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Summary of Key Points Core Viewpoint - The article outlines the holiday trading schedule for the Shanghai, Shenzhen, and Beijing stock exchanges for the year 2026, detailing specific dates for market closures and the resumption of trading activities. Group 1: Holiday Trading Schedule - New Year's Day: Market closed from January 1 (Thursday) to January 3 (Saturday), reopening on January 5 (Monday) [2] - Spring Festival: Market closed from February 15 (Sunday) to February 23 (Monday), reopening on February 24 (Tuesday) [2] - Qingming Festival: Market closed from April 4 (Saturday) to April 6 (Monday), reopening on April 7 (Tuesday) [3] - Labor Day: Market closed from May 1 (Friday) to May 5 (Tuesday), reopening on May 6 (Wednesday) [3] - Dragon Boat Festival: Market closed from June 19 (Friday) to June 21 (Sunday), reopening on June 22 (Monday) [4] - Mid-Autumn Festival: Market closed from September 25 (Friday) to September 27 (Sunday), reopening on September 28 (Monday) [5] - National Day: Market closed from October 1 (Thursday) to October 7 (Wednesday), reopening on October 8 (Thursday) [5] Group 2: Hong Kong Stock Connect Trading Days - Hong Kong Stock Connect services will not be available during the same holiday periods as the A-share market closures, with specific dates outlined for each holiday [5][6] - Additional trading days for Hong Kong Stock Connect are scheduled before the holidays, such as December 29, 30, and 31, 2025, and February 12 and 13, 2026 [9][10] Group 3: Securities Settlement Arrangements - For the New Year holiday, securities transactions on December 31, 2025, will have a settlement date of January 5, 2026 [9] - For the Spring Festival, transactions on February 13, 2026, will settle on February 24, 2026 [10] - Similar arrangements are specified for other holidays, ensuring clarity on settlement dates for transactions occurring just before and during the holiday periods [11][12][13][14][15][16]

上天天基金APP搜索777注册即可领500元券包，优选基金10元起投！限量发放！先到先得！ 这位富豪下场了，华纳兄弟探索公司千亿美元收购案最新消息！ 贵金属大爆发！黄金、白银齐齐创历史新高！铂金也逼近历史高点。 美股三大指数集体收涨 美东时间12月22日，临近假日，美股交投清淡，主要指数集体上涨。美股三大指数已连涨三 日。 美东时间12月22日，美股三大指数集体收涨，开启了"圣诞老人行情"。 | 特斯拉(TESLA) | 488.730 | 1.56% | | --- | --- | --- | | TSLA.O | | | | 英伟达(NVIDIA) | 183.690 | 1.49% | | NVDA.O | | | | 谷歌(ALPHABET) | 309.780 | 0.85% | | GOOGL.O | | | | 亚马逊(AMAZON) AMZN.O | 228.430 | 0.48% | | 脸书(META PLATF | 661.500 | 0.41% | | META.O | | | | 微软(MICROSOFT | 484.715 | -0.25% | | MSFT.O | | | | 苹 ...

上天天基金APP搜索777注册即可领500元券包，优选基金10元起投！限量发放！先到先得！ 今天全市场暴涨，又能开开心心找原因了！一起来看看发生了什么事情。 股市暴涨 12月22日，A股全天走强， 沪指重返3900点上方，截至收盘， 沪指涨0.69%，深成指涨 1.47%，创业板指涨2.23%。 指数大涨的情况下，美中不足的是，今天市场有大约一半的个股处于下跌状态，市场共 2984 只个股上涨，105只个股涨停，2265只个股下跌。 此外，亚太市场全线大涨。 | 名称 | 最新 | 涨幅↓ | 涨跌 | | --- | --- | --- | --- | | 越南胡志明 | 1747.25 | 2.52% | 42.94 | | VNINDEX | | | | | 韩国 KOSPI200 | 582.73 | 2.52% | 14.33 | | KOSPI200 | | | | | 韩国KOSPI | 4105.93 | 2.12% | 85.38 | | KS11 | | | | | 菲律宾马尼拉 | 6041.26 | 2.03% | 120.39 | | PSI 延 | | | | | 日经 225 | ...

Core Viewpoint - Precious metals, including silver, platinum, and palladium, are experiencing significant price increases as the global market enters the "Christmas mode," with silver up 137% year-to-date and tungsten prices up 202% [3][5][9] Precious Metals Market - On December 22, silver rose over 6%, while platinum and palladium futures hit their daily limit [2] - The price of spot gold reached $4,384 per ounce, marking a nearly 1% increase and surpassing the previous record set on October 20 [5] - Year-to-date, international spot gold prices have increased over 65%, while silver prices have exceeded $68.8 per ounce [5] - Domestic silver futures surpassed 16,000 yuan per kilogram, setting a new historical high [5] - The precious metals sector in the domestic stock market has seen a rise of over 80% year-to-date, with significant inflows into gold-related funds [5] Tungsten Market - Tungsten prices have shown remarkable increases, with tungsten concentrate prices rising by 202% year-to-date [3][8] - Recent data indicates that tungsten powder prices have reached 1,030,000 yuan per ton, reflecting a 225.92% increase since the beginning of the year [8] - The supply of tungsten is constrained due to declining ore grades and stricter regulations, while global demand is expected to grow, leading to a projected long-term price increase [9] - The global tungsten supply is anticipated to remain tight over the next 3-5 years, with demand expected to rise from 96,200 tons to 110,000 tons [9]

Group 1 - The core viewpoint of the article highlights the strong performance of A-shares, driven by three main themes: policy benefits, technology sector rebound, and the surge in precious metals [2][3][4] Group 2 - The Hainan Free Trade Zone sector experienced a significant surge, with a 9.59% increase, leading to a rare wave of limit-up stocks, with 22 out of 29 stocks hitting the limit [2] - The automotive industry chain strengthened, primarily due to the announcement of the first batch of L3 autonomous driving vehicle permits by the Ministry of Industry and Information Technology, marking a key step towards commercialization [2] Group 3 - The technology sector saw a broad rebound, with significant gains in the computing power, semiconductor, and consumer electronics industries, driven by improved sentiment regarding AI narratives [5][8] - Micron Technology reported better-than-expected earnings, with Q1 revenue reaching $13.64 billion, a 57% year-over-year increase, which contributed to the rise in the semiconductor sector [8] Group 4 - The precious metals sector saw spot gold and silver prices reach historical highs, indicating strong demand and market interest [3] Group 5 - The duty-free shop sector also saw gains, with leading stock China Duty Free Group hitting the limit-up, supported by strong sales figures from Sanya's duty-free market [11][14]

Core Viewpoint - Elon Musk is significantly impacting Wall Street with a new proposal for SpaceX's IPO, which could potentially be the largest in history, valued at up to $1.5 trillion [3][5]. Group 1: SPARC Proposal - Bill Ackman has proposed a Special Purpose Acquisition Rights (SPARC) structure that allows Tesla shareholders to invest directly in SpaceX or cash out their rights, bypassing traditional IPO processes [3][4]. - Each Tesla share will issue approximately 0.5 SPARs, totaling 1.723 billion SPARs, which can be converted into 34.46 billion shares of SpaceX [4]. - The proposal aims to democratize the IPO process, providing loyal Tesla shareholders with investment opportunities in SpaceX [4][5]. Group 2: Financial Implications - If the SPAR option exercise price is set at $11.03 per share, SpaceX could raise about $42 billion, with $38 billion from SPAR options and $4 billion from Pershing Square [5]. - Should the exercise price increase to $42, the fundraising could soar to approximately $148.7 billion, aligning with market expectations for SpaceX [5]. Group 3: IPO Process and Competition - Morgan Stanley is positioned as a leading contender for the role of lead underwriter for SpaceX's IPO due to its close relationship with Musk [6][7]. - Other investment banks, including Goldman Sachs and JPMorgan, are also competing for underwriting roles, but no final decisions have been made yet [6][7]. - The IPO process remains complex, and while preparations are underway, the final decision will depend on market conditions, with the possibility of delays or cancellation [7].

上天天基金APP搜索777注册即可领500元券包，优选基金10元起投！限量发放！先到先得！ 一锤定音！明年1月1日起，中国人民银行将实施一次性信用修复政策。 对于部分已还清欠款的违约者，征信记录"一朝逾期、展示五年"的情况将有所改变。 12月22日，中国人民银行发布一次性信用修复政策，明确对满足一定条件的个人信贷逾期信息， 在金融信用信息基础数据库（即"中国人民银行征信系统"）中不再展示。 本次政策诚意十足，适用时间覆盖2020年年初至今年年底，适用范围覆盖所有已经还清的、单笔 金额在1万元以下的逾期记录。而适用政策的个人也无需额外申请操作，"足不出户"就可以实现个 人信用报告的调整。 业内人士认为，一次性信用修复政策，兼顾了对"失信必惩"的刚性约束，以及"特殊情况特殊处 理"的柔性关怀，让信用体系既有"牙齿"又有"温度"。通过为符合条件的、已还清欠款的个人提供 信用修复政策支持，将激励个人主动偿还欠款、处理历史信用问题，让曾经"跌倒"但有能力、有意 愿守信用的个体，重新获得金融支持、更好实现个人发展。 哪些个人可以享受本次政策？个人需要进行哪些操作？本次政策还有哪些附加福利？十大核心问题 一文读懂！ 问题一 ...

Core Viewpoint - The emergence of China's first L3 autonomous driving license plate marks a significant step towards the commercialization of L3 autonomous driving technology, with Changan Automobile leading the way in this development [2][3][4]. Group 1: L3 Autonomous Driving License and Models - The first L3 autonomous driving license plate "渝AD0001Z" was awarded to Changan Automobile in Chongqing, indicating the start of the L3 autonomous driving era in China [2][3]. - The Ministry of Industry and Information Technology (MIIT) has approved the first batch of L3 autonomous driving models, including Changan's Deep Blue SL03 and Arcfox Alpha S6, for trial operations in designated areas of Beijing and Chongqing [4][5]. - Changan's L3 autonomous driving system has undergone over 5 million kilometers of testing on complex roads in Chongqing, demonstrating its readiness for commercial application [3][5]. Group 2: Market Impact and Future Prospects - Following the announcement of L3 autonomous driving approvals, related stocks surged, with multiple companies seeing significant gains in the stock market [2]. - Analysts believe that the approval of L3 models signifies a new phase in the mass production and application of intelligent connected vehicles in China, potentially leading to a restructuring of the autonomous driving industry [6][7]. - The gradual implementation of L3 autonomous driving is expected to expand from B-end (business) to C-end (consumer) markets, with increasing opportunities for component suppliers and testing institutions [7].

Core Viewpoint - The article highlights a significant breakthrough in the field of optical computing chips by researchers at Shanghai Jiao Tong University, specifically the development of the LightGen chip, which supports large-scale semantic media generation models [3][4]. Breakthrough Details - The LightGen chip represents the first full-optical computing chip capable of supporting large-scale semantic generation models, addressing the performance gap in traditional chip architectures due to the increasing demands of deep neural networks and large-scale generative models [4]. - Optical computing utilizes light propagation within chips to perform calculations, offering inherent advantages such as high speed and parallelism, making it a promising direction for overcoming computational and energy consumption bottlenecks [4][5]. Performance Enhancements - LightGen has demonstrated a performance improvement of two orders of magnitude in computational power and energy efficiency compared to leading digital chips, even when using relatively outdated input devices [5]. - The chip achieves this leap in performance by overcoming three critical bottlenecks: integrating millions of optical neurons on a single chip, enabling full-optical dimensional transformation, and developing a light-based generative model training algorithm that does not rely on truth values [5][6]. Functional Capabilities - LightGen can complete a closed loop of "input-understanding-semantic manipulation-generation," enabling high-resolution image generation (≥512×512), 3D generation (NeRF), high-definition video generation, and semantic control, while also supporting denoising and feature transfer tasks [6]. Advantages of Optical Computing - Optical computing is characterized by scalability, low power consumption, ultra-high speed, wide bandwidth, and high parallelism, making it a key technology for rapid computation of large-scale data in AI, scientific computing, and multimodal perception [7]. - Recent advancements in optical computing have focused on increasing matrix scale and optical frequency, with notable examples including TSMC's optical computing chip matrix (~512x512) and Caltech's optical frequency exceeding 100GHz, indicating the challenges in achieving further breakthroughs [7]. Future Directions - Expanding computational parallelism is identified as a critical development direction for enhancing optical computing performance and making it practical for real-world applications [8]. - A recent achievement by the Shanghai Institute of Optics and Fine Mechanics has led to the development of a high-parallel optical computing integrated chip, demonstrating a parallelism greater than 100, which addresses key challenges in high-density information processing [8][9].