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01-02

$Tiger Brokers(TIGR)$ What trade taught me the most in 2025


The most instructive trade was staying invested in quality AI infrastructure names despite repeated macro scares. Tariff headlines, rate volatility and valuation anxiety created frequent pullbacks, yet fundamentals around compute demand, data centre utilisation and software monetisation continued to compound. The lesson was clear: when a structural cycle is intact, risk management matters more than perfect timing, and exiting too early can be more costly than enduring volatility.


How I review my 2025 performance


I would assess 2025 as a year of disciplined participation rather than aggressive optimisation. Returns were driven by thematic conviction in AI, selective exposure to megacaps, and diversification through gold as a macro hedge. Mistakes mainly came from over-reacting to short-term narratives and under-sizing high-conviction ideas early in the year. Overall, the outcome reinforced a core principle: process quality and emotional control matter more than any single trade, especially in markets shaped by both political noise and genuine technological transformation.

2025 Recap | Sum Up Your 2025 Investment Journey In One Sentence!
2025 came to a close with global markets swinging between political shocks and technological breakthroughs. Trump’s return reignited policy uncertainty, AI competition reshaped capital allocation, gold rewrote history, and megacaps expanded the limits of imagination. Markets trembled under tariff threats — yet celebrated amid an unprecedented computing boom. What trade taught you the most this year? How do you review your 2025 performance?
Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Comments

  • ClarenceNehemiah
    01-04
    ClarenceNehemiah
    Solid points on AI fundamentals! Discipline pays off big time. [强]
  • RgSFO
    01-03
    RgSFO
    Well said.
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