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The market is expected to remain range-bound between 63300-64000 during the day.
Currently, watch for liquidations around 64000-64700-65300 above; strong liquidations around 66300 should be sufficient.
Below, watch for liquidations around 63100-62600-61800; for strong liquidations, watch around 60800.
The PPI and weekly jobless claims data will be released tonight, and market volatility is expected to be high. Pay attention to risk control and defense. ​​​
#GateLaunchpool瓜分141万枚DOS #Gate用户规模突破5900万 #Gate7月透明度报告发布
ETH-1.86%
BTC-1.17%
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Put $13 into the gold account and successfully bought the dip at the bottom.
Making money actually isn’t that hard—just manage your position size.
Profit is only a matter of time.
GLDX-0.39%
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ActingLikeAPig:
Opening a position with 10u and 500x leverage, then talking about controlling position size—isn’t that just self-deception?
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The range given by Midday Silk Road was hit perfectly; after bottoming out, it rebounded directly, capturing 32 points of upside! #外汇黄金 #黄金
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I got shares from the gacha, but in my opinion, the rewards are too lousy and not worth the risk we take. I immediately converted my SPCX share earnings into GT tokens, and so far I have collected 0.1 SPCX. $SPCXG
SPCXG8.76%
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#StockTradingShareChallenge
Stock Trading Share Challenge
VELVET/USDT and the Broader Crypto Market: Momentum, Consolidation, and Key Market Signals
VELVET/USDT is currently attracting significant attention due to heightened volatility and a strong upward move. The chart shows VELVET trading around 0.72341 USDT, with a 24-hour gain of approximately 61%, a high near 0.88808 USDT, and a low around 0.42073 USDT. The structure reflects a recovery phase following a sharp correction, although broader crypto market conditions continue to play a decisive role.
Price data may vary slightly across exch
VELVET18.79%
BTC-1.17%
ETH-1.86%
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FlamingoFacingJudgment:
The analysis is quite detailed. The 0.80 and 0.888 levels are indeed tough hurdles; before a breakout, they are just paper gains.
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#BigShortBurryBearsAI
BURRY'S AI BEARISH VIEW RAISES A BIGGER QUESTION: IS THE AI BOOM CREATING REAL VALUE OR JUST PRICING IN TOO MUCH FUTURE GROWTH?
The artificial intelligence trade has become one of the strongest narratives in global markets, but every major bull market eventually faces the same question: how much of the future has already been priced into today's valuations?
That is where the bearish argument associated with Michael Burry becomes interesting.
The important point is not simply that a famous investor is bearish on AI-related stocks. The bigger issue is whether the market ha
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#BigShortBurryBearsAI
BURRY'S AI BEARISH VIEW RAISES A BIGGER QUESTION: IS THE AI BOOM CREATING REAL VALUE OR JUST PRICING IN TOO MUCH FUTURE GROWTH?
The artificial intelligence trade has become one of the strongest narratives in global markets, but every major bull market eventually faces the same question: how much of the future has already been priced into today's valuations?
That is where the bearish argument associated with Michael Burry becomes interesting.
The important point is not simply that a famous investor is bearish on AI-related stocks. The bigger issue is whether the market has become too optimistic about the speed at which AI investments will translate into sustainable profits.
AI can be transformative and still experience a valuation bubble.
Those two ideas can exist at the same time.
THE AI INVESTMENT BOOM
The scale of AI infrastructure spending has changed the semiconductor and technology landscape.
Hyperscalers are investing heavily in data centers, accelerators, networking equipment, memory, power infrastructure and cooling systems.
The demand is real.
Companies are spending real money.
Data centers are being constructed.
AI models are becoming more capable.
Enterprise adoption is increasing.
But markets do not price assets based only on today's demand.
They price expectations for future earnings.
That creates the central risk.
If today's valuations already assume years of extraordinary AI growth, even a successful AI industry could experience a significant stock-market correction if growth turns out to be merely strong rather than exceptional.
THE DOT-COM COMPARISON
This is where comparisons with the late-1990s technology boom become tempting.
The internet changed the world.
But many internet stocks still became dramatically overvalued.
The technology was real.
The speculation was also real.
When expectations became disconnected from financial reality, valuations eventually corrected.
The same principle can apply to AI without suggesting that AI itself is a temporary trend.
Artificial intelligence may become one of the most important technologies of the century.
That does not mean every AI-related company will deliver the returns investors currently expect.
VALUATION IS THE REAL BATTLE
A company can have excellent technology and still be a bad investment at an excessive valuation.
This is one of the most important concepts behind the AI bear thesis.
Suppose a company grows earnings rapidly for several years.
If investors have already priced in even faster growth, the stock can fall despite earnings increasing.
That is because markets react to the difference between expectations and reality.
If expectations are extremely high, “good” results may not be enough.
The company needs exceptional results.
This creates an unusually difficult environment for the biggest AI beneficiaries.
THE CAPEX QUESTION
One of the biggest things to watch is capital expenditure.
The world's largest technology companies are spending enormous amounts on AI infrastructure.
That spending supports semiconductor companies, data-center operators, networking companies and infrastructure suppliers.
But investors need to ask a second question:
WHAT IS THE RETURN ON THAT INVESTMENT?
If companies spend hundreds of billions building AI infrastructure, eventually that infrastructure needs to generate economic value.
That value can come from advertising.
Cloud services.
Enterprise software.
Subscriptions.
AI agents.
Automation.
Search.
Data services.
And entirely new products.
If monetization grows alongside infrastructure spending, the bullish case strengthens.
If spending grows much faster than revenue, concerns about an AI capital-expenditure bubble become more credible.
THE NVIDIA EFFECT
AI infrastructure has created enormous demand for advanced computing hardware.
This has made leading accelerator and semiconductor companies central to the AI investment story.
But concentration creates risk.
When investors become heavily dependent on a small number of companies to represent the entire AI theme, expectations can become crowded.
A slowdown in one part of the AI supply chain can affect the broader narrative.
That does not mean the companies are fundamentally weak.
It means expectations become increasingly important.
MEMORY AND NETWORKING ARE PART OF THE SAME STORY
The AI boom is not limited to processors.
Advanced memory has become critical.
High-bandwidth memory is required to move enormous quantities of data efficiently.
Networking infrastructure connects AI systems.
Advanced packaging allows increasingly complex components to work together.
Power and cooling systems support massive data centers.
This creates a huge ecosystem.
But it also creates a potential feedback loop.
If hyperscalers slow AI spending, weakness can spread across multiple suppliers.
That is why investors should monitor the entire AI infrastructure chain rather than focusing on one stock.
THE BULLISH COUNTERARGUMENT
There is a powerful argument against the AI bear thesis.
Unlike some speculative bubbles, AI already has significant real-world applications.
Companies are using AI for coding.
Customer service.
Research.
Data analysis.
Content generation.
Cybersecurity.
Drug discovery.
Automation.
Search.
Enterprise productivity.
The technology is producing measurable economic benefits.
If AI adoption continues accelerating, today's infrastructure spending could eventually look small compared with the economic value generated.
That is the strongest argument the bulls have.
AI does not need to be a temporary speculative story.
It can fundamentally change corporate productivity.
THE BEARISH COUNTERARGUMENT
The bears do not necessarily need to prove that AI will fail.
They only need to prove that expectations are too high.
That distinction is critical.
AI can revolutionize industries while AI stocks still fall 30%, 40% or more during a valuation reset.
Markets frequently move ahead of fundamentals.
When expectations become excessive, even strong companies can experience sharp corrections.
The bearish thesis is therefore not necessarily:
“AI is useless.”
It can instead be:
“AI is powerful, but the market is pricing in too much success too quickly.”
THREE THINGS COULD BREAK THE AI BULL CASE
First, AI monetization could disappoint.
Companies may struggle to convert AI usage into enough incremental revenue.
Second, capital expenditure could become unsustainable.
If infrastructure spending continues rising while returns remain uncertain, investors may demand greater discipline.
Third, competition could push prices lower.
If AI capabilities become increasingly commoditized, companies may struggle to maintain high margins.
These risks are worth monitoring even in a long-term bullish AI environment.
THE THREE THINGS THAT COULD PROVE THE BEARS WRONG
The first is productivity.
If AI produces measurable improvements in corporate efficiency, the economic value could justify today's investment.
The second is monetization.
If AI services generate rapidly growing recurring revenue, infrastructure spending becomes easier to justify.
The third is new demand.
If AI moves beyond today's applications into robotics, autonomous systems, healthcare, scientific research and other industries, the addressable market could become dramatically larger.
That would strengthen the long-term bull thesis.
WHAT SHOULD INVESTORS WATCH?
Revenue growth is important.
But it is not enough.
Investors should also monitor margins.
Free cash flow.
Capital expenditure.
Return on invested capital.
Data-center utilization.
AI-related revenue.
Cloud growth.
Enterprise adoption.
And management guidance.
The most important signal will be whether AI investment is gradually producing stronger economic returns.
If revenue and productivity grow alongside infrastructure spending, concerns about an AI bubble can weaken.
If spending continues accelerating while returns remain unclear, the bearish argument becomes stronger.
THE MARKET DOES NOT NEED A CRASH
This is another important point.
A bearish AI thesis does not automatically mean a 2000-style collapse.
Markets can correct through time as well as price.
If earnings continue growing rapidly while stock prices move sideways, valuations can gradually become more reasonable.
That would be a healthier adjustment than a sudden collapse.
Alternatively, a sharp correction could occur if expectations change very quickly.
The outcome depends on the relationship between earnings growth and valuation.
WHY BURRY'S VIEW MATTERS
The significance of Burry's bearish stance is less about predicting the exact top.
Nobody can reliably identify the precise peak of a major market trend.
Its value is that it forces investors to challenge consensus.
When almost everyone believes AI spending will continue accelerating indefinitely, someone asking “what if expectations are too high?” provides an important counterweight.
Markets need both bulls and bears.
Bulls identify opportunities.
Bears identify risks.
The strongest investors listen to both.
FINAL TAKE
#BigShortBurryBearsAI is ultimately not a debate about whether artificial intelligence is real.
It is a debate about valuation, expectations and timing.
AI is clearly changing technology.
The infrastructure buildout is real.
The demand for computing power is real.
The need for advanced memory is real.
Enterprise adoption is growing.
But none of those facts automatically guarantee that every AI-related stock is fairly valued.
The most important question is whether future earnings can grow fast enough to justify the enormous expectations already embedded in market prices.
If AI monetization accelerates, productivity improves and infrastructure generates strong returns, the bulls could continue winning.
If capital expenditure grows faster than economic returns, valuations could come under pressure.
That is why the smartest approach is neither blind optimism nor blind pessimism.
Watch the numbers.
Watch earnings.
Watch cash flow.
Watch capital expenditure.
Watch AI revenue.
Watch margins.
And most importantly, watch the gap between expectations and reality.
The AI revolution may be one of the biggest technological transformations of our generation.
But even the biggest technological revolutions can produce periods of excessive optimism.
The real investment question is not whether AI will change the world.
The real question is:
HOW MUCH OF THAT FUTURE IS ALREADY PRICED INTO TODAY'S MARKET?
That is the question behind the AI bear thesis, and it is one that every serious investor should be asking.
This is educational market analysis, not financial advice. Market valuations and sentiment can change rapidly, and bearish or bullish positioning should never be treated as a guaranteed prediction of future prices.
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Since 2018, the best performing asset out there was Nvidia.
The second best performing asset was Pokemon cards.
NVDAG2.00%
NVDA3.04%
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Goldman warns! Core PCE could come in above expectations, will a rebound in inflation affect the Fed
gate liveLIVE
1,995
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Gold Outlook for August 13
Going live on a new account to share my views for your reference. If you find them useful, we can learn together and share suggestions and opinions.
The current resistance is around 4410. If it later forms a high around 4410 but fails to rise above 4430, you can try a short position, with a very favorable risk-reward ratio. The market is currently consolidating and continuing to push higher, or it may plunge sharply. We’ll wait and see. Come to the livestream for specific trend predictions, but follow market conditions and sentiment, taking it one step at a time. ❤️
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💰 $BANK  /USDT
⚠️RISKY TRADE ⚠️
🔼 LONG
✳️ ENTRY (Use DCA STRATEGY) : 4200 , 4000
🎯 TARGETS - 4400 , 4650 , 4900 , 5400 , 6000 , 7000
🀄️ LEVERAGE -  cross 10x
🔴 STOPLOSS - 3700
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WangZiya:
Hop on quickly! 🚗
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$BTC Signal】1H rebound lacks strength + 4H bearish pressure, target the pullback
$BTC Bears are in control, order book depth imbalance at -32.46%, 1H RSI 46.87 rebound failed to break above 50. The 4H MACD histogram at -12.39 remains below the zero line, while the price is hugging the 1H Bollinger middle band, with clearly insufficient upward momentum.
🎯 Direction: Short
⚡ Entry/limit orders: Scale into shorts in the 63463 - 63599 range
🛑 Stop-loss: 64283
🚀 Target 1: 62574
🚀 Target 2: 62062
🛡️Trade management:
- Execution strategy: After reaching Target 1, reduce the position by 50% an
BTC-1.16%
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🚨 JUST IN: Trump authorizes private companies to assist the US government with hacking operations targeting foreign criminal groups.
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Something interesting is developing across markets.
My Perfect Storm Index™ remains elevated at 58/100.
#BTC remains in what I believe is a corrective structure.
#SPX is making new highs while weekly RSI is showing clear bearish divergence.
Meanwhile, inflation/Fed conditions are improving, but yields, oil and geopolitical risks remain elevated.
None of this tells us precisely when markets turn.
But that isn't the point.
After 40+ years in markets, I've learned that the greatest risks often emerge when several seemingly unrelated signals begin pointing in the same direction.
Now add the long-t
BTC-1.17%
SPX-0.62%
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Tonight’s data brings both risks and opportunities.
【In-Depth Review】Tonight’s Double Storm: When PPI Collides with Initial Jobless Claims, How Can We “Profit Through Time”?
In the never-sleeping cryptocurrency market, volatility is the norm, while macroeconomic data is often the gust of wind that whips up massive waves.
Tonight, all traders’ nerves will be stretched taut as two major data releases arrive simultaneously: initial jobless claims and the PPI producer price index. These are not merely two numbers fluctuating, but key weights on the two sides of the Federal Reserve’s monetary polic
BTC-1.17%
ETH-1.86%
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$$HOME This bullish candle is here to collect an IQ tax: with the same 1,000U, some people double their money in three minutes while others go to zero in three minutes. Which side are you choosing?
First, look at the data: $HOME is currently at 0.0108, up 15.35% in 24h. The high of 0.0108 is the current price, the low is 0.0088, and trading volume is 44.2M. This market cap isn't large, but the volatility is brutal. An 8% range is exciting in spot trading, but in futures it's a liquidation meat grinder. Don't just look at how happily it's rising. The key issue is that this coin is now hugging
HOME17.64%
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Folks, can anyone explain this?
Why are the expenses cut in half when traveling with a female driver?
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Jack wu Customer Feedback
Kaohsiung Holi Te Coffee
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Jack wu
Jack wuJack wu
MC:$100.13KHolders:13
100.00%
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#OpenSky百日筑基 Day 45】
In-depth article
The operating methods of those scam projects that ran off with users’ funds have been laid out so thoroughly! Now look at us: verifiable funds, open-source protocol, no human intervention… These “Six Principles” are practically bulletproof armor for the project!
I used to think “code is law” was just an empty phrase, but now I understand that this is the only reason we can sleep soundly.
Understand the logic, and leave the rest to time.
We’re building a skyscraper, not stacking building blocks. 💪
OpenSky #链上透明 #Six Principles#认知
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[NEW STREAMER] MARKET UPDATES
gate liveLIVE
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$RARE plunged 21.69% in a single day, crashing directly from 0.0170 to 0.0117, with $28M in volume amid the sell-off. Compared with the previous three halving cycles, this kind of violent shakeout in the seventh month after a halving has been the final shakeout before the bull market’s main rally each time—the ETH-style halving in 2016 and the DOT-style -40% wick in 2020 followed almost the exact same script.
At 0.0120, the price is sitting right in the overlap between the weekly Bollinger lower band and the 0.618 Fibonacci level. My plan: place a buy order at 0.0115 to add to the position, w
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