Skip to content
Lion's Investment Diary
JA / ZH / EN

Why Investing Seems Simple, Yet Very Few Win Long-Term

Background

During a discussion about investment methodology, someone raised a question: Investment operations seem very simple, so why are there so few people who truly win long-term? This dialogue starts from the apparent simplicity of investing and gradually explores human weaknesses, system building, and the essence of long-term survival.


Key Concepts

  • Tail Risk: The core risk type discussed in this article. It has extremely low probability of occurrence, but once it happens, it wipes out years of gains at once—the main reason long-term investors are eliminated
  • No-Reward Period: The key concept explaining why most people give up early. It refers to the chaotic phase before forming systematic cognition, where profits and losses are random
  • System: The foundation of long-term survival repeatedly emphasized in this article. It refers to a verifiable investment framework capable of producing positive expected value

1. Why Are There So Few Long-Term Winners?

Q: Why do many ordinary people feel that investment operations are actually quite simple, yet the probability of truly winning long-term is very low?

Response: Because the operations themselves are not complicated, and buying and selling behaviors are intuitive. But the difficulty of investing lies not in “what to do” but in “how to avoid making fatal mistakes over the long term.”

2. The Difficulty Isn’t Technical?

Q: So the difficulty isn’t at the technical level?

Response: Correct. The real difficulty is that investment results are directly tied to money, and humans naturally prefer immediate feedback and dislike uncertainty and volatility.

3. The Contradiction Between Volatility and Human Nature

Q: But the stock market itself is volatile. Isn’t that a contradiction?

Response: Exactly. Investing requires seeing through volatility to structure and trends, but human instinct gets led around by ups and downs.

4. Why Give Up So Quickly?

Q: Why do many people give up soon after starting to invest?

Response: Because before forming systematic cognition, one experiences a “no-reward period.” During this time, real capital is invested, real losses are suffered, but no stable returns are visible.

5. The Nature of the No-Reward Period

Q: What is the no-reward period essentially?

Response: It’s a chaotic period of transitioning from emotional reactions to cognitive understanding. Without a system, profits and losses are random, appearing like continuous failure.

6. The Problem with Emotional Trading

Q: What’s the problem if you only rely on emotional trading?

Response: It’s essentially no different from gambling. Rewards are occasional, but losses keep occurring, and risk is often underestimated.

7. The Temptation of Short-Term Trading

Q: Why does “short-term trading” sometimes seem more effective?

Response: Because short-term trading is betting on volatility. As long as the market is favorable, it’s easy to get positive feedback.

8. Is Relying Only on Experience Safer?

Q: Is it safer to persist long-term without building a system, relying only on experience?

Response: This is actually betting that you “won’t make mistakes long-term.” This approach is more hidden, but once a mistake is made, it’s often fatal.

9. Tail Risk

Q: Is this risk what’s commonly called “tail risk”?

Response: Yes. Tail risk refers to: the probability of occurrence is very low, but once it occurs, it wipes out years of past gains in one stroke.

10. The Hidden Danger of Heavy Positions

Q: How should high-frequency, heavy-position trading in a bull market be viewed?

Response: This approach, when winning, reinforces an unsustainable strategy. It trades high tail risk for short-term high reward feelings.

11. Winning Can Be a Bad Thing?

Q: So winning can actually be a bad thing?

Response: Yes. Because the reward mechanism leads people to continuously increase position size and frequency until one mistake occurs.

12. Why Choose the Wrong Path?

Q: Why are many people willing to take this path?

Response: Because the correct investment approach itself lacks appeal: delayed returns, boring process, and long-term it looks like “nothing is happening.”

13. The Peculiarity of A-Shares

Q: If using A-shares as an example, is this more obvious?

Response: Yes. A-shares have stronger volatility and speculation, higher noise density, and the investment main line is harder to identify.

14. Impact on Investment Systems

Q: What impact does this have on investment systems?

Response: System verification becomes stricter and more easily disturbed by noise. When no effect is seen for a period, it actually induces continuous system revision.

15. The System Can’t Be Verified?

Q: So it’s possible that the system isn’t wrong, but that it can’t be verified?

Response: Yes. The system hasn’t reached the statistical verification stage before it’s forced to change by noise.

16. The Problem with Chasing Hot Topics

Q: What about chasing hot topics? It seems effective short-term.

Response: Chasing hot topics extracts emotional volatility, not structural returns. Short-term gains are possible, but it violates long-term systems and is hard to maintain positive expectancy.

17. The Source of Long-Term Positive Returns

Q: So where do long-term positive returns come from?

Response: From the consistency of system, target, and time—not from being correct on a single judgment.

18. The Key to Long-Term Survival

Q: Ultimately, if you want to survive long-term in the stock market, what’s most important?

Response: Not how much you made at one time, but whether you can lock in gains and control losses.

19. Paper Profits Don’t Belong to You?

Q: So paper profits don’t necessarily belong to you?

Response: Correct. Only assets that can be retained in the worst-case scenario truly belong to you.

20. The True Winner

Q: What kind of person is a true winner?

Response: Those who can survive multiple cycles and avoid being eliminated by a single mistake are the long-term winners.



Previous Post
A Conversation About Vim/Neovim: Why It's Hard to Learn Yet Worth Learning
Next Post
The True Revolutionary Meaning of the AI Era: From Efficiency Tool to Cognitive Infrastructure