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Article
The Annual Traffic King Is About to Be Crowned! Gate Streamer and Creator Awards: Who’s the Real Pro?

The crypto world has no shortage of experts—it needs more people with both talent and an audience! Some study the market every day and deliver sharp analysis; some keep their livestreams lively with witty commentary, turning every market move into a joke; others attract countless fans with quality content and become community favorites.
The Gate Social Annual Streamer and Creator Awards are here!
This time, the spotlight isn’t just for trading pros—it’s also for those who create diligently, s
MU+4.71%
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One person is 🤡; two people are pure love.
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Trenches
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BTC
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bade
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C5xp...pump
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GM Everyone
Big things happen when you take small steps daily.
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[NEW STREAMER]hot prediction market update💕
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LIVE1,636
I really love places in Taiwan
Perhaps they can also hold traces of the past
The first thing I thought when I saw it
When I was in 10th grade, the words “Changhua Grand Theater” were still black on a white background
Back when I boarded at Changhua Senior High, I saw this banner every time I commuted
Seeing it this time made me a little sad—the words are gone
But this time I took a closer look at it
Curious about what those five little windows were for
I started letting my imagination run wild, wondering about the movie ads back then
Could they have been hand-painted? Or taken a lot of time to
A high win rate does not mean high profitability. What truly determines trading results is the ratio between each profit and loss.

Many trading strategies look excellent: an 80% win rate, multiple consecutive wins, and a very impressive backtest curve.

But if each win earns only $10 while a single loss costs $50, a problem emerges.

Assume 100 trades:
• 80 wins, earning $10 each, for a total gain of $800.
• 20 losses, losing $50 each, for a total loss of $1,000.

Final result: a loss of $200, before fees, funding rates, and slippage.

This shows that the win rate is only one part of a tradin
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OpenAI CFO: Data center investment Will not change due to the midterm Elections.
live-cover
LIVE2,164
【No market action this weekend? Head into nature to “cash out” and unwind】 🌿☀️
The weekend market is moving sideways like a straight line, volatility has gone flat, and even the candlesticks can’t be bothered to move. Since the market isn’t offering any opportunities, go ahead and close your trading app. Head out for a stroll in the park and some fresh air.
Looking at people camping and picnicking on the grass, the shadows of trees by the lake, and the blue sky and white clouds, it suddenly hits you: trading isn’t all there is to life. Knowing when to step away and enjoy life is the real “hig
$SPCX ‌
SPCX is trading at 134.19, up +8.75% on the session after a sharp recovery from the 120.40 low. Price has reclaimed the MA5 (129.89) and is testing the MA10 (134.29). Broader structure remains bearish with price still below the MA30/60/120/200 cluster (142–149 zone). After-hours is holding the bounce at 135.64.

Resistance: 135.30–136.50 (session high + after-hours), 142–144 (MA30 + MA200), 147–150 (MA120/MA60)
Support: 129.80–130.50 (MA5 + recent base), 128.50, 123.40 (prev close), 120.40 (swing low)

Strong impulsive red candle into 120.40 showed panic selling / stop-run.
Immediate
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SPCX+8.74%
#美股史诗级抛售 #Gate股票畅聊季 #每周来晒 The “Deleveraging” Moment in U.S. AI Stocks: A 1998 Replay Without Fed Rate Cuts to the Rescue!

This article analyzes the plunge in U.S. AI stocks and the wave of programmatic selling: at the market-structure level, leveraged ETFs and dealers’ negative Gamma triggered a mechanical selloff; at the valuation level, uncertainty over capex and returns created a rift; and at the macro level, the Fed was absent as a backstop through rate cuts. It examines whether the AI trade is replaying the 1998 LTCM crisis or heading toward a 2000-style bubble.

As buyers of AI computin
BUBBLE-2.35%
NDAQ+0.28%
SPX500+0.19%
NVDA+2.80%
CSCO-2.05%
  • 3
In trader jargon, it’s called a V-reversal—in plain terms, it fills the hole right back in.
From 50.49 to 57.44, up 13.8% in two days—the hole is filled.
57.44　The high was hit at 03:00; it hasn’t been touched again in the eleven hours since.
56.25　Current price, 2.1% below the high.
2,022,283　Volume on the 22:00 candle, 5.2 times the average; it was the only candle with any volume all day.
3,612　Volume at 14:00, 0.9% of average; the weekend order book has only this much left.
-0.0054%　Funding rate; shorts are paying, but the pool is thin, so they’re not paying much.
56.33　MA20; price is stuck
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INTC+0.05%
  • 1
Goldman Sachs Bets $125 Billion, but AI Investors Are Starting to Sweat: Is Computing Power or Borrowing to Build Data Centers More Profitable?

There’s an interesting phenomenon in the AI industry: everyone is talking about how smart artificial intelligence is, but few are seriously calculating how much it costs to train this intelligent system.
Recently, tech stocks have plunged, and investors have begun reassessing the AI industry’s high-investment model. Goldman Sachs, however, has not changed its optimistic stance. Instead, it has raised its forecast for U.S. data center construction spen
AMD+11.55%
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The nonfarm payrolls report is coming out this week. The longer you stare at the charts, the easier it is to start seeing what you want to see: whichever side your position is on, your eyes automatically filter out the signals pointing the other way. So I’ll treat Friday’s split price action as a signal at most, not a conclusion. The divergence across indexes, sectors, and relative strength shows that the market hasn’t reached a consensus yet—but we still need confirmation. I’m not going to guess what that confirmation will be in advance. I’ll wait for the data to speak for itself.

If the job
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  • 1
Setting a stop-loss does not mean you will definitely exit at the expected price.

Many traders believe that once they set a stop-loss in advance, their maximum loss is fixed. But in real markets, the stop-loss trigger price may differ from the final execution price.

Why is that?

I. Market volatility: Prices can quickly move past your stop-loss level

When the market suddenly becomes highly volatile, prices may move past your stop-loss trigger price in a very short time. If the next available execution price is already worse, your actual loss may exceed your original plan.

II. Insufficient
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Is it really possible to forgive someone for cheating while drunk?
11.7 ETH Market Analysis

　　ETH is currently in a choppy pullback after meeting resistance on its rebound. The price bounced from the low and climbed to around 2253, where it touched the upper Bollinger Band before retreating under pressure. It is now near 2244. The Bollinger Bands are narrowing and flattening overall, while the MACD red bars above the zero line continue to shrink, indicating stronger short-term downside correction pressure. Key support levels are the middle Bollinger Band near 2240, the 2228-2230 zone where the lower Bollinger Band converges with the previous consolidation pl
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ETH-1.23%
Why might a trading strategy that performed well on historical data gradually stop working in real markets?

A beautiful backtest curve does not mean a strategy has a stable edge in live trading.

The problem is often not that backtesting has no value, but that we may overestimate what historical data can prove.

There are four key reasons worth paying attention to.

1. Overfitting: The strategy has memorized history without truly understanding the market.

Repeatedly adjusting parameters until the historical return curve looks beautiful can easily lead the strategy to fit past noise rather th
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$XRP was trading at $1.1817 by 02:31 (07:31 GMT) on Friday, down 10.02% on the day. It was the largest one-day percentage loss since February 5.

The move downwards pushed XRP’s market cap down to $75.3059B, or 2.97% of the total cryptocurrency market cap. At its highest, XRP’s market cap was $210.6006B.

XRP had traded in a range of $1.1817 to $1.2226 in the previous twenty-four hours.
Reuters
XRP-1.15%
I chose to buy the dip in US stocks and increase my position
This sharp plunge happened because Trump lost control of both chambers of Congress. This has happened several times historically. I reviewed data from the past 20 midterm elections, and 4 of them saw a situation similar to Trump's current one: 1946, 1954, 1994, and 2006
The chart below shows the S&P 500's gains after past midterm elections. On average, the market rose after most elections. The current market is roughly at the bottom, and Bitou has switched to buy-the-dip mode
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How much capital should be allocated to a single trade? Why do some traders get the direction right, yet their accounts keep losing money?

Many people study entry signals, technical indicators, and market forecasts, but overlook a more fundamental question: How much risk should each trade take on?

Even when the trade direction is correctly anticipated, the outcome may still be unfavorable if the position is too large, the stop-loss distance is unreasonable, or trading costs are underestimated.

Today, we compare three common position-sizing methods.

I. Fixed position sizing: Allocate the sa
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