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📢 Today’s Hot Topic | U.S. October PPI to Be Released Soon
The U.S. October PPI will be released on November 13! As an important indicator of upstream inflation, the data could affect market expectations for the Fed’s interest rate policy. If PPI comes in higher than expected, could crypto

Packaged as a love story everyone admired for 40 years
Didn't expect Lao Huang to be this wild👀👀

Why Can Actual Losses Still Exceed Expectations After Setting a Stop-Loss?

Many traders believe that setting a stop-loss is enough to keep losses within a predetermined range.

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

A sudden market decline, insufficient liquidity, or order execution slippage can all cause the actual execution price to differ from expectations.

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 falls ra

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

Quanta Services: AI Growth Forecast vs. Brokerage Price Target Cuts
Quanta Services (PWR) sees double-digit AI server growth in 2027, but U.S. and Japanese brokerages have cut their price targets. Despite the target cuts, the stock is up 4.25%.

This is a contradictory and highly interesting headline. On one hand, Quanta Services is projecting strong, double-digit growth in AI server infrastructure by 2027. As mentioned in previous feeds, Quanta is a major player in the "picks and shovels" side of the AI boom, building the power grids and data centers needed to support these servers.

However

$PEPE Currently trading at 0.0000046, down 14.66% over 24H, with the price near its 24H low. The 1H and 4H structures are both weak, and the price continues to trade below EMA20. RSI is 17.74 and 30.94, respectively, while current volume is only 0.34x the average volume of the last 20 or so bars, indicating a clear lack of buying support.
If the price can later break above and hold the resistance at 0.00000543, watch for signs of a recovery. If it breaks below the support at 0.0000045 and fails to reclaim it, weakness may continue. In the next review, focus on whether the price can hold above

Taiwan Main Index Tests 44,000 Level Amid Profit-Taking and Satellite Rally
The Taiwan Main Index is testing the 44,000 level amidst profit-taking. Concurrently, low-orbit satellite stocks are rallying on news related to a SpaceX space power play. The ticker shows SPCX down 2.32%.
This headline captures a fascinating intersection of macro-market mechanics and futuristic tech. The Taiwan Main Index testing a massive milestone like 44,000 points is a testament to the island's critical role in the global semiconductor supply chain, driven primarily by TSMC. However, the mention of "profit-taking

Everyone, don't feel bad; no one needs to envy anyone
Those who didn't buy silver bought gold
Those who didn't buy gold traded stocks
Those who didn't trade stocks invested in funds
Those who didn't invest in funds traded futures
Those who didn't touch futures traded U.S. stocks
Those who didn't trade U.S. stocks jumped into crypto
Got liquidated on contracts, stuck holding altcoins
Those who didn't touch any of that
Bought houses and cars, buying at the top
Those who didn't buy property lent money they never got back
Those who didn't lend money may have had their savings stolen in a scam
Thos

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

A trading strategy may have a high win rate in backtests, a steadily rising return curve, and a seemingly acceptable maximum drawdown.

But once deployed in the market, the results may be completely different: trading costs keep piling up, actual execution prices deviate from expectations, several trades in a row lose money, and the once-impressive return curve gradually loses credibility.

So where exactly does the problem lie?

Backtesting measures how a strategy performed on specific historical data and und

$LITE SHORT SETUP — SELLERS TAKING CONTROL!

Entry: 626.51
SL: 646.50

TP1: 614.70
TP2: 596.00
TP3: 575.00

$LITE is facing strong selling pressure after rejection from 679.48. The recovery has lost momentum, with lower highs forming and sellers pushing price toward nearby support. A break below 614.70 could accelerate the correction toward 596 and potentially 575.

Invalidation: A sustained recovery above 646.50 weakens the bearish setup.

#PredictionMarketVolumeKeepsGrowing $PEPE vs $SHIB vs $BONK : The Road to 2040!
What if these three meme coins continue growing through 2040?
🔥 The 2040 Roadmap
2026–2030 • Community expansion
• Token burn initiatives
• Ecosystem development
2030–2035 • More real-world utility
• Continued supply reduction
• Potential price growth
2035–2040 • Greater adoption
• Potential scarcity
• Long-term price appreciation

NVDA Trading Frenzy on Hyperliquid

Marked as "Important," Nvidia's (NVDA) open interest on Hyperliquid hits $535 million, becoming the fourth-largest market on November 12.
This headline offers a deep glimpse into the rapidly evolving world of decentralized finance (DeFi) and crypto derivatives. Hyperliquid is a decentralized perpetual exchange. The fact that NVDA's open interest—the total value of outstanding, unsettled derivative contracts—has reached $535 million on this platform is extraordinary.

It signifies that a massive amount of capital is being deployed to speculate on Nvidia's st

PEPE is back to square one overnight.

Down 15.2% in 24 hours, currently at 0.0000046, after hitting a low of 0.00000451. Trading volume was $40.42 million, and its market cap shrank to $1.92 billion. Two days ago, it surged to 0.00000562, just shy of its previous high of 0.00000568. Yesterday, a single red candle wiped out all the gains from the previous three weeks.

BTC was flat, while ETH fell less than 1%. The meme sector was the first to crash.

The coin’s current community buzz and on-chain activity are all available in the data under the tags.

Hot token: $1000SATS $2Z Personal views f

Why Can a Trade Look Profitable While the Final Account Returns Are Less Than Ideal?

In cryptocurrency trading, many people encounter this situation:

After buying, the price does rise, and the sale shows a profit, but when they check their account afterward, the actual returns are not as high as expected.

The problem may not be with getting the direction right. It may be that the profit you see is not necessarily the amount that ultimately remains in your account.

I. A Price Increase Does Not Mean All Costs Have Been Deducted

The actual outcome of a trade usually needs to account for:

*

$INTW LONG SETUP — BULLS EYEING ANOTHER BREAKOUT!

Entry: 6.22
SL: 5.98

TP1: 6.40
TP2: 6.60
TP3: 6.88

$INTW is showing signs of recovery after pulling back from 6.88. Buyers are defending the 6.00 support area, but price still needs to reclaim 6.40 to confirm stronger bullish momentum. A successful breakout could open the way toward the previous high.

Invalidation: A sustained break below 5.98 weakens the bullish setup.

Why can a trading strategy’s returns look stable while hiding significant risks?

A trading strategy earns a little each day, records multiple consecutive wins, and rarely loses.

At first glance, this may seem like a very stable strategy.

But if the market suddenly reverses, the profits accumulated earlier may quickly disappear, or losses may even far exceed expectations.

Why does this happen?

Because stable returns do not mean low risk, and a high win rate does not guarantee long-term profitability.

To determine whether a strategy is reliable, you need to look at the risk structure behin

The AI gold rush has officially begun! Chip companies are making a fortune—who will be the next big winner?

If the past AI wave was a gold rush, then chipmakers and computing infrastructure providers were the first to sell shovels.
As AI models continue to advance, training and inference require vast computing resources, and demand for data centers, servers, networking equipment, and advanced chips is also drawing market attention.
But AI commercialization is starting to change: the market is no longer focused only on who can produce the most powerful chips, but is beginning to look for who c