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#沃什IMF讲话 #每周来晒 The core of Warsh’s IMF remarks wasn’t that he was dovish or hawkish, but that he refused to signal either direction. Markets interpreted them in the short term as meaning “the probability of an October rate hike has fallen,” but the real impact is that the Fed’s rate path will be harder to predict going forward.
To be clear about the context: this was a fireside chat at the IMF/World Bank annual meetings in Bangkok on October 16. Warsh repeatedly emphasized that he wouldn’t prejudge rate decisions or say in advance what the Fed would do at the remaining meetings this year. The
SPX+2.25%
CRWV-11.90%
BTC+0.28%
You can spend years feeling behind, then one decision, one opportunity, or one unexpected connection can change your entire direction
Never underestimate what the next chapter might look like
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The base Discord roles were for aesthetics
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Good afternoon!
After making $44.84 million, Machi is now down $36.85 million and has been liquidated on Hyperliquid again.
On October 18, according to Lookonchain, Huang Licheng was completely liquidated again, nearly losing the 250,000 USDC he deposited two days ago.
The cruelest part of high-leverage trading is that past profits cannot protect future positions. Once the market turns against you, no matter how much you’ve made, you could give it all back through a string of losses—and even lose your principal.
Trading isn’t about who has made the most in the past; it’s about who can stay at
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USDC-0.02%
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$BTC Water over Heaven, Xu: Kan above, Qian below. Clouds are in the sky, but the rain hasn’t fallen yet; the Xu hexagram says to wait for the signal first, not rush to take the first shot.
The weekend barely managed a rebound. Yesterday’s high was 81,730, about 100 points below the lower edge of the rebound zone; the low of 80,740 briefly dipped below before recovering, and the daily close was 81,447. The current price is around 81,560, still below the daily EMA20 (around 82,650), with the four-hour RSI in the low 40s. Weak, but not fully washed out.
Wait and see: only discuss a short plan af
BTC+0.28%
$LSK Is this rally a trend reversal or a reversion to the moving average?
From a technical perspective, this looks more like a corrective rebound within a downtrend. $LSK The current price is 0.2081. MA5=0.21366 remains above MA20=0.2077, but the price has fallen back below MA5, and the short-term moving averages are starting to flatten as bullish momentum fades. The MACD histogram is still +2.414e-05, but the value is tiny, indicating weak bullish momentum near the zero line; RSI=52.0 is neutral, with neither overbought conditions nor divergence, and there is little momentum for a continued a
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TIA-14.80%
⚡ 𝗘𝗧𝗛𝗘𝗥𝗘𝗨𝗠 ($ETH ) 𝗠𝗔𝗥𝗞𝗘𝗧 𝗨𝗣𝗗𝗔𝗧𝗘
💰 Price: $2,405.70
₿ BTC Pair: 0.02948 $BTC
📊 𝗠𝗔𝗥𝗞𝗘𝗧 𝗣𝗘𝗥𝗙𝗢𝗥𝗠𝗔𝗡𝗖𝗘
🟢 1H: +0.12%
🔴 24H: -0.43%
🔴 7D: -4.08%
💎 𝗠𝗔𝗥𝗞𝗘𝗧 𝗗𝗔𝗧𝗔
📈 Market Cap: $293.85B
📊 24H Volume: $6.09B
🔹 Circulating Supply: 122.14M ETH
🔍 𝗠𝗔𝗥𝗞𝗘𝗧 𝗢𝗨𝗧𝗟𝗢𝗢𝗞
ETH is showing a slight hourly recovery, but its weekly performance remains negative. Traders may watch key support and resistance levels for signs of a stronger move.
⚠️ Stay focused on price action and manage risk carefully.
#ShareWeekly #USCPISoon
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ETH-1.64%
BTC-0.96%
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For now, AXIS can’t even see NeoSoul’s taillights
Looking at NeoSoul’s promotional lineup, excluding ordinary KOLs, there are Shapolang, Nida, Fengmi, AB Kuai.Dong, and Zhu Yidan—the top influencers across various niches. Then looking at Axis, it’s just a bunch of matrix accounts on Kaito
Also, NeoSoul’s event with OK was 600k U—it was U, not tokens
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DNA+2.80%
KAITO-4.98%
$FIS • Bullish: Coins moving from exchanges to private wallets means fewer tokens are readily available for sale. If withdrawals are spread across multiple addresses over an extended period, this is generally seen as accumulation or stronger intent to hold, easing short-term selling pressure.
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FIS+40.32%
#美股存储板块跌幅扩大
U.S. Memory Stocks Extend Their Losses: Is the AI Boom Facing a New Market Test?
Introduction: Pressure Builds Across the Memory Sector
The U.S. memory-stock sector is facing renewed selling pressure, bringing semiconductor valuations, AI-related demand, and investor expectations back into focus. As losses deepen, market participants are asking an important question: Is this simply a short-term correction, or are investors beginning to reassess the growth outlook for the memory industry?
Memory chips are essential components of modern technology. They support everything from pers
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$BTC $GT $ETH $SOL
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More bearish on #BTC than before, slightly bearish on U.S. stocks in the medium term. More bullish on AI applications. How will hyper be regulated in the U.S. in the future: a Uniswap-style exemption or onshore CEX regulation?
✖️Jin Ming’s latest interview: In the AI era, how can ordinary people place their bets?
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BTC+0.28%
HYPER-4.25%
UNI-0.92%
#美股存储板块跌幅扩大 Friday's session gave me a clear answer on how deep this storage selloff really is, so I rebuilt my sector notes from the numbers. Here is where I stand after the close on October 16.
The damage is big. Micron fell 5.63% on Friday and 14.6% on the week, while SanDisk dropped 6.85%, Western Digital about 7% and Seagate more than 7%, with the storage chip index down 17.6% on the week. SanDisk closed at $1,299.30, its seventh lower close between October 8 and October 16. Against its June high close of $2,335, that is about 44% lower by my math.
The bigger picture is even harsher. Six
Falcon_Official
#美股存储板块跌幅扩大 The Nature of the U.S. Tech Pullback Is Shifting: From Valuation Repricing to Credit-Chain Repricing
Many people are still viewing U.S. stocks through the old “AI pullback = buying opportunity” playbook. But if you only watch the Nasdaq and the Philadelphia Semiconductor Index, you may miss the most important change:
July was “AI valuation/positioning repricing”; October is a triple hit from “the AI credit chain + high interest rates + geopolitics/oil prices.” The latter is closer to a “credit-side preview” of the bursting of the 2000 internet bubble, but we’re not yet in a full-blown bear market.
I. July pullback: Expensive, crowded, but no blowup!
Trigger: Google/Meta/Tesla raised CAPEX forecasts, FCF turned negative, and the market asked, “When will AI spending pay off?”
QQQ fell from a June high of ~$748.65 to a July 29 low of $661.14, a peak-to-trough decline of 11.7%; QQQ fell 6.5% for the full month of July, and SOXX fell 21%.
The 10-year Treasury yield was at 4.6–4.75%; the VIX spiked to 20.66 on a weekly basis (+24%), but the broad VIX did not stay above 22. VXN reached 26, but there was no panic spike.
The S&P edged down, while equal-weight stocks rose; money rotated within equities (tech → Dow/healthcare/consumer). Bonds didn’t rally, and yields rose → this wasn’t a flight to safety, but “semiconductors are too crowded, trim them first.”
Outcome: The 200-day moving average at $645 held, and stocks recovered after August. This was a correction that could be bought.
II. October pullback: From “valuation” to “who can’t repay their loans?”
The logic behind this tech pullback since October is more like:
Borrow at a 15% cost to build compute capacity → rental income can’t cover interest → credit cracks appear first → semiconductor order expectations get cut → quite a few sell-side firms are using the 2000 internet bubble as a reference (the Nasdaq crashed, while long-bond yields fell from 6.5% to the mid-4% range).
Market action: It’s not a broad selloff; “highly leveraged growth + AI infrastructure” are being singled out for punishment. From 10/14–10/16, the Dow rose 0.67% for the week, XLV/energy were strong, the SPX fell ~1.95% for the week, and the Nasdaq fell 4.48% for the week (its worst since June); the Philadelphia Semiconductor Index (SOX) fell for 8 straight days (the longest streak since 2008);
Among individual stocks: CRWV fell 25% for the week, CDS breached 1000bp, and its 5-year default probability was priced at 60%+.
The 10-year Treasury yield fell from 5.3% to 5.07–5.19%, but this was a safe-haven decline as stocks fell and money fled into Treasuries, not a central-bank rescue; the VIX broke above 22, Brent crude topped 110, and tensions in the Middle East and Russia-Ukraine escalated.
Investor sentiment: the CNN Fear & Greed Index fell to 18, but it’s not yet at the extreme “2–4” levels seen in 2018/2020—meaning the market is shifting from “uncomfortably expensive” to “a little worried about credit,” but this is not a COVID-style liquidity collapse.
III. How have similar “credit-side + tech selloff” pullbacks played out historically?
The 2000 internet bubble burst: The Nasdaq was cut in half, then cut in half again from its peak, while the S&P lagged; valuations were hit first, then earnings, then credit, and bonds ultimately entered a bull market. The difference today: major tech issuers aren’t pure concepts; their cash flows/cloud revenues are real. So this isn’t a repeat of 2000, but “the 2000 credit playbook + the 2022 interest-rate playbook.”
The 2022 rate-driven growth selloff: The 10-year Treasury yield surged from 1.5% to 4.3%, QQQ fell 35% from its peak, and SPY fell 25%; the core issue was the “discount rate,” not credit defaults. The 10-year Treasury yield is now above 5%; megacaps are hurting, but banks/consumer/healthcare haven’t collapsed.
2018 Q4 deleveraging: The VIX spiked to 35, QQQ fell about 20% for the quarter, and stocks made a V-shaped recovery after the Fed turned dovish; the Fed isn’t as hawkish now, but inflation + oil prices mean it can’t turn dovish freely.
March 2020 liquidity black hole: The VIX hit 80, and stocks, bonds, and gold all fell together, with the Fed providing a backstop; there’s no COVID-style liquidity freeze now, and CRWV is an individual credit event, not a market-wide counterparty crisis.
Historical rules of thumb
“VIX above 20 + 10-year Treasury yield rising + tech leading declines” → usually the middle of a pullback, not the bottom.
“VIX plateauing at high levels + 10-year Treasury yield starting to fall + semiconductors no longer making new lows” → only then is it a signal to add to QQQ.
Until credit events (CDS widening, high-yield bond spreads widening) stabilize, every QQQ rebound is prone to being sold.
Historical timing reference: the July pullback took 3–5 weeks to recover; with an October-style “credit + rates + geopolitics” combination, a bottom usually isn’t in until the VIX returns to 16–18, CRWV bonds stop falling, and SOXX posts a high-volume candle without making a new low. This often takes 3–8 weeks; if credit spreads widen to Oracle/major tech bonds, it can drag on for a quarter.
IV. The counterintuitive point during earnings season: stock prices are falling, but earnings haven’t collapsed. In the first week of the new 26Q3 earnings season, about 9% of large S&P 500 companies had reported earnings. Stock prices are falling, but earnings haven’t collapsed—the declines reflect “discount rates + credit expectations,” not “current results.”
Companies that have reported: earnings up 29% year over year, revenue up 12.6%;
26Q1 earnings up 28.6%, 26Q2 up 50.4% → the strongest earnings cycle since 2021Q2;
Market pricing for full-year 2026: earnings up 32.8%, revenue up 12.7%;
Q3/Q4 earnings expectations: +29% / +28.6%;
The S&P’s forward P/E is 19.0: below the 10-year average of 19.1 and the 5-year average of 19.8.
This isn’t an “earnings collapse”; the market is getting ahead of three fears:
① AI CAPEX returns in 2027 will fall short of expectations;
② 10-year Treasury yields at 5%+ will discount long-duration assets;
③ AI credit-chain players like CoreWeave will blow up first.
So this is neither 2000 (earnings fraud/disappearance) nor 2022 (earnings downgrades + interest-rate battering). It’s “earnings are very strong, but valuation logic is being repriced for credit risk.”
V. Why is the week of October 19–23 a turning point?
This isn’t an ordinary earnings week. It’s a week to “use real-economy cash flows to rescue tech valuations.”
1) Wednesday’s two pillars: META + TSLA
What to watch for in META:
Will CAPEX be revised higher again, how are advertising/AI monetization progressing, and what is happening with free cash flow?
If it says “we’re continuing to invest more in AI, but ROI is clear” → it eases July-style spending concerns;
If it says “returns are slower than expected” → QQQ could sell off again.
What to watch for in TSLA:
It’s not just a car company; it’s a high-beta proxy for “AI / robotics / energy storage.”
Deliveries, gross margin, FSD, and what it says about Optimus matter more than sales volume.
A weak TSLA → high-beta tech sentiment could collapse again.
2) Industrial / defense / payments: proof that “the non-AI parts of the economy are holding up”
GE, RTX, NOC, LMT, MMM, UNP, CAT names (URI), AXP, COF:
Industrial orders = the temperature of the real economy;
Credit cards (AXP/COF) = consumer resilience and delinquencies;
Defense (RTX/NOC/LMT) = a geopolitical premium, but with budget constraints.
If they hold up, investors will be more willing to stay in SPY / XLI / XLV rather than go back to catch the falling knife in QQQ.
3) Macro anchors
Tuesday: housing starts / existing-home sales → has housing frozen under 5%+ rates?
Thursday: initial jobless claims + leading indicators → are there cracks in employment?
Friday: manufacturing / services PMI → soft landing or a second downturn in manufacturing?
These data will determine whether the 10-year Treasury yield holds 5.0% or surges to 5.3%–5.5%, and will directly determine the discount rates for SPY / QQQ.#WCTCS9
MU-5.66%
STX-7.45%
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The internet has already changed how people do business.
Today, small businesses can sell products overseas, creators can build global audiences, and freelancers can serve clients thousands of miles away.
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Bitcoin Support and Resistance Levels
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If both parents come,
should I say,
“Although I have high expectations for children, your child is truly talented”🤣
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