cryptocurrency crypto currencies Top Knowledge

China's one-year interest rate swap hit a four-year low, and China's one-year interest rate swap (IRS) fell sharply this week, falling below the 1.50% mark for the first time since 2020. The data shows that the one-year interest rate swap was still around 1.50% at the beginning of Wednesday, and once fell to 1.4825% in the previous session, setting a new low since May 2020.The Hang Seng Science and Technology Index rose to 1%, and the Hang Seng Index is now up 0.70%.The central bank conducted a 7-day reverse repurchase operation of 78.6 billion yuan today, and the winning bid rate was 1.50%, which was the same as before. As 41.3 billion yuan of 7-day reverse repurchase expired today, the net investment on that day was 37.3 billion yuan.

Del Co., Ltd.: The solid-state battery trial production line that the company is preparing is used for sample trial production. Del Co., Ltd. said on the interactive platform that the trial production line that the company is preparing is used for sample trial production, and the application scenarios of solid-state battery products in the future are very wide, including power batteries, consumption, energy storage and many other fields.The central bank conducted a 7-day reverse repurchase operation of 78.6 billion yuan today, and the winning bid rate was 1.50%, which was the same as before. As 41.3 billion yuan of 7-day reverse repurchase expired today, the net investment on that day was 37.3 billion yuan.Yongtai energy ranked first in the exposure of leveraged capital stocks. On the last trading day (December 10th), a total of 2,076 stocks were bought by financing, and 28 stocks had a net purchase amount of more than 100 million yuan. Oriental Fortune ranked first in the net purchase of financing, with a net purchase of 388 million yuan; The top net purchases of financing were Zhongji Xuchuang, Iflytek and Wanxing Technology, with net purchases of 316 million yuan, 297 million yuan and 265 million yuan respectively. Sellers, Luxshare and Gree Electric were among the top sellers, with the amounts of 369 million yuan, 207 million yuan and 181 million yuan respectively.

Wei Shaojun, China Semiconductor Industry Association: The domestic chip design industry has returned to the double-digit high-speed development track. At the Shanghai IC Industry Development Forum 2024, Wei Shaojun, chairman of the IC Design Branch of China Semiconductor Industry Association, said that it is estimated that the domestic chip design industry sales in 2024 will be 646.04 billion yuan, an increase of 11.9% compared with 2023, returning to the double-digit high-speed development track, and the proportion of the global IC product market will be basically the same as last year. In terms of the distribution of industrial cities, Shanghai, Shenzhen and Beijing continue to occupy the top three cities in the scale of design industry this year. Among them, the scale of chip design industry in Shanghai has reached 179.5 billion yuan, which is further widened compared with that in Shenzhen. The scale of design industry in Wuxi has reached 67.82 billion yuan, surpassing Hangzhou and ranking fourth. In 2024, the number of chip design enterprises with sales exceeding 100 million reached 737.Yongtai energy ranked first in the exposure of leveraged capital stocks. On the last trading day (December 10th), a total of 2,076 stocks were bought by financing, and 28 stocks had a net purchase amount of more than 100 million yuan. Oriental Fortune ranked first in the net purchase of financing, with a net purchase of 388 million yuan; The top net purchases of financing were Zhongji Xuchuang, Iflytek and Wanxing Technology, with net purchases of 316 million yuan, 297 million yuan and 265 million yuan respectively. Sellers, Luxshare and Gree Electric were among the top sellers, with the amounts of 369 million yuan, 207 million yuan and 181 million yuan respectively.IBM's new optical technology can greatly speed up the training of AI models. IBM announced the development of a new optical technology, which can train AI models at the speed of light and save energy greatly. The company said that by applying this breakthrough to the data center, the energy saved by training an AI model is equivalent to the energy consumption of 5,000 American families in one year.