Alert! 270 million in funds fleeing, are longs about to face massive liquidations? $ETH Absolutely do not buy the dip!
Be fearful when others are greedy; understand the cards before you avoid getting stuck holding the bag!
Looking at the ETH chart, the moving averages have crossed bearishly and are trending down—the downtrend is set! Combined with fund flow data, there was a strong outflow of 270 million in 1 hour, with extremely heavy selling pressure. The whale that added 9,000 coins is still holding on at an average price of 2553—a classic case of being stubborn. Only 13.48% of longs are p

The trend is down and funds are flowing out. The current rebound is most likely a trap set by major players.
‍$XRP The current price is 1.3395, rebounding from the bottom on the 1-hour chart. But the fund flows are extremely contradictory: funds are flowing in over the short term (1h-4h), while the long-term flows (7 days, 15 days) show net outflows of 162 million and 590 million U. FLOW SCORE -63. Concentration is as high as 86%, indicating the market is tightly controlled, with major long-term players continuously selling into the rebound. The liquidation map shows a thick wall of short liq

Those taking a long-term approach can watch the 72100–72500 range for take-profit levels.
This requires a test of a break below 79200, followed by consolidation and recovery in the 75800–76300 range; then it could happen.
Give the market some time, and give yourself some patience!
People who make big money aren’t in a hurry. They don’t chase quick profits either!

$DOOD
POSITION CLOSED WITH MASSIVE GAINS!
ONLY 1 SL HIT!
I CLOSED THIS POSITION LATE ON PURPOSE, JUST TO SILENCE THE HATERS WITH RESULTS.
THAT’S HOW MUCH I TRUST MY OWN ANALYSIS. 👑

Tesla isn’t short on future prospects; it’s short on profits in the here and now? Q3 earnings reveal a real problem!
One of Musk’s greatest strengths is making the car business feel like a sci-fi blockbuster. Autonomous driving, robots, AI—each keyword sparks the imagination. But ultimately, capital markets still ask: How are car sales doing, and how much money is the company making?
Tesla’s revenue in Q3 2026 was approximately $28.05B, essentially flat year over year; net profit fell 43% year over year. Automotive revenue declined 3% year over year, while global deliveries were approximately

DNA has fallen to 0.19, and I'm already deeply underwater
zhaozhao says there may be more shakeout, possibly between 0.2 and 0.156
Then it will rise above 0.45
Keep buying if it falls further
zhaozhao has an even larger position and isn't afraid 😃
@0xzhaozhao

$BTC bounced, but nothing has changed.
We're still in the same chop region between $87,000 and $80,000.
It feels like a good area to trade, but I'm not touching my long-term positioning - that's how they get me sidelined before the next major move.
Sticking to the plan. 🧘🏼‍♂️

October 22$BTC Heyue
Direction: Short
Entry area: near 83000
Target: 81500 - 80000
On the 1-hour chart, BTC surged to 84898 before suffering a sharp drop, forming a clear top. The current price of 82626.78 has fallen below the Bollinger Band middle line and is also below the moving averages. The MACD has crossed downward, with the green momentum bars continuing to expand; although the RSI is at a low level, the rebound is weak.
‍#美股AI和加密概念上涨 $ETH

I compared the current prices of the A-shares I fully sold off in the first half of the year. Those were all hot stocks in 2025, too. If I’d held them as a value investor, I’d have lost everything. Around the same time, I also sold off my AMD and Micron positions, which I opened in 2025, and their prices still haven’t fallen back to what I sold them for.😂That’s the difference between a casino and an investment market

#SpaceX市值超越台積電 SPCX still has a sentiment premium in the short term, but further significant valuation upside requires continued fulfillment of AI computing-power orders and improved cash flow.
This looks more like a “post-earnings revaluation” than a move driven solely by surpassing TSMC in market capitalization. At the October 21 close, SPCX stood at $159.31, up 7.79% on the day, with a total market capitalization of about $2.16 trillion. The share price has already priced in the positive third-quarter results[9].
The results were indeed strong: third-quarter revenue was about $14.6 billion,

Pretty bullish on all 3, $BTC + $SOL + $ETH here especially $SOL. I think the end of October pump is coming...

#GateQ3ReportReleased
#ShareWeekly
#Gate第三季度报告出炉
#Gate Q3 2026 Report: Building a More Powerful, Global, and All-in-One Financial Ecosystem
Gate’s Q3 2026 report reflects something bigger than rising trading volume. In my view, it represents the continued evolution of Gate into a more diversified financial ecosystem where cryptocurrency trading, global stocks, ETFs, wealth management, and digital payments can work together to create a more convenient experience for users worldwide.
What impresses me most is not just the scale of the numbers, but the ambition behind them. Gate is expanding it

$SAMSUNG stock surged 7.2% to ₩226,750 on Wednesday, staging a sharp reversal from the prior day’s heavy losses as a surprise earnings update from a leading U.S. AI server manufacturer reignited optimism over the durability of global artificial intelligence investment.

near launches near business, a confidential multisig treasury for crypto teams to pay vendors, swap, and manage capital across 35+ chains with signer-approved transactions.
#NEAR #DeFi $GATE

Follow the trader’s code and believe in yourself

Today at 6 p.m., our livestream debut—nonstop red packet rain!

Sharing a live trade from just now: the stop-loss was at 4080. In other words, following the quantitative logic, we entered a short at 4080, and the position was automatically closed in profit overall

⚡ Does more intelligent AI mean computing power becomes more important?
The development of artificial intelligence depends on the progress of algorithms, data, computing resources, and engineering capabilities.
Whether training complex models or enabling AI to quickly respond to user requests, both may involve a large number of computing tasks.
However, more computing power is not always better.
What really matters is whether the right computing resources can be selected for each specific task while balancing efficiency, cost, and stability.
In the future, as models are optimized and AI applic