To The Moon

Congratulations once again on @Joshhsh -Justin's successful trading endeavors! 🎉

The following are Justin's answers to questions from TigerBrokers' emails. We appreciate Justin's thoughtful and earnest sharing, and hope it will be helpful to our fellow investors.

If you are interested in being interviewed, please leave a comment below. If your answer is used and published, we will provide an incentive of SGD150.

Part 1: Getting Started — The Beginning of the Journey

My name is Justin. Professionally, I work in risk and governance — so naturally, I’ve always been fascinated by how uncertainty is measured, priced, and managed.

I’ve been investing for about 10 years now. What started as a simple desire to grow my savings slowly evolved into something much deeper — an obsession with understanding how markets reward vision, discipline, and courage.

I still remember watching $Tesla Motors(TSLA)$ in its early volatile years and $NVIDIA(NVDA)$ before AI became mainstream. They weren’t just stocks to me — they represented transformation.

$Tesla Motors(TSLA)$ was reimagining transportation. $NVIDIA(NVDA)$ was quietly building the infrastructure that would power the AI revolution.

That’s when I realized:

Markets don’t just reward fundamentals. They reward those who understand the future early — and manage risk wisely.

Part 2: The Turning Point

Like many traders, I had early wins. During strong tech momentum cycles, holding Tesla and Nvidia felt easy. Every breakout worked. Every dip recovered.

But then came a harsh correction when rates rose and liquidity tightened.

I watched profits shrink. I felt the psychological pressure. And that was my turning point.

That period taught me something powerful:

Conviction without risk management is just hope.

Great companies can still fall in difficult macro environments. From then on, I stopped chasing narratives and started respecting structure.

I learned to:

• Wait for confirmation

• Align with macro trends

• Size positions rationally (See my part 5 sharing)

• Protect downside first

That shift changed everything.

Part 3: My Most Memorable Wins--NVDA

One of my most rewarding trades was Nvidia during the AI acceleration phase.

It wasn’t just about buying the stock — it was about understanding the magnitude of what was happening. AI wasn’t hype. It was infrastructure. And Nvidia was at the center of it.

When the stock broke out of consolidation with strong earnings and institutional volume, I entered — not emotionally, but systematically.

Instead of going all-in, I scaled in.

Instead of guessing the top, I trailed stops.

And I let the trend do the heavy lifting.

With $Tesla Motors(TSLA)$ , some of my best trades came after long periods of doubt in the market. When sentiment flips in Tesla, it doesn’t move slowly — it explodes.

But I stopped trying to catch bottoms. I waited for base formation, for higher lows, for confirmation.

That patience made all the difference.

Part 4: The Most Valuable Lesson-Define Risk Clearly

My biggest mistake early on? Trying to be smarter than the market.

I tried buying Tesla aggressively during a macro downtrend because “it was cheap.”

But cheap stocks in a downtrend can always get cheaper.

That lesson humbled me.

Now I follow one rule:

If I can’t define my risk clearly, I don’t enter.

That discipline saved me countless times.

Part 5: My Trading Philosophy

I don’t trade every day. I wait.

Tesla and Nvidia move in waves. I position around those waves.

My style is primarily swing trading and trend-following in high-growth tech. I focus on:

• Macro alignment

• Technical breakouts

• Volume confirmation

• Clear invalidation levels

• Minimum 2:1 reward-to-risk

I risk only 1–2% per trade.

I never average down blindly.

I protect capital like it’s oxygen — because it is.

Part 6: Cash Boost Account (CBA) — Why It Matters

When you trade names like Tesla and Nvidia, speed matters.

These stocks can gap and run before most people react.

I opened a CBA account because idle cash is wasted opportunity. I wanted flexibility — immediate deployment when opportunity appears.

There were moments where Nvidia broke out strongly post-earnings. Having capital ready allowed me to execute instantly instead of missing momentum.

In fast markets, hesitation is expensive.

One improvement I would love to see is even faster cash turnaround time.

For active traders, capital velocity is edge. The faster funds can be freed and redeployed, the more efficiently we can manage opportunities.

Part 7: Performance & Mindset

My best annual return exceeded 40% during strong AI-driven cycles.

But what I’m more proud of isn’t the number.

• It’s surviving volatile cycles without blowing up.

• It’s maintaining controlled drawdowns.

• It’s compounding steadily instead of gambling aggressively.

Longevity in markets is the real achievement.

Part 8: Looking Ahead

I continue to believe in:

• AI infrastructure growth

• Autonomous systems

• Data center expansion

• Energy innovation

These aren’t short-term trades. They are structural transformations.

Tesla and Nvidia represent something bigger than price charts — they represent the future being built in real time.

But no matter how strong the story is, I always respect risk.

Part 9: Advice to Fellow Traders

If I could share three lessons:

• Protect your downside relentlessly

• Don’t fall in love with a stock — fall in love with your process

• Let winners run, but cut losses quickly

Volatility is not your enemy. Undisciplined risk is.

Trading changed the way I think — not just about money, but about patience, psychology, and resilience.

And that’s what makes the journey worthwhile.

Thank You,

Regards,

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