When I reflect on my journey in the U.S. stock market, I realize that my understanding of investing has changed far more through experience than through theory. At the beginning, I believed investing was primarily a technical process—study the financial statements, analyze the valuation, identify growth, and the correct decision would naturally follow. But over time, I learned that the market does not always behave in a purely rational way.

In reality, price is not only a reflection of business performance, but also a reflection of expectations, emotions, and collective investor psychology.
This realization changed how I now approach stocks like Nvidia.
From a fundamental perspective, Nvidia represents one of the strongest positions in the global technology ecosystem. Its dominance in GPU computing, its central role in AI infrastructure, and its exposure to long-term structural demand in data centers and machine learning all suggest a company deeply embedded in the next phase of technological evolution. From a purely business standpoint, the growth narrative is clear and powerful.
However, what I have personally learned is that understanding a company is not the same as understanding its stock behavior.
Even strong companies experience sharp volatility because markets continuously reprice expectations. When expectations become too high, even good results can lead to corrections. When fear dominates, even solid fundamentals can be ignored temporarily. This gap between fundamentals and sentiment is where most of my learning has come from.
One of my key personal insights is that I should not judge a stock only by financial performance. I now try to consider how investors are positioned emotionally toward that company. Are expectations realistic or overly optimistic? Is sentiment driven by long-term conviction or short-term excitement? This combination of fundamentals and sentiment analysis has become more important to me than focusing on either alone.
Another important shift in my thinking is that I no longer believe in blindly following external opinions. In earlier stages of my investing journey, I often relied heavily on market narratives, social sentiment, or the confidence of others. If a stock was widely discussed, I felt pressure to participate. If a well-known investor showed conviction, I tended to replicate that belief.
But I eventually realized that borrowed conviction is fragile.
It disappears during drawdowns.
When volatility arrives, only personal understanding remains.
That is why I have started developing my own investment approach rather than copying strategies. I do not strictly define myself as a value investor or growth investor or technical trader. Instead, I try to combine elements depending on the situation—fundamental strength for long-term confidence, and market behavior for timing awareness. More importantly, I try to ensure that any position I take is something I can psychologically withstand during downturns.
Because in my experience, the biggest failures in investing are not caused by incorrect analysis, but by emotional reactions under pressure.
Volatility is where theory breaks down and psychology takes over.
When prices fall sharply, fear becomes louder than logic. When prices rise quickly, confidence becomes stronger than caution. I have experienced both sides of this cycle. And I have learned that discipline is not a theoretical concept—it is a real-time emotional battle.
Staying disciplined during volatility is one of the hardest parts of investing for me personally. It is easy to be rational when the market is stable, but extremely difficult when portfolios fluctuate rapidly and external noise increases. At those moments, the real question is not “what should I do?” but “can I still think clearly under pressure?”
This is where long-term thinking becomes important.
With Nvidia specifically, my view is not based on short-term price movement, but on structural demand trends. AI adoption is not a temporary cycle in my opinion—it is a long-term transformation across industries. Computing demand, model complexity, and infrastructure requirements are increasing, not decreasing. Nvidia sits in the center of that demand structure.
But at the same time, I remain aware that no company grows in a straight line.
Competition will increase.
Valuations will fluctuate.
Market cycles will repeat.
Even the strongest narratives face corrections.
This is why I do not treat conviction as certainty. Instead, I treat it as probability combined with risk awareness. I try to stay open to new information while maintaining a structured view of the long-term trend.
Another personal realization I have had is that investing is not only about building wealth—it is also about understanding yourself. The market constantly exposes weaknesses in decision-making. It shows whether you are impulsive or patient, confident or emotional, disciplined or reactive.
Over time, I have learned that improving as an investor is less about predicting the market correctly and more about improving how I behave when the market behaves unpredictably.
This is why I focus more on process than outcomes. A correct decision can still lose money in the short term, and a poor decision can sometimes appear successful. But over time, consistent discipline and structured thinking matter more than isolated results.
When I look at my own progress, I still feel I am learning. I do not consider myself an expert, and I do not believe certainty exists in this field. What I do believe is that clarity improves with experience, and emotional control improves with exposure.
At this stage, my biggest question is not which stock will perform best in the next month or quarter. My question is how I can remain consistent in my thinking when conditions change constantly.
Because in the end, markets will always move.
But the real challenge is whether the investor remains stable while everything else does not.
💭 And this is something I genuinely want to reflect on with others:
From your perspective, what is more difficult in investing?
Is it staying disciplined during periods of high volatility, when emotions strongly influence decisions?
Or is it identifying the right opportunity at the right time, when uncertainty makes conviction difficult?
For me personally, both are challenging—but discipline becomes the real test when everything is moving against your expectations.

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