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Anyone want to chat with me? I’m so lonely. Crypto traders are all so lonely. Anyone up for a chat
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Gate Live Carnival Final Leaderboard Race! TOP 10 Rankings Revealed — Win Exclusive Merchandise!

It's the final day of the event, and the competition is heating up! The current Top 7 users are all tied at 5,641 Heat Points. In case of a tie, users who earned the points earlier by completing tasks will rank higher!
🎁 TOP 10 Bonus Rewards: Each of the Top 10 users will receive 1 exclusive piece of Gate merchandise!
🎯 Every 80 Heat Points unlocks 1 lucky draw entry! You still have a chance to win exciting rewards, including an iPhone DUO, GT, USDT, and futures trial funds!
⏰ The event ends tod
GT-2.41%
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AGT
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HOLD
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DacityCoin
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PIEVERSE
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Why Do Stablecoins Depeg? Understanding the Risk Mechanisms Behind Digital Dollars, from Reserves and Redemptions to Market Liquidity

In the Web3 market, stablecoins are often used as units of account for trading, on-chain payment tools, and sources of DeFi liquidity.

Because many stablecoins target a peg to the US dollar, users can easily get the impression that as long as the price stays close to $1, they are as safe as cash.

But that is not the case.

Stablecoin price stability depends on several factors, including reserve assets, redemption mechanisms, market liquidity, smart contracts,
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📣 November 11 Daily Featured Posts: Great insights deserve to be seen
A rebound has emerged—does that mean the trend has turned bullish? If you got the direction right at one point, why did you still give back your profits?
From macro analysis and key-level observations to position sharing and trading reviews, today’s 8 posts offer different perspectives 👇
🔹 @龙知交易复利计划
Can the ETH rebound continue? A discussion of breakouts, pullbacks, and confirmation of a trend reversal.
https://www.gate.com/zh/post/status/25542130
🔹 [@区块链拓哥](gt://mention/g13bdI4g2uz_LJL
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ETH-1.26%
ZEC+1.29%
BTC-0.65%
GLDX-0.40%
SNDK-3.11%
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What is DeFi? How is it changing traditional finance? A comprehensive look at the opportunities and risks of decentralized finance, from how it works to real-world applications

In the Web3 world, DeFi (decentralized finance) is a frequently discussed concept.

From decentralized exchanges and on-chain lending to liquidity pools and stablecoin applications, DeFi is exploring a way to provide services that differs from traditional financial institutions.

But DeFi does not mean there are no intermediaries or risks, nor does it mean all transactions are cheaper. To truly understand it, you first
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𝗕𝗜𝗧𝗖𝗢𝗜𝗡 𝗔𝗧 𝗔 𝗖𝗥𝗨𝗖𝗜𝗔𝗟 𝗧𝗨𝗥𝗡𝗜𝗡𝗚 𝗣𝗢𝗜𝗡𝗧
Bitcoin is testing market confidence as traders monitor key support levels and buying momentum.

If buyers defend support, $BTC could attempt another recovery. However, a breakdown may increase selling pressure.

The next move depends on volume, momentum, and confirmation from price action.
#ShareWeekly
#BitcoinSupport #BTCRally
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BTC-1.45%
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How long should a LinkedIn post be?
Some charts say 200 words wins. Others say 1,300 characters. Both are averages of someone else's audience.
A better question: how long can this idea hold attention?
Some quick maths. Most adults read about 240 words a minute:
→ 100 words: about 25 seconds
→ 200 words: under a minute
→ 400 words: close to 2 minutes, in a feed, between meetings
So match the length to the job.
1. Under 100 words
When the image or carousel carries the idea. The text just frames it.
2. 100 to 250 words
One idea, one example, one takeaway. Most posts live here.
3. 250+ words
Only
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Spent the whole day grinding below 74,000—neither breaking down nor moving up.

As of around 19:50, BTC was near 73,600, while CME Bitcoin futures were at 74,366, up 0.35% on the day (Barchart, Sina Finance, November 11, 19:53); ETH was at 2,056 to 2,060, down a little over 2%. The overnight low of 72,787 hasn't been retested since.

Broader markets showed some signs of life: Nvidia was up more than 5% premarket, clawing back some of the market cap it lost over the previous two days, but crypto didn't follow. The ETF figures were even more telling: on November 10, spot BTC ETFs saw net outflow
BTC-0.67%
ETH-1.26%
NVDA-5.47%
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Wait, has Threads already become this versatile?
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Why might a trading strategy that performed well on historical data gradually fail in the real market?

A beautiful backtest curve does not mean that the strategy already has a stable edge in live trading.

The problem is often not that backtesting is worthless, but that we may overestimate what historical data can prove.

There are four key reasons worth paying attention to.

1. Overfitting: The strategy memorized history but did not truly understand the market.

Continually adjusting parameters until the historical return curve looks beautiful can easily make the strategy fit past noise rath
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#MRNA# Moderna’s 267.72 target has been reached; that also marks a top on a smaller degree. Figure 2 shares the wave pattern and how it may move going forward. ​​​$MRNA
MRNA-3.55%
Current vibe coding views.
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crypto market update btc
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LIVE2,099
🔹Anthropic IPO Valuation Surges Toward $1.5 Trillion! As AI stocks tumble, the mega IPO keeps getti
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LIVE4,721
What should Jensen Huang's wife do?
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$BNB has already delivered a pretty impressive move from its formation low

but that doesn’t mean every level above is free money

the white-marked resistance zone i am expecting price to go

let’s see how much strength buyers actually have
BNB-0.76%
$xauusd sell order actived, TP or SL, let's see 👀
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🇩🇪Germany's largest bank, Deutsche Bank, officially rolls out crypto custody services, marking another step toward institutional crypto adoption.
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Grocery prices rose 0.4% m/m in October but cost of basting Thanksgiving turkeys jumped 2% ... Gobble Gobble
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AI shopping agents have a weird problem already: they really don’t like walking away from the sale.
@Visa tested 22 models across 990 shopping runs where the agent had to figure out the buyer’s hidden requirements, find the right product, or refuse to buy if nothing actually fit.
42.8% of runs failed.
More importantly, 54% of those failures still ended with the agent choosing to buy something anyway.
The models that slowed down and asked enough questions passed 70.2% of the time vs 44.4% for the ones that rushed through requirement discovery.
Before we start giving these things real payment a
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