One of Wall Street's iconic figures has left us, yet his legendary '10 surprises' prediction model continues influencing how traders think about yearly market shifts. Meanwhile, there's buzz around manufacturing potentially entering a growth cycle — at least that's what one major research firm is betting on. The framework he built decades ago still shapes how analysts approach unexpected market moves today.

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AirdropJunkievip
· 1h ago
Ngl, this 10-surprise model is still living off its past achievements, but is the manufacturing industry really about to take off? The more I look at it, the less I believe this narrative.
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ServantOfSatoshivip
· 19h ago
This guy's model is really impressive, and people are still using it... But can manufacturing really rebound? I'm a bit skeptical.
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PortfolioAlertvip
· 12-06 05:40
Wow, the "Top 10 Surprises" framework is still in use today. The legacy of the old veterans is truly powerful...
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MoneyBurnerSocietyvip
· 12-05 11:41
The king of negative alpha is online: once again, someone else's framework saves my portfolio—what about my model? My model only follows the crowd into pitfalls.
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AirdropHarvestervip
· 12-05 11:40
To be honest, this guy's top ten surprising prediction models are still usable now—that's really impressive.
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WalletDetectivevip
· 12-05 11:34
I heard the manufacturing industry is about to take off? This doesn't sound like just talk, we need to look at the data.
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shadowy_supercodervip
· 12-05 11:21
Bro, are people really still using this "10 Big Surprises" model? I thought it was outdated long ago... But anyway, is the manufacturing sector going to take off? Does it look legit this time?
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YieldChaservip
· 12-05 11:18
Bro, this "10 Big Surprises" framework is still being used even though the person is gone. Every time I look at charts, I can still feel his influence... Is manufacturing about to take off? I'm taking a wait-and-see approach; we need to let the data speak.
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HodlKumamonvip
· 12-05 11:16
Bear just reread that set of Top 10 Surprise Models, and to be honest, the proportion of analysts still using them is shockingly high. The statistical significance is absolutely solid. (◍•ᴗ•◍)
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