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The AI bubble has really burst, can CRCL become a safe haven? I think it's not that simple!
I strongly agree with the honest analysis! USDC may become a tool for capital hedging, but $CRCL stock is definitely not crash insurance.
More importantly, capital flowing into USDC does not necessarily mean Circle's profits will increase. Repeated trading of existing stablecoins does not increase reserve size; if there are massive redemptions, it could actually lead to a decrease in USDC circulation.
Even if circulation grows, the decline in reserve yield caused by interest rate cuts, channel sharing, and operating costs may erode profits. I still am optimistic about Circle's long-term potential in cross-border payments, financial settlement, and AI agent payment fields, but we must distinguish between business prospects and stock valuation.
The scale of USDC determines the revenue base, net profit margin determines profit quality, and the real moat is the ability to keep making money without relying on high interest rates!
AI can tell stories, but in the end, profits have to speak!$XPL Bearish: Dropped 12.1% in one day, less than 5% away from the June historical low
OKEx spot price reported at $0.06291, down 12.1% in 24 hours, with a trading volume of $3.9 million, ranking in the top three losers. The historical low on June 11 was $0.0601
The cause was a chain liquidation on Hyperliquid on November 1, where 16 wallets held about 269 million leveraged long positions. The price was slammed from 0.0864 to 0.0694, with large chunks of longs forcibly liquidated. The HLP treasury that took over the positions lost about $556,000
OKEx contract long accounts still hold 69.8%, compared to 70.1% 24 hours ago, showing almost no withdrawal. The funding rate has turned negative to -0.0176%. With the price breaking previous lows, these longs will be the next wave of passive selling
TokenPost tracked that these wallets have financial links to the group involved in the April XPL pump of 42% followed by a 40% dump. Transfers from these addresses to exchanges will be more direct selling pressure.Single-day data vs 30-day data: How significant is the "gold content" of ETF inflows?
Today, many discussions focus on the ETF data turning positive on October 21: BTC +40.8 million, ETH +29.4 million, SOL +585,300. But when trading, you can't just look at one day.
Let's broaden the perspective:
$BTC has a 7-day net inflow of 513 million, the only one among the three major coins with a clear mid-term improvement in capital flow. The reference price is 84,500, with 85,000 as the next test level.
$ETH turned positive in a single day, but still has a 30-day net outflow of 680 million. The reference price is 2,507, and the defense pressure at 2,500 remains significant.
$SOL reference price is 108.4, with a 30-day outflow of 57.9 million. The resistance at 110 lacks sufficient turnover support, so short-term volatility is likely to increase.
Why shouldn't we be blindly optimistic about a single-day positive turn? Macro liquidity is on the verge of tightening; this ETF inflow looks more like defensive replenishment rather than a full-scale offensive.
When capital flow and macro factors are at odds, watching more and acting less is the best strategy. Whether single-day data is noise or a signal, time will tell.
For record-keeping of market conditions only, not investment advice.
#苹果Q4营收超预期，下季度毛利率指引承压
#美国10月非农前瞻：就业增长或牵动12月加息预期
#伊朗授权政府谈判，霍尔木兹重开能否提速？ Retail Price Improvement (RPI) order types are emerging in cryptocurrency exchanges, and the latest analysis of XAU order book data shows that this mechanism is quietly reshaping the market-making economy. Although RPI orders have lower execution priority and API bots cannot directly take these orders, RPI orders still attract significant market-making capital. The reason is that RPI restricts the types of counterparties that can interact with resting orders, increases matching protection, and offers special fee rates, thereby reducing adverse selection caused by arbitrage bots and high-frequency traders. Toxic Flow Problem In traditional cryptocurrency order books, market makers face continuous adverse selection. Sophisticated bots can detect stale quotes within milliseconds and snatch them away, forcing market makers to widen spreads or withdraw liquidity entirely. RPI changes this dynamic by creating an isolated pool where only specific order flows—typically retail or non-toxic flows—can interact with market maker quotes. This allows market makers to achieve more stable returns with less toxic flow, even if execution frequency or priority is lower. Depth Alone Is Not Enough RPI order book depth indicates willingness of capital to enter but does not prove that RPI has a structural advantage. To truly assess whether RPI improves market-making profitability, analysts need to compare the markout performance after RPI executions versus ordinary market maker executions—that is, the price movement following the trade. If RPI executions consistently show better markout (i.e., less adverse price movement), then the mechanism indeed🚨 Could the US Midterm Elections Be Setting Up Bitcoin’s Next Massive Move? 👀
History is showing an interesting pattern around $BTC and US midterm elections.
Look at what happened after the last three midterms:
📉 2014: Bottom formed roughly 71 days later near $170.
📉 2018: Bottom came around 39 days later near $3,200.
📉 2022: Bottom arrived just 13 days later near $15,500.
And the rallies that followed were massive:
#BTC #Bitcoin #Crypto #USMidtermElections
#DailyOrbit Good morning, crypto friends, this is Mouse's liquidation quick report
Below is the $SNXX 24-hour total network liquidation data.
The total liquidation amount for SNXX in 24 hours is: 3,786,300 USD.
Among them
The 24-hour long position liquidation amount is: 3,501,900 USD.
The 24-hour short position liquidation amount is: 284,400 USD. The crypto circle has poured $233 million, can the midterm elections really change the game? 🗳️
#美国中期选举在即，哪些结果值得关注？
Voting takes place on November 3 local time, with all 435 House seats and 35 Senate seats up for election. The impact on the market is threefold: short-term sentiment, mid-term dollar and interest rate expectations, and long-term legislation. The conclusion upfront: short-term can suppress sentiment but can't change the trend; long-term can truly change the fate of the crypto world.
Polls show Democrats leading in seven key Senate races, but many are still within the margin of error, so who controls Congress remains uncertain; fiscal, regulatory personnel, and digital asset legislation will all shift with the landscape, and institutional risk appetite will transmit from this line to the market. As of October 23, crypto companies have donated about $233 million.
Looking at mainstream coins: BTC is around 76,777, positions increased by 1.00% in one day, liquidations at 90.87 million; ETH near 2,248, SOL near 92, both moving downward; ZEC is the worst, down 10.64% in one day, positions down 8.54%, price drop and position withdrawal happening simultaneously. Overall network positions dropped 1.76%, but volume surged to 175.4 billion, an 84.54% increase, money is just changing hands, not entering the market; longs and shorts are 48.8% to 51.2%, no one is betting on a direction.
Looking ahead to results: results will come out gradually Wednesday morning Beijing time, the landscape will become clear, and legislative expectations will first set the price for BTC; if it's a stalemate, only news-driven spikes remain, and positions not returning to normal are false moves. The only move now: lighten positions, don't be itchy-handed, wait until results and positions align before following. Do you think it will end with a bullish realization or just a lot of noise? 🤔Last night, the US economic data was actually good, but the US stock market did not strengthen because of it. The Nasdaq closed down 1.07%, the S&P 500 down 0.51%, Intel down 8.8%, and Oracle down nearly 9%. The issue of AI investment returns in tech stocks is still fermenting. For BTC and ETH, this indicates that risk appetite has not quickly recovered just because the economic data improved. ① US manufacturing exceeded expectations, but inflationary pressure has not disappeared. The October ISM Manufacturing PMI released early today Beijing time reached 55.5, higher than the market expectation of 54.5, and the production index rose to 59.0. However, although the price index fell from 77.9 to 75.2, it remains at a high level. My understanding is that the US economy is resilient, but the Federal Reserve may not have reason to rush to ease. If price pressures continue to decline, it is good for risk assets; if inflation accelerates again, US Treasury yields and the dollar may continue to suppress the crypto space. ② AI tech stocks continue to adjust, BTC may be indirectly affected. Last night Oracle was pressured due to financing plans, and the semiconductor sector also saw a significant decline. The problem is no longer just whether companies are profitable, but the market has begun to recalculate the returns on huge AI investments. If tech stocks continue to de-rate, leveraged funds may simultaneously reduce exposure to other risk assets. But this does not necessarily mean BTC will fall; the key is still to see the crypto market's own spot buying demand. ③ Exchange security incidents enter the trust repair phase. The involved exchange announced on November 2 partial proof of reserves, claiming that the related assets are supported at least 1:1, andA 36x forward P/E ratio — what I see is not how stable Apple is, but that this "stability" is already priced at a premium. In the material, Apple returns to the top of the market cap rankings by restraining capital expenditures and maintaining solid cash flow; the earnings report beat expectations but did not lead to after-hours gains. I think the biggest risk right now is not that the company is weak, but that the odds for good companies have thinned.
I tend to separate operational risk from valuation risk. Spending less can ease market concerns about AI investment returns, but it cannot justify a high valuation. My guess is: if future growth can continue to exceed already elevated expectations, then this premium is justified; if it just delivers steady results, then even a high probability of meeting earnings may not yield good returns.
So I wouldn’t equate a "safe haven" directly with low risk. Facing a structure like Apple’s, which is expensive with little margin for error, do people value the probability of earnings delivery more, or the odds left by the valuation?Manufacturing’s 55.5 PMI beat expectations, but the 75.2 prices index keeps inflation pressure visible. With a December hike carrying roughly 70% odds, the jobs report may matter most if modest payroll growth arrives alongside stable unemployment. That combination could keep rate expectations sensitive without settling the policy debate.
#USJobsReportInFocus $BTC is tugging back and forth between 76800 and 78000, $ETH barely holding at 2254, with nearly 390 million liquidated in 24 hours, bulls accounting for almost 70%, and leverage taking hits again. But strangely, after Binance was hacked, money moved to cold wallets, while ETFs are flowing out; neither side is giving ground. $NEAR dropped over 6%, with leveraged funds withdrawing more decisively than the big brothers.
The US semiconductor stocks are really getting hit hard; the PHLX Semiconductor Index fell 3.37%, Lumentum plunged 18%, and Marvell dropped over 12%, with the two companies evaporating 36 billion USD in one day. Yet the Dow Jones is actually in the green, money hasn’t fled, it just shifted from chips into consumer and energy sectors.
At midday in the A-share market, the STAR 50 index fell 2.54%, but AI webcomics and short dramas continue a surge of daily limit-ups, with Wintour hitting 5 limit-ups in 6 days, though turnover shrank by 147.5 billion. The Hong Kong stock Hang Seng Tech is rising, but southbound funds have net sold for 14 consecutive days, the index is red but money is withdrawing.
Looking around, no one is truly crashing; everyone is just relocating their positions, and becoming more selective about where they squat. Today's capital flow is more worth watching than the candlestick chart. BTC and ETH both show synchronized outflows in spot and futures, while only SOL shows spot inflows, indicating a clear structural divergence among the three.
BTC｜Futures net outflow of $194 million, spot net outflow of $76.36 million. Both sides are retreating simultaneously, indicating that funds remain cautious. The short-term rebound looks more like a zero-sum game and cannot yet be considered a trend reversal.
ETH｜Futures net outflow of $95.69 million, spot net outflow of $114 million. Spot selling pressure even exceeds futures, indicating that ETH is not simply deleveraging but overall reducing positions, making its structure the weakest among the three.
SOL｜Futures net outflow of $79.49 million, but spot net inflow of $8.84 million. Leveraged funds are withdrawing while spot funds are taking over, showing a structure clearly stronger than BTC and ETH. However, the inflow scale is still small and can only be seen as localized support for now, insufficient to confirm a strengthening trend.
Overall, the market is still deleveraging. SOL is relatively resilient, BTC is waiting for capital to return, and ETH remains weak. Chasing gains now is not very meaningful; first, watch if spot outflows can narrow.$CL
From 101.13 down to 95.26. WTI crude oil's 24-hour high and low, nearly a six-point difference in between. Currently at 96.8, down 4%.
The timing matches. There was breaking news this morning; US media reported a limited strike by the US on Iran's Qeshm Island. According to the usual script, such news should push oil prices up. In reality, it opened higher briefly, then dropped all the way down.
On the other hand, on Hyperliquid, a giant whale is holding a 10x leveraged long crude position, with holdings of $147 million, and the breaking news says he is floating a loss of $954,900.
I did some math. $147 million at 10x leverage means a margin of over $14 million, and $950,000 accounts for just over six points. Sounds scary, but it's still far from liquidation; this position can withstand another 10% drop in oil prices.
The geopolitical premium didn't hold this time. The market is trading on demand, not missiles. I don't have oil on hand, won't chase shorts or bottom fish, will wait to test that low of 95.26 again to see if anyone steps in.
#美国中期选举在即，哪些结果值得关注？ $ETH
Two chain news this morning, but the directions are opposite. One says a giant whale, silent for 22 days, sold $8.18 million worth of BTC and ETH, while the other says a hacker who stole €106 million from the EU bought 27,500 ETH into their own address yesterday.
At the current price of 2252, 27,500 ETH equals $62 million, which is seven and a half times that $8.18 million.
But ETH didn’t rise. In 24 hours, it dropped from 2308 to 2252, down 2.4%, with a low of 2237, now just above the low point. Spot trading volume for the day is $271 million.
I calculated that $62 million thrown into a daily volume of $270 million is less than half a day’s volume. For a buy order of this size, theoretically the market should jump, but there wasn’t even a shadow left. Either it was eaten slowly in batches, or it wasn’t bought on the spot market at all.
I treat large on-chain transfers as clues, not signals. If you really want to follow, look at the fees — currently still positive 0.01%, bulls are paying, and with open interest at 1.448 billion, no one is closing positions. If you haven’t chosen a direction, don’t choose one for it.
#美国中期选举在即，哪些结果值得关注？ Attention! There might be an interesting pattern between the US midterm elections and the historical trend of $BTC.
Looking back at the performance after the last three midterm elections:
2014: Bottomed about 71 days later, price around $170.
2018: Bottomed about 39 days later, price around $3,200.
2022: Bottomed about 13 days later, price around $15,500.
From these lows, the subsequent gains were:
$170 → $20,000, over 100 times
$3,200 → $64,000, about 20 times
$15,500 #苹果Q4营收超预期，下季度毛利率指引承压 Apple’s Q4 revenue and profit exceeded expectations, proving the resilience of the iPhone and hardware fundamentals, with consumer demand not slowing down; however, the weaker gross margin guidance for the next quarter is the real signal in this earnings report—Apple is paying for AI. The rise in storage chip prices is a short-term external disturbance, while the increased computing power and R&D costs for Siri’s large models and edge AI represent medium- to long-term rigid expenditures.
For a period going forward, Apple will be in a contradictory phase: hardware sales support revenue, while continuous AI investment keeps eroding profit margins. In the short term, the stock price is easily boosted by better-than-expected revenue, but valuation is unlikely to keep rising; to lift gross margins again, either AI features must convert into enough paid value-added services to drive high-margin service revenue, or product price increases must absorb costs—both paths are challenging.When I see news about "successfully avoiding the drop," it always feels like the market is like a leaking office: some people leave work early and become legends, while some desks have wet computers, and others just a drop, but the headline calls them all "soaked rats" 😂
According to on-chain analyst Ai Yi, after Arthur Hayes liquidated altcoin assets on October 24, the related tokens all declined in this round: $ENA down 13.77%, ETHFI down 11.87%, ETH down 4.96%, UNI down 0.28%. What I find truly informative is the divergence in the drop percentages, not the celebrity halo.
The same batch of liquidated assets performing so differently afterward shows that summarizing with "altcoins dropped" hides the differences among specific assets; a single successful avoidance of a drop is not enough to prove timing skills can be replicated. Studying new market trends based on celebrities' past moves can easily lead you astray. Do you stand by "this time the timing was great" or "asset divergence is more important"? Choose one, don’t just keep handing attendance awards to those who left work early.DOGE is currently trading around $0.075 to $0.076, having declined for five consecutive weeks, waiting for direction within an extremely compressed range. Technically, it is a "golden cross, but not yet strong." The 4-hour MACD indeed shows a golden cross, RSI is 44.83, but the price remains below EMA50 and EMA200, MA5 is below MA20, and the Bollinger Bands have narrowed to less than 2%. The most concerning news is that "small money is coming in, big money is going out." The US spot DOGE ETF has had net inflows for three consecutive weeks, but last week only $327,000, totaling about $3.5 million over three weeks, with assets increasing from $12 million to $16.9 million—the direction is correct, but the volume is almost negligible. The real weight lies with the whales: wallets holding 10 million to 100 million DOGE have reduced their holdings by about 120 million DOGE since last Thursday, while smaller whales have increased holdings by about 100 million DOGE in the same period. Large holders are distributing, small holders are receiving, but buying pressure is insufficient to offset selling pressure. Spot net outflow is about $57 million over the week, with the price dropping 8.9%. The contract side is even more conflicted: the ratio of long to short large accounts is 3.24, with 76.4% of accounts holding long positions, yet 76% of liquidations in the past 24 hours are shorts—positions are heavily skewed to the long side, but shorts are being squeezed. Under this structure, shorting is not cost-effective, but going long also lacks spot support. The daily close direction at $0.068 is much more honest than the 4-hour golden cross. ETFs are inflowing but too small, big whales are selling, contract positions are long-biased but prices are not rising—DOGE now lacks not signals, but real buying pressure.24h liquidations hit 380 million!
80% are long positions, is the main force "killing" or "giving away money"?
Just glanced at the data, it's too real. 📉
Simply put, three points:
1. Targeted liquidation: 380 million liquidated across the network in 24 hours, 300 million of which are longs! BTC is especially hard hit, with 67 million dollars in long positions wiped out. The main force didn’t really dump the market; they completed the shakeout just by "killing longs."
2. Contrarian signal: When 80% of liquidations come from longs, it means those wanting to sell have been forced to sell out. This is usually a short-term bottom signal—bloodied chips have been taken away, is a rebound far behind?
3. Don’t catch a falling knife: The sentiment is still at freezing point, so don’t rush to bottom-fish. Wait until volume shrinks to the extreme and longs are completely discouraged—that’s when it’s time to pick up bargains.
Living long is more important than making quick profits. 💪
$BTC $ETH $SOL Apple's capital expenditure is relatively restrained, and this is the detail I care about the most. The frugal camp vs. the investment camp, this time the former has become a safe haven for funds. According to the material, Apple has returned to being the most valuable company by market cap, but despite revenue and net profit exceeding expectations in the earnings report, the stock price still fell after hours.
I think this is a phase victory for the cash flow logic, not evidence that "spending less on AI means winning." The investment camp is currently facing the fact that money is spent but returns are yet to come; the frugal camp lacks this anxiety but cannot prove future competitiveness simply by restrained investment. If the market later values AI product realization more, I speculate that the evaluation criteria for the two camps will change.
Therefore, I see AI-related narratives separating "spending less money" from "producing results," and the former cannot be directly equated with the latter. Do you side more with Apple's restrained investment camp, or are you willing to wait for returns from the heavy investment camp? What kind of product progress would make you switch sides? The AI sector fell 4.71% in 24 hours. To pour some cold water first: I am bearish, but I don't agree with condemning the AI narrative just based on this one drop. Other sectors also declined, and some coins within AI actually rose against the trend. I think this news is easily misread as the entire sector having problems.
My reasoning is simple: In a general market decline, sector drops may just reflect a contraction in risk appetite and cannot be directly attributed to the sector losing appeal; moreover, sector gains and losses are not uniform, and the average decline can mask differences. For ordinary users, applying an industry judgment directly to each coin is more likely to cause pitfalls than misreading a single day's market.
Of course, the bears might be right. If the overall market stabilizes later but the AI sector continues to weaken and the range of weakness expands, I would be more inclined to think it's a problem inherent to the sector itself. For now, I treat it as a risk signal and am not in a hurry to call it a trend conclusion.$BTC is stuck just above 77,000, $ETH is compressed at 2254, with nearly 390 million cleared in 24 hours; bulls hold almost 70%, while leverage is taking hits at the bottom. CME shorts have piled up $2.2 billion, cold wallets are hoarding, but ETFs are flowing out, both sides just staring at each other.
The US semiconductor sector is really suffering; the Philadelphia Semiconductor Index fell 3.37%, Marvell, with a $115 billion acquisition, was slammed down 12.72%, Lumentum dropped straight 18%, evaporating $36 billion in two days. Yet the Dow Jones is surprisingly in the green, money hasn't fled, just shifted from chips to energy and consumer sectors.
The A-share market is playing a different script, with turnover hitting 1.78 trillion, over 4600 stocks in the green, a surge of limit-ups in media, short dramas, and gaming; domestic main funds pumped in 11.7 billion, the STAR 50 index soared over 3 points. The Hong Kong stock market's Hang Seng Tech also bounced 2.25%, Xiaomi surged 6%, but southbound funds net sold 4.469 billion on the same day, marking the 14th consecutive day of outflows, the index is red but money is withdrawing.
Looking around, no one is truly panicking; the crypto circle is taking leverage hits, US stocks are killing chips, A-shares are speculating on policies, Hong Kong stocks are holding liquidity — everyone is doing their own thing, no one plans to sync with others. This is somewhat interesting, but I'll put the brakes on myself first: AI is being used aggressively, and there is real demand for AI-related small tokens, but there are still several hurdles in between.👀
YC CEO Garry Tan stated that he spends $100,000 to $200,000 annually on AI agent Tokens, and the agent has accessed all his emails, Dropbox, and Apple Notes. He also publicly released the toolset gstack, which includes 23 Claude Code skills.
I tend to see this as an emotional catalyst for the AI agent narrative rather than a fundamental positive for related small tokens. The Tokens here refer to model usage, not cryptocurrencies; the public release of tools helps others experiment, but whether it can generate on-chain demand, the material does not answer. Highly volatile assets might exploit this topic, with the risk being mistaking tool popularity for token demand.
My observation sequence is: first, is there an on-chain use case, then whether the token is necessary, and not getting excited chasing large bills. Around AI agents, are people recently focusing on computing power, privacy, or on-chain payment tracks?The US midterms are being framed as a crypto referendum, but that framing gets the transmission mechanism backwards. Washington does not vote on token prices. It votes on three things that reach crypto indirectly: control of the two chambers, the fate of the stalled Clarity Act, and the regulatory perimeter that separates $BTC from $ETH. Watch those three ballots and the slogans become noise. Ballot one is congressional control. The House is seen as likely to flip Democratic, while the Senate re$AAPL $BTC
Apple's revenue exceeds expectations! But in this costly AI battle, can Apple really stay unscathed?
Apple's Q4 revenue reached $114.48 billion, a 12% year-over-year increase, surpassing market expectations. iPhone sales grew 17%, Mac sales grew 24%, a very impressive report card.
But what worries me more is the cost side. Although Apple hasn't followed the giants in wildly spending on AI data centers, it can't avoid the storage chip price hikes brought by the AI boom, so hardware costs may remain under pressure.
Revenue growth is one thing; whether profits can keep up is the real test. The focus next is on gross margin and holiday quarter guidance—these two data points are key to determining Apple's future trajectory.
#苹果Q4营收超预期，下季度毛利率指引承压 #美国中期选举在即，哪些结果值得关注？
From a statistical perspective, the probability of a stock market rise after the U.S. midterm elections is surprisingly high, but the core logic driving the increase is not "who won the election," but rather the interplay of "uncertainty dissipating" and the macroeconomic cycle.
Since the end of World War II, historical statistics of the U.S. stock market show a very distinct pattern after midterm elections:
An almost 100% positive return rate: In every midterm election since 1946, the S&P 500 index has without exception recorded positive returns within 12 months after election day, achieving 20 wins and 0 losses.
The average increase of the S&P 500 one year after the election is about 14% to 15%, significantly higher than the historical average return of about 8% to 9% in normal years.
Midterm election years often show a "low first, high later" trend. The market tends to be volatile and adjust during the first three quarters due to election battles and policy uncertainty, while the fourth quarter usually sees a strong "unloading rebound."
Before the election dust settles, the market must price in and defend against various extreme possibilities such as tax increases, antitrust actions, trade barriers, or subsidy cuts.
Historical data shows the market often prefers a "divided government" where the White House and Congress are controlled by different parties.
The third year of a U.S. president's term is often the most intensive year for economic stimulus or policy stabilization. To build momentum for re-election in the presidential election two years later, the ruling team usually strives to avoid a hard economic landing. Today $BTC returned to around 76,500, just a few hundred dollars above the average cost of short-term holders at 76,000.
I think this line is the key level to watch this week. Glassnode's short-term holder MVRV is currently about 1.02, meaning those who entered in the last 5 months have only made around 2% profit overall. If it holds, they can still hold on; if it breaks, a batch of people will simultaneously turn to unrealized losses, and selling pressure might be heavier than the chart suggests.
Looking at several numbers together: CoinGecko shows BTC down about 2% in 24 hours, ETH weakening around 2250; last Friday, the US spot BTC ETF saw a net outflow of $643 million, the largest single-day outflow since June; today is the US midterm election voting day, adding to macro uncertainty.
My judgment: Unless 76,000 holds and $BTC retakes 81,000–82,000, I expect a weak oscillation and won’t chase rebounds; if the daily close is below 76,000, the next support zone I see is 73,000–74,000. I’m holding my spot without moving or adding leverage.
Are you more concerned about the 76,000 level this week or the midterm election results?The day before the U.S. midterm elections, the implied probability of congressional control on Polymarket jumped by 10 percentage points. This is a significant move, indicating real money is repricing the market. What's even more interesting is the subsequent action: a cross-market trader first invested $84,200 betting on the congressional control outcome, then about 6 hours later established a new directional position on Hyperliquid, while keeping the original million-dollar contract position intact.
Looking at these three steps together, the logic is clear. The first purchase is on the event outcome, the second on the price path, and the third is holding the base position steady. The same person taking three directions might seem like a split personality, but in reality, they are separating the outcome and volatility to sell them.
The mechanism is not complicated. Event contract odds are discrete, only win or lose; perpetual prices are continuous and can oscillate repeatedly to shake out traders. The result may come out overnight, but the price will swing back and forth first. Those betting on the result fear guessing wrong, while those trading contracts fear being stopped out; their pain points differ, allowing the same money to profit on both sides simultaneously.
My judgment is: the more of this kind of hedging there is, the less confidence big money has in a one-sided market. They are not unaware of the direction, but they don't want to bear path risk before the result is out. $BTC and $ETH are most prone to false breakouts during such windows, with many spikes and few sustained moves.
What’s worth considering is: when everyone learns to bet on both sides, pricing in the two markets will suppress each other, and volatility will be consumed in advance. The opportunity may not be on election night, but during the concentrated closing period after the result is announced. In the futures market, good news often leads to a drop; a common explanation is that expectations have already been priced in too fully. I think this is the case with Apple's news: its market value returned to the top globally, once surpassing $5 trillion, with revenue and net profit beating expectations, yet it dropped over 4% after hours.
My judgment is that this is more like a stress test on valuation tolerance, and shouldn't be directly taken as negative for the crypto market. Apple's forward P/E ratio has reached 36 times, so even good results may not be enough to satisfy; it attracts safe-haven funds through cash flow and restrained capital expenditure, indicating that capital is seeking certainty. The crypto market is different—many assets lack verifiable profit anchors, and if this kind of selectiveness spreads, I speculate that sectors relying purely on narratives will find it harder to earn a premium.
I still prefer to separate "whether a company is good" from "whether the price is expensive"; a safe haven is not a guarantee against declines. Are there friends who have also transitioned from traditional markets? When you encounter earnings that beat expectations but the price falls, do you first check valuation or first look at capital flow?Such a big event, and Ethereum only dropped 4%.
Tom Lee said: So resilient, the bull market is secure.
This statement has been spreading wildly these past two days; he’s bullish again and again.
He compared it to the last time Bybit was hacked.
Last time, 1.5 billion was stolen.
Ethereum dropped 8% that day, and a full 20% over the week.
This time, the drop is indeed much smaller.
But that 20% was over an entire week.
This 4% is just over a few days.
To put it plainly: comparing someone’s weekly test score to your own daily test.
There’s more he didn’t say.
In the month before the hack, Ethereum had already dropped 17% on its own.
This 4% drop isn’t from the peak, but continuing the slide from halfway down the mountain.
And one more layer.
He’s bullish, and his company was still buying on the same day.
They already hold 6.06 million ETH.
How much you trust that, you decide.
Don’t rush to believe “the bull market is secure.”
Wait a full week, then compare week-over-week again.
That’s when the numbers really count.I prefer to use this message to explain "diversifying risk" to newcomers rather than guessing the next move of big players. According to PANews citing on-chain monitoring, Arthur Hayes liquidated his position on October 24, avoiding this round of decline; during this period, ENA dropped 13.77%, ETH fell 4.96%, and UNI decreased 0.28%.
📌 I believe holding multiple coins does not necessarily mean the risk is diversified. Take $ENA as an example, it fell from $0.196 to $0.169, while UNI's decline was very small during the same period: the drawdown endured for the same position size is different. Looking at the direction, these coins are all falling; if the holdings are impacted together by the market downturn, then having more coins might just be splitting the same kind of risk into parts.
A common misconception among newcomers is feeling safe by counting the number of coins without considering volatility and shared risks. As for this liquidation, avoiding the drop after the fact does not mean the signal was replicable beforehand. I remind myself: first see what the portfolio fears, then see what others are buying or selling.After reading, I noted three things. I prefer to interpret this message as a change in the stablecoin structure rather than labeling the entire market as bearish.
1. DefiLlama data shows that the total circulating supply of USD stablecoins across the network is about $298.7 billion, down $3.779 billion from a week ago but up $33.6 million from a day ago. My judgment is that the weekly contraction signal still exists; the single-day rebound is insufficient to prove that the capital direction has reversed. These two time windows should not be mixed.
2. The decrease is uneven: USDT decreased by $2.998 billion over the week, while USDC increased by $71.82 million. The former accounts for the majority of the total decline, so I will prioritize tracking whether the contraction continues to concentrate on USDT rather than assuming all stablecoins are bleeding simultaneously just because the total volume dropped.
3. I am used to separating "circulating supply" from "whether purchasing power is entering the market." The presence of stablecoins on-chain does not mean they will immediately be used to buy coins. If the total supply rebounds later and on-chain trading activity improves, I would be more inclined to interpret it as a recovery in capital participation willingness. This is my speculation, not a conclusion already provided by this data set.
My summary conclusion is: analyze the structure first, then discuss sentiment; what would you add as a fourth point? To judge the impact of this contraction, which data would you look at together?$BTC is stuck near 76800, $ETH is compressed at 2254, with 389 million cleared in 24 hours. Bulls hold nearly 70% of BTC, while leverage is taking hits at the bottom. The AI sector dropped nearly 5 points, Layer2 and DeFi also slid down, but while ETFs are pulling money out, cold wallets are buying, so the price hasn't collapsed completely.
The US semiconductor stocks are really getting hit hard; the Philly Semiconductor Index fell 3.37%, Lumentum plunged 18%, and Marvell dropped over 12%, evaporating 36 billion USD in two days. Yet the Dow Jones is surprisingly in the green, Chinese concept stocks like Golden Dragon rose over 2 points, with Alibaba and Bilibili floating.
The A-share market is following a different script: media saw 11.7 billion yuan of main force inflows in one day, short dramas and games hit daily limit up waves, turnover reached 1.78 trillion yuan, and over 4600 stocks turned positive. The Hong Kong stock market's Henderson Land also bounced over 2 points, Xiaomi surged 6%, but southbound funds withdrew 4.4 billion yuan the same day, marking the 14th consecutive day of net selling, with the index retreating despite being in the green.
Looking around, no one is truly panicking. The crypto market is taking leverage hits, US stocks are killing chips, A-shares are speculating on policies, and Hong Kong stocks are holding liquidity. Everyone is playing their own game, with no intention to synchronize with others. S1Quant Employment Data and BTC Macro Briefing
1. Tonight's Employment Data: Distinguishing Between "Vacancies" and "Hires"
The U.S. Bureau of Labor Statistics calendar shows that the September JOLTS report is scheduled for release tonight at 23:00 Beijing time. A key new focus is on the statistical definitions: job vacancies measure positions still unfilled on the last working day of the month, while hires count the number of people added to payrolls throughout the month. The former is a stock at a point in time, the latter is a flow over the month; a decrease in vacancies should not be directly equated to an equal number of layoffs.
2. What Use Is This for BTC Analysis?
Editorial observation: A decline in vacancies may result from positions being filled or from companies withdrawing hiring demands; it is necessary to consider hiring, separations, and other factors to distinguish. Different interpretations have different implications for growth and interest rate expectations, so the total vacancy number alone cannot be used to infer BTC direction. The current results have not yet been released, and the morning price rebound cannot be attributed to this forthcoming data.
Source: OKX "Spot Market Interface," snapshot at 09:54:02 on November 3, 2026; U.S. Bureau of Labor Statistics "November 2026 Release Calendar" and "JOLTS Data Definitions," verified November 3.Conclusion first: $PIEVERSE bucked the trend today with a +7.1% gain amid 224 coins dropping, but I'm more focused on its volume and ledger.
Narrative first: Pieverse embeds AI agents into Line, Kakao, WhatsApp, with keys generated inside TEE. Agents pay each other gas-free using x402, compatible with Claude Code and OpenClaw (CoinDesk reported the Purr-Fect Claw launch in March). True. But by comparison: XRP Ledger disclosed 14.9 million AI payments yesterday, with settlement amounts under $50,000—number of transactions doesn’t equal money.
Today's volume: At 10 o'clock, the 1-hour trading volume hit $2.34 million, 29 times the previous hour’s median of $80,000; open interest rose from 3.26 million to 3.9 million, +19.8%, indicating new longs entering, not shorts covering.
The wallet: OKX’s 1,211 spot pairs don’t include PIEVERSE, only perpetuals; funding rate has been pinned at the 0.00005 floor for 8 consecutive periods, longs keep paying; circulating supply is only 27.5%, FDV of 1.15 billion is 3.6 times the market cap of 317 million.
Do you think the AI agent narrative justifies this FDV?🔥 $BTC US midterm elections and the historical trend of $BTC, brothers take a look 🔥🔥🔥
Reviewing the performance after the past three midterm elections:
👉2014: Bottomed about 71 days later, price around $170.
👉2018: Bottomed about 39 days later, price around $3,200.
👉2022: Bottomed about 13 days later, price around $15,500.
From these lows, the subsequent gains reached:
🚀 $170 → $20,000, over 100 times
🚀 $3,200 → $64,000, about 20 times
🚀 $15,500 → $126,000, about 8 times
An interesting detail: the time to bottom each time got shorter, being 71 days, 39 days, and 13 days respectively.
Historically, the most panic in the market often also breeds the opportunity for the next cycle.
This time, will $BTC repeat this pattern? 👀#苹果Q4营收超预期，下季度毛利率指引承压 #闪迪业绩超预期并宣布拆股，股价跌逾13%
SanDisk SNDK is a NAND strong cycle stock tied to AI demand. The latest Q1 results were impressive, with high growth in the data center business, but the consumer side remains weak. Growth heavily depends on long-term enterprise flash contracts, with a strong Q2 guidance. The stock's core battle is whether the flash price upcycle can continue. Currently, high gross margins are driven by price increases; once supply expands and prices weaken, profitability will quickly decline. It also faces competition pressure from Samsung, Micron, and Kioxia. This stock is a high-beta storage asset, often experiencing pullbacks after positive news is realized. Going forward, key focus areas include NAND contract prices, gross margins, and cloud vendors' capital expenditures. The sector is highly correlated, with significant volatility risk.Can the $DOGE midterm election topic continue to support DOGE's community premium? Political events often bring short-term discussions and meme asset volatility, but community buzz does not equal new cash flow. If spot trading is dispersed and the holding structure is healthy, the hype may turn into phased demand. The opposing view is that attention quickly fades after the news settles; if the rise mainly relies on contract leverage, the risk of pullback will increase. I will observe whether trading depth remains after the hype subsides and whether active users are widespread, rather than just looking at the number of posts. To further confirm, I will separate the impact of news, capital flow, and real usage for examination; only if at least two of these maintain the same direction across multiple periods will I adjust the midterm judgment. If only short-term price or a single indicator changes, I will remain cautious and wait for subsequent data. The $115 billion acquisition was just announced, and both buyer and seller stocks plunged on the same day.
Marvell officially announced on November 2 that it will acquire Lumentum in an all-stock deal valued at $115 billion, implying $1,132 per share.
The exchange ratio is 1 share for 4.5 shares, with Marvell's existing shareholders owning about 67% of the combined company and Lumentum shareholders about 33%.
But no one applauded at the close: Marvell fell 12.72%, Lumentum dropped 18.59%.
More striking is the price gap: Lumentum closed at $684.40, $448 below the implied $1,132 price, about 40% lower.
Management said the deal won't close until the first half of 2028, pending shareholder and regulatory approvals, and if it fails due to regulatory reasons, a $3.2 billion breakup fee must be paid.
My view: The market isn't doubting demand for optical communications, but it doesn't believe this stock-for-stock deal, closing two years later, will complete at the original price. I'm watching, not chasing.
Invalidation point: If Lumentum's stock price converges near the implied price or regulators approve quickly, this "market disbelief in original price completion" judgment will be invalidated.
Do you think the price gap will narrow, or that this deal will fall through by 2028?
$MRVL $LITE
#Marvell换股收购Lumentum，加码AI光通信布局 BTC smart money position core data analysis, bulls are still under pressure, bears are numb!!!
BTC USDT perpetual smart money overview, a total of 2930 traders, nominal long-short ratio 21.82%.
Longs: 1120 traders, positions 693.03M USDT, average entry price 84895.68, deep unrealized losses, profit ratio only 7.76%.
Shorts: 1810 traders, positions 3.17B USDT, average entry price 76143.25, slight unrealized losses, profit ratio 73.14%.
Short position size far exceeds longs, this round of decline severely hit smart money bulls, bull profit share is extremely low, short-term bear advantage is obvious.
BTC support at 76000, resistance at 79000, expect a range-bound market, try not to set a big picture in the short term.
For market review reference only, does not constitute any trading advice #美国中期选举在即，哪些结果值得关注？ #苹果Q4营收超预期，下季度毛利率指引承压 #美国10月非农前瞻：就业增长或牵动12月加息预期 $BTC $ETH $SOL The AI industry chain saw a rather staggering acquisition today 😯
Marvell announced the acquisition of optical communication manufacturer Lumentum for a total transaction value of about $115 billion, with the boards of both companies having approved the agreement.
Interestingly, NVIDIA $NVDA invested $2 billion in each of these two companies this year 🧐
Marvell mainly focuses on custom AI chips and data center networking, while Lumentum provides lasers and optical communication components.
The combination targets the increasingly important high-speed interconnect market for AI computing clusters.
The timing of this deal is also quite delicate:
The capital market is questioning whether the huge capital expenditures on AI can bring sufficient returns, yet industry chain companies are still willing to bet hundreds of billions of dollars to integrate resources.
What I think is truly worth paying attention to this time is that AI infrastructure competition is extending beyond just computing chips to how to efficiently transmit data between chips.
#Marvell换股收购Lumentum，加码AI光通信布局 Big Brother Maji Faces Liquidation as a Massive $ETH Long Position Emerges! Big Brother Maji reportedly faced liquidation pressure last night. Meanwhile, he is currently holding a substantial $ETH long position of approximately 2,725 $ETH , valued at around $6.15 million. 📊 Position Details: - Asset: $ETH - Position: Long - Quantity: 2,725 $ETH - Estimated Value: $6.15 million - Leverage: 25x - Entry Price: $2,263 - Liquidation Price: $2,227 Meanwhile, $CORE continues to demonstrate impressivPalantir nearly doubled Q3 revenue, with US commercial sales overtaking government revenue and profitability adding another dimension to the growth story.
For the quarter ended Sep 30, 2026:
• Revenue: $2.313B, up 96% YoY and 20% QoQ
• US commercial revenue: $984M, up 148% YoY
• US government revenue: $953M, up 96% YoY
• GAAP operating income: $1.085B, with a 47% margin
US commercial revenue surpassed US government revenue for the first time. Both grew strongly, making this a shift in the business mix rather than evidence of shrinking government demand.
Results also beat expectations. Adjusted EPS was $0.44 versus the $0.41 LSEG estimate, while revenue exceeded the $2.18B forecast. Net income reached about $1.13B, compared with $476M a year earlier.
Contract activity presents a more measured picture:
• Total contract value closed: $2.918B, up 6% YoY
• US commercial TCV: $1.463B, up 11% YoY
• US commercial remaining deal value: $6.517B, up 79% YoY and 4% QoQ
Revenue and TCV measure different activity: revenue recognized during the quarter versus the potential lifetime value of contracts closed. The growth gap is worth monitoring, but does not by itself establish a slowdown. Remaining deal value is also not revenue already earned.
Management raised its outlook again, projecting about $2.65B in Q4 revenue and $8.53B for full-year 2026. US commercial revenue is expected to exceed $3.56B for the year.
Shares nevertheless dipped about 3% in extended trading after the release. The reaction highlights the distinction between delivering strong results and meeting the expectations embedded in a stock's valuation.
The next test is sustaining commercial expansion while replenishing the contract pipeline. Revenue growth, operating margins and deal activity together offer a fuller view of whether AI demand is translating into durable business performance.
#PalantirQ3Growth96% Palantir's revenue surged 96%, earnings report exceeded all expectations, yet the stock price still fell. What exactly does Wall Street want!!!
Today Palantir announced its Q3 earnings report, which is really impressive. Revenue reached $2.313 billion, a 96% year-over-year increase. U.S. commercial business soared 148% to $984 million, surpassing U.S. government business for the first time. The company also raised its full-year revenue forecast to about $8.53 billion.
Despite such a strong earnings report, the stock price fell nearly 3% in after-hours trading. The problem might be that market expectations for AI companies are already too high. Although revenue exploded, the total value of new contracts in U.S. commercial business showed a clear slowdown in growth. Investors are starting to worry whether the current high valuation can be sustained.
What I find most noteworthy is that AI demand has not disappeared. Palantir has even proven that enterprises are willing to spend big money on AI software. But now Wall Street seems to demand not only growth but also that growth speed must not slow down.
If even a 96% revenue surge can't push the stock price up, then we should be cautious about the upcoming earnings reports of other AI tech stocks~
Do you think Palantir is being unfairly punished by the market, or is the valuation of AI stocks really too expensive??
$PLTR #Palantir Q3營收增長96%，股價不漲反跌 Major Correction Analysis: The 78,500 Breakout Proven to be a Classic False Breakout! On November 2, the price surged to 78,735 (breaking the 78,500 resistance level), then faced massive selling pressure, plunging to 76,553 (-2,182 points). The daily Delta was -1.82 billion/16.8 billion — the most intense single-day reversal after capitulation. On the morning of November 3, the decline continued to 76,539, just +390 points above the panic low of 76,149 on October 30. Yesterday's "Wave C End" analysis was completely disproven; Wave C's decline is ongoing, and 76,149 faces a second test. 1. Dow Theory The false breakout is confirmed, and the Dow bearish trend resumes: From the Dow perspective, the November 2 high of 78,735 briefly gave the market hope of "breaking the previous high," but the day closed at 76,797, opened lower at 76,681 the next day, and hit a new low of 76,539, restoring the Dow structure of "lower highs + lower lows." Key sequence: Highs: 81,879 → 78,735 → 77,184 (three-level decline) Lows: 76,149 → 76,553 → 76,539 (lows approaching previous lows) Dow conclusion: The Dow dimension confirms the bearish trend has resumed. The 78,735 level was a "bull trap rebound top" after capitulation. A Dow-significant bottom requires "no new lows + breaking previous highs" — neither condition is currently met. 76 $BTC dropped just above 77,000, $ETH retreated to around 2,250, and the fear index slid from 37 to 26. Liquidations nearly hit 390 million, bulls accounted for almost 70%, and leverage took a hit at the bottom. But on the CME side, shorts piled up 2.2 billion, cold wallets are hoarding, and the price stubbornly didn’t collapse.
The US semiconductor sector is really miserable. Marvell’s 115 billion acquisition of Lumentum caused its own stock to drop 12%, while Lumentum plunged 18%, and the Philadelphia Semiconductor Index fell 3.37%. Yet the Dow Jones was surprisingly in the green; money didn’t flee, it just moved out of chips to other places.
The A-share market is completely ignoring this script. Domestic main funds injected 11.7 billion, over 4,600 stocks rose, the STAR 50 surged more than 3 points, and AI short dramas hit 20cm daily limit up in batches. The Hong Kong stock market’s Hengke also bounced over 2 points, Xiaomi rose over 6%, but southbound funds withdrew 4.4 billion on the same day, with the index staying green while money was pulling out.
Looking around, the crypto circle is taking leverage hits but spot markets aren’t panicking, US stocks are killing chips but the Dow is holding up, A-shares are speculating on policies, and Hong Kong stocks are holding liquidity — everyone’s doing their own thing, and no one plans to sync with anyone else.76,800 Weekly Moving Average Defense Battle! Wintermute bluntly says: The current rebound relies entirely on leverage, with no spot support. Do you dare to catch the falling knife?
🟠 $BTC (76,814): Struggling desperately at the 50-week moving average lifeline. Wintermute points out that Binance's post-event bottom fishing is mostly leveraged funds, combined with the Nasdaq dropping 1% and the fear index plummeting to 26. Once the level is effectively broken, the downside space will fully open.
🔵 $ETH (2,250): Fierce battle between bulls and bears. Hackers bought 27,500 coins against the trend, but dormant whales sold off this morning, and ETFs lost 1.6 billion in October. Retail investors are betting, institutions are withdrawing.
🟡 $OKB (108.67): Dropped nearly 3%. Although OKX had a net inflow of 440 million in 24 hours, leading the market, the token shows no signs of recovery. The platform has money but the token doesn't rise; value capture is completely broken.
Summary: BTC is hanging by a thread, ETH shows bull-bear divergence, OKB loses buying pressure. Tonight the US JOLTS data will be released. Do you think 76,800 can hold? Show your long or short positions in the comments👇
#BTC现货ETF连续流出 Bitcoin at $77K: Is It Really the Right Time to Buy the Dip? The AHR999 index has fallen below 0.45, which traditionally signals a potential accumulation zone where investors may consider gradually increasing their positions. However, history shows that the index has dropped as low as 0.03 or even 0.02 during previous bear markets. With $BTC currently around $77,000, I believe caution is still essential. Anyone considering buying at these levels should build positions gradually rather than commI've recently been a bit confused about prediction markets.
The probability of the Democrats sweeping the 2026 midterm elections and taking both the House and Senate has been marked at 90% by Kalshi, the highest in history. What does 90% mean? It basically means almost no one is willing to bet against it.
But the more this happens, the more I get suspicious. When 90% of the market is betting on one side, is it really predicting, or just confirming each other? You watch me, I watch you, and the price becomes an echo chamber of sentiment.
I don't pretend to understand macroeconomics, and I've rarely bet correctly on $BTC price movements. But when I see a number like 90%, my first reaction isn't "it's certain," but rather, "is there anyone left to take the other side of this bet?".#Palantir Financial Report Forecast: Can High Growth Justify the High Valuation