What Is a DEX? How Is It Different from a Centralized Exchange?

In the Web3 world, there’s more than one way to trade crypto assets.

Some people prefer centralized exchanges (CEXs), while others connect their wallets directly and trade through decentralized exchanges (DEXs).

Both may appear to let you buy and sell tokens, but they differ significantly in their trading mechanisms, who controls the funds, and their risk profiles.

1. How are trades executed?

Centralized exchanges are typically operated by a platform that handles order matching, account management, and maintenance of the trad

Why Are Traders More Likely to Make Serious Mistakes After a Winning Streak?

A winning streak is normally something to celebrate.

But in the trading market, profits can sometimes bring new risks.

When traders get several calls right in a row, they may gradually become more confident in themselves, less alert to risk, and even start to think they have figured out the market.

The truly dangerous moment may not be after a series of losses, but when you start to think you can't make mistakes.

I. Why Does a Winning Streak Change Trading Behavior?

1. Confidence gradually turns into overconfide

$AGPU At 9.14, it surged 15.84% in 24 hours, reaching a high of 9.23—this isn’t an ordinary rebound; it’s a strong continuation after breaking above the previous high. The 24-hour range was 7.85 to 9.23, with an amplitude of nearly 17%. The signs of capital flowing in are obvious. A trading volume of 1.7M is significant in the current market, suggesting that a major player is driving the move.
A technical breakdown: 7.85 was the pullback confirmation level for this move. The price rallied straight from there to 9.23, with almost no meaningful pullbacks in between—a classic short squeeze struct

Bearish near 4071, moved to 3979, banking 92 points on this move.

As the old saying goes, sharpening the axe doesn’t delay chopping wood
$XAUT ‌#美国10月CPI全面超预期

A reminder: don’t try to buy the dip! This time, the Democrats are out to take Huang down! When DeepSeek burst onto the scene, the U.S. stock market shed only around 1 trillion. But with one stroke of inspiration from Huang, NVIDIA single-handedly wiped out 2 trillion. The Democrats’ move is: Xiang Zhuang dances with a sword, but his real target is Liu Bang. To see the other side of this chess game—from “sweeping Huang” to “de-Taiwanization”—you first have to understand the semiconductor industry itself. Semiconductors really are dominated by Taiwanese players: with NVIDIA at the center, TSMC

Why Can a Strategy Perform Well in Backtests Yet Keep Losing Money in Live Trading?

A trading strategy may have a high win rate in backtests, a steadily rising return curve, and a seemingly acceptable maximum drawdown.

But once deployed in the market, the results may be completely different: trading costs keep piling up, actual execution prices deviate from expectations, several trades in a row lose money, and the once-impressive return curve gradually loses credibility.

So where exactly does the problem lie?

Backtesting measures how a strategy performed on specific historical data and und

$PEPE SHORT SETUP — BEARS IN FULL CONTROL!

Entry: 0.000004576
SL: 0.000004850

TP1: 0.000004500
TP2: 0.000004300
TP3: 0.000004100

$PEPE has dropped 14.50%, with heavy selling pressure pushing price toward fresh lows. The chart shows a clear bearish structure, and the latest bounce remains weak. If sellers break 0.000004502, another wave of downside could follow.

Invalidation: A sustained recovery above 0.000004850 weakens the bearish setup.

🚨 BREAKING: 🇺🇸 MSCI OFFICIALLY CONFIRMS $MSTR’S REMOVAL FROM ITS INDEXES!
The decision takes effect after the market closes on November 30, potentially triggering billions of dollars in forced selling by index-tracking funds.
JPMorgan previously estimated potential outflows of around $2.8 BILLION.
This puts fresh pressure on Strategy’s stock and raises concerns for the wider crypto treasury sector.
#Bitcoin #BTC #MSTR #Strategy #Crypto

In the defensive phase, I’m leaning bullish, with $BTC hugging 73589.6 and Fear & Greed at just 28
$BTC is currently at 73735.41, down just -0.19% in 24h. In the defensive phase, I’m leaning bullish. Rumors that the Russian central bank would open up trading on November 22 have been circulating for 21 hours; the market swung from 74709.84 to 73735.41, down -1.3%.

Why am I bullish? The funding rate is neutral at 8.214e-05, OI is 97431.23 and unchanged at 0.0% versus the archived figure, and the long/short account ratio is 2.6819; 24h trading volume is 1108953693 USDT, with a volume ratio of 0.

11.12 Market Chart Analysis
SOL Silk Road Reference Setup
Short on a rebound in the 84.5-85.5 range
Stop-loss: 86.2
First target: 82.5 Second target: 81.3
SOL rebounds are resistance zones; prioritize shorting at higher levels!
The one-hour chart shows that after rebounding from a low of 81.25 to a high of 85.83, the market came under pressure and pulled back, already breaking below the cyan moving average.
The Supertrend resistance line is around 85.5, and 84.5-85.5 is a confluence resistance zone. Many trapped positions have accumulated here, so prices are likely to weaken again when they re

Stablecoins look like digital dollars, but why aren’t they the same as dollars in a bank?

In the cryptocurrency market, stablecoins are often used for trade settlement, asset parking, and on-chain payments. Many people think that as long as a token’s price stays close to $1 over the long term, it can be treated as cash.

But a similar price does not mean the risks are the same.

I. Why can stablecoins maintain price stability?

Different stablecoins rely on different mechanisms to maintain their price. Three common types are:

1. Fiat-reserve-backed

The issuer holds reserve assets such as ca

$INTW LONG SETUP — BULLS EYEING ANOTHER BREAKOUT!

Entry: 6.22
SL: 5.98

TP1: 6.40
TP2: 6.60
TP3: 6.88

$INTW is showing signs of recovery after pulling back from 6.88. Buyers are defending the 6.00 support area, but price still needs to reclaim 6.40 to confirm stronger bullish momentum. A successful breakout could open the way toward the previous high.

Invalidation: A sustained break below 5.98 weakens the bullish setup.

#StakeOnLaunchpoolToShare450KVLX Turn Idle Spot Holdings Into Hourly Airdrops: Inside Gate Launchpool Round 386 for ValueX (VLX)
Passive yield opportunities remain one of the smartest ways for crypto holders to put idle assets to work without taking on complex derivatives leverage or long-term lockup risks. With Gate Launchpool Round 386 officially underway for ValueX (VLX), spot traders and long-term holders of BTC, ETH, and VLX have a direct 14-day window to earn a share of 454,546 VLX distributed automatically every hour.
Running from November 7 at 19:00 to November 21 at 19:00 (UTC+8), Rou

Why Can a Trading Strategy with a High Win Rate Still Lose Money Over the Long Term?

A trading strategy with an 80% win rate sounds excellent, doesn’t it?

But suppose you make 100 trades, win 80 times and earn $10 each time, and lose 20 times and lose $50 each time.

What’s the final result?

Profits: 80 × 10 = $800

Losses: 20 × 50 = $1,000

A final loss of $200, not including fees and slippage.

That’s why you can’t judge a trading strategy by its win rate alone.

I. Why Can a High Win Rate Still Lose Money?

What really determines long-term returns is the relationship between the win rate

$INIT $INIT That cursed woman is tempting us again🤔..$BR

Cross-chain transfers aren’t as simple as moving coins: 4 questions to understand before transferring

In the Web3 world, cross-chain technology connects assets and applications across different blockchains. But that doesn’t mean assets can move freely between networks without risk.

A cross-chain operation may involve locking and minting, burning and releasing, liquidity pools, or other cross-chain message verification mechanisms. Different mechanisms come with different trust assumptions and risks.

If you’re planning a cross-chain transfer, it’s a good idea to understand these four things f

Why might a trading strategy that performs well in backtesting fail in real markets?

If a trading strategy has high historical returns and a good win rate, does that mean it is worth investing real money in?

Not necessarily.

Some strategies perform well on historical data, but their returns drop significantly—or they even sustain losses—once deployed in real markets.

The problem may not lie in the trading logic itself, but in the testing method, cost assumptions, or changes in market conditions.

I. Why can backtesting inspire confidence so easily?

At its core, backtesting applies trading