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More and more people are waking up. I don't know if that's a good thing or a bad thing.
What do you mean, your social security is hitting you?
I don't even know how to respond to that 🙈
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#GoldmanSachsRemainsBullishOnDataCentersDespiteTheAISelloff

*Goldman Sachs Remains Bullish on Data Centers Despite AI Selloff*
While AI equities face near-term selling pressure, Goldman Sachs is maintaining its *bullish stance on data center infrastructure.*

According to Goldman Sachs Research, the AI selloff is a market repricing, not a slowdown in underlying infrastructure demand. Data centers remain core to the AI buildout, with hyperscale capacity demand resilient and AI server spending projected to grow from *$60B in 2023 to over $100B+ in 2025.*

Key drivers: Cloud and AI workloads dri
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BTC ETH MARKET PREDICTION
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LIVE84
The Nightmare of Every Trader!
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  • 1
Michael Saylor Explains the Financial Thinking Behind Strategy’s $STRC

Michael Saylor is connecting four centuries of financial evolution to Strategy’s digital credit product, Stretch ($STRC).

His argument is that each stage introduced something new to financial markets:

* Common stock separated ownership from investment.
* Preferred stock introduced priority claims and defined returns.
* Tax rules created ways to structure capital returns.
* Bitcoin introduced a new type of corporate reserve asset.

STRC brings these ideas together.

Bitcoin supports Strategy’s balance sheet, preferred sto
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STRC+0.34%
BTC-0.67%
Everybody needs to understand this.
Way too many people care about always being right.
And that is not the game you should be trying to play.
A smart investor uses the data and probabilities to formulate a thesis.
But a thesis can ALWAYS be wrong.
You can never know for sure if your ideas will be correct, but, you have to take action and therefore, take risk.
So when we do that, we want to make the decisions that the data is telling us are the most likely.
For example, right now.
We have so many people flipping bearish or staying bearish at the end of 5 weeks of down, after bearish structure
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$SIGN ‌ just showed some serious volatility. Is a reversal finally brewing?

SIGN is trading near $0.00937 after briefly dipping to $0.00828 and bouncing sharply.

That long lower wick suggests buyers stepped in, but the daily trend remains bearish below the Supertrend at $0.01133.

Key levels I'm watching:

Support: $0.0090
Major support: $0.00828
Immediate resistance: $0.0106
Breakout zone: $0.0111–$0.01133

A sustained move above $0.01133 could signal a stronger recovery. Losing $0.00828 would put sellers back in control.

Interesting reaction from the lows, but bulls still have work to d
SIGN-2.90%
AMD+11.55%
👀 THE NEXT VIRAL #MEMECOIN COULD BE HIDING IN PLAIN SIGHT! 🚀
Who's holding a low-cap gem before it gets the spotlight? 💎
Shill your strongest 1000X candidate below! 👇🔥
Let's discover the next big community together.
#Memecoins #Crypto #1000XGems #Altseason
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MEME-0.94%
French bank resumes transfers after $133M hack, crypto loss still unconfirmed
Arkéa says attackers used its own account through a provider's platform, while a separate $108.8 million USDC trail leaves the bank-to-crypto link unproven.
Quick Take
⚠️ Personal market analysis only. NFA — manage risk and DYOR.
Educational content, not investment advice or a recommendation to buy, sell, deposit, or withdraw any asset. No paid promotion or referral/affiliate links.
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USDC+0.01%
  • 1
I woke up shivering.
I keep coughing and have a runny nose.
I'm still cold even under two duvets.
What's happening to me?
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$ACT It posted an 11.84% green candle over the past 24 hours, and the sentiment gauge flashed two extreme readings: the Fear & Greed Index surged to 78 (the upper end of the greed range), while the funding rate hit +0.035% (longs are paying, and positioning is crowded). How do these readings compare with historical levels? Over the past three months, ACT’s funding rate has risen above 0.03% only twice: once in early February, when it spiked to 0.0145 before pulling back 18% over two days, and once in mid-March, on the eve of a sideways stretch. The pattern is clear: once longs push the funding
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Core Automation trained one AI model in two data centers 9,000 miles apart, and it came out about 1% better than training in one place on the same compute.
The US and Asian sites only had to exchange updates every 50 training steps. I like these types of tests.
OpenAI CFO: Data center investments will not change due to the midterm elections.
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$EPIC A pullback stopped me out at breakeven. I’m seriously losing it—this shakeout completely threw me off. I had my stop-loss at 0.0845, then added to my position after the breakout and moved my stop to breakeven. If I hadn’t set a stop... but there’s no point in what-ifs. I was sure I’d capture today’s top gainers. I’m mentally exhausted. I’ll take some time to regroup
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$ACT
UPDATE
#ACT looking for breakout. We can see 60%+ gain here ✍🏻
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$ONE The market makers are weak—why can’t they pump me into liquidation?
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Bought $DELTA @deltaliquidity here on the capitulation/FUD
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*#USAIStocksHitHard — AI Sector Faces Sharp Correction*

US AI stocks have been hit hard, with Wall Street sentiment turning sharply bearish. The Nasdaq slid -6.8%, S&P 500 -4.2%, and volatility spiked +35% with VIX at 32.4.

Leading the selloff: *Nvidia -32.5%, Palantir -28.7%, AMD -24.1%, Microsoft -12.3%*. The AI sector has lost over *$1.2T in market cap in just 5 days*, with the average AI stock index down -22%.

What’s driving the crash?

1. *Export Controls:* New restrictions on AI chip exports raise growth concerns.
2. *Earnings Misses:* Weaker Q3 outlooks across the AI sector rattle
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NVDA+2.80%
PLTR+3.57%
AMD+11.55%
MSFT-0.95%
SPX500+0.19%
Liu Yifei was absolutely stunning back then, wasn’t she?
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USAIStocksHitHard

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U.S. stocks sold off sharply on Thursday, November 5 (UTC). The Nasdaq closed down around 5.5%, entering correction territory, while the Philadelphia Semiconductor Index plunged roughly 12%, with chip stocks including $NVDA and $AMD posting steep losses. Beyond profit-taking, investors are growing concerned about the pace of AI data center construction, capital spending, and future returns on investment. The key question now is whether the AI sector’s lofty growth expectations need to be repriced. Where do you think the next opportunities will emerge: chip stocks, tech giants, or other sectors?

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