Looks like everyone still underestimated Old Huang’s hobby.
Jensen Huang did a great job....

Today's early-morning BTC outlook

Trade:
Short around 755–760
First target: 750–745
Second target: 740–735
Set a stop-loss

After BTC's sharp drop, it is showing a weak recovery, but the broader structure remains bearish. The momentum indicator's golden cross shows that short-term bulls are still struggling, so blindly chasing shorts now could easily get you shaken out. The strategy is to patiently wait for a rebound to the resistance zone above, then try a small short position after a clear failure to rise and a bearish candle close, targeting the middle band and the previous low. Keep a fir

Aoying’s latest move: went long 284 Hynix tokens at $840 each, with a total position value of 200k U. $SKHYNIX

#NvidiaCEOUnderInvestigation
Allegations against $NVDA Nvidia CEO are not merely a legal headline; they represent the ultimate stress test for an AI valuation built on singular leadership and unbroken execution.

Reports that Jensen Huang is under investigation introduce a variable that financial models cannot easily quantify: key person risk. For eighteen months, Nvidia has traded not just as a semiconductor manufacturer, but as the physical embodiment of the AI revolution, with its premium valuation inextricably linked to Huang’s visionary credibility and strategic foresight. When the archi

How Can Out-of-Sample Testing and Walk-Forward Backtesting Determine Whether a Trading Strategy Is Truly Reliable?

Suppose you’ve spent months researching a trading strategy, constantly adjusting its parameters, and eventually produced a beautiful historical returns curve.

You might think you’ve found an effective approach.

But there’s a problem: if you repeatedly use the same historical data to adjust your strategy, does that returns curve prove the strategy works, or merely show that you found the parameters best suited to that period of history?

That’s the problem overfitting is meant t

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

Why does a strategy that performs well on historical data produce completely different results once real money is put to work?

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

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

I. Step One: Compare Key Backtest and Live Trading Metrics

Fi

$JCT $JCT is seeing strong selling pressure 📉Open a short (sell) position. Target: 0.0070

The Scumbag's Live Trade: UNITREE (Unitree Robotics)

The Scumbag shorted Unitree once when it went public and made a decent profit. Today, seeing its market cap climb above RMB 300 billion again, the Scumbag took another small short position.

The next level to add to the position is 119

If it drops below 100, the Scumbag will take profits first

#GateGuardNowAvailableForFree
Gate Guard Is Now Free: A New Opportunity to Strengthen Crypto Account Protection

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This development deserves attention because cryptocurrency security is not only about preventing someone

$FLUID The short signal has been confirmed, and current price action is clearly weak. I’m choosing to open a short position here.
Entry reference: around 2.038. Follow-up exit plan: wait for the price to fall to the $0.906 area before considering buying to close.
$FLUID The decline is currently about -7.78%, and bearish momentum is still unfolding. Go with the trend and short the $FLUID contract.
Risk warning: The above is only a sharing of my personal trading ideas and does not constitute investment advice. Contract trading carries extremely high risk, so be sure to manage your position an

$NVDA Jensen Huang publicly admits to cheating—will Nvidia fall again amid such a huge scandal?🤔

Why might a trading strategy's returns come from only a handful of trades?

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

But if removing its most profitable trades turns the entire strategy from profitable to unprofitable, 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 profitable.

But a closer breakdown reveals:

* The

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

Tong Ge's 11.9 BTC outlook
Enter short around $BTC 755-760, stop-loss at 765, targets: 745-740-735-730.

The new week has just begun, and at 5 a.m. the bulls were dealt a heavy blow. Bitcoin plunged straight from around 757 to 73333, then rebounded after becoming oversold to the current price near 752. More than 2,000 points vanished in an instant, as pent-up weekend sentiment spilled out all at once.

Remember Tong Ge's words: rebounds after sharp drops are often fast, but a fast bounce doesn't mean the trend has reversed.
On the larger time frame, the daily chart remains firmly below the mid

What does it mean to buy a house for the price of one breakfast? Is there some kind of catch here?😂

🔥 Get a first look at this week's market opportunities!
Gate Live hosts daily live trading sessions, sharing trading insights and helping you track market movements in real time!

📈 How can you gauge the market direction?
🚀 Which sectors are gaining momentum?
👀 Which key signals are worth watching?

Tune in to Gate Live and find the answers in the livestream 👉 https://www.gate.com/live

Spot gold’s current strong resistance remains at 4140-50, with 4160 as the stop-loss reference. It’s Friday’s price again, so be sure not to get greedy when trading gold. Countertrend trades in particular should be quick in and out. Gold can easily lose momentum, and once it does, it can easily move in one direction