A major hack bombshell, yet it surged 80%? $INIT The whales’ master plan—retail traders, don’t become cannon fodder!

Once the bad news is out, it’s good news; whales are bloodthirsty and leave nothing behind!

Guys, the major bearish news of the INIT hack being halted has somehow sent the price up 80%! Look at the fund flows: major players are aggressively net buying over the medium to long term. Look at the liquidation map: there are shorts trapped all over above. And look at the whales: the long-short ratio is 234%, and shorts with an average entry price of 0.17 are now deeply underwater!

$AVAX ‌
The market structure has recently shifted from a strong bullish impulse to a consolidation phase; after a sharp breakout from the $7.775 base, the price established a local high at $9.013 but has since failed to hold the upper Bollinger Band, leading to a pullback that is currently testing the midline (MB: $8.595) as dynamic support. The K-line analysis reveals a series of lower highs following the peak, indicating short-term exhaustion, yet the price is holding above the 8.338 level which aligns with the middle of the current trading range.

Candlestick Pattern & My Prediction.

The

What Is Feature Engineering? How Can More Valuable Trading Signals Be Extracted from Price, Volume, and Volatility?

In cryptocurrency quantitative trading, the performance of machine learning models depends not only on the algorithm, but also on the quality of the input data. Raw price and volume records capture market changes, but may not directly express trends, momentum, and risk. Feature engineering is the process of converting raw data into information that is better suited for a model to learn from.

First, how can price features be constructed?

You can calculate returns over different

What Is Breakout Trading? How Can You Tell Whether to Enter or Wait for a Retest After Price Breaks Through a Key Area?

In cryptocurrency trading, when BTC breaks through a key resistance level, some traders chase the rally immediately, while others choose to wait for a retest. Both approaches have pros and cons. What really matters is not getting in before everyone else, but judging whether the breakout is likely to hold and planning for risk in advance.

First, what is breakout trading?

Breakout trading involves looking for trading opportunities according to predefined rules after the pric

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

Today, let’s talk about the higher timeframes

U.S. stocks rebounded last night, but crypto didn’t follow. Capital’s preferred choices show that crypto is still playing second fiddle.

See image 1: $ETH . ETH’s daily chart has broken below the bull-bear dividing line, also known as the bull/bear boundary at 2130-2190. A further breakdown on the daily chart would mean the structure has deteriorated, while recovery would take more time. A daily close back above 2190 would be a great buying opportunity.

See image 2: $BTC . BTC’s golden buying opportunity is at 72700. A break below that level would

This morning’s idea of shorting the rebound in BTC, ETH, and SOL played out in the expected direction. $BTC $ETH $SOL

After all three assets rebounded to resistance, none managed to mount a sustained advance. Buying support was weak, selling pressure emerged in succession, and prices subsequently pulled back. Although not all reached their preset targets, the pace of the rebounds meeting resistance and moving lower was in line with the morning outlook.

The assets showed slightly different volatility patterns. BTC and ETH were more closely correlated, while SOL had greater short-term volatil

The hacker's moves are hilarious: the UXLINK hacker barely had time to enjoy the stolen money before taking a massive loss.

The hacker finally cut losses and closed a 30,000 ETH long position held for nearly three months 11 hours ago. At its peak, the position was up $16.8 million! But guess what? In the end, it actually lost $1.106 million, closing at an average price of just $2,135.2.

After holding for three months, going from making tens of millions to losing over a million—at least it wasn't their own money. The hacker must be furious at Ethereum for failing to get it up!

🏆 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
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💬 What's a recent win you're proud of? Share it below! 🏆
📊 Source:
https://www.odaily.news/zh-CN/newsflash/532275
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What Is Feature Engineering? How Can More Valuable Trading Signals Be Extracted from Price, Volume, and Volatility?

In crypto quantitative trading, a machine learning model’s performance depends not only on the algorithm but also on the quality of its input data. Raw price and volume records capture market movements, but may not directly express trends, momentum, and risk. Feature engineering is the process of transforming raw data into information that is better suited for a model to learn from.

First, how can price features be constructed?

You can calculate returns over different periods,

From one liquidation after another at the beginning to clawing my way up from 5000u to having a house and car and a happy marriage, all in just two short years. I’ve also summed up 8 principles for respecting the market and sticking to my trading rules.
1. The market is never wrong; only I am. Don’t get mad at the market or subjectively fight the trend.

2. Any market move can reverse. There are no 100% certain opportunities, so always leave room for error.

3. Profits come from the market, not from my brilliant predictions. Don’t get carried away by profits or casually increase position sizes

Prediction played out | Rebound met resistance and fell as expected
Shorts in the BTC 75500-76000 resistance zone played out, with the price hitting a low of 74142 and offering 1300 points of downside.
A weak rebound doesn’t change the broader bearish structure. Follow the trend and short at higher levels, waiting for the next target.

What Are Precision and Recall? Why Should Trading Models Not Simply Aim for More Bullish Signals?

In cryptocurrency quantitative trading, a model may generate many bullish signals every day, but more signals do not necessarily mean more profitable opportunities. If a model frequently misclassifies falling markets as rising, traders may repeatedly hit their stop-losses. Precision and recall measure a model’s ability to identify bullish opportunities from different perspectives.

First, what is precision?

Precision is the proportion of samples that actually rise among all those the model class

What Is Volume Analysis? Why Is It Worth Paying Attention to Volume Changes When Prices Rise?

In crypto trading, price tells us which direction the market is moving, while volume can help us gauge market participation. When BTC rises, if volume increases alongside it, that may mean more traders are participating in the rally; if the price continues to rise while volume gradually declines, it’s worth watching whether the upward momentum is weakening.

First, what is volume analysis?

Volume analysis is a method of assessing market activity and price action by observing the number or value of t

BTC is at 74,300 now; the short we called at 74,900 this morning is already up over 600 points.
We said this morning that there was plenty of breakeven selling pressure above 76,000, so the rebound wouldn’t break through. And sure enough, it didn’t even touch 75,000 all afternoon, topping out at just 74,900—right at our entry price.
The 77,000 stop-loss hasn’t been threatened at any point.
Those of you who followed the trade, hold steady—this one is just getting started. The first target is 74,000, just a hair away.
CPI is at 9:30 tonight, and BTC will likely pick a direction around then. If i

#Gate股票畅聊季 AI Tech Stocks: The Exception and the Favorite—Why I’m Choosing AMD!

I’m bullish on AMD because it has had the strongest buying support in this rebound and has performance to back it up in its financial reports.
Data center business doubles: In the third quarter, the data center business grew about 2x, prompting Oppenheimer to upgrade its rating, with a price target of $600[6].
Lands a Google order: Google Cloud’s next-generation TPU 8tx uses AMD EPYC on the host side, giving AMD a visible and measurable share.
Nvidia leaves an opening: Capital is flowing out of Nvidia and into com