Hot take: most of the “AI trading” stuff built around Jev looks impressive, but falls apart the moment you compare it with how real traders actually make decisions.
Once you understand how Jev interprets data, the question becomes pretty obvious:
Would you blindly let GPT-6 or Opus 5.1 make your trades for you?
If not, why would Jev suddenly be different?
AI can absolutely help with analysis.
But it should support your judgment — not replace it.
Backtests don’t trade. Orders do.
With a 24% win rate and tight ORB stops, execution assumptions matter enormously. Zero slippage isn’t a footnote here — it may be a meaningful part of the edge.
The interesting number isn’t +1,485%.
It’s what survives realistic fills, NBBO, and out-of-sample testing.
The capability jump is real.
The “recursive self-improvement” conclusion is doing a lot more work than the evidence.
Older models helping train the next model is AI-assisted R&D.
Recursive self-improvement is when the loop starts improving the loop itself.
We may be getting closer to that.
But those are very different claims.
@GlobalMktObserv Everyone is staring at the 3% number.
I’m watching what happens after it.
Japan spent decades exporting cheap capital to the world. If JGBs become attractive at home again, that marginal bid for foreign bonds doesn’t have to stay abroad.
That’s the actual trade.
@NCheron_bourse Everyone is arguing about whether copper demand will “explode.”
I think that’s the wrong question.
Copper doesn’t need explosive demand. It just needs demand to grow faster than a supply side that takes a decade to respond.
That’s how a shortage becomes a price problem.
@Leoskie_L Yep. $1.2B gets the headline.
$JBL getting through qualification and turning into a production order is what actually matters.
Pipeline is a story. Conversion is the business.
@Fibonacci_TA I like the monthly structure here.
But $36 holding is the setup, not the conclusion.
For me, the real tell is whether $IREN can turn $40 from resistance into acceptance. If that happens with volume, then $50–56 gets much more interesting.
The pattern is getting hard to ignore: the AI trade is no longer just about GPUs.
The bottleneck keeps migrating downstream — $NVDA / $AMD demand → memory → ABF → traditional packaging → wire bonding → optics → power components.
That’s probably where the next mispricings are hiding. The obvious winners are already obvious.
@aleabitoreddit QQQ ripping on old information is information.
Trump wanting lower rates isn’t new.
The reaction tells you more about positioning than the quote does.
@PeterSchiff If every macro path ends at the same trade, you don’t have a framework. You have a marketing funnel.
Gold may still be right. That’s a separate question.
FinTwit loves turning price action into fake fundamental evidence.
A falling multiple is not the same thing as falling demand.
Wake me up when hyperscaler capex, LTAs, backlog or utilization actually roll over.
Until then, macro is changing the price of the thesis, not the thesis itself.
@Mr_Derivatives $150 is the trigger, not the target.
Break it, hold it, and make sellers fail on the retest — then I care.
A wick through resistance with no follow-through is just free dopamine for bulls.
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