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#Oklo核能供电布局距离商业化还有多远？ Market expectations are approximately $990,000 to $1.09 million (year-on-year significant growth mainly from isotope sales, not electricity sales).
· Earnings per share (EPS): Generally expected to be about -$0.24 to -$0.27, with losses widening about 40%-46% year-on-year.
· Net loss: Expected to be about $43.53 million.
· Cash position: As of the end of Q2, holding about $3 billion in cash and marketable securities, but the 2026 operating cash burn guidance has been raised to $120 million to $150 million, and capital expenditures have been increased to $400 million to $500 million. $NET dropped about 8% during the day to around 245, then after-hours earnings caused a jump of about +14% to around 280. I’m not chasing the gap.
Here’s what I saw: Cloudflare Q3 revenue about $782.5 million, up about 39% year-over-year, the fastest in nearly four years, consensus was about $736.8 million.
Adjusted EPS about 0.38, beating consensus of about 0.34.
Q4 revenue guidance about 845–846 million (consensus about 798 million), full year raised to about 2.963–2.964 billion.
The stock fell during the day along with AI, then after-hours it quickly pulled back from about 245 to around 280.
My take: The numbers are solid, but a daily gap of over ten points means too many people are already chasing the "AI security essential demand" narrative.
The market is still digesting selling pressure; this kind of after-hours surge feels more like emotional repair, not a green light to chase the rally.
Watching but not chasing. First, see if it can hold around 280 on Friday; if it falls back to about 245 or the guidance is proven wrong, then reassess.
Do you trust "strong earnings can hold the gap," or "the gap is too big, better not catch it yet"?
$NET $NVDA $QQQ
#USStocks #EarningsMorgan Stanley joining DTCC's tokenization service matters because it places onchain interests in stocks, ETFs and Treasuries inside familiar custody infrastructure. That may make settlement and collateral workflows more practical for institutions.
Still, the $30T figure is eligibility, not tokenized demand; only 34 securities are initially covered. Adoption, not addressable value, is the test.
#MorganStanleyJoinsDTCC At 9:30 PM tonight, the October non-farm payrolls will be released, coinciding with the US stock market just having taken a heavy hit. On Thursday, the Nasdaq $QQQ dropped 5.5%, the S&P fell 4.4%, and the Dow dropped 1,833 points. Money fled to bonds, with the 10-year US Treasury yield falling to 4.84%, the lowest in two months.
Market expectations are very low. The consensus forecast for the Dow Jones is an increase of only 59,000 jobs, FactSet estimates 65,000, and the unemployment rate is expected to hold at 4.2%. In September, only 29,000 jobs were added. From January last year to September this year, the average monthly increase was only 35,000, and the unemployment rate rose by just 0.2 percentage points because the labor force is nearly 1 million fewer than in September last year. Fewer hires mean fewer layoffs as well; last week’s initial jobless claims were 189,000, close to the lowest level since 1969.
The Fed officials are not weak. Richmond Fed President Barkin said on Thursday that with the unemployment rate near historic lows and inflation too high, the path is clear; the only question is the pace, and he leans toward gradual hikes. FedWatch gives the probability of a rate hike in December at over 80%. The Bank of England raised rates to 4% on the same day by an 8-1 vote, the first time in over three years. The sole dissenting vote wanted a 50 basis point hike and expects inflation to head toward 5% by mid-next year.
This time, the unemployment rate is more important than the job additions. The labor force has been shrinking, so an increase of 60,000 jobs is enough to keep the unemployment rate at 4.2%. If it jumps above 4.3%, it means the problem is not a lack of hiring but a lack of people to hire, and Barkin would have to change his tune, loosening the 80% probability of a rate hike. If the unemployment rate stays steady, the Fed will watch inflation regardless of job additions, so don’t expect the stock market to find any relief from this report. $AAPL $TSLA During yesterday's sharp drop, this perpetual chain collected about $521,000 in "priority fees" in a single day, setting a new record high.
This amount accounted for approximately 12.7% of the platform's total revenue that day, also a record high.
This does not mean the platform has already made a fortune, nor does it mean every ordinary order has to pay this much—the main players are liquidation bots and frontrunners competing for priority.
Let's watch if this level remains high after things calm down in the next few days.
$HYPE 📉 On November 4, the US spot BTC ETF saw a net outflow of about $578 million, marking the fifth consecutive day of outflows, with a total of about $1.91 billion over five days. Fidelity's FBTC led with a single-day withdrawal of about $357 million, ARKB about $128 million, and none of the twelve products had net inflows.
📈 But the market moved in the opposite direction: BTC rose from a low of about 75,734 in 24 hours to around 81,200, currently priced at about 80,760, with a funding rate of about 0.007%. Institutions are withdrawing, yet the price has recovered over five thousand points.
🤔 This looks more like short covering combined with a short-term pulse of risk appetite warming after the election; I do not see it as a trend reversal. As long as the ETF does not turn positive in a day, chasing longs above 80,000 is psychologically uneasy.
🎯 In terms of operation, treat 80,000 as short-term support first; it has been tested multiple times in the Asian morning session. If it breaks, reduce positions. The first resistance above is 81,200; this morning's high is right at this level, so don't chase if it can't break through. Set stop loss below 79,200, with a target initially at 82,000, maintaining a small position.Recovery does not equal realization
$CORE recovery address received 68.15 million tokens, and the price dropped more than 6% that day. This is not just sentiment; it is an unresolved case on the ledger.
How the tokens came about: a hard fork redirected the attacker’s balance to the recovery address; the original transactions were not erased, and attack traces can still be found on-chain. The recovery action is valid, but the distribution action is absent.
The key lies in who holds the chips. The 68.15 million tokens are stuck at the recovery address; the affected users have not received them, which means there is a large sell order outside the market that can be activated at any time. If it doesn’t move, the selling pressure is just locked up; if it moves, the expectation is realized.
So the price drop first is pricing in the “possible future distribution.” The opposing side is not watching the announcement but the first transfer out of the recovery address. Until it is sent out, recovery is just an address change, not a risk clearance.
Only when distribution begins can it be considered a true recovery.Oklo's Q3 report may clarify a meaningful gap: Aurora and AI data-center power partnerships show strategic direction, but they do not establish commercial readiness. Regulatory approvals, construction and funding remain active constraints.
Project updates alongside cash burn should be the useful evidence. Strength on both would make the route to operations more concrete; either one alone leaves material uncertainty.
#OkloQ3NuclearOutlook I see this as just a bet in the same direction, not yet confirmation of a trend. Two people being bullish does not equal a shift in market sentiment to bullish.
Two wallets opened long positions on ZEC with 10x leverage, totaling about $302,800. I stick to three rules: look at the trend—there's no trend confirmation here; look at breadth—two people don't represent market consensus; look at the fallback—10x leverage means if the price moves about 10% against them, their margin could be wiped out.
The trend is the best friend; without confirmation, I wait. How is everyone judging ZEC's trend now, by moving averages or by high-low point structure?There is a noteworthy position adjustment on-chain. An address with a cumulative profit of about 40.97 million USD closed its long position of 1010.24 ETH and opened a short position of 1406.37 ETH, with the current position valued at approximately 3.16 million USD.
Looking at the 3.16 million alone, it’s not a whale in the ETH market. What’s worth noting is the rhythm: within the window, it closed about 4.22 million USD in long positions while opening about 5.17 million USD in short positions. The short position is even larger than the closed long, which is not hedging to reduce risk but a directional bet.
There is a mechanism here that is easy to overlook. Large holders’ position adjustments are often not predictions but reactions to liquidity: when longs are crowded, pushing prices up becomes costly, and pushing down yields more profit, so positions naturally tilt toward the short side. Reading this kind of reversal is not about their price view but about judging which side is more likely to move.
Look again at the 40.97 million USD cumulative profit. The characteristic of such addresses is longevity, not chasing rebounds, and switching sides when wrong. They won’t stubbornly hold longs just because they are bullish on $ETH long-term, nor will they become permanent shorts just because they opened a short; they follow odds, not faith.
What should be remembered most is not "If the big player is bearish, I’m bearish too," but the difference in rhythm: closing 4.22 million in longs first, then opening 5.17 million in shorts, with position confirmation in between, not emotion.
A question worth pondering: when such an address opens a reverse position larger than the closed one, how many longs remain uncleared in the market? Why did the market suddenly crash yesterday?
It wasn't because a certain on-chain project blew up; it was the US stock AI tech stocks that crashed first, dragging the crypto market down with them.
Simply put, there are four points:
1. The midterm elections resulted in the Democrats controlling both chambers, causing market concerns about slower AI data center expansion and stricter regulations.
2. AI is burning too much money, returns are being questioned, chip stocks plummeted, and the Nasdaq followed suit.
3. The day before, the price had just rebounded above $80,000, mostly due to short covering, but the foundation was weak.
4. There were many leveraged long positions, so when prices dropped, it triggered a cascade of liquidations, amplifying the decline.
So yesterday felt more like a post-election rebound sell-off + AI trading crash spillover + long liquidation.An intriguing detail: The Japanese Prime Minister specifically spoke about the market today, saying he is closely watching the sharp declines in AI and chip stocks but "finds it difficult to determine whether this is a temporary phenomenon or will persist."
When a national leader steps in to soothe the market and frankly admits he doesn't understand it either, such a scene usually doesn't occur during calm market conditions. Politicians instinctively wait for the dust to settle before making statements; their early intervention to speak out precisely indicates that the volatility has become so significant that even the political level cannot remain idle.
Players in card games are very sensitive to this signal: when an opponent starts proactively explaining the cards they hold, it is often not because they have a good hand, but because they are panicking. The market is the same; a true bottom does not require anyone to come out and offer reassurance. Where we are: BTC closed October down 7.3% and dipped to about $76,300 last week, testing support near its 100-day moving average. The macro link: Goldman estimates Big Tech capex is running near 100% of operating cash flow, so more borrowing may be needed. If post-midterm rules slow or delay data center builds, that spending gets riskier, and risk appetite can tighten across tech and crypto. Long-end yields under pressure add to it. The history: BTC ended Q4 lower in each of the last three midtModerna今天盘前出Q3财报。最近intismeran（个性化癌症疫苗）三期数据出来后，股价已经大涨一波，市场把管线乐观预期打很满 但我把现实情况理一下： 1. 科学突破是真的，但还没转化成钱 intismeran + Keytruda在高危黑色素瘤三期中，复发或死亡风险相对降低约42%，数据确实是实打实的。但问题是： 商业化路径、生产规模、支付方定价能力都还没验证，近期其他产品（流感、RSV等）贡献仍然有限，目前收入还在下降通道，现金消耗也没停 2. 估值已经跑在基本面前面 现在这股价235对应的隐含价值，所有分析师都认为远超现实了，即使乐观DCF情景，也只支持到约101美元，更保守的工作估值只有约60美元附近 换句话说，市场已经把未来多年的管线成功提前定价了 3. 这次财报真正要看的不是当季数字本身 当季营收预期大概在8.9亿附近（同比下降约12%），EPS预计亏损。关键是：全年“最多10%增长”的指引能不能稳住 费用控制和现金跑道有没有继续改善（年末现金指引此前上调到47-52亿） 管理层对intismeran后续（肾癌等）以及其他管线的节奏怎么说 4. 历史规律 MRNA过Three sessions of roughly $1.158B in US spot BTC ETF outflows show how quickly institutional demand can reverse under stress. JPMorgan's 2027 framework gives BTC a place in long-term assumptions, but 55% volatility and unstable correlations still limit its usefulness in a core allocation. The opportunity is real; the portfolio case remains conditional.
#JPMBTCLongTermForecast #ModernaQ3VaccineSales
My take on Moderna (MRNA) Q3:
I am leaning YES on beating earnings. The bar is very low — consensus is -$1.10 EPS on ~$890M revenue, vs -$0.51 on $1.02B last year. In Q2 they already beat with -$1.97 on $145M revenue vs $103M expected.
The real story is not COVID anymore, it's the cancer vaccine data. That is why the stock is up almost 8x from its low this year.There is a possibility that Moderna's Q3 earnings report will exceed expectations, mainly based on its recent record of surpassing expectations, a relatively low consensus threshold, and potential flexibility in international orders and cost control. However, the nature of this outperformance differs from Q1 and Q2: previously it was "outperformance under strong growth," whereas Q3 is more likely to be "losses smaller than expected or revenue decline less than expected against a backdrop of year-over-year revenue decline."
Ultimately, the market's reaction to this earnings report will heavily depend on the gap between the actual revenue figure and the $890 million consensus, as well as whether management maintains guidance for full-year revenue growth (up to 10%) and year-end cash reserves ($4.7–5.2 billion). Maintaining guidance may stabilize market confidence more than a single quarter's earnings per share beat.
#ModernaQ3财报将揭示疫苗销售趋势 前两天我说BTC回到8万 别急着搬回去住 结果还真没住满一天 美股昨晚来了一场史诗级抛售 费城半导体指数盘中一度跌11.6% 加密跟着挨了一闷棍 BTC 24小时跌5.58% ETH跌7.69% 全网爆仓超10亿美元 其中88%是多单 今早BTC在7.6万美元附近 数据来自 Odaily BlockWeeks 和11月6日早间行情 以实时为准 同一时间 民主党横扫中期选举 不少机构预期 CLARITY法案可能要搁置到2028年 很多人觉得天塌了 我倒觉得这像谈恋爱 本来以为对方明年就求婚 结果人家说先冷静两年 难受是真的 但感情没断 为什么这么说 昨晚整个榜单一片红 唯独黄金代币XAUT逆势涨0.82% 香港刚公布黄金代币锚定标准 一枚对应一根400盎司金条 三星钱包上线Solana链USDC账户 覆盖约8200万台设备 立法慢下来了 但应用没停 稳定币 RWA 代币化资产 还在沿着现有规则往前走 这才是这个行业真正的底气 所以我现在的心态就三句话 第一 宏观风险偏好在降 美联储也有官员开始提渐进式加息 杠杆该收就收 第二 少盯K线多看落地 RWA和稳定币是能穿越政策周期的那条线 第三The stock market is screaming, and the bond market is voting with its feet, the latter often being more honest. Today is a global risk-off day, and it's very clear where the money is flowing: China's 30-year government bond yield has fallen to 2.037%, hitting a new low since August 2025, and the 10-year yield has even hit a historic low; on the U.S. bond side, the 10-year yield has also dropped sharply to just above 4.8%.
What does a falling yield mean? It means a large amount of capital is willing to accept lower interest just to shelter in the safest assets first. This is not what a "rate cut bull market" should look like; this is a real flight to safety.
When signals from stocks and bonds conflict, don't just listen to the loud shouting from the stock side. Ask one more question: What exactly are the people rushing to buy bonds afraid of?$SOXL plunged 18.59% in 24 hours, but the bottom-fishing bulls are getting increasingly crowded. According to Binance futures data:
The contract open interest value rose to 373 million U, with a large number of new positions entering during the plunge, both longs and shorts.
The ratio of long to short in large accounts is close to 10:1, but the long to short position volume ratio is only 2:1, suggesting shorts may have larger average positions.
The overall market long to short account ratio is close to 8:1, indicating strong bottom-fishing sentiment.
The funding rate is as high as +0.13629% per 8 hours, meaning the cost of holding long positions is not low.
The price keeps hitting new lows, bulls keep entering, but have yet to trigger a reversal.
If the price continues to break down, it may trigger a new round of long stop-losses and forced liquidations.Mercado Bitcoin stated on Monday that the breach was under control, but forensic analysis cited by Decrypt showed that thousands of customer deposit addresses were still emptied hours later, with funds tracked across 11 chains totaling $48.6 million. I think this discrepancy between the official statement and the on-chain records deserves more attention than just the words "under control."
📌 Using this incident to explain a concept to newcomers: custody risk is not the same as market risk. Stop-loss can handle price fluctuations but cannot prevent custody addresses from being hacked; involving multiple chains also means verification cannot focus on just one chain. To illustrate with this example, the $48.6 million is the amount of funds tracked across 11 chains, which should not be interpreted as each chain losing that amount, nor should it be taken directly as the final loss.
What I fear most is newcomers misunderstanding "no leverage" as "funds are absolutely safe." Trading risk and custody risk must be viewed separately. If there's anything you still don't understand: why setting stop-loss can't prevent this kind of deposit address from being emptied? Leave a comment and let's discuss.Major non-farm payrolls released today, gold tends to fluctuate mainly
Yesterday's market perfectly matched the forecast: the early session stabilized and rebounded at the 4057 support, surged to 4147, then faced strong resistance at the monthly line and retreated, closing with a long upper shadow bullish candle on the daily chart, indicating intensified high-level long-short battles.
Today's daytime session is expected to prioritize high-level oscillation and recovery. The non-farm payrolls will be released in the evening, and the news is likely to cause back-and-forth shakeouts. Avoid betting on a one-sided move in advance; focus on capturing the range rhythm.
Intraday range: support at 4071, resistance at 4118, short-term trades focusing on high short and low long within the range.
Breakout plan:
If it holds above 4118, it will challenge the previous high again, facing strong resistance at 4165-4180, then continue to battle and retreat;
If it breaks below 4071, it will likely lose 4057, with downside targets at 4050 and 4015, wait for stabilization before buying the dip.
Core idea: Treat 4070–4118 as a range if not broken; follow the breakout if it occurs.
(This idea is for reference only and does not constitute investment advice$XAU #美中期选举后AI监管分歧引发行情波动 #Oklo核能供电布局距离商业化还有多远？ Oklo has already achieved the milestone of a test reactor reaching criticality, but the prototype power reactor is still stuck in the regulatory and engineering validation phase. Generating power by 2028 is an optimistic goal, and large-scale power deployment will take at least another 5 years. There are huge uncertainties in the timeline, approvals, and fuel.[Market Review] Nasdaq plunges nearly 5%, $BTC defies the trend to firmly hold the 75k strong support!
Overnight, US stocks evaporated $2.3 trillion, dragging down risk assets, but $BTC showed remarkable resilience:
1️⃣ Volume and price support: On the 4H chart, a wick between 75,000-75,400 triggered the largest recent buy volume, with a long lower shadow quickly reclaiming above 76k, and institutional limit buy orders concentrated.
2️⃣ Leverage clearing: The sharp drop washed out high-leverage longs between 78k-80k, contract open interest declined, funding rates flattened, fully releasing selling pressure.
3️⃣ Funds stayed put: USDT premium remained stable, on-exchange funds did not panic or flee.
📌 Practical plan:
• Support levels: 75k-75.5k (longs' bottom line), strong support at 72k-73k
• Resistance levels: 78.5k / 80k
• Strategy: Defend 75k and accumulate spot in batches at low prices, with strict stop-loss for contract longs set below 74.5k.The kitchen just served a boiling pot of IPO broth, and the front hall already echoed with the sound of the valuation being slashed from 2 trillion to 1.5 trillion — this isn’t just a price adjustment, it’s like swapping a whole wagyu beef for brisket and insisting the taste is more stable. Anthropic’s financial report is like an extremely complex fusion dish: year-over-year revenue surged 1127% to 16.956 billion, the appetizer was a hit, but the quarter-over-quarter growth rate plunged from 144% to 47%, showing a shaky hand when flipping the main course. Operating loss of 567 million is like knocking over the seasoning jar — the savory flavor couldn’t mask the bitterness. Even harsher is the 895.4 billion in long-term computing power and lease commitments, with 69.8 billion maturing within a year — this isn’t prepping ingredients, it’s signing futures orders for the entire cold storage, and the kitchen’s cash flow will need to be stir-fried with extra spicy chili to hold up. Institutions have pushed the valuation down to 1.5-1.6 trillion, like a seasoned diner banging the table: your signature dish is indeed delicious, but the turnover rate has dropped too fast, the kitchen bills are piling up, I need to taste a bite of profitable reduction sauce before deciding whether to give you a 2 trillion spot. The linkage of US stock Token targets is like side dishes on the same stove; the main dish’s valuation shrinks, no matter how strong the seasoning, it can’t lift the whole table’s freshness. Can revenue growth simmer into sustained profitability? Look at that high-pressure cooker of short-term debt, the valve is already hissing — if the heat isn’t right, forcibly lifting the lid will just cause oil splatters all over the wall. #anthropicipopricedebate The moment the chest cavity was opened, two coronary arteries lay side by side under the shadowless lamp: one was full and shiny with fresh blood flow, the other had darkened vessel walls with fine petechiae seeping under the intima. The market on November 4th was just such a myocardial perfusion map.
Microsoft hit a historic high, Amazon lifted up; this is the ventricular wall with a well-developed collateral circulation: even if the main trunk has plaques, the distal end can still maintain perfusion through existing microcirculation, so clamping for a few minutes won't cause cardiac arrest. The Philadelphia Semiconductor Index fell, IREN and Hut 8 came under pressure; this is the myocardial segment completely dependent on newly formed blood vessels for blood supply. Once the upstream perfusion plan is altered, it has no secondary network to compensate, and the ischemic tolerance window is measured in minutes.
After the midterm elections, the market reinterpreted the angiographic results of data center policies. Some worry that construction is restricted and new computing power supply is blocked; from the surgical perspective, this should not be understood as a demand deterioration, but rather as a temporary halt of the surgical plan: the transplanted myocardium already on the table and supplied by new projects will experience the first drop in perfusion pressure. Chip suppliers and operators relying on new projects belong to the type of tissue without collateral circulation yet, and their tolerance to ischemia is extremely low.
The cloud giants hold stock infrastructure, which is the already completed, sufficiently large-caliber, and stable-flow bypass vessels, not relying on reopening the chest in the short term. So this round is not a systemic cardiac output failure, but a regional blood flow redistribution: the blood volume hasn't decreased, it is just preferentially delivered to beds with established pathways.
What really needs attention is never the falling curve on the monitor. The curve is just a symptom, an alarm sound from the surface leads; the lesion lies in the reconstruction of the perfusion path itself, in whose blood flow is preserved and whose is silently ligated. Systolic pressure still holds, but that doesn't mean peripheral perfusion is sufficient; color, temperature, urine output, lactate—these indicators no one wants to look at—are the true records of ischemia.
The linkage of targets like $xAMD is like electrical conduction between different coronary arteries of the same heart: abnormal potentials caused by ischemia in one area propagate along the common myocardial matrix to seemingly unrelated leads. You see it’s not blocked itself, it’s just dragged into ST segment depression by repolarization abnormalities in adjacent regions. Treating this conduction as the primary lesion is the most common misjudgment.
The phrase I fear most from family members during preoperative talks is "Can we try medication to stabilize first?" Treating poor perfusion as arrhythmia, the medication makes the curve look better, but the ischemic area continues to expand, advancing from the subendocardium gradually through the wall. This heart’s ejection fraction hasn’t collapsed yet, but local ventricular wall motion has already shown segmental weakening; by the time systemic signs appear, it’s already decompensated, and all that can be done on the table is extracorporeal circulation and waiting.
After I finished the last stitch, I confirmed only one thing: this heart is not uniformly diseased, it has selectively had part of its blood supply cut off. #aistocksdiverge#How far is Oklo nuclear power deployment from commercialization?
INL Idaho Demonstration Reactor (DOE pilot channel): Optimistically can supply power by 2028, considered "demonstration-level commercialization"; standard commercial reactors for large-scale data centers like Meta and Switch (requiring full NRC license) may only deliver their first kilowatt-hour by 2030 at the earliest, with large-scale replication after 2030; currently, the overall stage is still "pre-commercialization" with no stable power sales revenue.
Key distinction between two routes, often confused:
1) INL Demonstration Reactor: follows DOE pilot, shorter regulatory path, not a standard NRC commercial license, serves to validate the full set of engineering, safety, and fuel processes, setting a template for subsequent projects.
2) Ohio Meta campus, Switch project: must obtain formal NRC commercial license, this is the true large-scale commercialization recognized by the capital market.
⏱️ Timeline breakdown (assuming smooth progress without delays):
1. Short-term milestone (INL Demonstration Reactor)
- Current: site construction ongoing; DOE has passed preliminary safety analysis (PDSA), remaining final safety analysis, readiness review, and startup approval; supporting A3F fuel plant under construction simultaneously.
- Grid connection target: 2028, to generate electricity and power sales revenue.
- Limitation: very small scale, a prototype validation project, not a rapidly replicable standardized commercial project, cannot be directly compared to Meta's large-scale power supply. Yesterday, I closed my $BTC long position around 80400, and now it really feels like I dodged a bullet.
At that time, the price rebounded from above 76000 all the way to above 81000. The market looked quite strong, and many people were waiting for it to continue surging. But the market turned around faster than flipping a page in a book, with a big bearish candle smashing the price back down to around 76000.
I don't have much to brag about; being able to exit around 80400 yesterday at least allowed me to pocket the profits I had made. After trading for so long, I increasingly feel that how much you can earn is one thing, but whether you can take the money away is another.
This drop is not just a simple technical correction.
After the US midterm elections, with the Democrats taking both houses of Congress, the market began to reassess crypto regulation and AI industry policies; then the US tech stocks faced sell-offs, the AI sector cooled down, and risk assets came under pressure. On top of that, the previous Binance security incident impacted the market, and over the past 24 hours, more than $1 billion worth of crypto derivatives positions were liquidated, delivering another heavy blow to the bulls.
Right now, I'm actually not in a hurry to enter the market.
We need to see if the support around 75500 can hold, and then look at the support near 74780. Only if the price can climb back above 78000 should we reconsider the strength of the rebound; if it continues to break down with volume, there might be more turmoil ahead.
Exiting yesterday doesn't mean I'm completely bearish; today's drop doesn't mean it's immediately a bottom-buying opportunity.
The market offers opportunities every day; there's no need to participate in every single move.
Is this a shakeout of high leverage before a new buildup, or is the rebound over and the real second bottom just beginning?Woke up to all red! BTC smashed below 80,000, ETH dropped over 7%, the truth behind 1.1 billion liquidations
Last night's market felt like a live lesson in collective misjudgment.
BTC surged to 81,000 then quickly pulled back, once dipping near 75,000; ETH followed with a drop over 7%, mainstream assets pressured in sync. Within 24 hours, about 1.1 billion worth of positions were forcibly liquidated, the vast majority being leveraged longs.
It's not a "sudden bearish dump" but a structurally fragile setup:
The recent rebound was driven by short covering, not fresh real money inflows; with macro data approaching and risk appetite shrinking, high leverage got stomped first.
On Orbit, I keep repeating three sentences:
• When sentiment is hottest, first ask "Who is buying?"
• Leverage amplifies volatility, not understanding
• Before Nonfarm, don't guess direction, just keep error tolerance
What really matters this round is not "it dropped again," but:
Narratives will shift, liquidity will turn, only position management won't betray you.
Slow down, see clearly before moving.
OKX Orbit #Web3Cognition #MacroReview #NoCallsJustReviewYesterday, the US stock market collectively plummeted, with Qualcomm alone dragging down the entire tech sector.
$SNDK $CRCL $BTC
On the surface, it looks like Qualcomm's earnings report was a disaster—profits barely met expectations, but the guidance for next quarter was terrible, with mobile business revenue dropping 26%. The stock price fell 11%, and the Philadelphia Semiconductor Index followed suit, down 34% from its June peak.
#美中期选举后AI监管分歧引发行情波动
But the real underlying reason is that after the midterm elections, the market suddenly woke up to the fact that the Democrats took control of both houses, and they will definitely clamp down hard on AI. Much of the recent bull market in US stocks was supported by AI investments, and now everyone is suddenly worried that data center construction will be slowed by regulations, leading to a direct sell-off of AI concepts.
Another factor is the collective collapse of the storage chip sector, with SanDisk, Seagate, and Micron all down more than 8%. The market is starting to worry that the storage cycle has peaked—profit margins are already at historic highs, and whether downstream demand can hold up is a big question.
In short: Qualcomm's earnings report lit the fire, Democratic AI regulatory concerns added fuel, and fears of a peak in the storage cycle pushed it further—these three things combined caused the crash.
What do you think about this tech stock correction? Is it a normal pullback in a bull market, or is it really turning bearish? A reactor is not a decorative element; it is a load-bearing wall. Placing a small modular nuclear reactor next to an AI data center is equivalent to casting an entire core tube inside an existing building, affecting the entire structural load path.
The quarterly progress from early to mid-November is what we call a pre-structural topping inspection record in my jargon. The Aurora project’s current status is very much like a supertall building that has just risen three floors above ground: the facade renderings have been displayed at the sales office for a year, the tower crane is erected, but when you enter the site, you see three things—whether the diaphragm walls have reached the bearing stratum, whether the rebar spacing has been secretly increased by the construction team, and whether anyone is monitoring the water curing period of the concrete. Nuclear safety approval is the construction permit; before the planning parameters are finalized, any floor slab can only be considered temporary support. Regulatory approval, construction progress, and cash burn correspond in engineering terms to acceptance, concealed works, and cash flow. Missing any one of these will cause the main structure to crack at some inconspicuous point.
What I am most wary of is money. Funds are not just a line item on the profit and loss statement; they are the uninterrupted water during the concrete curing period. A three-day break may not show on the surface, but at the 28-day strength test, the entire batch of components is invalidated. A company still burning cash to advance advanced reactors, if it treats every round of financing as routine progress payments, is not building a power plant but a show unit.
Looking at the equity shares on-chain, the logic is the same as when we do prefabricated modules: dividing a building’s property rights into standard parts facilitates circulation and indeed improves turnover efficiency. But the value of standard parts never depends on the cutting process; it depends on which wall they are attached to. Attached to a load-bearing wall, it is a structural component; attached to a partition wall, it is just interior decoration. The power demand of AI computing is the real foundation load this round, nuclear power supply is the column grid, and tokenization is just the curtain wall system—the curtain wall can be replaced if cracked, but if the column grid is off, the whole building must be rebuilt.
The real watershed is the grid connection date, not the financial report date. A project from design drawings to commercial operation is separated by three gates: commissioning, joint debugging, and grid acceptance. Any problem at any gate requires rescheduling the construction timeline by quarters and costs to rise exponentially. When reading update announcements, treat them like construction logs: how many cubic meters of concrete were poured this week, how many tons of rebar were tied, rather than how many letters of intent were signed. Letters of intent are called schematic renderings on drawings and do not enter structural calculations.
Diaphragm walls that have not passed acceptance can only bear loads on paper. #okloq3nuclearoutlook#ModernaQ3财报将揭示疫苗销售趋势
1. COVID-19 Vaccine (Core Business)
After the pandemic dividend fades, the COVID-19 vaccine has become a seasonal chronic disease vaccine, no longer experiencing explosive sales.
Key points to watch: the vaccination penetration rate of the new mNEXSPIKE (next-generation COVID-19 vaccine), the volume purchased by U.S. pharmacies, comparison of market share with Pfizer, and overseas government orders.
Risk factor: the continuous decline in public willingness to vaccinate is the biggest factor suppressing revenue.
2. RSV Vaccine mRESVIA (Second Growth Curve)
This is Moderna's first commercialized non-COVID vaccine, which has previously underperformed expectations in volume.
Focus on: penetration rate among the elderly, pricing, competition with rival products, and verifying whether mRNA technology can be replicated for other respiratory viruses. If RSV sales falter, the market will question its commercialization capability.
3. Combination Vaccine mCOMBRIAX (COVID-19 + Flu Combo, Long-term Focus)
A single shot that protects against both flu and COVID-19, this is the company's future core storyline. Watch orders, approval progress, and commercialization expectations to determine long-term valuation. 100 USD, I am more concerned about the "brief touch" earlier. Strategy's STRC preferred stock returned to this level, after months of the company repurchasing shares and continuously consuming cash, Saylor then shouted "We're ₿ack." I think this is a signal of sentiment repair, but it cannot yet be considered a relief of cash pressure.
If I were to write it as a strategy, I would set an observation rule: if the price can sustain above 100 USD, combined with subsequent cash flow changes, then upgrade the assessment of the financing situation. My speculation is that if cash consumption does not ease, then the price rebound may not necessarily translate into new capital allocation space.
The advantage of this rule is that it does not treat a single intraday price touch as a fundamental reversal; the drawback is that waiting for cash flow verification may be a bit slow. As a quantitative newbie, I will first resist the urge to tick the signal and continue to watch whether the price can hold and whether the cash pressure has truly eased 🤖Two giant cumulonimbus clouds are simultaneously forming over the US dollar bond market—Microsoft with $25 billion, Meta with $15 billion. The former is the first return to this airspace since 2017, the latter is the second rain-enhancing operation within six months. What’s more noteworthy is the European side: the debut of the euro bond cloud system, with a precipitation scale of 9 billion but attracting orders totaling 53 billion—water vapor flux far exceeding numerical model forecasts. This is a typical circulation feature of warm-region heavy rain: energy is not lifted by fronts but continuously transported upstream by low-level jets.
Zooming out to 50,000 feet to view the entire front: Oracle’s $20 billion dual bond issuance and Alphabet’s approximately 6 billion euro financing indicate this is not an isolated convective cell but a front stretching thousands of kilometers. Capital expenditure on intelligent computing infrastructure is that continuously northward warm and moist jet, bond issuance is its water vapor transport channel; and interest rate levels are the pressure gradient force. The greater the pressure gradient, the stronger the wind speed; once the financing cost high-pressure ridge extends westward and strengthens, the jet stream will be forced to shift, and the precipitation belt originally over the tech sector will be pushed southward overall.
Credit spreads are my most valued visibility indicator. When spreads narrow, visibility exceeds 10 kilometers, tower clearance standards are relaxed, cloud bases are high, and cloud curtains are thin; once spreads widen, visibility drops below 800 meters, all approach procedures switch to instruments, and the financing window begins to close. The current sounding curve reads: low-level warm and moist, mid-level dry and cold, with relatively large vertical wind shear—under this configuration, any disturbance can trigger strong convection, but the duration won’t be long.
As for the US stock mapping target $xIWM, treat it as an automatic buoy station on the sea surface. Buoy data always lags land radar by half a time unit, and sea surface friction reduces echo peak values—when strong echoes appear locally, buoy readings often are still slowly rising; by the time its data catches up, strong cells have mostly passed. The current batch of ultra-large bond issuances is injecting new moisture into the entire circulation field, warm advection is still transporting, pressure is still falling, and the pre-frontal warming feature is very obvious.
My conclusion is simple: this is not a clear day, it’s pre-frontal warming—the barometer is still dropping, but rain is already on the way. #microsoftmeta40bbondsIs Trump also about to run away?
A few days ago, Trump Media & Technology Group transferred 4,259 $BTC to @cryptocom, worth over 300 million dollars.
These coins are collateral for its 1 billion dollar convertible bonds, and bondholders can demand the company to repurchase with cash on November 30.
The announcement on November 2 said that if there isn't enough money, they might have to sell Bitcoin.
So it's still uncertain whether they have sold or not; they also transferred twice in May and August, and at those times they said they hadn't sold.
However, the Democrats just said they want to investigate Trump's crypto business, making this timing very delicate. #CircleQ3营收超预期，USDC链上交易量增长49% $ETH $XAU Is the US stock market cooling off? Why is it dropping so hard?
Last night, the US stock market fell with the flavor of a stock crash, with the seven giants evaporating $1.04 trillion in one day. Ironically, the day before, the Dow had just surged 1,569 points celebrating the election results. The market first celebrated the "elimination of uncertainty," then turned to find that the uncertainty had changed direction—from "who governs" to "can AI still burn money like this." Three reasons combined: ① The Democrats not only took both chambers but also won the governorships of Texas and Georgia; data center approval power lies with local authorities, and UBS estimates that about 30% of new capacity in 2028 may be delayed; ② Alphabet's earnings report put "whether AI capital expenditure can pay off" on the table for the first time, which completely ignited last night; ③ Burry's AI bubble theory returned to focus—he is watching the depreciation assumptions, with chips actually depreciating faster than the company's assumptions, making reported profits illusory. So why did BTC dive along? It's not the main character, but it is the most leveraged in the whole market. The Nasdaq dropped 5.5%, and BTC, as a high beta asset, was inevitably sold off; the AI narrative and computing power coins are on the same chain, and when the source collapses, the downstream falls; plus, yesterday it just rebounded from 75,736 to 81,185, a 7% rise in two days, and 81,000 is a strong resistance again, so profit-taking and trapped positions came out together. The result was a drop below 76,000, a 24-hour drop of over 6%, Ethereum down 8%, and 220,000 liquidations across the network. My judgment: the real problem is not political but that the valuation logic of the AI mainline is being systemically questioned for the first time, and this crack won't be fixed in a day. BTC's upper resistance at 81,000 is strong; if 78,000-79,500 doesn't hold, look to 75,700, and breaking that is 72,000. For now, not breaking 75,000 is still a good buying point! Break it and leave! #美中期选举后AI监管分歧引发行情波动 #美国中期选举：民主党赢得国会两院控制权 $BTC $SNDK $ZEC AI is still changing the world, but Wall Street has already started to settle the accounts.
On November 5th, the US stock market suffered a heavy blow:
The Nasdaq plunged 5.5%, the S&P 500 fell 4.4%, the Dow Jones dropped 3.4%, and the Russell 2000 declined 4.4%.
NVIDIA fell 9.3%, AMD plummeted 17.3%, and stocks related to chips, servers, and data centers were collectively sold off.
This time, the market is worried not only that tech stocks have become too expensive.
After the US midterm elections, data center expansions may face stricter scrutiny, coupled with uncertainties in financing costs and massive investment returns, causing optimism in the AI industry chain to waver.
In recent years, tech giants have been pouring money, scrambling for GPUs, and building data centers.
But after investing the money, when will they truly start making profits?
I don't think the AI story is over.
But the market's attitude is changing:
It used to be about who invested more; now it’s about who can actually make money.
This may be the most noteworthy change behind this round of AI tech stock declines.
$BTC $ETH $ZEC #ModernaQ3财报将揭示疫苗销售趋势
I'm just following "Eastern Reappearance" big brother; his predictions are basically all correct.
But I also did some research.
Business background: Q3 is the peak season for respiratory vaccines (COVID, RSV, flu-related). The company previously guided that revenue growth would peak at about 10% in 2026 and mentioned that about 55% of H2 revenue would fall in Q3. Costs are also improving, and cash burn is being controlled. Although still at a loss, it is easier to beat expectations (outperform) relative to forecasts. So tragic
Thursday's closing bloodbath: S&P 7353.73 (-4.36%), the worst single day since April 2025; Nasdaq Composite 24315 (-5.52%), about -11.9% from the 10/6 high, entering correction territory; Dow down about 1833 points (-3.4%).
Philadelphia Semiconductor Index reported a drop of about 9%–12%, led by AMD and Micron.
The seven giants collectively evaporated over $1 trillion, Nvidia alone lost over $440 billion in one day, closing down about 9%, turning negative for the year.
The main reason is that after the Democrats took Congress, the market is pricing in a slowdown or tighter regulation of data center/AI infrastructure.
Overnight, the List discussed whether after AI stocks, financial and healthcare sectors will be next.纳斯达克开盘跌1.5%，但真正该盯的不是指数，是杠杆ETF那排数字。 你看到的是回调，还是波动结构已经换了档？ 早上翻行情的时候，QQQ跌1.51%其实不算夸张，真正让我停住的是下面那一串：三倍做多半导体的SOXL跌15.60%，两倍做多SNDK的SNXX跌17.21%，三倍做多韩国的KORU跌15.33%，ARM单只跌10.87%。指数只是小感冒，杠杆端已经在发烧了。这个背离本身就说明，市场卖的不是"基本面变差"，而是波动率重新定价，杠杆资金被迫降速。 很多人会把这种日子读成"抄底机会"，我反而先看仓位节奏。三倍产品跌15%以上，意味着日内路径非常陡，持有者要么被动减仓，要么被追缴，抛压不是来自看空观点，而是来自风控动作。这类卖出不看估值，只看保证金，所以它往往把价格推到情绪之外的位置。这也是最容易误判的点：你以为在交易方向，其实市场在交易杠杆容量。 传导到crypto这边，逻辑不是简单的"美股跌币就跌"。QQQ和半导体是风险偏好的前端温度计，ARM这种高贝塔名字单日跌近11%，说明久期最长的成长叙事正在被压缩。BTC在这种阶段通常先跟风险资产同向，但跌幅往往更浅，因为它的持有结构里4259 BTC, worth about $340 million! Has Trump Media suddenly moved coins, really planning to sell?
On November 5, Arkham data showed that Trump Media's associated wallet transferred 4259 BTC to Crypto.com in two transactions.
These BTC were previously marked as collateral for convertible bonds.
The real focus is November 30.
According to company documents, bondholders can request a cash buyback by then. If fully exercised, the company could face about $1 billion in repayment pressure.
The documents also indicate that if refinancing and other measures fail to resolve the funding issue, the company may need to sell BTC.
But don't rush to conclusions: transferring to an exchange does not mean it has been sold.
The real test is whether Trump Media can resolve the cash pressure before November 30 without touching the Bitcoin they hold.
$BTC $ETH $ZEC $BTC 在短暂冲破81200之后快速回落，留下长上影，当前价格80444，小幅上涨0.18%。81500–82000区间抛压较重，而79000是判断这轮反弹能否持续的关键位置。重磅经济数据即将落地，这一轮上涨更像是多空扫止损，不能直接认定反转成型。 以太坊（$ETH）波动更为剧烈，从 2226 拉升至 2450，现价 2426，基本持平。这波上涨主要来自空头平仓推动，并非新资金入场，ETF 资金持续流出。如果美盘没有新增买盘跟进，杠杆带来的涨势很容易快速消散。 SOL（$SOL）则暴露了反弹的短板，即便比特币、以太坊测试前高，它依旧没能站稳 98，当前 95.57，下跌 1.16%。在普涨行情里走弱，说明资金并不愿意流向高弹性品种。 比特币、以太坊、SOL 三者走出同一个特征：上方卖压沉重，上涨偏被动。目前还不能断定行情会直接走跌，但接下来市场验证的担子已经交到多头手上。如果一轮 V 型反弹、空头挤压都没法支撑 SOL 站稳关键价位，本轮上涨的逻辑就值得谨慎审视。The storage sector has dropped, don't rush to call it cheap.
$SNDK broke the weekly support, and the storage sector is following down.
First, ask: is what’s falling the price or the expectations?
How is this number calculated: from over two thousand down to over nine hundred, a drop of more than half.
What’s falling is the story of price increases, not the market on a single day.
Who’s connected: Micron and Hynix are on the same cycle.
Good earnings reports reflect last year's accounts; institutions exit first when the cycle turns.
Looking further down, the path to destocking is longer than the path to price increases.
Treat the rebound as a bull trap for now.
Over nine hundred is not the bottom, it’s halfway up the mountain.
#USStock AI sector trend divergence: cloud service providers strengthen, data center stocks under pressure $SNDK$ZEC
I’m not chasing the hype on this wave of ZEC; first, I’m looking at the positions. Ansem said that during the pullback, the privacy narrative might be re-targeted by the market. The breaking news itself is just an opinion, not a capital flow.
OKX current price is 1314, 24-hour open at 1299.11, low at 1212.26, high at 1334.93. At midnight, a 1H candle pulled from 1226 to 1248, then from 6 to 8 AM there was continuous volume increase; at 8 AM volume was about 6.16 million contracts, OI reached $171.7 million, an increase of 8.67 million from 7 AM. Both positions and price rose together, unlike before when it was only short covering.
On the order book, above 1314.81 there are 593 contracts placed, the fee rate of 0.01% has returned to the baseline, perpetual contracts are still at a discount, so those chasing the price aren’t cheap. My judgment is simple: the narrative is warming up, positions are increasing, but it’s not yet at a level where you can blindly chase.
First, see if the new positions can hold through the pullback; don’t treat a single privacy narrative as trend confirmation.
#美中期选举后AI监管分歧引发行情波动 The US midterm elections just passed, and the top trending topic on Orbit is AI regulation and data centers.
NBC exit polls show that 76% of voters oppose building data centers in their communities, and 57% believe AI does more harm than good. The demand for computing power remains, but whether data centers can be built locally increasingly depends on the approval of residents and local authorities.
I think friends in the AI infrastructure and computing power business need to pay attention to this. New data centers are harder to approve, and electricity prices, site selection, and approval timelines all need to be recalculated. Some organizations have suggested that policy uncertainty might lead big companies to prearrange expenditures or crowd into overseas or existing parks.
To be clear, there are currently two business areas worth exploring:
1. Helping existing racks improve utilization to reduce inference costs for the same task
2. Helping projects solve issues related to power, cooling, and park site selection
These also depend on whether clients are willing to pay and if the saved costs can cover service fees. Just having AI demand isn’t enough; if projects can’t get approved, revenue won’t materialize.
Brothers, do you think this round of computing power expansion will ultimately be bottlenecked by chips, or by electricity and approvals?🤔
#美中期选举后AI监管分歧引发行情波动 Usually when people talk about depegging, the scene is always the coin price crashing down. This time it's the opposite—DAI.e on Avalanche is sold at 1.10 USD, 10% more expensive than one dollar.
Something worth one dollar selling for 1.10, my first reaction was that some pool must be broken. Then I thought, maybe it's just that on this chain it's in short supply: many want to get it, few are willing to release it, so the price got pushed up.
What I'm most curious about isn't the price, but those who actually bought in at 1.10—what are they so anxious about? The excitement on $AVAX sometimes comes from situations like this.82% of the repurchase amount is concentrated on individual bonds. Let me first do a straightforward calculation: fully utilizing the quota does not mean the entire market will trade more smoothly. The goal of this round of old debt repurchases by the U.S. Treasury is to improve the liquidity of the government bond market.
I prefer to see it as a partial unblocking rather than directly considering it a liquidity boost benefit for the crypto space. The money is focused on solving one problem; whether other bonds will benefit cannot be assumed. According to my speculation, if the improvement in trading convenience does not spread, then relying solely on the repurchase scale to expect a rebound in risk asset sentiment is a weak argument.
The cost of playing it safe may be a slower pace, while taking risks can lead to overestimating the impact of localized improvements. I choose to be more cautious and first see if the effect spreads before hastily labeling this news as a major positive. Would you wait for broader improvements, or are you willing to take some risk and be optimistic about a crypto sentiment rebound ahead of time? The October US ADP employment report lands at 21:15 tonight, with consensus pointing to a gain of 70,000 jobs. For crypto, the number matters less as a labour-market verdict than as a live input into December rate-cut expectations — and that makes it a short-term volatility trigger for $BTC and $ETH rather than a directional compass. The transmission channel runs through the dollar and Treasury yields. A print above 70,000 would likely lift both, cooling the case for near-term easing and pressurBrothers, SNDK has dropped to 840, crashing 19% in one day, but the real culprit behind this sell-off isn't in the earnings report
$SNDK $840
SNDK closed down sharply by 19.27% near 841 on Thursday, with an intraday low of 803.97. From the June peak of 2354, the pullback has exceeded 64%.
The core reason for the sell-off is the AI regulatory panic after the midterm elections. After the Democrats took both chambers, the market started pricing in tighter approvals for data centers. The Nasdaq fell nearly 5%, the Philadelphia Semiconductor Index crashed over 10%, Micron dropped 14.72%, SK Hynix fell 12.50%, and Western Digital declined 16.06%.
But there's another overlooked thunderbolt: China's Changxin Memory. As of the end of September, Changxin's customer prepayments surged to $1 billion, a 15.7-fold increase compared to the end of 2025, while also claiming to have developed 4F² architecture chips and plans to enter the HBM market. The market is indiscriminately selling off the entire memory sector.
The earnings numbers are actually solid. Q1 revenue was 11.03 billion, up 378% year-over-year, with EPS of 49.51 beating expectations. The problem lies in growth rate: quarter-over-quarter growth was only 23%, compared to 51% last quarter. Consumer-end revenue fell 29% quarter-over-quarter.
Analyst price targets are still lofty. Consensus rating is buy, with an average target price of $2176. But Wells Fargo cut the target price to 1300 and downgraded the rating to "hold."
Let's discuss in the comments: Is the 19% one-day crash of SNDK a case of overselling or is the memory cycle really at its end?👇
#美中期选举后AI监管分歧引发行情波动 When stablecoins have issues, everyone assumes they will crash downwards. This time, it's the opposite: DAI.e on the Avalanche chain has risen to about $1.10, approximately 10% above the $1 peg.
DAI.e is not the native DAI; it is a bridged version. On several active decentralized exchange liquidity pools on Avalanche, this is the price, and people are actually trading at it.
The key point is that the peg of bridged assets is never on-chain but at the redemption end of the bridge. The on-chain price is just an internal supply and demand thermometer for that chain. A 10% premium indicates one thing: more people want to get it on this chain than those willing to release it. It could be someone urgently needing to use it or the exit channel not being smooth enough. The specific reasons were not mentioned, but the direction is clear.
For holders, this is a paper profit and also a window to exit; for buyers, buying something priced at 1.10 in the pool for one dollar means losing 10% upfront and then waiting for it to return. The liquidity stratification in the $AVAX ecosystem is most exposed in times like this.
Interestingly, we call a discount an accident and a premium an opportunity. The same bridge, the same throughput issue, but changing direction turns it into two different matters.