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NEW STREAMER (Bitcoin Update)
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🌐 ONEA NETWORK—the future of the digital economy should be user-centered.
Every day, people create value on the internet.
By sharing content, building communities, using digital services, making payments, and participating in online commerce.
But behind the convenience, there are also issues worth taking seriously.
Who controls the overall user experience?
How is personal information handled?
Can users switch freely and easily between different services?
As more aspects of daily life move into the digital world, these questions will become increasingly important.
🔗 Better Digital Experiences
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Bullish on $PARTI .Position Entry: 0.02823 - 0.02886Profit Target 1: 0.03015Profit Target 2: 0.03143Risk Limit: 0.02710Catching the knife at lows for a quick oversold bounce. Let's print!Support the idea here.Watching this market pair: $Q and $EPIC .
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PARTI-16.88%
EPIC+21.55%
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#USSeptemberPPIBeatsExpectations
🚨 US September PPI Beats Expectations: A Major Signal for Markets! 📊🇺🇸
The latest US Producer Price Index (PPI) report is attracting significant attention across global financial markets as producer inflation comes in stronger than expected. This development puts inflation trends, Federal Reserve policy, Treasury yields, the US dollar, and risk assets back in the spotlight.
📈 Why Does PPI Matter?
The Producer Price Index measures changes in the prices businesses receive for their goods and services. Because producer costs can influence consumer prices ove
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BTC+0.36%
ETH-0.28%
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$EACC You damn market maker, give me a rebound so I can lose a little less and get out, will you? You’ve already made $2 million—throw a little money in to pump the market. Don’t be too ruthless, or your kid will be born without an asshole
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EACC-15.49%
Tomorrow I start a 3 week run, if all goes well I’ll get my own Peterbilt
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Layout: Bitcoin, Ethereum, Dogecoin
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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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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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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%
The Fear & Greed Index is still in neutral territory, yet DOT has already fallen 5%. Is this a delayed correction or a weakening trend? The answer leans toward the latter: broad-market sentiment is not fearful, rebound momentum is lacking, and DOT’s moving averages are bearishly aligned while the MACD histogram remains negative, indicating weak follow-through rather than an independent move.
$DOT Current price: 1.11. MA5=1.1108 has crossed below MA20=1.1284, with the short- and medium-term moving averages forming resistance; RSI=40.8 is in the neutral-to-weak zone and not yet oversold, sugges
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DOT-4.68%
HYPE-1.09%
WLD-5.75%
$XAUT 16% annualized through 12/1—not bad
XAUT-0.11%
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Those who’ve studied abroad really are different.
They swallowed it whole with ease.
$BR This wick was beautifully drawn by the market maker. After sweeping 0.3541, it shot straight back to 0.4684. A 22.68% 24-hour range and 112.5M in trading volume: retail investors see a massive surge; I see a script.
Let’s run through the market maker’s playbook: place fake buy orders around 0.35 to prop up the market and get panic sellers to capitulate, then use wash trading to pump volume and push past 0.45, triggering short stop-losses, before using the 22% gain to stoke FOMO. The 24-hour high of 0.5370 is a test level. There isn’t much overhead supply, but the 0.50–0.53 range is crowded
BR+23.37%
Two wallets dormant for over 12 years woke up and transferred out all 417 $BTC ($33.85M).
When these wallets first received their $BTC, the price was just $127 and $355, respectively. Their returns are now 638x and 229x.
BTC+0.36%
Sunday morning—time for a cup of coffee to wake you up!
SpaceX’s first full quarterly earnings report is about to be released. What the market really cares about isn’t how fast revenue is growing, but when its AI investments will start translating into profits.
Second-quarter revenue rose 92% year over year to $7.81 billion, but the company still posted a net loss of $541 million. The market expects third-quarter revenue of around $12.86 billion, with Starlink growth, AI revenue, and massive capital expenditures set to be key areas of focus.
My take: beating revenue expectations is just the fi
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SPCX-1.74%
$ICNT Down 29% in one day. At 0.1530, I’m just watching and waiting for two price levels.
Here’s the conclusion first: whether 0.1530 is a continuation of the downtrend or a golden buying opportunity depends on whether 0.1480 holds. The 24-hour low of 0.1522 is right below us, and trading volume of 378 million shows real selling pressure, not a liquidity vacuum. With a high-volume drop of this magnitude, some people have already been buried trying to catch the falling knife. I won’t be part of the next batch.
Fundamental view: ICNT has plunged from 0.2739, a 44% drop, but there’s no sign on-c
ICNT-28.28%
$Anyone here like hairy crabs
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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%
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%
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