Trade Showcase: Trade, Show & Earn Rewards!

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Uber Technologies Inc. $Uber Tech(UBER.US) is currently trading at $69.42, floating near its 52-week low of $65.41 and roughly 30% below its all-time high of $100.10. The market is in an intense debate regarding Uber’s long-term viability as an autonomous vehicle (AV) ride marketplace. Fears that vertically integrated robotaxi networks (like Alphabet’s Waymo or Tesla’s upcoming network) will bypass Uber entirely have heavily weighed on the stock.

However, the underlying financial fundamentals tell a completely different story. Wall Street analysts remain highly bullish, with firms like Evercore ISI predicting the stock could double based on the following catalyst framework:

The Aggregator Flywheel: Uber continues to act as the primary demand and orchestration layer. Management is leveraging this scale through major enterprise wins, such as the national expansion of Costco delivery on Uber Eats.

High-Margin Ecosystem: The Uber One loyalty framework has achieved over 50 million members, capturing half of all gross bookings.

My trade

Hypothesis: The market has irrationally priced in a premature “AV death sentence” for Uber. In reality, AV hardware developers will still require Uber’s immense 200M+ global user network to maximize capacity utilization. The stock is coiled for a sharp valuation rerating as imminent share buybacks resume and technical support holds.

Strategy: Scale into a Core Long Position utilizing structural support levels. I will accumulate shares between $66.00 – $69.50 (buying near the structural 52-week support baseline).

Takeaway

The central takeaway is that network density and consumer demand aggregation trump proprietary hardware in platform economics.While the market obsesses over who owns the robotaxi technology, Uber owns the customer relationship. Autonomous fleets will need a marketplace to source rides, and building a global demand pool from scratch is an extraordinarily capital-intensive endeavor.

$NVIDIA(NVDA.US)

Context: NVIDIA caught my attention as AI adoption continues to drive demand for advanced computing and data-centre infrastructure.

My trade: Opened a position to gain exposure to the longer-term AI trend and NVIDIA’s role in providing the chips and technology behind it.

Takeaway: I’ll pay more attention to valuation and expectations around future growth before adding to the position.

[Orders / Holdings card]

$NVIDIA(NVDA.US)Context: NVIDIA has seen some volatility recently, and my position has given back part of its earlier gains, but it remains comfortably in profit.

My trade: I’m still holding my NVIDIA position with an average cost of 208.582. At the current market price of 225.000, I’m up 7.26%. I decided to continue holding rather than react to the recent price swings, as I’m comfortable giving the position more time.

Takeaway: Not every pullback requires immediate action. Staying patient while keeping an eye on risk can be just as important as choosing a good entry. @Captain's Treasure

$Tesla(TSLA.US)

Context: The US-China meeting adds another variable for Tesla investors. Markets can react strongly to headlines, but the first move doesn’t always tell us much about the longer-term business.

My trade: Staying with the existing position and watching how the market digests the meeting before deciding whether any weakness deserves additional capital.

Takeaway: Reacting fastest isn’t always an advantage. Separating headline volatility from a genuine thesis change matters more.

$Applied Optoelectronics(AAOI.US)

Post 5 Episode 23

Context: What has strengthened my AAOI thesis is that high-speed optics demand is now translating into actual production pressure. In Q2, revenue reached a record $191.9 million, 800G volumes more than doubled sequentially, and management said demand for 800G and 1.6T products is expected to outpace production capacity through mid-2027.

My trade: That changes how I look at AAOI. The question is increasingly less about whether hyperscalers need faster optical links and more about whether AAOI can execute its manufacturing ramp. The company is targeting roughly 650,000 units of monthly 800G/1.6T capacity by year-end, versus capacity approaching 200,000 currently. Its Q3 revenue guidance of $255–290 million also points to another sizeable step-up if execution follows through.

Takeaway: Growth stories become more compelling when the constraint moves from “Can we find customers?” to “How quickly can we build enough product?” For AAOI, the next chapter may be less about proving the AI-optics opportunity exists — and more about executing fast enough to capture it.

@Captain's Treasure

$GE Vernova(GEV.US)

Post 5 of Episode 23

Context: My original interest in GE Vernova was simple: AI needs enormous amounts of electricity, and power is becoming one of the biggest constraints on data-centre growth. What has strengthened the thesis is that this is now showing up in the numbers. GEV ended Q2 with a $176 billion backlog, while gas-power equipment backlog and slot reservations reached 116 GW. Even more striking, data-centre orders within Electrification exceeded $5 billion in the first half of 2026 — already more than double the total for all of 2025.

My trade: I increasingly see GEV not simply as an AI-adjacent power play, but as a company monetising scarcity across both generation and the grid. Gas turbines address the need for dependable new power, while its electrification businesses help move and transform that electricity. The Prolec GE acquisition adds further exposure to the transformer and grid-equipment side of that bottleneck.

Takeaway: A good thematic investment becomes more interesting when the story starts turning into orders. For GEV, AI’s power problem is no longer just a future forecast — increasingly, it is becoming backlog.

@Captain's Treasure

$Lion-phillip S-Reit(CLR.SG)

Context:

I noticed that S-REIT prices had declined recently, and I saw the price weakness as an opportunity to add to my existing position. Rather than trying to time the exact bottom, I wanted to use the decline to gradually lower my average entry price through dollar-cost averaging. My thinking was that the underlying investment thesis had not changed significantly, so the lower price provided an opportunity to build my position at a more attractive valuation. I was also comfortable taking a longer-term view and accepting that prices could remain volatile in the short term.

My trade:

I added to my S-REIT position after the price dropped, as I wanted to DCA and increase my exposure at a lower price. I did not deploy too much capital at once because I recognised that the price could continue falling and I wanted to keep some flexibility to add again later. My main reason for adding was to reduce my average cost while maintaining my longer-term exposure to the sector. I was also still attracted to the potential distribution income and the possibility of capital appreciation if market conditions improved over time.

Takeaway:

Next time, I would set clearer price levels and position sizes for each DCA entry beforehand, rather than deciding to add mainly because the price had fallen.

$Mapletree Log Tr(M44U.SG)

Context: Industrial logistics REITs are experiencing persistent price pullbacks amid lingering macro rate uncertainties, weighing on short-term market valuation despite stable core operational performance.

My trade: Holding shares of Mapletree Log Tr (M44U) at an average cost of 1.200 SGD, currently tracking an unrealized drawdown of -9.16% as market price hovers at 1.090 SGD.

Takeaway: Next time, I will enforce strict stop-loss rules or phase entries across multiple support zones to reduce cost basis during sector-wide pullbacks.

$Direxion Semicon Bull 3X(SOXL.US)

🔎 Context:

Semiconductor stocks have been gaining momentum again, supported by renewed interest in AI related chip demand and the broader AI infrastructure story.

I’ve been watching this closely because SOXL amplifies these moves. It is designed to deliver 3x the daily performance of its underlying semiconductor index, so both gains and losses can move quickly.

💭 My Trade:

Seeing the position move into positive territory is encouraging, but I don’t want the current gain to become the reason for holding it. What matters more is whether the semiconductor cycle continues to support the broader AI investment story.

There is still a lot of optimism around AI infrastructure and chip demand, but the market has also become much more sensitive to expectations. When expectations are high, even good results can sometimes lead to a very different reaction from what investors expect.

That is why I’m trying to look beyond the recent price action. I want to see whether the underlying demand and industry momentum continue to support the move, rather than simply assuming that a strong run will continue.

🧠 My Takeaway:

This position has reminded me that managing a trade feels different once it moves in your favor.

When a position is down, I ask whether the original thesis is still valid. When it is up, I have another question to ask: has anything actually changed, or am I simply more confident because the P/L is green?

That is something I’m trying to be more conscious of with SOXL.

For now, I’m comfortable holding and watching how the semiconductor sector and AI investment cycle develop. I’m not trying to predict every short term move. I’d rather keep reviewing the position and adjust my thinking when the facts change.

Sharing this as my personal trading experience and reflection. This is not investment advice or a recommendation to buy or sell SOXL.

Amazon’s stock remains a Strong Buy consensus choice on Wall Street, currently trading around $253.56 to $258.45 following its recent all-time high of $287.20 hit in August 2026. Driven by an annualized revenue run rate surpassing $775 billion and record operating profit margins reaching 12.68%, the company has successfully reversed declining worker productivity through robust AI implementations. Despite massive projected 2026 capital expenditures of $220 billion, institutional options flow signals a healthy, calculated optimism for the company’s near-term trajectory.

Context

Financial Performance & Valuation: Amazon’s core segments (AWS, e-commerce, and high-margin advertising) are firing on all cylinders. Wall Street analysts maintain an average 12-month target price of $328.22 to $333.89, indicating an estimated 31% upside. Morningstar pegs its fair value at $260, rendering current trading levels moderately undervalued.

The AWS & AI Growth Engine: AWS continues to dictate Amazon’s valuation premium. Cloud segment revenue has accelerated past 20% YoY growth ($33B+ per quarter) with operating margins scaling between 35% and 37%. Demand for proprietary Frontier AI models and cloud computing capacity vastly outstrips current supply.

My trade

Strategy: Bull Call

Execution:Buy $320 Call Options (320C) Sell $370 Call Options (370C)

Expiration Horizon: August 2026

Rationale: Rather than betting on an aggressive, volatile breakout, this defined-risk vertical spread leverages institutional “smart money” positioning. It capitalizes on a steady, moderate upside toward the $328+ analyst price targets while mitigating the premium decay risks associated with massive capital expenditures ($220B) entering the back half of the year.

Takeaway

Amazon has evolved from an e-commerce giant into an efficient infrastructure and AI powerhouse. While retail handles the consumer volume, AWS and automated AI workflows provide the true profitability engine.

$CapLand Ascendas REIT(A17U.SG)

Ascendas Hits 52-Week Low - And I am Holding Tight!😁 NEVER GIVE UP 😆

Ascendas has touched its 52-week low at S$2.260 😮

My position is down -8.16% now from my average price of S$2.461. Honestly, I am not in fear.

No paper hands here 🙅‍♂️ I am staying fully convinced and actually looking to buy more if it keeps dipping! ( waiting for payday 😆).

Strong fundamentals, solid yield ~6.6%, and a long-term horizon - that’s what matters.

Short-term noise doesn’t change the real value. 💡

Staying the course. Who’s with me? 🤣

Fear don’t buy. Buy don’t scare 😂

$Corning(GLW.US)is positioning as a primary supplier of optical infrastructure powering the AI boom. Massive long-term deals have been signed with telecommunications and big tech, with stable recurring cashflow. Currently MA50 is holding on, may change my direction in the short term if the MA50 and subsequent nearby MA200 does not hold

$ISDN(I07.SG)

Context: The stock broke below its support of 0.62 on 14 Sep. This was due to its second largest shareholder Novo Tellus offloading 4,886,200 shares at 0.65939. In my past experience, anytime a significant shareholder disposes of shares, the share price is bound to suffer for a while especially when this is a small cap. It is now trading at the bottom limit of the Bollinger Band. Will it continue to trend down and cover the gap below 0.55?

My Trade: Considering whether to average down or cut loss.

Takeaway: Significant shareholder disposing of shares (taking profit?) has caused the price to drop to 0.57.

$XIAOMI-W(01810.HK)

💡 Xiaomi - Deep Value, Long-Term Conviction

📖 My Context

I have been watching Xiaomi since last year. After doing my due diligence on its finances, I am confident that this is a solid company with strong fundamentals.

As of latest annual AFS FY23 -25 , Xiaomi has delivered three straight years of positive operating and free cash flow, plus annual ROE consistently above 10%.

From its peak of HKD 61.45 on 27 June 2025, the share price has dropped 58%, closing today at HKD 26.58.

📈 My Trade

I started my accumulation early March this year and now my average cost is at HKD 31.023. I believe the current price is deeply undervalued. Right now it trades at HKD 26.58, down 14.32%. I am not worried because I know that this is just short-term noise. My focus is firmly on Xiaomi’s long-term growth.

💡 My Takeaway

Buying something just because it looks cheap really tests your patience. Strong fundamentals carry you over time but timing matters too. I am not listening to anyone saying the Hong Kong market is uninvestable. I trust my own research.

Let’s go Xiaomi 🚀

$NVIDIA(NVDA.US)

Context: despite being the most valuable company in this world, the valuation of Nvidia is dropping. The forward PE is now just only 17x compare to AMD which is 40x. The low valuation is due to:

1. More in house GPU being developed by the like of Meta and Alphabet. Both companies has successfully launched their own AI chips.

2. The rising cost of memory chip is squeezing Nvidia profit margin by more than 3%.

My trade: observe for any sign of deteriorating profit before selling

Takeaway: Jensen Huang claim that this Nvidia is "incredibly misunderstood" but we prefer Nvidia earnings report to clear this misunderstanding. $Intel(INTC.US)$Netflix(NFLX.US)

$CapLand India T(CY6U.SG)

Context: REIT prices remain subdued after the Fed hike, which makes some valuations increasingly interesting. But low prices alone aren’t enough when another rate hike remains possible.

My trade: Continuing to monitor CLINT while queueing at levels where the yield and valuation become more attractive, rather than chasing a rebound.

Takeaway: Buying cheap is good; keeping enough ammunition to buy cheaper can be even better.

$GLD SG(GSD.SG)

Post 4 Episode 23

Context: One advantage of holding gold through the SGD counter is simplicity. I can add or reduce my gold allocation directly in Singapore dollars, without first converting capital into USD. For a portfolio where much of my growth exposure is already USD-denominated, that makes GSD a convenient way to keep part of my defensive allocation operationally in SGD.

My trade: I use GSD for essentially the same underlying gold exposure as GLD, but with the convenience of SGD trading and settlement. That can make rebalancing easier and potentially avoids unnecessary FX-conversion costs depending on the broker. Importantly, though, the SGD counter itself does not remove currency effects — its price should broadly reflect the same underlying shares translated through the prevailing exchange rate.

Takeaway: Sometimes the advantage is not a different investment, but a better way of owning it. GSD gives me gold exposure while letting me deploy and rebalance SGD directly — useful when I already have plenty of USD exposure elsewhere in the portfolio.

@Captain's Treasure

$NVIDIA(NVDA.US)

Context: "At some point demand and supply will be inverted again,” Jensen Huang said on The Ezra Klein Show. “That’s just the nature of markets.” Huang Sees a ‘Period of Digestion’, where markets would slow and enter a “period of digestion,” potentially lasting six months, nine months or a year. However, the distinction matters. Huang isn’t arguing that the AI investment cycle can continue indefinitely. He’s arguing that the industry remains years away from building more capacity than customers need. For now, spending continues to accelerate.

My Trade: Nvidia is one of the stocks I can invest in and just close the app to sleep soundly. The organisational structure is intact, with clear & consistent leadership and progress over the years. I am holding on for now.

Takeaway: Nvidia reported second-quarter revenue of $96.2 billion, up 106% from a year earlier, while Data Center revenue surged 117% to $89 billion. If anything, the AI spending and revenue is far from over. @Captain's Treasure

$Alphabet(GOOGL.US)Google has been rejected around 360 several times now, and each attempt has ended with a sharp pullback. That level is starting to look like a meaningful ceiling rather than just another resistance.

I’m not buying here. The valuation still doesn’t feel attractive enough for me, so I’d rather wait for Gemini 4 to prove its execution or a much better entry around 250–300.

I’d rather miss the first rebound than force a trade. Patience is also a position.

@Captain's Treasure

$Valuetronics(BN2.SG)

Context:

Valuetronics was one of those stocks I came across and thought, “This one is actually quite interesting.” 😆 It’s not the kind of stock that gets all the attention, but I like the business and the fact that it has a more established track record.

My trade:

I’m holding my position for now. The stock has already moved up from where I bought it, but I’m not in a rush to take profit. I want to give it some time and see if the company can continue delivering.

Takeaway:

Sometimes the quieter stocks surprise you. I’ll keep this one in the portfolio and let it play out rather than trying to trade every little movement. 📈

$Tesla(TSLA.US)Tesla’s latest news today, September 24, 2026, is centered on its technology and autonomous-driving plans. Tesla is holding a Semi-focused event today, while its FSD system is facing fresh scrutiny after a Belgian road-safety group reported that it frequently misread speed limits during testing.

At the same time, Tesla’s FSD received provisional approval in the Czech Republic earlier this week, supporting its continued expansion in Europe. The company is also investing heavily in AI infrastructure, data centers and manufacturing capacity, with planned 2026 capital spending above $25 billion.

Overall, Tesla remains focused on EVs, FSD, Robotaxi, AI and energy, with the upcoming product and technology announcements likely to remain important topics for the company.

$SpaceX(SPCX.US)Context: SpaceX has shown some improvement recently, with the price recovering from the lower levels I saw in my previous update.

My trade: I’m continuing to hold my SpaceX position without making any changes. The market price is now around 148.640, and I’m comfortable staying patient while watching how the position develops. I don’t want to overreact to every short-term price movement.

Takeaway: This position reminds me that patience is part of investing too. Instead of constantly trading, sometimes giving a position enough time to develop can be the better approach. @Captain's Treasure

$NU Holdings(NU.US)

Context: Looking at long-term performance, Nu Bank has a fantastic opportunity to grow its revenue and scale its highly efficient financial services offering. Its monthly cost to serve active customers, which includes technology and customer support, was just $1 and has remained close to this level for years. Its monthly revenue per active customer is $17.10 and growing 22% year over year. In Brazil, Nu Bank now has a ton of existing customers but still has plenty of room to grow revenue per customer by adding new spending, savings, and lending solutions. In Mexico, there is a massive opportunity to grow total customers while simultaneously bringing its existing product suite to the country to drive revenue-per-customer growth.

My Trade: NU looks relatively cheap at current price levels based on its improving earnings. However, I do see a possibility of the stock sliding back to $12, which could be an even more attractive price to add.

Takeaway: There is also an opportunity to grow in U.S., and perhaps in Latin America. This should keep Nu Holdings' earnings growing for years to come, which is why the stock looks attractive at its current market cap of $68 billion. @Captain's Treasure