Intraday long trades
7️⃣ Long at 4114, exit at 4119, profit of $436
8️⃣ Long at 4117, stop-loss at 4112, -$562
Stay steady! Another wave of bearish momentum caught traders off guard!$XAU #AVAX利好短时上涨6.4% #黄金 ‌

Damn 🤣!!
Who’s seen it?
Is this Panzi for real??

$BTC Everyone is slowly turning bearish here,

One month ago, people were wishing for these levels so that they can accumulate more and now that it's finally in front of them,

They are fearful because they think it will go lower ? lol.

I have been perfectly calling these levels from the top and price did get here.

We are forming the classic liquidity engineering structure here combined with monthly open manipulation.

This is not how we form tops, if you look on the left side of the image you will see what a top formation looks like.

We are in the process of forming a local bottom, whi

A model couple in American tech circles

🏆 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

Breaking⚠️ Waller's view: Even if October CPI, due out tonight, comes in lower than September's, he still supports a 25-basis-point rate hike in December; if core CPI hits 0.3% or higher, a 50-basis-point hike in December could be on the table. $ETH

It's clear the Fed has little tolerance for inflation now, fearing price increases will continue to spread. This is also a key factor behind the market's sustained weakness recently, as investors are positioning early for rate-hike risks. Tonight's CPI data is crucial. #美国10月CPI即将公布

What Is Time Series Cross-Validation? Why Can't You Randomly Shuffle Training and Test Sets for Cryptocurrency Prediction?

In crypto quantitative trading, machine learning models often need to be trained on historical data before predicting future price movements. But if you randomly shuffle all the data and then split it into training and test sets, as in ordinary classification tasks, you may disrupt the chronological order and make the model's evaluation results overly optimistic.

First, what is time series cross-validation?

It is a method of organizing training and validation in chronol

$ETH The lower-timeframe pattern is forming a triangle, and a short-term upside breakout after consolidation seems more likely. It doesn’t look like a bearish continuation pattern, so a rebound is still expected in the short term. With all the negative news now out, the price should also start recovering and rising.

The biggest enemy is not the candlestick chart, but the fear within you. $BTC
Absolute command of the trend and a precise grasp of market sentiment. $ETH
Many people lose money because they give up in the darkness before dawn, right before the main rally. $JCT
Weather the bull traps and wait patiently for the flowers to bloom; that is the composure of a top trader.

$CL
SHORT
ENTRY : 84.4 - 85
LEVERAGE: 50X
TARGETS : 83.5, 82, 81, 80
STOPLOSS- 85.34
Use 1.5% fund

This is probably a good buy for the coming years $URNU

What Is Model Calibration? Why Doesn’t a 70% Probability of a Price Increase Mean the Price Will Definitely Rise?

In cryptocurrency quantitative trading, a machine learning model may predict a 70% probability that BTC will rise in the next period. But this does not mean the price will definitely rise, nor does it mean the model actually has 70% predictive accuracy. To understand whether probability forecasts are trustworthy, it is important to understand model calibration (Probability Calibration).

First, what is model calibration?

Model calibration focuses on whether predicted probabilitie

Financial privacy has economic value when disclosure changes how competitors trade, price risk or negotiate.
A market maker revealing inventory, an OTC desk exposing transaction size or a fund publishing treasury movements can surrender valuable information.
But concealing information from competitors is different from withholding evidence from authorized counterparties.
That’s the institutional use case behind @primus_labs’ FHE and zkTLS infrastructure.
FHE protects supported onchain balances and transactions. zkTLS authenticates external financial records without disclosing everything.
Five

11.9 ZEC Long/Short Strategy (Review)
[Trade Details]: $ZEC
4 winning trades in total, no losing trades
Long entered at 1190, exited at 1230, with 40 points of upside
Short entered at 1230, exited at 1190, with 40 points of downside

[Strategy Review]:
The strategy focused mainly on Range 4; neither the long nor short trades played out, and a downtrend has formed

[Current Market]:
A downtrend channel has formed on the higher timeframe, with a target of 1120. The current price is consolidating around 1140, back at Range 5. A downside breakout is more likely. Market depth shows ample short mom

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