Huaan Hang Seng Internet Technology Industry ETF (159688) Rises 1.28% in Morning Trading; Constituent Stocks Such as Mininglamp Technology (2718.HK) Record Substantial Share Price Gains Recently

NewTimeSpace (newtimespace.com) News, As of 09:47 AM on June 15, 2026, Huaan Hang Seng Internet Technology Industry ETF (159688) advanced by 1.28%, with its latest price quoting at RMB 0.79. Choice data shows that as of 9:55 AM, among the constituents ofHuaan Hang Seng Internet Technology Industry ETF, the 5-day gains of large model concept stocks showed that Mininglamp Technology (2718.HK) rose by 20.89%, Kuaishou-W (1024.HK) rose by 5.44%, Tencent (0700.HK) rose by 4.26%, and Meituan-W (3690.HK) rose by 3.54%.

NewTimeSpace (newtimespace.com) News, As of 09:47 AM on June 15, 2026, the Hang Seng Internet Tech Industry Index (HSIII) rose strongly by 1.14%. Among its constituent stocks, Kingsoft Cloud rose by 5.36%, Unisound rose by 5.12%, and Meitu rose by 4.53%.Huaan Hang Seng Internet Technology Industry ETF (159688) advanced by 1.28%, with its latest price quoting at RMB 0.79. (The stocks listed above are merely index constituents and do not represent specific investment recommendations.)

Data shows that leveraged capital continues to position itself in the market. The latest margin buying amount ofHuaan Hang Seng Internet Technology Industry ETF reached RMB 6.4211 million, bringing its latest margin balance to RMB 68.8923 million.

On the news front, invocation volumes of multiple domestic models from DeepSeek, Tencent, and other vendors continue to dominate global leaderboards. According to OpenRouter, during this week (June 8 to 14), domestic models occupied 6 positions among the top ten global large model invocations, including DeepSeek V4 Flash, Hunyuan Hy3 preview, MiniMax M3, MiMo-V2.5, DeepSeek V4 Pro, and DeepSeek V3.2.

Since the beginning of 2026, large model enterprises in the Hong Kong stock market have demonstrated active performances, and related large model concept stocks have delivered strong share price performances recently. Choice data shows that as of 9:55 AM, among the constituents ofHuaan Hang Seng Internet Technology Industry ETF, the 5-day gains of large model concept stocks showed that Mininglamp Technology (2718.HK) rose by 20.89%, Kuaishou-W (1024.HK) rose by 5.44%, Tencent (0700.HK) rose by 4.26%, and Meituan-W (3690.HK) rose by 3.54%.

Industrial Securities stated to focus on directions with higher certainty for AI application implementation. In terms of demand, emphasis should be placed on the strategic height of "AI + Manufacturing" during the "15th Five-Year Plan" period, where the penetration of domestic general large models is expected to accelerate. In terms of technology, importance should be attached to physical AI. NVIDIA recently released the Cosmos 3 world model, making a breakthrough in simulation technology that is expected to accelerate the industrial implementation of embodied intelligence and other sectors, showcasing immense potential.

Industrial Securities further stated that global large models are undergoing intensive iterations, and commercialization is accelerating. The release of Anthropic Fable 5 refreshed various benchmark leaderboards, showing proficiency in coding and complex tasks, which indicates that large models will make breakthroughs in the field of long-horizon tasks. Since 26Q2, Claude Code and GitHub Copilot have adjusted their billing methods, causing users' token bills to generally double; Doubao is also about to introduce fees, and the institution remains optimistic about the accelerating commercialization of large model vendors.

Hong Kong-listed Large Model Concept Stocks:

MININGLAMP-W (02718.HK)

As an LLM concept stock in the Hong Kong market, Mininglamp Technology is dubbed the "First Agentic AI Stock in Hong Kong." It 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.

KUAISHOU-W (01024.HK)

A leading multimodal content generation platform in China, the company plans to restructure Kling AI and introduce external financing. Kling AI's quarterly revenue has reached 6.5 millions of RMB, with an Annualized Run Rate (ARR) exceeding USD 500 million. Its general LLM "KwaiYii" and video generation model "Kling" are undergoing continuous iteration, demonstrating high commercial conversion efficiency in scenarios such as e-commerce live streaming and automated marketing content generation.

TENCENT (00700.HK)

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.

MEITUAN-W (03690.HK)

An AI technology pioneer in the local lifestyle services sector. Its AI-native community "Miyou" has validated its practical value in physical operational scenarios, helping catering brands improve operational efficiency. The company continues to optimize search, recommendation, and dispatch algorithms within the local lifestyle ecosystem using its self-developed LLM capabilities. By introducing AI agent technologies into intelligent customer service, merchant marketing assistants, and on-demand delivery route planning, it remains committed to enhancing bilateral operational efficiency and refined management levels.

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