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Analyze $BNT /USDT current price $0.2862 and generate a professional trading setup using current market structure.
Include:
• Market Trend (Bullish/Bearish/Neutral)
• Key Support Levels
• Key Resistance Levels
• Optimal Entry Zone
• Take Profit 1, 2, and 3
• Stop Loss
• Risk/Reward Ratio
• RSI Analysis
• Volume Analysis
• Price Action & Market Structure
• Scalping View (intraday)
• Swing Trade View (3–14 days)
• Trade Confidence (%)
• Risk Management Advice
Response Requirements:
• Professional trader style
• Data-driven analysis
• Clear formatting
• Maximum 120 words
• Avoid generic statements
• Focus on high-probability setups#DailyOrbit ⚡️ REMINDER: Zcash’s “Ironwood” upgrade is expected to activate on mainnet tomorrow, July 28. $DOGE** 🐕
**-0.50% – MACD just flipped bullish. Meme season loading.**
Price: $0.07269. RSI6 at 51.95 – neutral, ready to run. MACD: 0.00003 – bullish crossover. SAR at $0.07240 – price above. 24h low at $0.07213 is solid. Break $0.07351 and we run to $0.075+. 🚀
Also watching: SHIB🔥, PEPE 🐸, $BOME 🎨🚨 Micron vs. Kioxia — Is the Memory Cycle Finally Turning?
Micron's latest earnings sparked mixed reactions, but one thing is becoming increasingly clear: the AI memory story is entering a new phase.
HBM remains one of the strongest beneficiaries of the AI boom, with Micron reporting HBM revenue up 60% year over year. At the same time, memory names like Micron and Kioxia are beginning to show signs that the sector could be moving out of its downturn.
But one quarter doesn't confirm a new cycle.
📌 Here's what I'm watching beyond the headlines:
🔹 Can HBM production keep up with demand?
🔹 Are higher gross margins sustainable, or just temporary?
🔹 Will cloud providers continue spending aggressively on AI infrastructure, or shift toward optimization?
Strong demand alone doesn't guarantee every memory company will benefit equally.
🧭 My research framework
Instead of focusing only on revenue growth, I compare:
• Order visibility and factory utilization.
• Product pricing, yields, and capital expenditure efficiency.
• Results across memory producers, equipment suppliers, and hyperscale cloud companies.
If share prices rally while fundamentals fail to improve, I treat it as a short-term trade—not a long-term investment thesis.
⚠️ Key risks
The AI narrative has already pulled a lot of future expectations into today's valuations.
Higher supply, slower enterprise spending, or weaker pricing power could quickly change sentiment.
That's why I separate market opinion from investment decisions.
🎯 My approach
I prefer waiting for at least two consecutive quarters of improving fundamentals before increasing long-term exposure.
Until then:
✅ Follow the data.
✅ Compare evidence across the supply chain.
✅ Scale positions gradually.
✅ Let new information change your view when necessary.
The best investment decisions are built on evidence—not headlines.
#CXMTMemoryIPO #FOMCRateWatch #AIEarningsWatch The CLARITY Act (Digital Asset Market Clarity Act, H.R. 3633) is the first federal crypto market structure law in the United States. The House passed the House of Representatives in July 2025 by a vote of 294 to 134, and the Senate Banking Committee passed it in May 2026 by a vote of 15 to 9. The bill is currently stalled in the full chamber—the last window before the August 7 recess.
What is it for: Divide digital assets into three categories—digital commodities (BTC/ETH, under CFTC), investment contract assets (early tokens/securities, under SEC), and payment stablecoins (separate framework); As the network "matures," tokens can graduate from SEC to CFTC classes. End a decade-long enforcement regulation where "SEC and CFTC compete for territory."
Where the stitch is: 60 votes to prevent a long threshold; Republicans have about 50 votes, requiring 7-10 Democrats. The final stumbling block is the ethical clause—banning the president, congressman, or spouse from issuing coins or profiting from crypto during their term. Trump has agreed, but Democrats complain that law enforcement powers are not independent to the DOJ and that consumer protection is insufficient.
Two outcomes: Passed = exchanges/custodians have clear registration paths, institutional funds enter with legal grounds, and the US seizes global rule discourse; Void = Returned to the "SEC lawsuit" gray area, waiting for the new 2027 Congress to deal with it. Galaxy has already cut its 2026 clearance probability from 60-75% to about 50%.
A final sentence: this is not "crypto legalization," but "crypto finally has a legal basis"—but if there is no movement after two weeks, the industry will have to endure in vague stagnation for another year. #财报观察员：微软Meta亚马逊能稳住AI叙事吗？
The trend is back!!!
Microsoft, Meta, and Amazon are about to release their earnings reports. The performance of these three tech giants may determine whether the next phase of the AI market can continue.
Over the past two years, one of the biggest winners in AI has undoubtedly been NVIDIA, with computing power demand driving a boom in GPUs and data center industries. Now, the market is starting to look for new answers:
With such huge AI investments, can it ultimately translate into profits?
Microsoft, relying on the OpenAI ecosystem, holds a leading position in cloud computing and enterprise AI applications.
Azure growth and Copilot commercialization progress will be key market indicators to watch.
If AI service revenue continues to grow, Microsoft will remain one of the strongest beneficiaries of AI commercialization.
Meta is taking a different path.
The market previously worried about Meta’s huge AI investments, but with large models, recommendation algorithms, and improved advertising efficiency, AI is now driving its core business in reverse.
If AI can boost advertising revenue, Meta’s high investment logic will be revalidated.
Amazon’s key lies in AWS.
Cloud computing is an important foundation for AI commercialization. Whether AWS can accelerate growth again will directly affect market confidence in Amazon’s AI story.
In the short term, the earnings reports of these three companies may cause significant volatility.
If AI capital expenditures continue to increase but revenue realization falls short of expectations, the market may once again question the "AI bubble."
But if cloud business, AI services, and advertising efficiency show clear improvement, the AI theme may continue to attract funding.
For the crypto community, the earnings reports of US AI giants are equally important.
If the AI narrative continues to strengthen and risk appetite rises, the AI+Crypto sector may see a return of capital.
Key focus:
TAO, $FET, and other AI sector assets.
At the same time, $BTC and $ETH, as the core of market liquidity, will also be influenced by the sentiment of US tech stocks.
My view:
AI will not end because of one earnings report, but the market will reselect the true winners.
Future AI competition is not just about models, but about computing power, ecosystem, and commercialization capability.
Microsoft, Meta, and Amazon are proving one thing:
The first phase of AI is storytelling; the second phase is the real competition of profitability.
In this AI wave, those who survive will not be all participants, but the companies that can turn technology into cash flow. Wintermute maintains a short position on all coins except $BTC .📊 Monday Market Outlook: $BTC & $ETH
Last week's roadmap unfolded largely as expected. After strong relief bounces, $BTC approached the $67K region and $ETH climbed toward $1,960 before both retraced.
Now the focus shifts to one question:
Is this the start of a new uptrend—or just another relief rally?
At this stage, I'm still waiting for stronger confirmation.
The recent recovery appears to have been supported by improving macro sentiment as concerns around geopolitical tensions, oil prices, and inflation eased. However, the broader market structure has yet to show a decisive bullish shift.
📉 Key factors I'm watching:
🔹 ETF flows remain an important indicator of institutional participation.
🔹 Momentum has improved, but conviction is still limited.
🔹 $BTC has yet to secure a strong breakout above the $65.5K–$65.8K resistance area.
Until that zone is reclaimed with convincing volume, caution remains warranted.
🔻 $BTC Trade Levels
Entry: ~$65,500 & ~$66,300
Targets: $64,500 → $63,600 → $62,800
🔻 $ETH Trade Levels
Entry: ~$1,960 & ~$1,980
Targets: $1,920 → $1,880 → $1,840
⚠️ Manage risk carefully, avoid oversized positions, and let price action confirm the next move before committing to a trade.
#CXMTMemoryIPO #FOMCRateWatch #AIEarningsWatch $XSPCX Looking Bullish
Buyers are showing strength as momentum improves, keeping the trend biased to the upside.
Entry: 114.20 – 115.00
TP1: 118.00
TP2: 121.00
TP3: 125.00
SL: 111.80
Analysis:
Positive price action and steady accumulation suggest room for additional gains if resistance is cleared.
Let's trade $XSPCX
#OKXOrbitTopics 沙特卖油用人民币结算，转头兑换金条运走，会掏空我国储备吗？
中东产油国把石油卖给中国，收到人民币后，转身买走一批金条运回国内。
中国拿到的是烧完就没了的原油，对方带走的却是真金白银，长此以往，中国的黄金储备会不会被搬空？
这笔账看似简单，实际上算错了对象。
产油国拿人民币购买黄金，买的是市场上的黄金，不是拿着人民币冲进央行金库，要求中国按面值兑换金条。
真正发生的，是石油、人民币和黄金三种资产之间的市场交换，而不是中国用国家储备黄金给人民币“兜底”。
近年来，中沙之间确实在为本币结算铺路。
2022年，中国提出利用上海石油天然气交易中心开展同海合会国家的油气贸易人民币结算；2023年，中沙两国央行又签署500亿元人民币、260亿沙特里亚尔的双边本币互换协议，为两国企业使用本币提供流动性支持。
这意味着人民币在中沙贸易中的使用条件越来越成熟，但能源定价和结算格局不会一夜翻转。
美元仍然是国际石油贸易的主要货币，人民币目前做的不是立刻取代美元，而是增加一条可以使用、可以投资、也可以退出的通道。
一笔人民币石油交易完成后，产油国拿到人民币，大致有几种去处：
购买中国机械、汽车、光伏设备和消费品；投资人民币债券、基金或产业项目；兑换其他货币；也可以进入黄金市场购买黄金。
黄金只是其中一个选择。
上海黄金交易所国际板以人民币计价，境外投资者可以使用离岸人民币参与交易。
交易所负责清算、交割和仓储，买方支付人民币，卖方交出黄金。买到的实物黄金还可以按照规则转运至其他国家和地区。
这里的关键在于，黄金不是凭空从中国国家金库里拿出来的。
市场中一方买走黄金，就必然有另一方出售黄金。出售者可能是银行、黄金企业、贸易商或投资机构，收到的则是人民币。
黄金的所有权发生了变化，人民币的持有人也发生了变化，但央行官方储备不会因此自动减少。
截至2026年6月末，中国官方黄金储备为7544万盎司，较5月末继续增加。
官方储备资产有独立的统计和管理体系，与境外机构在交易所购买多少黄金不是同一本账。
所以，“产油国用人民币买黄金会掏空中国储备”，本质上是把市场交易和国家储备混为一谈。
当然，这并不代表黄金大量外流永远没有影响。
假如境外需求短时间急剧上升，可能推高黄金溢价、改变市场库存，甚至增加黄金进口需求。
但这属于市场供求和价格问题，不是国家金库被人按固定价格兑换走了。
真正值得关注的，是产油国为什么愿意接受人民币。
过去，石油出口国收到美元后，可以购买美国国债、投资美元资产，也可以在全球市场自由使用。人民币要进入能源贸易，就必须给持有人提供同样清晰的使用出口。
能买中国商品，是第一层；能投资人民币资产，是第二层；能兑换其他货币或购买黄金，是第三层。
出口越多，产油国接受人民币的顾虑就越小。
从沙特的角度看，增加人民币结算不是要彻底抛弃美元，而是避免把全部能源收入压在一种货币和一套金融体系上。
它既需要美国的安全合作和美元市场，也需要中国的能源需求、制造业产品和产业投资。
多接受一种货币，就多一个谈判筹码。
中国得到的好处也很直接。
部分能源贸易使用人民币，可以减少企业反复兑换美元产生的成本和汇率风险，还能扩大人民币在大宗商品市场中的使用范围。
表面上是支付方式变化，本质上是在争夺国际贸易的金融入口。
但把这套安排吹成“人民币已经击败美元”，同样站不住脚。
国际货币基金组织数据显示，2026年第一季度，美元占全球已分配外汇储备的57.13%，人民币占比为1.99%。美元的市场深度、金融产品和全球流动性优势依然明显。
人民币国际化真正缺少的，不是一句“石油用人民币结算”，而是足够庞大、开放、多样的人民币资产市场。外国企业愿意收人民币只是第一步，愿意长期持有人民币，才是真正的突破。
能源问题同样不能夸大。
2025年，中国国内原油产量约2.16亿吨，原油净进口约5.8亿吨，其中从海合会国家进口原油1.8亿吨。
中国拥有庞大的采购规模、多元化进口渠道和较强的炼化能力，但对海外原油的依赖仍然很高。
这意味着中国可以增强议价能力，却不能单方面控制国际油价。石油价格仍受产油国政策、战争风险、航运通道、美元利率和全球需求共同影响。
真正可靠的能源安全，不是相信自己能够压住油价，而是扩大进口来源、提高国内产量、增加储备，并加快新能源替代。
因此，这套机制最有价值的地方，不是“用纸币换石油，再阻止别人换黄金”，而是让人民币成为一个有进有出、能够循环的国际交易工具。
我支持扩大油气贸易人民币结算，也支持用黄金市场、债券市场和商品贸易为人民币提供更多使用出口；但反对把它包装成黄金担保，更反对制造“中国金库将被搬空”或“美元霸权已经终结”的情绪。
沙特即使拿人民币购买黄金，也搬不走中国央行的黄金储备。
真正决定人民币地位的，从来不是金库里锁着多少金条，而是中国能否长期提供全球需要的商品、技术、市场和可信赖的金融资产。
黄金只能帮助人民币打开一扇门，强大的实体经济和成熟的金融市场，才有能力让这扇门一直开着。#美军暂停对伊空袭，国际油价开盘大幅下跌 $CL All eyes turn to July 29. The FOMC meets with rates at 3.75% and, for the first time in a while, a genuine hawkish tail: Warsh's Fed has an open dissenter in Logan calling for a hike, sticky inflation, and an oil situation that only recently began cooling. This isn't a "will they cut" meeting anymore.
The setup matters more than the base case. Markets still lean toward a hold, but the risk is asymmetric: a surprise hike, or a hawkish hold with hike guidance, would hit a market positioned for eventual easing. Crypto's firm today (ETH ripping +4% to $1,960), pricing calm into the meeting. I'd respect the tail: the distance between "hold and dovish" and "hold but hawkish" is where volatility lives. Watching the statement and the dot plot, not just the rate.
DYOR.
#FOMCRateWatch #OKXOrbit🚀 $HYPE Real-time price updates 🚀
Received! The current price has climbed to $60.3, rebounding over 6.6% from the previous day's low of $56.56, successfully reclaiming the psychological $60 psychological level and the EMA 50 moving average. The 24-hour high has been refreshed to $60.85, with bulls testing the last vacuum zone before the EMA200 ($62.49).
📊 Support and resistance levels (real-time correction)
Resistance Level (Resistance Above)
· $60.85 - $61.20: Immediate firepower point formed by the intraday high and the 4-hour upper Bollinger band
· $62.49 - $63.21: EMA200 and the key resistance zone highlighted by Gate analysts; a breakout would open upside
· $66.79 - $76.67: Fibonacci 0.618 with a previous all-time high forming a hard-top trap zone
Support Level (Lower Defensive Line)
· $59.50 - $60.00: The original resistance level has turned into first support, and the $60 level has become a bullish stronghold
· $57.80 - $58.37: Pivot point and 4-hour mid-band, a buffer zone during pullbacks
· $56.00 - $56.56: Recent low; a break below would signal a false breakout
🐋 Market maker movements on the chain
While the price broke through $60, whales that withdrew and staked $32.87 million on July 25 showed a floating gain of over 10%**. The entity's nine-month average price is $44, and the current book is highly profitable. Total staking volume climbed to 436 million, with lock-up reducing market circulation selling pressure.
⚠️ However, nearly 2 million Multicoin Capital tokens ($120 million) have been unstaked, and the pressure from a16z-linked addresses remains at a peak. On July 27, 20,640 tokens (about $1.24 million) were burned in a single day, with deflation continuing to absorb selling pressure.
📈 Positive factors
Successfully breaking through the $60 psychological barrier triggered quantitative buying, putting pressure on futures bears. If it holds above $60, the technical side will confirm a bullish bottoming structure.
Hyperliquid's net income reached $800 million, with cumulative buybacks and burns of 4.73% of circulating supply. HIP-4 Upgrade and Prediction Market Launch continues to empower the ecosystem.
The $600 million unlock on July 29 has already been partially priced in by the market ahead of time, down 22%. If the unlock stabilizes above $60 with increased volume, it would signal a bearish exhaustion reversal.
📉 Bearish factors
July 29 coincided with the FOMC decision—$600 million unlocking flood combined with hawkish risk, high-beta counterfeit faces a double macro + supply shock.
Large unstaking and transfer records between Multicoin and a16z show that primary market capital is still exiting, raising doubts about market makers' willingness to hold onto the position.
Currently, the RSI is approaching 58, and although the CMF has improved, it has not turned positive. The price broke through $60 but trading volume did not significantly increase, indicating a risk of chasing the price above the volume and price warning.
⚠️ The above analysis is based on publicly available on-chain and market data and does not constitute investment advice. The $60 battle will be decided tonight. The July 29 market change window is approaching, so strictly control position risk. 🎯 $HYPE #长鑫科技上市, global storage competition adds variables #美联储周四凌晨公布利率决议 #美军暂停对伊空袭, with international oil prices sharply falling at the open [Graphic Observation | US Dollar Liquidity] At 19:16 Beijing time, Jin Ten article clues: Bank of America warns: The weakest window for US stocks is approaching, and gold and the dollar are expected to present opportunities.
Forex snapshot: EUR/USD 1.1392 (+0.20%); USD/JPY 163.63 (-0.14%); USD/RMB 6.7662 (-0.06%). The dollar's direction affects global liquidity pricing and also alters the sensitivity of risk assets like BTC and ETH to news updates.
Background summary: Does the 'August curse' really exist? Market data from the past decades is reminding investors that the summer rally is not simply a "falling season." Bank of America analysts point out that from August to October, a defensive market environment is more likely to emerge, with the dollar, gold, and bonds likely to be more favored by capital than stocks.
Verification point: If USD/JPY continues to rise and offshore RMB is under pressure, risk appetite may become more cautious; If the dollar falls, the resilience of risk asset rebounds is even more worth observing.
Risk warning: Central bank interventions, tariff news, or sudden geopolitical events may alter the exchange rate's transmission path. For market observation purposes only and does not constitute investment advice.I added another 64,000 to buy 10,000 USD, so in 2 days you can get 47 USD.
When you feel Bitcoin's price has become cost-effective, doing dual coins is also a good idea.$AEON Focusing on this project: a project incubated by Binance YZi Labs. Binance Ventures and ZI Labs are already high-risk, and the entire team is Chinese—some have worked at Binance, some are ordinary engineers at Google, and some have never led a team to develop Google's core projects. Just Li Yiyang, an ordinary engineer on the sidelines of Google, is hyped up for a long time. What is this project about AI payments, how does it connect to global merchants? Nothing has been realized. It's just a pipe dream project. Speaking of projects connecting to real-world merchant payment scenarios, the wallet was already established back in 2021. Other wallets had crypto bank cards and had already connected to dozens of merchants, integrating online payments and offline collections, but within two months, the project failed, proving that this kind of merchant-connected payment scenario track simply couldn't take offCrude oil fell nearly 9% in a single day, but the crypto market actually strengthened
A few days ago, the market was still worried about rising oil prices, but today the direction suddenly reversed
Brent crude fell below $85, with intraday losses widening to 8.77%
If low oil prices can be maintained, transportation and production costs may decrease, easing market concerns about inflation
BTC rose 0.78% today, ETH gained 2.6%, and risk sentiment has temporarily recovered
However, the sharp drop in oil prices may also be due to weakened demand expectations, so it should not be interpreted solely as positive
Going forward, it will depend on whether crude oil can stabilize and whether US Treasury yields and the US dollar will both fall $BTC $ETH #英伟达拟为OpenAI提供2500亿美元担保
In the past couple of days, many friends working in US stocks and Web3 AI have been discussing a phenomenon: NVIDIA is extremely actively investing in its own customers (such as CoreWeave, Lambda Labs, Mistral AI, etc.). After these startups secure financing, they immediately spend billions of dollars in orders to buy NVIDIA GPUs; Even more extreme, NVIDIA has provided credit guarantees or order binding for these customers' hashrate debts in some form.
Some say this is the most perfect closed loop of capital ecosystem in history; others say it is an extremely dangerous false prosperity. You ask me what I think?
To be honest, as a trader who has experienced several bull and bear cycles in the market, I first saw this pattern and felt chills down my spine—because it was almost identical to Cisco's ruined "Vendor Financing" during the 1999 telecom bubble.
Let me start with my clear view: in the short term, this is an unbeatable moat for NVIDIA to squeeze out competitors and secure computing power dominance; But in the medium to long term, if the real revenue of underlying AI applications can't keep up with the capital expenditure of chip frenzy, this will be a nuclear bomb-level structural risk mine.
Why do I say this? Let's break down the internal logic of this closed-loop and take a look:
First, this "capital flywheel" heavily relies on end-user applications to generate real fiat cash flow.
NVIDIA invests in customers with one hand and recovers GPU payments with the other, seemingly seeing a surge in revenue and gross margin soaring to 70%+. But the chips these cloud vendors buy ultimately have to be paid for by AI startups and enterprise clients renting computing power. If OpenAI and Anthropic burn tens of billions of dollars but their models fail to monetize expectations, and computing power leasing demand plummets, this closed loop will instantly shift from a "positive feedback flywheel" to a "negative feedback spiral."
Second, history always rhymes with similar rhymes.
On the eve of the 2000 internet bubble, Cisco also created a revenue legend by providing huge financing guarantees to telecom operators, prompting them to frantically buy their own routers. But when terminal internet traffic monetization failed and operators went bankrupt, Cisco not only failed to recover billions in bad debts but also suffered years of inventory destocking nightmares, with its stock price evaporating nearly 90% overnight. Nvidia's cash flow now is indeed much more abundant than Cisco once was, but the risk contagion chain of "lending money to customers to buy their right-hand products" remains unchanged.
Third, this risk is already extending into the Web3 computing power sector.
Many DePIN and AI computing power tokens in the market are essentially the lowest sub-derivative of this supply chain financing—buying a few NVIDIA computing power servers and issuing tokens under the guise of decentralized computing power rental. Once the supply-demand balance between top-tier NVIDIA and Neo-Cloud cloud arises, these underlying computing power concept projects without real paying users will be the first to be squeezed out of liquidity.
How long do you think Nvidia's closed loop can last? At what point will the Capex frenzy in US tech stocks hit its monetization ceiling? Feel free to share your thoughts in the comments section.AI is a once-in-a-century technological revolution, but the current market is half real growth, half bubble blowup. Many people only see AI concept stocks surging wildly, but don't notice the risks accumulating behind them. Blindly chasing at higher prices is very likely to become the buyers.
So here's the question: is there a simple and intuitive way to help us determine where the turning point for the current AI market peak is? Today, we will thoroughly explain the truth about AI investment using three core logics.
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First, AI's long-term certainty is real.
From an industry fundamental perspective, this AI wave is not just about hyping concepts, but about a supercycle created by real money. The Philadelphia Semiconductor Index, which represents industry prosperity, has doubled its cumulative gains in half a year, rising more than 20-fold over the past decade, making it the fastest-growing sector among all industries. Demand is tougher—the five tech giants—Amazon, Google, Microsoft, Meta, and Oracle—are expected to spend a combined $800 billion in capital expenditure by 2026, nearly doubling year-on-year.
From AlphaGo defeating Lee Sedol ten years ago to AlphaFold winning the Nobel Prize in Chemistry, AI has long moved from the lab into industry. The implementation speed of large models, autonomous driving, and industrial AI far exceeds expectations, with computing power demand growing threefold every year. In other words, there is no problem with the long-term logic of AI changing the world; this is the most certain industry trend for the next decade.
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But we must also recognize the risks.
First risk: Right now, only shovel sellers are making money; those digging for gold haven't made a profit yet.
Behind the boom lies a harsh reality—in the entire AI industry chain, the real profits currently come from upstream hardware vendors selling computing power. Ninety percent of global AI industry chain profits are concentrated in the hands of a few companies: Nvidia, TSMC, Samsung, and SK Hynix. Downstream cloud providers, large model companies, and AI application companies are basically throwing money to compete for the track, and their profit models have yet to fully develop.
For example: Google's AI-related capital expenditure this year reached $187 billion. To raise funds, it issued 100-year bonds with a coupon rate as high as 6%, but the revenue increase from AI is far from covering investment costs. Most importantly, AI has yet to produce a nationwide consumer killer application; most revenue still comes from corporate procurement and government projects, without forming a large-scale consumer market.
Upstream is already making a fortune, while downstream is burning money to tell stories—this structure is inherently unhealthy. This is precisely the most important industry logic for judging the turning point.
The second risk: rapid iteration, rapid capacity expansion, and the phenomenon of bubble differentiation imminent.
The AI industry has two unavoidable characteristics: most companies are destined to be eliminated.
First, industry iteration is happening too quickly. AI hardware updates only take two to three years. The computing power center built at 10 billion yuan today may become outdated in two or three years due to technological upgrades, resulting in massive investments being wasted and huge depreciation that could directly cut profits.
Second, capacity expansion is too rapid. Currently, global chip storage manufacturers are frantically expanding production, and SK Hynix has already started slowing the pace of high-end storage expansion, indicating that the industry has anticipated possible future oversupply. Once downstream demand growth can't keep pace with expansion, the situation will immediately shift from being scarce to a price war, with profits shrinking rapidly.
Take the 2000 internet bubble as an example—back then, anything connected to the internet could rise, but when the bubble burst, over 90% of internet companies delisted, and less than one-tenth survived. The current AI track is exactly the same: once the tide recedes, most concept stocks will show their true colors. Only leaders with real technical barriers and real performance can survive.
---
Earlier, I mentioned two risks—downstream not making money, oversupply on the supply side—both pointing to the same question: Can leading companies continue to hold up the valuation of the entire sector? If the faucet can't hold up, the entire chain will collapse.
Can the leading stock really hold up? This is where inflection point judgment comes into play.
Bank of America strategist Michael Hartnett provides a very intuitive AI benchmark for judging market turning points, so you don't have to guess blindly:
The MAGS ETF, which tracks the seven AI giants in the US market, is the core indicator of the entire AI market.
· If MAGS falls below $65, it means the leading stocks can't hold on, and the entire supply chain of storage, semiconductors, equipment, and materials will likely come under full pressure. At this point, be alert to risk spread—reduce positions where you should, and run away where you should.
· If MAGS holds above $70, it indicates market sentiment is recovering and capital is flowing back, signaling a relatively stable re-entry.
Why can an ETF act as the master switch? Because the core logic behind making money in the entire AI industry now lies in the seven giants, who are the engine of the entire industry. When the engine fails, limbs suffer. So don't just focus on individual stocks; focus on MAGS—65 and 70 are the lifelines of the industry.
---
To sum up: the AI supercycle is fine, but in the short term, it has already entered the bubble differentiation stage. In the long run, areas like computing infrastructure and domestic substitution must be supported by real performance; small stocks that only tell stories without core technologies could burst at any time.
Don't blindly chase highs in investment; look for companies with real cash flow and technological moats, and don't buy into vague expectations. Remember the MAGS anchor point—at least you won't be in the dark when the turning point comes.
The above are personal views and do not represent investment advice. Please be aware of the risks.#以太坊验证者退出队列已降至零
The number of people waiting to exit Ethereum staking has been reset to zero. Simply put: if you want to withdraw your staked ETH now, you don't have to queue, can leave anytime, and doesn't have to wait long.
Looking back to last year's market downturn, a bunch of validators swarmed to redeem and exit queues, blocking over 2.6 million ETH. Withdrawals took more than forty days. At that time, everyone panicked, afraid big players would crash the market, and the selling pressure looked terrifying. Now, no one is lining up to exit; essentially, large and retail pledgers don't want to cash out and leave, and confidence in long-term trends is returning.
Here's an interesting contrast: they exit instantly, but if you want to enter, stake and deposit, you have to wait 43 days. Over two million ETH are blocked at the entrance, waiting to get in. No one wants to run, while others rush in to claim staking yields—supply and demand are obvious at a glance.
From the perspective of ordinary crypto traders, this data is a solid positive sign, meaning there is no short-term risk of concentrated unlocking and sell-offs, and selling pressure has basically bottomed out. But don't get carried away blindly; short-term prices depend on the Fed's rate cut pace and the vote on the US crypto bill CLARITY.
In the long run, a large amount of ETH is locked up as collateral for a long time, so fewer coins circulate in the market, scarcity is gradually rising, so those holding long-term can rest assured; For short-term traders, don't rely solely on this data all-in; just put macro news first.Today, the China, US, and South Korea markets are likely all focused on Changxin's IPO. Although I don't trade the large A-shares, since it concerns my rebound positions in Hynix $SKHY and Micron, I must pay close attention.
The importance of Changxin's IPO has been extensively reported by various self-media, so everyone should be familiar with it:
1. For the large A-shares, there is now a flagship stock that can benchmark against the hottest memory sectors in the US and South Korea.
2. Regarding the China-US AI competition, the financing model has upgraded from government-led support to a joint financing involving government capital, industrial capital, bank credit, and public capital, opening the ceiling for commercial capital circulation.
3. The previously feared capital drain in large A-shares did not occur; today, the A-share indices closed broadly higher.
4. Although Changxin still has a technological gap compared to Hynix and others, China's recent years of overtaking and surpassing in multiple fields such as automotive, high-speed rail, power grids, photovoltaics, and rare earths have made industrial sectors in various countries shudder. Although the market generally believes there is still a three-year gap in HBM technology between China and South Korea, the pressure from the advancing "steamroller" chasing after them and the sense that catching up would kill the competition has impacted the stock prices of Korean and US giants. The path of inflating valuations by storytelling has been further blocked.
5. US capital is not monolithic either; Apple has repeatedly lobbied Trump to approve the use of Chinese memory in products sold in China. If realized, this would be a huge credit endorsement for Changxin's market acceptance. It would also significantly increase the profit margins of Apple's already price-increased products, which is one of the reasons for Apple's recent stock surge.
6. Changxin's IPO is somewhat analogous to SpaceX's, featuring a small float (6.73%) plus strategic high premium. Because the issue price was set relatively low, media outlets are now overwhelmingly promoting the first-day rise of 466% and a market cap exceeding 3 trillion. However, for those of us currently experiencing SPCX's halving, it is clear this implies potential shorting opportunities later. Yet, shorting large A-shares is technically difficult, so finding opportunities to go long on Hynix and Micron later is also a form of hedging. $SKHYNIX $SKHY $MU Changxin Technology's stock price surged nearly 5 times! How much higher can it still go?
Changxin Technology (688825) closed at 49 yuan on its first day of listing on the STAR Market, soaring nearly 5 times above its issue price!
Its total market value surged to 3.28 trillion yuan, surpassing Industrial and Commercial Bank of China in one fell swoop, topping the A-share market value rankings.
As China's first and the world's fourth largest DRAM manufacturer, the company’s global market share reached 7.67% in Q4 2025.
Comparison of the four major leaders:
Samsung: 33.96% share, market value about $1.12 trillion
SK Hynix ( $SKHY ): 34.48% share, market value about $1.13 trillion
Micron ( $MU ): 23.41% share, market value about $1.04 trillion
Changxin Technology: 7.67% share, market value about $484.7 billion
From a market value perspective, a reasonable imagination range for benchmarking against global leaders is roughly 1.5 to 2 times, which could approach or even briefly surpass the three storage giants. But its share is almost impossible to catch up with Samsung and Hynix.
The company's net profit attributable to the parent company is expected to be 50-57 billion yuan in the first half of this year, with production capacity expanding from 270,000 wafers/month in 2025 to 450,000 wafers/month in 2027.
Combined with increased procurement from domestic cloud and mobile phone manufacturers plus the explosive demand for AI server DRAM, the long-term market share is expected to reach 17%.
However, the strong cyclical and highly volatile nature of DRAM remains unchanged. Current prices are at a high level, and whether supply and demand support can continue remains uncertain.
Industry status, growth elasticity, and cyclical risks coexist.
Do you think Changxin Technology's current valuation is reasonable? $BEAT Perpetual contracts maintain negative rates and increase in open interest, with the core contradiction being the mismatch between strong derivatives short-short momentum and insufficient spot FDV support.
The price broke through $4.19 to hit a 24-hour high, with $4.167 billion FDV and $309 million in circulating supply forming a clear liquidity structure tear. Derivatives market open interest rose to $13.49 million, accompanied by a sustained negative rate of -0.08% to -0.05%, confirming that short stop-loss liquidation was the direct liquidity source driving the 24-hour 22% increase.
The liquidation chain in the derivatives market ranks first among the drivers, with negative rates forcing short positions to convert into buys; Spot funds attracted by repo and burn mechanisms and AI concepts rank second, providing initial liquidity for a breakout.
The upside scenario requires perpetual open interest to continue breaking through $13.49 million, while the funding rate remains deeply negative below -0.05%, effectively pushing the price to hold above $4.20. If the funding rate rapidly narrows toward the zero axis, passive short squeeze buying will lose support.
The downside scenario is triggered when the $4.20 high faces heavy spot selling pressure and the rate returns to zero. Since only about 30.9% of the total supply of 1 billion is in circulation, once derivatives are cut off, the lack of spot support can easily trigger a deep pullback toward the 24-hour opening price of $3.44.
When open interest drops sharply and funding rates turn positive, the benchmark assumption for short squeeze drivers fails, and the market returns to the spot supply-demand game phase.
The most important variable to watch in the next 24 hours is whether the $13.49 million opening interest can continue to expand, and whether the funding rate will tighten sharply.
#美国禁止开源AI的预期大幅回落 #AFX跨链桥被盗2415万USDC #多数党领袖称CLARITY休会前难通过CORE's 'grandma going down the stairs' wave, 0.024 is still pushing down—who's taking the lead? Looking at CORE's daily chart, it really looks like the elderly lady downstairs at my house walking down the stairs—pausing with every step, occasionally missing a step. Latest market data: CORE current price fluctuates around $0.024, down 1.4% in 24 hours, down 5.6% in two weeks, down 9.7% in 30 days. The drop may seem small, but looking back, it's a disaster—it's already pulled back 99%+ from its 2023 ATH of $6.14, with its market cap shrinking from a peak of nearly $10 billion to around $30 million, and the market cap ranking has dropped below the top 500. That real 'short streak' at the end of March was the real 'short sell-off': a single-day drop from $0.13 to $0.03, a 50% drop in one day, and a trading volume-to-market cap ratio soaring to 380%—this wasn't a swap, it was a panic escape. The trigger was the chain liquidation of the colend ecosystem lending protocol, combined with the forced consensus upgrade at the time that decoupled a large amount of CORE and delegated computing power. Validators were adjusting their own resources, with no one taking over. Why can't the old lady come downstairs for so long? Six kan stacked together: 1. BTC crash—CORE follows the BTCFi narrative, with a correlation coefficient of 0.87 with BTC. Bitcoin is grinding between 64,000 and 69,000, so knockoffs have no way out; 2. Unlocking selling pressure—total supply 2.1 billion, released linearly to 2137, only 59% circulating, 41% waiting to be released; 3. Chip concentration—90% of supply is held in 10is $MET the beta play to JUP?
does it outperform when $JUP rallies, and bleed harder when it doesn't?
I think at the moment they are correlated due to the nature of the assets and projects, so wondering if it makes sense to hold more of one or the other
would you rather hold $MET or $JUP ? BitMart exchange has also started running. In 2014, Mentougou closed down. Bitcoin crashed directly. 2017. Gathering coins and setting them out to sea. Binance is on the rise. Coin trading collapsed. The owners of the subsequent Ju coins have changed one after another. It's all about scamming. Previously, FTT went bankrupt. Only later did Merkle provide the Tree Asset Certificate. AAX, Zhongbian, and A.com all collapsed in one wave. Fcoin, once the world's largest trading and mining company, has also gone bankrupt. There is nothing that cannot go bankrupt. No exchange cannot go bankrupt. This wave has already listed many exchanges. Jubi flees to defend his rights. All exchanges have the possibility of collapse. The 10/11 incident. It was a bug at Binance. All market makers stopped placing orders. None of them engage in market making. A vacuum has appeared in the market. The market can drop all at once. You can also soar all at once. At that time, Binance bought orders and a series of staking bugs occurred. This led to a direct market crash. Market makers without risk control can also be directly taken advantage of. Binance was also hacked in 2020. No existing exchange is absolutely safe. Diversifying chips is indeed about spreading riskCZ: "Tough times again. Self custody..." The market heard "self custody". I heard "again". Bear markets aren't a single event. They're erosion. 2026 YTD: - Crypto market -25% - $BTC tested $64k - 99+ projects delisted or dead - 2 exchanges shut down in one week No headlines. Just quiet closures. The cycle repeats annually: Exchanges fail → tokens go to zero → new capital buys dips → repeat. My P&L leak wasn't bad calls. It was overtrading chop. Profit turned into bleed by being in the market evBEAT suddenly surged, and many people's first reaction was: Did the project receive some super positive news? But when looking at OKX's funding rates, long and short accounts, open interest, and trading volume together, it becomes clear that the core of this rally is not just news-driven. It is more like: buyback and burn combined with AI narrative laying the foundation, unlocking expectations that attract a large number of shorts to enter, price breaking through triggers continuous short covering, eventually evolving into position increases squeezing shorts. Let's first look at the latest data: BEAT latest price: about $4.19 24H open: about $3.44 24H high: about $4.20 24H low: about $3.39 24H change: about +22% 7-day change: about +76% 30-day change: about +104% OKX perpetual open interest: about $13.49 million CoinGecko circulating market cap: about $1.289 billion FDV: about $4.167 billion circulating supply: about 309 million BEAT total supply: 1 billion BEAT This is not an ordinary rebound, but a clear trend acceleration. 1. Why the sudden surge? First, shorts are crowded for a long time. OKX's funding rate has been negative for multiple settlement periods in the past, reaching: -0.08%, -0.07%, -0.06%, -0.05% during some periods. A long-term negative funding rate indicates that there are many positions betting on BEAT's price to fall. But the price never dropped as shorts expected; instead, it kept breaking through continuously. This forms a typical$AEON There is Air Coin. After much effort, OKX finally launched a new coin, but the storytelling Air concept of AI payments, integration with international malls, all of these were unfeasible Air Coins. These payments were made by wallets before, but they were outdated and not novel. Early wallet projects had crypto bank cards, on-chain payments, off-chain collections, and many functions beyond these implementations, but none succeeded or failedThe storage market may be moving from a "duopoly era" to a "three-way competition"
Over the past year, one of the biggest beneficiaries of the AI computing power wave has been the storage industry.
But the market has long held a default perception:
High-end storage is a game for Samsung, SK Hynix, and Micron.
Now, this pattern may be changing.
Changxin Technology was sought after by capital on its first day listing on the STAR Market, with its market value once reaching the 3 trillion yuan level, becoming one of the highest market value companies in the A-share market.
Just before this, Anthropic signed long-term supply and strategic cooperation agreements with Samsung and SK Hynix, with AI large model companies' orders continuing to concentrate on leading storage manufacturers.
An interesting phenomenon has appeared:
The capital market is still debating whether AI investment is overheated, but the industry side is continuing to increase investment.
My judgment is:
Changxin's listing may be more about valuation reappraisal in the short term, but in the long term, it will indeed change the global storage competition supply pattern.
The reason is simple.
The storage industry is not only about technological leadership but also about capacity, cost, and customer binding.
Samsung and SK Hynix's biggest advantage currently is their first-mover advantage in HBM and high-end AI storage fields.
But the significance of Changxin is that it officially brings China's storage capacity into the global capital market, adding an important variable to future DRAM competition.
For investment, I would not chase the sharp rise on the first day of listing directly.
Because a correct industry trend does not mean short-term prices are reasonable.
AI chips and storage stocks have already experienced a round of valuation expansion; what really determines the market later is not the story but whether orders can be continuously fulfilled.
If AI data centers continue to expand in the next few years and storage demand keeps growing, the market may accommodate more players.
But if AI capital expenditure starts to slow down, intensified competition may instead squeeze profit margins.
So now I focus more on three indicators:
First, whether HBM order growth continues;
Second, whether the storage price cycle reverses;
Third, whether the profit margins of various manufacturers can keep up with the expansion speed.
I believe the storage sector is not over yet, but the logic has shifted from "who has the AI story" to "who can make money in the AI supply chain."
The emergence of Changxin does not necessarily mean Samsung and SK Hynix lose their advantages, but it reminds the market:
In the AI era, computing power competition ultimately is not just about GPUs but the entire supply chain behind them.
#长鑫科技上市，全球存储竞争添变量
$SKHYNIX $SAMSUNG $MU #美联储周四凌晨公布利率决议
At early Thursday Beijing time, the Federal Reserve's FOMC interest rate decision, dot plot, and chairman's press conference will be released. This is the biggest recent macro event, directly determining the overall tone for risk assets in the next 1 to 2 months. Many newcomers only focus on "whether to raise rates or not." To be blunt, the interest rate remaining unchanged is basically the market consensus. What truly affects the market are the wording, the dot plot, and statements on inflation and the pace of rate cuts.
1. Current Market Background
1) The benchmark interest rate is currently in the 3.50%-3.75% range, and the mainstream market expectation is to keep rates unchanged this time;
2) The Middle East conflict has pushed up crude oil prices, and rising energy prices will bring inflation rebound pressure, so the Fed is reluctant to easily release easing signals;
3) The previous dot plot has already shown divergence, with half of the officials not ruling out restarting rate hikes within the year;
4) Bitcoin is currently in a range-bound consolidation, unable to break through the upper resistance, and funds are generally waiting for this rate decision result.
Three Scenario Simulations (directly corresponding to BTC market performance)
Scenario 1: Baseline Expectation (keep rates unchanged, tone neutral to hawkish)
Key wording: Inflation risk still exists, no discussion of rate cuts for now, possibility of future rate hikes reserved.
Market reaction: Short-term slight fluctuations, range-bound pattern continues. BTC continues to tug between 64000 and 66800, difficult to break out into a one-sided trend.
Scenario 2: Hawkish Surprise (keep rates, but significantly raise inflation expectations and revise dot plot upward)
Key signal: Clearly implies there are still rate hike options within the year, delaying rate cut expectations.
Market: USD and US Treasury yields rise, risk assets collectively under pressure. Bitcoin likely tests support at 64000; if effectively broken, further downside toward around 62000.
Scenario 3: Dovish Positive (keep rates, acknowledge inflation easing, release rate cut expectations within the year)
Key signal: Downplay inflation risk, release easing expectations.
Market: Risk appetite warms up, BTC challenges 66800 resistance; only by holding above can it open a new round of rebound space.
Important reminder: The market has long been pre-gaming expectations, making it easy to buy the rumor and sell the fact. Even if the result is dovish, if the positive impact is less than imagined, there will still be a spike followed by a pullback. Do not blindly chase longs. Sector · DeFi has won another round, and this is already the fourth time
Today, $AAVE and $ONDO led the gains, with DeFi up +9.8% for one day
Let's count this month: $ARB (on-chain fee return), UNI (fee switch), AAVE (fixed income vault), Lighter (perp fees), and now AAVE and ONDO.
With every rebound, the leaders are always charged. This is two different ways of writing the US market, where the capex penalty and cash flow bonus are the same transaction.
But I have to be clear: this isn't a 'Niuhui' (a refreshing episode), nor is it a knockoff season. 84% of ETF funds went into BTC, and the three knockoffs combined received less than 6 million.
Existing funds are doing single-point breakouts, moving after the rise and then moving elsewhere.
Approach: For protocols with real fee returns, the callback is configured at the #Ethereum validator exit queue has dropped to zero #英伟达拟为OpenAI提供2500亿美元担保 #RWA永续月交易量4700亿美元 $UB
Market breadth turns cautious on rebound candidates. Only 8 mature large-cap coins hold steady support while most recovering small caps lack buying stamina.
Altcoin Advance/Decline ratio hovers at 0.27, short bounces for small caps are easily faded. Only these 8 liquid large caps display reliable accumulation structure. Most mid-small caps reverse lower quickly after temporary rallies.
The 8 strong plays:
$ETH, $SOL, $ZEC, $HYPE, $SUI, $XRP, $DOGE, $BEAT
The 92 laggards:
$UB, $LAB, $KAITO, $ALLO, $RE, $SHIB, $PIEVERSE, $WLD and dozens of weak rebound tokens.
Fragile rebound market means small-cap recovery setups carry higher risk. $UB stages a mild bounce but lacks sustained smart-money backing; wait for confirmed structural improvement before aggressive exposure.$SUI
Market breadth diverges heavily among Layer 1 public chains. Only 8 top-tier tokens retain stable technical structure while most mid-tier chains struggle to attract capital.
Altcoin Advance/Decline ratio stays at 0.31, intra-L1 rotation becomes extremely selective. Only these 8 tokens hold solid moving average support and steady volume inflow. Most public chain altcoins face periodic selling pressure.
The 8 strong plays:
$SUI, $ETH, $SOL, $ZEC, $HYPE, $XRP, $DOGE, $BEAT
The 92 laggards:
$LAB, $KAITO, $UB, $ALLO, $RE, $SHIB, $PIEVERSE, $WLD and dozens of underperforming layer tokens.
Public chain rotation market rewards high-liquidity ecosystem assets. $SUI balances unlocking risks and narrative expectations; lesser-known chains lack sufficient capital buffer to resist volatility.#财报观察员：Can Microsoft, Meta, and Amazon Maintain the AI Narrative?
Microsoft, Amazon, and Meta are almost simultaneously pushed to the same life-or-death cliff: Gritting their teeth to follow through means burning hundreds of billions of dollars to buy a "life extension token"; any hesitation means watching customers flood to competitors like a retreating tide, leading to a slow death.
The three are tied to the same computing power war chariot, each with their own difficulties and stakes. The Q2 earnings reports they successively deliver are the first test of the effectiveness of this round of cash burning.
Microsoft: Azure growth must not drop, spending must not go wild
The main focus is twofold: whether Azure growth can hold around 40%, and whether the next capital expenditure guidance will be shocking. Last quarter, they already spent 31.9 billion, with Q4 expected to exceed 40 billion, aiming for 190 billion for the full year. If the new fiscal year CapEx guidance far exceeds expectations and free cash flow tightens, the stock price will react immediately. Azure AI growth is strong, doubling year-over-year, new computing power is monetizing, and Microsoft 365 Copilot is beginning to roll out in volume. Simply put: if Azure holds steady at 40% and spending stays controlled, the stock price can catch a breath.
Amazon: AWS growth is the only answer
The verdict comes after market close on July 30. Market expectations are that AWS revenue growth may exceed 30%, the first time since 2022, driven entirely by AI model providers competing for computing power—Anthropic and Bedrock services are the main drivers. Amazon has internally committed to investing 200 billion in infrastructure by 2026, at the cost of nearly zero free cash flow over the past year, investing $1.5 for every $1 earned. AWS profit margins are expected to improve slightly, but if free cash flow continues to deteriorate, the market will turn on them faster than flipping a page. In short: whether AWS growth can prove that the 200 billion investment was not wasted is the only point of interest.
Meta: Advertising profits are strong, but spending is even stronger
They report on the same day after market close. Revenue is expected to grow over 26% year-over-year, with advertising revenue potentially surpassing Google search ads for the first time—a historic moment if it happens. AI advertising tool Advantage+ has already generated 60 billion in annual revenue, showing strong momentum. But the problem is even stronger spending: full-year CapEx has been raised to 125-145 billion, with Q2 alone possibly exceeding 33 billion, doubling year-over-year. The consequence is direct—Q2 free cash flow will likely turn negative, and the full year may plunge from last year's 43.5 billion to less than 2 billion. Meta is betting on one thing: that advertising revenue can keep pace with the burn rate. How long it can last, no one knows.
Three earnings reports, one question: After burning through hundreds of billions, when will they actually start making money?
If earnings exceed expectations, the AI hardware chain will be revalued, and sentiment for storage and semiconductors will improve; this is great news for shovel sellers like Micron, SanDisk, Hynix, and the newly listed ChangXin today. Market risk appetite will rise, $BTC is expected to challenge the 65700-66000 short squeeze zone, $ETH is more resilient and likely to outperform BTC, pushing toward 2000. If earnings fall short, tech stocks will be pressured, risk assets will weaken simultaneously, BTC may retest the 64000-64500 range, and ETH may pull back to around 1800, which is normal.
In the long run, upstream chip manufacturers benefit first, and after massive computing power deployment, the cost of using AI tools will gradually decline. JUST IN: $ZEC activates its Ironwood (NU6.3) network upgrade tomorrow around block 3,428,143, introducing a new shielded pool, quantum-recoverability features, and stronger supply verification via the turnstile mechanism.The derivatives market is pricing in a low-volatility tail rather than a directional breakout.
The core disagreement in the original text is whether U.S. stocks and ETFs can support short-term consolidation, but the variable most likely to invalidate this positioning is the leverage and basis structure already accumulated in the derivatives market.
On the factual side, the original text mentioned that if US stocks remain stable and ETFs are not net selling, the market may continue to consolidate; Once the ETF turns to net selling or U.S. stocks weaken, the correction will begin. However, the original text does not mention that the current BTC perpetual contract funding rate has returned to a neutral low level, and the futures basis remains in the 5%-8% annualized range, reflecting that leveraged long positions have been partially unwinded, though not to the point of extreme squeeze.
Structural changes:
- The funding rate is in the 0.005%-0.01% range, meaning the cost of adding a long position is very low, but it does not create an urgent short squeeze.
- Futures basis fluctuates in a narrow range, indicating that arbitrageurs have not entered in large quantities and the market has not entered a deep premium state.
- Implied volatility quickly fell after the recent option expiration, short-term call option premiums disappeared, and the market priced in zero directional rallies.
Pricing impact:
- If US stocks rise and ETFs see net inflows, low funding rates may force short covering, pushing BTC upward to test resistance, but ETH needs to ramp up to confirm strength.
- If U.S. stocks fall or ETFs turn into net outflows, the current low volatility structure means the downside may be faster than the upside, as there is a lack of sufficient long protection for positions, and liquidation risk is concentrated below.
Bullish path: funding rates remain low with no basis widening; after short accumulation, spot buying triggers a short squeeze, and stabilization of the ETH/BTC exchange rate provides support for altcoins. Condition: U.S. stocks must not experience a single-day drop of more than 2%.
Bearish risk: Funding rates remain low but prices fail to rebound, indicating that buyers' strength is exhausted; If the basis narrows below 3%, it would mean arbitrageurs are exiting, and spot selling pressure may accelerate. Condition: U.S. stocks weaken for two consecutive days or ETFs see a single-day net outflow of over $200 million.
The biggest contradiction in the current market is the coexistence of low volatility and low leverage, which could be both the starting point of a new trend and a precursor to liquidity traps. Conclusion: The derivative structure has not yet given a directional signal; we are waiting for the basis or funding rate to reach an extreme value.
Risk warning: If macro events disrupt the low volatility pattern, existing positions may become invalid instantly.
$BTC $ETHJUST IN: BNY Mellon’s Belgian unit and BitPay are among 15 new CASPs added to ESMA’s MiCA register.
Bringing the total to 309 licensed providers.
$BNB In 2000, the dot-com bubble burst.
Hundreds and thousands of websites wiped out overnight, and media and investors almost unanimously said: the internet is a scam.
Back then, the internet was just about searching, shopping, and sending emails
All of this is boring, and there's no future in sight.
At the most pessimistic times, two applications were already taking shape and had huge narrative potential:
Google and Amazon.
Google's advertising model has given countless struggling small websites sudden income, and for the first time, the content ecosystem truly flourished;
Amazon has integrated payments, logistics, and recommendation systems one by one
So as long as one or two applications with real demand and can generate self-sustaining success run smoothly, they act like engines, driving the entire ecosystem into motion.
Many people today look at blockchain with the same thought: no innovation, no future.
The reason is similar: the ones that truly break out and can generate self-sustaining are stablecoins and RWAs.
So a group of people turned around and started speculating on AI, leaving the crypto world.
But from another perspective: once RWA is truly implemented and scaled up, it will grow into things we can't even imagine today, much like Google and Amazon back in the day.
RWA is the only narrative in traditional finance where real money is willing to enter, led by names like BlackRock, Franklin, Circle, Ondo, and WisdomTree.
Our current focus should be on RWA, watching whether it is rapidly expanding and finding areas that can truly capture value, such as ETH, DeFi, etc.—there is plenty of time to pay attention to
A truly revolutionary innovation, with dividends lasting more than ten years.
As long as he stayed at the table, he never lacked opportunities to turn things around.
After all, the first-generation iPhone was released in 2007, and 20 years later, Apple's stock price is still at new highs
And Amazon, Google, and others;$BTC ends July on a strong note.
But then the season begins, which I would be more careful about.
Historically, August and September are often slower:
less volumes,
lower liquidity,
Less strong pulses.
And the real activity usually begins to return in October.
Therefore, I would not be surprised if, after a strong July, the market first decides to cool down a little.
Sometimes the best move is not to trade every move. 7·27 CORE Observation: Again Criticizing Project Team's Lack of Vision? I'm dying laughing
After glancing at the candlestick chart this afternoon, CORE put on another "hero on the scene, instantly turning into a bear" drama. During the morning surge in the group, how many people shouted "This time is different"—what happened? By 4 PM, intraday volatility had dropped to 12%+, with turnover rates more than tripled. The comment section was all — "Project team, are you even human?" "Has the perspective been eaten by a dog?"
I'm really impressed—do you really not understand or are you pretending not to?
I put my words straight here: If I were in that seat, I'd smash it even harder than they did—so hard that they called me the Ancestor.
Why? Think about it: how much did CORE's early chips cost? It's like you go out and pick up a piece of scrap paper, only to turn around and find it can be sold for money. Zero-cost gadgets—if you sell a million per second, that's pure profit. You sit in front of your computer, looking at the countless zeros in your wallet, and tell me you want to "protect your disk"? Protecting your ass, if your fingers don't behave, you want to "sell" them—that's human nature.
Even more funnier, the comment section is full of smart people teaching project teams how to do things: "Have long-termism" and "Market value management." I just want to ask—if the project team doesn't dump their tokens, what will they use to support those programmers? What do you use to pay for server electricity? The bit of liquidity you slacking off on the DEX today was all held up by USDT earned from selling coins. Do you really think you can generate power from dreams?
Today's on-chain data is even more heartbreaking: CORE's total network TVL has shrunk by nearly 8 points compared to last week, and the depth of several pools is indeed becoming shallower. At times like this, if the project team doesn't sell some coins for rations, do they really expect the community to shout "666" and pay development salaries?
So stop complaining, it's really unnecessary.
Selling out is not about lacking vision; it's the project's only "business model." Zero-cost chips are exchanged for real money, using real money to support the team, then continuing to invest after the team is finished—a closed loop, perfect, a business genius.
An on-chain record I just dug up this afternoon shows that the project addresses allegedly fed another 1.5 million CORE to the exchange. Someone tweeted that this was "allocation of ecological construction funds." Mixing my foot, isn't this basically telling you: I've withdrawn again, do as you please.
To put it bluntly—in this game, the project team is responsible for "building" (building their own wallet), while retail investors are responsible for "structure" (being forced to build their own budget). If you can't even figure this out, then today's 12% amplitude can be considered as paying tuition.
After all, they have zero cost—no matter how much you spend, it's a win. Every coin you catch is helping the project team "build" the next luxurious lunch.
Vision? Can vision be enough to make a living? Today's move is called "showing you the answer through action."BTC 跌破 6.2，散戶還有沒有機會
恐懼貪婪指數 22，極度恐懼
歷次 BTC 大跌都伴隨 3 個結構性信號。
恐懼貪婪指數 22。極度恐懼，歷次 < 25 的日子未來 30 天平均回報 +12%。
交易所淨流入連續 7 天正值。恐慌拋售正在發生，籌碼從散戶流向交易所。
已實現損失 35 億美元。虧損賣出的籌碼被市場吸收。
組合配置永遠比單個標的判斷重要。
組合配置永遠比單個標的判斷重要。
📌 把恐慌拆成幾個可以驗證的問題
第一個問題是誰在賣：短期投機者、礦工、基金，還是長期持有者。第二個問題是賣壓有沒有被現貨買盤吸收。第三個問題是槓桿清洗之後，成交量和波動是否開始收斂。只有把這三個問題分開，才不會把情緒誤認成趨勢。
🧭 我會怎樣跟蹤
我會記錄交易所淨流入、未平倉量、現貨成交量和長期持有者供應的方向，再和價格反應對照。如果價格跌但賣壓逐步減弱，市場可能進入整理；如果價格反彈但槓桿重新快速堆積，則仍然要防止二次清算。
⚠️ 風險提醒
恐懼指數只能描述情緒，不能預測下一根 K 線。歷史回報也不保證重演，任何分批計劃都要先確定自己能承受最壞情況。
🎯 最後的執行框架
不在急跌中追空，也不因為一根反彈就梭哈。把資金分成觀察倉、確認倉和備用現金，等信號改善再逐步調整。
我會把這個話題拆成三層來看。第一層是可以直接觀察的數據，先記錄數值、時間和方向，避免只截一張圖就下結論；第二層是市場如何反應，數據改善但價格不動，和數據轉弱而價格仍然上漲，含義完全不同；第三層才是自己的操作，先寫下最大可承受損失，再決定是否需要調整倉位。這個順序看起來慢，但能減少被單一標題帶著走。
對我來說，賣方結構、槓桿清算和現貨承接要放在同一張表裡對照。每次更新只改變有新證據的部分，不能因為一個數字變化就把整個判斷翻轉。若三個觀察方向彼此矛盾，我會把結論降級為「等待確認」，而不是硬湊出一個看多或看空的故事。市場中最容易被忽略的成本，是過早確定之後不願意承認假設已經失效。
執行上我會先用觀察倉測試，等成交量、價格和基本面至少有兩項同向，再考慮增加曝險；若波動擴大或流動性變薄，則先縮小倉位。任何回測、歷史案例或 KOL 觀點都只能用來建立假設，不能代替當下的風險檢查。這篇內容是我的研究筆記，不是保證收益的買賣指令。
我會在下一次更新時重新檢查四件事：消息是不是仍然有效、價格反應有沒有確認、流動性是否足以執行，以及原本的風險假設有沒有被破壞。若只是社交媒體熱度上升，卻看不到成交量或資金的配合，我會把它當作待觀察訊號；若數據方向改變，也會同步修改原先的劇本，而不是為了維持面子繼續持有。
這種做法的好處是把「看法」和「行動」分開。看法可以保留多個可能性，行動則必須有清楚的觸發條件。對短線交易，我會設定時間上限；對中長線配置，我會檢查基本面和資金成本。無論最後結果如何，都把進場理由、退出理由和實際滑點記錄下來，下一次才有真正可以改進的復盤材料。
如果資料來源之間互相矛盾，我會先標記衝突，等原始公告或下一個時間點確認，不用社交媒體的情緒替代證據。這也意味著有些時候最好的操作是空倉等待，因為沒有交易本身也是對不確定性的管理。🚨 The exchange era might be coming to an end.
BitMEX just announced it’s shutting down in September.
Think about that for a second.
11 years in the game.
$2 trillion in volume on a single contract.
And now it’s reportedly doing around $400,000 a day.
The decline didn’t happen overnight.
They tried to sell the business first. A bank was hired, with a target valuation of around $1 billion — but no buyer stepped in.
Then, just 3 weeks before the shutdown announcement, the CEO, CFO, and head of growth all resigned.
$BMEX dropped 90%.
And BitMEX isn’t alone.
Coinbase, Kraken, Gemini, and Crypto.com have all cut staff this year.
But while exchanges are shrinking, something bigger is happening underneath the surface.
17 banks — including JPMorgan, Citi, and Bank of America — are building their own onchain settlement network.
The exchange was supposed to be the bridge.
But now, everyone is starting to build their own roads.
Meanwhile, Hyperliquid generated $161 million in revenue in Q1 — the highest of any DeFi protocol.
The old exchange model was a workaround for broken infrastructure.
Now the infrastructure is getting better.
And when the rails improve, the middlemen start getting squeezed. 🚨
#DailyOrbit Brothers! Something's wrong, very strange!
I want to short this round.
The Ethereum $ETH market looks vibrant and vibrant. But the distribution of liquidity reveals an even harsher reality.
Dynamic groups are both bullish and bearish, with two extremes spreading out.
Look at this market book: from 1.965, dozens of tiers are all pending orders, densely packed like a steel cage.
But with a total order volume of less than 25 ETH, a few tens of thousands of dollars can push the price up or down. This shallow order means the market maker can draw candlesticks with any single order, which is all inflated.
I spent a long time browsing group chats and found several key signals:
First, the agency is on the move. Ethereum spot ETFs saw a net outflow of $161 million this week, marking four consecutive weeks of net outflows. On July 24, BlackRock withdrew $52.8 million in a single day.
Institutions are cashing out and exiting, while retail investors are still pushing in—isn't this just buying the position?
Second, retail investors and institutions are highly unanimous in their bullish stance. Data shows that 70.6% of retail investors are long, and 67.1% of top traders are long.
After ten years of brick moving, I understand one thing best—everyone on the construction site thinks that the time they can leave early today is usually when they have to work overtime until midnight.
The crypto world is the same; when everyone agrees to be bullish, it often signals an impending reverse market.
Third, the technical bearish signals have already appeared.
The 4-hour MACD death cross continues, and the histogram continues to expand below the zero axis.
Although the 1-hour RSI is at 39, close to oversold, oversold does not mean the decline has stopped. Without buying support, a weak oversold market can easily lead to a continued decline.
Fourth, macroeconomic support is also unsupported. The probability of a Fed rate hike in July is 36.3%, and in September is 55.2%. High U.S. Treasury yields are suppressing risk assets, and U.S. tech giants have just experienced a round of sell-offs.
The broader environment does not support ETH continuing to surge.
I don't deny ETH's long-term value. Vitalik just released the "Lean Ethereum" roadmap, and the next three to four years will be restructured.
But that's a long-term matter; in the short term, a correction is still necessary.
For this order, I chose to go short. Brick workers are tough on everything and have the toughest head. Believe in yourself and get to work!
$BTC
$SHIB
#美联储周四凌晨公布利率决议 #美军暂停对伊空袭, international oil prices opened sharply lower
The familiar script from the US and Iran has returned.
The war escalated, the market panicked, oil prices soared, and as soon as a ceasefire signal appeared, funds immediately began celebrating early, crude oil plunged, and risk assets rebounded.
Today, Brent crude oil $BZ plunged, Bitcoin climbed back above $65,000, and Nasdaq futures strengthened in tandem. Market sentiment is once again shifting toward a calm outlook.
But personally, I am not optimistic about this ceasefire.
Everyone knows Trump's style—he likes to use extreme pressure to create bargaining chips. Earlier tough statements and military pressure, followed by signals of easing—this kind of 'strike the stick, then negotiate' has not happened before.
But Iran is not an opponent to bow its head easily.
Iran has maintained a tough stance and will not accept all conditions just because of a brief pause. For them, this is not just a military conflict, but a contest of regional influence and strategic security.
So now, it feels more like both sides are temporarily pressing the pause button, rather than a true handshake and reconciliation.
History tells us that the greatest risk in the Middle East is that every seemingly de-escalation can escalate again due to a single surprise.
The drop in oil prices today is due to funds withdrawing from the war premium, $BTC rise, and also a recovery in risk sentiment. But if subsequent negotiations break down or conflicts flare up again, the market may reprice.
I lean more toward believing that this $BTC rally is a sentiment rally, not a major trend reversal.
The above is just my personal opinion and does not constitute any investment advice!(1) SanDisk (SNDK.US) Pre-market Performance On July 27, before the U.S. stock market opened, SanDisk rose over 4%. Year-to-date, the increase has reached as high as 505.17%. Pre-market price is about $1,436.56. Background Analysis: Last Friday (July 24), memory chip stocks faced a fierce sell-off, with SanDisk plunging over 10%. The pre-market rebound on July 27 was a technical recovery that reversed last Friday's collective decline. Drivers of the rise include: the U.S. and Iran pausing their attacks, a sharp drop in oil prices improving risk appetite; Chinese DRAM giant Changxin Technology surged 465.82% on its first day of listing, prompting a reassessment of DRAM prosperity and AI storage demand, with related sentiment spilling over to US storage stocks; South Korea's two storage giants (Samsung and SK Hynix) have reached a $950 billion semiconductor cooperation agreement with a US tech giant. In terms of storage industry fundamentals, TrendForce data shows that server DRAM contract prices in Q3 2026 will increase by 13%–18% compared to Q2. Tianfeng Securities pointed out that this round of improved storage prosperity is the result of changes in demand structure, a more rational expansion of supply, and a recovery in the inventory cycle of the industry chain. Summary: SanDisk rebounded strongly before the market opened, but caution is needed regarding the technical compensation nature after last Friday's sharp drop and the controversy over whether the storage industry cycle has approached its peak. (2) SK Hynix (U.S. ADR: SKHY.US) Pre-Market Performance On July 27, before the U.S. market opened, SK Hynix rose nearly 6%. The pre-market price was about $154.57. Year-to-date, it has risen about 3.74%. $SOL is still holding the key support of 74-75.
My plan here is pretty simple.
If the price breaks through the descending trend line, the next target is 83.
If $SOL consolidates above 83, I will look at a movement towards 98-100.
But if the support of 74-75 does not hold, I will not catch the falling knife.
In this case, the next zone where I would look for the entrance again is around 67-60.
As long as 74-75 holds, the bulls still have a chance to continue moving. $ZIL's handicap was so quiet you could hear the pin drop. According to OKX real-time data, the current price is $0.0023, down 4.64% in 24 hours. The intraday highs and lows are at 0.0025 and 0.0023, with a range of 0.0%, and trading volume dropping to near zero. This is almost not a shock, but a freeze, like a chip circuit freezing current in front of a logic gate. The cross-sections at the edge of the token logo, symbolizing the sharded network, now look more like sealed wafers, just one pulse away from reactivation. Volume dropping to zero is often the most honest confession from the main players. Most retail investors panic at the drop, but fail to see that this extreme shrinkage is not a frenzy of selling pressure, but rather that floating chips have completely dried up. $ZIL Since the drop from its historical high, those who needed to cut losses have long been cut; what's left are either deeply trapped and pretending to be dead or early chips with costs so low they can be found. When both buy and sell orders are sparse to the point of being almost empty, a single small order can cause a 4.64% drop, which proves that support below is thin, but also means that the upper pressure is not real. A bearish candle without volume is seen by technical experts as a typical retail trap. Bears create panic at minimal cost, luring the last holders to hand over their bloody shares. Switching to the wave perspective, the five-wave downtrend structure at the $ZIL weekly level is nearing exhaustion. The main decline of the third wave collapsed from around 0.0045, and when the fifth wave reached the current area, the decline slowed significantly, forming a Fibonacci time symmetry with the first wave. If we pull the Fibonacci ratio from the previous upward start point of 0.0018 to the high of 0.0062, 0.0023 happens to be at the deep retracement level of 0.786. This position is called the "last line of defense" in the Fibonacci system. Once holded, the rebound space usually points toward 0.618, i.e., around 0.0035, and in extreme cases, targets the 0.5 water level at 0.0040. Currently, the price is repeatedly grinding close to 0.786, while the daily RSI quietly breaks out of a bottoming divergence, hitting even lower lows. However, momentum indicators refuse to follow, and the green bars are tightly contracting and could rebound at any moment. This divergence between volume, price, and momentum often replicates the same script on OKX's market. Trading volume shrinks to the extreme, like gas compressed to critical volume, and the subsequent burst often lacks an intermediate state. Retail investors stared at the sparse order stalls, thinking no one was interested, but they didn't see the on-chain small tentative buy addresses slowly climbing. The main players are waiting for an opportunity—perhaps a breakthrough in fragmented ecosystem throughput, or a recovery in overall market sentiment. At that time, just a small amount of capital can instantly turn the liquidity vacuum into a short squeeze. $ZIL's sharding architecture is like a transistor running parallel on a chip. As soon as the underlying instructions resume connection, each network resumes confirming transactions, and the sense of speed is faster than any hesitation. Standing at this unusually calm moment, the technical signals are clearer than any news: the stop loss should be set below 0.0018, which is the retracement limit of Fibonacci 1.0 and the starting point support for the previous rally. As long as $ZIL doesn't break through that defensive line, the daily bottom structure remains valid. A 0.0% amplitude is not death, but sleep. The second before the chip powers on is always the quietest second. What a country's capital market chases reflects its industrial foundation.
US capital is willing to heavily bet on cutting-edge technology, gambling on the discourse power of the next generation of technology. South Korea directly ties its national fortune to semiconductor memory; chips are its industrial backbone.
In the A-share market, for a long time, the market cap ceiling belonged to Kweichow Moutai, representing the ultimate certainty of the consumer era with stable cash flow. However, on the first day of listing, Changxin Technology's market cap surpassed Moutai, marking the first time hard-tech manufacturing in the A-share market has reached the peak of market value.
However, this high market cap is compounded by the industry boom driven by AI-induced memory price increases and the emotional premium brought by scarce circulating shares of new stocks. DRAM is a typical strong cyclical industry; when the market is good, profits surge, but oversupply can lead to losses again. High-end technology and upstream supply chain bottlenecks still objectively exist.
But no matter what, the AI track must be pursued, must be done, and must be aggressively attacked!
The new king's ascension has already given you the answer.这周比特币生态的叙事主线，其实就是在两条平行线上拉扯：一边是BIP-110引发的共识规则之争，另一边是Alkanes生态的金融工具加速落地。BIP-110的争议已经不再只是技术讨论，而是上升到了“是否该把垃圾交易过滤写进共识层”的博弈。微策略创始人Saylor、早期贡献者Adam3us公开反对，开发者Murchandamus和Peter Todd持续指出实现漏洞，而全球最大算力矿池Foundry发布的矿工指南也显示，支持率仍不足1%。这个数字说明，主力资金和矿工群体目前并不打算让这条提案真正成势，但争议本身已经把市场对“规则变更”的敏感度拉满。🧐
另一边，Alkanes生态的节奏明显更快。SUBFROST的P2P借贷已经上线，用户可自定义金额、利率和期限，彻底绕过资金池和预言机，紧接着frUSD稳定币方案开始预热，计划用USDT和USDC流动性支撑在BTC L1结算。同期FIRE存款已达1210万美元，说明资金热度并未退潮。开发者BitBragi推出的Aries工具补上了AI辅助合约开发的缺口，而CheekyB的一键Mint+Swap则让铸造DIESEL后直接换CKB成为现实，参与门槛进一步降低。Taco Clicker两周后停止产出新TORTILLA，为LP挖矿让路，这些动作都在表明：Alkanes正在从概念走向可操作的金融基础设施。🔥
UniSat和◉RD则在继续拓宽入口和流动性。UniSat修复了Runes和Alkanes混合UTXO的误烧风险，同时开启InSwap S4最高奖励45,000 FB，手机端直接支持SUBFROST。◉RD这边，OMB蓝眼以0.42 BTC成交，LOT批量报价和Ordinals捐款入口上线，Ord Hub每日挖矿让交易和积分玩法并行。比特币资产市场RareBtcAssets也上线非托管交易，支持Ordinals、Counterparty和Stamps互换。底层方面，Bitcoin Core补发v29.4和v30.3修复关键问题，Strategy、BlackRock、Coinbase等9家机构成立安全联盟投入1500万美元做抗量子研究，Drivechain预告eCash 8月23日硬分叉，BIP-361抗量子迁移原型出现。闪电网络Wavelength测试版让AI Agent接入非托管BTC支付，隐私暗池原型也首次亮相。最后，曾占全网18%算力的矿池Poolin申请Chapter 11破产，负债1.73亿美元，矿业旧账被翻出，但行情并未因此波动。💥
整体来看，这周不算热，但该动的都在动。BIP-110的争议尚未形成实质威胁，而Alkanes的借贷、稳定币、AI工具正在一步步把BTC生态的金融层做实。UniSat和◉RD继续扩入口，抗量子和隐私工具也在补课。这条链上的叙事，正在从“炒概念”转向“建基础设施”。🚀
#Bitcoin #Ordinals #Runes #BRC20 #AlkanesMarket status as of: U.S. stock market close on July 24, 2026. Valuations, leverage, surveys, and macro indicators are used according to their latest published periods. Conclusion first: The final comprehensive bubble risk score for this period is 7.7 / 10, indicating a medium-high risk, with the bubble phase still judged to be in the mid-to-late stage. Compared to the previous report on July 17, the total score remains the same, but the risk structure has worsened: sentiment has shifted from greed to fear, reducing short-term overheating from chasing gains; meanwhile, SPY, QQQ, and semiconductor ETFs have fallen below key moving averages, with technical risks clearly rising. This is not a "valuation bubble burst," nor is it a simple healthy rotation. More accurately, the market is undergoing a stress test: • Extremely high valuations have not significantly declined; • AI earnings and capital expenditures still have fundamental support; • There is a clear divergence in AI hardware, cloud platforms, and storage chains; • Equal-weighted indices remain relatively resilient, but on July 24, the number of declining and new low stocks on the NYSE dominated; • Credit spreads remain very tight, with no confirmation of systemic risk. Therefore, the current greatest danger is not "all U.S. stocks crashing together," but rather: The trend of high-valuation AI assets is beginning to weaken, while leverage remains high.  Special analysis on the AI bubble One-sentence judgment AI bubble special score: 8.5 / 10, phase judged as "structural bubble." Slightly down from the previous period but still in the high-risk zone. The risk has slightly decreased, not because AI assets have become cheaper, but because crowded trades have already undergone the first round of deleveraging. However, valuation, earnings concentration, and Cap