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Cheetah Mobile (CMCM.US) will release its Earnings Reports before the market opens on December 17.
$Cheetah Mobile (CMCM.US)$ will release its Earnings Reports before the market opens on December 17, and investors should pay attention. How was the previous performance? $Cheetah Mobile (CMCM.US)$ reported a revenue of 0.187 billion yuan and a net income of -0.121 billion yuan for Q2 2024, with an EPS of -4.21 yuan. The accounting standards used for the above data are US_GAAP. Futubull reminder: 1. There are no strict regulations on the accounting year division for companies listed in Hong Kong or the US; it is entirely up to the companies to decide, so each financial report period can be considered as the cut-off date for the company's annual report, rather than following the natural year as the fiscal year.
China Central Economic Work Conference: A Key Indicator for Future Market Trends
Cheetah Mobile To Report Third Quarter 2024 Financial Results on December 17, 2024
Tonight, Chinese concepts soared! The nasdaq Golden Dragon index surged by 10%, while fangdd network doubled directly.
Some analysis indicates that the Political Bureau meeting first mentioned stabilizing the stock and real estate markets, and the US stock market quickly rallied on china assets. The 3x Long FTSE china etf surged over 26%, the 2x Long china internet plus-related stocks rose over 22%, the 2x Long FTSE china 50 ETF increased over 17%, and the 2x Long 300etf gained nearly 15%.
China Will Adopt a "Moderately Accommodative" Monetary Policy in the Next Year, The First Shift to Easing Since 2011
Cheetah Mobile's Fu Sheng: The competition of AI large models is fundamentally a competition for data.
Sina Technology News, on the morning of December 3rd, recently, Fu Sheng, Chairman and CEO of Cheetah Mobile, and Chairman of OrionStar, pointed out in communication with media such as Sina Technology that, currently, whether discussing the battle of hundreds of models or thousands of models, the core of competition among various companies is essentially the competition of data. "In the entire ai industry, what ultimately determines the basic capabilities of models is some annotated data. How to identify high-quality data, and combine it closely with applications, is the key to winning." "In the competition of large models, the real competitive barrier comes from data. It's not that chips are unimportant, it's not that algorithms are unimportant."