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🔥 $ENSO
is facing strong bearish pressure after breaking below a key support level! The price has fallen more than 7% in the past 24 hours, and consecutive red candles indicate strong selling momentum. If sellers continue to dominate and the current support level gives way, ENSO may continue to fall toward lower targets. 📉Take profit: 0.2181Stop loss: 0.8137Short $ENSO 👇
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ENSO-7.14%
$ETH Buying Setup
Entry: CMP and 2345 TP: 2532 SL: 2318
I was waiting for this zone since morning, and now I'm even more eager to go long after seeing the reaction
#TraderGauls🎭
$ETH Buying Setup
Entry: CMP and 2345 TP: 2532 SL: 2318
I've been waiting for this zone since morning, and now I'm even more eager to go long after seeing the reaction
#TraderGauls🎭——————————————————————————————--------------------------------$KMNO $VCNT $FLR #U.S. PPI rose to 6.3% year over year
ETH-0.28%
KMNO+1.83%
FLR-0.97%
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$Anyone here like hairy crabs
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#KOSPIJumps3.3% 📈🇰🇷 | South Korea’s Stock Market Strikes Back!
After a brutal sell-off, South Korea’s KOSPI delivered a powerful rebound on October 16, climbing as much as 3.31% to 5,738.18 during the session. The bounce followed a 7.57% plunge the previous day that rattled investors and triggered a temporary trading halt.
🔍 What Fueled the Recovery?
🇺🇸 Wall Street offered relief: Gains in US equities helped restore some confidence across Asian markets.
💻 Chip stocks bounced: Samsung Electronics and SK Hynix recovered as investors r
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#USSeptemberPPIBeatsExpectations
🚨 US September PPI Beats Expectations: A Major Signal for Markets! 📊🇺🇸
The latest US Producer Price Index (PPI) report is attracting significant attention across global financial markets as producer inflation comes in stronger than expected. This development puts inflation trends, Federal Reserve policy, Treasury yields, the US dollar, and risk assets back in the spotlight.
📈 Why Does PPI Matter?
The Producer Price Index measures changes in the prices businesses receive for their goods and services. Because producer costs can influence consumer prices ove
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BTC+0.36%
ETH-0.28%
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I'm trading on Gate, a top-tier exchange with a 13-year track record. Come join me and dive into the hottest events right now! https://www.gate.com/campaigns/6610?ch=8572&ref=VLFCVA8MAQ&ref_type=132
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#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%
The next 6-12 months will completely change your life. Bitcoin will rise to $25,000.
ETH will break above $1,000.
SOL will rise to $1,500. Altcoins are set to explode. Stay patient 🤝$BTC ETHSOL USPPIRises6.3%YearOverYear
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BTC+0.36%
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LIVE54
$XMR Breakout! Early buyers are reaping big gains
Remember when I recommended buying $XMR below $400? Look at the price now. XMR has nearly reached $600, and buyers who entered around $400 are up nearly 50%. This is exactly why I always say to buy near strong support instead of chasing prices after a major rally. Bullish momentum remains strong, and the price is currently testing the resistance zone around $600. A decisive break above $600 could pave the way for further gains toward $650 and $700. Early buyers are already sitting on substantial profits. This breakout is unfolding as expected.
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XMR+0.00%
#美国9月PPI大超预期
ETH My 2594 short position is deeply in profit at the current price of 2408.02; 2432 will determine direction.
Market: Price pulled back from 2594 on the 4H chart, bounced weakly after bottoming at 2318, and now sits at 2408.02 (down 0.45% in 24h). EMA7 (2416.70) and EMA20 (2432.63) are overhead resistance, while EMA60 (2486.93) is trending down. The bearish trend continues, with a weak rebound.
P&L calculation: 2594 - 2408.02 = 185.98 points, with unrealized profit continuing to grow substantially.
Key levels: Support at 2356.79/2318; resistance at 2432.63/2486.93
Outlook: Rejec
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ETH-0.28%
A piece of software for training Agents. Automated trading Agents for prediction markets, contracts, memes, and more can all be trained with it.
This time, I got @NeoSoulAI’s NeoTrade up and running and recorded a demo of it trading on a prediction market.
First, a note: the video shows simulated trading. The positions and PnL shown are simulated data and do not involve real funds.
I launched two Agents. The video shows them running, along with their orders and positions. It also demonstrates adjusting strategies through conversation and configuring your own model API.
During testing, I’m more
MEME-3.49%
$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+26.66%
Some Meme coins have no practical use at all, so why are their communities still so active?
PEPE’s Pepe the Frog and Dogecoin’s Shiba Inu Kabosu are both meme characters that have circulated online for many years.
When dealing with communities where only praise is allowed and anyone who mentions risks gets attacked, stay a little more level-headed.
$DOGE It first became famous through small tips and charitable activities, and is representative of Meme community culture. Currently at 0.07935.
If you have any beginners among your friends, you might as well forward this to them.
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MEME-3.49%
PEPE-3.34%
DOGE-0.76%
Good morning from Thailand!!!
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Vance’s response says a lot. They asked whether he’d seen any corruption, and he pivoted to Trump’s business interests—basically, he didn’t answer. With this White House mess, the question was “What did you see?” and the answer was “What do you suspect?” Those are pretty far apart. Where should we set the stop-loss?
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A Bitcoin whale dormant for 12 to 13 years suddenly awakens, transferring 416.69 BTC for an unrealized profit of about $33.71 million!
On October 18, two long-dormant wallets transferred BTC worth about $33.82 million to the same address. These assets were originally worth about $105,400, representing an astonishing gain over more than a decade.
But a whale transfer doesn’t necessarily mean a sell-off. What’s really worth watching is where the funds go next: a transfer to a private wallet may not affect the market, while funds flowing to an exchange could signal potential selling pressure.
The
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BTC+0.36%
Don't fall into the trap of self-justification,
Regularly ask yourself about your core position: if you didn't hold it today, knowing the information in front of you, would you still be willing to buy it?
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