HK Tech Stocks Rally Amid 'Hangzhou Six Dragons' IPO Surge: Hard Tech IPOs and AI Valuations Align

Strong Rebound in Hong Kong’s Tech Sector Amid Soaring Grey-Market Trading of the “Hangzhou Six Dragons”: Convergence of IPO Sentiment for Hard Tech and Revaluation of AI Application-Layer Valuations

In early April, Hong Kong’s equity market witnessed a rare structural surge: the Hang Seng Tech Index surged 3.67% in a single day—the largest one-day gain in nearly six months. Simultaneously, several unlisted hard-tech firms from the “Hangzhou Six Dragons” ignited extraordinary volatility in the Hong Kong Stock Exchange’s grey-market trading—Qunke Technology soared 195% pre-listing; Changguang辰芯 (Changguang CX) rose 64%; and Sige New Energy, having just debuted on the HKEX, jumped 103% on its first trading day. This phenomenon is no isolated event—it marks a systemic inflection point driven by the convergence of policy signals, industrial progress, and capital logic. It signifies that China’s hard-tech sector is transitioning from a “concept-driven” phase into a new era defined by dual-track advancement: profitability validation and real-world scenario deployment. Consequently, Hong Kong’s tech sector has entered a deep revaluation cycle—one combining both valuation recovery and thematic premium.

Policy Anchors “New Quality Productive Forces,” Elevating Hard Tech to Unprecedented Strategic Priority

The most solid foundation underpinning this rally lies in sustained top-down policy reinforcement. “New quality productive forces” have evolved from a macro-level slogan into an actionable, performance-measurable industrial policy framework. For the first time, the 2024 Government Work Report explicitly paired “large-scale equipment upgrading” with “large-scale consumer goods trade-in programs.” Crucially, the core targets for equipment upgrading are precisely hard-tech infrastructure—semiconductor manufacturing equipment, industrial AI software, and high-end sensors. The Ministry of Industry and Information Technology’s recently released Action Plan for the Development of Intelligent Inspection Equipment (2024–2027) further stipulates a clear target: by 2027, domestic self-sufficiency in high-end CMOS image sensors for critical applications—including industrial vision and medical imaging—must reach over 60%. This directly maps onto Changguang CX’s explosive growth trajectory. Policy focus has shifted beyond merely addressing “choke-point” technologies; it now prioritizes commercially viable, operationally robust closed-loop ecosystems—providing hard-tech enterprises with clear industrialization pathways and predictable order visibility.

Industrial Momentum Accelerates: AI Application Tools & Core Components Enter Profitability Realization Phase

Policy catalysts only translate into tangible outcomes when grounded in real industrial progress. The standout performers in this rally are precisely those niche sectors where AI has deeply penetrated—and already begun generating revenue. Qunke Technology, a global leader in cloud-based CAD AI platforms, saw its grey-market price surge 195%, reflecting strong market endorsement of its “AI + architecture/furniture design” SaaS model. In 2023, its subscription revenue grew 82% year-on-year, with a remarkable 91% customer renewal rate—evidence of AI tools’ irreplaceability within specialized vertical domains. Similarly, Changguang CX—the domestic leader in CMOS image sensors—has achieved mass production deployments in Huawei’s Mate 60 series 3D structured-light modules and domestically manufactured industrial inspection equipment; its orders in Q1 2024 doubled year-on-year. Meanwhile, Honghe Technology posted a staggering 354.22% YoY surge in Q1 net profit, as electronic fabric prices rose 116.85% YoY—revealing another latent theme: foundational materials for AI compute infrastructure are experiencing simultaneous volume and price expansion. Its electronic-grade fiberglass cloth serves as a core substrate for high-end PCB carrier boards—directly benefiting from surging demand for high-frequency, high-speed PCBs driven by AI server GPU proliferation. Hard-tech investment logic has decisively pivoted from “telling stories” to “reading financial statements”; earnings growth has become the direct catalyst for valuation leaps.

Liquidity Improvement & Regulatory Cleansing: Dual Support from Reviving Southbound Flows and Optimized Information Environment

A material improvement in funding conditions served as the key leverage amplifying this rally. Since early April, southbound funds have recorded net inflows for 12 consecutive trading days, with weekly net purchases reaching HK$28.7 billion—the highest level this year. This shift stems from a confluence of factors: stabilization of the RMB exchange rate, strengthening expectations of narrowing U.S.-China interest-rate differentials, and historically low valuations for Hong Kong tech stocks (the Hang Seng Tech Index’s forward P/E stands at just 22x—35% below its five-year average). More profoundly, the regulatory environment is undergoing structural optimization. The Cyberspace Administration of China recently shut down illegal stock-picking accounts—including “Brother Zhang’s Snowball Rolling” and “Desperate Brother’s Live Trading”—ostensibly as part of broader financial information rectification. Yet this move sends a powerful implicit signal: regulators are systematically eliminating noise-driven trading and speculative culture across both A-share and Hong Kong markets—guiding capital away from “news-chasing” and “theme-hype” toward rational allocation based on fundamentals and technological moats. As information pollution recedes and pricing efficiency improves, hard-tech names with genuine technological defensibility and proven commercial execution naturally emerge as the top allocation choice for incremental capital.

Spillover Effects on A-Share & HK Index Constituents: Opportunities for Rebalancing in STAR 50 and Hang Seng 100

This hard-tech rally in Hong Kong does not merely “spill over” to the A-share market—it creates substantive mapping effects and serves as a benchmark for repricing. Currently, ~37% of the STAR 50 Index’s weight is concentrated in hard-tech subsectors—semiconductor equipment, AI chips, and industrial software—yet valuations remain significantly lower than their Hong Kong peers (e.g., ZTE’s optical module subsidiary vs. HK-listed optical module leaders). With newly listed Hong Kong contenders like Sige New Energy and Qunke Technology commanding high valuations, A-share investors will be compelled to reassess the scarcity premium embedded in domestic AI application-layer enterprises. Likewise, technology stocks account for over 45% of the Hang Seng 100 Index, with a substantial portion comprising unprofitable yet globally leading hard-tech firms. An upward shift in their valuation benchmark will directly elevate risk appetite across the entire Hong Kong tech sector—and transmit through the Stock Connect mechanism to the A-share market. Notably, this mapping effect is not broad-based but structurally divergent: enterprises lacking real orders, facing ambiguous technology roadmaps, or enduring persistent cash-flow pressure—even if operating within the same thematic umbrella—will struggle to attract capital.

Conclusion: From a “Policy-Driven Market” to an “Industry-Driven Market”—Hard Tech Enters the Deep Waters of Value Reassessment

The strong rebound in Hong Kong’s tech sector—and the grey-market frenzy surrounding the “Hangzhou Six Dragons”—is fundamentally a value-discovery process propelled jointly by policy direction, industrial validation, and capital return. It heralds the end of hard-tech investing’s purely policy-dependent infancy and ushers in a mature “industry-driven market” era—where commercial execution capability becomes the ultimate yardstick. The depth and sustainability of future rallies hinge on two critical variables: first, whether AI large models can sustainably exceed expectations in vertical adoption across industrial design, precision sensing, and intelligent inspection; second, how rapidly domestic substitution advances—from “functionally usable” to “operationally superior” in terms of quality and reliability. Only when technological moats translate concretely into customer stickiness and pricing power will today’s valuation recovery evolve into durable, long-term value re-rating. For investors, chasing short-term thematic heat is less rewarding than diligently tracking upstream/downstream supply-chain verification data—because the ultimate winners in hard tech will always be those who reliably deliver lab-born innovations straight onto their customers’ production lines.