$BTC This price action looks a lot like the market before past escalations in Middle East tensions—not in terms of price, but in that numb feeling of “the news hasn’t landed yet, so the market is pretending nothing’s happening.” For example, around the escalation of the Iran-Israel conflict in April 2024, BTC first traded sideways near $70,000, while trading volume during the Asian session dropped noticeably. Once the news broke, it quickly pulled back to around $61,000, then recovered as sentiment settled. The early stages of the Israel-Hamas conflict in October 2023 were similar: prices drop

🏆 Gate hits the global Top 3 — giveaway time! 🎁
Per DeFiLlama (Nov 9), Gate ranked 3rd globally among CEXs, with $40.66M in 24-hour net inflows.
Let's celebrate 💙
🎁 3 winners × 5 USDT
Join in 👇
✅ Follow @Gate_Livezh & @Gate__Live
❤️ Like + Repost
💬 What's a recent win you're proud of? Share it below! 🏆
📊
congratulations 🎉🎉 to all
$NVDA $GT $BTC
#GateRanksThirdIn24HNetInflows #GateLive #Gate #ShareWeekly

The stock market is a device for transferring money from the impatient to the patient.
- Warren Buffett.

What Is Class Imbalance? Why Can Cryptocurrency Prediction Models Look Accurate Yet Have No Trading Value?

In cryptocurrency quantitative trading, model accuracy can easily be misleading. If most periods in the test data do not feature a strong upward move that meets the defined criteria, a model that always predicts “no rise” may still achieve high accuracy, yet fail to identify genuine trading opportunities. This is the problem caused by class imbalance.

First, what is class imbalance?

Class imbalance occurs when the number of samples in different classes varies greatly in a dataset. For

What Is Survivorship Bias? Why Can Studying Only Coins That Still Exist Today Overestimate a Strategy’s Returns?

In the cryptocurrency market, some traders select currently popular and actively traded coins for historical backtests, then use the results to judge whether a strategy works. But if they ignore projects that have been delisted, lost liquidity over time, or performed very poorly, the backtest results may be systematically biased. This phenomenon is known as survivorship bias.

First, what is survivorship bias?

It refers to focusing only on objects that still exist or have succeede

AI unicorn Anthropic is pushing hard to knock on Nasdaq’s door before Thanksgiving. Do you think it can secure a $100 billion valuation this time?
Recently, the U.S. AI sector has been highly volatile, and market euphoria has cooled considerably.
The wild figures floated a while ago—raising $69.3 billion at a $2 trillion valuation—were quickly denied and retracted by the company, exposing the fierce tug-of-war between underwriters and potential buyers.
The roadshow has officially kicked off. So what will the valuation actually be?
Judging by the latest negotiations, the early dream of a $2 tri

The U.S. October CPI data will be released tonight at 21:30. The headline CPI monthly rate is expected to fall to 0.30% from the previous reading of 0.60%, while the core CPI monthly rate is expected to decline to 0.20% from 0.30%. The market expects inflationary pressures to ease.

There are three main scenarios for the release:

In line with or below expectations: Cooling inflation is confirmed, rate-cut expectations may rise, and the market could recover.

A stronger-than-expected rebound: Stokes concerns that inflation is persistent, revives expectations of tighter policy, and may put pres

Ondo Falls Below All 3 Daily EMAs as Selling Pressure Intensifies
ONDO remains tilted toward a downtrend.
As of November 9, ONDO is trading around $0.352, with the price still sitting below all three key daily EMAs. Specifically, the EMA20 is around $0.4009, the EMA50 is at $0.4186, and the EMA200 is near $0.3866. This indicates that the medium-term structure remains weak, even though the price is showing signs of slight stabilization on shorter timeframes.
⚠️ Personal market analysis only. NFA — manage risk and DYOR.
Educational content, not investment advice or a recommendation to buy, sell,

Cathie Wood was buying while everyone else was capitulating again. She spent 45.9 million buying Nvidia at Thursday’s lows, then kept adding on Friday. That’s just how she is: the more it drops, the more willing she is to buy. She’s betting on computing power three to five years from now, not this week’s chart. Whether you follow her is another matter, but putting real money on the line beats just calling the bottom. Are you still holding NVDA?

When the market is flat, that's when you lose the most.
Why? Because when the market gives you no opportunities, you create them yourself.
After three days of sideways trading, you think, “It has to move soon,” and place a trade.
You lose on that trade, refuse to accept it, and place another.
By the end of the day, the market has moved just 0.5%, but you’re down 8%.
So the key to keeping your hands off isn’t “resisting”—it’s “making sure your hands can’t reach it.”
First: turn it off.
Remove your trading app from your phone’s home screen and bury it in a folder.
Close all the browser tabs on y

The work you avoid the most is usually the work you need to do.
First 8km run ever 🥹😮‍💨
Two months ago, if you'd asked me, I'd have told you how much I don’t like running.
All through my fight training, the thing I said most "I really don't like running."
I still don't love it.
But who said that everything that is good has to be enjoyable?

AI agents are no longer just a concept at product launches—they’re entering the congressional legislative process. S.5051 is called the AI AGENT Act. What’s most notable isn’t “tougher regulation,” but giving your personal agent an “ID card.” According to the bill’s text, agents on platforms with more than 50 million U.S. users could gain legal authority to act on users’ behalf, even in areas like personal finance. Imagine asking your agent to move 10% of your paycheck into a money market fund every month, automatically compare prices before renewing subscriptions, pay your credit card bill on

$HYPE Today, just one anomaly: price at 74.58, down 11.7% over 7 days, stuck at the bottom—yet volume has been about twice the usual level all along. I hadn’t checked the past couple of days; took a quick look today…and wait, it’s the one making waves elsewhere, and it’s also behind a new on-chain development: an L2 built specifically for arb settlement has moved to HyperEVM, all of uni’s V2, V3, and V4 are live, and gas is settled in HYPE.

Here’s the question: a pile of new things are pouring onto the chain, but the price keeps sliding toward its 7-day low, while volume stays about the same.

People like this are part of the problem in the crypto space.
How do you buy a coin at $307 and sell at $371? What's the point?
Dumbas paper hands 😠😠

I feel like netizens are going to be driven crazy by Sun Ge. Sun Ge has completely let loose now, going all out. Top-tier @justinsuntron

This is ridiculous! It launched and immediately tanked hard, dropping two zeros—now it’s down three zeros. I feel like it’s going to lose another zero. What was even the point of launching it? Sigh, who would still dare to buy in? Everyone’s just holding the bag now. My heart is ice-cold.

US stocks are finally showing some signs of life! 🔥

On one hand, US October CPI is about to be released; on the other, the S&P 500 just posted its biggest single-day gain in nearly 7 months, giving the market plenty to talk about.

Here are three key areas to watch:

📊 **Inflation:** Can CPI continue to cool? If the data comes in below expectations, will rate-cut expectations rise further?

₿ **Crypto market:** Can BTC continue to rebound on macro tailwinds, or will we see another “buy the rumor, sell the news” event?

📈 **US stocks and gold:** Is this rally an oversold bounce, or are AI a

What is out-of-sample testing? How can you tell whether a trading strategy truly generalizes?

In cryptocurrency trading, a strategy that performs well in historical backtests does not necessarily mean it can adapt to future markets. To prevent a strategy from simply memorizing past data, traders need to use out-of-sample testing to check whether it still performs reasonably on data that was not used in its development or tuning.

First, what is out-of-sample testing?

Out-of-sample testing means using data that was not involved in selecting or optimizing strategy parameters to evaluate the st