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📊 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 实时价格更新 🚀
收到！当前价格已上攻至 $60.3，较前日低点$56.56反弹超6.6%，成功收复$60整数心理关口与EMA50均线。24小时高点刷新至$60.85，多头正在测试EMA200（$62.49）前的最后真空区。
📊 支撑位与压力位（实时修正）
压力位（上方阻力）
· $60.85 - $61.20：日内新高与4小时布林上轨构成的即时火力点
· $62.49 - $63.21：EMA200与Gate分析师强调的关键阻力带，突破将打开上行空间
· $66.79 - $76.67：斐波那契0.618与历史前高组成的硬顶套牢区
支撑位（下方防线）
· $59.50 - $60.00：原压力位转化首道支撑，$60关口已成多头堡垒
· $57.80 - $58.37：枢轴点与4小时中轨，回调时的缓冲地带
· $56.00 - $56.56：近期低点，跌破将宣告假突破
🐋 链上庄家动向
价格突破$60的同时，7月25日提取3287万美元并质押的鲸鱼浮盈超10%**，该实体九个月均价$44，当前账面盈利丰厚。总质押量攀升至4.36亿枚，锁仓减少市场流通卖压。
但⚠️ Multicoin Capital近200万枚（1.2亿美元）解质押及a16z关联地址的出货压力仍悬顶。7月27日单日销毁20,640枚（约124万美元），通缩持续吸收抛压。
📈 利好因素
成功突破$60心理关口触发量化买盘，期货空头面临挤压。若站稳$60，技术面将确认底部抬高结构。
Hyperliquid净收入达8亿美元，累计回购销毁4.73%流通供应。HIP-4升级与预测市场上线持续赋能生态。
7月29日6亿美元解锁已被市场提前22%下跌部分定价，若解锁后放量企稳$60上方，将构成利空出尽反转信号。
📉 利空因素
7月29日与FOMC决议同日降临——6亿美元解锁洪流叠加鹰派风险，高Beta山寨面临双重宏观+供给冲击。
Multicoin与a16z的大额解质押/转账记录显示一级市场资本仍在离场，做市商托盘意愿存疑。
当前RSI逼近58，CMF虽改善但未转正。价格突破$60但成交量未显著放大，量价背离警示追高风险。
⚠️ 以上分析基于公开链上及市场数据，不构成投资建议。$60攻防战今夜定胜负，7月29日变盘窗口临近，请严控仓位风险。 🎯$HYPE #长鑫科技上市，全球存储竞争添变量 #美联储周四凌晨公布利率决议 #美军暂停对伊空袭，国际油价开盘大幅下跌 【图文观察｜美元流动性】北京时间19:16，金十文章线索：美银警告：美股最弱窗口即将到来，黄金美元有望迎来机会。
外汇快照：欧元/美元 1.1392（+0.20%）；美元/日元 163.63（-0.14%）；美元/人民币 6.7662（-0.06%）。美元方向会影响全球流动性定价，也会改变BTC、ETH这类风险资产对消息面的敏感度。
背景摘要：“8月魔咒”是否真的存在？过去数十年的市场数据正在提醒投资者：夏季行情并非简单的“下跌季”。美银分析师指出，8月至10月更容易出现防御型市场环境，美元、黄金和债券可能比股票更受资金青睐。
验证点：若美元/日元继续上行且离岸人民币承压，风险偏好可能更谨慎；若美元回落，风险资产反弹的弹性更值得观察。
风险提示：央行干预、关税消息或突发地缘事件可能改变汇率传导路径。仅作市场观察，不构成投资建议。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.$AEON focuses on this project, incubated by Binance YZi Labs. Binance Venture Capital's zi labs is inherently high-risk. Moreover, the team is entirely of Chinese descent, including Chinese who have worked at Binance and an ordinary engineer from Google named Li Yiyang, who has never led development on any core Google projects—just a regular engineer on the fringes of Google. The project is heavily hyped, claiming to do AI payments and connect global merchants, but the actual implementation is zero; it's just a pie-in-the-sky concept project. Furthermore, regarding projects that integrate real-world merchant payment scenarios, wallets were already developed back in 2021. Other wallets had encrypted bank cards and connected to dozens of merchants, fully integrating online payments and offline collections. Yet, within two months, those projects failed, proving that this payment scenario track integrating real merchants simply cannot succeed.原油单日跌近9%，币市反而走强
前几天市场还在担心油价上涨，今天方向突然反了
布伦特原油跌破85美元，日内跌幅扩大至8.77%
如果低油价能够维持，运输和生产成本可能下降，市场对通胀的担忧也会有所减轻
BTC今日上涨0.78%，ETH上涨2.6%，风险情绪暂时回暖
但油价暴跌也可能来自需求预期减弱，因此不能只理解为利好
后续要看原油能否稳定，以及美债收益率和美元是否一起回落$ETH $BTC #英伟达拟为OpenAI提供2500亿美元担保
这两天不少做美股和 Web3 AI 赛道的朋友在讨论一个现象：英伟达在极其积极地投资自己的客户（比如 CoreWeave、Lambda Labs、Mistral AI 等），这些初创云厂商拿到融资后，反手就砸几十亿美元订单购买英伟达的 GPU；更有甚者，英伟达还通过某种形式为这些客户的算力债务提供信用担保或订单绑定。
有人说这是史上最完美的资本生态闭环，有人说是极度危险的虚假繁荣。你问我怎么看？
说句实在话，作为一个在场内经历过几轮牛熊的交易者，我第一次看到这个模式时，脊背是发凉的——因为这跟 1999 年电信泡沫时期思科（Cisco）玩残了的“供应商融资（Vendor Financing）”简直如出一辙。
先说我的明确观点：短期内，这是英伟达挤压竞争对手、锁定算力霸权的无敌护城河；但中长期来看，如果底层 AI 应用的变现速度（Real Revenue）跟不上芯片狂热的资本开支（Capex），这就是一颗核弹级别的结构性风险雷积。
为什么这么说？我们可以把这个闭环的内部逻辑拆开看看：
第一，这个“资本飞轮”极其依赖终端应用产生真实法币现金流。
英伟达左手投资客户，右手收回 GPU 货款，看似营收暴涨、毛利率飙到 70%+。但这些云厂商买回去的芯片，最终要靠 AI 初创公司和企业客户租用算力来买单。如果 OpenAI、Anthropic 们烧了几百亿美元，造出来的模型变现能力达不到预期，算力租赁需求一旦断崖式下跌，这个闭环就会瞬间从“正反馈飞轮”变成“负反馈螺旋”。
第二，历史总是押着相似的韵脚。
2000 年互联网泡沫前夕，思科也是靠着给电信运营商提供巨额融资担保，让运营商疯狂买自己的路由器，创造了营收神话。但当终端互联网流量变现落空、运营商纷纷破产时，思科不仅几十亿坏账无法收回，还遭遇了长达数年的去库存噩梦，股价一夜蒸发近 90%。现在的英伟达现金流确实比当年的思科充沛得多，但“左手借钱给客户买自己右手产品”的风险传染链条是没有变的。
第三，这个风险已经在向 Web3 算力赛道延伸。
场内不少 DePIN 和 AI 算力代币，本质上就是这个供应链融资最底层的次级衍生品——买几台英伟达算力服务器，挂个去中心化算力租用的头衔发币。一旦顶层英伟达与 Neo-Cloud 的算力供需失衡，底层这些没有真实付费用户的算力概念项目会第一批被挤爆流动性。
你们觉得英伟达这个闭环能维持多久？美股科技股的这波 Capex 狂热会在哪个节点遇到变现天花板？欢迎在评论区交流。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.
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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.
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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 永续合约维持负费率并伴随持仓量增长，核心矛盾在于衍生品平空动能强劲与现货高 FDV 承接力不足的错配。
价格突破 $4.19 创出 24 小时高点，$41.67 亿的 FDV 与 3.09 亿的流通供应形成明显流动性结构撕裂。衍生品市场持仓量上升至 $1349 万，伴随 -0.08% 至 -0.05% 的持续负费率，证实空头止损平仓是推动 24 小时上涨 22% 的直接流动性来源。
衍生品市场的清算链条在驱动因素中排在首位，负费率逼迫空头平仓转化为买盘；回购销毁机制与 AI 概念吸引的现货资金排在第二位，为突破提供初始流动性。
上行剧本需要永续持仓量继续突破 $1349 万，同时资金费率维持在 -0.05% 以下的较深负值，推动价格有效站稳 $4.20。若资金费率快速向零轴收窄，被动逼空买盘将失去支撑。
下行剧本在 $4.20 高位遭遇大额现货抛压且费率归零时触发。由于总供应量 10 亿中仅有约 30.9% 处于流通状态，一旦衍生品平空动力中断，缺乏现货承接易引发向 24 小时开盘价 $3.44 的深度回踩。
当持仓量出现大幅下行且资金费率转为正值时，轧空驱动力的基准假设即告失效，市场将重回现货供需博弈阶段。
未来 24 小时最需要观察的变量是 $1349 万持仓量能否持续扩大，以及资金费率是否发生急剧收窄。
#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交易所也跑跑跑跑了。2014年门头沟倒闭。直接比特币崩盘了。2017年。聚币出海。币安崛起。聚币倒闭。后面的ju币老板换了一个又一个。全部都是咋骗。之前ftt倒闭。后面才有了默克尔树资产证明。aax,中币，A网上一波都倒闭了。fcoin这个曾经的交易及挖矿，曾经世界第一也倒闭了。没有什么是不能倒闭的。没有交易所是不能倒闭的。这波已经挂了很多交易所了。聚币跑路维权。所有的交易所都有倒闭的可能性。1011事件。就是币安出现了bug。所有的做市商都不挂单了。都不去做市。市场出现了真空。行情可以一下子掉一去。也可以一下子上天。而当时币安买单和一系列质押出现bug。这就导致行情直接暴跌。做市商没有风控也是会直接被吃掉的。币安在2020年也被黑。没有任何已经交易所是绝对的安全。分散筹码确实是在分散风险CZ: "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 is just an air coin. It's so hard for OKEx to list a new coin, but it turns out to be just a story about an air concept—something about AI payments, something about connecting to international malls. Forget it, they're all air coins that can't be realized. This kind of payment was already done by wallets before, a played-out thing. This kind of common project isn't novel. In earlier years, wallet projects even had crypto bank cards, on-chain payments, off-chain collections, with more features than this supposedly realized one. None succeeded, and all failed the same way.The 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 завершает июль на сильной ноте.
Но дальше начинается сезон, к которому я бы относилась осторожнее.
Исторически август и сентябрь часто проходят медленнее:
меньше объёмов,
ниже ликвидность,
меньше сильных импульсов.
А настоящая активность обычно начинает возвращаться уже в октябре.
Поэтому я бы не стала удивляться, если после сильного июля рынок сначала решит немного охладиться.
Иногда лучший ход — не торговать каждое движение. 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 $161 million in revenue in Q1 — the highest of any DeFi protocol.
The old exchange model was a workaround for broken infrastructure.
Now the infrastructure is getting better.
And when the rails improve, the middlemen start getting squeezed. 🚨
#DailyOrbit 兄弟们！不对劲，非常不对劲！
这波我要空。
以太$ETH 的盘面看着生机盎然。但流动性分布却揭秘了一个更加严苛的事实。
动态群一边唱多一边唱空，分布了两个极端。
你们看这盘口，从1.965一路排下来几十个档位全是挂单，密密麻麻跟钢筋笼子一样。
但总挂单量不足25个ETH，几万美元就能把价格推上去或者砸下来，这种浅盘口意味着庄家随便一笔单子就能画K线，全是虚的。
我翻了半天群聊，发现几个关键信号：
第一，机构在跑。以太坊现货ETF本周净流出1.61亿美元，连续4周净流出，贝莱德7月24日单日就撤了5280万美元。
机构都在兑现离场，散户还在往里冲，这不就是接盘？
第二，散户和机构高度一致看多。数据显示散户70.6%做多，顶级交易者67.1%做多。
搬了十年砖，我最懂一个道理——工地上所有人都觉得今天能提前下班的时候，往往就是要加班到十二点的时候。
币圈也一样，所有人一致看多，往往就是反向行情要来的信号。
第三，技术面空头信号已经出来了。
4小时MACD死叉延续，柱状图还在零轴下方扩张。
1小时RSI虽然到了39接近超卖，但超卖不等于止跌，没有买盘配合的弱势超卖，反而容易继续阴跌。
第四，宏观也不支持。美联储7月加息概率36.3%，9月加息概率55.2%，美债收益率高位压制风险资产，美股科技巨头刚遭遇一轮抛售。
大环境都不支持ETH继续往上冲。
我不否认ETH长期有价值，Vitalik刚发布了"Lean Ethereum"路线图，未来三到四年要重构图谱。
但那是长期的事，短期该回调还是要回调。
这一单，我选空。搬砖人什么都不硬头最硬，信自己，干！
$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 US market opened, SanDisk rose over 4%. The year-to-date increase reached as high as 505.17%. The pre-market price was approximately $1,436.56. Background Analysis Last Friday (July 24), storage chip stocks experienced a sharp sell-off, with SanDisk plunging more than 10%. The pre-market rebound on July 27 is a technical recovery reversing last Friday's collective steep decline. Drivers of the rise include: the US and Iran pausing mutual attacks, a sharp drop in oil prices improving risk appetite; China's DRAM giant ChangXin Memory Technologies soaring 465.82% on its first day of listing, boosting market reassessment of DRAM market conditions and AI storage demand, with related sentiment spilling over to US storage stocks; South Korea's storage leaders (Samsung, SK Hynix) reaching a $950 billion semiconductor cooperation deal with US tech giants. On the storage industry fundamentals, TrendForce data shows that the contract price for server DRAM in Q3 2026 is expected to increase 13%–18% compared to Q2. Tianfeng Securities points out that the current improvement in storage market conditions results from a combination of changes in demand structure, more rational supply expansion, and inventory cycle recovery across the industry chain. Summary: SanDisk shows a strong pre-market rebound but caution is advised regarding the technical nature of the rebound following last Friday's plunge and the debate over whether the storage industry cycle is nearing its peak. ② SK Hynix (US ADR: SKHY.US) Pre-market Performance On July 27, before the US market opened, SK Hynix rose nearly 6%. The pre-market price was about $154.57. The year-to-date increase is approximately 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.This week, the main narrative of the Bitcoin ecosystem is actually tugging along two parallel lines: on one side is the consensus rule dispute triggered by BIP-110, and on the other is the accelerated rollout of financial instruments in the Alkanes ecosystem. The controversy over BIP-110 is no longer just a technical discussion, but has risen to a debate over whether to write spam transaction filtering into the consensus layer. MicroStrategy founder Saylor and early contributor Adam3us publicly opposed it, while developers Murchandamus and Peter Todd repeatedly pointed out implementation vulnerabilities, and the miner guide released by Foundry, the world's largest hash pool, showed support remains below 1%. This figure shows that major funds and miners currently do not intend to make this proposal gain real momentum, but the controversy itself has already heightened market sensitivity to "rule changes." 🧐
On the other hand, the pace of the Alkanes ecosystem is noticeably faster. SUBFROST's P2P lending is now live, allowing users to customize amounts, interest rates, and terms, completely bypassing liquidity pools and oracles. Soon after, the frUSD stablecoin solution began to warm up, with plans to support BTC L1 settlements with USDT and USDC liquidity. During the same period, FIRE's deposits reached $12.1 million, indicating that the capital momentum has not cooled. Developer BitBragi's Aries tool fills the gap in AI-assisted contract development, while CheekyB's one-click Mint+Swap makes it possible to mint DIESEL and then switch directly to CKB, further lowering the entry barrier. Taco Clicker stopped producing new TORTILLA two weeks later, making way for LP mining. These moves all indicate that Alkanes is moving from concept to actionable financial infrastructure. 🔥
UniSat and ◉RD continue to expand entry points and liquidity. UniSat fixed the risk of misfire in Runes and Alkanes hybrid UTXO, and enabled InSwap S4 with a maximum reward of 45,000 FB, with direct support for SUBFROST on mobile devices. ◉ On the RD side, OMB BlueEye was traded at 0.42 BTC, batch LOT quotes and Ordinals donation portals launched, and daily mining on Ord Hub allowed trading and points gameplay to run in parallel. The Bitcoin asset marketplace RareBtcAssets has also launched non-custodial trading, supporting Ordinals, Counterparty, and Stamps swaps. At the underlying level, Bitcoin Core reissued v29.4 and v30.3 to fix key issues. Nine institutions including Strategy, BlackRock, and Coinbase formed a security alliance investing $15 million in quantum-resistant research. Drivechain announced eCash's hard fork on August 23, and the BIP-361 quantum-resistant migration prototype appeared. The Lightning Network Wavelength beta enabled AI Agents to integrate non-custodial BTC payments, and a privacy dark pool prototype made its debut. Finally, Poolin, a mining pool that once accounted for 18% of the network's hash rate, filed for Chapter 11 bankruptcy with debts of $173 million. Old mining debts were uncovered, but the market did not fluctuate as a result. 💥
Overall, this week isn't particularly hot, but everything that needs to be moved is moving. The BIP-110 controversy has yet to pose a substantial threat, while Alkanes' lending, stablecoins, and AI tools are gradually solidifying the financial layer of the BTC ecosystem. UniSat and ◉RD continue to expand their entry points, while quantum-resistant and privacy tools are also catching up. The narrative on this chain is shifting from "hyping concepts" to "building infrastructure." 🚀
#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 CapI am still in the process of understanding Walsh. After some thought over the weekend, I believe there is a high probability of a rate hike this time.
1. To establish personal credibility
2. To demonstrate an independent Federal Reserve
3. To pay tribute to Greenspan (the market won't know what we're thinking)
The downside is that the market currently prices in only a 35% chance of a rate hike, including the belief that this will make the market fully trust Walsh's determination to reform.
So if the market rebounds on Monday or Tuesday, I think the risk on Wednesday should be taken into account. You can reduce positions proactively or passively. The Federal Reserve's impact is comprehensive, for example on the S&P. There's no need to short or liquidate everything; we are not entering a rate hike cycle, and AI is still moving forward. #长鑫科技上市，全球存储竞争添变量 $BTC #长鑫科技上市，全球存储竞争添变量
最近科技圈最大事件，长鑫科技正式登陆科创板。作为国内唯一实现DRAM自主量产、全球第四大内存厂商，这次上市不只是一家企业融资扩产，直接改写全球存储芯片长期寡头格局，同时这条产业链变化，会间接传导到加密市场，今天币哥把底层逻辑讲透。
一、产业格局发生根本性变化
过去DRAM市场长期是三星、SK海力士、美光三家垄断。
三大巨头掌控绝大多数产能，熟练利用周期调节供给：行情低谷减产扛亏损，AI风口优先把先进产能倾斜给高利润HBM，挤压通用DDR产能，人为制造供需紧张，推高存储价格收割红利。
长鑫募资数百亿资金，重点投向产能扩建、DDR5迭代，远期冲击HBM高端存储。
简单一句话：市场从三足鼎立，变成四强竞争。
中长期两大改变：
1、海外三家再也不能随心所欲控产抬价，通用存储的涨价周期天花板被压低；
2、国产存储持续放量，算力硬件供应链多元化，降低全球科技企业单一供应链风险。
但是客观认清现实：短期长鑫产能、HBM技术和韩美巨头仍有差距，增量产能大规模释放至少需要1～2年，短期不会立刻打破当下存储紧缺行情，影响属于中长期变量。
二、利好与利空拆分
✅利好方向
1、AI算力长期需求逻辑不变。AI服务器对内存需求是传统服务器数倍，HBM依旧供不应求，存储赛道景气大方向没有反转；
2、全球算力供应链自主化预期升温，市场继续押注算力硬件长期资本开支；
3、国产半导体扩产带动上游设备、材料产业链预期升温，科技板块风险偏好获得支撑。
❌潜在利空
1、资金开始提前定价远期产能过剩预期。市场担忧2027—2028年多家存储新增产能集中落地，本轮存储超级周期见顶；
2、海外存储巨头估值承压，容易带动美股半导体板块震荡，间接压制风险资产情绪；
3、市场会区分：通用存储内卷加剧，高端HBM依旧紧缺，赛道内部会出现明显分化。
三、重点：如何传导到比特币盘面
很多人觉得芯片新闻和BTC无关，其实资金风险偏好是互通的。
1. 正向传导情景
市场解读为算力产业链长期扩容、全球科技资本开支持续上行，成长赛道情绪回暖，资金风险偏好提升，有利于比特币震荡向上试探压力位。
2. 负向传导情景
资金放大“远期产能过剩”担忧，美股存储、半导体板块承压下跌，引发科技成长股集体回调，避险情绪阶段性抬头，带动BTC同步承压回落。
币哥关键观点：这属于中长期产业叙事，不会造成BTC单边暴涨暴跌，只能加剧短期震荡插针，难以改变原有大区间结构。
四、比特币短线实操思路
当前BTC依旧维持区间震荡格局，核心支撑、压力不变。
支撑区间：64600—64000
压力区间：66000—66800
1、现货伙伴：不要依靠这条消息追涨。震荡行情，回落支撑分批低吸，靠近上方压力不追高，长线底仓继续持有，减少频繁交易消耗手续费；
2、合约玩家：消息面容易引发短线快速波动，杜绝重仓单边赌方向。区间内高抛低吸为主，有效突破压力再顺势看多；有效跌破支撑顺势看回调，严格控制杠杆、不扛单；
3、重点观察联动信号：美股存储、半导体板块走势，如果持续走弱，就要警惕风险资产集体回调风险🚨 Big Tech earnings sent a clear message: strong results alone aren't enough anymore.
Alphabet reported an impressive quarter, generating $119.8B in Q2 revenue with continued strength from Google Cloud. Even so, $GOOGL slipped more than 4% after hours.
The market wasn't disappointed by the numbers—it was focused on what comes next.
Alphabet increased its 2026 capital expenditure forecast to $195B–$205B, while free cash flow weakened. Investors are becoming more selective, weighing not only AI growth but also the cost of sustaining it.
Across Google, Microsoft, Meta, and Amazon, projected capital spending for 2026 is expected to reach roughly $725B, highlighting how aggressively the AI race is accelerating.
Meanwhile, Tesla took a different approach.
The company continues to hold 11,509 BTC, maintaining the same position it has held since 2022. Despite recording a quarterly loss related to Bitcoin's previous decline, Tesla neither increased nor reduced its holdings.
Why this matters for crypto:
🔹 Spot Bitcoin ETFs continue attracting institutional demand.
🔹 Crypto remains closely tied to the performance of major technology stocks, making earnings guidance increasingly important for digital asset sentiment.
🔹 Upcoming reports from Microsoft, Meta, and Amazon could influence both equity and crypto markets.
One key difference is that crypto markets never close.
With tokenized US equities available for 24/7 trading on supported platforms, traders can continue reacting to earnings and macro developments even when traditional stock exchanges are closed.
The next round of Big Tech guidance may play a bigger role in market direction than the earnings headlines themselves.
#CXMTMemoryIPO #FOMCRateWatch #DailyOrbit Recently, Changxin Technology surged on its first day of listing, sparking renewed market attention on the domestic storage industry chain.
The storage chip sector has long been a crucial part of global semiconductor competition.
On one hand, the demand for AI computing power continues to grow, placing higher requirements on high-performance storage and data processing capabilities;
On the other hand, the domestic storage industry is steadily advancing, and the market is beginning to reassess the development potential of the domestic semiconductor industry chain.
The overseas market is also paying attention to this main theme.
In the US stock market, storage-related companies like Micron (MU) and SK Hynix have recently attracted continuous capital interest, as the global storage industry undergoes a new cycle of change.
For players who follow both tech stocks and the crypto market, cross-market observation is increasingly necessary.
Because often, capital flows do not stay confined to a single market.
AI, semiconductors, computing power, on-chain infrastructure—these areas all reflect the market’s expectations for the future digital economy.
Lately, when watching these tech trends, I tend to observe them together on AVE.
Besides on-chain assets, AVE also helps track popular tech sectors and market trends without the need to switch repeatedly between multiple tools.
Observing industry chain targets like Changxin Technology’s listing, Micron (MU), and SK Hynix together makes it easier to understand where capital is focusing.
In the future AI era, computing power is just the foundation; storage is also a key link.
Do you think storage will become the next major theme after computing power in the upcoming tech cycle?
#长鑫科技 #存储芯片 #半导体 #AI$382K of $IMX just landed on Binance and Gate in the last hour. price hasn't blinked, still flat over 4h, still flat on the day.
almost all of it came from one wallet, 0x8ce8…cdde, dropping $380K straight onto Gate. that's not a hundred small deposits, that's one player moving real size.
coins on exchanges can get sold, doesn't mean they will. could be OTC, could be a market maker repositioning. chart's dead quiet right now so whatever this is, the market hasn't priced it in yet.
go trace that wallet yourself, it's sitting right there in the thread.$23.9M of $LINK came off exchanges this week across 12 venues while price just sat there, +4.7%. size like that usually shows on the chart. it didn't.
traced it: a wallet dormant for 5 months, funded by Binance 160d ago, just pulled $10.8M off Binance. we've seen it move before, a smaller $1.7M withdrawal in July that barely moved price either. separately, Wintermute pulled $6.6M off Binance too, also with a smaller prior withdrawal on record.
two different players, same direction, same silence from the chart. accumulation until proven otherwise. NFA 👀#财报观察员：Can Microsoft, Meta, and Amazon stabilize the AI narrative?
Brothers, this week is the real big test.
Google and Tesla already reported last week: one had explosive cloud business but scary capital expenditures, the other hit delivery highs but profits collapsed. The market reaction was direct—two earnings beats, two after-hours plunges.
This week, three even tougher players take the stage.
Microsoft, Meta, and Amazon report Wednesday and Thursday. Their combined capital expenditure this year is expected to approach $725 billion. What does $725 billion mean? It’s higher than the GDP of many countries.
Let’s start with Microsoft.
Market expects revenue around $87.6 billion, up 15% year-over-year, with earnings per share of $4.22. Azure cloud growth is the focus, with 39% growth last quarter. But the core focus this quarter isn’t Azure’s growth rate—it’s the gap between capital expenditure and free cash flow.
Last quarter, Microsoft’s capital expenditure was $37.5 billion, and free cash flow shrank significantly. If capital expenditure keeps rising this quarter, even if Azure growth stays high, the market will still sell off. Google’s precedent is clear: revenue beat but capital expenditure raised, stock fell after hours.
However, Microsoft holds a trump card: $627 billion in commercial remaining performance obligations. The money is on the way, just not booked yet. Whether the market buys this "invest first, harvest later" logic depends on the upcoming earnings call.
Next, Meta.
Market expects revenue of $60.1 billion, up 26.6% year-over-year, with earnings per share of $7.13, slightly down year-over-year. High revenue growth but slight profit decline shows AI spending is clearly visible.
In April, Meta raised its full-year capital expenditure guidance from $115 billion–$135 billion to $125 billion–$145 billion. Market expects Q2 capital expenditure around $33.7 billion. The stock has dropped 24% from its 52-week high.
Meta’s logic differs from Microsoft’s. Its AI investment currently relies mainly on ad monetization. Whether the Llama model and AI recommendation algorithms can sustain continuous ad revenue growth is the biggest question this earnings report must answer. The ad engine is still roaring, but whether the new path of selling computing power can succeed is what the market wants to know.
Finally, Amazon.
Market expects revenue of $196.2 billion, up 17% year-over-year, the fastest growth in five years. AWS is the biggest variable; last quarter AWS grew 28%, with an annualized run rate of $150 billion and a record-high 13.1% profit margin.
But Amazon’s capital expenditure is the most aggressive. The full-year target for 2026 is about $200 billion. KeyBanc predicts it will rise to $331 billion and $356 billion in 2027 and 2028 respectively. Full-year free cash flow may turn negative.
Can AWS growth support $200 billion in capital expenditure? This is the biggest point of contention between bulls and bears.
The common problem for all three is one:
The money has been spent, but where is the return?
Microsoft has $627 billion in backlog orders, Amazon has $464 billion in committed orders. The money is on the books but hasn’t turned into profit yet. Meta lacks this "contract-locked" moat; its AI returns depend entirely on whether advertisers are willing to pay for AI-driven conversion rates.
Moody’s has already spoken, saying "unprecedented AI spending is threatening the credit quality of companies like Amazon, Meta, Alphabet." AI buildout is eroding free cash flow and increasing balance sheet risk.
My judgment on this week’s earnings is simple.
The numbers themselves won’t be bad. The fundamentals of these three companies are solid, and revenue beats are highly probable. But the market isn’t focused on revenue now; it’s watching the pace of capital expenditure growth and the direction of free cash flow.
If any of these three dare to raise capital expenditure guidance at this critical moment, no matter how good the earnings look, the stock will get hammered. If anyone dares to provide a clear timeline for AI investment returns, the market will actually respond positively.
This week’s tech earnings are dense. If Microsoft, Meta, and Amazon all beat expectations and keep capital expenditure under control, risk appetite will rise, and BTC has a chance to move up. If earnings trigger a new round of AI sell-off, BTC will struggle to stay unscathed.
In terms of trading, if you’re short, don’t rush to reverse; wait for a pullback confirmation. If you have no position, don’t chase—let the market move a bit more first.
What do you think about these three earnings this week?
$BTC $ETH $SHIB