Tech bigwigs are coming out one after another to say:
Jensen Huang just made a mistake that men everywhere make; it shouldn’t be held against the company.
If Nvidia is done for, then we’re all done for 🤣🤣

#StockTalkSeason #ShareWeekly

Introduction: A New Opportunity for Financial Knowledge and Market Engagement
The global financial markets are evolving rapidly, creating new opportunities for investors, traders, and financial content creators to share knowledge and explore market developments. From technology stocks and artificial intelligence to macroeconomic indicators and corporate earnings, today's financial landscape offers countless topics for meaningful discussion.
In this environment, Gate Stock Talk Season represents an exciting opportunity to bring financial market conversations, inv

#USCPIDataIncoming 𝗧𝗵𝗲 𝗜𝗻𝗳𝗹𝗮𝘁𝗶𝗼𝗻 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲: 𝟲.𝟯% 𝗮𝘁 𝘁𝗵𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝗲𝗿 𝗚𝗮𝘁𝗲, 𝟯.𝟳% 𝗮𝘁 𝘁𝗵𝗲 𝗖𝗵𝗲𝗰𝗸𝗼𝘂𝘁, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗚𝗮𝗽 𝗧𝗵𝗮𝘁 𝗖𝗣𝗜 𝗗𝗮𝘆 𝗠𝘂𝘀𝘁 𝗘𝘅𝗽𝗹𝗮𝗶𝗻
CPI day is Tuesday, November 10 at 8:30 a.m. ET, and PPI follows on Friday, November 13. Most previews focus on the CPI number itself. A better question is how much of the cost pressure already built up at the producer level has yet to reach shoppers. In September, producer prices rose 6.3% from a year earlier while consumer prices rose 3.7%. That 2.6-point gap is the pipeline, and i

How to build a trade review system that turns every loss into a verifiable lesson?

Many traders watch candlestick charts every day and record their entry and exit prices, but rarely carefully record why they entered in the first place, why they exited, or whether a loss came from a flawed judgment, execution deviations, or trading costs.

If all you write down after every loss is “be careful next time,” then even after years of trading, you may just be repeating the same mistakes.

An effective review is not about explaining why you lost. It’s about identifying problems that can be verified w

ON | Long 🟢 | Bullish | 15-minute 24-hour: +18.13% | Volume: 52.7M USDT Long rationale: Price is above EMA200; EMA20/50/200 are in bullish alignment; RSI14 is 61.0; MACD histogram is positive; ADX14 is 23.4; volume is 1.72 times the 20-candle average; trend pullback/continuation. Entry: 0.194 Stop-loss: 0.182366 Take-profit 1: 0.208542 | Take-profit 2: 0.217267 | Take-profit 3: 0.228901 Entry is for reference only; do not chase the price. The trade setup is invalidated if the stop-loss level is hit. Technical analysis only; not financial advice. $ON

🪙 Black swan clouds have yet to clear; BTC is consolidating in a narrow range, looking for a breakout! Precise short-term strategy incoming
Against the backdrop of macro sentiment affected by heightened geopolitical tensions, coupled with market concerns over compliance and security incidents, global risk assets are highly volatile. After BTC saw a cascade of long liquidations in the early morning and wicked down to touch strong support at 73,420, it quickly staged an oversold rebound and is now in an extremely tight triangle consolidation phase within the 74,500 - 75,500 range.
Looking at th

November 9 $BTC Focus on shorting rebounds, entering and exiting quickly.

【Today's Strategy】
Short entry range: Set up on a rebound to 75000—75700
Stop-loss: Above 76300
Take-profit: Target 73800—73400

【Core Rationale】
The 1-hour chart has seen two rounds of high-volume declines, followed by sideways consolidation and another breakdown to a new low. The overall downtrend is clear, with bears fully in control. The 75000—75700 range is a former consolidation platform that has shifted from support to resistance, where trapped holders and profit-taking create concentrated selling pressure. A reb

$NEAR SHORT SETUP — SELLERS TAKING CONTROL AGAIN!

$NEAR is down 2.99%, and the recent recovery is facing rejection near resistance. Bears are defending higher levels, putting another downside move in focus!

Entry: 3.6016
SL: 3.6750

TP1: 3.5037
TP2: 3.4600
TP3: 3.4224
Final Target: 3.3800

$NEAR continues forming lower highs as sellers maintain pressure. The bounce from 3.4224 has struggled to break above resistance near 3.6256. If buyers fail to reclaim that level, selling pressure could push price back toward 3.5037 and potentially 3.4224.

Invalidation: A sustained recovery above 3.6750 w

Gold’s first win of the day—off to a great start!
Shorted at 4132, exited at 4124, 8 points, 1114🔪$XAUT

Subscribe to the livestream: Trade until your hands are sore

Gold short stopped out at 10 points, then reversed to long: gains of 45 points and up
$XAU ‌
ETH short-term trades are there for the taking
$ETH ‌
$XAUUSD ‌

Foreign media say Huang Le, the woman Lao Huang allegedly had an affair with, claims on her résumé to have been a reporter at Hunan TV and CCTV, worked in HSBC Private Banking, and served as a vice president at CITIC Securities. People at Hunan TV say they have never heard of her.🧐
The résumé is posted on Simuwang, where she is listed as a fund manager at Shanghai Hexi Investment, with 4 years in media and 8 years in securities.
The New York Post took the résumé and contacted the organizations one by one.
A Hunan TV manager said that if someone had really worked as a reporter there, their nam

Good news lands, but the price gets dumped? The big players are faking a breakdown to shake out traders—the golden buying opportunity for $ZEC bulls is right in front of us!

Good news being fully priced in doesn't mean it's the top; a low-volume pullback is the real opportunity.

Personal view: This is a classic case of “buy the expectation, sell the fact.” The NU7 upgrade cuts block times from 75 seconds to 25 seconds. After the news was priced in, the big players took the opportunity to dump the price and shake out weak hands.

But look at the whales’ cards: 117.6 million in long positions

#NvidiaCEOUnderInvestigation 🐦

What did the Nvidia CEO confess, and why did the market remain calm?

It has been confirmed that Nvidia’s founding CEO, Jensen Huang, admitted in a message to staff that he had engaged in an extramarital affair. The company has launched an investigation, overseen by a committee of independent directors and supported by external, independent legal counsel. It has been verified that the woman involved is a senior executive at a Singapore-based data center company—a firm that has purchased billions of dollars' worth of chips over the past two years. U.S. intellige

Jensen Huang apologized to his wife, children, and employees🙇‍♂️
When will he apologize to us shareholders😧🤬
My long position was gone when I woke up😭

November 9 · Monday · BTC/ETH Mi Shen Strategy

【Morning Wick Review】
Before the daily and weekly candles closed at 8 a.m. Beijing time this morning, BTC plunged about 2.8% in 15 minutes, hitting a low of 73,420 before quickly recovering above 75,300; ETH hit a low of 2,079.78, briefly falling even further than BTC. About $800 million in positions were liquidated market-wide over 4 hours, with longs accounting for more than 90%; ETH liquidations totaled about $360 million, exceeding BTC's roughly $230 million.

I look at this wick from four angles:

Position: Strategy's average cost (about 75,

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

Why do many trading strategies perform steadily in backtests, then suddenly fail when market conditions change?

A trading strategy may have been profitable for several months.

It may perform well in trending markets, with a beautiful backtest curve. But when the market enters a choppy phase or liquidity suddenly dries up, signals that once worked start failing frequently.

At this point, many people’s first thought is: Were the parameters poorly tuned?

But the problem may not be the parameters at all. It may be that the market conditions the strategy relies on to make money have changed.

I

Why Can a Strategy Perform Well in Backtests but Keep Losing in Live Trading?

A trading strategy can perform exceptionally well on historical data, with a high win rate, a beautiful equity curve, and a small maximum drawdown.

But once deployed in a real market, the results can be completely different: execution prices are less favorable, trading costs keep rising, returns gradually shrink, and losses may even persist.

So where does the problem lie?

Often, it’s not that backtesting has no value, but that we treat backtest results as a guarantee of live performance.

I. Backtests Test Histor