I just saw a tweet from a stock blogger on X:

Blogger: I'd like to ask everyone, how did you stop-loss or sell during this downturn? Did you look at the drop percentage, technical levels, changes in logic, or your position's tolerance? I'd like to hear everyone's detailed thought process.

I tried replying, typing it out word by word, and sharing it with everyone here.

This wave hasn't affected me too much; I'm making stable profits,

Sharing my thoughts and operations.

1. No leverage. This is the first principle.

2. Buy stocks that you are willing to hold for the long term.

3. Usually, these stocks are number one or number three in their respective fields.

4. Buy hedging stocks. For example, I hold $NVIDIA(NVDA.US) $Tesla(TSLA.US) $SK Hynix(SKHY.US), as well as $Alphabet - C(GOOG.US) and $Meta, and $GLD.

5. Use Sell Put strategies to acquire shares. For example, I acquired $Circle(CRCL.US) in this wave, and previously acquired $Robinhood(HOOD.US).

6. Keep cash reserves and allocate cash as one of the positions. For instance, without leverage and keeping cash reserves, I acquired $Marvell Tech(MRVL.US), $IREN(IREN.US), and $SK Hynix(SKHY.US) in this wave.

7. Do daily research. I almost update a long-form article on AI infrastructure every day, continuously tracking the targets I follow. It's not for traffic, but simply for the sake of research itself. Research serves investment, which is the most important thing. I also share these articles on X and other platforms.

8. Watch the market and develop a sense for stocks, while simultaneously looking at the historical drawdowns of target stocks to understand if the target "allows you to sleep well."

9. Gradually build your own trading system, using discipline rather than emotion for high-selling and low-buying.

10. Write notes and communicate. Deeply perceive changes using AI yourself.

Treat every investment transaction as an opportunity for personal growth.

Let's encourage each other.

Panda Principal Ming

$SK Hynix(SKHY.US)$Micron Tech(MU.US)$NVIDIA(NVDA.US)