BitLegend

08-13 12:58

NAS100-0.18%

Luna_Star2026-08-13 10:52:21

#InstitutionsSold21.6BNasdaqFuturesInAWeek
Nasdaq Futures: The $21.6 Billion Institutional Short That Nobody Expected
The week ending August 4th, 2026, will go down as one of the most aggressive institutional repositioning events in the history of the Nasdaq futures market. According to Goldman Sachs, hedge funds, asset managers and other institutional investors collectively sold a staggering 21.6 billion dollars worth of Nasdaq futures in a single week, marking the largest weekly liquidation on record. To put this into perspective, this single-week outflow exceeded every prior weekly selloff ever tracked, dwarfing even the turbulent episodes of 2024 and 2025. The scale of the selling was not spread evenly. A remarkable 72 percent of the total sales were executed through outright short positions, which means institutions were not merely trimming existing longs but actively building bearish exposure into the market.
The breakdown of who was selling reveals exactly where the bearish conviction is concentrated. Hedge funds, which are typically the most tactical and aggressive group in the futures complex, offloaded 11.9 billion dollars in Nasdaq futures during that week. Asset managers, the large pension funds, mutual funds and institutional allocators that generally prefer to lean long over the long term, sold 7.4 billion dollars of their own. Combined, the two groups brought total institutional net positioning in Nasdaq futures down to negative 5 billion dollars, which is a significant milestone because it marks the first time since May 2025 that the combined institutional book has turned net short. Even more striking is the comparison with where this positioning stood just ten months earlier. In October 2025, the same institutional cohort held a net long position in Nasdaq futures of roughly positive 54 billion dollars. The swing from that peak to the current negative 5 billion represents a reversal of nearly 59 billion dollars in net exposure, or approximately a 109 percent swing in positioning relative to the previous high, in less than a year.
The official Commitments of Traders data published by the Commodity Futures Trading Commission confirms the same picture from a different angle. In the weekly COT report covering the same August 4th period, large speculators in Nasdaq 100 futures increased their short positions by an enormous 22,622 contracts week over week. To give that number context, total short contracts ballooned to roughly 100,463, rising more than 29 percent in a single week, while long contracts actually declined. The net speculative position collapsed to negative 35,006 contracts, a one-week deterioration of more than 25,000 contracts that stands as one of the sharpest weekly flips in the entire history of the COT data. Meanwhile the Nasdaq 100 index itself closed the week near the 29,683 level, up about 6.8 percent from its early July close near 27,796, which makes the aggressive shorting even more notable because institutions were selling into market strength at historically elevated price levels.
The sheer size of the move becomes clearer when converted into percentage terms. From its March 2026 low near 23,000, the Nasdaq 100 had recovered with extraordinary speed, rallying more than 33 percent in roughly ten weeks to reach record highs above 30,660 before pulling back toward the 29,500 to 29,800 range. The current index level around 29,762 represents a gain of approximately 23.8 percent over the trailing twelve months, and the 52-week range shows the index trading between a low near 22,841 and a high near 30,762. At current levels the index has retraced 7.1 percent from its record high, a meaningful pullback from the peak that is precisely the kind of environment in which professional shorts tend to accelerate. The fact that institutional positioning flipped to negative for the first time in fifteen months, at a price level still within roughly 3 percent of its all-time high, suggests a profound shift in the risk appetite of the world's largest asset allocators.
This kind of concentrated institutional shorting rarely happens in isolation, and it typically carries a specific message about the market's trajectory over the coming months. When hedge funds and asset managers simultaneously reduce long exposure and build short positions, it generally signals that these sophisticated players are bracing for a correction, managing risk defensively, or protecting existing capital against a potential drawdown. The extremely one-sided nature of the positioning, with shorts dominating 72 percent of the activity, also raises the risk of a short squeeze should any positive catalyst arrive. If a headline-driven rally were to push the Nasdaq 100 toward its recent highs near 30,660, a rebound of just over 3 percent from current levels could force shorts to cover, which historically amplifies upside moves. Conversely, if the broader market continues its softness and the index breaks below key support near the 29,100 to 29,500 zone, a decline of roughly 1 to 3 percent from here could trigger a cascading liquidation of the weakest hands among institutional sellers.
The context behind this bearish wave is not difficult to understand. Rising geopolitical tensions have been deteriorating risk appetite across all equity classes, and hedge funds posted their largest net short positioning in global equities in thirteen years during the past month, according to Goldman Sachs data. Institutional investors dumped 4.2 billion dollars in US equities in a single recent week, bringing the seven-week cumulative outflow to a negative 17.7 billion dollars, with individual stocks alone accounting for 5.9 billion dollars of the selling. Technology and semiconductor names have been under particular pressure as the artificial intelligence trade, which powered the meteoric rally of the past year, has begun to lose some of its speculative sparkle. The index's historic run, which delivered roughly a 33 percent gain in just ten weeks off the March low, left valuations stretched, and the combination of elevated prices, hawkish signals from the Federal Reserve and fading AI enthusiasm has given institutional investors ample reason to lock in profits and build defensive short positions.
For the average investor, the message embedded in this data is one of caution rather than panic. Record institutional shorts are a contrarian signal that can sometimes mark a near-term bottom, because the sheer volume of bearish positioning leaves less fuel for further downside and creates the potential for a squeeze. But the speed and scale of the reversal, cutting roughly 59 billion dollars of net positioning in under a year and turning a once heavily long institutional book negative for the first time since May 2025, is a serious warning that the smartest money in the market is no longer betting on uninterrupted upside. The Nasdaq 100 now trades around 29,762, within 3 percent of its record high of roughly 30,762, yet institutional positioning has swung from 54 billion dollars net long to 5 billion dollars net short. When the street's most sophisticated players are selling 21.6 billion dollars in a single week, with nearly three quarters of that activity in outright shorts, the prudent interpretation is that they are expecting turbulence ahead. Whether that proves to be a temporary hedge or the beginning of a deeper correction will only become clear in the weeks ahead, but the positioning data is unambiguous in its message of institutional caution.@Gate_Square

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08-13 12:58

Luna_Star2026-08-13 10:53:37

#MemoryChipsRally
AI HAS TURNED MEMORY INTO THE NEW BOTTLENECK
The biggest winners of the AI infrastructure boom may not be the companies designing the most powerful processors. They could be the companies supplying the memory that allows those processors to perform at full speed.
In 2026, high-bandwidth memory (HBM) has become one of the most strategically important components in the AI supply chain, and the market is aggressively repricing the companies capable of producing it.
THE STOCK MARKET HAS ALREADY NOTICED
The performance of the major memory manufacturers tells the story.
SK Hynix has surged more than 248% year to date, while Samsung Electronics has gained around 165% and Micron has risen more than 210%.
The rally became even more symbolic in May, when SK Hynix joined Samsung and Micron in the trillion-dollar market-cap club.
Then came another milestone.
In June, SK Hynix overtook Samsung to become South Korea’s most valuable company, highlighting just how dramatically AI demand has changed investor perceptions of the memory industry.
WHY HBM MATTERS SO MUCH
Modern AI models require enormous amounts of data to move between processors and memory at extremely high speeds.
That is where HBM comes in.
These advanced stacked-memory technologies sit alongside AI accelerators and provide the bandwidth needed for demanding training and inference workloads.
Without enough high-performance memory, increasingly powerful AI processors cannot operate at their full potential.
That makes memory a potential bottleneck for the entire AI computing system.
THREE COMPANIES DOMINATE THE SUPPLY
The global memory market remains concentrated around three major players.
Samsung reportedly controls approximately 38% of DRAM, 29% of NAND and 21% of HBM.
SK Hynix holds around 58% of the HBM market, giving it the leading position in the segment most closely connected to AI accelerators.
Micron is the only U.S.-based advanced memory manufacturer among the three major players.
SK Hynix’s ability to qualify new HBM generations with Nvidia ahead of competitors has repeatedly strengthened its position with the world’s largest AI accelerator buyer.
That technical leadership has translated into extraordinary profitability expectations—and extraordinary stock-market performance.
THE REAL PROBLEM IS SUPPLY
The most important word in the current memory market is scarcity.
Memory manufacturers have reportedly sold out their entire production capacity for 2026.
Even more significant, reports indicate that Samsung, SK Hynix and Micron have already allocated their DRAM and HBM production through the end of 2027.
Some AI companies are reportedly competing aggressively for remaining supply and accepting premium pricing to secure components.
This is not simply a demand boom.
It is a supply problem that the industry cannot solve quickly.
PRICES ARE RESPONDING
The supply shortage is already feeding directly into pricing.
DRAM prices are projected to rise approximately 50%–55% this quarter compared with Q4 2025.
Hyperscalers are locking in future memory capacity through multi-year agreements, while a significant portion of 2026 production has already been contracted.
Meanwhile, advanced manufacturing constraints—including EUV equipment bottlenecks—make it difficult to add new capacity quickly enough.
The result is a classic supply-demand imbalance:
AI demand keeps accelerating while new memory capacity takes years to arrive.
THE CASH GENERATION IS MASSIVE
The financial consequences are becoming equally impressive.
Samsung and SK Hynix are projected to hold a combined $263 billion in net cash by year-end.
That figure would be more than twice Nvidia’s estimated $102 billion and greater than the combined cash position of the other six Magnificent Seven companies.
That enormous financial strength gives the memory giants two options: return more capital to shareholders or aggressively invest in future production.
They are effectively being asked to do both.
THE MEMORY INDUSTRY HAS CHANGED
For decades, memory was often viewed as one of the most cyclical and commoditized areas of semiconductors.
AI is challenging that assumption.
HBM has transformed memory into a strategic infrastructure bottleneck, where technological leadership, qualification with major AI-chip designers and limited production capacity can create significant pricing power.
That is a major shift in the economics of the semiconductor industry.
BUT EVERY SUPERCYCLE HAS A RISK
The biggest threat to the memory rally is also the industry's oldest problem: cyclicality.
Memory markets have historically experienced powerful boom-and-bust cycles. When supply eventually catches up with demand, prices can fall rapidly and profitability can compress.
The current environment is exceptionally strong because production is reportedly committed deep into 2027, but investors still need to consider what happens when new fabs finally begin increasing supply.
The question is not whether AI needs memory.
It clearly does.
The bigger question is whether AI demand can continue growing faster than Samsung, SK Hynix and Micron can expand production.
For now, the answer appears to be yes.
And that is why the memory makers have moved from being a supporting part of the AI story to becoming one of its most powerful investment narratives.
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Luna_Star2026-08-13 10:56:10

#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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Luna_Star2026-08-13 10:59:29

#Web3SecurityGuide
Web3 gives you something traditional finance cannot always provide: direct ownership and control of your digital assets. But that freedom comes with a serious responsibility. When you control the wallet, you also control the security.
There is often no customer-service department that can reverse a blockchain transaction, cancel a transfer, or recover funds after a compromised wallet is drained. That is why Web3 security should never be treated as an optional extra. It should be part of your daily crypto routine.
Here are the security principles every Web3 user should follow.
1. Protect your private key and seed phrase
Your private key and recovery phrase are the ultimate credentials to your wallet. Never share them with anyone, regardless of who they claim to be.
No legitimate exchange employee, developer, support agent, moderator, or project representative needs your seed phrase or private key to verify your account or recover your funds.
If someone obtains it, assume the wallet is compromised and move remaining assets to a secure wallet immediately.
2. Verify every website before connecting
Fake websites can look almost identical to legitimate platforms. Before connecting your wallet, carefully check the domain name, spelling, HTTPS connection, and official links.
Avoid clicking random links from Telegram groups, Discord messages, social media comments, or unsolicited emails.
Bookmark trusted platforms and access them directly whenever possible.
3. Treat wallet signatures as financial decisions
Connecting a wallet is not always dangerous, but signing an unknown transaction can be.
Never approve or sign something you do not understand. Read the permission request carefully and check what assets, contracts, or spending rights you are authorizing.
A simple signature request can sometimes give a malicious contract permission to interact with your assets.
4. Use hardware wallets for significant holdings
If you hold a substantial amount of crypto, consider keeping long-term assets in a reputable hardware wallet.
A hardware wallet can keep private keys isolated from many online threats and reduce the risk of malware stealing wallet credentials.
For larger portfolios, consider separating your funds into different wallets instead of keeping everything in one address.
5. Separate trading and long-term storage
Your active trading wallet should not necessarily contain your entire crypto portfolio.
Consider using one wallet for everyday Web3 activity and another, more secure wallet for long-term holdings. This limits potential damage if the active wallet is exposed.
6. Revoke unnecessary permissions
Over time, you may connect your wallet to many decentralized applications. Some permissions can remain active even after you stop using a platform.
Regularly review and revoke approvals you no longer need. Reducing unnecessary permissions can lower your exposure to malicious or compromised contracts.
7. Beware of urgency and unrealistic offers
Scammers often create pressure: “Claim now,” “Your account will be suspended,” “Limited-time airdrop,” or “Send crypto to receive more.”
Stop and verify before acting.
Remember: legitimate opportunities do not require you to ignore basic security checks.
8. Keep backups offline
Store your recovery phrase securely and offline. Do not keep it in screenshots, cloud storage, email drafts, or ordinary notes on your phone.
Create a secure backup strategy that protects against both digital theft and physical loss.
9. Secure your exchange account too
Enable two-factor authentication, use a unique password, activate withdrawal protections where available, and monitor account activity regularly.
Web3 security is not only about wallets. Your exchange account, email, and phone number can also become attack vectors.
10. Slow down before every transaction
The most powerful security tool is simple: pause.
Check the address. Check the network. Check the amount. Check the contract. Check the website. Then confirm.
In Web3, one careful minute can prevent a permanent loss.
Final reminder: Your wallet gives you control, but control requires discipline. Protect your keys, verify what you sign, question unexpected requests, and never allow urgency to replace security.
Your crypto is only as secure as the habits you practice every day.
#股票交易分享挑战 @Gate_Square #C2C #Web3SecurityGuide #GateSquare

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Gate_Square2026-08-12 10:16:46

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Gate_Square2026-08-13 02:14:22

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Which stock surprised you the most?

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Gate_Square2026-08-13 02:45:45

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🔹 Trading pairs: $MO / $USDT, $CIFR / $USDT, $NET / $USDT , and 7 trading pairs in total
🔹 Trading time: August 13, 2026, 14:00 (UTC+8)
🔹 Supports 1–20x leverage
Trade $MO: https://www.gate.com/zh/futures/USDT/MO_USDT
Trade $CIFR: https://www.gate.com/zh/futures/USDT/CIFR_USDT
Trade $NET: https://www.gate.com/zh/futures/USDT/NET_USDT
More details: https://www.gate.com/zh/announcements/article/101122

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BlackElyramoon:

2026 GOGOGO 👊

🍬 #CandyDrop Rewards are here! Complete simple tasks to easily unlock generous token rewards, with each candy worth up to $45!
🔹 Spot trading: 1 candy ≈ $26 $DOS reward (up to 500 $DOS)
🔹 Invite friends: Successfully invite 1 friend ≈ $45 $DOS reward (unlockable up to 10 times)
🔹 VIP exclusive: Complete designated tasks to earn $DOS ≈ $150
🔹 Stake $USDT / $GUSD / $DOS for up to 258.19% APR; staking $GUSD also unlocks dual rewards, with APR of up to 12.42%
⏰ Limited-time event—join now: https://www.gate.com/candy-drop/detail/DOS-352
Stake now: https://www.gate.com/launchpool/DOS?pid

DOS0.21%

GUSD-0.01%

GateLaunch2026-08-13 03:13:54

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BlackElyramoon:

Ape In 🚀

08-13 12:54

New Gate contracts listed #USD1
🔹 Trading pairs: ETH/USD1, BTC/USD1, SOL/USD1, XAU/USD1, SPCX/USD1, SNDK/USD1, MU/USD1, SKHYNIX/USD1, XAG/USD1
🔹 Trading time: August 13, 14:00 (UTC+8)
Trade: https://www.gate.com/zh/futures/USD1/ETH_USD1
More: https://www.gate.com/zh/announcements/article/101117

USD10.07%

ETH0.23%

BTC0.34%

SOL-0.25%

XAU0.66%

GateLaunch2026-08-13 03:30:00

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BlackElyramoon:

1000x VIbes 🤑

08-13 12:54

$BR stood out in Gate spot trading!
🔹 High reached: $0.24620
🔹 48-hour gain: 107.29%
Trade: https://www.gate.com/zh/trade/BR_USDT

BR-12.62%

GateLaunch2026-08-13 06:42:52

$BR stood out in Gate spot trading!
🔹 High reached: $0.24620
🔹 48-hour gain: 107.29%
Trade: https://www.gate.com/zh/trade/BR_USDT

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Ape In 🚀