Charles Anim @charlesanim499 - Twitter Profile

Yesterday, $DELL spiked 45% after its Q1 earnings. Options exploded 20000%-30000% in 1 day (rare). Next week, there's 4 earnings with exact same set-up: 1. $CRWD 📅 Earnings: June 3 (After Close) As enterprises deploy thousands of AI agents, cloud workloads, and connected endpoints, the security perimeter expands infinitely, making Falcon's AI-driven threat detection not optional but mandatory. No one builds a $500B AI datacenter and skimps on security. $CRWD is the toll booth on the AI buildout highway and that moat compounds with every new customer and dataset feeding its threat intelligence engine. Target: $800 median | $700 Wedbush & Benchmark | $750 Oppenheimer 2. $AVGO 📅 Earnings: June 2 (After Close) Custom AI chip (XPU) demand from hyperscalers accelerating every quarter. $AVGO is the silent infrastructure backbone of the AI supercycle. While $NVDA dominates training, Broadcom owns the custom silicon layer designing the XPUs that $GOOG, $META, and Tiktok use to run inference at hyperscale, plus the networking chips that stitch datacenters together. As hyperscalers race to reduce $NVDA dependency and build proprietary AI chips, Broadcom is the only company with the design expertise and manufacturing relationships to deliver. Target: $500 avg | $480 Susquehanna | $560 high 3. $PANW 📅 Earnings: June 2 (After Close) Platformization strategy converting AI security budgets into sticky, recurring revenue. AI doesn't just create new threats it supercharges existing ones, making next-gen cybersecurity a non-negotiable line item for every enterprise on the planet. PANW's platformization strategy is purpose-built for this world: one unified platform replacing dozens of point solutions, with AI models running across network, cloud, and endpoint security simultaneously. Target: $320 avg | $340 high | $300 median (75 analysts) 4. $GTLB 📅 Earnings: June 2 (After Close) AI-native DevSecOps platform controls full dev lifecycle as code volumes explode. AI is going to produce more code in the next five years than humans wrote in the last fifty and all of it needs to be managed, secured, and deployed somewhere. While competitors like GitHub Copilot focus on code generation, GitLab controls the entire pipeline and that becomes more valuable, not less, as AI-generated code volumes explode. Target: $40 median | $60 high (Macquarie) | $27 low (Cantor) $ORCL earnings is on June 10 and $MU is on June 24. These will explode like $DELL did most likely. ♻️ RESHARE this post and write 1 comment, I'll DM the best $MU contract to get for earnings right now.

itsmichaelluu's tweet photo. Yesterday, $DELL spiked 45% after its Q1 earnings.

Options exploded 20000%-30000% in 1 day (rare).

Next week, there's 4 earnings with exact same set-up:

1. $CRWD 📅 Earnings: June 3 (After Close)

As enterprises deploy thousands of AI agents, cloud workloads, and connected endpoints, the security perimeter expands infinitely, making Falcon's AI-driven threat detection not optional but mandatory.

No one builds a $500B AI datacenter and skimps on security. $CRWD is the toll booth on the AI buildout highway and that moat compounds with every new customer and dataset feeding its threat intelligence engine.

Target: $800 median | $700 Wedbush & Benchmark | $750 Oppenheimer

2. $AVGO 📅 Earnings: June 2 (After Close)

Custom AI chip (XPU) demand from hyperscalers accelerating every quarter. $AVGO is the silent infrastructure backbone of the AI supercycle.

While $NVDA dominates training, Broadcom owns the custom silicon layer designing the XPUs that $GOOG, $META, and Tiktok use to run inference at hyperscale, plus the networking chips that stitch datacenters together.

As hyperscalers race to reduce $NVDA dependency and build proprietary AI chips, Broadcom is the only company with the design expertise and manufacturing relationships to deliver.

Target: $500 avg | $480 Susquehanna | $560 high

3. $PANW 📅 Earnings: June 2 (After Close)

Platformization strategy converting AI security budgets into sticky, recurring revenue.
AI doesn't just create new threats it supercharges existing ones, making next-gen cybersecurity a non-negotiable line item for every enterprise on the planet.

PANW's platformization strategy is purpose-built for this world: one unified platform replacing dozens of point solutions, with AI models running across network, cloud, and endpoint security simultaneously.

Target: $320 avg | $340 high | $300 median (75 analysts)

4. $GTLB 📅 Earnings: June 2 (After Close)

AI-native DevSecOps platform controls full dev lifecycle as code volumes explode.

AI is going to produce more code in the next five years than humans wrote in the last fifty and all of it needs to be managed, secured, and deployed somewhere.

While competitors like GitHub Copilot focus on code generation, GitLab controls the entire pipeline and that becomes more valuable, not less, as AI-generated code volumes explode.

Target: $40 median | $60 high (Macquarie) | $27 low (Cantor)

$ORCL earnings is on June 10 and $MU is on June 24. These will explode like $DELL did most likely.

♻️ RESHARE this post and write 1 comment, I'll DM the best $MU contract to get for earnings right now.

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Charles Anim @charlesanim499

20 days ago

@suekhim This is awesome @suekhim. I’d like to chat, DM me

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Charles Anim @charlesanim499

20 days ago

@FL0WG0D Hmm not sure about this

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Charles Anim @charlesanim499

21 days ago

@Remzztrades How did I miss this

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charlesanim499 retweeted

Michael | Hypermarkets

@itsmichaelluu

22 days ago

$ORCL earnings is on June 10 and its the last tech play before $MU. Why? • EPS expected: $1.92–$1.96 (+15–17% YoY) • Revenue expected: ~$19.1B (+18–20% YoY) • Cloud growth projected at 44–48% • RPO backlog exploded 300% YoY to $553B • FY2027 revenue target raised to $90B • AI + cloud demand still accelerating • Partnerships with $GOOG, $MSFT & $AMZN growing stronger • Massive AI infrastructure buildout already underway ♻️ RESHARE this post and write 1 comment, I'll DM the calls I want to buy.