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 transforming raw data into information that is better suited for models to learn from.
First, how can price features be constructed?
You can calculate returns over different pe

The Fed held steady, but the vote was 10 to 2, with two votes outright calling for a rate hike😂
Forget about a rate cut in December; not hiking would be a New Year's miracle
$BTC At 8w, I really can't be bothered to guess anymore. No point betting on up or down; I’ll keep a light position and watch them argue
#BTC #FOMC

Xiao Te looks pretty handsome on a rainy day

As of today, the base case for the crypto market looks neutral to negative: sellers remain in control, but severe panic has not yet been confirmed.
Bitcoin looks more resilient than altcoins; ETH, SOL, and XRP remain weaker than the market, while BNB shows relative strength.
Deep Dive
1. Bitcoin sets the day's boundaries
Bitcoin (BTC) is trading around $79,785, down 1.3% over 24 hours and 3.5% over the week. The total crypto market capitalization has fallen to $2.67 trillion, while derivatives open interest is down 7.0% in 24 hours and 22.8% over the week. This looks more like deleveraging and

[ gm ] say it back

Treating crypto trading like a day job, clocking in and out on time every day, has actually helped me earn more.
In my first few years, I was like a lot of people: staying up all night watching charts, chasing pumps and selling dips, losing so much I couldn't sleep. Later, I gritted my teeth and stuck to just one simple method. Somehow, I survived and gradually started making steady profits. Looking back, the method is basic, but it works: if I don't see a signal I recognize, I don't trade. Better to miss a trade than place one recklessly. Thanks to this hard-and-fast rule, my annual returns h

$DOS $DOS Damn, things were going up just fine, then a sharp wick suddenly plunged down before shooting back up. This is exactly what you fear most when trading futures: you think the price is about to start rising, but then it suddenly drops with a sharp wick, catching you completely off guard. If you haven’t set a stop-loss and you’re using high leverage, you might not even have time to react before your position is gone

Sometimes, being too strong isn’t necessarily a good thing.

$JCT $JCT - Open a large long position now, and soon you'll thank me. Stop-loss: 0.0076 Take-profit: 0.0140 Round two, bigger profits are coming $JCT

$ETH Machi Big Brother came close to liquidation last night, took the loss, then turned around and bet even bigger.
As the market fell toward his liquidation price, he first backed down and closed 77 ETH in batches to protect his principal. But as soon as the FOMC decision came out, he went all in again—not only buying back the same amount, but ramping his position up to 475 ETH, sending his notional exposure soaring to $1.12 million.
His account now has just $43,000 backing a $1.12 million position, with effective leverage at 26x. His liquidation price is $2,314, just $45 below the current pr

Watching $XPIN cling to the moving average like it's afraid of the dark. Buyers have finally stepped in. Take profit: 0.000850Stop loss: 0.0007523Today's movers:
$BTC : Current price 79,796.7 - 24-hour change: -1.69%$Q : Current price 0.06373 - 24-hour change: +19.72%

Seeing fees come in from the liquidity pool every day feels pretty good. But when you do the math, you realize that if you hadn’t put those coins in and had simply held them, you might have more now.
This involves what people often call “impermanent loss.”
Take a common two-token automated market-making pool, for example. When the relative prices of the two tokens change, trading and arbitrage can alter the asset ratio in the pool. What you withdraw may not be the same quantities of each token you originally deposited.
Think of it as an automated exchange counter: when one type of asset gets m

#晒出我的合约收益 100u to 10000u the next day

Long $ON $ON Price is above the EMA lines, indicating that buyers remain in control and the uptrend may continue. Entry 1: 0.1810 – 0.1840Entry 2: 0.1730 – 0.1760Entry 3: 0.1670 – 0.1700Take-profit 1: 0.2045Take-profit 2: 0.2134Take-profit 3: 0.2534Stop-loss: 0.1590Note: If the price falls below the 0.1670 support zone, the bullish scenario will weaken. Consider deploying funds in stages and managing risk carefully.

It's here! The latest ETH trading guide—check it out! $ETH ‌

Net inflows surge into Gate's Top 2—does that mean prices are bound to rise? Don't let your wallet pay tuition!
Seeing a token rank among Gate's Top 2 for 24-hour net inflows has already put many people's fingers on the buy button, as if one second's delay would mean missing the last train to financial freedom. 😂
But here's the honest truth: capital inflows are a clue, not an answer; a high ranking is a signal to pay attention, not a notice of profits.
What is really worth studying is what happens after the inflows. If the price strengthens in tandem, trading volume confirms the move, and buy

A project is being used by more and more people around you, and there’s plenty of news about it. You bought its token, thinking: the product is so popular, so the token should benefit too, right?
The key is how the product’s popularity translates to the token.
It’s like a shopping mall that’s packed every day. Whether the loyalty card in your hand becomes more valuable depends on what the points can be redeemed for and what the rules are—not just how many people are lining up at the entrance.
It’s the same with tokens: Do users need to buy or spend the token to use the product? What practical