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$Coreweave(CRWV.US)

Coreweave presented with a remarkable 3Q earnings, revenue was up 168% YOY. However its debt is at US$47 billion. Management has$NVIDIA(NVDA.US)$Intel(INTC.US)$Netflix(NFLX.US) announced to slowing abandoning high interest unsecured bonds and start embracing lower interest asset back financing, right move!

$Arista Networks(ANET.US)

Context:

AI's growth extends beyond GPUs and chipmakers. As AI workloads expand, high-performance networking becomes increasingly important.

ANET caught my attention with Q3 revenue up 58.5% YoY to $3.66B. Management also raised its full-year revenue outlook, signaling stronger-than-expected demand.

However, after the stock's strong rally, valuation and growth expectations deserve attention.

My Trade:

I recently added to my ANET position to increase my exposure to AI infrastructure.

I believe expanding AI adoption will drive demand for greater networking capacity and performance.

Key risks include competition, customer concentration, and whether growth can justify the current valuation.

Takeaway:

AI opportunities aren't limited to chipmakers. I'm also looking at the infrastructure connecting the entire AI ecosystem.

$NU Holdings(NU.US)

Context: Nu Holdings is trading at $12.03 while the most followed narrative pegs fair value at $22.74, so the gap between price and thesis is wide and very explicit. The long-term vision, which CEO David Vélez refers to as the company’s “Act III,” is built around three pillars: deepening monetization in Brazil through high-margin products such as mortgages, private banking, and SME services in order to increase ARPAC from $16 to above $25; replicating the model in Mexico and Colombia until full profitability is reached; and preparing for expansion into the United States by leveraging the know-how accumulated across Latin America. At the same time, the planned investment of 45 billion Brazilian reais during 2026 (approximately $8.2 billion) signals an aggressive reinvestment commitment in AI, infrastructure, and segment expansion.

My Trade: Been looking for swing trades to lower my cost for the long term. Anything close to $11 is a good entry in my opinion.

Takeaway: I am excited to see how Nu performs as it announces earnings on Thursday after bell. Long term policy shift in Brazil could be an obstacle that they will have to address shareholders. @Captain's Treasure

$NVIDIA(NVDA.US)

Context: Amid a concentrated selloff in AI stocks, Nvidia's valuation has fallen to levels not seen in years. The company's 12-month forward P/E ratio is currently about 11.7x, marking its lowest level since October 2011 and falling below 12 times for the first time since 2012. In comparison, the S&P 500 Index's forward P/E ratio remains near 18 times. However, a declining valuation does not necessarily mean the stock is cheap. Even as the stock price falls, Wall Street still maintains high expectations for the company's future earnings; if AI capital expenditures, data center construction, or profit margins fall short of forecasts, the currently seemingly cheap valuation could rise rapidly.The controversy surrounding Jensen Huang has added key-person risk to Nvidia, a factor that was historically rarely priced in by the market. Huang is not only the company's co-founder, but also the core decision-maker behind its product roadmap, customer relationships, industry investments, and AI strategy. Nvidia has long maintained a flat management structure, and the market has yet to see a clear successor capable of immediately stepping in. If the investigation ultimately does not affect his position or ability to perform his duties, the recent selloff is likely more of a short-term sentiment shock. Nvidia's advantages in its CUDA ecosystem, GPU performance, networking products, and customer base will not immediately vanish due to management controversy.

My Trade: I am patiently waiting for the $159 level before buying, although there is currently strong support levels at mid $160s

Takeaway: Nvidia's announced cumulative share repurchase authorizations total approximately $230 billion, providing the company with a capital buffer during periods of stock price weakness.

$UMS(558.SG)

UMS delivered a strong set of results, with Q3 net profit more than doubling 102% YoY to S$21.1m and revenue jumping 61% to a three-year high of S$95.4m. The semiconductor segment remains the key growth driver, benefiting from robust AI-related demand, while the ramp-up of its new Malaysian customer is another encouraging development. Management also struck an upbeat tone on the outlook, with major customers signalling strong multi-year demand. This gives me more confidence that the underlying semiconductor story remains intact despite recent market jitters. Having held through the volatility, I’m inclined to stay the course and may look to add on any weakness.

$NVIDIA(NVDA.US)

NVDA recovered 1 to 2% post market after dropping 5.4% during trading hours. Stock price is volatile ahead of NVDA's upcoming earnings on 17 November 2026. I am holding and selectively adding to my position. Despite post election tech volatility and sentiment headwinds, Nvidia remains the premier AI hardware manufacturer. However competition is heating up. For example, Google is starting to make their own chips. I think risk management is needed to navigate near term earnings risk effectively.

$NVIDIA(NVDA.US)

Nvidia has fallen after its board launched an independent investigation into CEO Jensen Huang over reports he was the target of an intelligence effort. At the moment, this looks like a leadership worry and not a business problem. I added a small amount on the dip last night. The risks I am watching are the investigation's findings, possible tighter rules on its China business after the hearing and a weak reaction to earnings given high expectations.

$Alphabet(GOOGL.US)

Context: Google is notching up its chipmaking game as the company seeks to reduce its dependence on chips made by other companies for its cloud computing business. Google unveiled two new variants of its tensor processing units (TPUs), in-house developed chips meant for AI workloads, that broaden its chip portfolio to additional use cases: confidential inference and more memory capacity for large workloads. The new units, TPU 8tx and TPU 8i Max, are part of the company’s eighth generation of chips introduced in April this year, and build on what those chips offered, which was more inference capacity and support for large training requirements. TPU 8tx, designed with AMD, is based on the TPU 8t chip, and is geared specifically for confidentially training and running AI models, Google said in a blog post. The chip “builds security directly into the hardware layer, keeping sensitive data and model weights protected and isolated even while in active use,” the company wrote. The chip also has a custom inferencing network that lets it run reasoning alongside training, so it can be used to distill and train small models on the fly. That ability, according to Google, could prove useful for cases where a company might want to train a model on its proprietary data without having to move the data between devices.

My Trade: Already bought during the dip in the last weeks so I'm going to hold.

Takeaway: With Nvidia's recent scandal, Alphabet's unveil of its TPUs adds fuel to fire, especially as its TPUs deal is in collaboration with AMD. @Captain's Treasure

$Sea(SE.US)

Sea Limited earnings does not meet market expectations for Q3 2026. But what is more worrying is its CEO Forrest Li intention to offer cloud services, he might have taken Amazon and Alibaba which started as an ecommerce platform and then expanded to Cloud services as inspiration. Being a new entrant into a now crowded cloud service providers will bleed more cash from the company for the initial setup and profiting from it will need another masterful execution.$NVIDIA(NVDA.US)$Intel(INTC.US)$Netflix(NFLX.US)

$Sea(SE.US)

Context: Sea Ltd. on Tuesday reported higher profit in its third quarter with increased revenues. Further, the firm said its board of directors on Monday approved an additional $1.0 billion to its share repurchase authorization, without expiration. In the previous $1 billion program, the company so far has repurchased 11.1 million shares for an aggregate amount of $997.2 million. In its third quarter, the company's net earnings totalled $502.46 million, 34 percent higher than $374.99 million last year. Earnings per share grew 32.2 percent to $0.78 from prior year's $0.59. Adjusted EBITDA increased by 28.9 percent year-on-year to reach $931.3 million with strong growth in all segments. Shopee Adjusted EBITDA1 was US$269.2 million, up 44.7 percent year-on-year. The company's revenue for the period rose 43.4 percent to $8.582 billion from $5.986 billion last year. Shopee revenue was $6.1 billion, up 41.3 percent year-on-year. Gross orders totaled 4.5 billion for the quarter, increasing by 25.5 percent year-on-year.

My Trade: Was actually aiming for nearer to $70 as it fell briefly during pre-marker but now the stock is up. Is ok, I will be patient.

Takeaway: Shopee's revenue increase is actually heartening, especially with intent competition from TikTok Shop in the past year as well. @Captain's Treasure

$Broadcom(AVGO.US)

Context:

AVGO rebounded nearly 9% yesterday as semiconductor stocks recovered from the recent sell-off.

Investors had been concerned about AI data center delays and the sustainability of infrastructure spending. However, I think the market may have priced in too much pessimism. Delayed projects don't necessarily mean weaker demand; sometimes, it's simply a matter of timing.

With oil prices easing and inflation data coming this week, market sentiment could also improve.

My Trade:

I'm still holding AVGO, and recent volatility hasn't changed my long-term outlook.

My focus remains on whether Broadcom can turn AI demand into sustainable revenue and earnings, rather than short-term price movements.

Takeaway:

Markets often move on expectations, not just current conditions. I don't think one strong rebound confirms a market bottom, but the recent sell-off may have been an overreaction.

$Taiwan Semiconductor(TSM.US)

Context:

Last week was a good reminder of how quickly sentiment can change in the semiconductor sector. TSM went through a fairly sharp pullback before rebounding on Monday, partly supported by Taiwan's market stabilization measures and renewed buying interest.

What caught my attention was the gap between short-term market sentiment and the longer-term role TSMC plays in the semiconductor supply chain. AI demand still depends heavily on advanced manufacturing capacity, although valuation, geopolitical risks and industry cycles are things I don't want to overlook.

My Trade:

I actually added to my TSM position yesterday. I know one strong rebound doesn't necessarily mean the volatility is over, and I'm not assuming the stock has already found its bottom.

My decision was more about how I view the company's long-term position in the industry than trying to catch a perfect entry price. I'd rather build my position based on my investment horizon than let every market swing dictate my decisions.

Takeaway:

I'm learning that adding to a position during uncertain periods requires more than just confidence. I need to understand what I'm buying and why I'm willing to hold it through volatility.

$SpaceX(SPCX.US)To the moon! Literally!

For this stock, I use the base price of 135usd as a benchmark and DCA in as it drops. Noticed that strangely, it will always bounce up to about 144 or 145usd at least, so that is where I put a take profit at, even though it could run up further.

I don’t have much capital, so I have to look for stocks which I can buy low sell high, and they must be volatile enough with a tendency for public opinion to swing either way. I am still new, learning about options, and have no idea how to short a stock yet. Baby steps, wish me luck!

$Meta Platforms(META.US)meta holds good promise, but I’ve just sold after holding a few days, why?

I love the latest product offering, Muse.ai, but I sold it at a modest profit to purchase $NVIDIA(NVDA.US)yesterday when dipped to usd177, as I believe in the value of Nvidia and Jensen Huang’s vision. $SpaceX(SPCX.US)Is another which I bought on the dip, and as for invesco QQQ , I’m waiting for a breakeven to sell. So now, my biggest holdings are in Nvdia and I’m digging my heels in for the long run. Nvdia is a stock I’ve bought and sold several times, starting from when it was 93usd and so far, though I usually buy 1 lot only, I’ve made double of my initial capital since last year. Hope Nvdia will emerge from the crisis soon, with the narrative shifting from a spy siphoning secrets to just merely an affair.