You have 10 seconds to find the sensitive word in this sentence.
Anyone who can answer instantly has basically been thoroughly conditioned by the Chinese internet.

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,

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

Genuine question... how am I supposed to prompt AI? I gave Fabel 5.2 (max effort) a paper and asked questions I know the answer to and it completely failed. So many wrong conclusions.
Clearly I am not using tool correctly?

How Do Fees Change the Break-Even Win Rate? Why Can Frequent Trading Erode Profits?

In cryptocurrency trading, some strategies perform well in backtests, but their profits shrink significantly in live trading. The reason may not be poor market predictions, but trading costs such as fees, bid-ask spreads, and slippage. The more trades you make, the more important these costs become to your overall returns.

First, how do fees affect profits?

Suppose the profit target for each trade is 100 USDT, and the planned loss is 100 USDT. If the total cost of each completed trade is 10 USDT, a winning t

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

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

Aoying aggressively adds to its long position in Nvidia$NVDA ‌

What Is Time-Series Cross-Validation? Why Shouldn’t Crypto Predictions Randomly Shuffle the Training and Test Sets?

In crypto quantitative trading, machine learning models often need to be trained on historical data to predict future price movements. But if all the data is randomly shuffled and then split into training and test sets, as in a typical classification task, the chronological order may be disrupted, making the model’s evaluation results overly optimistic.

First, what is time-series cross-validation?

It is a method of organizing training and validation in chronological order. The

🏆 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! 🏆
‍#GateLive #Gate

What Is Walk-Forward Testing? Why Can Backtesting Over a Fixed Period Hide Strategy Flaws?

In cryptocurrency trading, market conditions are constantly changing. A strategy may perform exceptionally well in a bull market but suffer frequent stop-losses in a sideways market; it may also make a profit on a particular stretch of historical data but fail to adapt to subsequent volatility. Walk-forward testing can help traders assess how well a strategy adapts across different periods.

First, what is walk-forward testing?

Walk-forward testing typically divides historical data into consecutive tim

Where Are U.S. Stock Market Funds Reallocating? AI, Semiconductors, or Software—Where Is the Next Opportunity?

After the U.S. stock market rebound, where will capital flow? That’s what investors really want to know.
Over the past few years, AI has become a major theme in the tech market. But as the market has expanded, the AI industry has also begun to diverge internally.
First, the semiconductor sector. AI model training and inference require vast computing resources, keeping chips, memory, and high-speed interconnect equipment important. However, the industry is also cyclical, so investors

Heads up⚠️⚠️⚠️⚠️
Heads up⚠️⚠️⚠️⚠️
A 1:1 follower-to-following ratio will be automatically detected by the system as mutual following!!!
Guys, protect

JUST IN: Bitcoin ($BTC ) miner MARA sold 13,597 BTC for $1.1 billion in six weeks, roughly 2,270 BTC a week. It plans to sell more.

$ARB
SHORT
ENTRY 0.16870 - 0.17
TARGETS : 0.1658, 0.163 , 0.16
STOPLOSS: 0.17035
LEVERAGE: 50X
INVESTED FUND ONLY 2%

One Concern I Have With AI Agents Entering Financial Markets Is The Question Of Control.
We are getting closer to a world where software can research opportunities, analyse market conditions and interact with financial applications.
But the more responsibility we give these systems, the more carefully we need to think about what they're actually authorised to do.
Being capable of making a decision shouldn't automatically mean having unlimited permission to execute it.
This is one of the design choices behind @meetmotes that I find worth examining.
Each Mote has a dedicated smart account, and

Brother Bj arrived at the office at 10 a.m. and opened his futures account. He’s currently down 730,000, and his oil positions are down more than 4 million.
At noon, we grabbed a quick bite, then talked until now. He shared how he built his wealth trading steel in previous years, and today he brought along a bottle of 30-year-old Kweichow Moutai.
We talked in depth over tea. My biggest takeaway: if you don’t understand technical analysis, you absolutely shouldn’t touch futures. This business is nowhere near as simple as people imagine.
The most eye-opening thing was that Brother Bj feels no pr