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everytime i look at the $near chart
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$ARIA $ARIA The 4-hour chart is starting to waterfall! All I can say is: blindly short! There’s still time to get in! Target: 0.2! Welcome aboard!
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ARIA+22.03%
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initia:native is currently at 0.15716, down 50.3% over 24H. The 1H outlook is weak, with RSI at 39 and EMA20 at 0.218; the 4H outlook is weak, with RSI at 53 and EMA20 at 0.195. Both timeframes are trending downward, and the 1H EMA20 being above the 4H EMA20 indicates greater short-term pressure. If it holds above the 0.395 resistance level, a rebound may be worth watching; if it breaks below the 0.15681 support level, weakness may continue. Volume is only 0.13x the average, so any breakout still needs confirmation from trading volume. In the next review, check whether it holds above 0.395 and
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INIT-2.53%
Tencent’s Office of the President has directly stepped in to drive this round of layoffs, which are quite substantial. The whole move seems pretty aggressive.
Both strategies are bearish and raking in profits—how is nobody watching such perfect strategies? 🥺
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Why do many trading strategies perform consistently 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 range-bound phase, or liquidity suddenly drops, signals that once worked may start failing frequently.

At that point, many people’s first reaction is: Were the parameters not tuned properly?

But the problem may have nothing to do with the parameters. Instead, the market conditions the strategy depends on to make
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Why can a more perfect backtest sometimes warrant more caution?

In cryptocurrency trading, there is something particularly good at inspiring confidence: a beautiful backtest curve.

A high win rate, steadily growing returns, a very small maximum drawdown, and profits in almost every market phase.

It seems this strategy has already found the market’s patterns.

But the problem is: if a strategy is developed by repeatedly adjusting historical data, it may have learned not market patterns, but accidental features in the historical data.

This is the core risk of strategy overfitting.

I. Why is
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You must urgently take precautions across the internet! The latest on-chain phishing scam is spreading on a massive scale!

Many people's wallets have mysteriously been drained to zero, and their assets transferred away instantly,

This isn't market losses at all—it's because they were tricked into granting authorization!

Latest official warning from SlowMist Security:

Fake airdrop websites closely imitating well-known public blockchains are currently spreading rapidly across major social media platforms!

The scammers' scheme is extremely convincing:

1. The page is a 1:1 replica of the off
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BTC-0.67%
ETH-1.26%
GT-2.41%
#SP500PostsBiggestGainIn7Months
US Stock Market Rebound: Is Wall Street Preparing for Another AI Rally or Facing a Deeper Technology Sector Correction?

The US stock market is sending investors mixed signals. After experiencing significant selling pressure across technology and semiconductor shares, Wall Street staged a powerful recovery on November 9, bringing AI-related investments back into focus. However, the optimism faced another test when hotter-than-expected US inflation data triggered renewed selling on November 10.

This sudden shift highlights an important reality: investors still
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#Gate股票现货全球前三 My Tech Stock Watchlist After the Pullback

Gate’s spot stock trading has made it into RootData’s global top three (score: 70.1, 24-hour trading volume: $65.88 million, share: 4.77%), so the selection of assets is certainly broad enough. But the rankings are just a ticket in; what follows is what I’m really watching.

I. My Market View First

The first round of valuation cuts is over, but earnings cuts have yet to come.

The Nasdaq 100 closed at 27,740, with its forward P/E back to 18x, the same as in November 2022 before ChatGPT launched; its trailing P/E is 26.4x, at the 1.35th
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ThisIsTranslateContent:
#Gate股票现货全球前三 After the pullback, my tech stock watchlist
Gate’s stock spot offering made the global top three on RootData (score: 70.1, 24-hour trading volume: $65.88 million, share: 4.77%), so the range of assets is definitely broad enough. But the ranking is just a ticket in; what follows is what I’m really watching.
I. First, my market view
The first valuation reset is over; the earnings reset hasn’t happened yet.
The Nasdaq 100 closed at 27,740, and its forward PE returned to 18x, the same level as before ChatGPT launched in November 2022; its PE-TTM is 26.4x, at the 1.35th percentile of the past year. But S&P earnings growth in Q3 was 33% to 35%, likely the peak of this cycle, while the 2027 consensus has already fallen to 18%, and hyperscalers’ capex growth is set to drop from 96% to 44%. Valuations have already adjusted; earnings are only just beginning to.
Second, the headwind is interest rates, not the AI narrative.
The 10-year yield broke 5%, the 2-year yield is at 4.71%, the dollar index is strengthening, and an interest rate hike of 25 basis points in December is priced in at 88.5%. In this environment, every rebound in long-duration assets lacks one prerequisite: “the denominator stops getting more expensive.” The AI story hasn’t gone bad; the discount rate has.
Third, a reversal requires two signals to appear at the same time.
One is Nvidia’s guidance on November 17; the other is the Fed’s wording on December 9. If either one turns positive, the rebound can qualify as a reversal; if neither does, it’s still a “relief rally after bad news is priced in,” followed by more grinding lower.
II. In volatile periods, I choose depth over breadth
Breadth answers “can I buy it?”; depth answers “am I paying too much, and can I sell it?” During sharp swings in tech stocks, what you really pay is slippage: with thin order books, spreads can eat up 1% to 2%, and a round trip costs as much as one stop-loss.
So in the list below, I’ve deliberately included only names with “depth”—not a single obscure stock.
III. Watchlist (five groups, each with a trigger)
Group 1: Event-driven, watch only
Nvidia, $168.89, PE 21x, forward PE around 14x. Earnings after the close on November 17, with market expectations of around $109 billion in revenue and EPS of 2.47; closed-door questioning by three House committees on November 18; GTC from November 30 to December 3. The risk it faces is governance, not demand. The trigger is price: below $145 is the first tranche, while $120 to $130 is the extreme “CEO gets fired” scenario. I won’t buy a single share before the events play out.
AMD, $515.21, PE 110x. Q3 revenue was $13.4 billion, up 45% year over year; data center revenue was $8.5 billion, up 97% year over year; and Q4 guidance was $17 billion—the results are genuinely strong. But a 110x multiple already fully prices in 2027, and the stock rose 11% and 13% on November 6 and 9, respectively, making it a classic sentiment-driven stock. Trade it only for swings, and take profits quickly.
Group 2: Certainty, add on pullbacks
TSMC, $396.48, PE 25.7x. The most diversified customer base among “AI tax collectors,” without the burden of relying on a single customer or CEO. This is the best value-for-money stock on my list; I’ll add in the $370 to $380 range.
Broadcom, $331.98, PE 41x. ASICs plus networking, with long order visibility, but the valuation isn’t cheap; suitable only for dollar-cost averaging, not chasing.
Group 3: Valuation discount, my top pick
Google, $287.38, PE 15x. The only one of the Magnificent Seven back at its 2022 valuation. Q3 revenue rose 25% year over year, while net income fell 25% year over year—the profits have been eaten up by depreciation, but that also means its profit upside will be the greatest once it’s done absorbing 2027 capex.
Microsoft, $533.16, PE 27.8x. It lowered 2026 capex from $175 billion to $170 billion. In a market where “whoever spends the most gets punished,” restraint itself is good news.
Group 4: Defensive, to reduce volatility
Apple, $348.51, PE 38x. No capex exposure and the cleanest cash flow make it the cleanest safe haven this cycle, but at 38x it can only defend, not attack.
An even harder asset class is power and gas turbines—the end point of computing power is electricity, data center power consumption is one of the most rigid components of capex, and it isn’t exposed to the valuation reset in AI chips.
Group 5: Watch only
Meta, $641.39, PE 21.8x. Q3 free cash flow turned negative at $2.12 billion, and it still plans to issue $35 billion in equity financing. It’s the best stress-test case for the “AI capital cycle”—I’ll consider it once it proves it can turn capex into free cash flow.
IV. How I’ll execute
I won’t buy everything at once. The order is: start with Google and Microsoft, then wait for the November 17–18 events to play out before adding Nvidia; add TSMC on a pullback, and trade AMD only for swings.
No single position will exceed 15% of my total portfolio; during the event period from November 17 to December 9, total exposure will stay below 50%.
Stop-losses are based on earnings expectations, not price. Once 2027 earnings expectations start to be systematically revised downward, I won’t touch the stock, no matter how cheap the valuation gets.
This list isn’t about “what to buy”; it’s about “when to buy, how much to buy, and when not to buy.” In volatile periods, half the gains come from choosing the right stocks, and half from not going all-in at the wrong time.
Which ones are on your list? Let’s talk in the comments.
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NVDA+2.38%
AMD+4.44%
TSM+3.28%
AVGO+5.57%
MSFT-2.06%
Why Can You Still Lose Money Even When You Get the Direction Right?

You predict that Bitcoin will rise, and after you buy, the price does go up.

But you still lose money.

Why?

Because getting the direction right is only part of a successful trade. Your entry point, stop-loss distance, position size, trading costs, and risk-reward ratio can all determine the final outcome.

Getting the market direction right doesn’t mean the trade will necessarily make money.

I. Why Can You Lose Money Even When You Get the Direction Right?

Suppose you predict that BTC will rise.

You buy at $100,000, and
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BTC-0.67%
#Breaking:
Democrats may try to remove President Trump, Vice President JD Vance, Marco Rubio Pete Hegseth from their jobs as early as January 2027.
First the House would have to vote to impeach them
Then, to actually remove them two-thirds of the Senate would have to vote yes.
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Gold plunges $108 in a single day, but holds $4,000 — real yields and safe-haven demand are battling it out

Spot gold closed Tuesday down $108.10, or 2.61%, at $4,032.57, after briefly dipping below $4,015 intraday, with the daily loss nearing 3%. The immediate cause is clear: core CPI came in hotter than expected → rate-hike expectations rose → the dollar and 2-year Treasury yields strengthened in tandem → non-yielding gold took a double hit.

But one detail is more noteworthy than the drop itself: the $4,000 round-number level held after being tested intraday. Gold retreated from Monday’s h
XAU+0.38%
[NEW STREAMER]market update
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LIVE6,178
It’s not sharp rises or falls that are scary, but a slow grind down or up followed by a surge in volume
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Market update
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LIVE6,092
If reports that Shing-Tung Yau has resigned from Tsinghua University are true, perhaps there is no longer any need to hold on to expectations for traditional Chinese education.

The news is still circulating as a question, and whether it is true remains to be confirmed.
$BTC

Saylor’s Bitcoin hoarding has gotten him into trouble

Strategy could be kicked out of MSCI indexes

Up to $2.8 billion in selling pressure

Holy shit

Guys

We were just saying Saylor was awesome

He bought more BTC

And now he’s about to face a problem even more troubling than a BTC price drop

Traditional financial markets might not want to play with him anymore

Global index provider MSCI has finalized new rules for index inclusion

They mainly target companies whose assets consist primarily of investment holdings and lack sufficient operating businesses to support them

Because Str
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BTC-0.65%
Why do people keep falling for these common crypto scams?

Scams in the crypto asset space don’t always succeed because the technology is too complex.

Sometimes, an official-looking website, a friendly direct message from customer support, or even a seemingly free airdrop can become an entry point for risk.

What’s truly concerning is that many scams don’t directly attack the technology—they exploit people’s trust, greed, fear, and sense of urgency.

1️⃣ Phishing websites: You think you’re connecting your wallet, but you may actually be authorizing a risky action

Fake websites can copy the v
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