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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%
$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%
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Good morning mate
Alhamdulillah ❤️
Web3 did again
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Major bullish news!!! Utexo, backed by GATE, is a development team led by Tether that aims to bring USDT back to BTC through the RGB protocol!
Recently, GATE and Utexo jointly announced that RGB-based USDT is set to launch on GATE before the end of this month!
The RGB protocol is a protocol Tether has invested in and developed for ten years. PPRGB is the leading asset in the BTC ecosystem's RGB protocol and will also be the ultimate leader to surpass ordi!
Smart money, start paying close attention to and researching RGB and PPRGB!
BTC+0.28%
ORDI-3.72%
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#日韩股集体大跌
KOSPI +3.3%: A relief bounce or the start of a recovery?
My initial assessment: This appears to be a potential relief rally; however, a single strong session is not enough to confirm a broader recovery. The key question is whether semiconductor stocks can sustain this rebound following the sharp sell-off, or if the gains are merely driven by short covering and bargain hunting.
The gains seen in Samsung Electronics (+3.6%) and SK Hynix (+3.4%) are particularly significant, as the South Korean market is highly sensitive to semiconductor sentiment and the global AI-memory trade.
What is
SK Hynix+0.79%
MU-5.66%
SNDK-6.90%
NVDA-1.42%
Opened Surf and got 10 shares of $NVDA —down
Sold 26 $HYPE at a cost basis of 90—down
Positioned in XDOG, LAIKA, and IGNIX last month—down
Even the U exchange rate I was holding has fallen to 6.65
I roughly calculated that my losses over the past month are greater than the salary I earned on x and the interest I made from putting money into defi.
Damn! What the hell did I even come here for???
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NVDA-1.42%
HYPE-1.43%
"In a world full of noise, you are my quiet peace. 📷📷"
$ETH
2419 stuck in the middle, uncomfortable whichever way you turn? 👀 75% of traders are crowded into longs, yet prices have been drifting down for a week and open interest has fallen nearly 7%—longs are capitulating, triggering a long squeeze! A rebound to 2441 is an opportunity for bears; don't wait until it breaks below 2397 to get out 😏
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ETH-0.45%
$BNB Long positions are building… buyers are fighting back
BNB is showing signs of recovery after bouncing off the 710–713 support zone. Buying momentum is returning, and a break above 723.50 could open the way toward 735. Entry: 719–723 (long) Take-profit 1: 727 Take-profit 2: 731 Final target: 735 Stop-loss: 713 As long as BNB holds above 713, the bullish recovery pattern remains valid. A decisive break above 723.50 would further strengthen upward momentum.
BNB: Watch for the next bullish move, trading on $BNB
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BNB-0.15%
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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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Finding opportunities in $UNI through cycle resonance, with levels and exit lines here
$UNI There is a very typical debate right now: one side cites the 24-hour -0.08% move as proof of direction, while the other counters with key levels. I’m not taking sides based on the price change for now, because $UNI has already moved on the 1-hour chart, but the 4-hour chart hasn’t confirmed it and still hasn’t given a complete answer. I’ll treat the short-term chart as a reminder, not a conclusion; without confirmation from the larger timeframe, direction can still shift.
My view is that I’d rather see
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UNI-0.92%
EIA data determines the short-term direction of crude oil
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LIVE1,324
new market update
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LIVE1,203
$Q With the same 1,000U, the outcomes can be worlds apart: buying at yesterday’s low of 0.0608 versus chasing today’s high of 0.1500—one account doubled while the other was cut in half.
Here’s what I did: I scooped up spot at 0.0680 with a 30% position, set a stop-loss at 0.0580, and sold out in batches at 0.1420 in the early hours. Why buy? The 24h low was 0.0608, and I was watching for the first volume spike after a 90% drop. A trading value of 980.7M isn’t something retail traders can generate on their own. Why sell? 0.1500 was the 24h high, and a 99.04% gain had already pushed sentiment to
$BTC Excess funds are flowing out faster, and the crash floodgates have only just opened! Capital is fleeing ahead of the midterm elections; the decline is far from over! Short the rebound pumps and move straight into a palace!
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BTC+0.28%
A piece of software for training Agents. Automated trading Agents for prediction markets, contracts, memes, and more can all be trained with it.
This time, I got @NeoSoulAI’s NeoTrade up and running and recorded a demo of it trading on a prediction market.
First, a note: the video shows simulated trading. The positions and PnL shown are simulated data and do not involve real funds.
I launched two Agents. The video shows them running, along with their orders and positions. It also demonstrates adjusting strategies through conversation and configuring your own model API.
During testing, I’m more
MEME-4.10%
𝐒𝐓𝐎𝐏..... 𝐒𝐓𝐎𝐏..... 𝐒𝐓𝐎𝐏 🚨$BT A liquidity sweep may happen first.
Before Bitcoin’s next expected major rally, I’ll be watching the $70 range.
Here’s my reasoning 👇🔻 A liquidity cluster below the market could trigger a sharp drop. 📉 Expectations of interest rate hikes could add more pressure and accelerate selling. ⚠️ People chasing longs may get trapped, while investors lacking confidence may be forced to exit. But here’s the key… A drop alone doesn’t confirm that a bottom has formed. Before turning bullish again, I want to see a liquidity sweep, strong buying pressure, and a c
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75KM
75KM75KM
Pump.Fun
MC:$230.86Holders:1
5.34%
BTC+0.28%
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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%
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