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XPeng Motors continues to lead the intelligent driving sector! The Hang Seng Tech ETF Tianhong (520920) had a net inflow of 2.33 billion yuan over the past 20 days, while the Hong Kong stock tech ETF Tianhong (159128) attracted over 430 million yuan in the same period.
As of midday close on March 12, 2026, the Hang Seng Tech ETF Tianhong (520920) traded 108 million yuan. The Hang Seng Tech Index (HSTECH) it tracks declined by 1.21%. The top-performing component stocks were XPeng Motors-W, followed by Huahong Semiconductor and NIO-SW, which saw the largest gains.
As of March 11, the Hang Seng Tech ETF Tianhong (520920) increased its size by 5.705 billion yuan over the past three months, achieving significant growth. The latest shares outstanding reached 19.705 billion, a new high since inception.
In terms of capital inflow, the Hang Seng Tech ETF Tianhong (520920) had a net inflow of 16.0668 million yuan. Over the past 20 trading days, it has attracted a total of 2.33 billion yuan.
The Hong Kong Stock Tech ETF Tianhong (159128) had a turnover rate of 2.14% with a transaction volume of 49.0473 million yuan. The index it tracks, the CSI Hong Kong Stock Connect Tech Index (987008), fell by 1.47%, but component stocks XPeng Motors-W and Huahong Semiconductor rose against the trend.
As of March 11, the Hong Kong Stock Tech ETF Tianhong (159128) increased its size by 950 million yuan over the past three months, with an increase of 14.7 million units in the past month, showing significant growth.
In terms of capital inflow, the Hong Kong Stock Tech ETF Tianhong (159128) attracted a total of 432 million yuan over the past 20 trading days.
【Product Highlights】
The Hang Seng Tech ETF Tianhong (520920) closely tracks the Hang Seng Tech Index, focusing precisely on leading Hong Kong tech companies. Through the QDII mechanism, this ETF can also invest in high-quality tech listed companies such as NetEase, JD.com, and Ctrip that are not included in the Hong Kong Stock Connect.
The Hong Kong Stock Tech ETF Tianhong (159128) offers flexible trading options, with all constituent stocks being eligible for Shanghai-Hong Kong and Shenzhen-Hong Kong Stock Connect, not limited by QDII quotas, and supports T+0 trading.
【Related Products】
Hang Seng Tech ETF Tianhong (520920), corresponding to the OTC connect fund (Class A: 012348; Class C: 012349).
Hong Kong Stock Tech ETF Tianhong (159128), corresponding to the OTC connect fund (Class A: 024885; Class C: 024886).
【Hot Events】
Goldman Sachs: XPeng Motors Maintains Leading Edge in Autonomous Driving
On March 12, amid market volatility in Hong Kong stocks, XPeng Motors-W rebounded strongly, once rising over 4% against the trend.
Recently, XPeng Motors held the launch event for the XPeng G6 Super Extended Range SUV, positioned as a six-in-one AI extended-range vehicle. Starting March 11, XPeng opened test drives of the second-generation VLA intelligent driving system at 732 stores nationwide, covering models such as P7 Ultra, G7 Ultra, X9 Ultra, and P7+ Ultra. From late March, the Ultra series will be fully upgraded, and by April, more models will be included.
Notably, on March 9, XPeng Motors hosted an investor experience day for VLA 2.0 in Guangzhou, where Goldman Sachs team members test drove the latest P7 equipped with VLA 2.0 NGP. Goldman Sachs reported that during the test drive, the vehicle achieved smooth, human-free operation for over an hour in complex scenarios including busy traffic, narrow curves, pedestrians, and motorcycles, with core functions like automatic lane changes performed smoothly and naturally.
【Institutional Views】
Everbright Securities pointed out that the competition in the AI industry is gradually shifting from model capability to computing power and Agent ecosystem. The industry chain segments are accelerating integration and implementation, with Hong Kong tech stocks positioned at a critical point in the AI ecosystem. The Hong Kong market gathers core tech companies such as Chinese internet platforms, cloud service providers, and AI technology firms, covering key segments like computing infrastructure, AI model capabilities, application scenarios, and commercial monetization, forming a complete “technology-scenario-monetization” closed loop.
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