🤩 Still cropping screenshots to share your trading results? Gate Square's “Trade Sharing” feature is here!
Show off your positions and asset overview with just one tap!

✨ Show off your trading results in 4 easy steps:
1️⃣ Tap the “Trade Card” icon on the post creation page
2️⃣ Choose a sharing type (positions/asset changes)
3️⃣ Select the data you want to display
4️⃣ Generate and post your personalized trading results card in seconds

Want to know how good your trades are? Show them off! Share your savvy moves and exchange strategies with top traders across the crypto community!
Try it now �

What kind of moonvember is this??

$LINK
$ADA
$SOL #ShareWeekly #PolymarketAnnualizedRevenueTops1.8B #OpenAIQ3RevenueHits10B #USIranTalksShowNewProgress

😂 Jensen Huang has really been trolled by netizens this time!
Guys, I saw a so-called “White House announcement” today and almost laughed out loud.
Serious misconduct, probation while remaining in office, organizational disciplinary action...
Has even the White House started writing this kind of official notice in Chinese? 🤣
First, to be clear, this image is a joke, not a real White House announcement!
But what’s interesting is that something major really did happen behind it.
On November 8, NVIDIA’s board officially announced an independent investigation into allegations related to foreign

Why Does It Become Increasingly Difficult to Break Even After Consecutive Losses?

In the trading market, many people go through this process:

Their account loses 10%, and they think it’s no big deal—they just need to earn it back.

They lose 20%, start to panic, and want to increase their position size to break even faster.

They lose 30%, start trading frequently, and try to catch every rebound.

By the time their account has shrunk further, they realize they’re trapped in a cycle that’s becoming increasingly difficult to escape.

But the truly brutal part is this: losses and breaking even

Anthropic is a mirror reflecting the element of “choice” in OpenAI’s losses

Looking only at OpenAI’s losses, it’s easy to conclude that “model companies just burn money.” But Anthropic’s Q3 figures call that conclusion into question.

Anthropic’s Q3 revenue was nearly $17 billion, up 47% quarter over quarter and 70% higher than OpenAI’s; its operating loss was only $567 million, mainly due to short-term compute purchases and a one-time $2 billion employee charitable matching contribution. OpenAI lost $10.9 billion in the same period. The revenue gap was 70%, while the loss gap was nearly 20-f

Four sessions running, more money has left US spot $BTC funds than came in. On Nov 10, IBIT alone saw -$78.2M of the group's -$95.0M, and the last five sessions come to -$1.06B.

Why can a strategy with a high backtest win rate still lose money continuously in live trading?

Have you ever seen a trading strategy like this?

Its backtest win rate reaches 70%, and its equity curve keeps rising. Its parameters have been optimized repeatedly, and its historical performance looks quite impressive.

But once it goes live, the account starts slowly bleeding.

Some think market conditions have changed, others think the parameters still aren’t good enough, and some start looking for new indicators.

But before changing the strategy, there is a more important question:

Does you

Model Companies or the Value Chain? My Answer Lies in “Who Has Pricing Power”

The user is asking, “Would you rather focus on model companies like OpenAI, or value-chain companies like NVIDIA and Microsoft?” If you approach this question only from the perspective of “being bullish on AI,” the answer would be “buy both.” But capital and risk tolerance are limited, so you have to rank them.

First, consider valuation metrics. OpenAI’s implied price-to-sales ratio in its Q3 private funding round was about 35.5x, while Anthropic’s was about 20.5x. But these are run-rate figures in the private mark

$SPCXB Currently at 141.74, up 2.25% over 24H. The 1H trend is weak, with an RSI of 37; the 4H trend is strong, with an RSI of 65, indicating divergence between timeframes. Resistance is at 148.41, with 1H support at 140.1. A sustained hold above 148.41 could signal continuation, while a break below 140.1 would warrant caution for further weakness. Review whether price holds above 148.41 and whether it reclaims 140.1 after a breakdown. With divergence between the two timeframes, a short-term reversal is not yet confirmed. Market volatility is high; for observation only.

$AGT $AGT This rebound is just to lure more buyers in. I once again opened a short position worth 2 thousand at 0.5. Welcome to the short sellers' camp—join us in shorting 📉🐻🔥

Let me say something that might get me criticized: If someone is still consumed by lust and can't take their eyes off the opposite sex, they haven't even gotten started on the path to trading.
I’ve always believed that a man who’s truly focused on trading should be completely desensitized to this stuff. Lust may feel good on the surface, but it quietly drains your focus, clouds your judgment before you enter a trade, and can even throw off your mindset after you take a position.
You’re already trading $BT —can the emotional payoff you get from $BTC really not beat those low-level thrills? If

Tokenized stocks on Injective set a monthly trading record for the fourth straight month in October.
Its real-world asset perps traded ~$1.8B in the year to November 6, with October the busiest month.
@injective

$CRWV is up nearly 15% in premarket.
Q3 revenue hit $3.66B (+168%), and they raised full-year guidance. Strong backlog and prepayments eased the debt worries.
Small breath for AI infrastructure, memory, and chips. Demand is still there.
$MU +7%
$SNDK +8%
$STX +9%
AND SO ON...

Why Aren’t Higher-Win-Rate Trading Strategies Necessarily More Profitable Than Lower-Win-Rate Ones?

Many traders have an intuition: the higher the win rate, the stronger the trading skills, and the more money they should make.

But in real trading, this assumption is often wrong.

Some strategies win seven out of ten trades, yet the account keeps shrinking; others win only three or four out of ten trades, but may perform better over the long term.

Why?

Because long-term trading performance depends not only on the win rate, but also on average profit, average loss, trading costs, and the dis

After the gossip scandal, Jensen Huang made an airport appearance,
and his whole vibe was completely different—like he’d entered his rebellious phase!

He was wearing a Saint Laurent studded leather jacket, totally different from the classic leather jackets his wife used to pick out for him. Netizens joked that he’d entered his rebellious phase and was finally letting loose.

In the past, his wife always picked out his leather jackets, and his style hadn’t changed in decades. This time, he switched to a studded jacket full of personality—the contrast couldn’t be more striking.

You have to adm

ZEC’s move is a classic case of “buy the rumor, sell the news.”

Grayscale announced a $1 million Zcash ecosystem sponsorship on November 10, with the ZCSH ETF’s first-year management fees going back to the network and four nonprofit organizations each receiving $100k. On the day the news landed, ZEC instead fell 11.3% to 1043, down 20% over 30 days, and most recently at 989.

The privacy coin leader that overseas KOLs had been hyping nonstop over the past two months saw its price move like this when major institutions came in with real money.

The latest activity announcement for this coin is

. $ANSEM is the creator coin, $MIHAO is the pure meme
MIHAO went from sub-$1M to nearly $25M
the cat distribution system is working overtime seriously