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#USAIConceptStocksRally
U.S. AI Concept Stocks Stage Strong Rebound: Chip Stocks Lead, Market Risk Appetite Recovers
Market Overview
On September 17th, U.S. AI concept stocks staged a strong rebound, led by the semiconductor sector, with market sentiment significantly recovering. All three major U.S. stock indices closed higher, with the tech-heavy Nasdaq leading gains. Arm surged 8.57%, Super Micro gained over 9.5%, and Astera Labs rose about 9%. The semiconductor ETF (SOXX) also staged a strong rebound, continuing the "down then up" trend seen this week. The VIX fell to 15.44, indicating th
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ARM+8.46%
SMCI+9.48%
ALAB+8.96%
NDAQ+2.83%
Done my first BJJ wrestling grappling session today with some heavy guys one pro MMA fighter a few Brazilian dudes even a wrestler from Dagestan 💥
Super intense workout 🦾
Got slammed around for an hour bruh 🫩
Can’t move much rn - would recommend 🤙
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🚨 #KazuoUeda UPDATE - THE HIKE WAS HAWKISH. THE GUIDANCE WASN’T. 🇯🇵
BOJ raised rates +25 bps, but Ueda just gave the market what it was really waiting for:
🔹 No clear neutral/terminal rate
🔹 No preset path for future hikes
🔹 Further tightening = DATA DEPENDENT
🔹 BOJ wants to avoid financial conditions becoming too tight
And the MARKET is speaking. 👀 Despite the rate hike, the YEN WEAKENED, with USD/JPY pushing toward 157.8.
In Simple English:
👉HAWKISH on inflation. LESS HAWKISH on the tightening path.
That distinction matters for #GOLD, $BTC & global liquidity.
Now watch what Ueda s
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USDJPY+1.18%
BTC+2.22%
#ETH may have completed wave 1 of a potential five wave advance.
If this count is correct, a modest wave 2 pullback could develop over the weekend before further upside next week toward the $2,550–$2,700 region.
The broader move still looks corrective, however, so I remain alert to renewed downside once all five waves are complete.
Trade the evidence, not the prediction.
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ETH+2.22%
FET, ignored for three years, gets called out: the market caught it first, up 9% in 24 hours
Damn, people actually still remember a token that's been falling for three years. Two hours ago, a trader called out $FET on X: the price had fallen back to the old liquidity pool at 0.16, where its last breakout kicked off a major move. The stance—bullish, favoring a confirmed pullback.
The market really caught it—the price is up 9% in 24 hours, currently at 0.1684, moving from 0.1668→0.1684 after the event; the volume ratio is 0.869 with no volume expansion, funding rate 0.0001, OI 145 million, long-
FET+15.37%
I originally thought ARC would make a big move, but I didn't expect ZEC to make a big move instead, while ARC took a massive dump 😭
Woke up to find that everyone who had positioned themselves had lost money. I heard it's because the ARC team is too generous and actually wants to provide 500U to each of 20 projects. I can provide it too 🌚
Thankfully, @zaddrnet passed the WL and my mood improved by 100 million points, but @BITFOOTS_ is still pending. Let me quietly say that I'm a small-footed monster; we're all the same kind, so you should be able to give me one, right?
These two should be the
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ARC-2.06%
ZEC+7.84%
@theunipcs still bullish on $EMBER
Patience. The chart is boiling ☄️
EMBER-8.70%
$AKE is back, back again—winning on long positions, making a fortune, making a fortune
AKE+21.60%
DOGE Price Action update
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LIVE2,987
September 18, fifth gold trade: gained 11.29 points, 11,290 oil!
New partner: 30,000 oil, now at 256,500 oil!
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PAXG-0.02%
XAU+0.02%
Wasn’t wrong… Just early. 🥹
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This coin $HYPE has gone absolutely wild.
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HYPE+11.49%
#美股AI概念股全线反弹 #Gate广场中秋团圆局
The AI market rally is more likely to be a phase of rebound than the starting point of a new uptrend. The broad-based gains on September 17 were essentially the result of the convergence of three factors: the Fed’s rate-hike “bad news is out,” falling oil prices, and cooling U.S. Treasury yields. Against these three variables, the fundamentals of the AI industry were not the dominant force.
---
I. Three pillars supporting the rebound: sentiment recovery after the bad news was priced in
On September 16, the Fed announced a 25-basis-point rate hike to 3.75%-4%, its fir
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ING+1.55%
AVGO+2.27%
JPM+0.05%
SPYX-0.23%
#WeeklyShowcase
NEAR5L Is Up 181% Today, But Understanding Why Matters More Than the Number Itself
Gate's leveraged ETF products had a genuinely wild day. NEAR5L leads the board up 181.92 percent, followed by UNI5L at 155.74 percent, with APT5L and UNI3L both posting gains above 90 percent. Before getting excited about these numbers, it's worth understanding exactly what's driving them and how these leveraged products actually work, because that context changes how you should think about entering or exiting positions here.
What leveraged ETF tokens actually are
Products like NEAR5L and UNI5L
Gate_Square
📈 Gate ETFs are on fire today
NEAR5L leads with +181.92%, followed by UNI5L at +155.74%. APT5L and UNI3L are both up over 90% 🔥
The leaderboard is dominated by leveraged longs today.
Did you catch the move, or are you waiting for a better entry?
NEAR, UNI, or APT — which one are you watching next?
✍️ Got a market take? Put it on Gate Square.
Post with #WeeklyShowcase and share your ETF outlook, trade setup, or position recap. Earn points, win weekly rewards, and get extra exposure for quality content.
👉 Join Weekly Showcase: https://www.gate.com/campaigns/6244
NEAR5L owns today — who takes the crown tomorrow? 👀
#WeeklyShowcase
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UNI5L+128.98%
NEAR5L+178.42%
  • 3
Everyone watching SOXL from the long side just missed the trapdoor.

$SOXL /USDT - SHORT

Trade Plan:
Entry: 116.39 – 117.07
SL: 119.95
TP1: 114.31
TP2: 112.70
TP3: 110.28

Why this setup?
Why now? The daily trend is range, but the 1h ATR of 1.342802 shows enough volatility to make a short move count. The 15m RSI at 39.78 confirms the 1h price at 116.73 is still sliding before the entry zone of 116.39 to 117.07. A fill near the top of that zone targets TP1 at 114.31, with TP2 at 112.70 offering the real reward if momentum holds. The 1h price must hold above 113.96, or the whole setup gets i
SOXL+3.03%
Not just number one in quantity, Gate’s stock perpetuals are competing on “coverage + liquidity”
When many people see “number one in the stock perpetual contract industry,” their first reaction may be: Is it simply because there are more underlying assets?
If you only look at the quantity, it is indeed easy to reach that conclusion.
But looking further into the data shows that Gate’s expansion this time is not simply a matter of “listing more assets.”
As of September 7, Gate had launched 385 stock-related perpetual contracts, ranking first in the industry by coverage; among the five high-volum
SNDK+4.03%
SPCX+0.81%
SOXL+3.03%
MU+3.29%
  • 22
Twitter user ran the numbers on GMX at 9.5x; the market moved just 0.27%
Well, half an hour ago someone on Twitter worked out a valuation for $GMX . Let me state my stance first: bullish, but only on a breakout backed by volume.

The circulated figures—market cap of about $77 million, annualized revenue of about $8.1 million, a market-cap-to-revenue ratio of 9.5x, versus 22x for LIT and 24x for HYPE. KOL tweet math, unverified.

The market is calm—the half-hour window before and after the event barely moved (-0.01%), while after the event it only moved 0.27% from 7.39 to 7.41; the 24h volume
GMX+3.39%
$ETH The long positions opened during this ETH rally have basically been closed around 2500, so it’s highly likely that the main players don’t want to push it higher. In addition, there is a large sell wall near 2540, making a short with a tight stop-loss highly cost-effective!
Short at 2510, stop-loss at 2540
Target below 2400 ‌
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ETH+2.22%
[Mid-Autumn] Bulls vs bears at peak intensity! Key 4H decisive levels for [BTC/ETH]
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LIVE2,831
There’s a new model called Jev in the AI space these past few days, and I think it deserves a closer look.
The most counterintuitive thing about it isn’t how much higher its benchmark scores are, but that it doesn’t want to be an LLM that is simply “better at chatting.”
@typesafeai’s approach is:
Many software tasks don’t need the model to “generate a piece of text” at all.
A large number of AI workflows today actually look like this:
state → LLM → generate text / JSON → parse → validate → retry → the program decides what to do next
But what software really needs AI to answer is often just:
Is
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