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

📡 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 do some trading strategies make money in backtests but fail to cover even trading costs in live trading?

A trading strategy shows profits every month in backtests.

But after you actually start trading, you find that your account returns are far below expectations. You may even get the direction right, yet your account balance keeps falling.

The problem may not be that you misread the market, but that you underestimated trading costs.

Profits in backtests are only theoretical results. Returns after deducting real trading costs are closer to the money you can actually keep.

I. Trading c

Feels like Zuckerberg is the only ultra-rich guy left who still flaunts his loving-husband image.
Bezos, Bill Gates, and Jensen Huang have all cheated or gotten divorced.
Looking around, Musk is the most honest: he’s been a scumbag from beginning to end, and makes no secret of it.
Why do rich people bother cultivating a loving-husband image?
They should learn from Musk’s scumbag image!
It’s the safest, least likely to blow up.
The most antifragile!

Why can even a small adverse price movement cause huge losses when using high leverage?

In the cryptocurrency market, some traders use high leverage because they want to control a larger position with less margin.

But they often overlook one key issue:

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

When the price moves against you, your margin can quickly shrink. If your account equity falls below the platform's maintenance margin requirement, forced liquidation may be triggered.

I. How exactly does leverage amplify risk?

Suppose you

What exactly is the difference between isolated margin and cross margin? Why can the same loss have a completely different impact on the overall account?

In cryptocurrency futures trading, many people focus on leverage, entry prices, and stop-loss levels, but overlook an equally important question:

Are you using isolated margin or cross margin?

These two margin modes affect how margin is allocated, how account funds are used to bear risk, and how far losses on a position may reach.

The core difference between isolated and cross margin is not that one is necessarily safer, but how margin is

Can someone teach me how to apply for a physical card?

Why can more perfect backtest performance sometimes be more cause for concern?

In cryptocurrency trading, there is something that can make you feel especially confident: a beautiful backtest curve.

A very high win rate, steadily growing returns, a tiny maximum drawdown, and profits in almost every market phase.

It looks as though the strategy has already figured out the market.

But here’s the problem: if a strategy is built by repeatedly adjusting historical data, it may have learned not the rules of the market, but chance patterns in the historical data.

This is the core risk of strategy

☀️ 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

11.9 $BTC Today’s outlook
After an overnight plunge and a wick down to 73333, an oversold rebound followed. The market is currently in a weak recovery phase. The larger-scale bearish trend remains intact, and further downside is expected after the rebound meets resistance. Focus on shorting rallies, with support-based short-term longs as a secondary strategy.
#BTCETF资金持续流出
Support: 74000-74200, 73300-73500
Resistance: 75200-75400, 75800-76000
Short: Enter in batches on a rebound into the 75200-75400 range, with a stop-loss at 76100 and a first target of 74200; if support breaks, look for 735

In BTC trading, how can you identify a genuine breakout and avoid being lured into longs by a fake one?
In BTC trading, breakouts often signal new trading opportunities, but they are also when traders are most likely to misread the market. When the price suddenly breaks above a previous resistance level, many traders worry about missing out on a rally and immediately chase the price higher. However, some breakouts are just brief price fluctuations, after which the price quickly retreats, leaving those who chased the rally at a disadvantage.
So how can you tell whether a breakout is worth takin

Backtest profits, live trading losses: How can you tell whether it’s an execution problem or the strategy has stopped working?

A strategy performs well on historical data. Why are the results completely different once real capital is put to work?

After suffering losses, many traders’ first reaction is to adjust parameters, add indicators, or even scrap the entire strategy.

But the problem could lie at different stages. Making changes blindly without identifying the cause may only make the strategy increasingly complex.

I. Step 1: Compare key backtest and live-trading metrics

First, put th

11.9 ETH: The rebound near 2150 is meeting resistance; consider a light short, targeting 2080/2050.
For those looking to go long, wait for support to hold near 2050 before entering. Stop at 2010; targets are 2120/2160.
On the 1H chart, price has plunged from the high of 2449, with a wick down to 2050. It briefly rebounded to around 2130, but the moving averages are fully aligned bearishly and diverging. The 2100 support level is being contested repeatedly, while 2160/2200 are resistance overhead. Bears still have the upper hand for now $ETH #ETH

Nov. 9, Monday Morning: Zhong Ling's Gold Outlook

The U.S. will release October CPI inflation data next Tuesday, the key event to watch next week. It will directly shape market expectations for the Fed's December rate hike and influence the overall direction of gold. The U.S. bond market will be closed on Wednesday, so pay close attention to Fed officials' remarks for signals on their policy stance. Initial jobless claims on Thursday, followed by PPI and the University of Michigan Consumer Sentiment data on Friday, will continue to drive market volatility. On the 4-hour chart, gold rebounded

$BTC
The downtrend continues, and another short trade scores a win
After the sharp overnight sell-off, the market entered a weak recovery. It rebounded to around 76210, met precise resistance, and pulled back. The short was entered with the trend and closed successfully for profit at 74662, delivering a 398.62% return with 200x leverage.
#70%山寨币跌破200日均线
The broader downtrend channel has now opened up, and every rebound is an opportunity to enter a short at a higher level.
Stay focused on shorting with the trend, avoid blindly buying the dip, and simply follow the trend to steadily lock in pr

ETH's plan for today | Consider shorting near 2145; geopolitical tensions are escalating, so look to short the rebound first!

ETH fell to a low near 2050 early this morning and has now rebounded to around 2140. The short-term trend remains relatively weak.

On the news front, Trump said the US has three aircraft carriers deployed in the region, with the third having just arrived. The US-Iran military standoff remains a key market focus.

Rising geopolitical risks could weigh on market risk appetite. Given ETH's high-volume decline early this morning and the rebound's limited strength so far,

Guys, here’s a question I asked my wife.

My wife said, “Sure, you can wash it and use it again.”

Do you think she loves me?

Why might an edge gradually disappear as more people adopt similar trading strategies?

A trading strategy is backtested and performs well.

More and more traders discover similar signals and begin entering at similar prices, and taking profits and stopping out at similar levels.

At first, the strategy remains effective.

But after some time, traders begin to notice that price action after entry has changed, slippage has increased, profit potential has narrowed, and previously stable performance has begun to fluctuate.

Why?

One easily overlooked fact is:

A trading strategy's edge comes not