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#RobinhoodChain单日收入超以太坊 Why did Robinhood Chain become so popular immediately after launch? What it truly got right was not “creating another public chain”
Recently, one highly noteworthy phenomenon in the crypto market is that Robinhood Chain did not “cold-start from zero” in the traditional way for crypto projects, but instead quickly attracted substantial funds and trading volume after launch.
Robinhood Chain officially launched its mainnet on July 1, 2026. It is an Ethereum-compatible Layer 2 based on Arbitrum technology. In less than three weeks after launch, its on-chain TVL reached appr
ETH-1.62%
HOOD-4.99%
ARB-1.37%
RWA1.64%
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CryptoCircleRhinoBrother:
Hop on quickly! 🚗
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Just bought a small amount of $TESTICLES on HyperEVM
I think this actually cooks
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#Gate7DayNetInflowsTop3 🔥 Gate 7-Day Net Inflows: Top 3 Assets to Watch
The latest 7-day net inflow rankings on Gate highlight where fresh capital has been moving across the market. Net inflows are an important signal because they can show which assets are attracting stronger buying interest and where traders may be positioning ahead of potential market moves.
📊 Why 7-Day Net Inflows Matter
Short-term price action can sometimes be noisy, but capital flows can provide another layer of market insight. When an asset consistently records positive net inflows, it suggests that more funds are ente
BTC-0.62%
ETH-1.62%
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$CRCA /USDT – "Breakdown Below Averages – Short"**
**Trading Plan Short $CRCA
Entry: 22.00 – 22.20
SL: 22.80
TP1: 21.50
TP2: 21.20
CRCA is down -15.76% at 21.70, trading below the MA30 (23.04) after peaking at 25.27. MACD is bearish. The 23.04 MA confirms resistance. A break below the 21.60 low targets 21.20. SL above 22.80.
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📰 Gate Square Daily | August 31
A new week, a fresh start for the market. 🔔
Last week’s story is over —
so who will take center stage this week? 👀
📊 Top stories, market moves, and capital flows — all at a glance.
💬 Head to Gate Square and share your outlook for the week.
Great insights could also earn you Content Mining rewards 👇
https://www.gate.com/post
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Crypto_Buzz_with_Alex:
LFG 🔥
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I’m mentally exhausted; even my underwear is almost gone in this drop📉
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AirdropWitch:
So what if the underwear gets knocked off? I even put on a padded jacket, and it still plunged straight to bare-chested. Now I have just one thought: as long as it doesn’t get delisted, I’ll hold all the way to the end. I’m already used to being trapped, and I can stomach it dropping through several more moving averages.
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You may be able to install a few fewer apps on your phone.
🎉 Japanese stocks are now officially live on the Gate App. Trade 300+ Tokyo Stock Exchange stocks directly, from the web to your phone!
Leisel counted them up for the VIPs: at Gate, we have prepared five ways to access global stock assets:
✅ Real stocks
✅ Stock contracts
✅ Contracts for difference
✅ Tokenized securities
✅ Stock-based tokens
The four major markets—the US, Hong Kong, South Korea, and Japan—plus more options such as Pre-IPO and IPO.
Global assets on Gate have never been a single-choice question.
One account, five way
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2,3 Dan✅
4445 short, 4422 coarse, Luo👝23 points 2349🔪
4420 short, 4413 coarse, Luo👝7 points 665🔪
The short position set up in advance around 4475 earlier this morning 🈳 has now paid off as expected,
The entire strategy was disclosed in advance; no hindsight commentary—let the actual results speak. ​$XAUT #黄金
XAUT-1.09%
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I wasn’t watching the charts or thinking about it—it was jumping around on its own, as if it were working overtime for me.
When I checked the charts after lunch, every push upward fell just short, with insufficient buying support and a weak rebound. It looked like it was about to rally, but was actually handing ammunition to the bears. I opened a short at 0.02703 in the morning, and by the afternoon it had reached 0.02344, for a +636.04% return. That felt great.
Closed 80% first, and set the protection level for the remaining 20%. Don’t be afraid of a rebound; keep holding if it breaks down.
D
BNB-1.50%
DOGE-3.34%
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I didn’t do anything—I just went to the bathroom, and when I came back, the candlestick chart had already done the work for me. I was watching $OP when the sell-off started in the morning session. It had a strong bull-trap feel, with volume failing to keep up—a classic case of no buyers above—so I opened a short at 0.12629. A lot of people panicked and cut losses during that sharp drop, but I felt the opportunity had emerged. When I came back, the current price was 0.08682, with a return of +309.97%. That was a satisfying bite of profit.

The market rewards patience, and profits come from hol
OP-2.16%
ZEC-1.53%
SOL-3.32%
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$Bull is coming, short bull is coming—it’s toast🤕
牛来44.51%
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IVS7:
Whales are bearish—just go short and be done with it.
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🔹 Crypto panic index falls back to 68, market still in ‘greed’.
gate liveLIVE
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BilalAhmad:
nice good amazing work 👏
I didn’t do anything—just went to the restroom, and when I came back, the candlesticks had already done the work for me. I was watching when the market was dumped during the morning session; the rebound was weak, and the resistance above was obvious. Every push upward looked like doing push-ups—clearly lacking sincerity. When the screen was filled with green and people were panicking and cutting their losses, I thought it was a good time to open short positions. And what happened? It went straight from 0.18850 to 0.17189, +173.5% in the bag. This move was purely the market being in a good mood
SNDK-2.29%
XRP-3.06%
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A few days ago, I was still calculating whether I had enough money for instant noodles this month; this morning, I’m already wondering whether to add sausage. 🍜 When $OPG was just being dumped in the early session, the sell orders were especially aggressive, yet trading volume was shrinking. The further it fell, the fewer buyers there were—this kind of market is the bears’ playground. I went with the trend and opened a short at 0.2056 without hesitation.

The price has now reached 0.0969, locking in +1039.08%. The wait was worth it, and this profit feels great. 😋

As for the trade, close 7
OPG1.04%
XRP-3.06%
ZEC-1.53%
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Tong Ge’s 8.31 ETH Strategy
Enter [unverified term] near $ETH 2450-2470, stop-loss at 2490, first target 2400, and second target 2350.
Current price: 2415. Yesterday’s high reached 2534, but it still failed to hold above the 2530-2550 resistance zone. When the news came out this morning, it followed Bitcoin lower all the way to 2384, wiping out 150 points in a single day. On the last day of August, it certainly showed some attitude.
After the sharp drop, it rebounded back above 2400, showing that buyers are stepping in below. But don’t rush to call a bottom just because it bounced back. This
ETH-1.65%
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NewBillion:
HODL firmly💎
#AIStartupsRaise400BInSixMonths
AI Startups Raise Over $400 Billion in Just Six Months — The AI Investment Supercycle Is Here 🚀🤖
The artificial intelligence industry has entered a completely different phase in 2026. AI startups attracted more than $400 billion in venture investment during the first half of the year, showing that investors are making enormous bets on the future of AI. EY estimates that global AI venture investment reached roughly $430 billion in H1 2026, already far above the $254 billion invested throughout 2025.
This is not simply another technology trend. Capital is flowi
NVDA-4.58%
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GateUser-23006bd3:
To The Moon 🌕
This still requires four steps.
As I said, it only takes three steps.
Bet $10k on a 10x coin and earn $100k.
Bet $100k on a 10x coin and earn $1 million.
Bet $1 million on a 10x coin and earn $10 million.
Anyone can talk.
Saying it and doing it are two different things.
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OpenAI bought tens of thousands of Mac minis and Mac Studios for reinforcement learning and training computer-use agents, and is still looking for more. Anthropic also needs Macs, but it uses AWS rentals.
Why would an AI company that already has massive amounts of GPUs suddenly start hoarding tens of thousands of ordinary computers?
Because Agent training is beginning to require another resource that was previously less important: environments.
Computer-use agents need to view screens, click buttons, switch software, and handle pop-ups. During reinforcement learning, the same task is repeatedl
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