I AM OFFICIALLY RESTARTING THE $1,000 TO $1,000,000 $SPX 2026 SUMMER CHALLENGE NEXT MONDAY! πΈποΈ
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In February 2023, I said buy $NVDA at $18 before AI explosion.
Then I called out:
$MU at $80 β $1150
$ASTS at $2 β $130
$IONQ at $7 β $72
$DRAM at $25 β$76 (safest play so far)
Right now, these are still super cheap:
$NOW at $95
$NBIS at $287
$AAOI at $162
$AVGO at $411
$META at $574
$WDC at $754
β»οΈ RESHARE this post and write 1 comment, I'll share my favorite stock under $10 to 10x.
No one thinks $SPY can crash 5%-10% from here.
But, it will if Kevin Warsh is HAWKISH at FOMC.
These 16 stocks will be on sale ONE LAST TIME:
$DRAM β Buy Zone: $40-$45
Memory bottleneck powering every AI training cluster. Potential 10x.
$MU β Buy Zone: $700-$800
HBM memory leader. AI compute cannot scale without it.
$NVDA β Buy Zone: $165-$175
AI infrastructure king. Owns the GPU layer. Potential 10x.
$SPCX β Buy Zone: $135-$145
Pure-play SpaceX exposure. Benefits from entire space economy.
$SNOW β Buy Zone: $160-$170
Enterprise AI runs on organized, accessible data.
$QCOM β Buy Zone: $150-$160
Edge AI adoption across billions of devices.
$ORCL β Buy Zone: $130-$140
Cloud infrastructure and AI data center expansion.
$NBIS β Buy Zone: $190-$200
AI cloud capacity shortage drives explosive demand.
$TE β Buy Zone: $6-$6.50
Critical connectors inside every AI data center.
$IONQ β Buy Zone: $35-$40
Quantum computing could become next AI acceleration layer.
$ASTS β Buy Zone: $60-$70
Space-based connectivity powered by AI and satellites.
$META β Buy Zone: $480-$520
Massive AI capex and billions of users.
$MSFT β Buy Zone: $350-$370
AI software, cloud, enterprise dominance combined.
$LITE β Buy Zone: $600-$650
Optics move AI data between GPUs. Essential.
$BE β Buy Zone: $220-$230
Reliable power infrastructure for AI expansion.
$ARM β Buy Zone: $220-$240
CPU architecture behind future AI devices.
$AMD β Buy Zone: $400-$420
Second AI compute platform gaining market share.
$VRT β Buy Zone: $220-$240
Cooling and power backbone of AI infrastructure.
If Kevin Warsh sparks a hawkish selloff, I'm buying memory, power, cooling, optics, compute, and space.
πRESHARE post and reply 1 comment, I'll DM you my $SPY levels so we know exactly where to buy:
2 years ago, I called out $ASTS
at $2. It spiked 6500% to $130+
My target for $SPCX is at least $1000+ in 2027.
Right now, $MU is the most obvious play. Its earnings is on June 24.
I already explained why these still 10x-20x:
$MU β AI memory demand is exploding. HBM supply can't keep up with NVDA.
$TE β Every AI data center needs connectors. TE is the backbone nobody talks about. (Leopold call)
$KEEL β Defense AI contracts are ramping. This small cap is massively underpriced right now. (Leopold call)
$SNOW β Data cloud is the picks-and-shovels of every enterprise AI rollout.
$QCOM β Edge AI chips will be in every phone. Qualcomm owns that entire market.
$AAOI β Optical interconnects are the new bottleneck. AAOI is positioned perfectly inside data centers.
$RXT β Managed cloud services are accelerating. Enterprises are outsourcing AI infrastructure fast. (Love this one)
$RKLB β Rocket Lab launches are accelerating. Space economy buildout is just getting started.
β»οΈ RESHARE this post and write 1 comment, I'll DM you my exact 1000% play for
$MU for earnings.
My Uber driver asked what I do for work.
Software.... Cool. Can you look at something?
He handed me his phone at a red light. Terminal. Claude chat. Green P&L.
+$6,200.
He drives Uber 4 days a week. Makes $1,100. Has a 2-year-old daughter.
Where did you find this?
Your article. The 10,000 wallets one.
He read it 3 months ago. Did not understand half of it. Asked Claude to explain it like he's five.
214 messages. All during breaks between rides. Parked at gas stations. Waiting for pings.
1st thing Claude told him: 87% of wallets lose money. Do not be the 87%.
He installed poly_data. Fed it to Claude. Found 47 wallets with Sharpe above 2.0. Filtered crypto only. Quarter Kelly. $200 starting bankroll. From his tips.
93 messages later Claude helped him build the 20-line brain from the article. Bayesian updates. EV filter at 5%. Fully automated.
Last 45 days:
β 480 trades
β 91.3% win rate
β +$6,200
Best trade, whale convergence on Fed rate cut.
4 wallets entered in 2 minutes.
Entry $0.12. Resolved $1.00. +$1,760.
While dropping off a passenger at JFK.
The passenger tipped him $5. The bot made $1,760.
His wife found the Telegram alerts on his phone.
Thought he was texting another woman.
He showed her the P&L curve.
Can you make me one?
How long until you quit driving?
He looked at me through the rearview mirror.
I'm not stopping. Uber is my cover story.
I wrote the article. He actually opened terminal.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word "Trade"
2. Like and Retweet this post
3. Follow me @codewithimanshu (so i can DM you)
Save this post. Deploy the bot this weekend.
Start with $200. Scale on evidence.
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 π 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 π 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 π 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 π 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.
β»οΈ RESHARE this post and write 1 comment, I'll DM the best $MU contract to get for earnings right now.