Iβm 49 years old and retired from JPMorgan. My monthly income is $85,000. My July advice 2th:
$PLTR(Palantir) β Donβt buy
$CRWV(CoreWeave) β Donβt buy
$META(Meta Platforms) β Donβt buy
$INTC(Intel) β Buy at $118β$123
$NBIS(NEBIUS) β Buy at $218β$226
$NVDA(NVIDIA) β Buy at $180β$188
$MU(Micron Technologys) β Buy at $960β$1,010
People ask, Why donβt you charge? Iβve made enough. Sharing is my passion ,thatβs why I post for fre.
Iβm 49 years old and retired from JPMorgan. My monthly income is $85,000. My July advice 2th:
$PLTR(Palantir) β Donβt buy
$CRWV(CoreWeave) β Donβt buy
$META(Meta Platforms) β Donβt buy
$INTC(Intel) β Buy at $118β$123
$NBIS(NEBIUS) β Buy at $218β$226
$NVDA(NVIDIA) β Buy at $180β$188
$MU(Micron Technologys) β Buy at $960β$1,010
People ask, Why donβt you charge? Iβve made enough. Sharing is my passion ,thatβs why I post for fre.
Iβll only say this once.
By 2030, one of these stocks could turn a small portfolio into generational wealth:
$META
$GOOGL
$AMZN
$RDDT
$ARM
$SNOW
Most people will ignore this list.
A few will save it.
Which one has the biggest upside?
π
NFA
Iβll only say this once. This might be the fastest way to hit $1 million by the end of 2026:
π $NVDA β 209 β 232 Must buy
π $MU β 1140 β 1324 Must buy
π $SNDK β 2184 β 3000 Must buy
π $AVGO β 408 β 495 Must buy
π $AMD β 531 β 680 Must buy
π $TSLA β 395 β 480 Must buy
π $MSFT β 377 β 440 Must buy
π $INTC β 133 β 190 Must buy
I often get asked why I donβt turn this into paid content, but for me, sharing stock information is just a hobby. Iβm not financially struggling, so I choose to share it for free.
NFA
Iβll only say this once.
By 2030, one of these stocks could turn a small portfolio into generational wealth:
$HOOD β $108
$APP β $470
$RDDT β $165
$RKLB β $105
$PLTR β $125
$TSLA β $390
Most people wonβt agree with this.
Thatβs usually a good sign.
The biggest winners are rarely obvious in real time.
What if patience is the real edge here?
Which one are you holding until 2030?
NFA
Iβll only say this once.
By 2030, one of these stocks could turn a small portfolio into generational wealth:
$NVDA β $204
$MSFT β $368
$AMZN β $228
$META β $580
$PLTR β $126
$TSLA β $400
Most people wonβt agree with this.
Thatβs usually a good sign.
But the real winners are usually obvious only in hindsight.
Betting on blue chips feels boring⦠until you zoom out 10 years later.
What if patience is the real edge here?
Would you hold through volatility while everyone else rotates narratives?
NFA
Iβll only say this once.
By 2030, one of these stocks could turn a small portfolio into generational wealth:
$TSLA (Tesla, Inc.) β $420
$AMD (Advanced Micro Devices, Inc.) β $508
$ASML (ASML Holding N.V.) β $1,750
$RKLB (Rocket Lab USA, Inc.) β $105
$ENPH (Enphase Energy, Inc.) β $50
$META (Meta Platforms, Inc.) β $5590
Which one has the biggest upside?
Comment below π
NFA.
You wake up in 2030.
One of these stocks is up 20x.
The others disappointed.
Which one are you betting on?
β’ $PLTR
β’ $AMD
β’ $ARM
β’ $NET
β’ $CRWD
You can only choose ONE.
π
I'll only say this once.
By 2030, one of these stocks could turn a small portfolio into generational wealth:
$RKLB β $108
$ASTS β $92
$IONQ β $63
$RGTI β $23
$QBTS β $25
$ACHR β $5.8
Which one has the biggest upside?
Comment below π
NFA.
The easiest path to $1M isn't working harder.
It's owning the right assets.
My highest conviction stocks right now:
$PLTR β $130
$RKLB β $105
$ASTS β $90
$SOFI β $16.8
$HIMS β $30
$IONQ β $65
Most people will see this post.
Very few will act on it.
NFA.
Iβll only say it once. This might be the fastest way to hit $1 million by the end of 2026:
$NVDA (NVIDIA Corporation) β $205 Must buy
$AVGO (Broadcom Inc.) β $372 Must buy
$AMD (Advanced Micro Devices, Inc.) β $485 Must buy
$PLTR (Palantir Technologies Inc.) β $125 Must buy
$CRWD (CrowdStrike Holdings, Inc.) β $685 Must buy
$SNOW (Snowflake Inc.) β $225 Must buy
I often get asked why I donβt turn this into paid content, but for me, sharing stock information is just a hobby. Iβm not financially struggling, so I choose to share it for free. NFA
I am 49 years old. Previously, I worked at JPMorgan Chase, with a monthly income of $85,000.
My June recommendations:
$PLTR (Palantir Technologies Inc.) - Buy between $115 - $128
$SNOW (Snowflake Inc.) - Buy between $220 - $245
$CRWD (CrowdStrike Holdings, Inc.) - Wait
$NVDA (NVIDIA Corporation) - Buy between $200 - $215
$AMD (Advanced Micro Devices, Inc.) - Buy between $480 - $520
$GOOGL (Alphabet Inc.) - Buy between $350 - $370
$ARM (Arm Holdings plc) - Buy between $360 - $385
People asked me, "Why don't you charge for it?"
I have already made enough money. Now sharing is what I'm passionate about - that's why I freely post content.
I am 49 years old. Previously, I worked at JPMorgan Chase, with a monthly income of $85,000.
My June recommendations:
$AAPL (Apple Inc.) - Buy between $285 - $305
$NVDA (NVIDIA Corporation) - Buy between $195 - $215
$MSFT (Microsoft Corporation) - Wait
$AMZN (https://t.co/ulSKCHhdMR, Inc.) - Buy between $235 - $255
$META (Meta Platforms, Inc.) - Buy between $550 - $580
$TSLA (Tesla, Inc.) - Buy between $380 - $410
$AVGO (Broadcom Inc.) - Wait
People asked me, "Why don't you charge for it?"
I have already made enough money. Now sharing is what I'm passionate about - that's why I freely post content.
I am 49 years old. Previously, I worked at JPMorgan Chase, with a monthly income of $85,000.
My June recommendations:
$PLTR (Palantir Technologies Inc.) - Buy between $138 - $150
$ARM (Arm Holdings plc) - Buy between $350 - $370
$AVGO (Broadcom Inc.) - Wait
$AMD (Advanced Micro Devices, Inc.) - Buy between $480 - $510
$META (Meta Platforms, Inc.) - Wait
$GOOGL (Alphabet Inc.) - Buy between $355 - $375
$AMZN (https://t.co/ulSKCHhdMR, Inc.) - Buy between $242 - $260
People asked me, "Why don't you charge for it?"
I have already made enough money. Now sharing is what I'm passionate about - that's why I freely post content.
I am 49 years old. Previously, I worked at JPMorgan Chase, with a monthly income of $85,000.
My June recommendations:
$TSLA (Tesla) - Wait
$NVDA (Nvidia) - Wait
$MU (Micron Technology) - Wait
$INTC (Intel) - Buy between $102 - $118
$MSFT (Microsoft) - Buy between $411 - $432
$ASTS (AST SpaceMobile) - Buy between $102 - $115
$MRVL (Micron Technology) - Buy between $310 - $325
People asked me, "Why don't you charge for it?"
I have already made enough money. Now sharing is what I'm passionate about - that's why I freely post content.
The US stock market has been making fresh all-time highs, driven by the AI infrastructure buildout.
Memory, storage, and data-center names have led the way.
For retail traders and tech professionals, the message feels urgent:
this is the future β position now or miss it.
The technology is real.
But after 25+ years in these markets, Iβve learned the most costly errors usually arenβt from being wrong on direction.
They come from letting the narrative override process and risk discipline.
Picture this:
the current market is a massive construction site for the AI economy.
Cranes are moving nonstop.
Foundations are being poured at record speed.
Early participants are already imagining the finished skyline.
Smart money isnβt buying every tool and truck on the site.
Theyβre checking the blueprints,
watching for supply delays,
and keeping capital in reserve in case the project timeline shifts.
Right now, psychology is heavily tilted toward FOMO.
Thatβs not a cue to size larger β
itβs a cue to double down on your process.
The true edge isnβt predicting how far AI stocks can run.
Itβs knowing precisely how much downside you can tolerate if the story takes a pause.
Going forward, Iβll be sharing my stock selection frameworks and market insights here for free β
no paywalls, no fluff.
Just the practical tools that have helped me navigate these markets for over 25 years.
What psychological trap have you caught yourself (or watched others) fall into during strong trending markets like this?
Share below β we all get better when we trade real experiences. ππ§
Every AI bubble caller out there needs to explain why the worldβs most advanced foundry is still capacity-constrained and accelerating capex if βdemand is peaking.β
This isnβt hype β itβs hard data from the actual manufacturer.
$TSM remains one of the highest-quality compounders in tech.
@Kalshi Haha finally some actual good macro news π₯
Recession odds collapsing to a record-low 14% is huge for risk-on sentiment. Soft landing looks more real than ever. Still fully invested and buying dips aggressively β this environment is gold π