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🌐 ONEA NETWORK—Building around real needs.
Where does the value of a digital ecosystem come from?
It’s not just technology.
Not just attention.
And not just how many platforms it connects.
The question worth considering is actually quite simple:
Can it solve problems people face in real life?
Users want more convenient payments.
Businesses want to reach customers more effectively.
Creators want to serve audiences around the world.
Communities want to build meaningful connections.
Everyday users want digital experiences that are simple and reliable.
These needs don’t disappear when market tren
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Good morning from Thailand!!!
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Positioned a day in advance, the market played out as expected✅
Yesterday morning, I publicly shared a strategy calling for shorting BTC's rebound in the 81800-82000 range, targeting 80800-80500.
The market precisely touched the entry zone before coming under pressure and moving lower, bottoming at 80754 and perfectly reaching the second take-profit zone. The short position was successfully closed,
All forecasts played out exactly as expected. The trend doesn't lie; levels were published in advance, no hindsight calls—results speak for themselves.$BTC ‌#美国9月PPI大超预期
YangGuangbit
Yang Guang Bit | October 17 $BTC — Oil prices surge as tech stocks plunge; favor shorting rallies in line with the trend
【Today's Plan】
Entry: Place short positions on a rebound into the 81,800–82,000 range
Stop-loss: Above 82,300
Take-profit targets:
First target: 81,200–81,000
Second target: 80,800–80,500
【Key Takeaways】
BTC turned lower from last night's rebound high of 82,900, pressured by a surge in international oil prices and a sharp drop in U.S. tech stocks. It fell below 81,000 late at night and is currently trading around 81,520. The 4-hour moving averages are fully aligned bearishly, with price below all of them; the weak trend remains intact. On the news front, Trump said Iran's nuclear facilities could be targeted, while the U.S. and Israel held secret talks on strike plans; Brent crude surged to $110, stoking risk aversion. Fed Chair Warsh said he would not prejudge the rate decision, and expectations of an October rate hike fell below 15%. ETF net outflows on the on-chain CPI day exceeded 3,100 BTC, as institutional capital remained cautious. Weekend liquidity is thin. The intraday plan is to favor shorting rallies, with light short-term longs at support; avoid chasing one-way moves and stay aligned with the trend throughout. No trend-driven crash is expected.
$BTC ‌#比特币短线站上8.2万美元
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BTC+0.44%
I forgot I had a email address😂😭
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Saturday strategy: BTC long at 81000, in profit; zec long at 1120, in profit; ETH long at 2373, added to the position at 2353, in profit
BTC+0.36%
ZEC-0.03%
Growth Points Lucky Draw
Invite friends to join and win great prizes!
https://www.gate.com/activities/pointprize/?now_period=25&refUid=11796723
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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%
So that’s how you’re supposed to use a slide.
I’m such an idiot—I’ve been doing it wrong since I was a kid.
Crypto Firms Launch Quantum Alliance as 6 Million Bitcoin Sit Exposed
Nine blockchain organizations launched the Quantum Alliance, an open standards body designed to define what “quantum-ready” means and establish a common way to test and verify quantum-resistance claims across networks, wallets, and infrastructure.
The group warns that elliptic-curve signatures leave roughly 6.04 million BTC, about 30% of supply, quantum-exposed, citing forecasts pointing toward the late 2020s.
⚠️ Personal market analysis only. NFA — manage risk and DYOR.
Educational content, not investment advice or a recomm
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BTC+0.36%
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EIA data determines the short-term direction of crude oil
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Michael Saylor’s ParaFi talk shows how Bitcoin could move beyond treasury reserves into credit markets.
Using $BTC as digital capital opens new financial opportunities, but sharp price drops raise one serious question.
Who absorbs losses when collateral loses value?
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BTC+0.36%
If both parents come,
should I say,
“Although I have high expectations for children, your child is truly talented”🤣
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Those who’ve studied abroad really are different.
They swallowed it whole with ease.
🚀🏆 GATE WCTCS9 GLOBAL TRADING COMPETITION — THE ULTIMATE TRADING CHALLENGE IS HERE! 🌍📈
The excitement is building as the #GateWCTCS9GlobalTradingCompetition brings the spotlight to global trading, market strategy, and competitive performance! 🔥 Traders around the world are always searching for opportunities to sharpen their skills, test their strategies, and demonstrate their ability to navigate fast-moving financial markets. Competitions like this create an exciting environment where preparation, discipline, and smart decision-making take center stage.
🌎 A GLOBAL STAGE FOR TRADING AMBIT
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BTC MARKET UPDATE
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LIVE65
$XAUT 16% annualized through 12/1—not bad
XAUT-0.11%
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Technology has already raced into the future, but our understanding is still checking IDs at the door!
AI and big data are getting more and more powerful. They can look up information, analyze it, and identify risks. In the future, they may even be able to calculate social security issues with pinpoint accuracy.
A question suddenly came to mind: With technology this advanced, why is the first reaction many people have when Bitcoin comes up still, “Stay away from it”?
On one hand, there’s digital governance; on the other, a high degree of caution toward digital assets.
Technology has no borders
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BTC+0.36%
There is currently a view that fully listing all of Bitcoin's private and public keys would consume 100k times all the energy on Earth—in short, it is simply impossible to crack.
But I have doubts: if more advanced computers emerge in the future, could they accelerate this process and reduce energy consumption? For example, if future computers are designed by advanced AI and have extremely high computing power, could they greatly shorten the time required to brute-force all Bitcoin addresses?
I believe this is a question many people have.
Grok's answer:
**No.** Future computers (even if design
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BTC+0.36%
solana:9KDhovVA2kdjngkFooqEn5FoKkuZeDMYiQtVk7Lbm9up pumping
It was stuck under $100k so gave it boost $300 usd and cut size along the way up . This will go to $1 million +
9KDhovVA2kdjngkFooqEn5FoKkuZeDMYiQtVk7Lbm9up
#crypto
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SOL-0.40%
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