Michael Burry's logic this time is very clear, pointing directly to the core pain point of the current AI bubble: 1. Debt Heard: Oracle has shouldered up to $95 billion in debt in order to build the AI cloud center. 2. Capital expenditures are out of control: He believes that Oracle's massive investments may stem from management's "Ego" rather than actual needs. 3. The structure is fragile: unlike Microsoft or Google where there is multi-business support, Michael Burry believes that Oracle's high stakes on AI are extremely high.

$CIG(06166)$ profit taken

Trump announced approval for H200 exports to China, as long as 25% of its revenue is turned over to the US government Will China take it$英偉達(NVDA)$  

$YIHAI INTL(01579)$ Good divident

$JOYSON ELEC(00699)$ Cut

The current president is Trump. His logic is to apply extreme pressure, not to play cards according to the rules, not to go through Congress, not to the United Nations Is there anything else impossible ?

$CSOP HANG SENG INDEX DAILY (-2X) INVERSE PRODUCT(07500)$ Testing with a small bet . Add if keep going down as 

$英特爾(INTC)$  ( Bull Case): The rise of edge AI (Edge AI) and AI agents has brought back computational demands from pure GPUs to heterogeneous architectures with 'CPU + GPUs. Intel's advanced packaging capacity became a scarce resource in the market. With the strategic support of the US government, its geopolitical moat is irreplaceable.

Tesla's post-performance tumbled 3.6% as Musk announced that it would burn more than $25 billion this year, putting negative pressure on short-term cash flows. The cloud giants are stuck in the prisoner's dilemma: Investing in AI now might get punished by shareholders for not paying enough short-term returns, but if not, you might be eliminated entirely

As the world's largest mobile operating system, Android has built a near-zero entry for Google's traffic. Through pre-installed search, Chrome, and YouTube applications, Alphabet has transformed 3 billion device users into sustained cash flow. More importantly, the massive amount of behavioral data (search records, location information, etc.) generated by the system has become the exclusive nutrient for training the Gemini large model, forming a self-reinforcing flywheel for "data AI-monetization". In fact, Google's seven major products have a user base of over 2 billion, creating the largest digital ecosystem in human history. When users leave their footprints on platforms such as search, YouTube, and maps simultaneously, the data synergies are exponentially amplified. This ecological col