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On June 17, the capital market commentary journal Kobeissi Letter posted on platform X, stating that SpaceX is driving a surge in tokenized asset trading. In the past 30 days, the trading volume of on-chain tokenized stocks reached $4.3 billion, setting a new monthly record and growing over 140% year-to-date. Following the SpaceX IPO on June 15, the 24-hour spot trading volume of tokenized stocks on Solana surpassed $100 million for the first time, with Solana at one point capturing 99% of the market share, and Jupiter becoming the platform with the highest trading volume for tokenized SpaceX stocks. The cumulative trading volume of on-chain tokenized stocks has surpassed $20 billion for the first time.

[On-Chain Tokenized Stocks Reach $20 Billion in Cumulative Trading Volume, Driven by SpaceX IPO]On June 17, the capital market commentary journal Kobeissi Letter posted on platform X, stating that SpaceX is driving a surge in tokenized asset trading. In the past 30 days, the trading volume of on-chain tokenized stocks reached $4.3 billion, setting a new monthly record and growing over 140% year-to-date. Following the SpaceX IPO on June 15, the 24-hour spot trading volume of tokenized stocks on Solana surpassed $100 million for the first time, with Solana at one point capturing 99% of the market share, and Jupiter becoming the platform with the highest trading volume for tokenized SpaceX stocks. The cumulative trading volume of on-chain tokenized stocks has surpassed $20 billion for the first time.

On-Chain Tokenized Stocks Reach $20 Billion in Cumulative Trading Volume, Driven by SpaceX IPO

On June 17, Zhipu (02513.HK) announced the launch and open-sourcing of GLM-5.2. In the CodeArena front-end development evaluation system, which involved blind testing by millions of users globally, GLM-5.2 achieved the top performance among globally available models. Designed specifically for long-range task capabilities, GLM-5.2 features include: Solid1M context for stable support of long-range tasks; enhanced usability and practical coding abilities; extreme infrastructure optimization, running on domestic computing platforms from Day 0; and an MIT open-source license with no geographical restrictions, promoting technological equality across borders. The 1M context endows GLM-5.2 with long-range delivery capabilities, with multiple long-range task benchmarks indicating that its performance ranks between Claude Opus 4.7 and 4.8, making it the highest-ranked open-source model. The online inference of GLM-5.2 relies on several domestic computing platforms, having completed inference adaptation with Huawei Ascend, PingTouGe, Moore Threads, Cambricon, Kunlun Core, Muxi, Haiguang, and Birun on Day 0, achieving stable operation with high throughput, low latency, and large concurrency on domestic chip clusters. It is expected that after the launch of the Ascend 950 super node in the second half of the year, it will also serve as a strong computing foundation for GLM-5.2. --------------------------------- Click the link below to join the Beating · Feishu AI news channel, which monitors global AI hotspots and news 24/7.

[Zhipu Launches and Open Sources GLM-5.2, Designed for Long-Range Task Capabilities]On June 17, Zhipu (02513.HK) announced the launch and open-sourcing of GLM-5.2. In the CodeArena front-end development evaluation system, which involved blind testing by millions of users globally, GLM-5.2 achieved the top performance among globally available models. Designed specifically for long-range task capabilities, GLM-5.2 features include: Solid1M context for stable support of long-range tasks; enhanced usability and practical coding abilities; extreme infrastructure optimization, running on domestic computing platforms from Day 0; and an MIT open-source license with no geographical restrictions, promoting technological equality across borders. The 1M context endows GLM-5.2 with long-range delivery capabilities, with multiple long-range task benchmarks indicating that its performance ranks between Claude Opus 4.7 and 4.8, making it the highest-ranked open-source model. The online inference of GLM-5.2 relies on several domestic computing platforms, having completed inference adaptation with Huawei Ascend, PingTouGe, Moore Threads, Cambricon, Kunlun Core, Muxi, Haiguang, and Birun on Day 0, achieving stable operation with high throughput, low latency, and large concurrency on domestic chip clusters. It is expected that after the launch of the Ascend 950 super node in the second half of the year, it will also serve as a strong computing foundation for GLM-5.2. --------------------------------- Click the link below to join the Beating · Feishu AI news channel, which monitors global AI hotspots and news 24/7.

Zhipu Launches and Open Sources GLM-5.2, Designed for Long-Range Task Capabilities

On June 17, Robotech (300757) announced that its wholly-owned subsidiary FSG is one of the partners collaborating with NVIDIA to develop manufacturing and testing solutions for next-generation Co-Packaged Optics (CPO) and optical interconnect technologies. This initiative aims to accelerate the industrialization of next-generation silicon photonic devices and optical engines to meet AI deployment demands. Following this news, as of 09:23 during the bidding phase today, Robotech's stock was priced at 695.00 yuan, an increase of 45.00 yuan from the previous closing price, representing a rise of 6.92%, with an average price of 650.00 yuan and a market capitalization of 116.49 billion yuan. The opening bidding price briefly hit the limit up (780.00 yuan, or +20%). However, the company also issued a risk warning in the announcement: the related next-generation products and technologies are still in the joint development phase with clients and have not yet been commercialized. The company currently has no orders on hand and has not generated related sales revenue, and it is expected that there will not be a significant impact on the main business and operating performance in the near term. Future processes such as market promotion, customer validation, and large-scale production all carry uncertainties.

[Robotech Discloses Subsidiary Collaboration with NVIDIA on Co-Packaged Optics Project, Stock Hits Limit Up During Bidding Phase]On June 17, Robotech (300757) announced that its wholly-owned subsidiary FSG is one of the partners collaborating with NVIDIA to develop manufacturing and testing solutions for next-generation Co-Packaged Optics (CPO) and optical interconnect technologies. This initiative aims to accelerate the industrialization of next-generation silicon photonic devices and optical engines to meet AI deployment demands. Following this news, as of 09:23 during the bidding phase today, Robotech's stock was priced at 695.00 yuan, an increase of 45.00 yuan from the previous closing price, representing a rise of 6.92%, with an average price of 650.00 yuan and a market capitalization of 116.49 billion yuan. The opening bidding price briefly hit the limit up (780.00 yuan, or +20%). However, the company also issued a risk warning in the announcement: the related next-generation products and technologies are still in the joint development phase with clients and have not yet been commercialized. The company currently has no orders on hand and has not generated related sales revenue, and it is expected that there will not be a significant impact on the main business and operating performance in the near term. Future processes such as market promotion, customer validation, and large-scale production all carry uncertainties.

Robotech Discloses Subsidiary Collaboration with NVIDIA on Co-Packaged Optics Project, Stock Hits Limit Up During Bidding Phase

HTX data monitoring shows that BTC has broken through 66,000 USDT, currently reported at 66,001.99 USDT, with a 24H decline of 0.64%.

【BTC breaks through 66000 USDT】HTX data monitoring shows that BTC has broken through 66,000 USDT, currently reported at 66,001.99 USDT, with a 24H decline of 0.64%.

BTC breaks through 66000 USDT

On June 17, Zhipu (02513.HK) announced the launch and open-source release of GLM-5.2. In the CodeArena front-end development evaluation system, which involved blind testing by millions of users worldwide, GLM-5.2 achieved the top performance among globally available models. Designed specifically for long-range task capabilities, GLM-5.2 features include: Solid1M context for stable support of long-range tasks; enhanced usability with improved coding abilities; and extreme infrastructure optimization, running on domestic computing platforms from Day 0. Under the MIT open-source license, it has no geographical restrictions, promoting technological equity across borders. The 1M context enables GLM-5.2's long-range delivery capabilities, with multiple long-range task benchmarks indicating its performance is between Claude Opus 4.7 and 4.8, making it the highest-ranked open-source model. The online inference of GLM-5.2 relies on several domestic computing platforms, having completed inference adaptation on Day 0 with Huawei Ascend, Pingtouge, Moore Threads, Cambricon, Kunlun Core, Muxi, Haiguang, and Birun, achieving stable operation with high throughput, low latency, and large concurrency on domestic chip clusters. It is expected that after the launch of the Ascend 950 super node in the second half of the year, it will also serve as a strong computing foundation for GLM-5.2. (Jinshi)

[Zhipu: Launches and Open Sources GLM-5.2 Today]On June 17, Zhipu (02513.HK) announced the launch and open-source release of GLM-5.2. In the CodeArena front-end development evaluation system, which involved blind testing by millions of users worldwide, GLM-5.2 achieved the top performance among globally available models. Designed specifically for long-range task capabilities, GLM-5.2 features include: Solid1M context for stable support of long-range tasks; enhanced usability with improved coding abilities; and extreme infrastructure optimization, running on domestic computing platforms from Day 0. Under the MIT open-source license, it has no geographical restrictions, promoting technological equity across borders. The 1M context enables GLM-5.2's long-range delivery capabilities, with multiple long-range task benchmarks indicating its performance is between Claude Opus 4.7 and 4.8, making it the highest-ranked open-source model. The online inference of GLM-5.2 relies on several domestic computing platforms, having completed inference adaptation on Day 0 with Huawei Ascend, Pingtouge, Moore Threads, Cambricon, Kunlun Core, Muxi, Haiguang, and Birun, achieving stable operation with high throughput, low latency, and large concurrency on domestic chip clusters. It is expected that after the launch of the Ascend 950 super node in the second half of the year, it will also serve as a strong computing foundation for GLM-5.2. (Jinshi)

Zhipu: Launches and Open Sources GLM-5.2 Today

On June 17, Polymarket CEO Shayne Coplan announced that the platform has reached its 6th anniversary. Reflecting on the vision that launched the project and the evolution of the industry, Coplan expressed gratitude for the opportunity to continue working around the concept of 'Information Markets' and stated that it is 'astonishing' to see the global acceptance of this idea, though he noted that the industry still has a long development path ahead. He also shared a historical post from June 2020 when Polymarket launched its public beta, which focused on on-chain information markets settled in USDC, covering topics such as the COVID-19 pandemic, politics, and cryptocurrency, and was described as 'an unprecedented trading experience on Ethereum.' Analysts point out that the predictive market sector represented by Polymarket has been expanding in recent years, evolving from early experimental crypto products to broader information pricing and event trading tools.

[Polymarket CEO Celebrates 6th Anniversary of Platform: Information Markets are Being 'Chased' by the World]On June 17, Polymarket CEO Shayne Coplan announced that the platform has reached its 6th anniversary. Reflecting on the vision that launched the project and the evolution of the industry, Coplan expressed gratitude for the opportunity to continue working around the concept of 'Information Markets' and stated that it is 'astonishing' to see the global acceptance of this idea, though he noted that the industry still has a long development path ahead. He also shared a historical post from June 2020 when Polymarket launched its public beta, which focused on on-chain information markets settled in USDC, covering topics such as the COVID-19 pandemic, politics, and cryptocurrency, and was described as 'an unprecedented trading experience on Ethereum.' Analysts point out that the predictive market sector represented by Polymarket has been expanding in recent years, evolving from early experimental crypto products to broader information pricing and event trading tools.

Polymarket CEO Celebrates 6th Anniversary of Platform: Information Markets are Being 'Chased' by the World

On June 17, FBI Director Kash Patel announced that the FBI successfully thwarted a coordinated terrorist attack plot against the White House. The plot was scheduled to be executed on June 14 during Trump’s 80th birthday celebration and the UFC 'Freedom 250' fight, which was attended by approximately 4,300 people, including 1,200 active-duty military personnel. The conspiracy was revealed to have three phases: the first phase involved a drone attack loaded with explosives targeting buildings around the White House to create mass chaos; the second phase aimed to trigger a large-scale evacuation of the crowd due to panic, directing fleeing individuals into a pre-set area where a team of snipers would open fire; the third phase involved a surprise attack on the White House entrance amid the chaos. The plot was timely uncovered due to a relative of one of the involved individuals alerting the authorities. The FBI obtained threat intelligence on June 10—four days before the planned attack—and traced it to an informal network operating through the Signal encrypted communication app. A total of 23 individuals have been confirmed as part of this network, with five suspects arrested in Ohio, Missouri, and California. U.S. Secret Service Director Sean K. O'Brien stated that the Secret Service is working around the clock to track all individuals involved. Trump himself commented to reporters on Tuesday while attending the G7 summit in France that he has not yet received a formal briefing on the thwarted plot.

[FBI Foils Terror Plot Against Trump, 23 Individuals Involved]On June 17, FBI Director Kash Patel announced that the FBI successfully thwarted a coordinated terrorist attack plot against the White House. The plot was scheduled to be executed on June 14 during Trump’s 80th birthday celebration and the UFC 'Freedom 250' fight, which was attended by approximately 4,300 people, including 1,200 active-duty military personnel. The conspiracy was revealed to have three phases: the first phase involved a drone attack loaded with explosives targeting buildings around the White House to create mass chaos; the second phase aimed to trigger a large-scale evacuation of the crowd due to panic, directing fleeing individuals into a pre-set area where a team of snipers would open fire; the third phase involved a surprise attack on the White House entrance amid the chaos. The plot was timely uncovered due to a relative of one of the involved individuals alerting the authorities. The FBI obtained threat intelligence on June 10—four days before the planned attack—and traced it to an informal network operating through the Signal encrypted communication app. A total of 23 individuals have been confirmed as part of this network, with five suspects arrested in Ohio, Missouri, and California. U.S. Secret Service Director Sean K. O'Brien stated that the Secret Service is working around the clock to track all individuals involved. Trump himself commented to reporters on Tuesday while attending the G7 summit in France that he has not yet received a formal briefing on the thwarted plot.

FBI Foils Terror Plot Against Trump, 23 Individuals Involved

On June 17, SK Hynix announced today that it will eliminate all degree requirements and initiate rolling admissions for entry-level positions. As competition in the AI semiconductor sector intensifies, SK Hynix stated that it will select talent based on actual work capabilities and growth potential, rather than solely on educational background. The previous requirement in SK Hynix's job postings that 'applicants must hold at least a four-year bachelor's degree' has been removed, allowing applicants to apply regardless of their educational background, as long as their work experience, job skills, and cultural fit meet the position's requirements. SK Hynix's stock rose by 0.92% today.

[SK Hynix Eliminates Degree Requirements, Will Select Talent Based on Actual Abilities and Growth Potential]On June 17, SK Hynix announced today that it will eliminate all degree requirements and initiate rolling admissions for entry-level positions. As competition in the AI semiconductor sector intensifies, SK Hynix stated that it will select talent based on actual work capabilities and growth potential, rather than solely on educational background. The previous requirement in SK Hynix's job postings that 'applicants must hold at least a four-year bachelor's degree' has been removed, allowing applicants to apply regardless of their educational background, as long as their work experience, job skills, and cultural fit meet the position's requirements. SK Hynix's stock rose by 0.92% today.

SK Hynix Eliminates Degree Requirements, Will Select Talent Based on Actual Abilities and Growth Potential

On June 17, at midnight Beijing time on Thursday, the new Chair of the Federal Reserve, Walsh, will preside over his first FOMC meeting. The market generally expects interest rates to remain unchanged at this meeting, but the focus has shifted to potential adjustments in the policy framework and communication mechanisms. Analysts point out that current market pricing indicates an expectation of nearly one rate hike this year, with both inflation and employment strengthening, leaving uncertainty in the Fed's policy path. Amid fluctuations in oil prices and changes in expectations related to the Strait of Hormuz, some opinions suggest that upward inflationary pressures may ease temporarily, but a recovering labor market limits the space for rate cuts. One of the key highlights of this meeting will be the quarterly dot plot. The market will observe whether the divergence among FOMC members regarding the future interest rate path widens and whether clear signals for rate hikes or maintaining high rates for a longer duration are released. Historical data shows that a majority of committee members currently support keeping interest rates unchanged, and a dominant inclination towards rate hikes has yet to form. Changes at a longer-term level may focus on reforms in the communication mechanism. Analysts note that Walsh has previously criticized the dot plot and forward guidance, arguing that their predictive accuracy is limited, and he may seek to weaken or even adjust the use of these tools during his term. This change could increase policy uncertainty and impact the low-volatility market environment. Overall, the market is focused in the short term on whether this meeting will release clear policy inclinations, while in the medium to long term, it is more concerned about whether the Fed's communication framework is entering a phase of structural adjustment.

[Upcoming Debut of Walsh: Market Focus on Dot Plot and Potential Changes in Fed Communication Mechanism]On June 17, at midnight Beijing time on Thursday, the new Chair of the Federal Reserve, Walsh, will preside over his first FOMC meeting. The market generally expects interest rates to remain unchanged at this meeting, but the focus has shifted to potential adjustments in the policy framework and communication mechanisms. Analysts point out that current market pricing indicates an expectation of nearly one rate hike this year, with both inflation and employment strengthening, leaving uncertainty in the Fed's policy path. Amid fluctuations in oil prices and changes in expectations related to the Strait of Hormuz, some opinions suggest that upward inflationary pressures may ease temporarily, but a recovering labor market limits the space for rate cuts. One of the key highlights of this meeting will be the quarterly dot plot. The market will observe whether the divergence among FOMC members regarding the future interest rate path widens and whether clear signals for rate hikes or maintaining high rates for a longer duration are released. Historical data shows that a majority of committee members currently support keeping interest rates unchanged, and a dominant inclination towards rate hikes has yet to form. Changes at a longer-term level may focus on reforms in the communication mechanism. Analysts note that Walsh has previously criticized the dot plot and forward guidance, arguing that their predictive accuracy is limited, and he may seek to weaken or even adjust the use of these tools during his term. This change could increase policy uncertainty and impact the low-volatility market environment. Overall, the market is focused in the short term on whether this meeting will release clear policy inclinations, while in the medium to long term, it is more concerned about whether the Fed's communication framework is entering a phase of structural adjustment.

Upcoming Debut of Walsh: Market Focus on Dot Plot and Potential Changes in Fed Communication Mechanism

火币HTX报道，6月16日，SpaceX涨超10%，市值达2.33万亿美元。

【SpaceX涨超10%，市值达2.33万亿美元】火币HTX报道，6月16日，SpaceX涨超10%，市值达2.33万亿美元。

SpaceX涨超10%，市值达2.33万亿美元

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SpaceX涨超10%，市值达2.33万亿美元

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

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