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$ETH This kind of thing is why I never set an SL
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ETH-1.26%
What Are Support and Resistance Levels? Why Does Price Often See Repeated Battles in These Areas?

In cryptocurrency trading, BTC may sometimes rebound after falling to a certain area, or pull back after rising to another area. These recurring price reaction points are often related to support and resistance levels. But they are not precise boundaries that guarantee a price reversal; rather, they are important tools that help traders analyze market structure.

First, what is a support level?

A support level is a price area where stronger buying may emerge during a decline, potentially slowing
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BTC-0.67%
Trenches
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牛逼
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ON
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STONK
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FLOAT
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Bv1a...BMmr
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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, the performance of machine learning models depends not only on the algorithm, but also on the quality of their 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 more suitable for models to learn from.

First, how can price features be constructed?

You can calculate returns over different pe
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What Is Signal Filtering? How Can False Breakouts and Invalid Entries Be Reduced in Crypto Trading?

In crypto trading, many traders immediately chase the price when it breaks through a resistance level, but the price sometimes quickly retreats, forming a false breakout. The purpose of signal filtering is to screen out low-quality opportunities using predefined conditions after a trading signal appears, reducing unnecessary entries. However, more filters do not necessarily make a strategy more reliable.

First, what is signal filtering?

Signal filtering means checking the trend, trading volum
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What Is Signal Filtering? How Can It Reduce False Breakouts and Invalid Entries in Crypto Trading?

In crypto trading, many traders immediately chase a price breakout above resistance, but the price can quickly pull back, creating a false breakout. The purpose of signal filtering is to screen out low-quality opportunities using preset conditions after a trading signal appears, reducing unnecessary entries. However, more filtering conditions do not necessarily make a strategy more reliable.

First, what is signal filtering?

Signal filtering means checking the trend, trading volume, volatility,
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WTI Crude Oil is not at all liking this De-escalation in US-Iran War..
Stock Markets However, are loving it..
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CL-1.83%
market oportunity
live-cover
LIVE2,015
market update on gate
live-cover
LIVE2,022
What Is Class Imbalance? Why Can Cryptocurrency Prediction Models Look Accurate Yet Have No Trading Value?

In cryptocurrency quantitative trading, a model’s accuracy can easily be misleading. If most periods in the test data do not feature a strong rise as defined, a model that always predicts “no rise” may still achieve high accuracy, yet fail to identify real 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 example, only 100 out of 1,
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Why are X Premium users seeing ads too?
There's a line that says “Trade on fomo”
Could it be sneaking in a referral link?
Worried about phishing and stuff
@elonmusk @X
Some notable signals are starting to emerge on the $BTC side.
On the daily chart, the price continues to fall while RSI is making higher lows. In other words, even as the price hits new lows, selling momentum is not as strong. This is a strong positive divergence.
Yesterday's trading volume also gave me hope. Also, while Spot CVD is positive on most exchanges, Coinbase has not yet joined the buying in a meaningful way.
There is no confirmation of a reversal yet, but the picture is getting more interesting.
I would especially like to see buying pick up on Coinbase as well.
Let's see if the bul
BTC-0.67%
XHunt has updated its social feed—looks great. It really lives up to its reputation for having a sharp eye in the crypto world.

You can check it out by clicking the button next to Edit.

I didn’t use this plugin much before, but when you come across scam projects or KOLs who are all hype, it lays everything bare.

And now XHunt also has EchoHunt, where you can take on sponsored tasks and earn some nice cash rewards. I earned 300U this time, which made me pretty happy.
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What Is Backtest Overfitting? Why Might 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 returns in backtests. But better historical performance does not necessarily mean a strategy is more reliable. Overfitting historical data may instead make a strategy less able to adapt to future markets.

First, what is backtest overfitting?

Backtest overfitting occurs when a strategy is excessively tailo
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There’s no question that being bullish on gold makes sense; I’ve been emphasizing buying on pullbacks over the past couple of days.
World Gold data shows that global central banks made net gold purchases of 321 tons in the third quarter, up 42% year over year and setting a new record. The key drivers are reserve diversification and risk management.
So central banks are providing a floor for gold, but I still recommend waiting for tonight’s CPI data. If gold plunges because the CPI data is very bad, that’s your chance to buy at a steep discount.
If U.S. stocks plunge in the future and gold plun
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XAU+0.38%
Folks, this story just keeps getting more outrageous 🍉
Jensen Huang’s affair partner, Huang Le, is actually married!
Her husband, Kang Wei (the man in black pants in the photo)
The couple founded Hexi Investment, a secondary-market private equity firm whose assets under management peaked at nearly 20 billion
Kang Wei himself is also a big shot
Shenwan’s chief strategy analyst, the inaugural New Fortune Best Strategy Analyst, and general manager of China Ocean Fund
He also led the development of a computing power center in Songjiang, Shanghai, and later sold its equity
Then the Huichiu Technol
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$GT I've been dollar-cost averaging into GT consistently and forgot to post, so here it is now. GT seems to be the only one I DCA'd that hasn't taken a big loss. I bought some when it was at six. Ah, I should've bought more. The other coins I've been DCA'ing have tanked. Guys, if you have spare cash, DCA in.
GT-2.41%
🏆 Gate ranks among the global top three—giveaway time! 🎁
According to DeFiLlama (November 9), Gate ranks 3rd among global CEXs, with $40.66 million in 24-hour net inflows.
Let’s celebrate together 💙
🎁 3 winners × 5 USDT
Join now 👇
✅ Follow @Gate_Livezh and @Gate__Live
❤️ Like + repost
💬 What recent win are you proud of? Share below! 🏆
📊 Source:

‍#GateLive #Gate
GateLive
🏆 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! 🏆
📊 Source:
https://www.odaily.news/zh-CN/newsflash/532275
‍#GateLive #Gate
repost-content-media
$HYPE 1st Target Completed 👍

Take profits evenly out if I don’t mention the % of the position to close 🔥
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HYPE+0.33%
This morning, the early-session rebound-and-short setup for ETH played out as expected. $ETH

After rebounding, the price encountered clear resistance and failed to sustain its gains, then pulled back, matching the early-session forecast of a rebound meeting resistance and moving lower. The market remains volatile, so stay alert and continue watching how support levels hold, with risk management as the top priority.
#红牛双车登上巴西领奖台
ETH-1.26%
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