Democrats take power in the midterms, and the AI bubble arrives;
Just when data is needed most, the choice is to ban accounts across a large number of regions;
More and more executives are leaving Anthropic ahead of its IPO.
—With timing, conditions, and support all against it, Anthropic has none of them on its side in this IPO😮‍💨
Blackstone rates it a “junk-grade” stock. Anthropic has made a colossal mess of things—who does it think it's fooling?
In the weeks leading up to its IPO, Anthropic pushed its hype around “safety,” “alignment,” and “responsibility to humanity” to the extreme. But a

$AGRIPPA Prepare $15K to wipe out Short orders 🎯🚨🚀🔥🔥🔥🔥🔥🔥🚀🚀🚀

$APP Short position entered! The daily chart is due for a downward correction! Position for a high-level short in advance! Target: 311. If you're not in a position, short at the current price! Wait patiently for the waterfall!

Scumbag Watch: CL, Update 11.6
U.S. stocks plunged yesterday, but the scumbag’s CL long position turned out to be a safe haven.
Of course, the scumbag still plans to close out around 94.

I’m calling it quits; market manipulators can play by themselves now. Thanks! The real plunge will happen tonight! But it won’t be the last one! #美股史诗级抛售

Pre-Trade Checklist: Answer These 7 Questions Before Placing an Order

In the cryptocurrency market, many traders have had experiences like these:

They see the market rising, worry about missing out, and rush into a trade.

They see the price falling, worry their losses will grow, and change their stop-loss on the fly.

After making a few consecutive profitable trades, they start increasing their position size.

After a loss, they rush to make the money back with the next trade.

Taken individually, each decision seems to have its own rationale.

But when you look at these decisions together,

Alright, now we know the economic environment is bad 😓

What is the risk-reward ratio? Why can a trade have long-term value even if its win rate is low, as long as risk is managed reasonably?

In cryptocurrency trading, many people focus too much on win rate, believing that they need to make frequent correct calls to make money. But long-term trading results are not determined by win rate alone; the amount gained or lost on each trade also matters. The risk-reward ratio is an important tool that helps traders assess whether a trade is worth taking.

First, what is the risk-reward ratio?

The risk-reward ratio typically compares a trade’s potential

$KORU LONG ‌
Entry 6.83
TP 8.00
TP 9.06
SL 5.97
Going Buy long $KORU ‌here. After that massive sell-off, buyers are finally showing signs of recovery around the $6.30 zone. I’d be happy with a move toward $8.00, and if bullish momentum continues, I’ll see whether it has anything more to give.

🚨 JUST IN: 🇺🇸 Elizabeth Warren is expected to lead the powerful Senate Banking Committee after Democrats retake control of Congress.
The longtime crypto critic could have major influence over US crypto regulations, Wall Street oversight, and Trump’s crypto ventures.
A potential major headwind for the US crypto industry.
#Crypto #Bitcoin #ElizabethWarren

An AI company's medical checkup report, with its most crucial section blacked out.
Anthropic, the developer of Claude, let METR, a nonprofit focused on studying the risks of AI going out of control, spend 11 weeks inside the company.
The conclusion is alarming: Anthropic's progress over the past year was roughly equivalent to its progress over the previous two years. METR estimates that about 80% of this acceleration came from AI helping develop AI.
One researcher said coding is no longer the bottleneck; only ideas and computing power are holding him back.
The report also included three intern

I’m dying laughing—Teacher Cang has jumped on board $BTC
too. I’m calling this an overwhelmingly bullish signal. Disagree? Come argue!
I sincerely urge Teacher Cang to stay away from crypto contracts, or she may have to go back to her old line of work 🤐
Risk warning: The above is solely my personal opinion and does not constitute investment advice. The crypto market is highly volatile; please exercise caution when investing.

Dan Bin was still buying the dip before the plunge🤪🌚

Is 75,000 the floor or the gateway? Tonight’s nonfarm payrolls will provide the answer#10月非农数据聚焦

Nvidia falls 9%, AMD plunges 17%! Has the AI bubble finally burst? Wall Street suddenly realizes: Burning money is easy; making money is hard!

If there was one belief that defined U.S. stocks over the past two years, it was AI. Any company with a connection to artificial intelligence seemed to come with its own rocket engine. But on Thursday, the market suddenly turned: the Nasdaq plunged 5.5%, AMD tumbled 17%, and Nvidia fell more than 9%. Investors are finally asking the million-dollar question: When will AI actually start making enough money?

The problem isn’t that AI lacks potential, but

The data looks off. $UVXY is currently at 22.67, up 36.32% in 24 hours, with a high of 24.82 and a low of 16.25—going from 16 to 24 in a single day isn't ordinary volatility; panic buyers are scrambling to get in. Trading volume hit 175.4 million, with volume exploding.
Three possibilities: first, the market is pricing in a tail risk, and smart money is hedging early; second, a short squeeze combined with volatility mean reversion—once an asset like UVXY takes off, the rally can be explosive; third, someone is using UVXY as a short-term panic hedge, suggesting institutions are reducing spot e

#USStocksFaceHistoricSelloff $NVDA $AMD $SPX
‍#美股史诗级抛售 #DailyStandouts #ShareWeekly
The AI Trade Is Being Repriced. The Next Question Is Where the Money Goes.

Thursday's market action was a serious warning for investors who had become comfortable with the idea that AI-related stocks could keep rising regardless of valuation. The Nasdaq dropped 5.52%, the S&P 500 lost 4.36%, and the Philadelphia Semiconductor Index plunged 12.25%. Nvidia fell roughly 9%, while AMD lost more than 17%.

This was not just a weak session for a handful of expensive stocks. Selling spread across semiconductors, da