$ETH
ETH contracts have once again staged a leveraged massacre
24-hour liquidations surged to $356 million
Holy crap, guys
The longs got absolutely wrecked this time
They were relentlessly ground into the floor
$1.19 billion was liquidated across the entire market
Longs accounted for $1.06B
ETH alone saw $356 million liquidated
BTC saw $298 million
Just looking at the numbers, they seem fairly similar
But based on market cap
ETH took six times the beating that Bitcoin did
How brutal is that?
Da Chui has been warning for a long time
that Ethereum was going to drop
and also posts the intraday E

$SENT /USDT Perp – "Weak Recovery – Short"**
Trading Plan Short $SENT
Entry: 0.02100
SL: 0.02139
TP1: 0.02024
TP2: 0.02000
SENT is down -15.96% and rejected below the 0.02139 level after the 0.02471 high. MACD is negative; targeting the 0.02024 low.

Was great to see man Hyperliquid frens in real life.

Does tonight’s U.S. stock market action make you feel that AI-related stocks are running out of steam?
The three major indexes all closed higher, with the Dow leading gains at 0.83%. Overall, the market was actually recovering, but a close look at capital flows reveals some subtle signals.
The chip giants that have long served as the engines of bull markets—$NVDA , $MU , and $AMD —all pulled back slightly today. Meanwhile, $TSLA and $SPCX , which combine hard technology with physical manufacturing, posted impressive gains.
The market had previously overhyped AI computing power and memory play

OpenAIAnnualizedRevenue20BBelowReports $AMZNBillion vs. $GOOGLBillion: The Revenue Gap Testing the AI Growth Trade
The Number That Changed the Conversation
OpenAI’s annualized revenue was reported at approximately $NVDAbillion at the end of September 2026, around $ORCLbillion below the $MUbillion figure that investors and media reports had previously associated with the company. The Financial Times reported the discrepancy on October 8, and the story continued to drive market discussion on October 9. The critical distinction is that this is a gap between reported revenue estimates and expectat

This time in Singapore, the cost of taking taxis really hurt.
That day, I hailed a car from Marina Bay Sands to New Bahru, and the driver immediately asked for 75 Singapore dollars, saying it was because of traffic congestion—nearly RMB 400.
In the end, I booked a ride through Grab, which cost 25.3 Singapore dollars, about RMB 132. The entire trip was 4.49 kilometers and took 15 minutes.
I checked Nanjing on a whim: from Lukou Airport to Xinjiekou, nearly 40 kilometers away, a budget ride plus highway tolls costs only around RMB 50–60 one way.
Based on this price, what I actually spent on this

🔥 $C98
Guys, going heavily long again now, Yang is here 💰 Entry: 0.0195–0.0198 Take-profit 1: 0.0220 Take-profit 2: 0.0260 Take-profit 3: 0.03165 Stop-loss: 0.01740 Long $C98 👇

Many people’s first reaction upon seeing a 16% 24-hour gain is “Can I still chase it?” This is precisely the most typical position trap at high volatility levels—the larger the gain, the smaller the remaining upside, while pullbacks are often faster than rallies.
$GM Current price 0.00925, 24h +16.06%, trading volume 6.6M USDT, making it a typical small-cap, high-beta asset. The current Fear and Greed Index is 64, in the greed zone, meaning bullish sentiment has already been fully priced in; chasing the rally at this point offers an unfavorable risk-reward ratio. Technically, the price has de

Bro, this physique is unbeatable.

Good Morning Friends
Can I Get GM Back?🔙😃🩶

join me Friends $NVDA ‌

171 pump followers now! Haha

$US Yesterday, many retail traders went short halfway up and suffered considerable losses. I said long ago that we could continue going long—those who listened early have already taken profit.
Today, the approach for US is still to continue going long.
Why can we still go long? Because yesterday’s new high at 0.036 failed to stabilize and quickly fell back, proving that the resistance above is too strong and causing some selling. However, on-chain funds have started flowing out in large amounts again, so it will continue testing a breakout to a new high.
#CRCL领涨加密股

GatePartnersWithVisaToLaunchCrypto-LinkedCard
Crypto is easy to buy when the market is moving. The bigger question is what happens when you want to use it in real life.
I can hold USDT for stability, buy Bitcoin for long-term exposure, or trade Ethereum when an opportunity appears. But when it comes to paying for groceries, booking a hotel, or shopping online, digital assets still need a practical bridge to everyday payments.
That is why the collaboration between Gate and Visa to launch a crypto-linked card caught my attention.
The interesting part is not simply having another card. It is the

🚨 ONE YEAR AGO, CRYPTO LOST OVER $19 BILLION IN A SINGLE DAY.
October 10, 2025. One of the biggest liquidation events in crypto history.
🔴 $16.69B in longs liquidated
🟢 $2.46B in shorts liquidated
Traders got wiped out. Leverage turned brutal. Billions disappeared in hours.
The lesson? Never underestimate risk in crypto.
The market can change in minutes. Are you prepared? $BTC ‌$ETH ‌

If BTC falls below $78,954, the cumulative liquidation intensity of long positions on major CEXs will reach $1.202 billion. Conversely, if BTC breaks above $86,682, the cumulative liquidation intensity of short positions on major CEXs will reach $1.137 billion.
It should probably dip below first and then rise, right?

10.10-10.11 Weekend ZEC strategy
Priority execution $ZEC long strategy
　　Entry range: lightly go long on a pullback near 1210, add near 1200
　　Stop-loss defense: near 1190 (set according to position size; execute planB if it breaks below)
Take-profit levels
　　First take-profit: near 1230 (touching the upper Bollinger Band)
　　Second take-profit: near 1250 (short-term high resistance)
Third take-profit: near 1290 (medium-term high-volume trading zone)
Long-term target: near 1300 (form a long-term position layout following the pullback trend)
Operational factors: The Boll

#晒出我的持仓收益#
The pullback lasted less than 4 hours before continuing to rebound upward. Nothing can stop AI’s development except the destruction of Earth. All in AI!