Orbit Post Sitemap
#美军暂停对伊空袭, negotiations on the opening of the strait made progress
The situation in the Middle East has slightly eased from previous blows, as previously described
The U.S. military has deployed fewer than 10,000 troops in the Middle East, making full-scale ground warfare unlikely. Additionally, it has the potential to seize port strength, as it currently stands
Two carrier strike groups are carrying out the blockade in Middle Eastern waters
Originally, there were two amphibious landing ships: one was the Boxer, still in deployment, and the other was set to leave the Middle East for East Asia
It might be a time to rest, but in some respects, it has been downgraded
$BTC $ETH These two major mainstream coins also saw increases
With the midterm elections approaching, efforts are made to better mitigate the impact of the Middle East situation
With the midterm elections approaching, there may be hope for a "temporary" agreement. A long-term agreement is somewhat difficult to reach, with a short duration and significant differences. Judging from previous Iran nuclear deals, it is by no means a long-term agreement can be reached in a short time
The Israeli Prime Minister's visit to the United States may require a faster resolution to the "current" Middle East conflict, requiring an agreement between the U.S. and Israel
If consensus can be reached and the market warms up, BTC ETH is expected to challenge 82,000, with 2,400 serving as the previous resistance level
In addition, Buffett's warning is also noteworthy: the total market capitalization of U.S. stocks accounts for 234% of U.S. GDP, posing high valuation risks 🤔
@OKX Planet @Yanyan Eleven_OKX @Mini Minnie_OKX Crypto is about to witness a massive bull cycle. The simple reason for this is the breakout of the business cycle. Copper vs. Gold has been in a downtrend for four years and that's been the exact reason why #Altcoins haven't taken off at all. Now, as Copper vs. Gold have seen the breakout upwards, it's a matter of time until the markets will move in the same direction. How long does that take? Usually it takes between 2-5 months before the markets are going to follow. As the bottom of Copper vs.Trump reported $1.4B+ in crypto income for 2025.
Breakdown from his financial disclosure:
$635M — $TRUMP meme coin sales
$770M— World Liberty Financial
$520M from token sales
$250M from selling business interests
That’s a 9x jump from last year. Crypto is now his largest source of income.
Meanwhile the Senate can’t move the CLARITY Act.
Democrats argue you can’t have a president regulating crypto while making $1B+ from it.
Republicans argue the bill shouldn’t be written around one person.
The current draft would ban sitting officials from issuing or sponsoring new digital assets.
But it doesn’t fully address family-run projects.
Conflict or not — this is why ethics is holding up the biggest crypto bill in years.
NFA. DYOR. Watch the disclosures, not just the charts.
#EarningsRealityCheck #CLARITYActStalled #USIranStrikePause #EarningsRealityCheck #CLARITYActStalled #USIranStrikePause $dexe 这次暴跌，核心要从前面那轮离谱上涨说起。
它从2美元附近一路拉到49美元，涨了二十多倍，现货流通盘又小。上涨期间大量资金追进合约，多头仓位越积越多，价格看着很强，下面却没有足够现货买盘承接。
Ceffu托管着接近80万枚DEXE。借助MirrorX，相关账户不用先把代币转到交易所，也能提前获得对应交易额度。所以砸盘可能已经开始，链上当时还看不到大额转账。
卖盘把价格推下去后，高杠杆多单开始爆仓。爆仓产生新的市价卖单，继续击穿下一批多单，最后形成“现货卖出—多单清算—价格继续下跌”的连锁反应。DEXE盘口又薄，几十万美元就能打穿一层，近80万枚的潜在卖出额度足够摧毁当时的承接。
7月21日暴跌后，Ceffu先转2枚测试，再转24,998枚，随后一次转出719,726枚。这批链上转账更像此前交易的补充结算，所以大家看到大额转账时，价格已经跌完大半。
我的判断是：这次并非普通获利盘离场，更像某个掌握大量托管DEXE的机构先在高位减仓或做空，主动打穿多头仓位，再由连环清算扩大跌幅。Falcon和DWF有渠道、有资产来源，也有使用Ceffu的条件，因此嫌疑最高；只是链上无法显示Ceffu内部客户名称，目前还不能把操作者百分百写死。
一句话概括：前期控盘拉高吸引合约多头，托管资产通过MirrorX提前进入交易账户，卖盘击穿价格后引爆多头清算，最后再用链上DEXE完成结算。Big Tech's earnings delivered the reality check the AI trade has been dodging. Alphabet and Tesla both reported, and both stocks sank, not on weak results (Google Cloud grew 82%) but on rising AI capex guidance. The market has flipped: spending on AI used to be rewarded as vision, now it's scrutinized as cost.
This is the same story that hit semis all week, viewed from the demand side. Investors aren't questioning whether AI is real; they're questioning the return on hundreds of billions in capex before the revenue catches up. For crypto it's a useful mirror: narratives get repriced the moment the market demands proof over promise. Risk-off today (BTC $64K) echoes that same "show me the ROI" mood bleeding across tech.
Just my read, not advice.
#USIranStrikePause #OpenWeightSupport OKXOrbit🚨 Two mega-cap earnings. One clear message: the market is looking beyond headline beats.
Alphabet posted a strong quarter with $119.8B in Q2 revenue, while Google Cloud continued to deliver impressive growth. Yet $GOOGL fell more than 4% after hours.
Why? Investors cared more about the outlook than the quarter itself.
Alphabet raised its 2026 capex guidance to $195B–$205B, up from $180B–$190B, while free cash flow turned negative. AI remains a compelling long-term growth story, but Wall Street is becoming increasingly focused on the cost of financing that growth.
Meanwhile, Google, Microsoft, Meta, and Amazon are expected to spend a combined $725B on capex in 2026—roughly 77% higher than last year.
The takeaway: markets are rewarding more than earnings beats. Forward guidance, cash flow, and AI spending discipline now matter just as much.
Tesla told a different story.
The company still holds 11,509 $BTC , unchanged since 2022. Despite recording a $112M quarterly Bitcoin-related loss, Tesla neither added to nor reduced its position.
No panic. No accumulation. Just HODL.
📊 Why this matters for crypto:
• $BTC continues to benefit from steady ETF inflows.
• Crypto remains closely tied to the Nasdaq 100, making Big Tech earnings an increasingly important macro driver.
• Upcoming reports from Microsoft, Meta, and Amazon could influence both equity and crypto sentiment through their guidance.
One key advantage for crypto traders: while U.S. stock markets close after hours, crypto trades 24/7.
With OKX tokenized U.S. stocks settled in $USDT, assets like $XGOOGL and $XTSLA remain tradable through earnings releases and weekends.
👀 Will the next wave of Big Tech earnings strengthen—or weaken—crypto sentiment?
#EarningsRealityCheck #CLARITYActStalled 价格新高下的流动性背离：市场并非普涨，而是资金在高度集中
市场表面看似强势，但真实定价与资金分布之间是否存在明显裂痕？
事实层面，原文指出价格虽创下更高点位，但流动性并未同步扩散。未平仓合约在近期出现重置，交易量仍处高位，说明交易行为正从追逐每一波突破转向极端选择性。资金并未均匀流向整个加密市场，而是集中于少数资产，如JELLYJELLY、OPG、SLX、LAB、BSB、ALLO、CHIP、MEME、EDEN、HUMA、ZKP、METIS；同时，BEAT、EDGE、COAI、TRUMP、RAVE、SPACE、SOPH、IP、AVNT、ZAMA、OFC、PIEVERSE、VIRTUAL、ACU、H、MEGA等代币流动性持续流失。
市场结构变化：BTC仍是流动性中枢，ETH代表机构资本风向，SOL作为高贝塔领头羊，DATA映射AI基础设施敞口，WLD承载AI身份叙事，HYPE衡量投机欲望，ZEC与DOGE则反映散户参与度。这种分层定价表明，资金正从广泛的山寨市场回撤，集中押注于少数有明确叙事或流动性支撑的标的。
传导逻辑：当BTC和ETH维持高位但未拉动多数山寨时，意味着增量资金并非来自散户涌入或被动配置，而是存量投机资本在主动筛选。这会导致流动性进一步向头部资产倾斜，山寨的弱势参与反过来抑制风险偏好，形成负反馈。
偏多路径：如果BTC/ETH能持续站稳并放量突破，可能吸引被动配置资金回流，带动流动性从集中区向边缘扩散，重新激活山寨市场。条件是宏观环境稳定，且BTC未出现持仓集中度风险。
偏空风险：流动性持续收缩而价格虚高，一旦BTC或ETH出现回调，集中持仓的资产可能面临踩踏，导致山寨市场加速失血。失效条件包括未平仓合约快速膨胀或交易所存量BTC大幅流入。
结论：当前价格新高更多反映资金集中而非真实需求扩散，弱势参与比弱势价格更值得警惕。风险在于流动性假象下的结构脆弱性。
$BTC $ETH $SOL$BTC
I did my best to explain my thesis on all of these important questions that almost no one is talking about.
No one is talking about Bitcoin’s trend angles.
Throughout its entire history, Bitcoin has consistently respected its long-term trend angles. With every market cycle, those trend angles have continued to decrease, and they have now reached a point where making new all-time highs is becoming increasingly difficult.
Everyone tells you that every Bitcoin bear market lasts exactly one year. But history tells a different story.
Out of Bitcoin’s four major market cycles, only the last two bear markets lasted around one year.
First bear market: 154 days
Second bear market (2013–2015): approximately 630 days
Third and fourth bear markets: around one year
Yet almost everyone continues to copy the post-2018 pattern and claims there are only 1–5–2 months left in the bear market, while completely ignoring Bitcoin’s earlier history.
Before 2018, Bitcoin had two bear markets that did not last one year—they lasted 154 days and approximately 630 days.
At the same time, most people tell you not to look for the bottom. Instead, they recommend buying randomly from now through the next 1–5–2 months, assuming history must repeat exactly as it did after 2018, while ignoring the rest of Bitcoin’s market history.🚨 NVIDIA CEO Jensen Huang says:
«"No chip bust for a while."
"This time is different."»
He believes the semiconductor industry still has room to grow 5–10x.
But here's what stands out:
- Meta: 21% of NVIDIA's revenue
- OpenAI / Oracle: 17%
- xAI: 16%
Just three customers account for 54% of NVIDIA's total revenue.
Meanwhile:
- 2026 hyperscaler capex: $785B
- 2027 forecast: Nearly $1T
- TSMC capex: $60–64B
- Intel capex: $20B
- U.S. chip factory utilization: 72.2%
The AI boom is being fueled by massive spending from a relatively small group of companies.
If even one of those major buyers meaningfully slows its AI infrastructure investment, the industry's growth outlook could change much faster than many expect.
The key risk isn't that spending stops—it's that capex growth slows.
That's what the market will be watching.
#EarningsRealityCheck #CLARITYActStalled $SHIB SHIB suddenly pulled up—is it about to take off, or is it just another scam?
SHIB's volatility today was quite insignificant, with its price rising over 20% at one point and a noticeable increase in 24-hour trading volume. On the surface, it seems like a sudden start, but after looking around, I didn't find any super positive news that could completely change the project's fundamentals.
This surge seems more like several factors coming together.
Recently, some whales have repurchased SHIB, while SHIB balances on exchanges continue to decline. Simply put, the coins are moved into on-chain wallets, and in the short term, the amount of chips willing to dump may decrease. Moreover, SHIB's liquidity is not as deep as Bitcoin's, so whenever funds suddenly flow in, the price can be quickly pushed up.
But I think people shouldn't start fantasizing about "removing two zeros immediately" just because SHIB goes up.
SHIB's current circulating supply is still close to 589 trillion, which is simply too large. Although the project has been burning for a long time, the amount burned in the past 30 days is still very limited compared to the overall supply, making it difficult to drive long-term price increases through burning alone.
Shibarium is still running, and its ecosystem hasn't completely gone flat. However, on-chain activity has been unstable recently, with daily trading volume even dropping noticeably not long ago. This shows that SHIB's strongest driving force is still not the app explosion, but community sentiment, whale movements, and MEME rallies.
So my view on this wave is very straightforward:
You can see this as a signal of SHIB's reactivation, but you can't immediately assume a major rally has arrived.
What really matters is not how much it rose in a single day, but whether trading volume can be maintained, whether funds will continue to flow out of exchanges, and whether there is heavy selling after prices rise.
These coins do surge rapidly, but when they turn around, they never say goodbye.
Do you think SHIB is truly starting this time, or is it just a rally to keep tying people in?🚀 $HYPE — LONG Setup 📈
Trade Bias: LONG ✅
📍 Entry Zone: 59.1 – 59.6
🎯 Take Profit Targets:
• TP1: 60.5
• TP2: 62.0
• TP3: 64.0
🛑 Stop Loss: 58.2
⚠️ Risk Level: Medium
📊 Technical Outlook:
$HYPE continues to show strong bullish momentum after a $6.177K short liquidation around 59.418, adding fuel to the recent upside move.
Buyers remain in control, with price holding above key support and momentum favoring further gains as long as the breakout zone remains intact.
🔹 A sustained hold above the entry zone keeps the bullish outlook valid.
🔹 A break above 60.5 could accelerate momentum toward the higher targets.
Stay disciplined, manage your risk, and wait for confirmation before adding exposure.
Not financial advice. Always do your own research.
Let's go $HYPE! 🔥
#EarningsRealityCheck #CLARITYActStalled #USIranStrikePause
$BTC $ETH $DOGE 🚨 Two mega-cap earnings reports. One takeaway: markets are looking beyond headline beats.
Alphabet delivered a strong quarter, reporting $119.8B in Q2 revenue, while Google Cloud continued to post robust growth. Yet $GOOGL fell more than 4% after hours.
Why? Investors focused on the outlook rather than the results.
Alphabet raised its 2026 capex guidance to $195B–$205B, up from $180B–$190B, while free cash flow slipped into negative territory. AI remains a powerful growth story, but Wall Street is becoming increasingly concerned about the cost of funding it.
Google, Microsoft, Meta, and Amazon are now expected to spend a combined $725B on capex in 2026 ,around 77% more than last year.
The market is rewarding more than earnings beats. Forward guidance, cash flow, and AI spending are becoming just as important.
Tesla told a different story.
The company still holds 11,509 BTC, unchanged since 2022. Despite reporting a $112M quarterly loss tied to Bitcoin's earlier decline, Tesla neither sold nor added to its position.
No panic. No accumulation. Just HODL.
📊 Why this matters for crypto:
• $BTC continues to benefit from steady ETF inflows.
• Crypto remains closely correlated with the Nasdaq 100, making Big Tech earnings increasingly influential.
• Upcoming results from Microsoft, Meta, and Amazon could shape both equity and crypto sentiment through their guidance.
One advantage for crypto traders: while US stock markets close after hours, crypto never sleeps.
With OKX tokenised US stocks trading 24/7 in $USDT , assets like $XGOOGL and $XTSLA remain tradable through earnings releases and weekends.
👀 Will the next wave of Big Tech earnings strengthen or weaken crypto sentiment?
#EarningsRealityCheck #KoreaAIChipPush BSB on-chain data shows that 90% of the tokens are distributed across 8 whale addresses, showing a high concentration! The funding rate has been falling all along, yet the funding rate has always been bought by the bulls, rewarding the bears. This is suspected of whale manipulation and short-selling of the market, feeding retail investors on funding rates. When bulls encounter market-poor market players, they just accept their bad luck!On one hand, the entire sector pulled back, while on the other, it aggressively expanded production, resulting in a completely polarized market segment in the AI chip sector
Currently, the market is showing two stark contrasts: on one side, individual stocks across sectors are collectively experiencing a downturn; on the other, leading global tech companies continue to invest in computing power and storage capacity regardless of cost. These two completely contradictory market behaviors coexist, concealing deep changes throughout the entire AI hardware industry chain.
Let's first review recent objective market fluctuations, showing that the AI hardware sector has shown clear divergence in this round. Nvidia closed at $206, continuing to operate under pressure below its previous high; Broadcom recorded a single-day drop of 2.7%, while Micron's memory sector saw even greater volatility, dropping 7 percentage points in a single day, with hardware storage stocks collectively weakening.
Macroeconomic variables continue to affect the entire technology sector, and with the FOMC policy meeting scheduled for next week, the market's sensitivity to interest rate changes is already maxed out. Funds have reached a consensus: once the interest rate environment tightens, high-valuation tech companies will be the first to bear the pressure of capital outflows, which is also the core macroeconomic backdrop for the recent pressure on chip and memory sectors.
But beyond short-term market fluctuations, the pace of layout on the physical end of the industry chain has not slowed at all. Leading AI companies continue to have strong demand for computing power, with A-Media and OpenAI continuing to purchase large quantities of computing hardware; Overseas capacity construction is accelerating simultaneously, with NVIDIA's expansion plans for the AI Gigafactory in South Korea continuing to advance, and major storage manufacturers continuously launching new capacity projects.
The competitive landscape of South Korea's domestic industry chain has also undergone new changes. Hynix's previous dominance in the high-end HBM storage track has been broken, and Samsung is accelerating its entry to capture the HBM4 supply chain share. Currently, high-end AI server hardware architectures are continuously being upgraded, with the number of GPUs per device steadily rising. The upgrade in computing power specifications directly drives up demand for high-end HBM storage, with major storage manufacturers vying for supply control in this core incremental segment. #韩国存储双雄获AI双巨头大单
The stark contrast between industrial expansion and the decline in the secondary market is striking. In the short term, market prices and real industry layouts are completely diverging, and this fragmentation is the most noteworthy feature of the current AI hardware sector. The statements at next week's rate meeting will be a key reference for judging the nature of this round of sector adjustments, helping to distinguish whether this decline is a short-term pullback or a dividing line marking the start of a valuation reshaping cycle in high-valuation sectors.
Many people only judge by the daily rise and fall of individual stocks, rarely comprehensively analyzing sector rhythms based on the progress of real industry implementation and macro interest rate cycles. Simply looking at candlesticks can easily be misled by short-term fluctuations, confusing long-term industry growth with short-term fluctuations in the secondary market.
When analyzing the technology sector, do you prioritize secondary market price fluctuations or focus on tracking global manufacturers' capacity and order placements in real industries?TRUMP TEAM JUST MOVED MORE $TRUMP
Trump's team moved 10.84M $TRUMP worth ~$16.91M to BitGo. The next stop is likely exchanges.
This is the third big transfer in the last 5 months.
So far, they have moved 48.25M tokens worth $172.4M.
After every previous transfer, the price went lower.
The token is now down 66%+ over the same period.
$TRUMP is also down more than 90% from its all-time high since President Trump took office, and it continues to trend lower.
This doesn't look like normal treasury management.
It looks like they are selling into the market.In 2026, semiconductors will be dominated by AI computing power, with significant market growth. HBM and advanced packaging are in the shortest supply, mature processes remain in demand, and advanced process iteration is slowing down. The US, Japan, South Korea, and Taiwan control global high-end supply chains, normalizing geopolitical controls. China is focusing on filling gaps in equipment and materials, automotive-grade chips are performing steadily, while traditional consumer electronics chips are weak. In the long term, caution is needed regarding risks of overcapacity and insufficient computing power usage next year. ##韩国存储双雄获AI双巨头大单 ##$SNDK Players familiar with the $SOL community know an unwritten rule: to gauge Solana's overall atmosphere, you can catch a glimpse of BONK by watching closely. Recently, a large number of short-lived new meme users on the chain have quickly faded, with funds shifting back to established meme brands. BONK has taken advantage of this trend to start a rally. Today, let's analyze the underlying logic in detail. First, the underlying background: BONK is a milestone meme born during Solana's downturn. Back when Solana experienced a sharp decline and a large number of users fleeing, the market was pessimistic, and $BONK emerged. It lacks grand technical narratives, relies on community consensus to ignite the entire chain's popularity, and is also Solana's first top-tier meme to break out. Since then, countless meme imitators have emerged one after another. For a long time, BONK has become more than just an ordinary meme—it has become a recognized ecological mood thermometer within the community. As soon as Solana retail trading enthusiasm returns, funds often immediately think of this established token. Considering the current market situation: SOL has recently steadily recovered, driving a revival of trading atmosphere across the entire public chain. Recently, the market has been frantically chasing the endless stream of new meme products, but most new projects have very short lifecycles, quickly stalling after just a few days of gains, causing many players to fall into traps and incur losses. Funds learned from this lesson, began to avoid illiquid new coins, and shifted to established stocks with ample trading depth. BONK saw massive buying and simultaneously surged in rallies. In-depth analysis of the core logic of this round of gains: Currently, it is an internal capital rotation within the sector. The Solana ecosystem is not short of speculative funds, only capitalSIMD-0096 isn't a technical update, but it directly rewrites Solana's economic logic. Previously, half of the priority fee was burned, and half went to validators. What about now? Validators eat half of the burned parts, and losing them sounds like giving miners a chicken leg, right? But looking further down, validators receiving more $SOL liquidity incentives means their willingness to lock up is stronger. Circulating pressure is reduced, and selling pressure naturally decreases. This isn't speculation; it's a slow explosive. Look at the recent $SOL price—it's stuck at a high level but not going down, and trading volume hasn't shrunk. Meme coins like $BONK and $WIF in the ecosystem are even showing signs of a second restart. I think the market is already voting with its feet, waiting for retail investors to react. Most likely, it's another chance to take over. Solana is very smart this time. They turn validators into community of interests. The more congested the network, the higher the fees, and the more validators earn. So what will they do? Buy more $SOL to stake, forming a closed loop—that's the real moat. Sisters, stay steady—don't be scared off by market volatility. On-chain data doesn't lie. Solana's current daily active address count and DEX trading volume have long left other L1s far behind. For those still waiting for $SOL to pull back to 80 or 90 to bottom-fish, I just want to ask: in bear markets, you've dropped to that level before—did you buy? Now that the rules have changed and the economic model has been upgraded, inflationary pressures have even decreased, making you less afraid to get on board? Honestly, I think in this bull market, more than a hundredfold coin $SOL will emerge in the Solana ecosystem$MSFT $GOOG $AMZN $TSLA $META 全部都跌破了50日均线和200日均线。
$NVDA 跌破50日均线但仍高于200日均线。
$AAPL 强势碾压两条移动平均线。
这不是疲软。这是经典的Mag7轮动，正在为下一波上涨铺路。
苹果目前是质量领导者——估值最高自有其道理（生态系统、现金流堡垒、AI潜力）。当Mag7其他成员严重滞后而AAPL保持强势时，历史表明，一旦轮动结束，落后者会猛烈追赶。
我们正在见证与过去两次Mag7大涨完全相同的格局。超卖股 + 一个明确领导者 = 整个群体的火箭燃料。
我所知的唯一方式就是🚀Two days ago, $CORE was hovering around 0.023, looking toward a new all-time low. Today, it suddenly rebounded above 0.028, with a 24-hour gain of +8.9%, and its market cap returned to around $32 million. The market looks lively, but if you compare the candlestick + chain chain, the flavor doesn't quite match. K-line: Rebound Gained, Confidence Still Lacking. In the past two days, CORE has pulled a decent bullish candlestick from its stage low, temporarily regaining the short-term moving average. However, the daily 20/50/200MA remains a standard short range, MACD bars haven't fully closed, and RSI climbed up from 32.5 without a golden cross. Veteran players are familiar with this pattern—the technical corrections in the decline outweigh trend reversals. Two key points to watch: • Volume: During the rebound, trading volume has not significantly expanded, indicating a weak recovery pattern of "some buy at low prices, but no one really buys"; • Resistance: 0.030–0.032 is the previous breakdown level; if it doesn't rise, it means double top preserve. On-chain: The main force is topping up exchanges—this is the real signal. Even more straightforward than candlesticks is on-chain. In the past 48 hours, an address that has been watched for a long time 0x611f... d09d (the market calls it the "core main force") repeatedly deposited millions of CORE tokens on OKEx—this old "withdrawal→pumping → recharging back to exchanges" scenario is obvious to you. Hedging data is another side: Santiment shows whales in the million–tens of millions have net increased holdings by about 420 million in recent weeks, with small retail investors dumping and large players taking over. But be careful—those receiving goods and those depositing exchanges may not be the same group; internal differentiation is a comparison tableWhile others are watching the K-line chips, smart money is "laying pipelines" on the chain
Date: July 27, 2026
Today's market sentiment survey shows that over 70% of retail traders are still chasing AI concept coins and zoo-like meme projects, with long positions accounting for as much as 83% of the total 24-hour liquidation amount in the entire cryptocurrency market. But if you only focus on these, you fall into the trap of the "illusion of flow."
I want to make an unconventional judgment: the last thing you should watch right now is the gainer rankings; What should be watched most now are those infrastructure layers that are so deserted that almost no one pays attention to them.
Let's first look at a set of facts that just refreshed today: the average daily active addresses on Ethereum's Layer 2 network (L2) officially surpassed 6.8 million today, setting a new all-time high. In contrast, the median gas fee on Ethereum mainnet fell to 0.8 Gwei—the lowest level since the end of the 2022 bear market. What does this indicate? This indicates that on-chain activity is truly exploding, but speculative enthusiasm is rapidly fading. Large funds are quietly and patiently completing "turnover": withdrawing from highly volatile assets and moving into underlying protocols that can generate real returns.
Another overlooked data point is that today, the total deposits of global stablecoins (USDC+USDT) in decentralized lending protocols actually increased by $420 million against the trend compared to the same period last week. This is a textbook departure from the bleak secondary market. Retail investors are selling, institutions are holding.
Why am I bringing this up? Because I've seen too many people make the same mistake: scoff at the 5% annualized yield of liquidity mining on perpetual contract DEXs (decentralized exchanges), only to break their thigh after it surged tenfold.
Today, the daily average trading volume of leading decentralized perpetual contract protocols has quietly climbed to 8.7% of the total perpetual contract volume on centralized exchanges (CEX), compared to only 2.1% in the same period in 2025. This is no longer a "geek toy"—it's a real cash migration. South Korean exchange Upbit just updated its asset reserve proof early this morning, showing that its holdings in DeFi blue-chip tokens increased by 217% over the past 30 days. This logic follows its previous listings on Morpho and Euler—the listing departments of mainstream exchanges understand the value of the "underlying asset" better than retail investors.
The current market situation is:
· Where Others Go Crazy: Narrative-driven tokens, with daily turnover rates over 80% and jaw-dropping volatility.
· Places others fear (or completely ignore): interest rate derivatives protocols, decentralized credit scoring protocols, and governance tokens that "have no sexy stories, only stable cash flow."
The favorite tactic of manipulators and smart money is to open positions when liquidity runs dry, and then distribute when liquidity floods. At this point in time, USDT's OTC premium has returned to positive levels, and Korea's premium has nearly dropped to zero—this is precisely the standard characteristic of being "ignored."
You don't need to go all in right now. What you need is: spend three hours today without looking at any market software, just look at the liquidation data, historical fluctuations of funding rates, and the protocol's revenue-sharing mechanisms for three decentralized perpetual contract protocols.
What I regret most isn't missing out on a hundredfold coin, but that when on-chain options protocols first emerged in 2024, I found them complicated and illiquid, and didn't allocate 5% of my position for 'trial and error.' As a result, two years later, the leading agreement in that sector had already paid over 200 weeks of stable dividends.
Remember: what makes you money is never "knowing," but "doing" and "arriving early."
While everyone is crowding the main roads to grab gold, the real winners are already selling shovels and repairing highways. Today, the "concrete" of on-chain finance has only just been fully dried. Are you sure you want to wait until the trucks are fully loaded before chasing after it?
(This article does not constitute any investment advice. The market carries risks, and decisions must be made independently.) ）This is going to be a very interesting week for $BTC .
Over the past 12 months, eight of the last nine FOMC meetings have been followed by a relatively large sell-off.
Across those eight flushes, BTC declined roughly 10% on average over the following week.
During last month’s meeting, price was trading in almost exactly the same region as it is today.
BTC traded around $66K, then dropped roughly 12% to $58K, setting new cycle lows.
The one exception was the previous meeting in May, when BTC produced the opposite reaction and rallied roughly 5%.
So another bearish reaction is not necessarily guaranteed. We have already seen this pattern fail once during the current bear market.
But 8 out of 9 is still not a statistic I am interested in betting against.
If the same reaction plays out again, we’re likely to see a key test of the range lows.
I’m personally watching whether $61K can hold as support.
That level is the gatekeeper between another pullback inside the current range and a potential flush to new lows.
Either way, the reaction we see after this meeting is going to be a good indicator as to whether we see fresh cycle lows again soon.The crypto ETF race is heating up. Several digital assets have already secured spot ETF approval in the US, while a growing list is still waiting for the green light. ✅ Already live in the US (9): $BTC — Jan 2024 $ETH — Jul 2024 $XRP + $DOGE — Sep 2025 $SOL — Oct 2025 $LTC — Nov 2025 $DOT + $AVAX — Mar 2026 $HYPE — May 2026 ⏳ Filed & awaiting approval (13): 🔹 $ADA — VanEck, 21Shares, Grayscale 🔹 $LINK — Bitwise, 21Shares, Grayscale 🔹 $XLM — 21Shares, Bitwise, Grayscale 🔹 $BCH — 21Shares, BitI just finished what I was doing this morning, and took the opportunity to check the market during a break in coffee. When I saw Jensen Huang's open letter yesterday, I wondered if NVIDIA might be using news to strengthen today. But when I checked the market, NVDA was still oscillating around 207, even slightly lowering at one point. The market reaction was much calmer than I expected.
This open letter itself is quite noteworthy, with a total of 25 tech companies jointly supporting open-source AI, including Microsoft, Meta, and IBM, and even Elon Musk publicly expressing support.
Many people's first reaction upon seeing this news was: Will models becoming more open-source affect AI companies' profitability?
But if you look at it from NVIDIA's perspective, I think the logic is quite the opposite.
The more open the model is, the more developers participate, the lower the barrier for enterprises to deploy AI, and the faster AI application implementation may accelerate. What truly determines NVIDIA's long-term value is not necessarily the leading model company, but whether the entire AI industry continues to expand.
After all, models can be open source, but the GPU, servers, and computing resources behind training and inference are not free. The fiercer the competition among AI vendors, the more iterative models and expanded deployments become, the demand for high-performance computing power may actually rise.
So in my view, Jensen Huang has always been betting not on a single model, but on the continuous growth of the entire AI ecosystem. As long as the industry keeps expanding, the demand for underlying computing power will rarely disappear overnight.
However, the pace of capital market watching clearly isn't that long.
Short-term funds are now more focused on earnings performance, whether next quarter profits exceed expectations, and whether each tech company's CapEx can continue to improve, rather than on what landscape the AI industry will ultimately develop in a few years. So even if the news is positive, I don't think it's surprising that the stock price doesn't immediately respond positively.
Recently, after the Kimi K3 became open-sourced, discussions in overseas AI circles have noticeably increased, with more and more people rethinking that the future path for AI development may not be limited to closed-source models. Competition between different routes may actually further accelerate the industry's development.
My understanding is that whether open-source models ultimately dominate or closed-source models continue to lead, as long as AI continues to become widespread, the computing power demands from training, inference, and enterprise deployment will most likely keep growing.
Therefore, I won't easily assume that the AI main theme has fundamentally changed just because Nvidia has fluctuated around 207 in the short term. More often, the market is digesting expectations, trading sentiment, and waiting for new earnings confirmation.
Of course, this does not mean the stock price will only keep rising. Short-term fluctuations are still affected by earnings reports, policies, and capital sentiment, so I won't blindly chase highs, but will continue to monitor subsequent earnings realization and CapEx data. If these core indicators do not show a clear weakening, I prefer to interpret the recent volatility as a market repricing rather than that the long-term logic has ended. $NVDA $IBM the radar flagged 26 setups this week before they moved, the tape already settled every single one. gap between "saw it" and "played out" is closed, here's the tape.
split: 11 carried, 15 faded, average outcome -9.9%. but of those 15 faders, 11 were already tagged overheated/high risk before they dropped. that's not the radar missing, that's the radar calling the flush before it happened. un1, WISHBONE, POW all got flagged MEME RUNNING [high risk] and then went to zero, exactly the outcome the tag warned about.
the carry side had a clean pattern too: real squeeze mechanics won. $EUL and $RIF got tagged SHORT SQUEEZE / SHORTS IN CONTROL [med risk] and ran 52%+. $BOP was flagged high risk too but caught a genuine meme wave, +66%. so high risk doesn't mean fade, it means volatile in either direction, the tag is telling you the range, not the outcome.
lesson of the week: overheated longs on thin books fade, squeezes with real positioning behind them carry. radar's still watching, next week's setups are already loading.
NFA$11.0M of $AAVE landed on exchanges this week across 12 venues while price just drifted up 5%, flat enough that nobody flagged it on the chart.
traced the two biggest legs: an old wallet (1+ yr) dropped $4.9M onto Coinbase Prime, and that stack came from 21Shares (21.co) right before. separately Wintermute moved $4.1M onto Binance.
could be an ETP issuer rebalancing and a market maker doing market maker things, could be supply lining up to get sold. inflow like this is possible sell pressure until proven otherwise. watching this one, not calling it 👀At the earnings call, Musk directly stomped on the entire robotics industry.
"99% of demo videos are either pre-programmed or remotely controlled by someone in the background."
Everyone in the industry knew about this, but no one exposed it until Elon Musk spoke up.
The line he drew was clear: a true general-purpose humanoid robot relies on natural commands to work on its own, without pre-programming or human intervention.
Currently, no one has done this.
Including Tesla itself.
The reality of Optimus,
All components require brand-new R&D, and there is no mature supply chain
The Fremont plant is ramping up capacity slowly
Chips are the bottleneck
The first batch of equipment is used only for internal data collection and is not sold externally
Musk is stepping on others, but at the same time, he's giving his own schedule a heads-up.
Physical AI is the real direction, but there is still a long way to go between "being able to work" and "performing and working." #财报观察员: Who can truly understand the real answer sheet from Google and Tesla this time? $DOGE 🚨JUST IN: The Trump team has moved $16.91 MILLION in $TRUMP tokens to Fireblocks custody wallets.
These wallets have previously forwarded $TRUMP to BitGo.
Over the past five months, the team has sent out 48.25 MILLION $TRUMP worth $172.4 MILLION across three separate batches. 我找回了4月当时的筹码结构，显然7.6w-8w的空白区被填补了一些，不过61k 63k这个堆积筹码量达到峰值了，这就很有意思了
1.天量筹码集中度，可能就是历史大底，超强支撑，抛压跌不破，被大量换手接住
2.假如跌破且短时间无法收回，则成了这轮熊市最强阻力位，天量套牢筹码压制，且可能触发8w以上的筹码恐慌性抛售，市场就会去到下一个底部共识区重新构建底部
所以我认为，现在才是真正的行情分水岭。#财报观察员：谁能看懂谷歌和特斯拉这次的真实答卷？ $BTC 📊 In-depth Review of CoinGecko 24h Gainers: What Are Real Opportunities and Which Are Liquidity Traps?
Today's gainers list may seem lively, but in reality, it's a hodgepodge of "token listing drivers + meme sentiment + new coin/airdrop liquidity + low-liquidity fluctuations." Blindly chasing rallies based on gains can easily lead to pitfalls.
Based on exchange coverage, contract depth, and event catalysts, I divided these 10 coins into three tiers:
🥇 First Tier: Real Events and High Liquidity (Focused Tracking)
$EUL (+65.1%): The strongest token listing driver! On July 26, Upbit KRW spot was officially launched, with mainstream coverage like Binance and Coinbase, making the event tough.
$KAITO (+25.1%): InfoFi narrative leader, with extremely strong spot and contract liquidity, but caution is needed for large unlocks expected in August.
$ESP (+16.8%): After the airdrop at TGE, the core focus is whether airdrop selling pressure can be effectively absorbed by the market.
🥈 Second Tier: Event/Narrative Short-Term Game (Participate with Caution)
$CROSS: The global launch of the game "Frost Kingdom" is driven by the ecosystem.
$BOME / $TROLL / $ASTEROID: Pure meme dissemination and sentiment indicators, spreading quickly but fundamentals are fragile.
🥉 Tier 3: Low Mobility Alert (Advised to Stay Away)
$PONS / $GRX / $UWU: Although the gains are good, trading volume is extremely low (for example, $UWU is only 7.3K, $GRX is only 584K), and mainstream coverage is weak, making it easy to experience a liquidity crisis where you can buy but can't sell!
💡 Core logic: For short-term trading, don't just look at who has risen more; the key is "whether there is real catalyst, whether mainstream CEXs are taking over, whether there is contract liquidity, and whether there is imminent unlocking and selling pressure."
Which one did you follow today? Share your thoughts 👇 in the commentsIt was just 💥 the last struggle
I don't believe you can keep pulling like this
A 50,000 USD position went all-in to short
The dog farm quickly sold the stock
I'm going to sleep
Wake up and clear the groceries right away
——
$SHIB The weekly major trend has not truly reversed
Although prices have rebounded from their lows,
But it still lags below the MA20
MACD is just a weak fix
This wave is more like an oversold rebound
Once the chasing funds can't hold on,
Whatever you pull up, you might just smash down
——
BTC is oscillating near 64,800
64,000 is the short-term dividing line between bulls and bears
Breaking below is easy to keep pulling back
However, ETFs have seen net inflows for several consecutive days
There is still capital holding the market below
So you can be bearish
But the rebound should not be treated as an unresistible bonus rally
——
$ETH overall performance is clearly weaker than BTC
In the preliminary funding data,
ETH's funding rate once turned negative
Option funds are also more inclined to downside protection
This indicates that market confidence in ETH's rebound remains insufficient
BTC just needs to weaken
ETH is very likely to amplify volatility
——
$LAB Now only around $0.15
Seven consecutive days of decline of more than 13%
Compared to a month ago, it has dropped by nearly 99%.
The previous destruction and the project team's calls
There has been no real restoration of market confidence for now
On top of that, there has been pressure to unlock tokens recently
The rebound seems more like giving trapped investors a chance to escape
This market is indeed on the bearish side
But 20 times the price goes to sleep separately
It's best to set stop-loss points
Don't end up with you waking up to pick up the groceries
Instead, the dog farm collects your position in the middle of the night
#财报观察员: Who can truly understand the real answer sheet from Google and Tesla this time?
#多数党领袖称CLARITY休会前难通过 Turning Point for South Korea's Memory Industry? Concerns and Changes Amid the AI Boom
On July 26, 2026, in the early trading session of the Seoul stock market, shares of Samsung Electronics and SK Hynix both opened higher but quickly narrowed their gains. Just the day before, the two companies announced they had signed a chip supply and technology cooperation framework agreement worth 1,375 trillion Korean won (approximately $940 billion) with a major U.S. tech giant. Some market participants interpreted this news as a major victory for South Korea's semiconductor industry, but a sober look at current data and industry logic reveals that beneath the surface prosperity, structural contradictions are rapidly accumulating.
1. Capacity Expansion Outpaces Market Demand Absorption
According to the latest statistics released by South Korea's Ministry of Trade, Industry and Energy on July 24, semiconductor exports in the first half of 2026 reached $68.7 billion, a year-on-year increase of 12.3%, but the growth rate has clearly slowed compared to 28.6% in the same period last year. Among these, memory chip exports still accounted for 62%, but contract prices for DRAM and NAND Flash have remained flat for three consecutive months.
One core aspect of the agreement is raising Samsung and SK Hynix's monthly HBM (High Bandwidth Memory) production target from the originally planned 130,000 wafers by the end of 2027 to 190,000 wafers, representing a 46% increase in capacity. However, major global AI chip customers—NVIDIA, AMD, Broadcom—reported in their Q2 earnings in mid-July that inventory turnover days rose to 98, 87, and 92 days respectively, all higher than the 75-80 day range in the same period last year. Downstream customers' willingness to stockpile is marginally weakening.
2. Mismatch Risk Between Non-Binding Agreements and Rigid Capital Expenditures
The signed document is not a long-term purchase contract with penalty clauses but a memorandum of understanding covering technology roadmaps and capacity reservations. Yet, Samsung Electronics announced on July 22 an additional equipment investment of 4.2 trillion Korean won for the P4 production line at its Pyeongtaek plant; SK Hynix confirmed on July 20 that the construction period for the Cheongju M15X plant has been shortened from the originally planned 32 months to 26 months. These are irreversible physical capital investments.
According to the Bank of Korea's "Corporate Investment Intention Survey" released on July 27, the semiconductor industry's equipment investment execution rate in Q2 has reached 78% of the annual budget, compared to 63% in the same period last year. The front-loading of investments is significant, but at the same time, global cloud service providers' capital expenditure growth slowed from 34% in Q1 to 22% in Q2. A Morgan Stanley report on July 23 pointed out that the HBM supply-demand gap is expected to narrow from 18% this year to 4%-6% in 2027, and if the expansion plans are fully implemented, an 8%-10% supply surplus may occur in 2028.
3. Increased Vulnerability from Exchange Rates and Foreign Capital Flows
The Korean won to U.S. dollar exchange rate was 1 USD to 1,378 KRW in early trading on July 27, near the low range since October 2022. Foreign investors have net sold in the Korean stock market for nine consecutive trading days, totaling 2.3 trillion KRW, with over 70% of net outflows from the semiconductor sector. Data from the Financial Supervisory Service of Korea shows that from July to date, foreign ownership of Samsung Electronics shares dropped from 34.1% to 32.7%, the largest single-month decline since 2021.
The depreciation of the won and capital outflows form a negative feedback loop. The 5-year CDS (credit default swap) spread for Korea rose to 47 basis points on July 26, up 12 basis points from a month ago, reflecting a repricing of South Korea's sovereign credit risk in international markets.
4. Real Demand Absorption Capacity Faces Tests
The demand growth for HBM from AI servers is undeniable, but bottlenecks in commercial monetization are emerging. Microsoft, Google, and Amazon reported in mid-July that AI-related business revenue accounted for 5.2%, 4.8%, and 3.9% of total revenue respectively, while corresponding capital expenditures accounted for a high 18.7%, 16.3%, and 14.2% of revenue. The investment return gap remains wide.
If from the second half of 2026 to the first half of 2027, the AI application revenue growth of major North American tech giants continues to lag behind capital expenditure growth, companies will inevitably reassess their procurement budgets. The Korea Development Institute (KDI) warned in its "Supplementary Economic Outlook Report" released on July 25 that if major customers lower their 2027 procurement forecasts, the idle capacity cost for South Korean memory companies could reach as high as 90 trillion KRW annually, equivalent to 32% of South Korea's current account surplus last year.
Conclusion
What the two South Korean memory giants have now is more like an entry ticket requiring a huge upfront stake. The shortened expansion cycle, the conversion of non-binding agreements into rigid expenditures, pressures from exchange rates and capital flows, and uncertainties in downstream commercialization progress together form a complex picture similar in logic but different in path from Japan's semiconductor industry in the 1990s. Physical capacity expansion is easy; sustained realization of industry value is difficult. When the tide recedes, who is swimming naked may become apparent even before the end of 2027. Today's South Korean semiconductor industry stands at a peak, but the mountain winds are biting.$CATI is trying to recover after a sharp sell-off and has already formed a decent rebound structure. The price climbed from $0.03619 to almost $0.03985 before entering a healthy pullback. It is now trading around $0.03845, where buyers are attempting to build support.
📍 Entry Price (EP): $0.03830 - $0.03850
🎯 Take Profit (TP): • TP1: $0.03920 • TP2: $0.03985 • TP3: $0.04050
🛑 Stop Loss (SL): $0.03770
Holding above the current support could open the door for another move toward the recent high. Wait for bullish candles with increasing volume before adding larger positions.
Let's go $CATI 🚀
#EarningsRealityCheck #KoreaAIChipPush #ETHExitQueueZero $SOL Solana Absorbed $1.41 Billion in Stablecoins This Week, 3.7 Times the Net Growth of the Entire Market
The supply of stablecoins on Solana reached $16.48 billion, a 9.34% increase this week, equivalent to $1.41 billion in new capital flowing into the chain.
🔸 Meanwhile, the total market capitalization of stablecoins only increased by $383 million, meaning Solana's liquidity is being drawn from elsewhere, not just through overall expansion.
🔸 The structure is also changing: USDC now accounts for only 47.1% of the stablecoin supply on Solana, while other assets (USD1, USDG) reached a record high of $4.8 billion.
👉 This is a very strong signal for Solana. The influx of stablecoins into the chain is not just speculation but real capital for DeFi and payment applications to function. The diversification of stablecoins also shows that the ecosystem is maturing. This is a different story from previous bull runs; it focuses on real liquidity and utility rather than memecoins.
💬 Do you think stablecoins are the best measure of a blockchain's true health?
News is for reference, not investment advice. Please read carefully before making a decision.Two hours ago, BUB was just an ultra-early-stage project with "shallow liquidity but temporarily scattered chips"; Now, that judgment has failed. Its price dropped from about $0.0001624 to $0.000002384, and main pool liquidity dropped from about $31,600 to about $2,740. In the past hour, there were 1,456 sell and 235 buys. Even if the liquidity certificates still show that all locked, additional issuance, and freezing permissions have been revoked, the funds in the pool that can truly support trading have collapsed, and I will stop observing. BUB contract: 4FaSuBUp15t9Qiar9MdpaspkZJU5RK6A3QLnybNCpump https://dexscreener.com/solana/J1GuZspgz3kxJqgngTGsR5QyJioSLAoZnApFd2yvtVsR HBULL temporarily different. It currently has a market value of about $0.001695, a market cap of about $1.7 million, main pool liquidity of about $126,600, and 24-hour trading volume of about $1.1 million. Within two hours, the price fell by about 10%, but trading volume did not disappear; About 99.97% of the main pool liquidity certificates are locked, and the rights for additional issuance and freezing have been revoked. I still only treat HBULL as a regular observer, since one address holds about 25.70% of the tokens. The project team claims this is a pledged vault, but I haven't seen it yetNvidia 与 SK 集团宣布超 5000 亿美元 AI 基础设施计划，但加密市场反应冷淡，BTC 与 ETH 走势分化，山寨币普遍承压。
这是否意味着 AI 叙事对加密市场的溢出效应已被完全定价，还是市场正在等待更明确的资本流动信号？
- 事件事实：Nvidia 与 SK 集团联合公布 AI 项目，SK Telecom 将建设 2 吉瓦 AI 数据中心，采用 Nvidia Vera Rubin 芯片与 SK Hynix HBM4 内存。SEC 文件显示，SK Telecom 计划在 2035 年前将 AI 数据中心容量提升至 15 吉瓦。项目总估值超过 5000 亿美元。
- 市场结构变化：该消息发布后，BTC 在 10.5 万美元附近窄幅震荡，ETH 相对 BTC 走弱，山寨币整体下跌。这表明，AI 基础设施的长期利好并未直接转化为加密风险资产的需求。市场可能将这一事件解读为"传统科技资本继续大规模涌入 AI"，而非"AI 与加密的融合加速"。
- 预期差与重定价：此前部分市场参与者预期，AI 基础设施的大规模扩张会通过算力需求、代币化或去中心化计算网络等路径溢出至加密市场。当前价格行为显示，这种溢出效应要么被提前定价，要么尚未形成可验证的传导机制。市场正在重新评估"AI 概念币"的风险溢价，尤其是那些依赖短期叙事而非实际链上活动的项目。
- 仓位行为与衍生品风险：从衍生品市场看，BTC 永续合约资金费率维持在 0.01%-0.02% 区间，未出现明显上升，表明多头并未因该消息加仓。ETH 期权隐含波动率小幅下滑，显示市场对 ETH 短期波动预期降低。山寨币期货持仓量下降，暗示投机资金正在撤离。若 BTC 无法突破 10.8 万美元阻力位，可能触发多头清算，加剧回调。
- 偏多路径与条件：若未来数周出现明确的"AI+加密"合作落地案例，例如去中心化计算网络获得 Nvidia 官方支持，或 AI 数据中心采用代币化算力，可能重新激活 AI 叙事。届时 BTC 需站稳 11 万美元上方，ETH 需突破 4000 美元，山寨币才有望获得资金回流。
- 偏空风险与条件：若 AI 项目推进顺利但加密市场无直接受益，市场可能进一步压缩 AI 概念币估值。若 BTC 跌破 9.8 万美元（当前 200 日均线附近），可能引发更广泛的去杠杆，ETH 与山寨币跌幅将更大。
- 结论：Nvidia 与 SK 的 5000 亿美元 AI 计划，在加密市场中被定价为"科技股利好"而非"加密催化剂"。当前 BTC 相对强势，但 ETH 与山寨币的弱势表明，市场对 AI 叙事的外溢效应持怀疑态度。在这种结构下，衍生品市场风险偏好下降，短期更应关注 BTC 能否守住关键支撑，而非追逐 AI 概念。
风险提示：AI 基础设施扩张可能持续分流加密市场注意力，而非带来增量资金。
$BTC $ETH $AISpot $LINK ETFs have recorded capital inflows for three consecutive days...... For the first time since April.
What is brewing within the Chainlink ecosystem.
Spot $LINK ETFs have just experienced three consecutive days of net inflows—the first time since late April 2026.
These products ended the week with a net inflow of +$2.98M and now hold 1.79% of the circulating supply of $LINK.Is $DOGE preparing for a rally at the end of the $BTC bull market?
I've noticed that since the start of the bear market, every time Bitcoin and the market rebound at the end, $DOGE has systematically surged, and when this happens, a sell-off usually follows
$BTC In my view, it hasn't reclaimed its highs yet, so Dogecoin may have good upward momentum$短线（几小时到1-2天）做多不是好时机，风险大于机会。原因如下：
· 上方压力明显：1小时图显示价格正好压在1,922.68附近，这里既是日内高点区域，也接近SuperTrend（1,904.67）的压力位。更关键的是，预估强平价在1,892.62，意味着如果价格跌破这里，多头会大量被动平仓，引发加速下跌。
· 持仓量背离：你截图里的持仓量（OI）在价格反弹时明显下降（从15.11亿降至14.78亿），这是典型的空头平仓推动反弹，而不是新多头进场，这种上涨持续性往往很差。
· 资金费率偏中性：近期费率在0附近小幅波动，说明市场没有强烈的看多情绪，缺乏趋势性行情的燃料。
具体操作建议：
· 想做多：至少要等价格放量突破1,928（24h高点）并站稳，或回踩1,890-1,900不破时再考虑，止损设在1,880下方。
· 更倾向短线做空：若价格在1,925附近再次上冲乏力，可轻仓试空，止损1,935，目标先看1,900和1,890。
· 特别提醒：你用的杠杆倍数没显示，如果是高倍杠杆（10x以上），现在做多非常危险，一旦跌破1,900，下方支撑很弱，可能直接奔向1,876甚至1,865。
简单说：现在做多属于“逆小势”，盈亏比不划算。建议要么等突破确认，要么等深度回调，暂时观望或轻仓试空更稳妥。$$AAVE is demonstrating strong bullish momentum on OKX today, pushing up +5.65% to trade around $97.21 with a 24-hour high of $98.12.
After testing support near its recent low of $87.50, the price has broken back above key short-term moving averages (MA5 at 94.95, MA10 at 92.98, and MA20 at 93.53), signaling a healthy reversal on the daily chart as buyers target the psychological $100 mark.
#DailyOrbit @OKX中文 Next week, US stocks will be tough. Microsoft, $META, Amazon, and $AAPL are all reporting earnings reports, while the Fed, GDP, and PCE are all packed together in the same week.
Previously, Google and Tesla had already set an example for the market. Despite decent performance, it still declined, because capital is now losing patience with "continuing to invest in AI." Whether income grows is only part of the story; how long it takes for the money spent to be recovered is the key focus of pricing after the financial report.
On Wednesday, I'll first look at Microsoft's Azure growth rate. The market expects revenue of $87.67 billion and earnings per share of $4.24, but the numbers are still not enough; only then will Azure and AI investment guidance determine the after-hours direction. If Meta wants to continue significantly increasing its capital expenditures, advertising revenue must be strong enough; otherwise, the stock price will struggle to keep up.
Looking at Amazon and AWS on Thursday, growth can hold expectations, and the hash rate storage chain of Nvidia, Micron, and SK Hynix can catch their breath; AWS slowed down, and the first to be cut were hardware stocks that had previously seen large gains. Apple: I only care about sales in China and next quarter's guidance; no matter how much AI is mentioned at the launch event, it always comes at the bottom.
My position will be lighter. Next week, the market won't reward "almost" stocks; as long as any performance, guidance, or cash flow falls short of expectations, overvalued tech stocks may fall directly.$BTC
My pattern plays out again...
Friday weakness. ✔️
Weekend strength. ✔️
This time wasn't different.
The weekend should close above Friday's candle close, bringing the pattern to 12 out of the last 13 instances.$BTC #EarningsRealityCheck Back in 2018, hundreds of domestic exchanges were clustered together, charging coin fees, issuing air assets, and selling customer losses—all sorts of tricks. Now, in 2026, the wave of bankruptcies has arrived—aside from those who just fled, the main problem is that matchmaking deals no longer make money, retail investors have evolved, and regulations are getting stricter. Large firms compete fiercely over services, while smaller firms simply can't survive.
If the crypto world truly wants to revive itself, it must abandon all old tricks and focus on one thing: turning good real-world assets—like US stocks and government bonds—into low-cost, high-efficiency Web3 assets on-chain. This is not something a diploma trader can handle.
---
Looking back at the evolution of finance over the past few centuries:
· The bank has → money that can circulate
· The securities market has → corporate equity that can now be moved
· ETFs have emerged→ allowing a basket of assets to be traded at low cost
· Internet brokerages have emerged→ ordinary people can now buy global assets
· The emergence of blockchain → aims to enable global assets to circulate borderless 24×7 hours a day
The true value of Web3 has never been in building more casinos, but in becoming the next generation of financial infrastructure.
Exchanges that survive aren't about who can create more speculative opportunities, but about who first masters TradFi, carves out a trick on it, and makes Wall Street people take a second look at Web3—that's real skill.
#多数党领袖称CLARITY休会前难通过
#财报观察员: Who can truly understand the real answer sheet from Google and Tesla this time? Last night after work, I watched the market for a while. I originally just wanted to see if there was a chance to reduce some positions, but I ended up seeing many people discussing the storage sector. The comment section still had the same saying: “When cyclical stocks have the highest profits, their P/E ratios are often the lowest.” Of course, I agree with this, but I think it only explains the surface and doesn’t answer the question I really care about—how much longer this cycle can last.
Companies like SK Hynix, Micron, Snowflake, and Samsung currently have relatively low valuations. Many people's first reaction is “Don’t touch them, the cycle is at its peak.” But the market actually already knows that the current profit margins can’t be maintained forever, which is why these companies don’t have very high valuations. The real disagreement isn’t whether the cycle will end, but how many more years the supply-demand tightness can last.
If the industry peaks this year and then immediately enters oversupply, price declines, and margin contraction, then the valuations that look cheap now could very well be classic value traps. But if supply tightness can continue for two or three more years, the cash flow these companies accumulate before the cycle truly reverses might be far more than what the current market valuations reflect.
I personally prefer to focus on feedback from companies in the supply chain rather than just watching P/E ratios. At least the information released by several suppliers currently leans toward the latter. SK Hynix mentioned that supply tightness for some memory products might continue until the end of this decade; Samsung, although more conservative, also believes that noticeable supply tightness will last at least until 2027.
Of course, management’s words can’t be trusted 100%, since everyone wants the market to have more confidence in them. But the information they hold is indeed much more complete than that of outside investors, such as customer contracts, equipment purchases, wafer planning, and packaging capacity. These will ultimately be reflected in the pace of capacity expansion, not just slogans.
Another common concern is whether customers will reorder repeatedly.
If the actual installation rate is low, it could mean customers overestimated demand, or it could be due to limited capacity, so everyone locks in supply early. Looking at order quantities alone makes it hard to judge which is the case. I think contract terms are more worth studying.
In this cycle, many customers are willing to sign multi-year agreements, accept price floors and ceilings, pay prepayments, and even share the funding for new capacity construction. From a business logic perspective, if demand were only short-term, few would lock resources years in advance or willingly bear expansion risks for suppliers. I think this is more meaningful than order numbers.
HBM is also an area I’ve been paying close attention to. Its biggest difference from traditional DRAM is that new supply is no longer as easy to release. HBM consumes more wafer capacity, requires higher yields, and advanced packaging further limits expansion speed. From HBM3E to HBM4 and HBM4E, manufacturing complexity continues to increase, so the newly added capacity is likely absorbed by the higher manufacturing intensity per product rather than simply turning into more shipments.
The same logic applies to TSMC and ASML.
The more advanced AI chips are, the more they rely on leading processes, EUV equipment, and advanced packaging working together. Whether it’s TSMC building new fabs, ASML delivering equipment, or customers completing capacity expansions, the whole process can’t be done in just a few quarters. Supply will definitely increase, but the speed of increase may not be as fast as the market imagines.
On the demand side, some worry whether Nvidia, AMD, and Broadcom will face pressure in the future because big companies like Meta, Google, Amazon, and Microsoft are currently very aggressive in purchasing AI accelerators and custom chips. If data center construction cools down, inventory, prices, and margins could all be affected.
I think this risk does exist, so I won’t keep my positions fully loaded just because I’m optimistic about the cycle. But on the other hand, AI computing demand itself is changing. Training still requires massive computing power, inference demand is expanding, and agents as well as more custom chip projects continue to add new loads. Even if the growth rate of a certain chip category slows, new demand sources might continue to push the entire construction cycle further out.
In the past two years, I think the biggest characteristic of the supply chain is that bottlenecks keep moving. At first, everyone fought for GPUs, then HBM and advanced packaging became the constraints, and later it was optical modules, power, cooling, and data center capacity. The constantly changing bottlenecks themselves indicate that the entire industry is still expanding on multiple physical layers, not yet reaching a very clear endpoint.
My understanding is that semiconductor cycles certainly won’t disappear. Supply will eventually catch up with demand, prices will return to normal, and margins will decline. What’s really worth comparing is whether the market’s current valuations, which reflect expectations about the cycle’s end time, align with actual contract durations, expansion speeds, and supplier feedback.
If AI demand slows earlier than expected, then these low valuations might indeed be warning of risk; but if physical bottlenecks in the supply chain remain unresolved and new capacity release can’t keep up, then what the market is underestimating might not be these companies’ profitability but how long the entire boom cycle can last.
So I’m not blindly overweight just because valuations are low, nor will I avoid the sector outright just because of the saying “low P/E in cyclical stocks means the top.” I prefer to track industry data while adjusting my positions. After all, the cycle will end, but it might not reverse quickly next year as the market pricing suggests. Leaving some room in trading is much more comfortable than betting on a single direction.
#韩国存储双雄获AI双巨头大单
$SKHYNIX $MU #Ethereum validator exit queue has dropped to zero
I discovered a very magical phenomenon.
The Ethereum validator exit queue has been directly cleared, but ETH wanting to be staked has to wait in line for more than 40 days.
On one side, no one wants to leave; on the other, new money is scrambling to get in. Isn't this signal obvious enough?
My view is simple: this wave is not retail investors playing, but institutions bottom-fishing and locking up. Big holders like BitMine have staked 70% of their ETH in one go, clearly not planning to sell in the short term. Plus, with continuous inflows into ETFs, the circulating supply in the entire market is quietly shrinking. Many people anxiously watch the candlestick charts daily, thinking ETH can't rise, but look at this data—no one wants to sell, and new money is still queuing to enter. This itself is a pretty strong signal.
Speaking of Bitcoin, this staking wave has actually brought indirect benefits to it. Previously, people worried about "ETH crashing dragging down BTC," but now that the exit queue is zeroed out, ETH's selling pressure has basically disappeared, and Bitcoin has lost one of its biggest "ball and chains." More importantly, ETH staking locks up a large amount of liquidity, effectively reducing the total market supply. Bitcoin's supply is already decreasing after the halving, and with ETH also exiting circulation in large amounts, both sides are shrinking supply, which is a double support for the price.
Of course, risks are not absent. Validators are too concentrated, and large nodes have too much influence, which is not good for decentralization. But given the current situation, I don't think there's a need to be too pessimistic. After this 40-plus-day queue is digested, market supply will be tighter.
On a side note, meme coins are crazy today. Could a wild bull market be coming?!
$BTC $SHIB $DOGE #韩国存储双雄获AI双巨头大单
单季利润狂吞150万亿韩元！SK海力士财报炸场，粉碎了谁的“AI泡沫论”？
过两天（29日），SK 海力士就要正式公布二季度财报了。根据 Yonhap Infomax 14 家机构的最新预测，海力士 Q2 营业利润预计将冲上 64.09 万亿韩元——单单这一个季度的利润，就比去年全年的 47.2 万亿韩元高出了整整 17 万亿韩元！
加上一季度的 37.61 万亿，海力士仅上半年的营业利润就突破了 100 万亿韩元大关。如果再算上三星电子 DS 部门 Q2 预告的 89.4 万亿，韩国这两大半导体巨头单单二季度合并营业利润将超过 150 万亿韩元。
看到这组夸张的财务数据，说实话，之前市场上打着“AI 投入回不了本”、“AI 资本开支泡影”旗号唱空的人，脸都被打肿了。
这组数据的背后，暴露了全球科技资本流动的核心真相：
科技巨头砸向 AI 基础设施的巨额 Capex（资本开支），不是砸进了无底洞，而是精准转化成了存储和算力卖方账面上万亿级的法币现金流。HBM 高带宽内存不是在讲故事，而是当下全球壁垒最高、吸金能力最强的实体大宗商品。
对加密市场而言，这份爆表财报的意义极其重大。
前一阵美股科技股回调，加密场内不少散户慌得不行。但韩国两大芯片巨头 150 万亿韩元的单季利润直接证明：AI 算力产业链的现金流造血能力坚不可摧。
当实体世界的算力变成盈利能力最强的资产时，加密行业里那些靠代币无限通胀印钞补贴的垃圾山寨，只会被加速淘汰；相反，真正能接入物理算力网络、推动算力代币化（如 Gensyn、Virtuals 协议）以及提供链上算力收益分配的基础设施，正迎来传统资金的价值重估。
我的结论：29 日海力士财报正式落地，极大概率会打消宏观资金对科技股和算力 Capex 的最后观望情绪。
你们觉得 29 日海力士财报超预期，能掀起科技股和加密 AI 板块的新一轮反攻吗？评论区聊聊。Bitcoin is not safe here.
The whole time it is under $66,000, there is a clear pathway to the Realised Cap at $54,000,
The consolidation under $66,000 only becomes a deviation once Bitcoin has reclaimed that level again.
If it does not reclaim, then it becomes a potential bearish consolidation that leads to deeper lows.
With the current corrective price action, this cannot be ruled out as impossible.
There are a few key things to note however.
This bottoming structure is almost identical to 2022.
And we were correctively moving back then also, with a very similar weekly candle to what we are getting right now.
That candle and the weeks that followed sent the timeline into a massive "$12k is coming" frenzy...
But it did not come, and Bitcoin began impulsing out of thin air.
We also had a bullish divergence, and the same percentage of coins sitting in a loss.
In 2022 we spent 10 weeks below $18,000.
Right now, we are 7 weeks since we tagged below $60,000.
The similarities are uncanny$BTC 加密交易所 BitMart 在宣布关闭前数日，其链上公开资产储备大幅下滑，从本月12日的约1200万美元降至26日的约231万美元。目前其链上仅189万美元资产：其中 Ethereum 链约81.5万美元、Solana 链约66万美元、BSC 链约36.2万美元、Starknet 链约3.7万美元、Bitcoin 仅约1.7万美元。$COIN 的核心矛盾在于估值逻辑正在从单向依赖加密交易周期的现货交易所，向覆盖资产发行到结算的基础设施转型，但短期手续费收入占比依然决定着现金流稳定性。
目前市场将 $COIN 视为加密周期的弹性放大器，其早期底层盈利模式全赖美元买卖 BTC 与 ETH 等现货的手续费抽成。
驱动因素的排序依次为：交易业务之外的金融基础设施拓展深度、加密市场整体交易量的回暖速度、以及非交易类收入对周期下行期的对冲效果。
上行剧本的触发条件在于资产服务边界成功跨越单现货交易。如果其参与发行与结算环节的收入增速超越传统现货手续费，市场将把估值体系锚定为全链综合金融基础设施，从而抬升估值中枢。
该剧本的失效信号是加密资产整体现货交易量出现毁灭性萎缩，导致基础设施类收入的增量无法补足手续费的缺口。
下行剧本的触发条件在于业务拓展未能改变收入结构依赖。当熊市周期导致交投活跃度持续低迷时，单一依靠手续费的盈利底座会重新拖累整体财报表现。
下行剧本的失效信号是非交易类业务收入占比突破关键临界点，使得交易量下滑不再同步等幅拉低公司总营收。
未来 7 天最重要的观察变量是加密现货交易量在总营收贡献中的边际变化趋势以及非交易类产品的业务推进节奏。
#财报观察员：谁能看懂谷歌和特斯拉这次的真实答卷？ #SPCX因星舰发射与解禁引发多空分歧#Korean Storage Giants Secure Major AI Orders from Dual Titans
AI computing power enters the order fulfillment phase
The AI industry chain welcomes another major positive development
South Korea's storage chip leaders Samsung Electronics and SK Hynix simultaneously secured long-term cooperation orders from AI giant Anthropic. Meanwhile, NVIDIA announced a $1 billion investment in South Korean internet giant Naver to build an AI data center and further expand cooperation with SK Group. This series of moves indicates that the global AI competition has shifted from model competition to infrastructure competition.
What truly deserves attention is not just one or two orders, but the fact that global tech giants continue to increase capital expenditures.
Whether it's OpenAI, Anthropic, Meta, or Microsoft, they are all continuously increasing AI computing power investments. HBM high-bandwidth memory, GPUs, servers, and data centers have become the scarcest resources in the AI industry chain.
Previously, the market once worried about a slowdown in AI investments, but recent news breaks those concerns. Intel raised its earnings guidance, Qualcomm announced price hikes, and now Samsung and SK Hynix have secured long-term orders again, all indicating that AI demand remains strong and has gradually expanded from GPUs to storage, networking equipment, and data centers across the entire industry chain.
I believe this means the AI market is entering its second phase.
The first phase was driven by expectations—whoever told the AI story rose; the second phase competes on orders, performance, and capital expenditures. Whoever can continuously secure AI orders has a better chance of market revaluation.
For the capital market, $NVDA, $AMD, $AVGO, $TSM, and other computing power and semiconductor leaders remain the core beneficiaries, while Samsung Electronics and SK Hynix will continue to benefit from the supply shortage of HBM and growing AI server demand.
For the crypto market, this also sends a positive signal.
As AI infrastructure continues to expand, AI sector tokens are expected to keep attracting capital attention. Projects like $TAO, $FET, and $RENDER remain important representatives of the AI sector. Meanwhile, the improved AI industry outlook also helps enhance overall market risk appetite, indirectly supporting mainstream crypto assets like $BTC, $ETH, and $SOL.
What the market really needs to focus on is not whether the AI concept can still be promoted, but whether global tech giants continue to invest.
As long as data centers are still being built, GPUs are still being continuously procured, and HBM remains in short supply, it means this AI industry cycle is far from over. The true beneficiaries in the future will not only be model companies but the entire computing power industry chain and related assets developed around the AI ecosystem.