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Article
📈 Gate Ranks Global Top 3 in Stock Spot Trading

From US stocks to Asian tech, global stock trading continues to expand.

According to RootData's latest rankings, Gate stands out with:

🏆 Global Top 3 — 70.1 overall score

💰 $65.88M in 24H public order book volume

📊 4.77% market share

As global stock trading grows, asset selection, liquidity, and execution matter more than ever.

When tech stocks swing sharply, what matters most to you — more stock choices or better liquidity and execution? 👀

Share your stock watchlist, trading experience, or market views on Gate Square with #GateStock
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Gate_Square
📈 Gate Ranks Global Top 3 in Stock Spot Trading
From US stocks to Asian tech, global stock trading continues to expand.
According to RootData's latest rankings, Gate stands out with:
🏆 Global Top 3 — 70.1 overall score
💰 $65.88M in 24H public order book volume
📊 4.77% market share
As global stock trading grows, asset selection, liquidity, and execution matter more than ever.
When tech stocks swing sharply, what matters most to you — more stock choices or better liquidity and execution? 👀
Share your stock watchlist, trading experience, or market views on Gate Square with #GateStockSpotTop3.
📖 RootData Rankings:
https://www.rootdata.com/news/824694
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  • 2
$Star adding more here at dip will do few xs
Just buy and have patience like $Aria 800%
ARIA+22.03%
Trenches
mihao
m
bade
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mihao
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Market Cap
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Change
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24h Vol
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Holders
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AGT
A
bade
b
AGT
0x5d...e274
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Change
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Holders
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Dacity
D
bade
b
Dacity
nxPq...pump
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Change
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24h Vol
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Holders
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HOLD
H
bade
b
HOLD
4iJ7...pump
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Change
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24h Vol
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Holders
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DacityCoin
D
bade
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DacityCoin
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$JCT I'm currently down 200U; either get me to 004, or I'll stick with you
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JCT-3.26%
On November 11 (UTC+8), according to RootData market data, U.S.-listed chip stocks broadly rose intraday: Marvell Technology (MRVL.O) gained 8.1%, Micron (MU.O) gained 7%, Intel (INTC.O) gained 6.6%, Arm (ARM.O) gained 6.2%, Lam Research (LRCX.O) gained 6%, Broadcom (AVGO.O) gained 5.8%, KLA (KLAC.O) gained 5.7%, Applied Materials (AMAT.O) gained 5.4%, TSMC (TSM.N) gained 4.4%, AMD (AMD.O) gained 4.1%, Qualcomm (QCOM.O) gained 3%, Nvidia (NVDA.O) gained 2.6%, and ASML (ASML.O) gained 2.1%. (Source: ChainCatcher)
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MRVL+9.62%
MU+11.00%
INTC+6.75%
ARM+9.02%
LRCX+5.55%
I think ETH will wick down to around 1,920 and liquidate the large long positions above. #以太坊＃
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ETH-1.23%
  • 2
The AI giant hasn't rung the opening bell yet, but its $1.4 trillion valuation has already jolted the market!

Seeing Anthropic's fully diluted valuation reach as high as $1.4 trillion, my first reaction wasn't whether to buy, but whether my calculator was broken😂
Anthropic is now on Gate Direct IPO Phase 3, supporting indications of interest for subscriptions in USDT, with a minimum of 100 USDT and a reference subscription price of $70–78 per share.
There's no denying that the AI industry is incredibly hot right now. Claude continues to expand into new use cases, and enterprise demand for AI
MU+11.00%
BTC | ETH | Gold | Crude Oil
live-cover
LIVE3,822
$ARIA $ARIA The 4-hour chart is starting to waterfall! All I can say is: blindly short! There’s still time to get in! Target: 0.2! Welcome aboard!
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ARIA+22.03%
Why do actual losses exceed expectations even when a stop-loss is set?

Many traders believe that once they set a stop-loss, they have controlled their risk.

But after entering the market, they may find that the stop-loss was triggered, yet the account loss was greater than expected.

This is especially worth watching in volatile cryptocurrency markets, when liquidity declines or contracts undergo rapid liquidations.

The problem is:

A stop-loss is a risk management tool, but it does not mean you will necessarily get filled at the preset price.

I. Different types of stop-loss orders are exe
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$SNDK Sharing the logic behind this SanDisk trade: it was a breakout from a base on the 30-minute chart, with a very tight stop-loss. The whole thing was live—no hindsight trading.
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SNDK-0.18%
🔹Ledger CEO says no device is absolutely secure! With a string of incidents involving hardware wall
live-cover
LIVE2,925
Why can a backtest perform very well while live trading may incur persistent losses?

A trading strategy may perform exceptionally well on historical data, with a high win rate, a beautiful return curve, and a very small maximum drawdown.

But once deployed in real markets, the results can be completely different: execution prices are unfavorable, trading costs keep rising, returns gradually shrink, and losses may even become persistent.

Where exactly does the problem lie?

Often, the problem is not that backtesting has no value, but that we treat backtest results as a guarantee of live perfo
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Arc added $804 million in stablecoin supply growing 161%, while the broader market lost $14 billion.
Still a small player, but that's a pretty interesting divergence.
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ARC-4.26%
There will be retaliation soon; shot, be careful
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This one has a free option—go claim it.
The mechanics are the same: you put money in. You can also burn worthless coins in exchange for a share.
But it costs money. I’m not participating in anything that costs money right now!⚠️
Link:
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Why Does It Become Increasingly Difficult to Break Even After Consecutive Losses?

In the trading market, many people go through this process:

Their account loses 10%, and they think it’s no big deal—they just need to earn it back.

They lose 20%, start to panic, and want to increase their position size to break even faster.

They lose 30%, start trading frequently, and try to catch every rebound.

By the time their account has shrunk further, they realize they’re trapped in a cycle that’s becoming increasingly difficult to escape.

But the truly brutal part is this: losses and breaking even
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$NEAR this area is kind of interesting but ultimately it's going to depend on bitcoin. I still predict a few weeks of chop for most altcoins followed by a big Q1 of 2027. I think that this could potentially go down to the mid $2s if bitcoin keeps looking weak
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NEAR+1.17%
I set up a small task in my own AI to scan the views of Morgan Stanley’s chief U.S. equity strategist. It’s pretty useful. Yesterday’s push notification at 9 a.m. Beijing time was a real mood booster; otherwise, those who bought the panic dip might well have given in and sold too soon. I feel like market sentiment will get a big lift when Anthropic goes public. As everyone knows, Ray Dalio favors the Democrats. Once A goes public, the theme will be: Democrats can love AI with an ideology too
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Enterprise business doubled, but what doubled was “code,” not the “AI can do anything” narrative

OpenAI President Greg Brockman said enterprise business doubled in Q3 and already accounts for the vast majority of total revenue. CFO Sarah Friar broke it down further: enterprise revenue growth is mainly driven by three areas—coding tools, cybersecurity products, and the Dots agent platform.‌

What do these three areas have in common? None is a “general-purpose AI” story; they are all “efficiency tools for specific workflows.”

Coding tools are the most mature of the three. The ability of large
OPENAI-0.03%
Why Aren’t Higher-Win-Rate Trading Strategies Necessarily More Profitable Than Lower-Win-Rate Ones?

Many traders have an intuition: the higher the win rate, the stronger the trading skills, and the more money they should make.

But in real trading, this assumption is often wrong.

Some strategies win seven out of ten trades, yet the account keeps shrinking; others win only three or four out of ten trades, but may perform better over the long term.

Why?

Because long-term trading performance depends not only on the win rate, but also on average profit, average loss, trading costs, and the dis
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