Why Is the Liquidation Price Different from the Market Price You See?

You open your trading app and see that BTC’s latest traded price has not yet fallen to your liquidation price.

But your account’s risk warning has already changed, or even your position has been forcibly liquidated.

Why does this happen?

One important reason is that in contract trading, the market price you see, the price the platform uses to assess liquidation risk, and the price used as a reference for the broader market may not be the same.

Understanding the difference between the latest traded price, mark price, and

This has been going on for a long time. Prices usually fall on Mondays during the morning in China, sweeping liquidity from futures positions, then rebound before the U.S. market opens at night to keep institutions from coming in and buying at lower prices. Once this wick has been put in, you can finally put your worries to rest. Altcoins have fallen much less than expected, so just be patient and wait! The more of a drawdown you can withstand, the longer you’ll be able to hold on when prices rise in the future—returns of several times or even more than ten times are possible. Otherwise, the s

BTC is at $75,200 now. After one weekend, it seems all the bad news has arrived:
Binance was hacked, the Democrats won the midterm elections, Huang had an affair, and interest rates are set to rise next month. Everything that could weigh on the market has hit it.
The story about Huang is real, not a joke. The Nvidia CEO sent employees a letter over the weekend, admitting that he had wronged his wife and had an affair. The other party was accused by US media of having ties to Chinese intelligence, an allegation the Chinese Embassy denied. Nvidia’s board is now investigating. Huang is still CEO,

Why Can a Small Adverse Price Move Cause Massive Losses When Using High Leverage?

In the cryptocurrency market, some traders use high leverage because they hope to control larger positions with less margin.

But they often overlook one key issue:

Leverage amplifies not only potential gains, but also the rate of losses relative to their own margin.

When the price moves against them, their margin can shrink rapidly. Once account equity is insufficient to meet the platform’s maintenance margin requirement, forced liquidation may be triggered.

I. How Exactly Does Leverage Amplify Risk?

Suppos

☀️ GM! A new week begins—what’s in store for the markets? 🎬
Last week, nonfarm payrolls came in above expectations, and the Nasdaq rebounded on Friday, though it remained under pressure for the week. BTC briefly fell below $75K, and CPI is due tomorrow night. 👀

📌 Today’s featured topic: What do you think the market will do next?
₿ BTC: Stabilize and rebound, or keep looking for support?
💻 AI tech stocks: Can Friday’s rebound continue?
📊 US CPI: What impact will the new data have on the markets?

🎁 Share your market outlook and trading strategies on Gate Square. Post to earn red envelope

📡 Signal card | Repost mode
Just caught a new BTCSOS signal:
KOL: Bitcoin Feiyang Asset: $BTC Short Entry: 75500 Stop loss: 77700 Target: 72488 Time: Not specified
By the way, I reposted this person’s $ETH trade earlier today, and here they are again—pretty prolific 😂
I’m just reposting the signal as-is. They posted it; whether to follow it and how large a position to take is up to you. Don’t get carried away.
For personal records and sharing only; not investment advice. #ModernaQ3ReturnsToProfitabilityRaisesFullYearRevenueGrowthOutlook

Why Might a Trading Strategy’s Returns Come from Just a Few Trades?

A strategy has high cumulative returns and a decent win rate.

But if you remove the few most profitable trades and the entire strategy goes from profitable to losing, would you still consider it to have a stable trading edge?

This question is more worth exploring than simply looking at the rate of return.

I. First, See Where the Returns Actually Come From

Suppose a strategy completes 100 trades and ends up with a net profit of $1,000.

On the surface, the strategy is making money.

But a closer breakdown shows:

* The fir

Why Aren’t Limit Orders Always Cheaper Than Market Orders?

Many traders believe that limit orders let them control the execution price, while market orders can incur slippage, so limit orders must always be more cost-effective.

But in real trading, there’s an often-overlooked issue:

A better price doesn’t necessarily mean a better overall trading outcome.

To determine whether an order type is suitable, you need to consider not only the execution price, but also the probability of execution, the cost of waiting, and the cost of missing a trading opportunity.

I. The Biggest Advantage of Lim

Jensen Huang's girlfriend is quite attractive, the quintessential Asian business executive type, with a bit of a Korean vibe, elegance, and a pair of smiling eyes. She's my type 😍

Do you think you made money because you researched deeply enough? Could it be you just happened to catch the start of a rally?
In a bull market, you can make money by researching just a few projects, making you think you have a knack for picking winners.
The bear market is the opposite: the more you research, the more bullish you become; the more bullish you are, the harder it is to sell. You buy the dip, add more when it gets cut in half, and eventually research your way into becoming a bagholder.
Many people only research why a project is worth buying, not why the market might keep falling.

🔥 TRON WIDENS GAP WITH ETHEREUM, LEADS USDT RACE
TRON continues to increase its influence in the stablecoin market. USDT supply on the $TRX network has reached around $93 billion, far exceeding the $68 billion on $ETH.
Notably, the gap between the two ecosystems has reached $25 billion, marking an all-time high.
🔹 Low fees, fast speeds: TRON continues to attract USDT flows thanks to its low transaction fees and efficient processing speeds.
🔹 Ethereum still plays a major role in DeFi: However, USDT flows are gradually expanding to other blockchains, with TRON standing out the most.
🔹 TRON

Why Can Repeated Parameter Adjustments Make a Trading Strategy More Fragile?

Many traders go through this process when optimizing a strategy:

The first backtest delivers average returns.

After adjusting the parameters, returns improve.

With further adjustments, the win rate rises, drawdowns shrink, and the equity curve looks increasingly attractive.

So you feel that you have finally found a better strategy.

But when the strategy enters a new market environment, its performance quickly deteriorates.

The problem may not be that the parameters are insufficiently precise. It may be this: wh

The two people footing the bill for Trump’s $500 billion Stargate: Oracle’s Ellison and SoftBank’s Masayoshi Son
@grok If OpenAI collapses, will Masayoshi Son go bankrupt?

Calling it a wrap; I'm not betting on the finals anymore
Made 30k U on this League of Legends prediction
Made 20k U on Polymarket
Same as last year and the year before
I'll just make 50k U a year and call it good
Thanks, League of Legends
You could say you've given me 1 million RMB over three years
All those years playing weren't for nothing

Jensen Huang having an affair—what does that have to do with my account?🥲

📊 **MARKET OUTLOOK: BTC, AI STOCKS & US CPI — WHO WILL DOMINATE THE MARKET?**

The market is in a highly uncertain phase. After US Nonfarm Payrolls (NFP) data exceeded expectations, investors are now focused on the upcoming US CPI release.

**₿ 1. Bitcoin (BTC)**
BTC briefly fell below $75,000. In my view, this area is an important one for market participants to watch. If selling pressure starts to ease and buyers return, a rebound is still possible. However, if support fails to hold, BTC could seek a lower support level.

**💻 2. AI Technology Stocks**
Friday's Nasdaq rebound brought hope fo

I think 735 is basically where this decline has run its course, and it’s within my own forecast range. CPI data comes out tomorrow, and as long as there’s no major negative news, the price won’t fall much. A minor negative could bring it down to around 724, and that should be about it. I ran the numbers, and tomorrow’s CPI data is very likely to be positive. Based on that, 735 is probably the bottom of this decline.

However, just in case my forecast is wrong, I’ve left myself room down to 720–690. If the price falls that far, I’ll still be able to handle it calmly.

I made another mistake buy

🌟 A sub sent me this in the middle of the chop.
He's been subscribed for months, did well in the last rally and his advice to new subs is to be patient.
You don't need a new trade every day.
Build wealth with us here 👇