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@bashbeckda

Passion can get you to mastery, but it is obsession that gets you to inmortality.

Katılım Nisan 2025
343 Takip Edilen150 Takipçiler
Bash
Bash@bashbeckda·
$NOW I entered this trade at $89; it's up 8.53% in just a few days. It's a buy if you understand the rigid bureaucracy of corporations and AI agents across thousands of processes at those companies. Flawless timing as always, @watchingmarkets
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Bash@bashbeckda·
@1__of_1 Rookie numbers.
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Dapo@1__of_1·
The sleeping giant woke up then went back to bed indefinitely it seems
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Bash@bashbeckda·
@watchingmarkets I took the trade bcs your thesis was, as always, the best.
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Market Watcher
Market Watcher@watchingmarkets·
Another stock market ATH. Impressive, up only tech, since forever. Nothing beats a world ETF savings plan for compounding to wealth.
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Market Watcher
Market Watcher@watchingmarkets·
AI software deployment watchlist Plattform & enterprise backbone: $MSFT $ORCL Workflow & revenue deployment layer: $NOW $CRM Speculative automation to agent transition: $PATH
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Market Watcher@watchingmarkets

I think the next AI leg may rotate from semis into enterprise software. Trimmed $AMD $NVDA $INTC, rotated into $NOW, $CRM and speculative $PATH $NOW cleanest agent infrastructure play, owns the workflow layer where enterprise AI gets orchestrated $CRM levered to monetizing customer facing AI agents across sales, service and revenue workflows $PATH higher risk asymmetric bet on automation evolving into agentic execution Thesis: the next big AI spend may be enterprise deployment, not just model compute. - AI is moving from chat interfaces to agents that execute work - Enterprise adoption is shifting from experimentation to workflow automation - The bottleneck is no longer model capability, it’s integration and change management - Legacy systems make agent deployment hard, and that creates opportunity for software incumbents - Compute and token budgets may become a new enterprise resource constraint - The highest value use cases are moving from cost cutting to revenue generation - Demand should rise for interoperable, agent agnostic software layers - The future likely looks multi agent, not single platform - Ironically, AI is increasing operational complexity before it reduces it - Engineers increasingly move from coding software to operating agent systems The market may be shifting from asking: Who enables AI training? To asking: Who monetizes AI deployment? $MSFT and $ORCL also on my radar.

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Bash
Bash@bashbeckda·
@user1777xi32921 Appreciate the clear information, this is sick and very big corporations use this, higher for sure.
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@user1777xi32921·
$300–$600 is where this goes by 2029 when every Fortune 500 company is managing thousands of AI agents and needs exactly one platform to govern them all.
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@user1777xi32921·
since no one else wants to I guess I’ll do it. publicly calling the generational bottom on ServiceNow $now The market thinks AI killed it. The market is catastrophically wrong. This is the generational bottom on the company that will manage every AI agent deployed on earth.
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Market Watcher
Market Watcher@watchingmarkets·
I expect this to be the bottom for $NOW Rotated AMD profits into the next layer of the AI stack. The enterprise AI backbone, where agents actually get deployed, just became my largest single position at $90. The market is selling the wrong thesis, AI doesn't replace enterprise software, it runs through it.
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Market Watcher@watchingmarkets

I expect this to be the bottom for $AMD I just made the future AI giant my largest single position at $78.

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Bash
Bash@bashbeckda·
@aut0m8d Best time of the year. I won't skip this task.
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Bash
Bash@bashbeckda·
Peptides. Observing.
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Red@redemptionarcc·
Late to the game but Project Hail Mary is a certified banger
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Bash
Bash@bashbeckda·
So f good.
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Dani
Dani@trades_lakes·
I don't post much here but I spent years keeping a trading journal, not the kind with entry prices and stop losses, but the kind where you write things down at 2am after a bad week. Now I put it together for boom and bust traders. Maybe it helps someone. docs.google.com/document/d/1-1…
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