts in the Middle East. Following the announcement, the dollar fell nearly 10 points against the yen, currently reported at 161.66, indicating a warming market expectation for Bank of Japan rate hikes.

Bank of Japan Governor: Will Continue Rate Hikes, High Oil Prices May Push Inflation Above 2% Target

On June 24, according to Beijing Business Today, during the Summer Davos 2026, CATL founder Zeng Yuqun stated: "China's power grid and energy system are very mature. For the entire industry, the total power consumption of newly added artificial intelligence data centers is not significant compared to the total electricity consumption. The issue lies in whether data centers use fossil fuels or renewable energy. If we consider data centers as a new category, supplying them with renewable energy will pose some difficulties and challenges, as we need sufficient space to build photovoltaic panels, wind power generation, and energy storage facilities. It is commendable that China requires new data centers to use 80% renewable energy; China has the capability to address this issue."

[CATL Founder Zeng Yuqun: AI Power Consumption Is Not as Scary as Imagined]On June 24, according to Beijing Business Today, during the Summer Davos 2026, CATL founder Zeng Yuqun stated: "China's power grid and energy system are very mature. For the entire industry, the total power consumption of newly added artificial intelligence data centers is not significant compared to the total electricity consumption. The issue lies in whether data centers use fossil fuels or renewable energy. If we consider data centers as a new category, supplying them with renewable energy will pose some difficulties and challenges, as we need sufficient space to build photovoltaic panels, wind power generation, and energy storage facilities. It is commendable that China requires new data centers to use 80% renewable energy; China has the capability to address this issue."

CATL Founder Zeng Yuqun: AI Power Consumption Is Not as Scary as Imagined

On June 24, Finance Feeds reported that the American fast food chain Steak 'n Shake stated that since it began accepting Bitcoin payments in May 2025, its payment processing fees have decreased by approximately 50% compared to traditional credit card payments. Company executives noted that this is not only an innovation in brand marketing but also directly reduces payment costs in high-frequency, low-value dining scenarios. Steak 'n Shake previously cited data indicating that if all credit card users switched to Bitcoin payments, it could save about $6 million annually.

[Fast Food Chain Steak 'n Shake: Bitcoin Payments Can Save 50% in Fees]On June 24, Finance Feeds reported that the American fast food chain Steak 'n Shake stated that since it began accepting Bitcoin payments in May 2025, its payment processing fees have decreased by approximately 50% compared to traditional credit card payments. Company executives noted that this is not only an innovation in brand marketing but also directly reduces payment costs in high-frequency, low-value dining scenarios. Steak 'n Shake previously cited data indicating that if all credit card users switched to Bitcoin payments, it could save about $6 million annually.

Fast Food Chain Steak 'n Shake: Bitcoin Payments Can Save 50% in Fees

火币HTX报道，在岸人民币兑美元6月23日16:30收盘报6.7865，较上一交易日下跌102点。

【在岸人民币兑美元6月23日16:30收盘报6.7865】火币HTX报道，在岸人民币兑美元6月23日16:30收盘报6.7865，较上一交易日下跌102点。

在岸人民币兑美元6月23日16:30收盘报6.7865

Ethereum Advances Glamsterdam Upgrade Ahead of Planned 2026 Launch

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Optical Chips: Collective Capacity Expansion

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Japan's AI Dark Horse Emerges: How a 7B Small Model Challenges Fable and Mythos?

Article

Bank of America Raises Intel (INTC.US) Price Target from $135 to $160

Bank of America Raises Micron Technology Target Price to $1500

在岸人民币兑美元6月23日16:30收盘报6.7865

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