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$Q Going all in, about to take off

11.9 SOL Trading Strategy
Market Analysis

The K-line chart shows SOL recently dropping sharply, with a low of **85.02** forming a long lower wick. This indicates a short-term sharp decline that released selling pressure. The current price is 87.97, with a slight recovery after the pullback. Support from the lower Bollinger Band is emerging, and the indicators below show signs of bullish divergence. Bearish momentum is weakening, creating an opportunity for a rebound.

Entry Zone

Preferably wait for a pullback to the 86.80–87.20 range and enter long in batches;
Aggressive approach: Open a

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🚀 Which sectors are gaining momentum?
👀 Which key signals are worth watching?

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The two people footing the bill for Trump’s $500 billion Stargate: Oracle’s Ellison and SoftBank’s Masayoshi Son
@grok If OpenAI collapses, will Masayoshi Son go bankrupt?

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

So what are we supposed to do 🫪 Why is it that when Jenson Huang cheats, we're the ones who get hurt?

$BTC had a sudden flash crash and briefly dropped to $73,510. This move has caught the attention of many traders.

I think the important thing now is to watch how Bitcoin reacts after this drop. If buyers step in and price starts recovering, it could have been a leverage flush. But if selling pressure continues, BTC may face another downside move.

For now, I would avoid rushing into trades and wait for a clear market direction.

What do you think? Was this just a temporary shakeout or the beginning of another drop?

#英伟达突发风波股价承压CEO #ShareWeekly #美国10月CPI

$VVV $XAU $CL $XAG

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

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Can't fall any further? That doesn't mean it can rise! Those who just reached for the long button—are you sweating now?

Yesterday, ETH's public call: enter short around 2,250. It peaked at 2,245, landing perfectly near our sniping zone, then showed its true colors and plunged in a guillotine drop to 2,050.32! A massive 195-point move, smashing straight through the target!

What did we say yesterday?
“Chopping back and forth by 20 or 30 points, many people think it can't fall any further and must be at the bottom. But the 1-hour Bollinger Bands are narrowing, and the 4-hour chart is pinned bel

11.9 BTC Public Trade Ideas
【Long Trade Idea】$BTC
　　Entry range: around 735-745
　　Stop-loss: 730
Zhi Ying's tiered take-profit levels
　　First target: 755
　　Second target: 765
Third target: around 775
Fourth target: above 780

Trading factors: On the 4H timeframe, the price has fallen below the lower Bollinger Band and has so far failed to break above the 7-day moving average. MACD is below the zero line, and the recovery pattern is weakening. The decline has slowed, with price consolidating near the bottom. Early today, it broke below the low on the higher timeframe an

The just-released domestic October PPI data surged to 5.7% year over year, up further from 5% last month
Many people might initially think this means industry is recovering and companies are about to make big profits, but it’s really not that simple
Factory-gate prices were pushed sharply higher this time, mainly not because people are buying more, but because upstream raw material and energy costs were driven up
So what exactly should we keep a close eye on next?
First, whether higher raw material costs can be passed on to ordinary consumers
Upstream raw material prices have risen too much, b

Targets fully hit! Bitcoin captured 2,800 points!

Brothers who were still buying the dip in the sideways market over the weekend—did this move wake you up?

Looking back at yesterday’s publicly shared trade idea: short near 76,300. The price rebounded to a high of 76168, then sold off through the early morning, hitting a low of 73333. The full 2,800-point move was captured!

I made it clear at the time: Bitcoin’s drop from 81188 to 74810 slowing down didn’t mean a reversal. The sideways action was just a correction; don’t mistake catching your breath for getting ready to take off.

The direct

🔥 What’s worth talking about today? Gate Square trending topics are live!

🔹 #USOctoberCPIComingSoon
Will inflation continue to cool, or shake up rate-cut expectations again?

🔹 #BTCFlashCrash
$BTC briefly fell to $73,510. Was this just a leverage flush, or the start of another leg lower?

🔹 #NvidiaSharesUnderPressureAmidCEOControversy
The CEO controversy and independent investigation are still developing. Will $NVDA face only short-term pressure, or will markets price in broader governance and regulatory risks?

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🚀11.9 Midday Market Outlook🚀

$ETH 思路：

If ETH breaks below 2166 on high volume, enter a right-side long; stop out if it reclaims the level.

If ETH breaks below 2125 on high volume, enter a right-side short and make sure to set a stop-loss.

If a retest of 2098 confirms that support is holding, add one lot to the long; stop out if ETH breaks below 2051.

If ETH holds above 2166 on the hourly timeframe, look for upside targets of 2245-2309.

Watch for a one-lot short at 2245; stop out if ETH breaks above 2309.

Left-side wick orders: long at 2035; stop out if ETH breaks below 2000.

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