What Is Large-Order Splitting? How Can You Balance Execution Speed and Costs While Controlling Price Impact?

In cryptocurrency trading, placing a large order all at once can quickly consume resting orders in the order book, driving up the average purchase price or lowering the average sale price. Large-order splitting means dividing a large order into multiple smaller orders and executing them gradually according to a preset schedule or market conditions to reduce the price impact of concentrated trading.

First, why split orders?

When an order is larger than the quantity available at the cu

What is a market maker? How do they provide liquidity to the market by continuously offering buy and sell quotes, and what risks do they take on?

In the cryptocurrency market, traders need someone to sell when they want to buy and someone to buy when they want to sell. By continuously offering bid and ask prices, market makers help create more continuous quotes, reduce waiting times for some trades, and improve market liquidity.

First, what is a market maker?

Market makers typically place buy and sell orders in the market at the same time. For example, if an asset has a bid quote of 100 USD

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Understand DeFi Protocols—Don’t Just Focus on APY: Where Does the Yield Come From, and Who Bears the Risk?

In DeFi (decentralized finance), one question that’s easy to overlook is: when a protocol advertises an attractive annual percentage yield, where exactly does that yield come from?

APY is just a way of presenting the result; it does not, on its own, prove that a protocol is worth participating in.

To assess whether a DeFi protocol is sustainable, you can start by looking at these four areas.

I. Where does the yield come from?

Yield may come from interest paid by borrowers, trading fe

What Is Market Liquidity? Why Doesn’t High Trading Volume Necessarily Mean Large Orders Can Be Filled Smoothly?

In crypto trading, trading volume is often used to gauge market activity, but high volume does not mean the current buy and sell orders are necessarily sufficient. What really determines whether an order can be filled smoothly is the depth of orders at different price levels, the bid-ask spread, and the market’s ability to absorb buying and selling pressure as the order is executed.

First, what is market liquidity?

Market liquidity refers to how quickly an asset can be bought or s

People said crypto would moon in 2026.
Here’s the 1 year reality check from 11 Nov 2025 → 11 Nov 2026 that almost no one is posting:
$FET : $0.33 → $0.145
$TAO : $360 → $219
$RENDER : $2.05 → $1.62
$ONDO : $0.48 → $0.37
$ICP : $5.20 → $2.55
$LINK: $15.30 → $10.35
$INJ: $12.50 → $8.10
$SOL: $155 → $83
$SUI: $2.01 → $0.825
$AVAX: $17.00 → $8.40
11 Nov 2025 → 11 Nov 2026
Most are still down 30–60% over the full year.
The AI, RWA, and high-throughput narratives that were supposed to deliver the 2026 breakout have not.
Leverage is gone, weak hands are gone, and the timelines that called for a moon are

Wall Street really can't sit still this time.
Goldman Sachs, Citi, Deutsche Bank, Santander, and 17 other financial institutions have pooled about $270 million to launch a company that will issue a dollar stablecoin.
Internally dubbed Project Faro, the project had just 10 banks exploring the idea last October. By this September, the number had grown to 21, and they formally announced plans to establish a company. The funding will keep the new company going for five years. It plans to register in the U.S., launch a dollar coin in the first half of 2027, and then move on to the euro.
The most in

Why can you lose money even when you correctly predict the direction in futures trading?

In crypto futures trading, there’s a frustrating situation: you correctly predict whether BTC will rise or fall, but your account still doesn’t make money. The problem may not be your market prediction, but leverage, position size, trading costs, and execution.

First, excessive leverage. Suppose you open a position with a notional value of 10,000 USDT. If the price moves 1% in your favor, the theoretical profit or loss is about 100 USDT; if it moves 1% against you, the theoretical loss is also about 100

Why Is a Trading Journal So Important? How Can You Find the Real Reasons for Repeated Losses?

Many traders watch the markets every day, study indicators, and look for opportunities, but rarely take the time to carefully record their trading process. As a result, they keep making the same mistakes. After a loss, they remember how they felt at the time, but cannot explain exactly what went wrong.

The value of a trading journal is not simply to record how much money you made, but to help you analyze your decisions using data.

First, record complete trade information, including the asset traded

If You Buy an NFT, Do You Own the Copyright to the Work? Many People Get It Wrong from the Start

In the Web3 world, buying an NFT often means gaining control of a specific on-chain token. But does that also mean you own the copyright to the corresponding image, music, or digital work?

The answer is: not necessarily.

To understand the true value of an NFT, you need to distinguish between three different concepts.

I. You Own the On-Chain Token, Not Necessarily the Copyright to the Work

An NFT is a non-fungible token recorded on a blockchain. It can be used to identify a specific digital ass

What Is the Long-Short Position Ratio? Why Can Prices Suddenly Fall When Most of the Market Is Bullish?
In crypto derivatives markets, one data point worth watching closely is the long-short position ratio. It can help traders gauge market participants’ directional bias, but sometimes the more people in the market are bullish, the more likely prices are to see a sharp pullback.
First, what is the long-short position ratio?
Simply put, it reflects the relative proportions of long and short positions in the market. For example, a long-short ratio of 2:1 means that, according to the data, there a

What Is Trading Slippage? Why Can Ideal Fill Prices in Backtests Differ Significantly From Real Trading Results?

In cryptocurrency trading, the price traders see is not necessarily the final execution price. When an order is submitted, rapid market movements, insufficient liquidity, or a large order size can cause the actual execution price to deviate from expectations. This difference is called trading slippage. It may seem small, but it can steadily erode a strategy’s returns.

First, what is trading slippage?

Suppose you plan to buy BTC at 50,000 USDT but the order is ultimately filled at

The Larger the Token Supply, the Lower the Price? Don’t Be Misled by the Unit Price

In the cryptocurrency market, there’s a common way of thinking:

“This token only costs a few cents. If it rises to $1, wouldn’t I make a lot?”

That sounds appealing, but this line of thinking overlooks a key issue: a token’s unit price alone cannot reflect a project’s value.

I. Why Aren’t Low-Priced Tokens Necessarily Cheaper?

Suppose there are two hypothetical projects:

Project A: 1 billion tokens in circulation, priced at $1 each.

Project B: 100 billion tokens in circulation, priced at $0.01 each.

By

☀️ GM! CPI is out. Time to refresh your strategy? 🔄
US CPI rose 0.4%, with core CPI up 0.3%. Both beat forecasts. Nasdaq fell, while BTC dipped below $73K.

📌 Today's topic: What's your next move?
₿ BTC: Hold or reduce risk?
📊 Tech stocks: Any opportunities after the pullback?
⏳ Strategy: Adjust now or wait for PPI?

🎁 Share your take on Gate Square. Post to claim a red packet, with bigger rewards dropping at random.
👇 Share your updated plan: https://www.gate.com/post

Everyone says CPI crushed BTC to 73,000. But whales were already selling before CPI was released.
Over the past week, large addresses cut their holdings by more than 34,000 BTC, and the price slid from 79,000 to below 73,000. At the same time, Ethereum whales kept trimming their holdings, selling about 17,800 ETH over the week. At recent prices, that was worth about $40 million.
BTC whales are dumping in plain sight; ETH whales are quietly exiting.
CPI just turned selling from “orderly” into a “stampede”: $632 million liquidated in 24 hours, including $511 million in longs, while the probabili

POV:
Buying the dip in 2026.

Why can a trading strategy with a high win rate still lose money over the long term?

A trading strategy with an 80% win rate sounds excellent, doesn’t it?

But suppose you make 100 trades, win 80 times and earn $10 each time, and lose 20 times and lose $50 each time.

What’s the final result?

Profit: 80 × 10 = $800

Loss: 20 × 50 = $1,000

A final loss of $200, not including fees and slippage.

That’s why you can’t evaluate a trading strategy by looking only at its win rate.

I. Why can a high win rate still lose money?

What truly determines long-term returns is the relationship between the

$Awesome, I was just about to get stopped out—go up already