Rebound from the Bottom! GF HK Equities Hang Seng Composite Midcap Index Fund(LOF) (501303.SH) Rises 2.62% This Week as Large Model Concept MidCap Stocks Deliver Strong Performances

NewTimeSpace (newtimespace.com) News, On July 21, 2026, the Hong Kong Hang Seng Index weakened with volatility. As of 10:05, the Hang Seng Composite MidCap Index (HSMI) rose 0.69%, and GF HK Equities Hang Seng Composite Midcap Index Fund(LOF) (501303.SH) increased by 0.54%, achieving a cumulative gain of 2.62% so far this week.

Data shows that the OTC fund for GF HK Equities Hang Seng Composite Midcap Index Fund(LOF)(501303.SH) is GF HK Equities Hang Seng Composite Midcap Index Fund(LOF)-A (501303), with linked funds: GF HK Equities Hang Seng Composite Midcap Index Fund(LOF)-E (018238) and GF HK Equities Hang Seng Composite Midcap Index Fund(LOF)-C (004996).

In terms of valuation, as of July 20, 2026, the latest price-to-earnings ratio (PE-TTM) of the Hang Seng Composite MidCap Index stood at the 10.04th percentile over the past year, highlighting outstanding valuation cost-effectiveness.

Public information indicates that GF HK Equities Hang Seng Composite Midcap Index Fund(LOF)-A

was established on September 21, 2017. As an index-based equity fund managed by GF Fund Management, it closely tracks the Hang Seng Composite MidCap Index, covering sectors such as industrials, information technology, financials, consumer, and healthcare.

In terms of news coverage, Hong Kong stocks continue to welcome large model enterprises. Media outlets reported that leading large model enterprise Moonshot AI has sent a listing proposal to investors and is expected to complete its Hong Kong listing within 6 months at the earliest. Recently, Moonshot AI also officially launched its new-generation model, Kimi K3, featuring a parameter scale of 2.8 trillion. This stands as the world's largest open-source model by parameter size to date, marking a new step forward in the development of artificial intelligence models in China.

Cathay Haitong Securities pointed out that as high-performance open-source models enter commercial availability, it will help further accelerate the commercial monetization of AI applications.

CSC Financial stated that with the continuous iteration of domestic models and the rapid growth of user invocation volume and inference demand, domestic computing power infrastructure is expected to usher in a new round of expansion. It is recommended to focus on domestic large model developers as well as investment opportunities in the domestic computing power industry chain.

Hong Kong-listed Large Model Concept Stocks:

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.

MININGLAMP-W (02718.HK)

As an LLM concept stock, the company fully underpins its Agentic AI positioning with its self-developed edge models—Mano, Cito, and Mano-P—alongside the Cider inference framework. Its business architecture utilizes the DeepMiner LLM as the underlying engine and Octo as the collaborative hub, uniformly delivering various AI products and industry solutions in the form of Agentic Services. Mininglamp pursues a differentiated technological route, bypassing the parameter expansion of general models in favor of a "Scaling Out" approach that coordinates multiple specialized small models. Its core moats do not rely on parameter scale, but rather on granular scenario data, specialized models, and continuous learning. This enables it to achieve a level of precision in vertical scenarios that general models cannot match, as it remains committed to building an open-source, privately deployable, and white-box auditable Private AI infrastructure.

SENSETIME-W (00020.HK)

Accelerating its transition towards Model-as-a-Service (MaaS) and generative AI services. The company has released and open-sourced the SenseNova U1 series, a native unified understanding and generation model, and the lightweight multimodal model SenseNova 6.7 Flash-Lite. Leveraging the computing reserves of its AI infrastructure (AIDC), it translates foundational computing power into omni-modal generation pipelines tailored for vertical industries such as automotive and healthcare.

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