The All-Weather Investor | Building a $5M portfolio—$1M already achieved | Sharing everything I learn along the way

Strategic stock investing for Wealth Managers and Family Offices.

Wealth preservation is essential. 

But true financial stewardship requires strategic growth—built on conviction, discipline, and risk management.

Many wealth managers and family offices struggle to find stock investment strategies that deliver superior returns without unnecessary complexity. Our approach bridges that gap.

I’m Marcello, a former doctor turned full-time investor with two decades of experience in stock and crypto markets. 

Since 2016, I have worked with wealth managers, family offices, and high-net-worth individuals to implement investment strategies that maximize performance while protecting capital.

In 2020 and 2021, my momentum-based approach transformed $32,000 into over $1 million. 

Today, we refine and apply that strategy for professionals seeking an edge in the markets.

What we offer: 

↳ Institutional-grade stock strategies designed for long-term performance
↳ Risk-managed investment frameworks to navigate uncertainty with confidence
↳ Tailored solutions for wealth managers and family offices seeking scalable, high-conviction strategies

If you're looking to strengthen your portfolio strategy with a proven, data-driven approach, email me at marcello@mdvinternational.com

Marcello Duarte Vieira

Successful investing for superior returns focuses more on letting winners run and cutting losses quickly than on always predicting what will succeed, provided you're decent at spotting opportunities.

Fund Manager | Specialized Momentum & Risk-Hedged Solutions for Family Offices & Advisors | 20+ Years of Market Experience

I love stocks with strong fundamentals, but I love them even more when there's a long-term tailwind pushing them forward.

AI is speeding up the markets, making trends shorter and more volatile with sharper swings. More than ever, you need to move quickly and not always hold out for a pullback before jumping into a new trade.

You need conviction in your strategy so you can handle volatility without doing dumb things. Conviction comes from knowledge + experience.

In most market environments, strong stocks perform extremely well. The exception is bear markets and liquidity crises, where hedging matters most. Otherwise, concentrate on stocks in strong phases. Right now, memory, fiber optics, gold miners, and commodities stand out.

Great managers are great at execution. It’s not only about picking good stocks, but also about position sizing, letting winners run, and cutting losses short. I would argue that execution is even more important than stock picking.

Strategies should be built on first principles. There is no single magic formula in fundamental or technical analysis. You need to understand the concepts that truly make sense and matter most (the 80/20 rule), and have the courage and discipline to execute.

Jeremy Prasetyo

World Champion turned Cyberpreneur | Building an AI SaaS company to $1M ARR and sharing my insights along the way | Co-Founder & CEO, TRUSTBYTES

While everyone's talking about AI, the Agentic Web and Web3,
few understand how to turn them into competitive advantage, 
even fewer into institutional advantage.
That's where I come in.

I'm a former World Champion turned Tech Founder and Emerging Technology Strategist who decodes tomorrow's tech for today's leaders. 
Through my unique ability to break down complex technologies into actionable strategies, I help organizations transform uncertainty into opportunity.

As CEO of TRUSTBYTES and an internationally recognized keynote speaker, I bridge the gap between cutting-edge innovation and real-world implementation. 

My expertise spans:

→ Emerging Tech Translation
- Transforming AI and blockchain complexities into clear strategic advantages
- Converting technological uncertainty into market-leading opportunities
- Building innovation flywheels that compound over time

→ Leadership Acceleration
- Mentoring the next generation of tech-savvy leaders
- Guiding institutional transformation with practical frameworks
- Creating bridges between legacy systems and emerging technologies

→ Strategic Innovation
- Designing AI-driven business flywheels that scale
- Developing institutional-grade technology strategies
- Engineering frameworks for sustainable growth

Through high-impact keynotes, executive mentorship, and hands-on leadership, I empower decision-makers to turn technological complexity into market dominance. 

My approach merges deep technical insight with battle-tested business acumen, helping organizations thrive in rapid change.

Tech moves fast.
Markets move faster.
But institutional transformation?
That's where most leaders get stuck.
I'm here to change the game.

Follow me for actionable insights on emerging tech, leadership, and exponential growth. 

Let's build tomorrow's advantages today.

CEO & Co-Founder

FIGHTING CYBERCRIME LIKE IT'S 2030
Find more bugs in less time while saving up to 80% of cybersecurity resources.

HOW IT WORKS
TRUSTBYTES secures exponential technologies like Web 3.0, AI or Quantum TECH with its advanced AI that delivers unparalleled accuracy. By deploying self-learning AI agent swarms that adapt to evolving threats we protect systems with superior vulnerability detection and mitigation.

THE PROBLEM
$8 Trillion in Damages
Cybercrime Damages did cost the world $8 trillion USD in 2023.
Until now, global cybercrime costs grew by 15 percent each year.
But this number will grow exponentially, as hackers start using AI or even Quantum TECH.

Threat to Humanity
Warren Buffett calls cybercrime the biggest problem facing humanity - a threat exceeding nuclear weapons.
The answer lies in fighting fire with fire through AI counterforce.
TRUSTBYTES is that enabler for CISOs - an advanced AI system augmenting human experts to proactively remediate cyber threats before damage occurs.

OUR SOLUTION - SECURING EXPONENTIAL TECHNOLOGIES

➝ Web 3.0 - Smart Contract Auditing Suite

➝ Securing AI Systems

➝ Securing the Quantum TECH era


For more details visit: trustbytes.io

The advice that changed everything for Matthew McConaughey 
⤵

Most people don’t need permission to chase their dream.
They need someone to look them in the eye and say:
"If you're gonna do it - do it right. No excuses."

That's exactly what Matthew McConaughey got.

One sentence from his father became the launchpad for everything:
"Don't half-ass your dream."

It wasn’t comfort.
It wasn’t praise.
It was the wake-up call we all need.

Let’s break it down:

1/
 ➠ Permission vs. expectation

 ➝ We're raised to seek approval
 ➝ And to follow safe, respectable paths
 ➝ But "safe" often leads to silent resentment

↳ So stop playing by rules that were never yours


2/
 ➠ McConaughey's moment

 ➝ He was set for law school
 ➝ But wanted to chase film instead
 ➝ He feared disappointment

↳ What he got was belief - because he owned the choice


3/
 ➠ What his dad really said

 ➝ "Don't half-ass it" meant: go all in
 ➝ It wasn’t coddling - it was a challenge
 ➝ If you choose it, then back it with force

↳ Commitment is the cost of clarity


4/
 ➠ What that means for you

 ➝ Dreams aren't hobbies
 ➝ They're responsibilities
 ➝ And they demand effort

↳ Half-hearted effort kills more dreams than failure ever will


5/
 ➠ Why it still matters

 ➝ Owning your path inspires others
 ➝ Taking action changes identity
 ➝ Regret haunts the untried

↳ One act of courage often unlocks another


Most people wait for belief.
For an external validation.
For someone's permission.
But belief is earned by doing - not by waiting.


▶ What if "support" looked more like challenge?
▶ Who's waiting for you to act so they can believe?
▶ When was the last time you didn’t half-ass something?


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Source: Matthew McConaughey, “Greenlights”

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Follow me for daily posts on emerging tech and growth: https://lnkd.in/gqzS_9Tf

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World Champion turned Entrepreneur | Follow me for emerging tech, leadership and growth topics | Co-Founder & CEO, TRUSTBYTES (Techstars ’25)

China isn’t replacing classrooms with AI.
They’re testing what happens when humans become data.
⤵

That distinction matters.

This is not about futuristic furniture.
Not about tablets built into desks.

It’s about what changes when learning is continuously measured.
And when behavior becomes a metric.


1/

➠ this is still an experiment
not nationwide
not universal
not evenly distributed
Only selected schools.
Mostly well funded regions.
Mostly pilot programs.

That’s how big shifts always start.
Quietly.
Before they scale.


2/
➠ what is actually being measured
interaction
posture
attention
response speed

Screens replace paper.
Sensors track behavior.
Dashboards summarize students.

Teaching becomes visible.
Students become readable.

Learning turns into signals.


3/
➠ why institutions want this
faster feedback
automated grading
performance clarity

Teachers save time.
Administrators gain insight.
Systems gain control.

Personalization sounds humane.
Optimization sounds efficient.

Both depend on defining ideal behavior.


4/
➠ where the tension lives
constant observation
psychological pressure
unequal access

Attention becomes a score.
Emotion becomes data.
Silence becomes compliance.

Urban schools accelerate.
Rural schools lag.

The gap widens quietly.


This is not about screens.
It’s about incentives.

What behavior gets rewarded.
What behavior gets flagged.
What behavior gets trained out.


Uncomfortable questions worth sitting with

▶ who defines attention
▶ who owns the data
▶ who audits the system
▶ who protects the child


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Source: Video via Alvin Foo

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There has never been a better time in history to start…
…here’s why:
⤵

The ground is shaking. That’s your signal.

When everything feels unstable, most people freeze.

Founders shouldn’t.

Volatility is not a warning sign.
It’s a starting gun.

And right now, the clock speed of entire industries is accelerating.


1/
➠ The clock just changed

➝ AI is compressing industry timelines
↳ Code is being commoditized
↳ Workflows are being rebuilt
↳ Old playbooks are breaking

This is not a feature update.

It is a pace reset.

When the speed of progress increases, anything built for the old tempo becomes friction. And friction kills incumbents.


2/
➠ Speed beats size

➝ Big companies have scale and capital
↳ But they iterate slowly
↳ Layers slow decisions
↳ Legacy resists change

When experimentation becomes cheap, scale stops being the ultimate advantage.

If code is generated on demand…
If products can be rebuilt overnight…
If testing costs close to zero…

Then iteration becomes leverage.

Startups win because they:

➝ Move quickly
↳ Test constantly
↳ Pivot fast
↳ Ship daily

In a fast clock cycle, speed compounds.


3/
➠ The shake-up is the setup

➝ Markets feel unstable
↳ Business models feel exposed
↳ Assumptions feel fragile
↳ Certainty feels gone

Good.

Everyone is facing the same disruption.

But not everyone will respond with urgency.

When the clock cycle shifts this dramatically, startups almost always win.

Not because they are smarter.

Because they are faster.

And we have never seen the ground shake like this before.

So the better question is not,
“What happens to my industry?”

It is,
“How fast can I rebuild within it?”

▶ What if instability is the advantage?
▶ What if scale is slowing you down?
▶ What if caution is the real risk?
▶ What if this is your window?


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Source: Sam Altman via @‌multiprenur

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Follow me for daily posts on emerging tech and growth: https://lnkd.in/gqzS_9Tf

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A new Silicon Valley startup just crossed $10B.
Its product? Your profession.
⤵
 
Knowledge used to be power.

Now it’s data.

Training material.

Expertise turned algorithms.
 
And your Stanford PhD?
Training the system that replaces themselves:


1/
➠ AI Progress Is Human-Led

➝ Experts identify model mistakes
↳ They measure them precisely
↳ They create scoring rubrics
↳ They reinforce better outputs

AI doesn’t improve by magic.

It improves because professionals teach it how.

And that raises the obvious question.


2/
➠ Are They Training Their Replacements?

➝ Yes
↳ In structured workflows
↳ At scale
↳ For speed

Entire professions are being distilled into repeatable logic.
But here’s the nuance.


3/
➠ What Actually Gets Replaced

➝ Pattern-based decisions
↳ Documentation
↳ Analysis
↳ Predictable judgment

What remains is harder to codify.


4/
➠ What Stays Human

➝ Context
↳ Ethics
↳ Empathy
↳ Accountability

The question is not whether AI will replace knowledge workers

The question is
▶ which parts of your expertise are defensible?
▶ Are you building skills that scale with AI?
▶ Or tasks that get absorbed by it?

 
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Source: https://lnkd.in/dsetVE5e

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How Valentine’s Day Became a 27 Billion Dollar Machine:
⤵

Most think it is about love

It is about systems

A fixed date
A rewritten narrative
Scaled production
Engineered expectation
Algorithmic amplification


1/
➠ From martyr to marketing moment

➝ A third century execution fixed February 14 in the calendar
↳ Repetition made it permanent

➝ Mid February rituals already normalized pairing
↳ Symbolism accelerated adoption

➝ Medieval poets reframed the date as romance
↳ Story changed behavior

Calendar created attention

Culture reassigned meaning


2/
➠ Printing made emotion scalable

➝ Rising literacy normalized written affection
↳ Emotion moved through paper

➝ Industrial printing reduced cost and increased reach
↳ Romance became repeatable

➝ Ornate cards turned feelings into products
↳ Inventory replaced intimacy

Standardization creates category

Category creates market


3/
➠ Corporations engineered expectation

➝ Heart shaped chocolate linked product with romance
↳ Packaging signaled love

➝ National card distribution normalized participation
↳ Not giving stood out

➝ Diamonds equaled permanence
↳ Price became proof

Demand was shaped

Obligation outperformed spontaneity


4/
➠ Media amplified pressure

➝ Income growth expanded spending power
↳ More joined

➝ Television broadcast idealized romance
↳ Comparison intensified

➝ Hollywood globalized expectations
↳ Pressure scaled

Private ritual became public signal


5/
➠ Algorithms optimized monetization

➝ Prix fixe menus increased margins
↳ Scarcity sold

➝ Bundled experiences raised spending
↳ Upselling normalized

➝ Social media amplified visibility
↳ Silence implied neglect

➝ One click purchasing removed friction
↳ Data timed emotion

Trigger

Campaign

Purchase

Signal


6/
➠ Why 27 billion is predictable

➝ Broad participation multiplies volume
↳ Spending compounds

➝ Stacked categories inflate totals
↳ Averages rise

➝ Luxury anchors raise baseline
↳ Expectations escalate

➝ Skipping feels risky
↳ Compliance wins

Seven centuries of reinforcement

One predictable outcome

Culturally enforced consumption ritual

What if fewer participated

Proof without price

Opt out

Choice

//

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//

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The Battle

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Jeremy Prasetyo

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The Battle

Marcello Duarte Vieira

Jeremy Prasetyo

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