Penghua CSI HK Equities Information Technology Integration ETF (159185) Rises Nearly 2% in Morning Trading; Large Model Concept Stocks Such as Mininglamp Technology-W Strengthen

NewTimeSpace (newtimespace.com) News: On June 29, 2026, the Hong Kong stock AI application sector continued to strengthen. As of 10:02 AM, the CSI Hong Kong Stock Connect Information Technology Composite Index (930967) rose strongly by 1.27%, and the Penghua CSI HK Equities Information Technology Integration ETF (159185) advanced by 1.81%, with its latest price quoting at RMB 1.24.

Among its constituent stocks, ASMPT (0522.HK) surged by 10.71%, Kingdee International (0268.HK) rallied by 8.27%, and Mininglamp Technology-W (2718.HK) climbed by 7.70%.

Looking at a longer time horizon, as of June 26, 2026, thePenghua CSI HK Equities Information Technology Integration ETF has achieved a cumulative increase of 4.65% over the past two weeks. Wind data shows that in terms of fund size, the latest scale of thePenghua CSI HK Equities Information Technology Integration ETF reached RMB 230 million, hitting a new high since its inception and ranking 3rd out of 9 comparable funds. In terms of fund shares, its latest total shares reached 187 million units, marking a new high for the past month.

On the news front, on June 26 local time, OpenAI in the United States released its new version of the large model, GPT-5.6. However, due to restrictions from US government executive orders, this model will not be fully open to all users.

Recently, Mininglamp Technology (2718.HK) officially released the Mano-CUA-2.0 version, an edge-side GUI VLA model tailored for AI PCs, and concurrently launched its "Thinking Mode." The newly upgraded Mano-CUA-4B-2.0 is already available for download and deployment on Hugging Face and ModelScope.

Huaxin Securities stated that current AI large models are still in a phase of high-speed development and iteration. Domestic and international large models still have considerable room for improvement in text information processing, programming, and other capabilities, while potential breakthroughs in multimodal and physical AI will further raise the ceiling for AI model capabilities and application scenarios. The first principle of the industry trend lies in the evolution and iteration speed of model capabilities. As long as major domestic and overseas tech giants continue to push forward iterative innovations in models, it will be difficult for the industry side to see a ceiling for AI applications and computing power demands.

Hong Kong-listed Large Model Concept Stocks:

KNOWLEDGE ATLAS (02513.HK)

Knowledge Atlas Technology Joint Stock Company Limited (02513.HK; commercially known as Zhipu AI) is a leading player in China's independent large language model (LLM) sector (recognized for its capabilities and market position by Frost & Sullivan). The company has released its next-generation flagship model, GLM-5, achieving open-source State-of-the-Art (SOTA) performance in coding and agentic capabilities. It has also open-sourced the multimodal image generation model GLM-Image in collaboration with Huawei. Focusing on novel model architecture design, generalized reinforcement learning paradigms, and autonomous model evolution, its business layout closely aligns with the trend of enterprise-level AI productivity transformation.

MININGLAMP-W (02718.HK)

As an LLM concept stock, Mininglamp Technology is recognized by the market as 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.

XUNCE (03317.HK)

A leading data infrastructure provider for financial asset management in China, recognized by the market as the "First Token Stock." The company continues to deepen the integration of LLMs into the core business workflows of financial asset management, reconstructing investment research, trading, and risk control pipelines through underlying data governance and AI technologies. Its underlying structured data cleaning capabilities closely align with the digital transformation of financial institutions and the compliant implementation trends of LLMs.

Risk Warning: The above content is a compilation of recent public research reports and market information and does not constitute any investment advice. The industrial implementation of large models is affected by multiple factors such as technological evolution, market competition, and policy changes, and contains uncertainties. Investment involves risks, and caution should be exercised when entering the market.

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