A friend said, “I don’t watch the market every day. I put my coins in a pool and still earn a share of the fees.” It sounds like collecting rent, but where does that income actually come from?
Think of a liquidity pool as an automated exchange counter. When someone wants to swap one coin for another, the counter needs to have assets available for the exchange.
People who provide these assets are called liquidity providers, or LPs for short.
When users swap through the pool, the protocol charges a trading fee according to its rules, and a portion goes to eligible LPs. Some pools also allocate f

What Is Feature Standardization? Why Can Data with Different Units Affect Machine Learning Trading Models?
In crypto quantitative trading, a model may use features such as price returns, trading volume, volatility, and funding rates. However, these data can have very different value ranges. Without proper processing, some algorithms may be affected by feature scales and struggle to learn effective patterns consistently.
First, what is feature standardization?
Feature standardization converts data with different scales into more comparable numerical ranges. A common method is Z-score standardiz

$WLD Currently at 0.4162, down 5.54% over 24H (range: 0.4128–0.4538). The 1H trend is weak, with an RSI of 39; the 4H trend is weak, with an RSI of 33. If it breaks above 0.4538 decisively, watch for further upside. If it falls below support at 0.4128, the short-term structure may weaken. Market volatility is high; for observation only.

Big A’s ancestral precepts, remember them

📊 Google's Q3 earnings spark heated discussion | Post to claim red packets, weekly leaderboard winner gets up to 100 USDT!
Gate Square's “Weekly Share” trending-topic special is underway!
🎁 Event rewards
New user posts: 100% chance to claim a red packet
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1️⃣ Sign up for the event 👉 https://www.gate.com/campaigns/6244
2️⃣ Post your views with the topics #每周来晒 and #谷歌云增长103%股价却跌近10%
💬 This week's topic
Google's Q3 cloud business revenue surged 103% year over year, but net profit fell 25%, free cash flow turned negative, an

#GoogleCloudSurges103%ButStockFalls
Google Cloud Surges 103%, Yet Alphabet Stock Falls: The Hidden Cost of the AI Boom
The biggest challenge in the artificial intelligence race is no longer just building better technology. It is proving that the billions invested in AI can translate into sustainable profits, stronger cash flow, and long-term shareholder value. Alphabet’s latest earnings report captures this challenge perfectly.
Google Cloud delivered a remarkable performance in the third quarter of 2026, with revenue climbing 103% year over year to $30.71 billion. Demand for AI infrastructure

10.29 BTC Market Analysis
Short: around 80,800–81,200, stop loss at 81,600, targets at 79,800/79,000.
BTC is currently at 79,994. After plunging from 81,847, the market is now consolidating weakly around the 80,000 level and the previous low near 79,850. Given the steep short-term drop, opening a short at the current price risks being caught in a bullish rebound.
The 80,800–81,200 range above is a secondary breakdown point during this plunge and a key zone of concentrated moving-average resistance. Wait for a rebound to test this range and show resistance before entering a short. Set the stop

Gold's six-win intraday streak is over!
Long at 4042, stop-loss at 4037, -5 points, -871🔪$XAUT

Just wondering, are there many people who like cured pig's head?
Look at the texture of this meat!
Steam it until cooked and pull it apart by hand—the more you chew, the more flavorful it gets.
A real hearty dish to go with rice!

A friend sends you a screenshot of a strategy: “Using this method over the past year, the returns look great!” You look closely and realize it says “backtest.”
A backtest applies a set of trading rules to past market data to see what would have happened if you had followed them at the time. It can help test an idea, but it’s not the same as realized returns from live trading.
It’s a bit like taking exams from previous years. Doing well is certainly useful as a reference, but if you keep revising your approach by looking at the answers, getting a high score in the end doesn’t mean you’ll do jus

Someone created a new wallet, deposited 4M $USDC into #Hyperliquid, and opened a 5x long on 3,000 $XMR ($1.77M).

$ONEA 🌍 ONEA Network | One token, connecting future life
Cryptocurrency in the future should not exist only on exchanges.
Buying coffee, online shopping, digital subscriptions, creator payments, cross-border services...
We hope blockchain can gradually become part of real life, making value exchange more open and convenient.
🚀 ONEA Network's long-term vision
Built on community, exploring the potential applications of ONEA in everyday spending, digital services, cross-border payments, and the creator economy.
A Web3 ecosystem worth building requires more than just a token; it also needs real

What Is Backtest Overfitting? Why Can a Strategy With Perfect Historical Performance Fail Completely in Live Trading?
In cryptocurrency trading, some people keep adjusting indicator parameters, take-profit and stop-loss levels, and entry conditions until the strategy achieves the highest possible returns in historical backtests. But better historical performance does not necessarily mean a more reliable strategy. Overfitting to historical data may instead make a strategy less capable of adapting to future markets.
First, what is backtest overfitting?
Backtest overfitting occurs when a strategy

$BTC The 80k support level was instantly breached! 200k traders wiped out overnight—who is slaughtering the bulls?
On the evening of the 28th, BTC plunged from 81,823 to 80,397. On the surface, it was a combination of rising Middle East tensions and risk aversion ahead of the Fed’s FOMC meeting, but the real blow came from a cascade of leveraged liquidations: after breaking below the psychological 80k level, more than $815 million in positions were liquidated, hurting 200k traders, overwhelmingly on the long side. Even more damaging, MicroStrategy suddenly paused its weekly Bitcoin purchases,

In 2019, Justin Sun spent $4.57 million just to have a face-to-face lunch with Warren Buffett. Not long afterward, the meal was suddenly postponed, with the reason given that Sun had kidney stones. The public was skeptical, and many people believed it was a carefully orchestrated marketing stunt. The lunch finally took place in January of the following year.
In 2024, he spent another $6.2 million, but this time what he bought was a banana taped to a wall—the Italian artist Cattelan’s “Comedian.” After buying it at Sotheby’s, he went to Hong Kong for a press conference and ate the banana in fro

#Gate24HNetInflowsRankTop2
Gate Records $57.97 Million in 24-Hour Net Inflows — A Strong Signal of Market Activity
In crypto, exchange growth is not measured by trading volume alone. The movement of digital assets across exchange wallets can also offer valuable insight into how capital is being allocated and where market participants may be positioning themselves.
According to the figures provided for this report, Gate recorded approximately $57.97 million in net inflows over 24 hours, ranking second among global centralized exchanges. This reported achievement deserves attention because it h

$UB
UPDATE
#UB is holding a strong support here. After breakout we can see 30%+ drop here ✍🏻

$PEPE Strength and Crowding Are Emerging at the Same Time; The First Pullback Will Be the Real Test
The current price of 0.00000499 USDT is like a sheet of paper that has been folded over and over. $PEPE surged from 0.00000471 to 0.00000523 within 24 hours, and behind the +2.89% gain lies a subtler signal: both the 1-hour and 4-hour charts show a bullish stance, but trading participation is only 0.17x. This combination of strength and crowding often tests judgment more than a simple rise or fall.
My view: the trend remains bullish, but whether buyers step in at higher levels matters more than