Daily Report on Hong Kong-Listed LLM Concept Stocks (June 2, 2026)
I. Industry Observations
On June 2, 2026, the Hong Kong stock market surged as tech stocks across the board experienced an explosive rally. The Hang Seng Index (HSI) closed up 2.52% at 26,038.32 points, the Hang Seng TECH Index skyrocketed 4.72% to 5,199.28 points, and the Hang Seng China Enterprises Index (HSCEI) jumped 3.00% to 8,762.97 points. Total daily turnover expanded significantly from the previous trading day to HKD 373.78 billion, with Southbound trading recording a net inflow of HKD 2.223 billion.
The AI and LLM supply chains led the market rally. TENCENT (00700.HK) surged 10.5% amid reports that the company is testing a WeChat AI agent prototype and is close to launching a WeChat AI assistant; concurrently, the company repurchased HKD 501 million worth of shares. BABA-W (09988.HK) gained 6.6% after releasing the upgraded Qwen3.7-Plus multimodal intelligent model and implementing an equity incentive plan to align talent with shareholder interests. MEITUAN-W (03690.HK) jumped 9.3% on the back of better-than-expected Q1 earnings.
II. Market Performance of LLM Concept Stocks
|
Stock Code |
Stock Name |
Latest Price (HKD) |
Change (%) |
|
00700.HK |
TENCENT |
481.6 |
10.46% |
|
03690.HK |
MEITUAN-W |
85.5 |
9.27% |
|
09988.HK |
BABA-W |
130.9 |
6.60% |
|
01024.HK |
KUAISHOU-W |
48.98 |
5.24% |
|
09888.HK |
BIDU-SW |
134.7 |
4.34% |
|
00020.HK |
SENSETIME-W |
1.81 |
2.84% |
|
02513.HK |
KNOWLEDGE ATLAS |
1,412.00 |
-3.68% |
|
03317.HK |
XUNCE |
185.9 |
-5.68% |
|
00100.HK |
MINIMAX-W |
667.5 |
-5.72% |
|
02718.HK |
MININGLAMP-W |
294 |
-5.95% |
Data Source: HKEX. For reference only, not investment advice. Data as of market close onJune 2, 2026.
III. Industry and Corporate Dynamics
1.Jensen Huang: The Era of Agentic AI Has Arrived; NVIDIA Officially Enters the PC Chip Market:
On June 1, NVIDIA founder and CEO Jensen Huang delivered a keynote speech at GTC Taipei 2026, declaring that "the era of Agentic AI has arrived." Core highlights from the speech included the announcement that the Vera Rubin architecture has entered full-scale mass production—the most ambitious project in NVIDIA's history, involving 40,000 engineers. Huang also officially unveiled the N1X (RTX Spark Superchip), the company's first Arm-based processor for Windows PCs. Co-developed with MediaTek, the chip integrates both CPU and GPU, with mainstream brands like Dell and Lenovo slated to launch related products this fall, marking NVIDIA's official foray into the PC chip market. Furthermore, NVIDIA launched Nemotron 3 Ultra, an open-source model touted as the world's most cost-effective. Based on a hybrid architecture (SSM+MoE), it boasts a 5x speed increase and a 30% cost reduction. Huang also presented the industry view that "Tokens are assets," emphasizing that AI companies will build more AI factories as computing demand skyrockets.
2.MININGLAMP-W (02718.HK) Officially Included in Stock Connect:
On June 1, MININGLAMP-W (02718.HK) was officially included as an eligible stock for trading under the Southbound Stock Connect, allowing qualified investors from mainland China to trade its shares directly. Listed on the HKEX in November 2025, Mininglamp Technology is recognized as the "First Agentic AI Stock in Hong Kong." Its self-developed model cluster includes the DeepMiner LLM product line, models such as Mano/Cito, and the Cider inference acceleration framework. These are interconnected by the Octo platform layer, which serves as a human-Agent collaboration hub, empowering industries like marketing and mass consumption through Agentic Services.
3.MINIMAX-W (00100.HK) Launches MiniMax M3: Open-Sourcing a 1M Context Model with a TokenPlan Offering 600M Tokens for RMB 49/Month:
On June 1, MiniMax officially released its next-generation general model, MiniMax M3. The M3 utilizes a novel, self-developed MiniMax Sparse Attention (MSA) architecture and possesses three core capabilities: "Frontier Coding, 1M (one million) ultra-long context window, and native multimodality," making it a comprehensive open-source option. Notably, MiniMax concurrently rolled out its TokenPlan subscription scheme. According to official details, its Plus plan is priced at RMB 49 per month and provides 600 million tokens—roughly equivalent to five times the monthly capacity of Claude Pro (USD 20).
IV. Introduction to LLM Concept Stocks
|
Stock Name |
Stock Code |
Market Position |
LLM Products & Business Profile |
|
TENCENT |
00020.HK |
An Internet tech giant with a national-scale application ecosystem and the platform provider with the broadest LLM implementation scenarios in China |
The Hunyuan LLM ranks highly in evaluations on third-party platforms such as OpenRouter. The model continues to deepen its integration into national-level social applications, Tencent Meeting, and the cloud-based collaborative office ecosystem. Backed by a massive MAU base and the Tencent Cloud intelligent computing service system, the company is accelerating the delivery/provision of AI solutions to B2B clients in government and finance, continuously expanding enterprise-level application scenarios. |
|
MINIMAX-W |
00100.HK |
A top-tier player in omni-modal AGI |
The company has released DeepMiner, a multi-agent collaborative data analysis platform for commercial data analytics, and the open-source edge GUI (Graphical User Interface) model series, Mano. Deeply engaged in the enterprise service and data intelligence tracks, the company adopts a multi-agent architecture focusing on commercial data analysis. By utilizing structured factual data to mitigate AI hallucination risks, it provides decision-making agent pipelines for the marketing and mass consumption sectors. Additionally, it has launched AI Native hardware to expand the carriers for its agents. |
|
MININGLAMP-W |
02718.HK |
LLM concept stock, dubbed the "First Agentic AI Stock in Hong Kong" |
Its self-developed model cluster includes the DeepMiner LLM product line (underlying engine), models such as Mano/Cito, and the Cider inference acceleration framework. These are all interconnected by the Octo platform layer to serve as a human-Agent collaboration hub, ultimately delivered in the form of Agentic Services to empower the implementation of decision-making agents in industries like marketing and mass consumption. The company bypasses the "Scaling Up" route of monolithic LLMs, opting instead for a "Scaling Out" approach through the collaboration of multiple specialized small models, achieving precision that surpasses general models in vertical scenarios. Its core moats lie in granular scenario data, specialized models, and continuous learning, culminating in an open-source, privately deployable, and white-box auditable Private AI infrastructure. |
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