Anthropic’s IPO is just the beginning! Could a wave of AI company IPOs reignite the global tech stock rally?

If AI investment over the past few years has been driven mainly by funding news, Anthropic’s IPO could usher the market into a new phase.
Its $1.4 trillion fully diluted valuation is not only a capital markets milestone for Anthropic, but also an important public-market benchmark for pricing the entire AI industry.
Investors will have the opportunity to assess AI companies’ growth potential, valuations, and commercialization performance through public markets.
This could further encour

The most frightening thing about prediction markets: News from around the world could all become a business!

Imagine opening your phone in the morning and seeing not just Bitcoin price movements, but the probability of a Fed rate cut, a tech bill passing, a World Cup champion, and whether a company will meet its profitability target.
This may sound a little crazy, but prediction markets are turning it into reality.
Traditional media tells you what happened, social media gets everyone arguing, while prediction markets go a step further and ask: What probability do you assign to this happening?

11.11 Wednesday afternoon, Zhongling Gold Silu

Gold showed an overall volatile, slightly bullish recovery trend intraday, but yesterday’s sharp decline had already disrupted the previous upward structure. The bearish impact from CPI data exceeding expectations has yet to be fully absorbed. This rebound is more of a sentiment-driven recovery after the “bad news was priced in,” with no new positive factors driving it, while selling pressure overhead remains. On the chart, gold found support and rebounded after retesting 4026, rose to near 4065 before meeting resistance and pulling back, and is

AI IPOs are creating wealth myths! Could the next explosive growth opportunity be in the AI industry chain?

Anthropic’s push for a $1.4 trillion valuation may prompt many investors to reassess the AI industry chain.
In the past, people focused on AI model companies. Then they started paying attention to GPUs. Now data centers, power, optical modules, storage, and networking equipment are gradually becoming market focal points as well.
The reason is simple: the more powerful AI models become, the more use cases they have, and the greater the demand for the infrastructure behind them may be.
Th

#xag #Gümüş No change; it continues moving within the wedge structure.
An upside breakout is expected in descending wedges like this. Therefore, there is a possibility of a rise.
A rise toward the 54-55 resistance is possible. If there is a close above the 54-55 area, the rise could continue to the 59 level.
If it closes above, the upper edge of the wedge will have been broken, creating the possibility of testing higher resistance levels. It could test the 62 and 70-71 areas.
On the downside, if it stays below the 48,5 low, it will break downward out of the wedge and the decline will continue

#OpenAI第三季度营收升至100亿美元 #WCTCS9
In my view, artificial intelligence has officially moved past its experimental phase and entered a period of serious commercialization; however, profitability remains the greatest challenge ahead.

While OpenAI’s latest figures are impressive, they also highlight why investors should be cautious about conflating revenue growth with a sustainable business model.

1. Revenue growth is real, but profitability is nowhere to be seen

According to reports published on November 10, 2026:

* Quarterly revenue reached approximately $10 billion—an increase of about 50% com

OpenAI's enterprise business is booming! Could enterprise customers—not ordinary users—be AI's real money-printing machine?

AI first took off when ordinary users realized that computers could actually understand what they said.
Writing articles, creating presentations, generating images, and writing code—AI quickly became part of everyday life.
But enterprise customers may be what truly transforms AI's business model.
Why?
Because ordinary users might spend a little over ten dollars a month on an AI subscription, while enterprise customers are willing to pay more for an entire team, business

Is Bitcoin’s 21 million cap really reliable? Can the network remain secure when block rewards reach zero?

One of Bitcoin’s most important design features is its total supply cap of 21 million coins. But many investors overlook one issue: over time, block rewards will continue to halve and are expected to gradually approach zero around 2140. Will miners still have an incentive to maintain the Bitcoin network then?

I believe this issue needs to be understood from three perspectives.

First, the 21 million cap has strong institutional stability. Bitcoin’s issuance rules are maintained by its op

We are tracking the decline wave formed at #xauusd #Altın and the subsequent movements.
A bearish 2-618 pattern is forming in the latest upward wave. Let me share its strategy as well.
The pattern’s reversal zone is 4096-4119. Stop: a close above 4148. The targets are 4013-3986.
We are also tracking another possibility, the Libra pattern.
If there is a decline from the current level or from the 4220 resistance, a bullish Libra pattern may form.
The pattern’s entry zone is the blue box at 3979-3928.
Stop: 3879. The first target is 4143. The next targets are 4220 -4399.
If the rise continues, t

$ON
UPDATE
#ON already breakout done. In this move we can see 60%+ drop here ✍🏻
#ONUSDT #ONBTC #Btc #Bitcoin #NFTs

Yesterday I said to short the rebound; ETH plunged to a low of 2003! A 127-point drop, with both target levels hit
Yesterday I made my view very clear: with U.S. stocks strong and crypto weak, the 2140–2160 resistance zone on a rebound was the place to short.
The market delivered its answer: the actual high was 2131.30, precisely rejected 8.7 points below resistance, then drifted steadily lower. The first target at 2070 was broken, and the second at 2030 was also breached. The low was 2003.57, exceeding expectations by 26.43 points.
$ETH ‌#美国10月CPI全面超预期

The AI compute arms race isn’t over yet! Could the next wealth opportunity be electricity and infrastructure?

Many people think competition in the AI industry is just a battle of models.
In reality, the real war may be happening in the data centers behind the models.
Training models requires compute, and running them requires compute too. The more users there are, the greater the inference demand, and compute consumption may continue to rise.
This creates an interesting business cycle: the more successful AI products are, the greater the demand for infrastructure; the more users there are, th

I woke up to massive 28 odds boom on @bagel_win.
From $0.9 to $26. All I did was copy @HottieBabeGem's trade.
If you use prediction markets and you're yet to try this feature on Bagel, you're missing out on a lot.
Check my video guide and get started.
Good morning everyone❤️

If you could give someone entering crypto today just ONE piece of advice, what would it be?
Would you tell them to:
- Learn before investing?
- Avoid emotional decisions?
- Understand wallet security?
- Manage their risk?
- Ignore unrealistic promises?
Drop your best advice. Someone might genuinely need to hear it today.
#CryptoAdvice #CryptoBeginners #DYOR #CryptoCommunity

Gotta say, it looks pretty good. Is it really that thrilling?

This move in crypto isn’t a pullback—it’s the start of a weakening trend.

U.S. October CPI rose 0.4% month over month, above expectations, while core CPI came in above expectations for the third consecutive month. The 10-year Treasury yield broke above 5% intraday, and the Dollar Index climbed above 102—the pricing anchor for risk assets is being pushed higher. Spot BTC and ETH ETFs saw net outflows for three consecutive days, with outflows of $201 million and $185 million, respectively, on November 9. Institutions are pulling back. The Fear and Greed Index fell to 29, with sentiment shifting

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In cryptocurrency trading, many people spend a lot of time studying candlestick charts, indicators, and trading strategies, yet overlook a harder problem to solve: their own emotions.

Why do some traders have decent trading systems but still end up losing money repeatedly? Often, the problem isn't the market, but emotions affecting execution.

First, FOMO (fear of missing out). Seeing BTC suddenly rise, they fear missing an opportunity and chase the price regardless of its level, only to face a pullback right after entering.

Second, greed. They have already reached their take-profit target,