AetherCore

$TSLA 2X Long ETF(TSLL.US)

Context:

Tesla remains under pressure, with TSLA down around 1.25% and TSLL falling roughly 2.6%, even as the new Roadster reveal approaches. The market seems more focused on execution than hype.

My Trade:

I'm holding TSLL for leveraged exposure to Tesla, while staying aware of the risks of its 2x daily leverage, especially in volatile markets.

I still believe in Tesla's long-term potential in autonomous driving, robotics and energy storage. But nothing is certain in the stock market, and I could be wrong. That's why I'm keeping my position limited to capital I'm comfortable risking.

Takeaway:

I can believe in Tesla's future without expecting every trading day to prove me right. The Roadster may grab headlines, but execution matters most.

$Taiwan Semiconductor(TSM.US)

TSMC’s biggest challenge isn’t demand. It’s turning growth into sustainable profits. ASML’s latest update points to strong long-term chip demand, but expanding capacity comes at a cost.

My Trade:

I’m holding TSM. The earnings beat matters less to me than whether TSMC can sustain its tech lead and turn AI demand into profitable growth.

Strong historical cash flow gives me confidence, but I’m watching 2nm ramp-up costs, margins, and capex closely.

Takeaway:

Strong demand means little without attractive returns. I can tolerate volatility, but patience shouldn't mean ignoring risks.

What matters most to you: revenue growth, gross margins, or management’s capacity outlook?

$Arista Networks(ANET.US)

Context:

ANET caught my attention again with its new Etherlink SU-144 technology, which aims to help AI chips communicate more efficiently.

What interests me is that AI isn't just about faster GPUs anymore. As data centers get bigger, the networks connecting those GPUs are becoming just as important.

Still, ANET fell about 2.7% to $210.88 on Monday. I can understand why investors are cautious, especially with questions about how long AI infrastructure spending can keep growing.

My Trade:

I'm still holding ANET because I think its role in AI networking could become more important over time.

But what I like about ANET goes beyond its hardware. Its EOS software helps customers manage complex networks, and once they've built their systems around it, switching to another provider isn't always easy.

ANET also has years of experience working with major cloud companies, which I think gives it an advantage that's not easy for competitors to copy.

Of course, that doesn't guarantee future growth. I still want to see whether new products like SU-144 actually attract customers and bring in more business.

Takeaway:

The more I follow ANET, the more I see why networking could be one of the next big opportunities in AI.

Faster chips matter, but they need reliable networks to work at their best. And for me, ANET's appeal isn't just that demand for networking is growing, but that it already has a strong position in this market.

$Broadcom(AVGO.US)

Context:

AVGO is down around 1.15% today, and Hock Tan's latest comments actually gave me something more important to think about than the stock price.

He believes capital could become the biggest bottleneck for AI growth, even as chip and memory shortages improve.

That's interesting because we've spent so much time talking about how much computing power AI needs, but not enough about who's going to pay for all of it.

My Trade:

I'm still holding AVGO. The recent weakness doesn't really shake my longer-term view, but I'm not ignoring the risks either.

Broadcom has exposure to custom AI chips and networking, and I still like its position in that ecosystem. What matters to me now is whether customers can keep funding these massive AI projects and turn that spending into actual returns.

If that starts changing, I'll need to rethink my thesis. A red day alone isn't enough.

Takeaway:

I used to focus more on how fast AI demand could grow. Now I'm paying closer attention to how sustainable that demand actually is.

AI doesn't just need better chips. It needs a business model that can pay for them.

$Invesco QQQ Trust(QQQ.US)

QQQ closed Friday at 751.27, and I’m staying cautiously bullish heading into the week. The trend remains healthy, but I’d rather keep some cash available than chase at current levels.

Wednesday’s Core CPI will be the main catalyst. I’m watching 771 for a potential breakout and 727 as key support. A pullback could offer a better entry opportunity.

VIX remains low around 14.84, while Longbridge’s US Market Temperature sits at 47, suggesting sentiment is still somewhat cautious despite the calm market.

For now, I’m staying selective and letting price action guide my next move. I still see upside potential, but patience and keeping buying power available remain my priorities.

$Western Digital(WDC.US)

Context:

WDC had a rough session, falling close to 7% after Toshiba’s HDD expansion plans brought supply concerns back into the market.

I understand why the market reacted. If more capacity eventually comes online, it could put pressure on pricing and margins. But for me, the key word is eventually.

The expansion takes time, and so far the bigger question is whether industry pricing actually starts to weaken or whether the market is simply pricing in that risk ahead of time.

My Trade:

I’m still holding WDC. A sharp red day definitely gets my attention, but I don’t want to treat every supply headline as if the business has already changed.

What matters more to me is whether AI and cloud storage demand remain strong, whether HDD pricing stays firm, and whether competitors begin adding capacity aggressively.

If those things start to change together, that would matter much more to me than one bad trading session.

Takeaway:

This position is reminding me that the market often moves before the evidence is clear.

Sometimes that is useful warning. Sometimes it is just fear being priced in early.

My job is not to ignore the risk, but to figure out whether the risk is becoming real.

$Arista Networks(ANET.US)

Context:

Most of my AI exposure has focused on compute and semiconductors. But as AI infrastructure scales, networking matters too. All that compute still needs to communicate efficiently.

That’s what made ANET interesting enough for me to start a position.

My Trade:

I bought ANET yesterday, and today it’s flat around $208. I’m fine with that.

I’m not trying to predict short-term moves or call the bottom. I started small, and if ANET pulls back, I’ll reassess and consider adding gradually if the thesis remains intact.

I’m watching whether Arista can benefit as hyperscalers build larger AI clusters and Ethernet plays a bigger role in AI networking.

There’s risk. ANET is near its highs with high expectations, so AI spending alone doesn’t guarantee strong returns.

Takeaway:

I’m looking beyond AI chips to the infrastructure connecting them.

For now, it’s a small position. I’d rather build conviction over time than assume I got the entry right.

$Tesla(TSLA.US)

Context:

TSLA is one of those positions where I feel the story keeps changing faster than the stock itself.

Recently, Tesla’s European registrations have started to show some recovery, which is encouraging after a weaker period for the auto business. At the same time, the company is committing more capital to AI, autonomy and robotics, including a new $30B credit facility to support those ambitions.

My Trade:

I’m still holding because my view of Tesla is no longer based only on vehicle deliveries.

I still care about the car business because it funds the company and shows whether the core operation is healthy. But what keeps me interested over the longer term is whether Tesla can turn autonomy, AI and robotics into real businesses rather than just future expectations.

That also means I have to accept that the stock can react sharply to delivery numbers, product delays or headlines even when my longer-term thesis hasn’t changed.

Takeaway:

TSLA keeps reminding me that conviction is not the same as certainty.

I don’t need every quarter to confirm the full long-term story, but I do need to see continued evidence that the company is moving toward it.

$Taiwan Semiconductor(TSM.US)

Context:

TSM has had a great run and honestly this is where holding becomes harder than buying.

The AI story is still strong. Demand for advanced chips remains high and TSMC is pushing ahead with 2nm capacity. What caught my attention most is that customers still need TSMC even when advanced chips become more expensive. To me, that says a lot about how difficult it is to replace TSMC at the leading edge.

But I am not ignoring the risks. The stock has already moved a lot, expectations are high and TSMC is spending heavily to build new capacity overseas. A good company does not mean the share price can only go up.

My trade:

I am still holding my TSM position. I am not rushing to sell just because the stock has done well, but I am also not chasing it aggressively at this level. I want to see whether 2nm demand and stronger pricing can keep supporting earnings.

Takeaway:

If I could do one thing differently, I would have bought more during the periods when people were worried about TSMC instead of waiting until the AI story became obvious. Those uncomfortable moments usually look much better in hindsight.

$Direxion Semicon Bull 3X(SOXL.US)

Context:

Semiconductors are one of the areas I’m watching most closely as the market approaches another important week.

QQQ is near its previous all time high, while Micron earnings and major economic data could quickly influence sentiment toward technology and semiconductor stocks.

I also noticed institutional call activity in SOXL, which gives me another signal to monitor together with the actual price action.

My trade:

I’m continuing to hold my SOXL shares. My decision is not based on a single catalyst. I want to maintain exposure to semiconductor momentum while watching how the sector responds to Micron earnings and the upcoming economic data.

Since SOXL provides leveraged daily exposure to semiconductor stocks, I’m being more selective about adding rather than increasing my position simply because the market is strong.

Takeaway:

Holding SOXL has reminded me that being bullish does not mean I need to keep adding. With a leveraged ETF, patience, position sizing, and risk management matter just as much as getting the direction right.

$Dell Tech(DELL.US)

Context: Dell is one of those companies I actually come across in everyday life, which made me pay more attention to it as an investment. Beyond the consumer side, I’m also interested in its role in the growing AI infrastructure market.

My Trade: I am holding Dell because I like the idea of getting exposure to AI infrastructure through a company I already know and see in everyday life. For me, it’s interesting to see how a familiar hardware brand is becoming part of a much bigger AI story.

Takeaway: Sometimes the companies we see in everyday life can lead to interesting investment ideas. AI isn’t only about chips. The infrastructure behind it matters too.

$Broadcom(AVGO.US)

Context:

Today’s Fed decision caught my attention. Rates rose 25 bps to 3.75%–4.00%, and the more hawkish tone added pressure to growth and AI sentiment.

For AVGO, I understand the uncertainty. Higher rates can pressure valuations, while investors are also questioning whether AI infrastructure spending can continue.

What keeps me from reacting too quickly is that Broadcom’s fundamentals remain strong. Its latest AI semiconductor revenue grew 221% YoY, so I see a clear difference between changing sentiment and a changing business.

My Trade:

I’m still holding AVGO. Macro conditions matter, but I don’t want one Fed decision to change a view built over a much longer time frame.

Instead, I’m watching what matters to the thesis: AI demand, customer spending, and whether Broadcom can keep turning that demand into sustainable growth.

Takeaway:

Today reminded me that having a long-term view doesn’t mean ignoring Fed or market risk. It means knowing what should actually make me rethink the thesis.

For now, I’m trying to react less and observe more.

$Oracle(ORCL.US)

Context:

I started a position in ORCL yesterday after watching the recent pullback.

What caught my attention is the contrast between the stock price and the business momentum. Oracle just reported 30% revenue growth, while its cloud infrastructure business grew 121%. At the same time, the market is clearly still uncomfortable with how much capital is being committed to AI infrastructure and what that means for cash flow.

My Trade:

I decided to start with a position rather than trying to guess where the exact bottom is. For me, this trade is less about catching a quick rebound and more about watching whether Oracle can actually turn its huge AI and cloud commitments into sustainable growth.

Takeaway:

Strong growth numbers alone don’t remove execution risk. Sometimes the more interesting setups are when the business looks strong but the market is still questioning the cost of getting there.

$Broadcom(AVGO.US)

Context: I like Broadcom because it sits right at the heart of AI infrastructure. While most people focus on GPUs, companies like Google and Meta work with Broadcom on custom AI chips and high-speed networking. Its software business also brings in steady cash flow, giving the company a strong foundation beyond AI.

My trade: My average cost is $355.172, and with AVGO around 362, I’m sitting on a small gain. I’m holding my shares today and not adding more. With strong demand for custom AI chips, networking, and solid software cash flow, I’m comfortable letting the position run while keeping my risk under control.

Takeaway: Broadcom has strong exposure to AI through both custom chips and networking. In your semiconductor portfolio, do you prefer GPU companies or custom ASIC players like Broadcom?

$Arm(ARM.US)

Context: What keeps me interested in Arm isn’t the AI hype. It’s how deeply the architecture is already embedded across the industry. Switching away is possible, but after decades of building around it, it’s neither easy nor cheap. That stickiness matters more to me than the hype.

My trade: I bought higher than I should have, so I’m still in the red. But my entry price doesn’t change what the business is worth from here. The thesis hasn’t changed for me, so I’m holding. I’m not adding just because it’s down either.

Takeaway: The market doesn’t care where you bought. What matters is whether the reason you bought still holds. For me, ARM still does.

$Vertiv(VRT.US)

Context: I still like VRT despite the recent pullback. The business is growing well, margins are improving, and AI data centers continue to need more power and cooling. Vertiv is still one of the companies I like most in this space.

My Trade: My average cost is $317.275, so I’m still underwater. When I first bought, I didn’t know the stock would pull back this much, so I started with a smaller position just to get some exposure. I’m keeping that position and watching the business rather than trying to guess the bottom.

Takeaway: I still believe in the long term story, but the valuation matters. For now, I’m more focused on whether earnings, margins and cash flow keep improving before deciding if I want to add more.

$Direxion Semicon Bull 3X(SOXL.US)

Context: I’m currently holding SOXL, but I’m more cautious heading into September. Historically, September has often been a weaker month for stocks. It doesn’t happen every year, but it’s worth keeping in mind.

My trade: I’m not expecting a rebound here. With midterm election uncertainty and SOXL’s 3x leverage, I’m focusing more on risk and considering whether to reduce or exit my position.

Takeaway: September does not always mean the market will fall, and election years do not guarantee a specific outcome. But both are risk factors I think are worth keeping in mind.

At this point, I’m more focused on protecting capital than trying to predict a rebound.

$Comfort Systems USA(FIX.US)

Context: I own Comfort Systems for its leverage to the multiyear buildout of AI and data center infrastructure. These facilities require increasingly complex mechanical, electrical, and cooling systems, while FIX’s modular capabilities allow it to execute large projects more efficiently and at scale.

The thesis is now showing up clearly in the fundamentals: backlog continues to reach new highs, technology exposure is expanding, margins are benefiting from strong execution and favorable project mix, and earnings expectations continue to move higher.

My trade: I’m letting my profitable shares run. I’m not trying to trade short-term price action while the underlying earnings cycle is still strengthening. As long as backlog growth, margins, and earnings revisions remain constructive, I see no fundamental reason to reduce a winning position.

Takeaway: I like owning companies positioned at key industry bottlenecks. As long as FIX’s specialized capabilities keep translating into backlog, margin, and earnings growth, I’m happy to let the winner run.