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What is triangular arbitrage? How can you use price relationships between three trading pairs to find opportunities, and why can trading fees turn theoretical profits into losses?

In crypto markets, different trading pairs on the same exchange sometimes experience short-lived deviations in their price relationships. Triangular arbitrage exploits these deviations by completing three consecutive trades to convert assets, aiming to end up with more of the starting asset. But spotting a price gap does not mean a trade will necessarily be profitable.

First, what is triangular arbitrage?

Triangul
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Gaming has always been about experiences, competition, and digital ownership.
Blockchain technology introduces another dimension by exploring how in-game assets and player economies can work.
The challenge is making the games genuinely enjoyable, not just adding tokens.
Would you play a blockchain game if the gameplay was actually good? 🎮
#GameFi #BlockchainGaming #Web3
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I just made a bowl of noodles
Saw an on-chain record that almost made me put down my chopsticks
A veteran whale who entered the market in 2015 bought 38,800 ETH at the time at a cost of $0.31 each
Today, they sold 16,700 ETH in one transaction, cashing out over $32.3 million
On September 21, they also bought 8,630.71 ETH at an average price of $2,742.41
This time, selling the batch they bought at $1,934.63 resulted in a loss of about $6.971 million
Luckily, their original cost was low enough that they’re still in profit overall, despite the pullback
Before I’d even finished my noodles, the old
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BTC falls below $71k, hitting its lowest level since September! The $70k level is under threat—where
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Selling ETH at a loss is a difficult decision, but BTCS is working to stay operational. BTCS sells ETH to maintain the health of its $64 million Aave loan. Nasdaq-listed BTCS has been selling ether below its original cost to avoid liquidation of its $64 million loan on Aave. As of November 9, the company owed about $64.1 million, including accrued interest, and had pledged 46,676 ETH as collateral, worth $99.3 million, for a collateral coverage ratio of about 155%. The company said these sales are part of its strategy to actively manage the health factor of its DeFi borrowing. Aave does not us
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Why is a retest of a key level after a price breakout sometimes an important clue for assessing trend strength?

In crypto markets, a price breakout above resistance does not necessarily lead to an immediate, sustained rise. Sometimes the price returns to near the breakout level before choosing a direction. This phenomenon is called a retest, and it can help traders assess whether the breakout has been further confirmed.

First, what is a retest?

When the price breaks above a key resistance level and then returns to test the area, this is a common retest. The former resistance level may turn
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An employee lays it on the line: Bring Jensen Huang back, and the board can get lost!
Breaking: After Jensen Huang was forced to resign over personal-life issues, Nvidia has erupted in turmoil internally.
A longtime employee went straight to the company’s suggestion box and blasted the board, demanding that it publicly disclose the investigation’s findings, listen to employees, and formally ask whether they want Huang to remain CEO.
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📉 ETH briefly fell below $2,000—is it really time to find a new bottom?

BTC continued to weaken, and ETH also failed to hold $2,000, briefly dipping to around $1,983.

ETH has faced considerable pressure recently. 👀

💰 ETF outflows, institutional buying still needs to recover

📊 Inflationary pressures persist, and sentiment toward risk assets remains cautious

⚡ Leveraged liquidations intensify, further amplifying short-term volatility

Bulls and bears are divided again: some believe the area around $2,000 is worth watching, while others worry that funds have yet to flow back in and the d
GateSquare
📉 ETH briefly fell below $2,000—is it really time to find a new bottom?
BTC continued to weaken, and ETH also failed to hold $2,000, briefly dipping to around $1,983.
ETH has faced considerable pressure recently. 👀
💰 ETF outflows, institutional buying still needs to recover
📊 Inflationary pressures persist, and sentiment toward risk assets remains cautious
⚡ Leveraged liquidations intensify, further amplifying short-term volatility
Bulls and bears are divided again: some believe the area around $2,000 is worth watching, while others worry that funds have yet to flow back in and the downtrend is not over.
If ETH climbs back above $2,000, would you consider the rebound to have begun, or would you need more signals to confirm?
Bring #ETH一度跌破2000美元 to Gate Square to share your position changes, market views, or trading strategies.
💬 Would you look for opportunities in stages, or wait until ETH truly stabilizes before taking action?
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How can out-of-sample testing help avoid mistaking random patterns in historical market data for a lasting edge?

A trading strategy that performs well in historical backtests may not be able to adapt to future markets. To reduce the risk of overfitting, out-of-sample testing is a crucial step in validating a strategy.

First, what is out-of-sample testing?

Simply put, historical data is divided into different periods: one portion is used to develop the strategy and adjust its parameters, while another is excluded from optimization and reserved specifically for testing how the strategy perfor
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🇹🇭 THAILAND LAUNCHES CRYPTO-TO-FIAT PAYMENTS FOR TOURISTS!
Tourists can now convert crypto directly into Thai Baht to pay for local purchases.
Another step toward mainstream crypto adoption!
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How can you identify market regimes? Why might the same trading strategy perform very differently in bull, bear, and sideways markets?

In cryptocurrency trading, many people look for a fixed strategy that can keep generating profits no matter how the market changes. But the market does not always operate in the same way. When trends, volatility, and capital flows change, the same strategy can perform quite differently.

First, what is a market regime?

A market regime refers to the overall characteristics of market behavior during a particular period. It is usually divided into bull, bear, an
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Do Larger Exchange Net Inflows Make Prices More Likely to Fall?

In crypto market analysis, exchange fund flows are often used to gauge market sentiment. When large amounts of tokens move to exchanges, some believe selling pressure is increasing; when tokens continue to flow out of exchanges, others believe investors are accumulating.

But judging price movements solely by fund flows can easily lead you to overlook a key point: fund movements reflect asset transfers and do not necessarily indicate actual buying or selling.

First, distinguish net inflows from actual selling.

Exchange net infl
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BTC UPDATES....
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#USJoblessClaimsBeatExpectations 📊 U.S. initial jobless claims exceed expectations—are hopes for rate cuts back?

Initial jobless claims rose to 200k in the latest week, above expectations of 194k, showing signs of a slight cooling in the labor market.

But the thing is, 200k is still historically low. 👀

📉 Optimists: The labor market is starting to cool, which may ease pressure on the Fed to keep rates high.

📈 Cautious observers: CPI just came in hotter than expected, inflationary pressure remains, and one week of employment data is not enough to change the policy outlook.

With a coolin
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What Is a False Breakout? How Can You Distinguish a Brief Price Move Beyond a Key Level from a Breakout That Could Start a New Trend?

In crypto trading, many people rush to buy when the price breaks through a key resistance level, and rush to short when it falls below support. But sometimes the price only briefly moves beyond a key level before quickly returning to its previous range. This is known as a false breakout and is one of the risks traders can easily overlook.

First, what is a false breakout?

A false breakout occurs when the price briefly breaks through a support or resistance lev
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What Is Rolling Backtesting? Why Is Continuously Updating the Test Window More Informative Than Testing Just One Historical Period?

In crypto trading, a strategy may perform well only during a certain period of historical market conditions but fail to adapt to subsequent market changes. Testing just one fixed period can easily overlook how the strategy performs in different environments. Rolling backtesting continuously updates the test window, helping traders evaluate a strategy’s stability more comprehensively.

First, what is rolling backtesting?

Rolling backtesting divides historical dat
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It’s a total sea of red across the charts today 🩸
ethereum:native
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The weekly competition is entering its final 3 days
Complete 3+ valid streams this week to qualify for guaranteed cash rewards

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#GateIPOAccessPhase3Anthropic
Navigating Gate’s Anthropic (ANT) IPO Access: Multi-Tiered Rewards, Listing Incentives, and Yield Mechanics
As the Anthropic (ANT) IPO subscription window moves through its critical final stretch ahead of the November 17, 2026 (18:00 UTC+8) deadline and scheduled November 19 trading debut, Gate IPO Access has structured a multi-layered participation framework. Rather than treating an IPO subscription purely as a binary share-allocation event, the campaign combines tiered Stock Trial Funds, post-listing trading incentives, VIP airdrops, and high-yield Simple Earn
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Why Should We Stay Alert to Overconfidence and Uncontrolled Position Sizes After a Winning Streak?

A winning streak is usually a good thing, but it can also subtly change a trader’s judgment. After several profitable trades, some may think they have mastered the market’s patterns and start increasing their position sizes, loosening their stop-losses, or even ignoring their original risk limits.

First, making a profit does not mean your judgment is always right. Market conditions change, and strategies that worked in the past may stop working. A few successful trades may reflect a strategic e
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