Newbee2025

$iShares Semiconductor ETF(SOXX.US)

Background: SOXX tracks major semiconductor companies, benefiting from AI chip demand and data-centre spending. But after the massive rally, profit-taking and valuation concerns can trigger sharp pullbacks.

My trade: Bought at an average cost of US$489.

Takeaway: Long-term still bullish lah, as AI demand remains a key growth driver. Current price is around US$478, slightly below my cost. I would hold for the long term and avoid panic selling. If adding, do it in small batches only — semiconductor stocks can be very volatile one.

$Palantir Tech(PLTR.US)

Background: PLTR recently reported 93% YoY revenue growth and raised its FY2026 revenue growth guidance to 82%. AI demand remains strong, but valuation is very high, so volatility can be fierce lah.

My trade: Bought at an average cost of US$128.

Takeaway: Long-term still bullish lah. At my cost, I would hold and not panic sell. But don’t chase or average up blindly — wait for the next earnings report on 2 Nov to see whether growth can justify the valuation.

$SoFi Tech(SOFI.US)

Background:

SoFi’s business still growing quite fast lah. Q2 2026 revenue increased 40% YoY to a record US$1.2B, with members growing 35%. But the share price has dropped about 42% this year because investors worry about profitability, rising interest rates and loan-related risks. Q3 results are due on 27 Oct 2026.

My trade: Bought at an average cost of US$20.342.

Takeaway:

I would hold for now, but don’t average down yet. At around US$15, I'm sitting on roughly a 26% paper loss. The business is still growing, but the market wants to see profit growth catch up with revenue. Some analysts are bullish, while others remain bearish ahead of earnings.

$Sembcorp Ind(U96.SG)

Background: Asian equities are generally softer amid higher yields and concerns over rising corporate debt. That's why all dropping today.

My trade: Bought at an average cost of $5.752.

Takeaway: Can hold lah. The entry is quite reasonable, and I wouldn’t rush to sell just because earnings dipped. Alinta + Singapore power demand + new capacity should support the longer-term story.

Won't chase aggressively at much higher prices. Will wait for $6.50–7.00 range before considering taking profit.

$Broadcom(AVGO.US)

Background:

AVGO’s fundamentals are still excellent: Q3 revenue +86% YoY, AI semiconductor revenue +221%, and Q4 revenue guidance +93%. Management also sees AI revenue reaching $115B in FY2027.

My trade: Bought at an average cost of $354.

Takeaway:

Hold for now, but sell on strength. My $354 entry is good, but AVGO is already around $363 and the stock has a lot of AI expectations priced in. If chip makers' stock cannot make it, Semicon cannot make it, the index will never make it.

$Nike(NKE.US)

Background:

Nike’s turnaround is still weak: Q1 FY27 revenue fell 4%, China sales fell 26%, and Nike now expects FY27 revenue to decline high-single digits.

My trade:

Bought at an average cost of $57.57.

Takeaway:

Sell / exit on strength. I wouldn’t keep holding just to recover the $57.57 cost. The turnaround may take until FY28, and there are better places for your capital. will sell it off when the price rebounds a little bit. so disappointing

$Alphabet(GOOGL.US)

Background:

Alphabet has strong growth from Search, Google Cloud and AI/Gemini. Cloud is growing rapidly, but very high AI capex is the main risk.

My trade:

Bought at an average cost of $345.

Takeaway:

Hold. $345 is a reasonable long-term entry. Watch Cloud growth, Search resilience and AI capex/returns. Will buy more if the price drops below 320.

$Sembcorp Ind(U96.SG)

Background:

Sembcorp’s earnings are supported by Singapore power demand, data-centre growth and its expanded renewable-energy business after acquiring Alinta Energy. Near-term earnings may improve in 2H2026.

My trade: Bought at an average cost of S$5.72

Takeaway:

My entry is a bit high. I’d hold for 2–3 years, with S$6.50–7.00 as a potential medium-term range if earnings and Alinta integration progress well. Main risks are leverage and weaker power/renewables margins.

$Microsoft(MSFT.US)

Background: Microsoft rose 4% last Friday and crashed through the resistance lines finally.

My trade: At $397, I'm not buying Microsoft as a cheap value stock. I'm paying for continued Azure/AI growth and the strength of the Microsoft 365 ecosystem.

Takeaway: I would hold the $397 position and let it compound.

The entry is good enough that I wouldn't be eager to sell simply because MSFT has already recovered. The target price is $600.

$Meta Platforms(META.US)

Context: Muse, Meta's AI assistant launched on Sept. 8. Its early adoption has been strong, and investors are increasingly looking at AI as a potential new revenue stream rather than simply a cost. Reuters reported that Muse had reached 2.8M downloads in its first 12 days.

My trade: I regret didn't buy more when the price was low.

Takeaway: Do buy good companies when they are low and keep on holding. Though Muse could be caught up by other AIs quickly.

$NVIDIA(NVDA.US)

Background: Nvidia guided Q3 revenue to US$108B ±2%, and management gave an initial indication that FY2028 revenue could grow around 70% YoY. Management also said supply is expected to remain a bottleneck through FY2028, which suggests demand is still exceeding available capacity.

My trade: Don't judge Nvidia by the share price alone. Judge whether earnings growth is still supporting the valuation.

At $215, I have considerably more margin for error than someone buying after a major AI-driven rally.

Takeaway: HOLD, don't panic over volatility, and don't rush to take profit. The latest numbers still show a company growing at an extraordinary rate, although the margin compression and enormous expectations mean future returns are unlikely to be as effortless as they were during the earlier AI boom.

$Meta Platforms(META.US)

Background: The biggest issue for investors is AI capex. Meta now expects $130–145B of 2026 capex.

My trade: $550 entry is actually relatively comfortable because it's already above the cost and Meta's underlying advertising engine remains strong.

Takeaway: I would HOLD META. The biggest risk isn't that Meta's core business suddenly disappears. It's that AI spending stays enormous without generating enough incremental revenue/profit, causing margins and free cash flow to remain depressed. Q2 already demonstrated this risk.

$Nike(NKE.US)

Background:

Nike is currently in a deep turnaround phase rather than a normal growth phase. FY2026 revenue fell about 2% to $46.4B, and the stock closed at $35.78 on Sept. 16, 2026, more than 50% below its 52-week high.

My trade:

suffering from about 40% loss, I wouldn't average down aggressively yet. My entry isn't catastrophic for a company like Nike because the brand, global distribution and balance sheet remain substantial assets—but the problem is that the turnaround may take several years, and the stock can remain depressed while earnings recover.

Takeaway:

I would HOLD the existing Nike shares, but I would not add heavily yet.

The $57.57 cost basis is high relative to today's price, but selling at ~$36 would crystallize a very large loss just as Nike is attempting a turnaround.