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But every delay extends the window where L1 fee revenue stays depressed (~$41M recently) while L2s capture activity with near-zero settlement costs, and competitors keep nibbling at RWA share.
Swell’s suspected hot-key compromise (potential ~2,513 ETH exposure via malicious upgrades + unbacked rate hikes) is a fresh reminder that liquid staking / restaking operational risk remains real even as the broader staking base grows.
$ETH Last night's drop was actually the last thing the crypto circle knew about.
Oil prices rose 4% in one day, the Nasdaq fell more than 2.6%, risk assets were collectively hit, and the crypto market just followed with a catch-up drop. BTC was smashed from above 84,800 down to around 81,400, ETH lost the 2,400 level to report 2,389, and SOL fell back to around 103.
But more worth watching than the prices is the capital flow. BTC spot ETFs were still seeing continuous inflows a couple of days ago, but yesterday there was a net outflow of $635 million in a single day, wiping out the previous inflows and turning the October cumulative flow negative again. ETH ETFs saw an outflow of $111 million on the same day, with BlackRock's products accounting for the majority. SOL ETFs also saw an outflow of about $9 million, which is not large in scale, but in the context of simultaneous bleeding in the first two, it cannot be considered an independent trend.
The structural issues of the three coins differ: BTC's ETF buying comes fast and goes fast, like borrowed money; ETH's support relies more on staking lock-ups, not new buying; SOL's upgrade narrative just landed, but attention hasn't turned into capital before being interrupted by macro factors.
In short: today's bears are not in the crypto circle, but in crude oil and stock index futures. The three coins are just getting hit in different ways.
This is only a market record and does not constitute investment advice.
#MetaQ3营收超预期，巨额AI投入引发担忧 Solid mid-term read.
The $14.96M ETH ETF inflow on 10/21 (led by Grayscale Mini) did snap the 5-day outflow streak, but context matters: October still sits at ~$1.08B net outflows the heaviest month since launch and the very next session flipped back to -$110M+. One green day doesn’t reverse institutional caution
The whale rotation (~$159M BTC → ~$155M ETH) + BitMine staking another ~$390M (pushing their staked total to 5.23M ETH / ~86.5% of holdings) are clearer structural signals.
$ETH Spot gold fell below $4000, Bitcoin dropped from 84,000 to 81,000, with about $290 million liquidated across the network in 24 hours, nearly 90% of which were long positions, and the Nasdaq fell 2.6%. Both risk assets and safe-haven assets fell on the same day, institutions are topping up margin, selling the most liquid assets first. I judge that the root cause of this round of decline is liquidity contraction; gold's failure as a safe haven is just a surface phenomenon.
On October 22, Bitcoin spot ETF saw a net outflow of $635 million in a single day, the largest single-day withdrawal since June 25, while BTC was just one step away from the 7% panic threshold that day, institutions withdrew first. ETF funds capitulated earlier than prices, this leading signal deserves attention.
Oil prices are the variable adding fuel to the fire: Brent crude rose above $112, inflation expectations heated up, and the market's pricing for a 25bp rate hike in December has reached 74.8%. With rising rate hike expectations, incremental funds in risk assets shrink, and the crypto market deleverages accordingly.
Personally, I prefer to wait for ETF funds to turn positive before considering adding positions; chasing the dip lacks cost-effectiveness #ETF单日流出超6亿美元，BTC价格能否企稳？ Even Tesla’s “good print + lower near-term spend” got punished because the 2027-28 Optimus spend still looms.
Risk appetite is clearly rolling over (bonds bid, oil ripping on geopolitics, defensives outperforming).
This isn’t a broad risk-off crash. Most stocks closed higher.
It’s a mega-cap AI re-pricing.
The market is starting to demand an ROI timeline, not just bigger CapEx numbers.
this is the moment when narrative valuation meets balance-sheet reality. This is the classic late-cycle AI question finally hitting the tape: how much CapEx can you fund with debt + dilution before the market stops, giving you the benefit of the doubt?
Meta’s free cash flow flipping negative for the first time in over a decade + a new non-voting share class is the clearest signal yet.
The street is no longer just underwriting the AI story it’s underwriting the financing of the AI story.
The same dynamic hit the semis hard (SOX -6.7%). $IRYS IRYS has recently surged over 80%, driven not by a single major positive factor but by a combination of "small market cap with low circulating supply + contract short squeeze + influx of Korean retail funds," creating a capital-driven rally lacking solid business revenue support.
The short squeeze triggered a violent stampede: Before the surge, the long-short ratio in the contract market diverged, with whales and major funds heavily betting on shorts. As spot buying pushed the price upward to break through, shorts were forced to close positions to stop losses. Short covering is essentially buying, which further drove prices higher, creating a chain reaction of "short covering—price surge—triggering higher-level short liquidations."
Korean retail investors and "extreme greed" sentiment funds followed the trend: External funds mainly came from hot money inflows by Korean retail traders. The market lacked substantial product progress or fee demand as support. As prices kept breaking through, the market fear and greed index once surged to 89, indicating "extreme greed," and funding rates soared to +0.18%. Short-term speculative funds chased the rally aggressively, pushing impulsive trading volumes.
Risks to watch out for
Upcoming token unlock window: On October 25, about 77.58 million IRYS tokens will be unlocked (0.8% of total supply, about 2.8% of current market cap). Historically, IRYS plunged 47.7% within 14 days after an unlock in May. After a recent sharp price surge and substantial profit-taking, the new supply is very likely to become marginal selling pressure Evening Review
Today's Positions: Long $BICO, Long $HYPE
Market & Smart Money Data
HYPEUSDT
Current price 78.05, slight pullback -0.72%.
Smart money has a total of 581 traders, 422 short traders with a position size of 163.30M, short profit ratio 64.92%; only 159 long traders with a position size of 8.86M, long profit ratio 32.07%, nominal long-short ratio 5.43%, short main force positions far exceed longs.
Personal position: 20x full position long, entry at 73.897, current unrealized profit 632.85 USDT, return +107.98%. Although smart money shorts dominate the market, this long position achieved a good profit.
BICOUSDT
Current price 0.0162, decline -1.10%.
Smart money has 386 traders, 233 shorts with 1.22M position, short profit ratio as high as 93.99%; 153 longs with 143.89K position, long profit ratio only 15.68%, short advantage very obvious.
Personal 8x full position long, entry at 0.0349, current price significantly below entry, unrealized loss 1893.23 USDT, return -925.49%, margin ratio 5.39%, very high risk.
Personal Trading Reflection
✅ What went well: Held the HYPE long position with the trend, captured a good upward move, position and direction matched the market, gained considerable unrealized profit.
❌ Core issue: The BICO long position was a serious mistake, going long against the trend when smart money shorts were highly concentrated and short profit ratio extremely high; combined with high leverage full position, losses were sharply amplified as price dropped, margin is now in a high-risk zone with almost no room for error.
Both coins showed the same phenomenon: smart money shorts overall very profitable, while I opened two long positions simultaneously without paying attention to the whale fund bias.
The double-edged sword effect of leverage is very clear: correct trades double profits, wrong counter-trend trades cause losses to spiral out of control quickly.
Next Steps
Priority is to manage BICO position: margin ratio is very low, high risk of liquidation, need to prepare risk control plans, avoid stubbornly holding through counter-trend moves.
HYPE long already has substantial unrealized profit, implement trailing stop to secure current gains, avoid giving back profits.
Before opening new positions, prioritize referencing smart money long-short structure, avoid counter-trend bottom fishing in coins with highly concentrated whale shorts; strictly control frequency of full position high leverage use, reduce concentrated bets in a single direction.
Unified Discipline: Under high leverage, if market fund structure opposes your position direction, do not blindly add to position to average down cost.
#10月FOMC临近，美联储暂停加息还有哪些变数？
#MetaQ3营收超预期，巨额AI投入引发担忧
#存储芯片股再度下跌，AI投资回报担忧加剧 Damn, big bro Maji cut losses again. Sold two mutant apes at a bargain price of 1 ETH each, originally bought for 6.13 and 7.5 ETH respectively, taking a total loss of 11.28 ETH. This ruthless cutting of losses is basically his standard move.
The money from selling the monkeys probably went to topping up his position. He still holds over 1.3 million USD worth of ETH long positions, 25x leverage on full margin, entry price 2451, currently floating a loss of 29,000, and has paid over 5,000 in funding fees out of pocket. The scariest part is that his margin is down to just 52,300, with a liquidation price at 2362. Just a slight dip and it’s game over.
Cutting the monkeys to fill the contract, he’s clearly figured out this closed-loop operation. Now the liquidation line is only a few dozen dollars away from the current price. Whether big bro can hold on this time depends on how the market moves next.
$BTC $ZEC $ETH #MetaQ3营收超预期，巨额AI投入引发担忧
Meta's latest disclosure is for fiscal year 2026 Q3 (ending 2026-09-30, released after market close on 10/21). Key conclusions:
The advertising base is solid, AI has already supported the core business; however, litigation costs have severely impacted apparent profits, capital expenditures have surged, and free cash flow has turned negative. The market is buying into the "AI + advertising" narrative in the short term, with ROI realization expected in 2027 for the long term.According to Bloomberg, Gemini founders the Winklevoss brothers and DCG founder Barry Silbert are competing in the Zcash ecosystem, each supporting the mining company Cypherpunk Technolo
Regarding institutional-related news, the most confusing aspect is who is bearing the risk. Whether a company buys with its own assets, asset management products allocate for clients, or a platform provides custody for clients, the names involved may be the same, but the ownership of funds and the impact on the balance sheet are completely different.
The amount of financing is not paid by tokens. Financing may be used for operations, research and development, or debt repayment; it cannot be assumed that because a company receives money, these funds will enter the secondary market.
I only record disclosed actions as facts and do not supplement any undisclosed purchases for institutions. The larger the news scale, the more specific the explanation of fund destinations needs to be.
$ZEC#SK海力士Q3财报在即，HBM4能否提振盈利？ Slightly exceeding expectations is possible; significantly exceeding expectations is very difficult and the probability is low.
Core reason: The official guidance given by management in August was itself lower than Wall Street's original consensus expectations, effectively lowering the market's expectation ceiling.
- Company guidance range: Revenue $10.3–10.8 billion; Non-GAAP EPS $44–46; Gross margin 83%~85%
- Wall Street original consensus: Revenue about $11.16 billion, EPS about $45.58
✅ Supporting conditions for slightly exceeding expectations
1. NBM long-term order floor (a $93.9 billion guaranteed long-term contract), strong demand for AI inference SSDs, Stargate QLC enterprise drives starting mass delivery, data center business continues high growth, these are the most certain positives;
2. NAND spot prices maintain an upward trend, although the price increase slope slows, enterprise SSD prices remain resilient;
3. The company has a strong track record of delivering on financial reports, beating expectations multiple times in recent quarters;
4. Institutional views (e.g., Bernstein): Long-term contract orders lock in shipments, even if price increases slow, the profit base remains very high.
⚠️ Core constraints suppressing "significantly exceeding expectations" (key points)
1. Long-term contracts will pull down overall ASP: A large number of orders lock in prices in advance, so the benefits of spot price increases cannot be fully reflected in this quarter's revenue, limiting gross margin breakthroughs;$STRK Unless the team reverses the damage caused by the malicious and extreme net spot outflow sell-off on the unlock day, the bottom may still not be confirmed. So much malicious selling, especially at that speed, and selling at every little green candlestick nearby Understand $DOS at a glance, why was there a sudden dip early on? The chip structure tells you! Could it be the next explosive $IRIS?
Total supply 1 billion, initial circulation 20%, pre-market price 0.32, pool price 0.1
Financing details:
- Round 1: amount and valuation unknown, invested by Yzi Labs (2023.6)
- Round 2: 5 million, valuation 50 million (2023.7)
- Round 3: 15.3 million, valuation 300 million (2024.3)
Total financing: 20.3 million
Token distribution (initial unlock in parentheses):
- Institutions: 22.5%
- Team: 20%
- Ecosystem: 20% (5%)
- Treasury: 20% (9%)
- Marketing: 11.5% (3%)
- Airdrop: 6% (3%)
First, why did the price suddenly crash to 0.12 early on? Because the initial pool price was 0.1, which is the initial exchange price pre-set by the project team in the DEX liquidity pool.
As long as the coin price is above the pool price, the market has a large floating profit, and early investors are making money.
This is the opposite of IRIS’s coin price being below the pool price, so if possible, I would buy below the pool price because the cost performance is better at that price.
DOS has always been above the pool price, which also shows the project team’s strength, but don’t stray too far from the pool price, or there could be sudden dips anytime.
You can consider buying some spot, there are spot trading pairs available.
Provided $BTC does not fall below 80k, haha 🤣$ETH $BTC $SOL BTC is currently consolidating around 81592, ETH has dropped back to 2402, and $SOL is relatively resilient, holding near 104 with a slight pullback of 1.07%. On the surface, the declines across coins are limited, but the funding rate signals are worth noting: SOL 0.01%, BTC 0.0082%, ETH 0.0077%, all remain positive. Despite the market pullback, longs continue to pay shorts the funding rate.
Last night, the entire network saw liquidations totaling $436 million, with nearly 90% of liquidation orders being long positions, and 98,000 accounts forcibly liquidated. Among them, a large long position of 7.92 million entered at 81661 was directly trapped. Even after a round of liquidation, the remaining longs have not exited and continue to add positions. The persistently positive funding rate indicates longs have not been fully shaken out; these positions could become potential momentum for further downside in the market.
The options market also shows a one-sided bias, with BTC call options accounting for 60%, ETH call options exceeding 61%, and capital heavily concentrated on longs.
Multiple forces within the market are pulling against each other, causing the current stalemate: whales have cumulatively increased their BTC holdings by 89,000 over the past month, but ETFs have seen continuous net outflows in October, combined with contract longs stubbornly holding positions, resulting in a deadlock between bulls and bears.
Sentiment indicators are more truthful than candlesticks; the fear and greed index has fallen from 68 to 50, dropping 18 points in a single day, showing a rapid cooling of sentiment.
#10月FOMC临近，美联储暂停加息还有哪些变数？ $ENA
When the yield narrative encounters a pullback, which risk chain should be checked first?
In this morning's spot snapshot, ENA's 24-hour price change was -7.63%, ranging from 0.19474 to 0.21558 USDT.
For yield-related assets, it's important not only to look at income but also to consider hedging costs, funding sources, and liquidity matching. A price drop does not directly prove a mechanism failure but increases the necessity to verify buffer capacity.
If funding costs rise, compressing net spreads and reducing risk buffers, valuations should be adjusted downward; only when verifiable net income and stable demand recover simultaneously can the repair assessment be more complete.Having a plan to get a license does not mean the license is already in hand
The founder of Lighter said at the Q3 investor call on October 21 that in November they will apply to the US CFTC for two licenses: one for an exchange and one for a clearinghouse (TokenPost).
Note the wording: the application has not yet been submitted, let alone approved, and the CFTC review period is 180 days.
$LIT rose about 21% on October 21, surged to 3.9888 on October 22, and OKX's current price is about 3.3873, down about 8% in 24 hours.
I think this is a typical "price rises on the plan, then retraces before realization":
The positive news has already been priced in by the one-day rise, now it's just waiting for the documents.
Half of the team's and investors' LIT will start unlocking from late January 2027, so supply pressure has not yet arrived.
Observing, not chasing.
If volume supports a stable break above 3.9888 (the high on 10/22), then treat it as a breakout.
If it falls below 3.1005 (the low on 10/21), it means this positive rally has fully retraced, so stay away.
Do you think it will return to 3.99 next, or first drop back to 3.10?
$LIT
#Lighter计划申请CFTC牌照
#10月FOMC临近，美联储暂停加息还有哪些变数？ Yushu Technology is so bad that even dogs won't buy it!
But ironically, this "not even dogs want to buy" stock
today stubbornly surged over 22%, directly pushing my short position at 76.28 down to 93.88.
Looking at the -69% unrealized loss in my account, I didn't panic; I even felt like laughing.
Because this is not a fundamental reversal at all; it's purely a textbook short squeeze hunt by crypto whales using the positive news of cooperation with A-share "Galaxy Star".
On the 4-hour chart, the volume suddenly surged violently at the moment of the rally, resembling the roar before a meat grinder starts.
On-chain data shows this sharp rally triggered a series of short liquidations, with over $440,000 worth of shorts forcibly closed on Hyperliquid within just one hour.
The whales know human nature too well; they want to use this unreasonable violent surge to hang the short sellers on the mountaintop, then smash the market in a reversal.
Now the funding rate has plunged deep into negative territory, and mainstream positions are still biased short.
What does this mean? It means people like me who are bearish are still holding on desperately, but it also means the whales could launch an even harsher "bull trap to kill shorts" at any time.
Look at the bottom cards of this stock. Yushu Technology on the A-share market plunged 18.7% the day after listing, halved in 11 trading days, with a P/E ratio as high as 388 times, and even the company itself issued a notice warning of "valuation reversion risk."
A stock that even admits its bubble is severe, relying on cooperation news to pump the price in crypto—if that's not courting death, what is?
Therefore, this rally is precisely a perfect opportunity to add to short positions.
I won't cut my short at 76.28; instead, I will put the last bullet in above 90 at the high point. The whales want me to blow up?
Then let's see whose funds dry up first, theirs or my margin.
$BTC $ETH $UNITREE
#MetaQ3营收超预期，巨额AI投入引发担忧 Stop treating $MSTR, $COIN, and $CRCL as a basket of crypto stocks! This morning before the market opened, they all seemed to be recovering: MSTR bounced back near $147, COIN hovered around $169, and CRCL rebounded to about $87.5. But last night, the Nasdaq plunged 2.6%. The market is simultaneously questioning how much of the sky-high capital expenditures on AI can be recouped while worrying about oil prices reigniting. In this environment, crypto stocks can hardly thrive independently! Moreover, these three stocks are not even playing the same game! MSTR is influenced by Bitcoin’s direction, plus financing costs and valuation premiums; COIN depends on trading volume, USDC business, and user reward costs; CRCL is tied to USDC scale and also affected by reserve interest rates. New developments in stablecoin regulation don’t mean all three are profiting together, and business growth doesn’t equal synchronized profit growth! My judgment remains cautious! AI returns, oil prices, and Bitcoin trends all impact risk appetite. What really matters tonight isn’t how many points they gained pre-market, but who has real buying power after the open!This market is like a weather forecast saying "cloudy turning clear," you believed it, didn't bring an umbrella, and then got soaked through.
When $BTC was at 84,500, the 50-day moving average at 81,717 was supporting it, SMA 7 at 82,178, everyone said "the long-term bottom is still there." Then a bearish candle came down, breaking through both the 7-day and 50-day moving averages, closing at 81,412. Support? Even paper has more resilience than that. Bollinger Band %B collapsed from 0.44 straight down to the lower band, price running close to 80,225. What's more frustrating is that 85,000 was originally a strong support from a few months ago, but after breaking it, it has now become the toughest resistance overhead. $BTC didn’t fail to try; it tried but got slapped back down.
$ETH is what hurts me the most. The Bollinger lower band is at 2,355, the lowest it hit was 2,358, just three points shy, barely holding. The death cross of EMA50 and EMA200 is already on the chart, MACD at -5.45, RSI at 41, it seems like even bouncing up is squeezing toothpaste. But look at the capital flow—$ETH spot ETF has had net inflows for ten consecutive days, totaling $633 million, institutions are buying, yet the price keeps getting beaten below 2,400, monthly futures annualized premium is only 1%, leveraged longs don’t even have the desire to lift their heads. There is buying pressure, but buyers are not chasing. This is the most unfair thing about $ETH: it’s not that no one wants it, it’s that those who want it are waiting for a cheaper price. Just three points shy of breaking 2,355; if it breaks, below is a vacuum zone at 2,200, that’s not a correction, that’s a collapse.
$SOL’s story is even more ironic. Alpenglow upgrade, confirmation time reduced from 12.8 seconds to 150 milliseconds, the biggest consensus layer overhaul in Solana’s history, validator voting moved off-chain, node costs cut by 60%. And then? The price went from 107 down to a 100 defense battle, ETF funds are still flowing out, the on-chain transaction volume drop caused by the upgrade is being cited as bearish. The biggest technical upgrade in history resulted in the phrase "good news fully priced in." The upgrade itself isn’t wrong; the problem is the market had no money when it landed.
If you ask me who’s the most unfairly treated, I vote for $ETH. Not because it fell the most, but because people are clearly buying it, it clearly almost held at three points shy, the death cross is clearly there but the Bollinger lower band is starting to flatten, and the downward momentum is already fading. It’s like someone who scored 59 on a test—you say they didn’t try? They did, just one point short. But the market doesn’t offer a retake; if it breaks, it breaks, and 2,200 is waiting below.
But there’s one thing worth thinking about more: the entire market’s negative funding rate has lasted 47 consecutive days, the longest bearish cycle since the FTX collapse. Shorts are so crowded that any decent spot buying or short covering might not be a rebound but a short squeeze. ETH is the most unfair now, but if the "three points shy" scenario reverses, it could also be the one that bounces the hardest. What do you think? Who’s the most unfair in this wave? $BTC $ETH $SOL
#10月FOMC临近，美联储暂停加息还有哪些变数？ #MetaQ3营收超预期，巨额AI投入引发担忧 #存储芯片股再度下跌，AI投资回报担忧加剧 In 24 hours, an inflow of 528 million turned into an outflow of 380 million. The speed at which institutions turned against the market was even faster than a candlestick wick.
On October 21, the US spot Bitcoin ETF still showed a net inflow of $528.4 million, and the Ethereum ETF ended a five-day outflow streak, barely recovering 15 million. It looked like institutions were bottom-fishing, right?
But the next day, the table was flipped. The Bitcoin ETF reversed with an outflow of about $381.5 million, and the Ethereum ETF saw an outflow of 17.9 million, not even holding onto the small amount gained the day before.
But the real sting isn’t the numbers—it’s the timing.
At that time, the price of $BTC hadn’t yet fallen to the historically most sensitive “cut-loss line” for ETF holders. DWF Labs traced back 694 trading days and found that when Bitcoin’s closing price retraces about 7% from the 20-day high, ETF capital flow systematically flips from a daily average net inflow of 74 million to a net outflow of 72 million. On October 22, when that wave of withdrawal happened, the price was still just shy of that threshold—the institutions didn’t run after the break, they jumped the gun before it.
What does this mean? ETF capital flow isn’t a “leading indicator” at all; it’s a trend confirmer and an amplifier of sentiment. DWF measured a correlation of 0.54 between ETF flows and $BTC returns over the previous five days, but only 0.03 with returns over the following five days. In plain language: institutions are also watching candlesticks for signs to sell, and they exit more decisively than retail investors.
Add to that the macro stew: sudden US-China trade negative news, over $19 billion in forced liquidations in a single day draining liquidity, the Bank of Japan’s rate hike expectations suppressing global risk appetite, and the Fear & Greed Index stuck at 29, firmly in the “fear” zone. In this environment, the ETF inflows were like throwing a cup of water on a burning building—the direction was right, but the scale was far too small.
The market structure also tells the truth. $BTC repeatedly contested the EMA30 near 82,000, with strong resistance at 83,500–84,000. If the 82,150 support closes below, the short-term structure weakens immediately; $ETH is even more straightforward, failing to reclaim the mid-term moving average resistance at 2,480–2,505. Capital flows and price structure are resonating downward this time.
But the most important signal is hidden in the details: BlackRock’s IBIT was indeed the main force behind the outflows, but Morgan Stanley’s MSBT bought in over two million net inflow that day against the trend. Institutions aren’t running as a monolith; they’re sharply divided. When the biggest players are selling and others are buying, it means consensus is broken—a broken consensus is harder to trade than unanimous pessimism.
The next question isn’t “will outflows continue,” but: if $BTC really closes a bearish candle breaking that 7% threshold, will the funds that left early become an accelerator for a stampede?
What’s your take—is this a fake-out before a shakeout, or an orderly institutional retreat? See you in the comments.
#10月FOMC临近，美联储暂停加息还有哪些变数？ #MetaQ3营收超预期，巨额AI投入引发担忧 #存储芯片股再度下跌，AI投资回报担忧加剧 #10月FOMC临近，美联储暂停加息还有哪些变数？
$BTC $ETH $SOL
As the FOMC approaches, the rate market has priced in a 92.8% chance of a "pause," with optimism almost fully priced in advance. However, the more consensus there is on this expectation, the more we need to pay attention to the other side of the data.
Initial jobless claims have dropped to 194,000, near multi-year lows, indicating the labor market remains resilient and concerns about a recession have significantly eased. Against this backdrop, inflation stickiness has not been fully resolved, making it difficult for the Federal Reserve to immediately shift to easing. The so-called "pause" is more like a rhythm adjustment rather than the end of the tightening cycle, and high interest rates continue to suppress risk assets.
In the short term, the 10-year Treasury yield falling below 5% does provide some relief to overvalued assets. Tech stocks and crypto assets are sensitive to discount rates, and BTC's slight 0.4% rise reflects this logic. But this is more a valuation recovery driven by falling rates rather than confirmation of a policy shift.
The real variable lies in the meeting's wording. If the Fed frames the "pause" as a "hawkish pause," continues to emphasize inflation risks in its statement, and keeps the option to raise rates in December, the market's previously accumulated easing trades could quickly unwind. The issue now is not whether to raise rates, but how the Fed manages expectations.#AnthropicIPO Draft Reveals Massive Computing Power Commitments
The boss has something to say
Anthropic's IPO draft has been disclosed, and the data looks intimidating. Revenue in the first half of 2026 is projected at 16.3 billion, while last year it was only 1.1 billion. Net loss is 80.7 billion, but some commenters pointed out that 72 billion of this is a non-cash revaluation of convertible bonds, so the actual operating loss is about 8.1 billion. It's important to distinguish between book and cash.
The real killer is the computing power commitments. They have signed $450 billion in cloud computing agreements, with total commitments related to computing power and chips exceeding 600 billion, and potential total investment possibly reaching 750 billion.
I believe this is the most vulnerable point for AI giants before going public. Revenue is indeed skyrocketing, but to maintain growth, they have locked in massive computing power purchases in advance. Locking in huge computing power before the IPO means that if future revenue slows down, these commitments will become a huge financial burden. OpenAI is also pushing a $30 billion financing round; both companies are desperately hoarding computing power and competing for funds.
This is indirectly bearish for crypto. Giant IPOs and massive financing will continue to drain liquidity from the market. Bitcoin lacks incremental funds and is unlikely to strengthen in the short term.
Market reaction is muted, Anthropic up 0.54%, OpenAI down 0.78%.
Bitcoin took a waterfall drop last night; now let's see if the 80,000 level can hold. If it doesn't hold, expect a deeper pullback, with resistance above at 84,000 to 85,000. Don't chase the rally or sell in panic; set your orders with stop losses.
The above analysis is time-sensitive; orders must have stop losses set. Good luck. $BTC $ETH It's past 6 PM, BTC has been fluctuating all afternoon, while altcoins have shown a stark contrast, especially PEPE, which surged over 10% with a big bullish candle. Brothers who missed out, are your arms sore from slapping? Hold your hands for now and check the backend data.
First, look at $PEPE, currently around 0.0000049, surging fiercely. Checking the 4-hour long-short ratio, it plummeted from a high to 1.32, indicating that a large number of short-selling retail traders were forced to stop loss during the rally. This is a classic short squeeze, where the main force uses the shorts' liquidation to push prices up. Jumping in now risks buying at the peak of sentiment.
Next, $DOGE is just above 0.08, seemingly up only 1%, but the data is extremely abnormal. The 4-hour long-short ratio soared to 3.62, meaning retail traders are crowded on the long side. The position is too heavy, yet the price doesn't rise, showing huge selling pressure above. Short-term, be very cautious of a dump by DOGE whales to shake out long positions.
Finally, $SUI is at 0.99, like stagnant water. The 4-hour long-short ratio is as high as 2.76, also retail traders stubbornly holding, but open interest is clearly shrinking, indicating funds are withdrawing. Buying momentum can't keep up, posing high short-term risk.
Summary: PEPE is violently killing shorts, while DOGE and SUI have retail longs so crowded they can barely breathe. In such a market, chasing highs and selling lows is the worst. Wait for sentiment to cool down before looking for opportunities.
#10月FOMC临近，美联储暂停加息还有哪些变数？
#ETF单日流出超6亿美元，BTC价格能否企稳？
#交易之声：你的经验值得被听到 #Robinhood交易业务增长能否延续？ Revenue share has dropped so low that it no longer determines direction, but the "non-organic volume" masks the weakness in organic activity. In Q2, Bitstamp contributed $22 billion of the $40 billion crypto nominal trading volume, with more than half of the consolidated volume not coming from Robinhood platform's own organic activity. In July, Robinhood App's crypto nominal trading volume plummeted 74.4% year-over-year, Bitstamp also fell 44.5%, and overall crypto nominal trading volume dropped 62% year-over-year. Crypto is no longer the core growth story, but its continued shrinkage still acts as a marginal drag rather than a barrier, with a bearish outlook continuing.In the past 24 hours, $475 million has vanished into thin air. Long positions accounted for $435 million — this is not a pullback, it's a one-sided massacre. Bitcoin plunged from above 84,000 to 81,300, Ethereum lost 2,400 directly, and those chasing longs didn't even have time to set stop losses before their positions were wiped out.
But the really interesting part isn't the liquidations themselves.
ETFs are running, whales are accumulating. On the same day, Bitcoin spot ETFs saw a net outflow of $635 million, with BlackRock's IBIT alone withdrawing $254 million, wiping out the small inflows from a few days ago in one day. Institutions are reducing exposure, citing macro reasons — US Treasury yields, Fed hawkishness, geopolitical risks, each enough for them to hit the sell button. But on-chain activity tells a completely different story: 40 new wallets have withdrawn 9,458 $BTC, worth $770 million, from Wintermute since October, directly pulling from circulating supply. On one side, ETFs are retreating openly; on the other, whales are quietly buying. So who do you think is right? In the short term, ETF selling pressure is real, and prices are falling; in the medium term, whale accumulation is also real, with chips changing hands. Retail investors caught in the middle often make the mistake of equating "price drop" with "the bottom."
$ZEC is even more exposed. Two whales opened nearly $30 million in 10x long positions within 15 hours, betting on the November 5 NU7 upgrade — block time cut from 75 seconds to 25 seconds, a strong narrative. But at the same time, short positions total 173 million, with an 82% profit ratio and a long-short ratio of only 38%. Bulls are openly betting on the upgrade, while bears are quietly accumulating chips. The "faith" in 10x leverage didn't even have time to react to the 1368 spike. NU7 is a real catalyst, but a catalyst doesn't equal your personal stop-loss line. Washing out high-leverage longs before the upgrade is a classic move.
The current market isn't about "whether to catch the bottom," but "who will admit defeat first." Retail longs have already been cleared once, ETF selling pressure is easing, whale accumulation continues, and $ZEC bulls and bears are still probing each other. Wait until one of these forces clearly weakens before making a move. Until then, controlling your impulses is more valuable than anything.
#10月FOMC临近，美联储暂停加息还有哪些变数？ #MetaQ3营收超预期，巨额AI投入引发担忧 #存储芯片股再度下跌，AI投资回报担忧加剧 Gold at $4,000: The Fed Week Test and the Rise of Tokenized Gold Satya Crypto | Gold & RWA Radar | October 23, 2026 Gold is approaching a critical moment. After a period of elevated volatility, the precious metal is heading toward its weakest weekly performance in more than four months. At the same time, investors are preparing for the Federal Reserve meeting on October 27–28. For traditional market participants, the immediate question is whether gold can defend the psychological $4,000 level. FBrothers, I've been watching the market all afternoon, BTC is just drawing a horizontal line around 81600, moving only 0.13% in 24 hours. The seemingly calm market might be hiding a trap!
1️⃣📌Market Overview
On the liquidation map, there are 102 million short liquidations stacked around 82590, and 111 million long liquidations around 80870. Together, the two levels exceed 200 million. The longer the sideways movement lasts, the harsher the stampede will be once one side is triggered.
2️⃣📰Events
Tonight's PMI preliminary and Michigan final readings haven't been released yet. Big funds won't take a position before the results. My pending orders are only set until half an hour before the release; I'll reassess after the data drops.
3️⃣😟 ETH Concerns
Among the three major coins, ETH worries me the most. Contract open interest is still rising at 31.03 billion, with 58.61 million liquidated in 24 hours—the highest among the three coins—yet the price is stuck around 2393. The more it stays still, the more fuel longs accumulate.
4️⃣💰 Reference Orders
BTC: Place staggered short orders on rebounds around 82550, stop loss above 82900, targets first at 81500, then 80800; if it breaks below 80870 first, short half the position targeting 80150, stop loss above 81200; if it truly breaks above 82600 without turning back, accept loss on shorts and do not flip to longs.
ETH: Short around 2410, stop loss above 2450, target 2320.
SOL: Position cooling down by 2.44%, staying around 104, only follow BTC direction with half position. Max position capped at 30%, all orders withdrawn when time is up.
Don't bet on direction, only on position. Act when the position is right, otherwise just watch the show. According to official news, Ethena's synthetic US dollar USDe has been natively deployed on X Layer, and users can now hold and trade USDe within the X Layer ecosystem.
Project updates need to distinguish between technical completion and commercial realization. Code release, testnet launch, mainnet deployment, and actual user payment are different stages; progress in an earlier stage cannot be used to endorse results of a later stage.
The reputation of partners does not automatically translate into income for token holders. Whether business growth is passed on to tokens through mechanisms, and whether it depends on additional issuance or subsidies, determines if project development and token holding returns can be connected.
My focus is on delivered products and sustainable usage, rather than converting a single official announcement into an unfounded target price.
$BTCDon't just focus on the Federal Reserve! Policy easing + US stock market crash
Policy stance vs US stocks dragging $BTC, $ETH pulled between two forces
Policy side: The long-term anchor is stabilizing. In early October, CFTC and SEC aligned their stance, basically recognizing that Bitcoin, Ethereum, and XRP are not securities. CFTC is simultaneously advancing rules for crypto market structure, focusing on margin and leveraged retail trading. This means the "regulatory securitization discount" on BTC/ETH is gradually narrowing, representing a medium-term underlying support that cannot be ignored.
US stock side: Short-term pressure is real. On October 22, Nasdaq plunged 2.60%, closing at 26,008.86, with tech stocks sold off heavily due to doubts about AI capital expenditure returns. Risk aversion spilled over directly: BTC fell below $81,000, down 3.76% in 24H; ETH dropped 4.12%. BTC’s pricing feature as a "Nasdaq high-beta extension" is extremely evident at this moment.
Capital signals need caution. On October 22, US Bitcoin spot ETFs saw a net outflow of $635 million in a single day, the largest single-day withdrawal since June. ETF funds and prices are highly synchronized; this "running before falling" divergence should not be ignored in the short term.
Attention needed: The next key milestone is the Federal Reserve decision on October 28.
#10月FOMC临近，美联储暂停加息还有哪些变数？ The Federal Reserve hasn't held its meeting yet, but the market has already started pricing in December.
The overall US CPI in September rose 3.7% year-on-year, with core CPI at 2.6%, indicating that inflationary pressure hasn't fully eased.
For the FOMC meeting on October 27–28, the market currently leans toward keeping interest rates unchanged; however, a Reuters survey shows that most economists expect another rate hike in December.
Looking at the crypto options market, as of the public data on October 22, BTC's 30-day volatility index is about 37.3, and ETH's is about 51.1.
What we really need to guard against now is not just price fluctuations, but sudden changes in macro expectations.
Big brother watches interest rate expectations, ETH watches volatility, and don't blindly chase SOL's rise. Control your positions before the meeting and wait for the news to settle before seeing how the market moves.
The above is just a personal market record and does not constitute trading advice.
$BTC $ETH $SOL
#10月FOMC临近，美联储暂停加息还有哪些变数？ Evening Notes: 82,000 has been grinding all day, the real test comes tonight at 20:30
Conclusion first: Today's session was just grinding with no clear direction. The initial jobless claims data at 20:30 tonight will decide the fate. I won't take sides before the data.
Here are three key numbers:
1. The 1-hour close never once stood above 82,000 all day; the rebound highs dropped from 82,034 down to 81,915, getting lower and lower;
2. BTC current price is 81,804, with a daily change of -0.04%, basically flat; ETH at 2,407 is also grinding;
3. The lower boundary at 81,500 was tested twice this afternoon but not broken; both bulls and bears are waiting for the data to make a move first.
Tonight, focus on one thing, two options:
A. If the data breaks below 81,000, weakness is confirmed, look down to 80,000;
B. If the data helps close above 82,000 and hold, today's grinding session is invalid.
Tomorrow morning will reveal the truth. If I'm wrong, I accept the loss and won't try to make up for it. 4:38 PM, the crypto market suddenly changed! BTC hasn't turned green yet, but UNI rose by 2.32%, and PEPE surged by 9.52%! What exactly is the capital rushing for?
The market was still sluggish in the morning, but altcoins became active first in the afternoon. What’s more noteworthy is that Uniswap just launched Aggregator Hooks, linking protocol fees further with the UNI burn mechanism.
$BTC | 81842: The rebound is just one step away!
Current price 81842.00, down 0.09% in 24 hours.
Compared to 81466 at midnight, it has rebounded about 376 dollars, but 82000 is still not broken through. The short-term focus is on whether it can stand firm with volume, not just on the narrowing decline.
$ETH | 2409: Turned green, but didn’t outperform UNI!
Current price 2409.23, up 0.14%
2400 has been regained, but the increase is limited. If ETH cannot continue to strengthen, it indicates that risk appetite has somewhat recovered but has not fully spread.
$UNI | 7.230: The real change worth watching!
Current price 7.230, up 2.32%.
Uniswap Aggregator Hooks are now live, and related protocol fees can be used for UNI burning.
This means UNI’s value capture mechanism is further expanded, but whether it can continue to rise depends on actual trading volume and burn scale.
Summary: BTC decides the direction, ETH tests market breadth
#MetaQ3营收超预期，巨额AI投入引发担忧 Here, the “token” is equity, the governance is board/special-committee process plus super-majority shareholder votes, and the community is public markets plus Musk’s large personal stake.
The same questions apply: Is the exchange ratio fair? Does the structure preserve (or enhance) long-term optionality? Who captures the synergy value?
Successful combinations create denser, more efficient capital, and talent networks. Failed ones destroy trust and optionality.
$SPCX $TRUMP
Political topics continue, so why does the token still decline?
In this morning's spot snapshot, TRUMP's 24-hour price change was -5.64%, ranging between 1.718—1.844 USDT.
There is no automatic link between news exposure and token economic rights. When risk capital exits, ongoing discussions can coexist with price drops; mistaking topic popularity for demand can lead to underestimating selling pressure.
Only when the hype fades but stable support remains can sustained premiums be more credible; if every surge in topic interest is followed by a pullback, it should be regarded as a short-term sentiment asset.#存储芯片股再度下跌，AI投资回报担忧加剧 Recently, memory chip stocks have collectively plunged again, with leaders like SK Hynix and Micron falling sharply. The core issue behind this is not a lack of orders, but growing doubts about whether the massive investments in AI can actually be recouped. $SKHYNIX
A couple of years ago, the market was very optimistic, believing that AI giants would keep spending heavily on HBM, allowing memory manufacturers to earn money effortlessly. But now the sentiment has changed; investors realize that building AI data centers and buying chips are huge expenses. No one is sure when these massive investments will break even.
There is also the competition issue: Samsung and SK Hynix are both aggressively expanding production. Once HBM supply increases, prices can easily be driven down, squeezing profit margins. Even if current orders look good, capital is starting to worry in advance about future profitability. $SNDK
Coupled with last night's sharp drop in the Nasdaq, the entire tech sector is seeing valuation cuts, and memory stocks, which had risen a lot earlier, are naturally the first to be hit. Now it's no longer just about demand but about whether this huge AI investment can yield corresponding returns.
In summary: the industry still has short-term orders, but the market has begun to preemptively hedge against long-term risks. The memory sector is unlikely to rebound quickly in the short term; volatility will continue. This sentiment will also transmit to the crypto space, which is not good for high-risk assets. $BTC Public endorsement by the conflicted principal can accelerate momentum or invite extra legal and shareholder scrutiny that slows it down. Both dynamics are already visible.
What this means for markets (and why DeFi/crypto natives should pay attention)
From a pure capital-allocation view, the merger conversation is partly about the cost of capital for compute and physical AI. Debt-financed GPU and infrastructure spend is different from cash-flow-funded spend.
$SPCX The number on the monitor is not blood pressure; it is the single-day net outflow of $636 million from the spot Bitcoin ETF on October 22. Three days of transfusion were mostly wiped out by one major hemorrhage. IBIT lost $254 million, FBTC lost $218 million, together pulling back about 60% of the previous inflow of $107.5 million. This is not a price drop; it is a sudden reduction in circulating volume.
As a cardiac surgeon, I first look at hemodynamics, not emotions. A price crash is just the monitor alarm; the real lesion is at the perfusion end. The ETF channel is the coronary artery, funds are the forward blood flow, and redemptions are the retrograde pullback. Three days of fluid infusion just raised the preload, but within one day, two main branches simultaneously leaked blood. What does this indicate? It means this heart’s autoregulation has become dependent on external volume, not on its own pump function recovery.
DWF Labs’ research conclusion is crucial: ETF flows follow the market, not predict future prices. In the operating room, this means central venous pressure reflects volume status, not the cardiac output in the next hour. Making predictions by staring at monitor numbers is a rookie mistake. Those who treat ETF inflows as leading indicators are like mistaking a blood pressure cuff for the lesion itself.
Next, consider the linkage. Tech stocks fall, risk appetite weakens, BTC retracts from its uptrend. This is not isolated coronary artery spasm; it is right heart overload transmitted to left heart ejection. The linkage between tokenized US stocks and spot BTC essentially reflects the serial relationship between systemic and pulmonary circulation: when resistance rises on one side, congestion inevitably occurs on the other. The problem is not the rise or fall of any single asset but whether the entire circulation still has autoregulatory elasticity.
The core contradiction now is: will redemptions continue, and can spot buying buffer the downward pressure? My judgment framework is to first see if collateral circulation is established. Spot buying is collateral circulation; whether it can supply blood when the main vessel is drained determines if the myocardium will necrose, not whether the monitor looks good. If the $636 million redemption is just a single volume fluctuation, myocardial perfusion can be compensated by collateral circulation; if redemption becomes a sustained volume loss, that is a sign of pump failure, not solvable by fluid infusion.
But I want to point out a neglected detail: 60% of the previous $107.5 million inflow was offset, meaning that prior infusion itself did not fully convert into effective stroke volume. What does this mean? It means the quality of inflow was low, a short-term volume fill, not myocardial contractility recovery. This volume comes fast and goes fast; in the OR we call it “pseudo-filling.”
What really needs watching is not how much outflow today, but whether the depth of spot buying after redemption has thinned. If spot buying volume declines during price pullbacks, collateral circulation is also failing. At that point, the problem is not ETF flows following the market, but that the market no longer has enough perfusion pressure to maintain its own rhythm.
This heart is now volume-dependent; preload fluctuations directly transmit to stroke volume. Don't treat the monitor, treat the patient. The $636 million on the monitor is a symptom, not a diagnosis. The diagnosis depends on how much intrinsic myocardial contractility remains—and that number is not in Farside’s data. #btcetfoutflows636m#Robinhood交易业务增长能否延续？ HOOD's surge is not simply reliant on retail speculation. Its strong performance in Q2 (and throughout 2025) stems from the trading trifecta of "options + cryptocurrency + prediction markets," combined with the accumulation of net interest income and Gold subscriptions. A record $22 billion in net client inflows indicates its strong "asset accumulation" capability in wealth management (acquisitions of TradePMR, Bitstamp), making its fundamentals more solid than before.
• Continued high growth but with high base pressure: Looking back at Q3 2025, HOOD's revenue doubled year-over-year to $1.27 billion (driven by options and crypto trading boom). Entering this round (Q3 2026), although overall US stock market activity remains, the year-over-year base has significantly increased, making it harder for trading business to maintain "above-expectation" performance.
• New engine powering growth: The "Outcomes" segment (prediction markets) shown in the chart has become a new growth pole. In Q2 2026, its event contract revenue grew more than 10 times year-over-year, with an increased share of crypto prediction contracts. The Q3 earnings report should focus on this business's marginal contribution to trading revenue and the progress of tokenized stocks (Robinhood Chain).
• Interest rates and net inflows: Whether client net inflows can remain high and the Federal Reserve's interest rate path's impact on "net interest income" (a key fundamental) will be core variables in the earnings report.That is both a feature (aligned long-term vision) and a risk (conflict-of-interest scrutiny).
Tesla’s approval threshold 50% of all outstanding shares, not just votes cast - is deliberately high. SpaceX has already noted that any deal would still require its controlling shareholder’s approval.
This is classic control-premium and fairness-opinion territory. Veterans of the SolarCity episode will watch the independent committees’ process closely.
#SpaceXTeslaMergerTalks #SK海力士Q3财报在即，HBM4能否提振盈利？ Spot Bitcoin ETFs shed roughly $382 million on December 22, turning what had been two sessions of strong inflows on December 19 and 21 into an abrupt reversal. $BTC lost the $85,000 line that had held near $84,500 and slid toward $81,000 by mid-morning. The flows and the price are now pointing the same way, and that alignment matters more than any single print. The structure of the move is telling. $BTC led the outflow, while $ETH and $SOL gave up smaller amounts, about $17.9 million and $8.9 miThe Strait of Hormuz is the narrowest diagonal line on the entire board: only twenty-one nautical miles wide, yet it carries a flow of fourteen million barrels per day, just eighty-two percent of the previous level. This is equivalent to a heavily restrained major piece: it cannot move, but the opponent can capture it at any time.
The total flow is twenty-four million barrels, surpassing the pre-conflict level, which in military terms is called "appearing to have no weaknesses." But true masters never count pieces; they count how many forced moves the opponent still holds. The repositioned oil tankers, the named energy facilities, and the military options yet to be executed—these three stacked on the board are like pinned pieces pressing on the pawns controlling the passage: the structure hasn't collapsed, but every square is leaking.
Brent stands at $114, a five-month high. This is not called a price checkmate; it is called a risk premium checkmate. A checkmate never wins by capturing pieces; it wins by forcing you to make a move you absolutely do not want to make.
Now look at that linked line. The triple-leveraged semiconductor long position is essentially a light piece pushed to the very front of the king's wing: it promotes very quickly in a low-volatility middle game, but once the oil route diagonal is opened, inflation expectations rise, discount rates increase, and the pillar supporting its valuation will be pulled away from the rear wing. Leverage is not a piece; leverage is a clock. Every extra turn you hold it, you owe the board one more point of interest.
So the sequence of forced moves must be calculated like this: an oil tanker incident causes insurance rates to spike, effective capacity shrinks, spot premiums widen, Brent surges, inflation expectations are repriced, discount rates on long-duration assets rise, and high-beta, high-leverage targets are the first to be harvested by volatility. This chain does not need to complete; once the first two links are done, the triple leverage will multiply the impact back to you.
The most expensive lesson in my career has never been about not calculating deeply enough, but about stopping the tracking of forced moves when the situation "still looks okay." Twenty-four million barrels is the situation, fourteen million barrels is the tactic, and $114 is the clock. The situation can be assessed slowly, tactics must be responded to immediately, and once the clock enters the final countdown, all long considerations become worthless.
The art of sacrificing a piece lies in: you must clearly know which open line you gain by giving up that square; if you gain nothing, then it is not a sacrifice, it is a gift.
It is still the middle game, not the endgame. In the endgame, pawns can promote; in the middle game, pawns only get captured. The difference is whether you have counted those twenty moves before making your move. #MiddleEastOilSupplyRisk #美国多家银行限制AIAgent访问客户账户
"JPMorgan Leads the Ban: Intelligent Agents Forced Onto the Blockchain"
A fresh development has emerged on Wall Street these past days. JPMorgan, Bank of America, Wells Fargo, and Morgan Stanley have jointly cut off third-party intelligent agents.
Risk control investigations were shocked to find that these agents log in using customers' own passwords but secretly execute a bunch of unexplained commands behind the scenes. Traditional banks can't even tell which operation was initiated by whom.
Once this door is welded shut, it actually forces automated funds to move toward on-chain smart wallets. Bitcoin spot price remains solid above 81,600, with very strong trading throughout the day. $BTC First, consider the worst-case scenario. If the price breaks below the whole number level and continues to decline, leveraged positions may simultaneously face price pullbacks and stop-loss slippage. When I see this news, I first worry about how much I could lose, then look at the word "breakdown."
The material states that $ETH just broke below $2,400, but the current quote still shows $2,400, with a 24-hour change of -0.00%. This is the public market data for Hyperliquid perpetual contracts. My judgment is: short-term risks deserve attention, but this data alone is insufficient to confirm a downtrend.
⚠️ I will watch three risk points: there is precision uncertainty between the quoted price and the "breakdown" description, so the integer level cannot be treated as an exact trigger; an open interest of about $2.616 billion means there are still many open positions, and if volatility increases, leverage could amplify forced liquidation pressure; the funding rate is 0.0004% per hour, about 3% annualized, and a positive rate does not prove price support.
Additionally, a 24-hour trading volume of about $786 million does not equal current order book depth. In a sudden drop, stop-loss execution prices may deviate from expectations. My risk control advice for ordinary people: include slippage in the maximum loss you can tolerate per trade, and don’t just focus on the stop-loss trigger price.
When dealing with ETH fluctuations around whole number levels, how much stop-loss do you usually set per trade—based on price range or account equity percentage? Today's sharp decline in Asian tech stocks reflects dual concerns from investors about high interest rates and AI overvaluation.
On one hand, high oil prices have dashed global central banks' expectations for rate cuts, keeping funding costs elevated and suppressing risk asset pricing.
On the other hand, the market is beginning to reassess the input-output ratio of AI and semiconductors, no longer blindly buying into the narrative.
US stocks have the fundamental support of tech giants, while Asian markets are more susceptible to sentiment and liquidity shocks.
Domestic support funds can ease index declines but are unlikely to reverse valuation pressure across the entire sector.
For tech stocks to truly stabilize, beyond macro factors like a substantial drop in oil prices and other inflation indicators, the industry itself also needs to address capacity digestion and earnings realization issues.$BTC net inflow of 1 billion yuan this week to push the price up for three days—is this really a big positive???
First, look at $CL, which remains high and is in an upward oscillating trend!
But $BTC had a net inflow of 1 billion USD this week pushing the price for three days, so why did it drop completely in just one day on Thursday???
The US spot Bitcoin ETF had a net inflow of over 1.07 billion USD this week, led by BlackRock's IBIT, reversing the early capital outflow.
BlackRock's 1 billion USD had no big institutions following; on the contrary, it was a solo act by BlackRock!!!
Sudden large-scale capital inflow without sustained follow-up funds is more likely a bull trap operation.
According to the current basic market conditions, as long as crude oil does not fall in one day, BTC, ETH, and other risk assets will continue to be under pressure. This afternoon, the gains in AI chip storage have already been given back, and when the US stock market opens tonight, it is expected to decline further!!! #存储芯片股再度下跌，AI投资回报担忧加剧 $BTC $XAU Can gold reach $4600 by the end of the year? Conclusion: There is a chance, but it belongs to an optimistic scenario, not the baseline expectation, requiring multiple positive factors to align. To hit 4600, all of the following must be met simultaneously: 1. US inflation and employment data weaken, US Treasury real yields fall, and the dollar weakens; 2. Oil prices no longer continue to surge, no longer pushing inflation expectations higher; 3. Gold ETF funds flow back, combined with central bank gold purchases providing support. Three scenarios ✅ Optimistic scenario (low probability): Macro conditions turn fully dovish, gold price consolidates and forms a bottom, aiming for 4500-4600 range by year-end, most likely a pulse rally. ⚠️ Baseline scenario: US economic resilience remains, the Fed maintains high interest rate expectations, year-end range settles at 4200-4400, 4600 is hard to reach. ❌ Pessimistic scenario: December signals rate hikes, US Treasury yields surge, gold price continues to test 3900-4000 support. Key price levels
- Short-term support: 4000-4020, strong support at 3900
- First resistance: 4250-4300; only breaking 4500 lays the foundation to challenge 4600. Practical reminders
1. Do not treat 4600 as a guaranteed target, avoid heavy positions betting on this level; 2. Long-term central bank gold buying logic remains, but short-term is suppressed by interest rates, avoid blind bottom-fishing; 3. Gold and BTC are highly correlated, core factors are FOMC, US Treasury yields, and crude oil.
Summary: 4600 by year-end is not impossible, but the conditions are very demanding. If the Fed remains hawkish and oil prices continue to rise, it will be difficult to see 4600 by year-end 📉 The biggest liquidations in the past hour were not BTC, but ETH, with 96.8% being long positions.
$ETH liquidated 2,039,700 in one hour; $BTC only 213,300, a difference of 9.6 times.
The second on the list, SOXL, was also all long positions. Brother Ba Bai was liquidated by the spike at 8 o'clock, more than 10 times, stop loss at 30,000 U.
BTC moved only 0.1% in 18 hours, open interest rose from 3,060,000 contracts to 3,143,000 contracts, an increase of 2.7%.
The fee rate dropped to 0.00669% in the morning, rose back to 0.00753% in the afternoon, and the next period is set at 0.00851%, the highest today.
This is not liquidation but relocation: ETH longs were liquidated, funds moved to BTC to continue renting positions, which is getting more expensive.
Liquidation is a muffled sound, renewing the lease deducts money every hour, no one hears it.
Personal review, not investment advice.
Reconciliation: This morning said it would touch 80,000 before 20:00, the lowest only reached 80,924.9, off by 925, I was probably wrong; 82,300 was also not triggered.
New judgment: Tomorrow before 08:00 first touch 80,924.9, not first stand above 82,035.6. The latter was touched today, surrender line 82,400.
Is this turnover or renewal?
$BTC $ETH #ETF single-day outflow exceeds $600 million, can BTC price stabilize?#SK海力士Q3财报在即，HBM4能否提振盈利？
A "record high profit" is a highly likely event, with HBM3E as the main driver
As the community opinion states, AI inference demand is driving performance. In fact, in Q3 2025 (corresponding to the October 28 node in the chart), SK Hynix, thanks to the volume increase of 12-layer HBM3E and server DDR5, achieved operating profit exceeding 10 trillion KRW for the first time, setting a historical record.
HBM4 did not contribute significantly to profits in that quarter. Although HBM4 completed its mass production system construction in September 2025, actual mass production shipments and full-scale expansion mostly occur in Q4 2025 and 2026. Therefore, the Q3 "record high" was mainly driven by HBM3E and traditional memory price increases, with HBM4 being more of a "future expectation."
Can HBM4 boost profits? Yes, but with the costs of "capacity squeeze" and "capital expenditure"
Price increase and profit: HBM4 doubles bandwidth and improves energy efficiency, with supply prices about 50% higher than HBM3E, and has been locked in long-term contracts by key customers like NVIDIA. Next year's capacity is fully booked, and the high profit margin (about 60%) can significantly boost future profits.
Hedging traditional memory weakness: The community's mention of "hedging traditional memory weakness" is very accurate. HBM4 production consumes about three times the wafer capacity of traditional DRAM, heavily occupying general capacity, which in turn causes tight supply and demand and price increases for traditional DRAM/NAND; meanwhile, AI inference also drives demand for eSSD and others, presenting an overall "high-end shortage, full-category price increase" situation.