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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
NVDA-9.33%
AMD-17.64%
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The sharp drop yesterday was simple: the market had just surged the day before, then turned around and plunged hard.
The Nasdaq fell 6.5% in a day, with memory and semiconductor stocks hit even harder. The fear index surged, trading volume swelled, and everyone panicked. There were two main triggers: the US plans to restrict data centers and tighten AI expansion, and rumors of war in the Middle East. Risk assets were all sold off.
As for Bitcoin, the drop wasn’t mainly due to heavy internal selling pressure. It was mostly dragged down after the US stock market opened, when panicked investors s
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zcash activates nu7 on mainnet, bringing faster blocks, stronger shielded transaction protections, and a new mechanism for long-term network sustainability.

$ZEC $PRIVACY #GATE
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#USStocksFaceHistoricSelloff
Hunting for a Reversal in the SOXL Crash .
$SOXL ‌

The chart tells a dramatic story. SOXL, a 3x leveraged semiconductor ETF, has experienced a catastrophic drop, plummeting -38.19% to trade at $40.93. The price has sliced through the Bollinger Bands and moving averages like a hot knife through butter, driven by headline fears (as noted: "AI buildout fears hit chip stocks").

When an asset falls this violently, panic selling is common. However, for the technical trader, a massive sell-off often sets the stage for a sharp, equally violent bounce. The Gartley Patt
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KOL View: Tom Lee Remains Bullish on the AI Trade! With Tech Stocks Facing Repeated Sell-Offs, Is Th
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$ETH ‌-After the price broke out of the wave 4 channel shown in the chart, it immediately reversed back inside. Interpreting the price action this way, it could potentially be the formation of a micro wave 2, setting up for a bullish wave 5.
-Those with a bearish outlook might view this as a "false break."
-Therefore, using the most recent low (wave 4) as an invalidation level is a prudent risk management step for any long positions.
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ETH-1.26%
Good morning familia.
Rise and grind.
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#USTechSelloff AI Infrastructure Sold, Applications Next? What the 5 November Closes Say About Rotation

Thursday's close showed how sharply the AI trade came apart. Chips and data-center names took the heaviest losses, while the software and platform names held up better. The question now is whether that gap is the start of a rotation from AI infrastructure into AI applications, where the revenue is more immediate and the capex risk is lower.

What the closing prints show

From the Gate feed's 5 November closes: Alphabet closed at $282.57, down 2.20%. Microsoft closed at $535.93, down 3.58%.
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#USStocksFaceHistoricSelloff
Tech Tumble: Wall Street Suffers Sharp Sell-Off as AI Trade Unravels
​U.S. technology stocks took a severe beating, dragging Wall Street into its steepest slump in months as investors rapidly reassessed valuations and capital spending across the sector. The tech-heavy Nasdaq led the downturn, sliding over 5% into official correction territory. The broader S&P 500 and Dow Jones Industrial Average followed closely, each shedding substantial ground.
​The rout was heavily concentrated in the semiconductor and AI infrastructure ecosystem. Chipmakers bore the brunt of
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$PI Xiaopaipai took 2 Viagra pills and was relatively erect and firm.
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What Is Trade Expectancy? How Can Win Rate, Average Wins and Losses, and Trading Costs Help Determine Whether a Strategy Has a Long-Term Edge?

In cryptocurrency trading, making money with a strategy in the short term does not mean it will work over the long term. Getting lucky and catching one big market move may hide problems with the strategy itself. Trade expectancy helps us evaluate a strategy overall, rather than judging it based on just a few wins or losses.

First, what is trade expectancy?

Trade expectancy is the average potential return per trade when repeatedly trading according to
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$SNDK ‌
#USStocksFaceHistoricSelloff SNDKUSDT perpetual contract is currently exhibiting a clear bearish reversal structure on the 15-minute timeframe. Following an initial upward thrust, the asset has completed a classic Head and Shoulders topping formation, signaling a shift in market control from buyers to sellers.

Pattern Identification and Breakdown.

The price action formed a definitive three-peak structure. The initial rally created the left shoulder, followed by an aggressive push to the peak of the pattern (the head) at 879.88. The subsequent bounce failed to reach the prior high,
SNDK-22.24%
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Making money the honest way is boring, isn’t it?
$MU $SKHY $BTC
Keep buying as it falls, and buy more the further it drops.
The lower it goes, the more boldly you should buy.
That’s the only way to make big money and strike it rich!
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How do you create a BTC trading plan? Build a truly actionable trading process!

In BTC trading, many people watch the market and study indicators every day, and often adjust their views based on market changes. But when it comes time to trade, they don’t know where to enter, how much they can afford to lose before exiting, or when to stop trading.

The problem often isn’t a lack of analytical tools, but the absence of a complete trading plan.

First, determine the market direction. Before opening a position, observe BTC’s higher-timeframe trend and decide whether the market is rising, falling
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BTC-0.65%
$DOGE /monthly
#Dogecoin is forming the third Launch Pad ❇️
The first two sat inside the same channel, consolidated, then took off.
Price is now back at the same spot in the channel, building the base for the next launch 🚀
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$HYPE This time it's genuinely a bit awkward! More good news from the U.S. regulated market, yet the token price fell nearly 7% and couldn't even hold $80.

On November 6, HYPE was trading at around $77.64, after falling as low as $76.24. Just a few days ago, it surged to $97; now it's given back about one-fifth of its gains.

First, the news.

Hyperliquid Strategies recently disclosed that a subsidiary is applying for U.S. futures commission merchant (FCM) status, preparing to offer compliant trading accounts for HIP-3 markets.

This is significant, but note that it's only an application and
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CRYPTO MARKET AND CONCEPTS
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Your trading strategy is probably lying to you. Qubic's AI team just published the three mistakes that fooled their own research, and they are the same ones that wreck traders.
First, what they released.
Qubic's science team made public 155,192 evolved AI brains built for ARC AGI 3, one of the hardest AI benchmarks around.
They run on ordinary CPUs, with no GPUs and no large language models.
Here is why that matters.
Most of today's AI runs on expensive GPUs and giant language models like ChatGPT. These brains are tiny networks, some with fewer than 200 neurons, inspired by how real brains le
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11.06 Qiqi Lun Jin Midday Review: Gold continued to weaken and probe lower intraday, with bears holding the upper hand ahead of Nonfarm!

Gold prices maintained a weak pace intraday, fluctuating lower all the way and hitting a low of 4035.86, with the current price hovering near the lows around 4047. The market priced in bearish expectations early, as funds took profits ahead of the Nonfarm release, putting clear pressure on prices.

Short-term moving averages continued to cap prices, while bearish momentum on the MACD expanded somewhat. Overall, the market remained in a weak consolidation pat
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What Is Position Sizing, and Why Can Oversized Positions Knock You Out Early Even If Your Trading Strategy Has an Edge?

In crypto trading, correctly predicting market direction is important, but how much capital you commit to each trade also determines whether your account can survive over the long term. Even a strategy with positive expected returns can cause losses that are difficult to recover from if your position is too large and an unexpected price swing or a string of losses occurs.

First, what is position sizing?

Position sizing is the process of deciding how much capital to allocat
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U.S. stocks suffered a sharp selloff on Thursday, with the Nasdaq closing down more than 5% and the Philadelphia Semiconductor Index falling over 12%. AI and chip stocks including $NVDA and $AMD were hit especially hard. Markets are reassessing AI valuations, data-center spending and future returns. Is this just short-term deleveraging, or the start of a deeper correction in the AI trade? Which sectors are you watching next?

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