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There is a truth hidden in SpaceX's launch data that most people overlook: rockets are both products for external orders and infrastructure for their own business.
Out of 38 launches in the second quarter, 28 were internal missions, and only 10 served external customers. If all launches were treated as paid orders and multiplied by an imagined single launch price, the calculated revenue would inevitably be distorted.
This is precisely the cleverness of SpaceX — internal launches are cost expenditures at the time, but can be continuously monetized through subsequent services like Starlink. Rockets send satellites into space, and satellites then deliver networks to users, providing a channel to recover the initial investment.
Therefore, when looking at SpaceX's performance, one should not only focus on whether the number of launches breaks records. Its business logic has never been a single launch service provider, but a closed-loop ecosystem of "launch + service." Understanding this is key to grasping the underlying logic behind its high valuation. #机构资金转弱，BTC与ETH谁先迎来回流？ Overnight Review: Approximately $293 million worth of liquidations occurred across the entire network in 24 hours, with long positions accounting for nearly 64%, and over 90,000 people liquidated. However, the short-term momentum has reversed: in the past hour, short position liquidations once exceeded 97%, and on a 4-hour scale, short liquidations clearly dominate. The decline first wiped out longs, and as the rebound begins, those chasing shorts are too late to exit.
ETH saw about $93.99 million liquidated in 24 hours, with shorts around $53.85 million, significantly higher than longs. After the price returned near $2400, short squeezes intensified. The technical outlook remains weak, but the rebound doesn't need to be strong; as long as it breaks through the dense short position zone, the short-term rally will be driven by short-covering stop losses.
BTC liquidations in 24 hours were about $67.7 million, with longs and shorts roughly balanced. The price is holding near $81,000–$82,000, with $80,000 still a key support level. Resistance is seen at $83,000, and if $80,000 breaks, downward pressure will quickly increase. Macro data is relatively strong, and with the FOMC approaching, volatility could ignite at any time.
ZEC liquidations in 24 hours were about $6.08 million, with longs dominating, but shorts also took a hit in the short term. The $1070–$1090 range remains a key observation zone, and breaking below the $1000 mark is not impossible. High-volatility assets are most vulnerable to heavy chasing once the direction is perceived correctly.
The Fear and Greed Index rose from 53 back to 59, entering the "Greed" zone. Liquidations hurt, but sentiment is recovering, indicating the market is not collapsing but rotating: long leverage has been cleared, short margin has been eaten up, and survivors are placing new bets.Hello brothers and sisters, I am Coin Brother!
The support at BTC's 80,000 level and ETH's rebound at 2,500 have different underlying logics, which is worth paying close attention to.
$BTC withstood the unexpectedly high CPI data this time and did not dip into the 70,000 range; the fear and greed index has risen back into the greed zone. However, this resilience is not due to a bullish offensive; the core reason is the massive options open interest at the 80,000 strike price, with market makers passively supporting the price through Gamma hedging, which is mechanical support rather than driven by spot buying. Meanwhile, BTC spot ETFs have seen continuous net outflows in October, and ETH ETFs have experienced multiple days of redemptions. CoinShares characterizes the current market as just a volatile tug-of-war rather than a trend reversal. After options hedging expires and positions migrate, the support strength will weaken.
$ETH and $ZEC's rebound at 2,500 is merely a risk appetite recovery after overselling; the on-chain supply and demand fundamentals have not improved. The mainnet fee burn efficiency is very low, with a large amount of traffic and fees accumulating on L2s like Base. The mainnet deflation narrative has basically failed, tokens still maintain net issuance, and circulating supply continues to increase.
Going forward, focus on tracking PCE, employment data, and the direction of position migration after options expiration. Do not mistake short-term resilience for a major reversal.
#Institutional funds weaken, who will see inflows first, BTC or ETH? #SpaceX's first full quarterly report after IPO will be revealed #Netflix growth may slow, advertising business becomes a new highlight 这波$BTC 、$ETH 、$SOL 的上涨，核心不是币圈自己“变强了”，而是宏观流动性修复 + ETF/机构资金回流 + 杠杆放大共同推的。
BTC主要吃流动性预期，企业买盘和ETF资金提供边际承接，盘中一度冲上8.4万美元； ETH靠现货ETF资金回流和RWA叙事修复，弹性比BTC更大； SOL则叠加了ETF资金流入、链上活跃地址创新高、RWA和稳定币增长。
但别急着追高。这轮上涨里杠杆占比不低，CPI/PPI一扰动，就容易出现急杀和爆仓。后面盯三件事：美债收益率和通胀数据、ETF周度资金流、资金费率与未平仓合约。流动性续命，多头还有戏；一旦ETF转流出、杠杆过热，回调会来得很快。
Two short positions, one +1712.17%, the other +390.88%, with a total unrealized profit of 21.81U. This is not a bragging post about profits, but a case study on "how to survive shorting against the trend amid rebound noise." $ZEC dropped from 1695.50 to 1079.44, down 4.22% intraday, 15.39% over 7 days; $SAND was pushed down from a high of 0.06690 to 0.05826. What’s truly worth pondering is not the percentages, but that both trends experienced decent rebounds yet never managed to reclaim lost ground. First, look at $ZEC’s structure. Short opened at 1643.38, 50x leverage full position, leaving only 0.03 coins, mark price 1080.63, unrealized profit 16.88U. On the 12-hour chart, SAR is at 1203.34, with red dots above the price—this signal means: every rebound fizzled out below the SAR, bulls tried but couldn’t flip the structure. The previous low at 1071.95 is just below the current price, the most critical observation point ahead. If the price stabilizes and rebounds here, unrealized profits will be given back; if it breaks through directly, the bears’ logic will have completed its final phase. $NEAR weakened in sync to 4.743, down 2.38% intraday, 12-hour SAR at 5.335 still above price, the same script. $SAND’s path illustrates the issue even more. Short opened at 0.06311, 1000 coins, 50x leverage, mark price 0.05818, return 390.88%. Daily chart from 0.0 Chip stocks falling together easily misleads people into thinking that every business in the chip industry is deteriorating simultaneously.
But a detail worth highlighting from ASML's recently released Q3 report: revenue related to equipment services and on-site upgrades was about €3.289 billion, higher than in Q2. The company also explained that strong demand for production efficiency upgrades helped the quarterly gross margin reach 57.5%.
This revenue source is not exactly the same as simply waiting for customers to buy more new machines. Equipment already installed in wafer fabs still requires maintenance and upgrades; customers wanting to increase output from existing equipment also generate business.
I'm not saying ASML won't fall based on this, nor that service revenue is unaffected by cycles. Stock price also depends on how high the market's prior expectations were. But when everyone uses the term “AI bubble” to explain all semiconductor companies, these operational differences should not be erased.
Facing last week's sell-off, I would first break down company revenue into new equipment, existing services, or a certain type of end-demand before discussing valuation. Even with the same industry label, the dependence of cash flow on capacity expansion can vary greatly.
When stocks fall uniformly, people especially want a unified answer to avoid feeling uneasy. But making judgments shouldn't be about convenience. Service and upgrade revenue from existing equipment may not be as exciting but is more worth careful calculation than broadly shouting “chip stocks are all oversold.”
#Chip stocks rebound after eight consecutive drops, can AI trading repair it? 我是中线情报哥。
今天$ETH 虽随大盘全线上涨，但“潜在挑战”不容小觑。
ETF周流出3.2亿，双币两周共流出17.7亿。孙宇晨3600-4000刀抛售80-90% ETH转美股，大户在Hyperliquid抛售886枚且3500万空单清算。链上质押退出多于进入，月增供应8.6万枚，代币化份额降至22%，抛压与竞争加剧。
短线资金撤退、巨鲸减仓确显脆弱，但全线上涨印证底层韧性。
中线看属上涨中，核心趋势未改。
#机构资金转弱，BTC与ETH谁先迎来回流？ This week, BTC dropped 2.63%, ETFs saw a net outflow of $324.1 million over 5 days, and the Fear & Greed Index fell from 63 to 53. What exactly happened in the market over the week? Let's start with the news. Here's the weekly data arranged: On the price side, BTC is currently at $81,696, +0.43% in 24 hours, -2.63% over the past week, with a 20-day range between 79,775.1 and 87,238.3 — the lower bound was briefly breached but then recovered. On the capital side, ETFs had a 5-day net outflow of $324.1 million and a 10-day net outflow of $723.3 million, but the last two trading days saw small net inflows (+$16.2 million, +$16.3 million). On the sentiment side, the Fear & Greed Index dropped from 63 to 53. On the macro side, the US Dollar Index was at 101.84 (slightly weaker over the week), gold at 4,181.1 (+0.26%), and the S&P 500 at 7,659.44 (down 1.09% on the previous trading day). Looking at capital flows, the main theme this week was "risk assets overall under pressure, but outflows are slowing": outflows were heaviest at the start of the week (reaching $263 million in a single day), turned positive midweek, and saw small net inflows over the weekend for two consecutive days. This "fast outflow then slowing" pattern corresponds to the price action of "falling first then stabilizing." Meanwhile, gold performed relatively resiliently this week, indicating that demand for safe havens remains. The implication for BTC: the most important information this week is not the decline itself, but that "the speed of capital outflows is slowing." The decline tells us what happened in the past; the speed of capital tells us what might happen next The U.S. Commodity Futures Trading Commission (CFTC) has begun advancing the REGCAM regulatory framework, aiming to establish a clearer set of federal rules for crypto asset trading. On October 5, the CFTC released a request for comments document, and on October 13, it was published in the Federal Register, with the deadline for submitting comments set for December 14. Don't rush to celebrate yet, as this is not the final effective regulation.
This initiative focuses on retail crypto commodity trading involving leverage or margin, as well as related trading markets. The regulatory direction includes requirements such as market manipulation prevention, customer protection, and proof of reserves. It does not mean that the U.S. has fully opened spot crypto trading, nor does it imply that all platforms will immediately obtain federal regulatory qualification.
What I find most noteworthy is that the U.S. regulatory approach is shifting from disputes over enforcement boundaries to attempting to establish more specific rules. For platforms willing to comply, a clear admission path may reduce operational uncertainty; for businesses relying on high leverage and opaque information, compliance costs may also increase.
What will truly impact the industry landscape is how the final rules are written, how platforms apply, and whether the CFTC can coordinate enforcement with the SEC. If the final requirements are more lenient than expected, the industry could benefit more broadly; if the compliance threshold is significantly raised, smaller platforms will face greater pressure.#Chip stocks rebound after eight consecutive declines, can AI trading repair? After experiencing eight consecutive declines, chip stocks have seen a rebound, but it should be distinguished: this is more of an oversold correction and does not necessarily indicate a trend reversal for the AI sector.
The core reason for the previous sustained weakness is the short-term overvaluation combined with repeated inflation data, causing the market to worry that the Federal Reserve will maintain high interest rates for longer. Funds have withdrawn from the overvalued AI and chip sectors, with profit-taking concentrated, triggering continuous pullbacks.
The key point of this rebound is: first, look at the trading volume. If it is just a low-volume rebound, it is a short-covering with weak sustainability; only a volume increase represents funds flowing back.
The sector remains internally differentiated: upstream computing power chips have stronger certainty; AI application-side profit realization is weaker, limiting the rebound strength.
The macro level remains the biggest constraint. If inflation rebounds again and rate cut expectations are delayed, overvalued AI assets will continue to be under pressure.
Summary: In the short term, this is an oversold rebound and should not be directly regarded as the start of a new major upward trend. For a full recovery of the AI trading market, two major conditions need to resonate: a decline in U.S. Treasury yields and verification of corporate earnings reports. $BTC $ETH $SNDK After-hours notes: The market is bleeding, and the three brothers each have their own difficulties (｡•́︿•̀｡)
Today the market absorbed liquidity, dragging $STRK, $BCH, and $NEAR down, but their decline patterns are completely different.
$STRK: The worst, avoid for now. Plunged 11%, market cap only 478 million, but turnover/market cap ratio surged to 87%. This combination looks a bit scary: chips are turning over too fiercely, retail investors are weak in holding, it seems like someone is borrowing liquidity to dump. About 98.5% away from ATH, don’t rush to bottom-fish, stay away for now. (╥﹏╥)
$BCH: The most stable, can hold. Only slightly down 0.5% following the market, basically fully circulating, turnover/market cap ratio only 2.5%, chips relatively clean, not too crowded before. The problem is the narrative is old, mainly still depends on BTC’s mood. Can hold, but don’t expect it to suddenly tell a new story. (￣▽￣)~*
$NEAR: Wait for a pullback. Down 3%, giving back some of the previous hype gains. It’s more like a flexible position for the AI narrative, largest market cap, but unlimited inflation is a ticking time bomb; about 76.5% away from ATH. If it holds above 5, there’s hope; below 4.3, it’s meaningless.
In short: BCH can be held, NEAR wait for a pullback, avoid STRK. Just recording, not financial advice (๑•̀ㅂ•́)و✧23,000 Nvidia AI chips, buyers, money, orders—but no power.
The Daily Telegraph reported on October 18: Microsoft is terminating its lease at UK cloud provider Nscale's Essex data center. Microsoft was the main tenant, originally planning to lease 23,000 Nvidia AI chips.
The critical issue is the power grid: electricity won't be connected until the 2030s; the Norway project is also delayed by six months, with 30 megawatts running only 6.4 megawatts.
Nscale is preparing for an IPO (raising $3 billion, valued at $35 billion), but 85% of contracts depend on Microsoft and Anthropic. Revenue in the first half of the year was $140 million, with a net loss of $1.02 billion.
Peers have already suffered losses: CoreWeave dropped 25% last week.
My judgment: The market has overestimated "Microsoft scaling back AI investment"—Microsoft hasn't given a reason, it seems more like damage control at a powerless site; the $43.8 billion long-term contract remains; the market has underestimated that contracts do not equal servers, signing and powering up are separated by the power grid and construction.
Watch whether Nscale can find alternative power supply and whether the IPO will be discounted.
Failure condition: If Microsoft cuts capital expenditure guidance, then "it's not a demand issue" is wrong.
Which side are you on: scaling back investment, or avoiding powerless sites?
$MSFT
#Microsoft terminates AI data center leaseOKX teams up with the NYSE parent company to put 63 US stocks on-chain, but 9 listed companies say: Don't touch my stocks.
OKXICE is a joint venture between OKX and ICE, filing 63 tokenized stocks with the SEC on October 4 for 24/7 trading.
On October 15, notice: 9 companies including Broadcom, Verizon, UnitedHealth officially opposed, accounting for about 14%. Applied Optoelectronics explained the reasons: fear of impacting stock price and liquidity, fear of being misinterpreted as endorsement.
Nasdaq also refused to let its own stocks participate: the exemption mechanism lacks real-time best quotes, like a "shadow market."
My view: the market overestimates the impact of the 9 opposers—they only account for 14% and only block OKXICE. It underestimates Nasdaq "not joining itself": if the exchange doesn’t play along, the concerns are real.
My judgment: the big trend can’t be stopped (54 companies stayed silent), but the first batch launching in November will likely be scaled down.
Observation: after the early November window expires, will any large-cap companies follow up with opposition?
Invalidation: NVDA, Apple, Microsoft also oppose, or OKXICE delays launch, then "can’t stop it" would be wrong.
Which do you agree with more: the 9 opposers are just a minor episode; or issuers don’t buy in, making on-chain US stocks harder than expected?
$ICE
#USStocksOnChainCoolingWell, for brothers and sisters who already have enough long-term positions, if you really want to add some leverage at this position, what should you do? My suggestion is to use options because the tolerance for error is high enough. For example, I took a screenshot of a just-opened sell put. It expires in about two days, and if it doesn't fall below 80000, you can earn about 100+ dollars in interest. Essentially, it's quite similar to dual currency; the only difference is that with options, there's effectively no middleman, so you get to keep all the profits yourself.
$BTC Order Book Strength Ranking
5-minute median slippage, estimated by order book
After amplifying orders for two coins, slippage for both buying and selling increased significantly, with UNITREE showing the highest simulated slippage at the 100,000 scale.
$UNITREE simulated slippage for 10,000 scale buy/sell is 0.07%/0.07%, and for 100,000 scale is 0.45%/0.40%. This is a cost table, not a direction; simultaneous increase in cost on both buy and sell sides indicates overall thin depth.
$SOXS simulated slippage for 10,000 scale buy/sell is 0.04%/0.04%, and for 100,000 scale is 0.25%/0.23%. Depth is discontinuous at smaller scales; the 100,000 level is the real execution constraint.In the futures market, a large position isn't necessarily intimidating; it's the thin margin that makes people uneasy. I have an old habit when looking at positions: before asking how much profit can be made, I first calculate how much room is left if the price moves against the position for a bit.
This time, I saw wallet Core Trader 56 (0xb663c9…e1da0) open a long $SP500 position with 49x leverage, holding 50 contracts, with a notional value of about $385,800. This is an opening signal, but the outcome is still unknown. I'm more concerned about how it plans to withstand volatility rather than rushing to guess the direction.
Roughly calculating by dividing the notional value by leverage, the corresponding margin is about $7,873; if the price moves 1% against the position, the unrealized loss is about $3,858, which is 49% of this estimated margin. This doesn't include fees, and the actual liquidation price can't be directly determined by simply taking the reciprocal of the leverage; it depends on the margin model and maintenance margin requirements. So my judgment is that the biggest test for this position is not the courage to be bullish, but the execution of stop-loss and margin management.
Unlike traditional stock index futures, this on-chain record represents a tokenized exposure and cannot be directly treated as an exchange stock index futures contract to apply the same rules; from a single wallet's position, it's also unclear whether there is any hedging behind it. I wouldn't hastily judge recklessness just based on 49x leverage, but with incomplete risk control information, I'd rather raise a question mark first. Are there friends who have also transitioned from traditional markets? When encountering such a position, would you first verify the contract rules or check the liquidation and margin call mechanisms?#Tesla deliveries exceed expectations, focus shifts to profit recovery Tesla's Q3 deliveries surpassed expectations, shifting market focus to profit recovery. Deliveries look good, but previous price wars have dragged down gross margins. The earnings report will focus on automotive gross margin and free cash flow, with additional attention to Robotaxi and Optimus progress. Good deliveries do not equal good profits; gross margin is the core of this market trend. ⚠️This is only a personal opinion and does not constitute investment advice. Coca-Cola has risen 9.42% over 7 trading days.
For a defensive stock, this is not a normal pace.
Its usual annual volatility is about this magnitude.
On October 16, it closed at 93.90, just 0.21% below its six-month high.
On the same day, AVGO hit an intraday low of 328.58, a six-month low.
One is at the top, the other at the bottom.
I don't think this is a coincidence.
KO sells sugary drinks, with predictable cash flow, no need for anyone to believe a new story.
AVGO requires people to believe AI capital expenditures can keep rising for another three years.
When the market is willing to pay a premium for the former, it means it temporarily doesn't want to pay for the latter.
The market generally is willing to pay for "doubling next year," but not for "steady 3% growth every year." Now this preference has reversed.
On October 16, KO traded 23.1 million shares.
The 20-day average volume is 16.3 million shares, an increase of 1.42 times.
Rising close to a new high, volume is still expanding.
KO has risen 26% from 74.55 on April 22 to now.
The semiconductor ETF is still 19.65% below its six-month high.
Looking at these two numbers together, it's not just simple sector rotation.
It's money changing its way of living, from seeking elasticity to seeking certainty.
$KO
#CertaintyPremiumPump.fun is also getting into contracts now, expanding the "business scope" of casual players 😂
In the past couple of days, they added a perpetual contract entry, which is connected to Hyperliquid at the backend. Order matching, positions, and liquidation all happen on Hyperliquid.
This business model is pretty easy to understand: Pump keeps users on its own page, creating an additional fee scenario; Hyperliquid gains another traffic source.
But there's a detail: the official fee rate is clearly stated — placing contract orders through Pump will incur an extra fee of up to 0.1%, calculated on the nominal order amount, counting for opening, adding to, and closing positions. Hyperliquid's own trading and funding fees are charged separately.
In other words, for a 10,000 U order, Pump's layer alone can cost up to 10 U.
Platforms increasingly want to offer an all-in-one trading service. If the backend is all Hyperliquid, would you stay on Pump for convenience or go directly to the original site?#Chip stocks rebound after eight consecutive days of decline, can AI trading recover?
After chip stocks fell for eight consecutive days, they finally saw a rebound. Many are asking whether the previously booming AI market can be restored.
To get to the point, this rebound is more of a short-term bounce after a heavy drop and does not mean the AI market is directly warming up. The previous continuous decline was mainly because people started worrying that AI-related companies were spending too much, profits couldn't keep up, and funds were withdrawing, leading the chip sector to be heavily sold off.
The current price increase is just a breather after the initial panic selling. To truly repair the AI market, it’s not enough to rely on stock price rebounds; two things need to be considered: first, whether chip orders can be stabilized and if the real demand for AI computing power continues to grow; second, whether market funds are willing to return and increase holdings in tech stocks. $SNDK
If subsequent orders fall short of expectations, this rebound is likely just temporary, followed by continued volatility. The AI theme will not return to the previous surge just because of a single-day rebound. There will be clear differentiation within the sector, and only those with solid performance support will hold up. $SKHYNIX
Ordinary investors should not rush to bottom-fish just because of the rebound. First observe whether funds can continue to flow back and whether performance can be delivered, then judge if the AI market is truly recovering. Do not mistake an oversold rebound for the start of a new major rally. $BTC
#Institutional funds weaken, who will see a return first, BTC or ETH? #Meta’s huge AI investment enters the return verification period The more you learn about trading, the more you lose? It's not that you've become more professional, but that you have more "anchors" weighing you down. MACD tells you to exit, KDJ tells you to stay, Elliott Wave points to the start of wave three, Chan Theory talks about central oscillation, and in the end, you don't even dare to place an order. The problem isn't learning too much, it's failing to summarize. Learning isn't about piling up more, it's about cutting down; the more complex the system, the more it resembles a general store.
Chasing the leader is the most typical case: the most capital inflow, the best candlesticks, and enough imagination—just buy as long as it doesn't crash immediately. Most people insist on looking at indicators, dislike the leader's death cross and overbought signals, then turn to some other stock with perfect indicators, and the result is predictable. Indicators lag, capital is real-time; if the leader's indicators are poor but it still rises, that proves it's the leader. The other stock's perfect indicators mean no one is paying attention; perfect indicators and asset quality often run opposite.
The more indicators you have, the easier it is to contradict yourself. Among twenty, you can always find three to say "don't buy." This isn't risk control; it's leaving yourself an escape route. Experts only focus on one or two decisive things: whether the money is there, whether the structure is correct, and where to exit if wrong. The rest is all noise.
Losing more isn't about learning more; it's about not summarizing: too many anchors cause confusion, confusion causes mistakes. The first thing to stop isn't your position size, but your conflicting system. You must learn to subtract before you can add correctly. #InstitutionalFundsWeaken, Who Will See Capital Return First, BTC or ETH? Money is diverging: BTC is entering the full cycle, while ETH and XRP are moving out. BTC is the strongest: net inflows of 150 million in 8 hours, 130 million in 12 hours, and 110 million in 24 hours, absorbing capital throughout the cycle, supported by buy orders. ETH is wavering: 10.3344 million inflow in 8 hours, 989,000 in 12 hours, but a net outflow of 54.776 million in 24 hours—short-term inflow but long-term outflow, with selling pressure concentrated here.
XRP is weaker: 1.1537 million inflow in 8 hours, turning to a net outflow of 7.7453 million in 12 hours, and 24.1913 million outflow in 24 hours, becoming increasingly weak. Combined with earlier liquidation data, non-BTC assets are under short-term pressure, and BTC spot inflows align perfectly with contract positions. Reminder: net inflow/outflow is only a snapshot of spot funds, changing in real time, does not represent a trend, do not use it as a directional indicator. Continuing to analyze altcoins, tracking $UNI and $PEPE
I've talked about UNI's fundamentals many times before. When it was at a high point, I also warned everyone not to enter. Now that it has dropped, it has reached the range where we are ready to enter. I'll update UNI's fundamentals again and share why I am optimistic about UNI in the short term.
The current pullback position is attractive. It's currently a bit over $7, still far from its historical high. The lower golden entry point is around $6, and the token's value capture is improving. The biggest problem with UNI in the past was that the protocol made money, but token holders hardly benefited. Now, with the fee and burn mechanisms advancing, UNI is finally starting to link with protocol revenue. There are ecosystem and institutional catalysts. CME futures, traditional finance cooperation, and the development of Unichain are all worth watching. The key is whether they can bring real demand later. Also, the UNI project has long-term accumulation. Uniswap is a veteran DEX with solid product and ecosystem foundations, but competition is fierce, so risks should not be ignored just because of its historical status.
Of course, UNI could still drop to $6 or even lower. So I think entering in batches is fine; don't go all in at once. $BTC's "decent" 80,000 and $ETH's "shroud" at 2,500 — these two things are more interesting to analyze separately than together right now.
$BTC: Holding 80,000 is not because bulls are strong, but because bears haven't gotten the cards they want yet
The US September CPI year-over-year was 3.7%, a full point higher than expected, and PPI also exceeded forecasts. Half a year ago, such data would have pushed $BTC down to the 70,000 range at least. But this time it stubbornly held 80,000. On Friday, the Fear & Greed Index even bounced from 53 back to 60, returning to "greed." Looks encouraging, right?
But when you break down the options structure, the underlying reason for this "resilience" becomes clear. There is an enormous open interest of contracts at the 80,000 strike price, with market makers holding positive Gamma. When the price drops near 80,000, they are forced to buy to hedge, effectively providing a mechanical cushion for the market. This is not a "crypto asset anti-inflation narrative comeback," but short-term stickiness created by the options market at a specific strike price. Once the positions start migrating to other strike prices after the October 16 expiration, this cushion will thin out.
More honest data lies in capital flows. Since October began, $BTC spot ETFs have seen net outflows exceeding 600 million USD, and Ethereum ETFs are even worse, with nine consecutive trading days of net redemptions. CoinShares directly characterized this as a tug-of-war phase, not a trend reversal. The real support at 80,000 comes from options market makers' hedging flows, not spot buying. The difference is that the former will disappear, while the latter will remain.
$ETH: 2,500 is an emotional rebound, not a fundamental turnaround
$ETH's problem is much more naked than $BTC's. The 2,500 level was reached in May 2025 and has returned now, but the floor beneath has completely changed material.
The "ultrasound money" story takes courage to bring up now. In the past 24 hours, $ETH supply increased by 2,955 coins, with only 13.59 coins burned, a burn rate of 0.46% of new supply. From the start of the year until now, fee burns have only offset 2.07% of total issuance. Base, a Layer 2, has absorbed net inflows on the order of 4.7 billion USD; users and fees have migrated to Layer 2, leaving the mainnet as a settlement skeleton, and the burn mechanism has lost its fuel. Circulating supply is genuinely expanding, with over 80,000 new $ETH entering the market monthly.
Therefore, $ETH's rebound at 2,500 is essentially an emotional repair of "oversold and a slight return of risk appetite," not an improvement in on-chain supply-demand structure. Some pin hopes on Layer 2 fee inflows or mainnet activity revival, but that is future tense, not present tense.
A blunt truth
$BTC's 80,000 and $ETH's 2,500 currently share the same underlying logic: macro liquidity has not loosened, but on-chain supply is quietly increasing. After CPI exceeded expectations, the probability of a rate hike in October surged from 20% to over 50%, though it later fell back due to Warsh not sounding hawkish. The expectation of "no action" is weakening at the margin, not strengthening. The opportunity cost of zero-yield assets has not decreased, while $ETH's circulating supply is still increasing by nearly 3,000 coins daily.
Under this combination, price "holding" and "rebound" can both happen, but sustainability is questionable. $BTC's 80,000 relies on options structure, $ETH's 2,500 relies on residual sentiment. Neither is supported by spot buying or on-chain deflation.
The real signals are not in the candlesticks but in the next PCE, the next employment report, and where option positions move after the 80,000 strike expiration. Until then, separating "resilience" and "rebound" is much safer than mixing them and fooling yourself.
$BTC $ETH #Gold4200USD tug-of-war, why didn't BTC rally? #Circle stablecoin public chain Arc launched #Institutional funds weaken, who will see inflows first, BTC or ETH? A batch of active x402 wallets saw the proportion of those receiving funds again within 30 days after their first deposit rise from 70.6% to 89.3%. Chainalysis's October 14 report compares wallets with first deposits in Q3 2025 and Q2 2026, both groups having completed the 30-day observation window.
x402 is a protocol for pay-per-use software, such as paying a small fee for search or data API access. For developers of such services, repeat deposits are a closer indicator of whether the tool is being used repeatedly than just counting payment transactions.
But there is an important filter here: the report only counts wallets that made payments on at least two different dates, excluding those that only tried once. The 89.3% figure describes the filtered active wallets and cannot be interpreted as the renewal rate for all AI users; the number of wallets does not equal the number of people.
Funds entering wallets do not necessarily mean payment has been made to the service provider. Subsequent analysis of retention for unfiltered wallets, actual spending amounts, and service revenue is needed to determine whether repeated use has turned into sustained business.
Source and original image: Chainalysis "North America: Inside the Growth of Agentic Commerce," reviewed on 10/19. This article discusses payment protocols and does not specifically refer to any tokens.#Netflix growth may slow, advertising business becomes new focus Today's Asian market shows an interesting structural divergence. Overall, Asian tech stocks continue to show signs of pressure. Clearly, facing the current macroeconomic pressure plus energy inflation, market confidence in tech stocks remains insufficient, so the valuation adjustment is not yet complete. This is most evident in the Japanese and Taiwanese stock markets.
On the other hand, although tech stocks are under pressure, the South Korean stock market has seen a significant rebound. Previously, the storage sector experienced a large valuation adjustment. Currently, the South Korean stock market looks more like a technical rebound after a short-term oversell. Moreover, South Korean tech stocks rely more on a few leading companies, so once these leading companies rebound, the index rebound becomes more pronounced.
Meanwhile, the Chinese stock market shows a contrary trend. Chinese economic data was released, with retail and industrial output data rising. Q3 GDP grew 4.5% year-on-year. The data indicates that the Chinese economy tends to be stable, hedging against stock market panic and boosting the market.
Currently, the overall market narrative during Asian trading hours is—interest rate hikes delayed, macro pressure slightly eased, but AI valuations and capital expenditure issues still need further verification through earnings reports. #Chip stocks rebound after eight consecutive declines, can AI trading recover? ETH outflows surpass BTC: The "stress test" signal of this adjustment is not in ETFs, but in stablecoins
ETH ETF outflows have exceeded BTC, mainly because Bitcoin redemption speed slowed down first, rather than a sudden deterioration in Ethereum's fundamentals. This actually indicates that institutional selling pressure on BTC is marginally weakening, and the stabilization sequence is likely BTC before ETH. But the real recovery signal is hidden on-chain—ETFs are "hiding," whales are "catching," and stablecoins are poised on exchanges. ETF outflows are superficial; when stablecoins turn to buying is the leading indicator of capital demand recovery. #InstitutionalFundsWeaken, WhoWillSeeInflowFirstBTCorETH? #机构资金转弱，BTC与ETH谁先迎来回流？ 🚀 $BTC $ETH $SOL: Will the bull market script play out again?
The current trends of the three major mainstream coins remind us of the rebound in August. BTC is holding a key range, ETH is awaiting recovery, and SOL is expected to show stronger resilience as the market warms up.
However, the macro environment has changed! The US September CPI rose to 3.7% year-on-year, PPI reached 6.3% year-on-year, inflationary pressures are heating up again, and expectations for rate hikes within the year have increased accordingly. Meanwhile, BTC spot ETFs have seen net outflows for two consecutive weeks, totaling about $910 million, so the funding situation still needs monitoring.
If BTC breaks resistance with volume, short covering could help push the rebound; if buying is insufficient, it may fall back again.
Similar patterns do not guarantee the market will repeat; the focus is on breakout confirmation, spot funding, and SOL's relative strength. Do not blindly chase gains, and pay attention to risk control. For market discussion only, not investment advice.On October 15, Tesla unveiled the second-generation Roadster at SpaceX's Texas test site. However, by the close of last week's U.S. stock market, Tesla's shares had fallen more than 7% over five trading days, wiping out about $93 billion in market value.
Tesla delivered 486,000 vehicles in Q3, exceeding expectations by 5.6%. But the stock price has dropped over 25% this year. The more they sell, the less they earn. The Model 3 and Model Y together accounted for 98.3% of total deliveries. Musk is betting the profits from the automotive business on the future of AI. Yet, AI returns have not yet materialized.
On October 2, Tesla released its Q3 delivery data: 486,000 vehicles, 5.6% higher than analysts' forecast of 461,000, with a 1.3% sequential increase. The numbers look good.
Tesla's Q2 financial report showed automotive gross margin fell to 16.9%, and excluding regulatory credits, only 16.3%, down 2.9 percentage points from Q1. Operating profit plunged 57% year-over-year, and free cash flow turned negative for the first time in over two years. Revenue per vehicle delivered dropped from about $45,300 in Q1 to about $42,700 in Q2. Model 3/Y accounted for 98.3% of deliveries. The higher-priced Model S and Model X have been discontinued. Tesla is supporting higher sales volume with cheaper cars.
It is foreseeable that $TSLA's Q3 report will likely continue to decline.
#TeslaDeliveryExceedsExpectationsProfitRecoveryInFocus Sixty thousand tons of broth poured into the stove eye, flames shooting up to the exhaust hood, yet the head chef is fixated on that spoonful of 10% coupon chili extract—Anthropic is planning to burn $60 billion on Google's Tensor processors; this isn't financing, it's pawning the entire central kitchen's gas meter to the supply chain. The kitchen's ratio chart is clear: mainstream coins are the main dish, altcoins are the seasoning, and leveraged contracts are the extra spicy chili. Now the guests at this table treat smart computing power as the main dish, US stock-mapped targets as the seasoning, and have thrown in a handful of $60 billion of extra spicy chili into the pot. Blackstone's $9 billion, 10% coupon funds are like using old hens to make broth—fresh indeed, but the cost is real money; add a spoonful to enhance flavor, but too much will burn through cash flow directly. Third-quarter revenue is 16.8 billion, up 45% quarter-over-quarter, with adjusted profits still intact, and turnover rate is indeed impressive; but the gas bill for the high flame stove is also soaring, the cooking pot for computing expenses is getting hotter and hotter, the main dish hasn't been served steadily yet, but the seasoning is already smoking. The menu price has been cut from a 2 trillion expectation to 1.5 trillion, like a Michelin restaurant lowering the price of its signature dish—the guests smell the aroma, but the kitchen is calculating whether the gross margin is enough to pay the gas bill.
The New York Comptroller demands intelligent security governance, like a health inspector standing at the serving window; handing a draft to legislators is like putting the recipe filing on the stove in advance. Listing is like getting a star; if the health rating fails, the star award time must be postponed; no matter how thick that financing chili is, it will first spice up the listing rhythm before the star award. The neighboring US stock-mapped targets smell the aroma and react, like front-of-house guests hearing the kitchen pot boiling, their glasses shaking three times first. But the pot's ledger doesn't recognize aroma, only turnover rate and whether the gas bill can be matched. Can the gas bill for the high flame stove be covered by the turnover rate? Will the 10% coupon broth cook the gross margin dry? Will the health rating block the star award window? These three question marks are hotter than the flames on the stove. The kitchen fears the ratio imbalance most: the main dish is undercooked, the seasoning burns first, the chili stings first; $60 billion financing is a whole bag of chili, $9 billion coupon funds are chili extract, computing expenses are the gas meter, no matter how high the turnover rate is, it fears all three being poured into the pot together. Listing is like opening a new store; if the health rating is delayed by a day, rent and coupon interest roll for an extra day; the thicker the financing chili, the narrower the star award window.
Whether this dish can be served depends not on how fierce the fire is, but whether that 10% coupon chili has burned through the cash flow. #anthropic60bfinancingThis wave of $PEPE might be about to rise. Last night, Sun Yuchen bought 7.2 trillion PEPE at the bottom, worth nearly 30 million USD.
The last time he spent big on a meme was with $TRUMP; this time he chose PEPE, not $DOGE. DOGE is probably crying in the bathroom.
PEPE is currently the most whale-concentrated meme, with the top 100 wallets controlling 76.8% of the supply, an alarming concentration. Also, on the 16th, a whale withdrew 4.92 trillion from Poloniex, and yesterday after Sun’s buy, another 7.2 trillion was withdrawn.
Hopefully, this wave of Sun’s buying will pull the price up. My holdings are already deeply in the red...
DOGE is the most institutionalized meme. Although Bitwise’s DOGE ETF is about to be liquidated, Grayscale just launched the Dogecoin Trust. Grayscale Trust is a long-term institutional channel, and DOGE is already ahead of all meme coins on the path to institutionalization.
TRUMP is the bloodiest. Even Sun’s buying couldn’t save it; the team extracted $779 million to $1.16 billion from the token, and the price dropped from 73 to 1.8, a 97% retracement. This is the harshest example in the meme coin circle. Buying this thing is like giving money to the team; don’t even touch it.In this round of capital inflow competition, BTC is definitely the first to get the initial benefit, while ETH still has to endure more in the quagmire.
Recently, institutional funds have weakened, ETFs are flowing out, and even altcoins have plummeted bloodily. But you need to see the bottom cards clearly: although BTC's $BTC ETF is flowing out, the trend of whales transferring coins to exchanges to dump has already stopped, and spot selling pressure is actually marginally weakening. Now the funds are holding U outside the market waiting for signals, not completely exiting; BTC's foundation remains the strongest.
Looking at $ETH ETH, the situation is much more dangerous. Its ETF outflow scale is even larger than BTC's and extremely concentrated, with BlackRock alone accounting for the vast majority. This indicates that large institutions have very low tolerance for ETH; at the slightest disturbance, concentrated redemptions can crush the market. Although whales are buying on dips and the staking rate has hit a new high, the long ratio in the futures market is too high and the willingness to chase prices is weak. Once key levels are broken, the long liquidation stampede will be far more brutal than BTC's.
My view is straightforward: don’t assume that heavy drops will attract funds to rescue. Capital inflow always first chooses the safest haven. BTC has the attribute of a stabilizing anchor, while ETH’s current chip structure is too scattered and fragile. At this time, don’t try to guess ETH’s bottom; watching the capital flow on both sides is what really matters. The strong get stronger, the weak get weaker—don’t catch the most fragile flying knives now. #InstitutionalFundsWeaken, Who Will See Capital Inflow First, BTC or ETH? $UNITREE: A Last Gasp or a Revival?
Today's rise in Unitree is actually quite clear when broken down into three overlapping factors:
First, an oversold rebound. The stock price had a significant adjustment earlier, and after valuation digestion, some funds believe it has entered a reasonable range and started to enter in batches, pushing the stock price to recover. This is a technical rebound, not a fundamental change.
Second, sector catalysts. Humanoid robots, embodied intelligence, and commercial implementation remain among the most watched sectors in the market. Whenever there is any movement in the sector, Unitree, as a leading stock, easily becomes the first choice for capital inflow.
Third, sentiment warming. The market was previously cautious about high valuations and lacked willingness to chase highs. Once overall risk appetite rises, funds will concentrate on stocks with stories and recognizability, leading to rapid gains.
But one key point to note: stock price increases do not equal a sudden rise in company value. Without new orders, partnerships, or performance validation, this wave is more likely an oversold rebound rather than a trend reversal. Going forward, three things need to be observed: whether trading volume can continue to expand, whether the robotics sector moves in tandem, and whether the company has substantial commercial progress.
In summary: the robotics theme offers imagination space, prior adjustments provide rebound space, and capital sentiment determines the pace of the rise. Short-term speculation depends on capital, long-term investment depends on performance and implementation. Understanding what this rise is about will prevent being misled by short-term fluctuations $ZEC is still the most talked about in the Orbit altcoin community. It dipped to 1048 early this morning and then pulled back to 1191. Many people are showing off their long positions 😂 I, on the other hand, want to look for shorting opportunities.
The reason is simple: since the night of the 16th, after falling below 1186 from above 1230, this level has become resistance. On the 17th, it rebounded to 1185 but was pushed back down; this morning it surged to 1191.65 but couldn't hold, now around 1162. The 4H candle this morning showed volume, but this one clearly shrank. Funding rate is 0.01%, longs are paying, with about $130 million in open interest.
My plan:
🔸 Bearish bias, only short on pullbacks: place staggered orders between 1180–1190
🔸 Stop loss at 1212; if it breaks above, it means resistance is gone
🔸 Targets first at 1130 (near this morning's rally start), then 1100
I won't chase shorts around 1160, a middle position; if no pullback, I won't trade. Also, if the 4H closes above 1195, I'll abandon this idea and won't hold on stubbornly.
This coin can swing over 10% in a day, so leverage must be low and stop loss must be set.
#ZEC #ContractStrategy
Just my personal opinion, not investment advice, DYORA capital expenditure of $195 billion is placed on the board; this is not an opening probe, but a sacrificial aggressive attack pressing the opponent's king-side with the queen and both rooks.
Investment in AI infrastructure has never been about the immediate gain of a few pawns. A true grandmaster calculates the open lines left after piece exchanges. Google is pushing its 2026 expenditure to a range of $195 billion to $205 billion, effectively committing all heavy pieces in the opening phase, exchanging for three future open lines: cloud revenue growth curve, profit margin piece balance, and cash flow depth. The problem is, the opponent will not stand still.
The cloud is a chain of advancing pawns, not isolated deep incursions. If revenue growth cannot keep pace with capital depreciation, the sacrificed pieces are given away for nothing. What is most feared in the midgame? It’s when you trade a rook and only get back an opponent’s flank pawn. Profit margin is the piece balance sheet of this game—if cloud revenue rises but gross margin steadily declines, it’s like trading a queen for a knight: a win on paper but losing a piece in the endgame. Every dollar of capital expenditure is a first move; if the initiative spent cannot be recovered, it must be compensated by the subsequent pawn structure.
Cash flow is the king in the endgame. The king cannot be without cover. As capital expenditure continues to expand, depreciation and amortization act like the opponent’s passed pawns pressing forward; once cloud free cash flow is depleted, the entire pawn chain breaks in the middle. Stability in profit margin is the rook guarding the baseline in the endgame—if it stands, the king lives; if not, even the most brilliant midgame attack is just a paper advantage.
What really needs watching is the moment the financial report is unveiled—can cloud growth hold this heavy piece? If it can’t, the sacrifice is a loss; if it can, the game enters the deep waters of the midgame. Another linked target on a different board follows the same logic—first look at piece compensation, then the endgame structure; don’t be fooled by the momentum of the opening.
The first to move is not necessarily the winner; only those who can calculate twenty moves of compensation after a sacrifice deserve to sit at the endgame table. This move, Google is betting on open lines, not the immediate pawns. #alphabetq3cloudandaiETH shorts are dancing on the edge of a knife, ZEC awaits tomorrow's decisive moment.
$ETH: Short liquidation price at 2,419, only 9 dollars away from the current price. An address shorted 13,830 ETH at 2,366 last night; this morning, when the price rebounded to 2,409, 2,765 ETH were liquidated. The remaining position's liquidation price is 2,419, almost tracking the price closely. A slight price uptick triggers another wave of liquidations. But there is a sell wall at 2,409 above, accounting for nearly 46% of the top five levels, making the rally painful. ETFs saw a net outflow of 320 million USD last week, bleeding for three consecutive weeks, with BlackRock's ETHA losing 299 million.
$ZEC: Tomorrow, October 20, is the final decision day for the NU7 mainnet. The testnet has been running smoothly, with block times cut from 75 seconds to 25 seconds. If it passes, the mainnet will launch on November 5; if not, testing continues. There's still a risk: old ZEC in the Sprout pool won't migrate, and after NU7 activation, even with private keys, they can't be spent. #机构资金转弱，BTC与ETH谁先迎来回流？ #NetflixQ3AdsAndMargins The ones who always get hit over the weekend are the crypto community. I used to be someone who hated to reduce my positions on Friday nights. Always thinking: what if the market pumps over the weekend? What if some news comes out and crypto rallies first? Later I realized, if you don’t wait it out, what you get is a sharp drop early Saturday morning. This weekend it happened again. The US stock market was closed, and storage chips (Micron, SK Hynix, SanDisk) crashed 7% (to be confirmed), panic had nowhere to go—only the crypto market was still open, and all the short positions got smashed here. BTC followed down 1%, hitting a low of $80,800 (to be confirmed), ETH dropped 2% (to be confirmed). One perpetual contract’s funding rate was crushed to -0.1% per hour (to be confirmed), shorts were paying to push down; on the other side, $2.77 million long positions were forcibly liquidated in 40 minutes (to be confirmed). The numbers are to be confirmed, but I know this script too well. Because it plays out every year, just with different main characters. 1. Weekend trading is a different market from weekdays Many people haven’t thought about this: the crypto market on weekends and on weekdays are basically two different markets. On weekdays, the US stock market is open, market makers are working, institutional algorithms are running, order books are deep, and a large order can come in with controllable slippage. On weekends, the US stock market is closed, market makers are off, liquidity thins out directly, and orders that wouldn’t be absorbed during the week can cause sharp spikes with just one trade. This is the "liquidity vacuum"—it’s not that no one is trading, but fewer people are taking the other side. Both buy and sell orders are thin, so even a slight price move can amplify slippage several times. The "support" you see during the week can be broken with just one poke on the weekend, not because$Q bottom stretched 4500%, after squeezing out all the shorts, it started a waterfall drop. This wave of decline has pretty much liquidated both short positions and retail traders chasing longs, perfectly achieving a double kill on longs and shorts.
There was a large short-term outflow of on-chain funds, but next month 248.6M Q will be unlocked. Coupled with spot buying during this drop to accumulate on exchanges, it’s clear the position is too heavy and this is a shakeout.
Since it’s a shakeout, you shouldn’t chase shorts; be prepared for a possible second stretch upward at any time.
A relatively safe position is around 0.15 to lightly go long, with a stop loss near the strong 4H support line at 0.127 [if this level breaks, you shouldn’t hold], but the loss won’t be much. The risk-reward ratio is suitable for retail traders aiming for big gains with small stakes.
The above is just personal opinion and does not constitute any investment advice. Thank you! $BTC $ETH
#Institutional funds weaken, who will see inflows first, BTC or ETH? #Chip stocks rebound after eight consecutive drops, can AI trading fix this?
Chip stocks have been hammered down for eight straight days, but today they finally caught a breather, with Nasdaq futures jumping nearly 1 point pre-market.
But don’t get too excited just yet; we need to see through the underlying logic. Look at TSMC — their Q3 earnings were explosive, right? Revenue and profits hit all-time highs, yet after their US stock earnings release, they still got hammered. What does this mean? It means Wall Street doesn’t care how good your performance is; they’re now worried that "AI might be overhyped" and are anxious about when the trillions invested will start to pay off.
Right now, two camps are clashing. On one side, Bank of America and Jensen Huang are shouting to buy the dip, saying the 2027 P/E ratio is only 24 times, which is cheap; on the other side, the market is voting with its feet, thinking valuations are still too high. South Korea’s market rebounded strongly today, with Samsung and SK Hynix both up over 6 points, purely because they fell too hard in the past few days, and funds are coming in for an oversold bounce.
What’s the impact?
First, emotional transmission. The big rebound in Korean semiconductor stocks is a reassurance for our crypto circle. When Korean stocks plunged a few days ago, everyone feared forced liquidations selling crypto; now that the decline has stopped and reversed, at least the short-term liquidity drain pressure has eased.
Second, the AI concept reshuffle won’t stop. US tech giants are now doing the math, competing on real profitability. Those AI concept coins in crypto that just ride the hype and publish whitepapers definitely won’t survive this big reshuffle. Capital will become more selective and only recognize projects with real computing power and cash flow. The CFTC's push for the RegCam voluntary regulatory framework bill has stalled in Congress, so the CFTC took a different approach and launched this voluntary regulatory program.
Platforms can voluntarily apply to be included under unified federal regulation and receive compliance endorsement.
In the short term, this is considered positive for the industry as it can reduce uncertainty.
But it is not a full liberalization; it only targets retail crypto trading with leverage.
Don't treat this as a trigger for a major bull market; it is a medium- to long-term institutional foundation.
Once the news is implemented, positive effects are likely to be realized, but don't blindly chase highs in the market.
The market trend will still largely depend on BTC's capital absorption strength.
#Institutional funds weaken, who will see capital inflow first, BTC or ETH? Hello to all OKX traders! As the pre-market sentiment of the US stock market gradually clarifies, the semiconductor sector has once again become the market focus. Today, combining the 1-day candlestick chart of xMRVL/USDT (Marvell Technology tokenized stock) on the OKX platform with the latest pre-market information, we will deeply analyze the US stock market opening trend and trading strategies for tonight. 🌐 1. Pre-market sentiment and fundamentals resonance: a mix of bulls and bears 1. Potential positives (bullish support): · Sector sentiment warming: Today, tech stocks generally strengthened in the pre-market dark pool, with clear rebound signals in semiconductors. The market currently holds long-term valuation expectations for Marvell in AI custom chips and connectivity business (long-term revenue outlook exceeding $30 billion). Some institutions (such as GF Securities) believe this semiconductor correction has created a good buying opportunity. · Pre-market momentum: According to pre-market dark pool data, MRVL's pre-market quote is around $228 (up about 1.91%). If momentum continues, it is highly likely to gap up at tonight's open. 2. Potential selling pressure (bearish risk): · Executive cash-out pressure: Pre-market trading records show that data center business executives and the CEO conducted planned cash-out actions in the $235-$241 range. This will exert some short-term emotional pressure. · Valuation digestion: The company's forward P/E ratio is at a relatively high level in the industry. Under macro uncertainty, funds tend to take profits during rebounds. --- 📊 2. In-depth technical analysis (based on xMRVL 1-day chart) ObservationMy account shrank this week, so probably everyone's did too; the market is really wearing people down.
Money is flowing out. This week, Bitcoin ETF had a net outflow of $228.4 million, Ethereum ETF had a net outflow of $320.1 million, with Ethereum ETF outflowing 40% more than Bitcoin ETF. The treasury side has also slowed down, and the pace of Strat water and Egy increasing holdings has clearly decreased.
So about today's question, when will institutional money come back, and who will return first? I'll answer seriously.
My judgment is that Bitcoin will return first. That spike at 79,725 this week was caught by a Bitcoin whale.
The 84,000 level is the barrier Bitcoin is hitting. Ethereum's critical point at 2,626 hasn't been recovered yet. When money returns, it will definitely come back to the strongest one first.
Also, here's a signal I just saw.
Today, the South Korean stock market rebounded 3.6%, Samsung rose 5.3%, and after eight consecutive declines, chips broadly recovered for the first time. The transmission of risk appetite follows an order: first the stock market, then the crypto market; first Bitcoin, then Ethereum.
The stock market recovered today, so the crypto market's inflow is not far off.
There is only one signal for inflow: ETF net inflow for three consecutive days. One day is sentiment, three days is money.
Did everyone add or reduce this week?
#机构资金转弱，BTC与ETH谁先迎来回流？ $BTC $ETH 📂 20U Real Trading Record 109
💰 Principal: 20U
📈 Profit on this trade: Floating profit
✅ Total accumulated profit: About +140UU
💎 Current total funds: About 160U
📌 Current position: In a state of loss shock
Unitree surged crazily today
Up over 11%, closing at 475.95, marking the second-largest single-day increase since listing, with total market value returning above 190 billion. It has rebounded about 17% from last Thursday's low.
Why the rise? Three factors combined.
First, the Ministry of Commerce and 8 other departments today issued "Opinions on Accelerating the Promotion of Technology-Driven Commerce," explicitly mentioning the application of embodied intelligence technology in the commercial trade sector, expanding scenarios such as home services and commercial logistics. The policy directly names it.
Second, OpenAI is advancing humanoid robot development, with 19 Robotics-related positions posted on its official website, covering control systems, actuators, and data systems. Altman said a demonstration prototype will be launched in 2027.
Third, the first batch of six national standards for humanoid robots was approved and released on October 15, to be implemented in April 2027. The implementation of standards means the industry is moving from storytelling to competing on delivery.
Unitree's revenue in the first half of the year was 1.152 billion, a year-on-year increase of 48.54%, with a net profit attributable to the parent company of 274 million. The fundamentals are not empty. But after surging to 1100 on the first day of listing on August 19, it has steadily declined to 450, with both trapped and profit-taking positions fighting at this level. Whether today's bullish candle can continue depends on whether there are follow-up orders and delivery data.
$UNITREE Top of the fee leaderboard, does it really have the highest trading fees?
Looking at the 24-hour fee leaderboard on October 19, Tether ranks first with $17.62m; Pump is $5.10m, roughly only one-third of that.
But there is an easy-to-misinterpret point here: the "fees" on the leaderboard are not entirely the transaction fees paid by users.
According to the page's statistical criteria, Tether's figure mainly comes from USDT reserve asset income; Circle's data also includes reserve income and transfer-related fees. The revenue sources for Pump, Polymarket, and Hyperliquid differ from each other.
Therefore, being ranked first in numbers does not mean the most active user trading, nor does it automatically mean the protocol has the strongest trading business.
When looking at a project's income, I ask three more questions:
Where exactly does the money come from?
Can this income be sustained?
And who ultimately actually receives it?
The leaderboard can tell us the scale, but the criteria and sources determine how to interpret this number.
When you look at a project's income, do you first look at the total amount or first break down the income sources?
Data source: DefiLlama 24h fee leaderboard on October 19. Project statistical criteria differ; this is only a personal observation and does not constitute investment advice.Tech stocks lost over a trillion in a week, but Apple hit a new high against the trend. I don't chase it, but I admit it's really resilient.
AAPL closed at 336.64 on 10/9 and 343.46 on 10/16, up about 2% in a week.
During the same week, the Nasdaq dropped about 4.5%, and the Philadelphia Semiconductor Index fell for eight consecutive sessions.
The foldable screen iPhone Duo starts at $1999, with initial stock sold out in 3 minutes, and online delivery scheduled until January next year.
It's not that funds don't want tech, but they're shifting from "burning money on AI infrastructure" to "products that can be sold directly."
I think: Apple's rally is a safe haven premium, not a new round of AI narrative.
The shortage is real, but it had already risen to a high level before the 10/23 launch; chasing now is buying expectations.
Looking at the support: if it holds above 335 after launch, and there are no news of order cuts or delays, I'll consider following the frontline.
If it fails: breaking below 330, or if funds flow back to chip stocks after a market rebound, the safe haven logic won't hold.
Do you think Apple is a "safe haven" or "the last one not to fall"?
$AAPL $QQQ $NVDA
#USStocks #Apple
#ChipStocks rebound after eight consecutive drops, can AI trading fix it? $RAY Q3 Earnings Report, first a straightforward conclusion: this is a fundamentally record-breaking report, but the price has already priced in the good news in advance. Revenue tripled, buybacks exceeded expectations, and the moat of tokenized stocks is firmly welded—these are all solid facts; but the surge from 0.9 to 2.58 in September has already priced in this positive news. The current drop is due to sentiment and leverage, not fundamentals. Three core highlights, each substantial: 1. Revenue directly tripled, real profit not just hype Q3 total fee revenue was $57.1 million, a more than 200% increase quarter-over-quarter from Q2, making it the strongest quarter in the past year. What does this mean? The previous peak was during the 2025 DeFi bull market; this time, revenue has been brought back to bull market levels directly through tokenized stocks. Moreover, the revenue quality is very high—not driven by token subsidies but real transaction fees. LaunchLab (tokenized stocks + new coin issuance) contributed 62% of the total trading volume for the quarter. After StonkFun migrated over, it directly broke Raydium's revenue ceiling. 2. Buyback strength exceeded expectations, with an annualized deflation rate close to 9% Q3 spent a total of $6.2 million to buy back RAY, repurchasing 4.58 million tokens, accounting for 1.7% of the circulating supply. Don't underestimate this 1.7%; 1.7% per quarter annualizes to nearly 7%; if calculated at September's monthly buyback rate, the annualized buyback rate could reach 9%. What level is this? In the entire DeFi space, only HYPE can match its buyback strength (but HYPE's unlock...Brothers! I've figured out the reason behind today's big drop in the A-shares market!
Q3 GDP is 4.5%, and the first three quarters are 4.6%, both better than expected. Logically, such bright data should push the market up, but instead, the market fell—this is one of the magical quirks of the A-shares.
Breaking it down, this growth is mainly supported by exports and industry, while consumption and investment remain weak.
What the market fears most now is not a poor economy, but this in-between state: the economy is just stable enough, so everyone worries that there won't be strong stimulus policies anymore;
but it's not good enough to drive corporate profits up, so it can't support stock prices.
In short, once the data is out, funds start to play a game: the economy is warming up, so follow-up stimulus policies might slow down.
Whether the A-shares can rise later depends no longer on whether the GDP numbers look good, but on the real profits of each company. Once expectations for policy stimulus cool down, any company with weak fundamentals will quickly be exposed!