Futures
Access hundreds of perpetual contracts
TradFi
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Launchpad
Be early to the next big token project
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Public Fund Organizations Conduct Over 1,200 Institutional Visits in the Month, AI-Related Stocks Become Focus
Since March, the A-share market has shown a trend of structural adjustment. During this period, public fund institutions actively explored deployment directions and strategy adjustments through research. According to the latest statistics from Public Fund Ranking Network, a total of 144 public fund institutions participated in research on A-share listed companies this month, involving 127 stocks across 27 first-level industries in the Shenwan classification, with a total of 1,206 research visits.
Electronics Industry Receives Key Attention
In terms of research activity, 43 listed companies were visited by public fund institutions at least 10 times this month, with AI industry chain-related companies receiving particular focus. Among them, Jingchen Co., Ltd. led with 48 research visits, including a single-day event on March 1st that attracted 48 public fund institutions such as E Fund and China Asset Management, mainly focusing on the company’s AI deployment.
Additionally, AI-related stocks such as Shennan Circuit, Desay SV, and Shenghong Technology in the computer industry also ranked among the top ten in research activity, with 29, 22, and 24 visits respectively this month. Shennan Circuit’s research content mainly centered on how AI computing infrastructure drives PCB (printed circuit board) business, Shenghong Technology highlighted its technological advantages in PCB, and Desay SV showcased new businesses like its robot intelligence platform AICube. This indicates that key segments of the AI industry chain—from core hardware (like PCBs) to intelligent applications (such as automotive electronics and robotics)—are receiving significant attention from public fund institutions.
From an industry perspective, 12 first-level industries in the Shenwan classification were heavily focused on this month, each with no less than 20 research visits. The electronics industry received the most attention, involving 28 stocks and totaling 253 visits, leading all other sectors. The machinery equipment industry ranked second, with 25 listed companies researched and 172 visits, including stocks like Guangli Technology, Wolder, and Planet Graphite, each with at least 10 visits.
JiaShi Fund Shows the Most Active Research
In terms of institutions, 47 public fund organizations conducted at least 10 research visits this month. Among them, Jiashi Fund led with 35 visits, mainly focusing on electronics, machinery, and electrical equipment industries, researching stocks such as Jingchen Co., Ltd., Tiannai Co., Ltd., Jinlang Technology, and Shennan Circuit. Bosera Fund followed closely with 31 visits, mainly covering electronics and biomedicine, including companies like Kaili Medical and Jingchen Co., Ltd. FuGuo Fund ranked third with 27 visits, with electronics as a key focus. At the same time, FuGuo Fund also showed interest in traditional industry leaders, such as conducting three visits to textile chemical supplier Runtu Co., Ltd., indicating a balanced approach to technological innovation and traditional industry stability.
Additionally, funds like Huaxia Fund, E Fund, and Huitianfu Fund also conducted over 20 research visits this month, mainly focusing on technology-intensive industries such as electronics, machinery, and computers, reflecting ongoing attention from public fund institutions to the growth of the tech sector.
Regarding current research hotspots and market structure, Guo Liangliang, fund manager of Furong Fund, told Securities Daily: “Although the technology growth sector has performed strongly since 2025, with some sub-sectors experiencing significant gains, from the perspectives of industry prosperity, performance realization, and valuation matching, many sub-sectors still hold ongoing investment value.”
Guo further analyzed that: First, the computing power sector. Although fields like optical modules and PCBs have seen large gains earlier, benefiting from clear growth in computing demand, their performance growth remains significant, and current valuations are reasonable relative to earnings, with potential for “Davis double hits” in the future. Second, the reshaping of supply chains driven by new technologies. Cutting-edge technologies like CPO (co-packaged optics) are moving from R&D to large-scale application, which will reconstruct upstream and downstream industry chains and open new growth opportunities for supporting companies. Third, the storage sector. This cycle is not just about price increases but driven by fundamental industry paradigm shifts. Fourth, AI applications and humanoid robots. As AI moves from “computing power competition” to “application monetization,” commercialization in finance and healthcare is accelerating; humanoid robots are expected to enter mass production around 2026, with significant growth potential in core components and complete machine manufacturing, potentially becoming new growth engines for the tech sector.
Changcheng Fund manager Shu Wenyu told Securities Daily: “We will continue to look for marginally changing sub-sectors within the AI logic. From the perspective of performance realization, hardware related to computing power remains the main investment focus, with particular attention to technological iteration in optical modules, PCBs, data center power supply demand, and major events in embodied intelligence and commercial aerospace.”