So Strategy and Metaplanet have officially been kicked out of the game by MSCI!
MSCI confirmed it will remove Strategy and Metaplanet from relevant indices, effective after market close on November 30.
The reason is that MSCI views companies with 50% or more of their assets in Bitcoin as investment funds rather than operating businesses.
Immediately after the announcement, $MSTR fell about 3%.
Notably, JPMorgan had warned that outflows from $MSTR could reach $8.8 billion if other index providers follow MSCI.
For Strategy, this is clearly a major blow. Its large Bitcoin holdings were once an

Where Is Money Flowing as Global Capital Reprices Risk Assets?

Recently, a phenomenon worth watching has emerged in global financial markets: capital is shifting among stocks, cryptocurrencies, gold, and bonds.

Many investors see Bitcoin falling and U.S. tech stocks correcting and conclude that global capital is fleeing the markets across the board. But the reality may be more complex: capital has not simply disappeared; it is reassessing risk, returns, and liquidity.

According to recent public data, in the week ended November 4, global equity funds saw net inflows of about $38.63 billion,

🫏11.12 Midday Market Outlook.🫏
$BTC View:
BTC’s price action is truly awful—there’s no staying power to even the slightest rise. BTC rebounded above 74000 but was held back by resistance at 74800 and couldn’t extend the rebound. It has now pulled back. Everyone, look at the red arrow above: how many times has 74800 been tested already? I’ve lost count. BTC can’t extend its rebound without breaking through 74800, and there’s no BTC-specific positive news from elsewhere either, so BTC looks helpless, isolated, and indecisive. After failing to break through a resistance level multiple times, BT

Why does trading more frequently make it easier to underestimate the impact of costs on long-term returns?

When reviewing their performance, many traders focus only on buy prices, sell prices, and profit or loss, while overlooking a factor that continuously affects account performance: trading costs.

The cost of a single trade may seem small, but as the number of trades keeps increasing, these costs can gradually erode an already limited profit margin.

I. Small per-trade costs do not mean a small long-term impact

Suppose a trader completes one buy-and-sell trade each time, with fees and sl

AI’s Golden Age or the Eve of a Bubble Burst? Microsoft Reshapes Its $80 Billion Computing Power Plans, Sending Three Major Signals!

Microsoft’s adjustment to its AI computing partnerships has sent the market three signals worth watching.
First, computing hardware is becoming outdated faster and faster. Even if older-generation GPUs still have market demand, they may not meet the ever-rising technical requirements of large customers.
Second, AI infrastructure development cannot be judged by investment size alone. Project delays, rising costs, and network support issues could all affect future

Bro, that's kind of ridiculous. I make 1U, you make 10U, and your capital is more than three times mine...

Once a husband hands over his money, it’s no longer his own...

$XAUT ‌#USOctoberPPIComingSoon

Looking at the 1H chart, the overall structure remains bearish as price trades below the WMA20 and the midline of the Bollinger Bands, but on the 30M and 5M charts, we are seeing a potential market structure shift from bearish to consolidation as the selling momentum stalls near the 3,968–3,974 support zone, forming a potential base for a reversal.

🟢In a Gartley Point of View:

While a textbook Gartley is not perfectly clear, if we map the recent price swings on the 5M and 30M charts, the recent drop to 3,968.71 acts as a potential Point D (the completion of

Guai Guai Du: Jensen Huang embroiled in an extramarital affair scandal twice in four days—is his position as Nvidia CEO also in jeopardy?
From his public apology on November 8 and Nvidia’s board launching an independent investigation, to The New York Times’ report on November 11 that he had an affair with a direct subordinate at the company, Huang’s personal scandal is spilling over into corporate governance.
More notably, media reports say Nvidia’s board is discussing whether he should remain CEO, and the news has also rattled the market.
Once a leading figure in the AI industry, Huang is now

Why Are Stops Set Too Close More Likely to Get Hit Repeatedly?

Have you ever experienced this?

After you buy, a slight price drop triggers your stop-loss. You exit, and the price starts rising again.

The first time, you think it was bad luck.

The second time, you start doubting your judgment.

The third time, you may find yourself wondering: Is the market specifically targeting my stop-loss?

In fact, the issue often isn’t whether the market is targeting a particular trader, but that the stop-loss level conflicts with normal market volatility.

I. Why Are Stops Set Too Close More Likely to

Baidu Founder Robin Li Predicts the Next Phase of AI: Intelligent Organizations

Baidu Founder Robin Li predicts that the next phase of AI is "intelligent organizations." The stock (BIDU) is essentially flat, up a marginal 0.07%.

Robin Li is one of China's most prominent tech visionaries, and his predictions often influence market narratives. His concept of "intelligent organizations" moves the AI conversation beyond simple chatbots or individual productivity tools. It implies a future where AI is deeply embedded into the corporate structure itself—handling complex workflows, making autonomou

Why do more detailed trading records make it easier to spot problems in a strategy?

Many traders have a habit of reviewing their trades, but an effective review is not simply a record of how much money they made or lost that day.

If a trading record only includes the entry price, exit price, and final profit or loss, you may know that you lost money, but it will be hard to know why.

The value of trading records lies not in preserving the past, but in helping you identify recurring problems.

I. Why is recording only profit and loss far from enough?

Suppose two trades both lost $100.

For t

The AI arms race among tech giants is escalating! After pouring in 100 billion, is it finally time to make money?

Tech giants’ investments in AI are no longer small-scale efforts, but a long-term race spanning chips, data centers, cloud computing, and software ecosystems.
Building data centers takes money, buying chips takes money, and training models takes money too. So the question is: with so much invested, when will they recoup the costs?
That is exactly what the market cares most about as AI commercialization enters the payoff phase.
Tech companies are trying to turn their technological

Could a cooler U.S. PPI help BTC stage a comeback? Have U.S. stock bulls finally got a chance to turn things around?

The market lately has felt like a never-ending drama: inflation refuses to leave the stage, investors can’t sleep easy, and traders spend every day guessing what the Fed will do next.
On November 13, the U.S. October PPI is due. If producer inflation cools significantly this time, the market may finally get the sentiment reset it has been waiting for.
Why? Because a lower PPI could mean less cost pressure on businesses, which could also ease pressure on consumer prices in the f

Why Can a Trading Strategy with a Very High Win Rate Still Lose Money Over the Long Term?

A trading strategy with an 80% win rate sounds pretty impressive, doesn’t it?

But suppose you make 100 trades, win 80 times and earn $10 each time, and lose 20 times and lose $50 each time.

What’s the final result?

Profit: 80 × $10 = $800

Loss: 20 × $50 = $1,000

A final loss of $200, not including fees and slippage.

That’s why you can’t judge a trading strategy by its win rate alone.

I. Why Can a High Win Rate Still Lose Money?

What really determines long-term returns is the relationship between

Bro, if you tend to get carried away when opening positions, go out for a walk and cool off.
[Position details]:
$ETH The market stayed range-bound during the day yesterday. It tested the 2040 level several times without breaking below it, suggesting short-term support had formed below. Volume within the range had also dried up noticeably. After forming a higher-high pattern, the market pulled back. A long position was opened on a 3K reversal at the bottom. It then climbed to 2070 before pulling back into a trading range. The bottom held above 2040, which was seen as a bear trap, so a take-pro

Nvidia is facing renewed market pressure as controversy surrounding CEO Jensen Huang draws attention.

The company reportedly lost around $430 billion in market value over just two trading sessions, amid growing concerns about leadership and corporate governance.

This situation highlights how executive controversies can influence investor confidence, even at one of the world's largest technology companies.

Markets are watching how Nvidia responds.

DYOR. NFA.
#GateIPOAccessAnthropic