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What Is Pairs Trading? How Can You Tell Whether Two Crypto Assets Are Suitable for a Pairs Trade, and How Can You Avoid Mistaking Superficial Correlation for a Stable Relationship?

In the cryptocurrency market, some assets often rise and fall together, but that doesn’t mean their price relationship is always stable. Pairs trading seeks to capitalize on relative price deviations between two assets by opening long and short positions simultaneously, reducing dependence on the overall market direction.

First, what is pairs trading?

Pairs trading is a common statistical arbitrage strategy. Trad
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$AMD just got destroyed.
Record quarter.
Data Center nearly doubled.
Guidance crushed.
Lisa Su talking 80%+ growth next year.
Then Democrats swept Congress and the stock dumped 17% on AI regulation fears.
Politics > fundamentals. For now.
Still bullish or is the AI trade broken? 👀
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AMD-17.64%
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GM CT ✌🏿✌🏿
Today will b green 💹
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CT-12.34%
🔥 What are we discussing today? Trending topics on Gate Square have been updated!

🔹 #Epic Sell-Off in U.S. Stocks
Tech stocks are facing a wave of heavy selling. Will this correction continue?
🔹 #October Nonfarm Payrolls in Focus
The nonfarm payrolls report is due tonight. Will it trigger a market rebound or further losses?
🔹 #Crypto Market Under Pressure
$BTC and $ETH are following global risk assets lower. Is now the time to buy the dip or keep waiting?

Quality content can receive a traffic boost + featured recommendations.
💰 Got a take? Join the discussion:
https://www.gate.com/post
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BTC-0.67%
ETH-1.26%
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📡 Signal Card · Just Captured
KOL: Two Degrees Below Zero Direction: $BTC Long Entry: 82400 Target: 83850 / 85250 / 85750 Stop-loss: 81000
Come to think of it, I reposted this person's $ETH trade earlier today, and they're back again. Pretty prolific 😂
Sis is only reposting this as-is; there's no guarantee about the signal. Whether to follow and how much to put in is up to you all—getting carried away on a single trade can get you burned.
Shared as a personal record, not investment advice. #AI Giants Financing Watch: Microsoft and Meta Issue a Combined $40 Billion in Bonds
BTC-0.67%
ETH-1.26%
MSFT-3.65%
Gold has formed an upward structure. How much farther can this rebound go?🔹 BTC is approaching $82,
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LIVE1,262
📡 BTCSOS Signal Card | Real-Time Repost
Channel: Always Win Asset: $SILVER Long Entry: 56.85 Stop Loss: 56.2 Targets: 57.9 / 59 / 60
Come to think of it, I reposted his $GOLD trade just 2 days ago, and here he is again—so diligent it’s almost enviable 💅
As usual, I’m just reposting the signal. Whether to follow it and how large a position to take are up to you, my dears. Shared as a personal record, not investment advice. #IREN加速转型AI云,业务收入环比增长182% IREN -3.64% xIREN -3.92%
XAG+0.47%
XAU+0.38%
IREN-17.04%
Zec market update
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LIVE2,032
#Ake $Ake was updated earlier
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AKE+6.07%
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#美股史诗级抛售 #Gate Stock Chat Season
The Second Half of the AI Rally: From Compute to Applications, Who Will Rebound First, Microsoft or Amazon?

The AI rally is shifting gears.
Over the past two years, the market rewarded “compute”: whoever bought more GPUs and expanded data centers faster took center stage. The “selling shovels” logic was simple and blunt. But in the second half of 2026, the narrative has changed—mutual funds are starting to abandon pure story stocks and use “annualized returns” to screen investments, with capital moving from upstream compute hardware to downstream applications
MSFT-3.65%
AMZN-2.11%
What Is Statistical Arbitrage? How Can Historical Relationships Between Assets Reveal Trading Opportunities, and Why Might Historical Correlations Suddenly Break Down?

In cryptocurrency markets, some assets have long shown similar price movements. When their historical relationship temporarily diverges, traders may try to exploit the deviation. This is the basic idea behind statistical arbitrage, but historical patterns are no guarantee of future repetition.

First, what is statistical arbitrage?

Statistical arbitrage is a type of trading strategy that uses historical data, statistical model
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A friend has sold it before.
That's true, and this can significantly increase profits.
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From Understanding to Action: Building Your Own Web3 Risk Assessment Framework

Today, we discussed many questions around digital asset sovereignty, private keys, smart contracts, on-chain restrictions, administrator privileges, open-source code, security audits, and project transparency.

These questions may seem unrelated, but they all point to the same core issue:

In the Web3 world, how can we gradually develop the ability to assess risks for ourselves, rather than relying on other people’s conclusions?

I believe what truly matters is not how many technical terms we can remember, but know
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Stop-Loss Distance, Position Size, and Maximum Loss: How Do You Calculate the True Risk of a Trade?

When opening a position, many traders first consider three questions:

What is the current price of BTC?

Is it likely to go up or down next?

How much leverage should I use?

But there is another question that is more worth answering in advance than any of these:

If this trade goes wrong, how much am I prepared to lose at most?

If you don't have a clear answer, then even if you know where to enter and where to place your stop-loss, you could still take on losses beyond your expectations beca
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BTC-0.65%
ETH fell even harder than BTC last night, dropping 8% in a day from 2434 to 2208 this morning. It’s now at 2236U.

Dachao said a couple of days ago that ETH’s issue lately is that it rises when BTC rises, then runs out of steam once it hits the ceiling. This time, as U.S. stocks weakened and AI stocks dragged BTC down, ETH fell even harder—same old story.

But we’re not worried about this trade. We entered long at 2228 and had already closed half at 2350, locking in that half’s profit.

For the remaining half, the stop-loss is still at 2150. It plunged to 2208 this morning and failed to hold 2
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BTC-0.67%
ETH-1.26%
#WCTCS9 #$XAU
Gold at $4,100: Why Reclaiming It Matters More Than Hitting It

Gold is sitting just below a level that matters. XAUT, the gold-backed token I'm using as a spot proxy on Gate, last traded around $4,060.60 on the live snapshot, with a 24-hour range of $4,045.40 to $4,124.90. The latest completed daily candle closed at $4,073.30, up about 0.56% on the day and roughly 1.65% over seven days. The live 24-hour figure is slightly negative (about -0.54%), so the two readings disagree depending on the window. That gap is itself a signal: the market is undecided and buyers have not yet pu
XAUT+0.30%
BTC falls below $76k: How can quants identify the next market regime shift?
The Nasdaq plunged 5.5%, and BTC fell below $76k! Last night’s sell-off: many people only understood half of what happened. The market was quite interesting last night. After the results of the U.S. midterm elections were announced on Wednesday, U.S. stocks surged for a time, and BTC climbed back toward $80k. But on Thursday, the market suddenly reversed. The Nasdaq plunged 5.5%, the S&P 500 fell 4.4%, and the Dow dropped more than 1,800 points. Chip and AI-related stocks faced concentrated selling. BTC couldn’t hold u
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BTC-0.65%
NAS100+1.64%
What is triangular arbitrage? How can you use price relationships among three trading pairs to find opportunities, and why can trading fees turn theoretical profits into losses?

In crypto markets, temporary pricing discrepancies sometimes arise among different trading pairs on the same exchange. Triangular arbitrage takes advantage of these discrepancies by completing three consecutive trades to exchange assets, aiming to end up with more of the starting asset. But seeing a price gap does not necessarily mean a trade will be profitable.

First, what is triangular arbitrage?

Triangular arbitr
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BTC-0.67%
ETH-1.26%
The better the backtest returns look, the more you should ask: do these results hold up in real markets?

A trading strategy has a high historical return, a decent win rate, and a maximum drawdown within an acceptable range.

You might think the only thing left is to deploy it in live trading.

But why do some strategies perform noticeably worse as soon as they enter real markets?

The problem may not be that the strategy is completely ineffective, but that the conditions it relies on in backtesting do not match those of real trading.

A backtest shows that under specific data, assumptions, an
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Are you the same too?
Yesterday: a raging bull market
Today: play a 🐔 and hurry up and go to zero ​​​
#每周来晒
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