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Beishui Trends | Beishui's net purchase of 1,275 billion yuan, and the new Xiaomi Pengcheng car is about to go on sale, Beishui is rushing to raise Xiaomi (01810) nearly HK$1.4 billion throughout the day

智通財經·09/07/2026 10:09:01
語音播報

The Zhitong Finance App learned that on September 7, in the Hong Kong stock market, Beishui traded a net purchase of HK$1,275 billion. Among them, Hong Kong Stock Connect (Shanghai) had net purchases of HK$798 million and Hong Kong Stock Connect (Shenzhen) had net purchases of HK$477 million.

The individual stocks that Beishui Net bought the most were Xiaomi-W (01810), Zhongji Xuchuang (03308), and China Life Insurance (02628). The individual stocks sold the most by Beishui Net were Jiantao Laminated Board (01888), Huahong Hongli (01347), and Changfei Optical Fiber Cable (06869).

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Hong Kong Stock Connect (Shanghai) active trading stocks

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Hong Kong Stock Connect (Shenzhen) active trading stocks

Xiaomi Group-W (01810) received a net purchase of HK$1,383 billion. On the evening of September 7, Xiaomi's autumn flagship new product launch will be officially held. The new Xiaomi car series, the three new range SUVs from Pengcheng, will be launched simultaneously. Xiaomi founder and CEO Lei Jun said that the cumulative delivery volume of Xiaomi cars exceeds 800,000. Lei Jun said at the Xiaomi Pengcheng technology conference on July 30 that Xiaomi Auto released the Xiaomi SU7 and Xiaomi YU7 models within two and a half years, with a cumulative delivery volume of more than 700,000 vehicles.

Optical communication concept stocks were significantly divided. Zhongji Xuchuang (03308) received a net purchase of HK$367 million, while Cambridge Technology (06166) and Changfei Optical Cable (06869) received net sales of HK$172 million and HK$300 million respectively. OpenAI officially released GPT-6 Astra. Galaxy Securities pointed out that Astra's announcement once again confirms that cutting-edge model training is still in an expansion channel that relies on huge clustering, heavy capitalization, and strong connectivity, and the computational power scale of model training is expected to continue to advance from the 10^26 Flops level to the 10^27 Flops level. Furthermore, Goldman Sachs covered Zhongji Xuchuang H shares for the first time and gave it a “buy” rating. The target price for 12 months was HK$3,267.

China Life (02628) received a net purchase of HK$230 million. The Ministry of Finance will inject 35 billion yuan into China Life Insurance Group. Damo said that for China Life Insurance Group, since the capital injection is still at the group level and the use of the capital has not been disclosed, the impact and potential dilution on listed entities is still unclear. Under extreme circumstances, Morgan Stanley estimates the potential dilution of China Life Insurance to be 3.2% based on the 20-day average price, but the actual dilution may be lower.

Alibaba-W (09988) received a net purchase of HK$156 million. On September 2, Alibaba Cloud's enterprise-level human and agent collaboration platform “Infinity” began public testing. Both enterprise users and individual users can register for the experience, and can use Ali's latest flagship model, Qwen3.8-Max. Furthermore, Qianwen Creative recently launched Agent Teams, covering scenes such as AI skits and comics.

SMIC (00981) and Huahong Hongli (01347) received net sales of HK$217 million and HK$582 million respectively. Huahong Honglibu announced that Huahong Semiconductor and a number of organizations will increase the capital of Wuxi Huahong Hongli Phase III Semiconductor Co., Ltd. to build a 12-inch specialty wafer foundry production line with a monthly production capacity of about 55,000 sheets. Furthermore, TSMC is expanding production on an unprecedented scale. With nearly 20 fabs being built simultaneously around the world, capacity expansion is still difficult to fully keep up with demand.

In addition, Tencent (00700), GigaYi Innovation (03986), and Jiantao Laminate (01888) received net sales of HK$45.34 million, $245 million, and HK$650 million respectively.