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Why can large trades still cause slippage when liquidity is ample?
Many traders believe that choosing high-volume, liquid cryptocurrencies means they can avoid slippage. In reality, ample liquidity can only reduce some execution risks; it does not mean orders of any size can be filled at the expected price.
The key point is that good overall market liquidity does not mean there will be enough executable quantity at the exact moment you place your order and within that specific price range.
First, market liquidity is not the same as liquidity at a single price.
A trading pair may have high dail
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I open my account every day and see a little more in staking rewards, which feels pretty good. But when I do the math at the end of the month, why is the value in U lower than when I started?
You need to look at two things at once: how many coins you have and how much each coin is worth now.
It’s like running a fruit shop. Your stock of apples grows from 100 boxes to 105, so you have more apples. But if the price per box drops from 100 yuan to 80 yuan, the total value of your inventory still falls.
Staking works the same way. Say you start with 100 coins worth 10 U each, for a total of 1,000 U
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$ETH College girl selling her own ETH!! Bought it last October for $4,000. Selling at a discount now, just $2,500 each. 99% like new. It’s been sitting in my wallet gathering dust. 😂😂😂😂😂#比特周周 $BTC $ETH
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ETH-1.26%
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If it falls 50% and then rises 50%, are you back to break-even? Many people’s first reaction is: the drop and rise cancel each other out. Actually, they don’t.
Take a spot trade as an example: You use 1,000 yuan to buy a coin. Its price falls 50%, so your holdings are worth only 500 yuan. Then the price rises 50%, adding 250 yuan based on that 500 yuan, leaving you with just 750 yuan. Ignoring fees, you’re still down 250 yuan.
The problem is this: the drop is calculated from 1,000 yuan, but by the time of the rise, the starting point has already fallen to 500 yuan. The same 50% represents comp
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One night, two different outcomes for AI—isn’t this a case of mutual pursuit?😂
Google Cloud revenue doubled, but the stock plunged 10% after hours;
Microsoft Azure grew 48%, and the stock rose 2.9% after hours.
Google $GOOGL spent $51.4 billion on capex alone this quarter, while free cash flow came in at negative $9.1 billion. Earnings per share were $2.12, versus market expectations of $3.01—a miss of nearly 30%;
Microsoft $MSFT spent $39.4 billion on capex, $6.5 billion less than expected, and Azure growth is set to accelerate to 49%-50% next quarter.
Both are pouring money into AI. One i
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GOOGL+1.58%
MSFT+0.17%
Benjamin Cowen warns Bitcoin bears are in control? Key price levels reveal what?
Bitcoin is losing short-term momentum, and analyst Benjamin Cowen says the $83,000 level is now a critical technical threshold. After failing to hold most of its move up to $87,000, Bitcoin closed last week around $82,042. Cowen says another weekly close below $83,000 would make the recent rally look increasingly like a bull trap.
He also flagged that Bitcoin has dropped back below its 50-day moving average, a signal that is appearing across multiple risk assets. Nasdaq, the Dow Jones, Ethereum, and several altcoi
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crypto market update
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LIVE2,697
time to erase this zero
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$SOL is $102 and BNB $755, both up about 1% while Doge and Ton barely twitched. The whole market is a thin slice of watermelon, fren. Which one leads the next leg? NFA.
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The Cursor team's iteration speed is there for all to see; Grok @bot is shipping new features almost every day.
The tradeoff, though, is that Cursor-series products are far less available than the Grok series.
Grok Bot went down again today, and judging by the chart, yellow accounts for maybe half the days.
🔹SK Hynix Warns of Memory Chip Shortages Through 2030! Just How Strong Is AI Computing Demand, and
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What Is the Difference Between Mark Price, Last Traded Price, and Index Price? Why Do They Affect Futures Trading?
In crypto futures trading, some people see that the last traded price has not yet reached their expected level, yet their account is already showing a large unrealized loss or is even close to liquidation. Others find that the price on the candlestick chart does not exactly match the price the platform uses to calculate risk.
One important reason is that the last traded price, index price, and mark price are not the same thing.
First, the last traded price: the price of the most r
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Gold Never Sleeps, So Traders Shouldn’t Either? What’s the Big Deal About Gate’s 7×23 Gold CFD Trading?
Recently, Gate launched 7×23 gold CFD trading, raising a soul-searching question: Now that gold is working overtime, is our wallet getting ready to pull an all-nighter too?
Hold on before getting excited. The appeal of this service is that it gives users more time to keep an eye on gold price movements, rather than having to plan trades around traditional market hours. For traders used to tracking global markets, the added flexibility is certainly worth exploring.
But here’s an easily overlo
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Big names have stumbled this year: Buffett and Duan Yongping $GOOG
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Check in every night before bed, complete two tasks during lunch breaks, and spend some time looking into points on the weekend. After a month of work, you finally receive an airdrop. Your first thought is bound to be: “All that effort paid off!”
But don’t rush to count the entire reward amount as money earned.
It’s a bit like trying to meet an e-commerce spending threshold for a discount: you may get plenty of coupons, but to know whether you actually saved money, you also have to count what you spent buying extra items to qualify.
For example, if you sold the airdrop for 120U, spent 25U on i
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Just tried my luck with @Beezie and pulled this beautiful bird, was hoping for a Pikachu but this is a pretty good start to getting back into Pokémon cards
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Why do large orders sometimes need to be executed in batches? Is splitting orders always more cost-effective?
In the cryptocurrency market, placing a large order all at once may not be the best choice. The order may consume multiple price levels, causing the average execution price to deviate from expectations. As a result, some traders may consider splitting a large order into several smaller ones.
But splitting orders is not a guaranteed way to profit; it addresses execution issues, not guarantees of trading profits.
First, why can large orders affect execution prices?
Liquidity in the order
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If an account goes from 2,000 to 3,000, can you say you made 1,000? Not so fast—you also need to check whether any new money was deposited along the way.
Suppose the account’s total assets were 2,000 yuan at the beginning of the month, and another 1,500 yuan was deposited during the month, with no withdrawals. If total assets reach 3,000 yuan by month-end, then assuming there were no other inflows or outflows, you actually lost 500 yuan rather than made 1,000 yuan.
Conversely, if you had 2,000 yuan at the beginning of the month, withdrew 800 yuan during the month, and had 1,500 yuan left at mo
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FXRP, Flare's wrapped XRP, had 20M tokens working in DeFi on other networks by October, five times the 4M on July 9.
It reaches Ethereum, Base, BNB Chain, Monad, Katana and Hyperliquid, where it became the first XRP spot pair.
@FlareNetworks
XRP-1.15%
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