#AI科技股大跌加密市场承压 #WCTCS9 The AI sector correction is weighing on the crypto market mainly through a decline in risk appetite. BTC and U.S. tech stocks now share the same pool of capital and leverage, so when the AI sector falls, institutions reduce their positions in both at the same time.

How the AI correction spills over into the crypto market
Same pool of capital: Hedge funds and multi-strategy funds invest in both AI stocks and crypto assets, and when risk controls are triggered, they sell both at once.
Bitcoin treated as a high-beta asset: On November 5, the Nasdaq fell 5.5%, and Bitcoin also dropped about 5.5%, falling below $76k.
Leverage cascade: About $1.2 billion in long positions were liquidated in a single day, pushing prices down even further than spot markets.

Impact of next week’s CPI and PPI
October CPI is expected to come in at 3.7% year-over-year, with core CPI at 2.6%. It is the last inflation report before the December rate meeting.
If the data comes in hot, rate hike expectations will rise, and AI stocks and BTC may come under pressure together;
If inflation cools significantly, both will have room to breathe.

How long will the correlation last
It will likely remain strong in the short term. The 30-day correlation between BTC and the Nasdaq is already above 0.6, near historical highs.
For the correlation to truly weaken, watch for these signals:
Bitcoin stops breaking down when U.S. stocks fall, or even strengthens against the trend.
Gold rises while Bitcoin falls again.
ETF net inflows resume, signaling that institutions are starting to rebuild positions.

For now, the key is whether CPI and the AI sector can stabilize. If neither does, it will be hard for BTC to stay out of the fallout.

#美股AI板块遭遇重挫 #每周来晒 This latest sell-off in U.S. AI stocks was a deleveraging-driven rout, but the AI trade has entered a deeper correction. From here, tech giants with stable cash flows look more attractive, while chip stocks need to be repriced based on valuations and expected returns.

Why it’s about more than deleveraging
The trigger was political: Democrats won both chambers, raising market concerns about tighter data center permitting and power-use regulations.
AI investment returns are being reassessed: Five cloud providers spent $556.9 billion on capital expenditures in the first nine months, exceeding their operating cash flow.
Positions were too crowded: Funds were all-in on AI infrastructure, and when the catalyst changed, concentrated liquidations by quantitative funds amplified the losses. How chip stocks, tech giants, and defensive sectors compare
Chip stocks: They fell the hardest, with the Philadelphia Semiconductor Index down 12.25% in one day, wiping out NVIDIA’s year-to-date gains. Demand has not peaked, but valuations need to come down first.
Tech giants: Microsoft fell much less because its free cash flow remains positive. Companies like this are better able to withstand rising financing costs.
Defensive sectors: Utilities and consumer staples fell the least, while funds also flowed into U.S. Treasuries and gold. But all eleven S&P 500 sectors fell this time, so defensive assets can only lose less and are unlikely to rise against the trend.

When to consider chip stocks
Restrictions on data center construction have not actually taken effect.
Cloud providers’ capital expenditures continue to grow and can be converted into profits.
The Philadelphia Semiconductor Index’s valuation is no longer being pushed lower, with its forward P/E now down to around 13x. For now, favor giants with strong cash flows like Microsoft; chip stocks may be worth considering once they stabilize.