A friend sent over a screenshot of a strategy: “Using this method over the past year would have delivered great returns!” On closer inspection, it turned out to say “backtest.”
A backtest applies a set of trading rules to past market data to see what would have happened if you had followed them at the time. It can help test an idea, but it’s not real trading profit that has already hit your account.
It’s a bit like taking exams from previous years. Doing well is certainly useful as a reference, but if you keep tweaking your approach based on the answer key and eventually get a high score, that

#Federal Reserve Rate Decision Countdown
The Federal Reserve rate decision is reaching a critical moment: global financial markets are about to face a new test!
With the Fed’s rate decision approaching, global investors are closely watching the latest developments in U.S. monetary policy. From Bitcoin and Ethereum to gold, U.S. stocks, and the U.S. Dollar Index, market participants are waiting for new policy signals to gauge the market’s next moves.
The rate decision is so important because it affects not only borrowing costs in the United States, but also global capital flows, investors’ risk

What Is Class Imbalance? Why Can Cryptocurrency Prediction Models Seem 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 rally as defined, a model that always predicts “no rally” may still achieve high accuracy, yet fail to identify genuine trading opportunities. This is the problem of class imbalance.
First, what is class imbalance?
Class imbalance occurs when the numbers of samples in different classes in a dataset vary greatly. For example, only 100 out of 1,000 sa

Very powerful$MU $BTC ‌$GT ‌$ETH ‌$SOL ‌#Gate24小时净流入Top2

Someone created a new wallet, deposited 4M $USDC into #Hyperliquid, and opened a 5x long on 3,000 $XMR ($1.77M).

Seeing fees flow into the liquidity pool every day feels pretty good. But when you do the math, you realize that if you hadn’t deposited those coins and had simply held them, you might have more now.
This brings us to what people often call “impermanent loss.”
Take a common two-token automated market maker pool as an example. When the relative prices of the two tokens change, trading and arbitrage alter the asset ratio in the pool. When you withdraw, you may not get back the original quantities of each token.
Think of it as an automated exchange counter: when one token gets more expensive, tha

$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

On the 4-hour higher timeframe, last week’s short at 4079.78 fell to a low near 3970, then a long was signaled at 4004.3. After consolidating for 2 days, the market started pushing higher this week. In the early hours today, after the Fed announced its rate decision, the rebound extended to test the pink zone of last week’s 4079 short, then fell again. This is no coincidence.

Why are spot and futures prices different for the same coin?
You open the trading page and see one price for a coin on the spot market and another for its contract. Is the platform displaying the wrong price?
Usually not. They trade in different markets, each with its own buy and sell orders, so their prices won't be identical every second.
It's like buying a bag of coffee beans now versus agreeing to take delivery next month—the negotiated prices may differ. Contract prices are also affected by factors such as supply and demand, funding costs, and time to expiry.
The price difference between

Target 4 smashed now
$BLESS

During regular trading, among the Magnificent Seven, Alphabet A rose 1.34% and Amazon rose 0.59%; Microsoft fell 0.06%, Tesla fell 0.80%, Apple fell 0.94%, Nvidia fell 1.17%, and Meta fell 1.24%.
The Philadelphia Semiconductor Index rose 1.75%, closing at 11684.00 points. Micron rose 5.86%, Arm rose 4.10%, Marvell rose 3.32%, AMD rose 3.24%, and Broadcom rose 2.77%.
Storage stocks performed strongly, with SK Hynix's U.S.-listed shares rising 13.30%, SanDisk rising 7.66%, Silicon Motion rising 7.56%, and Seagate rising 4.51%. Optical communications company Lumentum rose 5.52%, while Corning ros

This person might be a real pro—they know how to take things one step at a time. This alone is enough to say they’ve already won the man over.

$BTC only Option Sellers understand this game..
$110 million long liquidated in last 3 hours on no news..

Xiao Te looks pretty handsome on a rainy day

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

What Is Signal Filtering? How Can It Reduce False Breakouts and Invalid Entries in Crypto Trading?
In crypto trading, many traders immediately chase the price when it breaks through a resistance level, but the price sometimes quickly falls back, forming a false breakout. Signal filtering aims to screen out low-quality opportunities after a trading signal appears by applying predefined conditions, reducing unnecessary entries. However, more filters do not necessarily mean a more reliable strategy.
First, what is signal filtering?
Signal filtering means checking the trend, trading volume, volati

Trade with the trend—a month-long bearish outlook!
A rebound is an even better entry point. When lots of people are short, you think the market should move in the direction you have in mind. You’re short, so does the price have to drop the moment you open a position?!
When you’re hungry, you eat—but you can’t expect to feel full after one bite, right?!
When the price drops, you still can’t hold on? That’s not the market’s fault. Take a good look at your own understanding and discipline, then trade!