To The Moon

Meet @Yongjian Zhang — a rising voice in the Tiger Community. A home textiles entrepreneur based in Singapore, he only started trading US stocks this March — no finance background, no investing books, no formal training. Instead, he built his own edge from scratch: running ChatGPT and Claude side by side to read the market, and anchoring almost everything to one conviction — semiconductors. A few months in, his net asset return is already north of 100%.

👀 Stick around until the end for an exclusive interview with @Yongjian Zhang—plus your chance to score extra Tiger Coins and get featured next!

Briefly introduce yourself and walk us through how you got started.

Hi Tiger Community! I run a home textiles business here in Singapore — I sell across Shopee, Lazada, and TikTok, plus some offline channels. I've been in Singapore since 2011, originally from Jiangxi. Investing wasn't really part of my life until this March, when I decided to properly start trading US stocks. Before that, I'd only ever touched A-shares casually.

I didn't come in with any formal training, and I haven't read the classic investing books — honestly, I don't think they'd help much in this market anymore. Instead, I lean on AI. I run ChatGPT and Claude side by side to help me read a stock's fundamentals and the broader market mood. It's been my substitute for years of market experience I don't have.

What's been your most successful or memorable trading experience so far?

May and June, hands down. Sentiment across the market was running really hot, and I had some standout days — over 10% in a single day at one point. That stretch is a big part of why my return is where it is now, just a few months in.

May 2026 — a standout month, +46.58%

One of my AMD trades — +20.68%

July was a different story, though, and I'll be upfront about it — I gave back a chunk of those gains. Looking back, it wasn't that my read on the market was wrong, it's that I held onto positions longer than I should have. That's the piece I'm still working on.

How do you pick stocks, and how do you manage risk?

I don't really look at valuations before I trade — no P/E ratios, no traditional screening. Instead, I watch how the Japanese and Korean markets open, since that usually gives me an early read on sentiment before US semiconductor names move. I trade with that sentiment rather than against it.

On sector choice, I've stayed narrow and focused: semiconductor storage names and $Advanced Micro Devices(AMD)$, almost exclusively. I actually stay away from something like NVIDIA — it's a great company, but at its size I don't think there's much room left for the kind of outsized moves I'm looking for. $Advanced Micro Devices(AMD)$ and storage names give me more volatility to work with, both for holding and for shorter trades.

Walk us through your current positioning and what's next.

My approach splits into two buckets. My own cash goes into mid-to-long-term core positions in semiconductor storage and $Advanced Micro Devices(AMD)$ — that's where I'm playing the bigger industry trend. Leveraged funds are reserved purely for short-term trades, where I'm trying to capture the day-to-day swings.

Cumulative P&L on my AMD position, March–July 2026

I've also just started learning to short — recently bought into an inverse ETF because I think the semiconductor sector is close to a bottom. My expectation is a short-term rebound first, with more downside likely after that plays out.

What's your outlook for H2 2026?

Still semiconductor storage — I haven't wavered on that. I think the recent pullback is a normal correction rather than the start of something worse, and I expect the sector to find its footing and head higher again in the back half of the year.

How disciplined are you with entries and exits, day to day?

Honestly, this is where I'm still a work in progress, and I'd rather be upfront about that than pretend otherwise. My July drawdown came down to exactly this — not sticking to a clear stop-loss or take-profit point, and holding on when I probably should have closed the position.

A few things I'm trying to hold myself to now: setting a stop-loss/take-profit range of around 5–10% instead of trading on gut feel; stepping back or going short instead of forcing trades when the data stops working in a falling market; staying flexible on direction rather than locking into one view; and just trading less overall — chasing fewer, clearer setups instead of frequent low-conviction ones.

Who or what has shaped your approach the most?

Honestly, it's been AI. I didn't have a mentor showing me the ropes — I built that role myself using ChatGPT and Claude, using them to analyze capital flow, trading data, and sector sentiment side by side. It's not perfect, and it doesn't replace discipline, but it's given me a way to compete without years of experience behind me.

Any advice for other Tiger users?

“Traditional investment logic doesn't always keep up with how fast the market moves now. New traders should be open to using tools to read the market, rather than relying only on the old playbooks.”

“Market analysis is just the starting point. Real stop-loss discipline and a level head are what actually make the difference over time. A good trader has to be comfortable going long, going short, or staying out entirely.”

Thanks @Yongjian Zhang for the honest sharing! Follow along as he keeps refining his approach to semiconductors and trading discipline.

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