Bitcoin’s biggest fear isn’t a plunge, but an overly strong PPI! Could November 13 be a key turning point for U.S. stocks?

If there’s one concern shared by the market, it’s when inflation will finally cool for good.
The U.S. October PPI is about to be released, and the data could become an important indicator to watch for the stock and crypto markets in the near term.
PPI reflects changes in the prices producers receive for their sales. If upstream prices continue to rise, they may gradually feed through to consumers. That would also make the Fed’s policy choices more complicated.
If the data

Why Can Actual Losses Exceed Expectations Even When a Stop-Loss Is Set?

Many traders believe that setting a stop-loss will keep losses within a predetermined range.

But in the cryptocurrency market, that is not always the case.

Sudden price drops, insufficient market liquidity, or order execution slippage can all cause the actual execution price to differ from what was expected.

A stop-loss is a risk management tool, not a guarantee of execution at a specific price.

I. Why Might a Stop-Loss Not Execute at the Expected Price?

1. Price gaps or rapid volatility

When the market drops quickl

A Japanese girl visited her boyfriend’s home for the first time. After a video call with her older sister, her sister urgently urged her to break up with him.
Does anyone in the Chinese community know why?

11.12 Thursday Midday Market Analysis
The downtrend has yet to reverse. ETH's most obvious issue is not whether it can stage a short-term rebound, but that rebounds have consistently failed to change the broader weak structure.
On the 4-hour chart, after peaking near 2449 and pulling back, ETH has continued to form lower highs and lower lows, with a low near 2003. Although the price has climbed back to 2055, it remains in a downtrend overall.
After previously rebounding to 2103.6, ETH faced selling pressure again on the 4-hour chart, indicating clear supply pressure around 2100. The rebound fa

The KGEN 1-hour chart is highly manipulated; a bullish engulfing candle can be overtaken by a bearish engulfing candle in the next candle.
#GateStockTalkSeason
$KGEN ‌

BTC Multi-Timeframe Analysis: How Can Different Timeframes Improve Trading Accuracy?

In BTC trading, many people are used to watching 15-minute or even 5-minute candlesticks for buying and selling opportunities, but they overlook an important point: short-term price fluctuations do not necessarily reflect the market’s true trend direction.

Why do some people correctly predict the short-term movement but still end up losing money? One important reason is that they fail to make a comprehensive assessment using different timeframes.

First, use higher timeframes to determine the trend. You can

$IDOL It's pumping again—is this move about to hit a new high? Market cap above 60 million, and 100 million tokens were just unlocked yesterday

🚀 Anthropic IPO is here! Gate's third direct-to-IPO offering is now open for indications of interest!

The AI sector has another major focal point!

This time, the spotlight is on Anthropic, the company behind Claude AI. Gate has launched its third direct-to-IPO offering, allowing users to participate in an indication of interest using USDT for a chance to receive actual shares.

📌 Key details for this offering:

🔹 Project name: Anthropic
🔹 Ticker: ANT
🔹 Reference valuation: $920 billion–$1.02 trillion (fully diluted valuation: $1.26–$1.4 trillion)
🔹 Reference subscription price: $70–$78

BTC Position Management: How to Allocate Funds Scientifically and Reduce Trading Risk?

In BTC trading, many people spend every day studying market direction and looking for the best entry and exit points, yet overlook an issue that may be more important than predicting direction: position management.

Why do some people correctly predict the market several times, yet ultimately fail to achieve the returns they hoped for? One reason is poor position sizing. A single oversized trade can wipe out profits from multiple previous trades.

First, determine the risk per trade based on your account ba

Why can a trading strategy work in a ranging market but fail in a trending market?

Have you ever encountered this situation?

A trading strategy performs well over the past few weeks. It sells when prices rise and buys when they pull back, earning profits through repeated trades.

But suddenly one day, the market begins to rise continuously, and the original strategy keeps selling, missing the subsequent move; or the market keeps falling, and the strategy repeatedly tries to catch the bottom, triggering stop-losses one after another.

The problem may not lie with the strategy itself, but coul

Old Huang, you really are going to pay it back. No wonder Musk said: Chinese people are badass. $NVDA

The League of Legends S16 final is coming up on November 15!
To celebrate BLG making it to the final, Longkui is cooking something up...🫣
Just opened a new event group
Come grab your spot early!

$ZEC The ad had just wrapped, and the next day Grayscale’s ETF saw $14.61 million pulled out—the turnaround was faster than you can flip a book.
First, the data: Grayscale ZCSH saw net outflows of about $14.61 million on November 11, while the day before (the 10th) it was zero. In other words, as soon as the promotional window closed, the money turned around and left.
How did the market move? This morning’s 7 a.m. hourly candle plunged straight from 976.8 to 950.77, with trading volume rising to about 122,000 coins; it rebounded to 997.96 at 8 a.m. but couldn’t hold, then touched 1006.98 at 1

Why can a strategy perform well in backtests yet continue to lose money in live trading?

A trading strategy may have a high backtest win rate, a steadily rising return curve, and a maximum drawdown that looks acceptable.

But after being put into the market, the results can be completely different: trading costs keep accumulating, actual execution prices deviate from expectations, several trades in a row lose money, and the once-impressive return curve gradually becomes less convincing.

Where exactly does the problem lie?

Backtesting evaluates a strategy's performance under specific histori

Is Nvidia’s Jensen Huang about to be ousted? An affair scandal + an investigation scandal = Nvidia’s market cap plunges $650 billion💵! Our short position hit take-profit perfectly! Now set BE and leave a runner! By the way, graphics card prices have also come down. Patient gamers won🤭 #NVDA $NVDA

Midday alert: short at 3979, successfully reached the target, opening up 10 points of room! $XAU #ZEC跌破1000美元 #黄金 ‌

330U Copy-Trading Experiment | Day 36

I intelligently mirrored a top trader’s trades!
Come take a look, everyone (^v^)
Starting funds: 330U; return: 187.43%; current funds: 548.52U. (400U withdrawn during this period)

Just a quick update today:

I’m currently holding two positions: ZEC short and ETH short.
Back near the entry price again, and I’m still holding on without closing... Could there be a bigger move coming?👀

Keep it up, everyone!
Believe in the power of belief!🦅