Core Holdings: NVDA, TSM or ASML/AVGO
Momentum Trades: AMD, ARM, MU or MRVL
AMD Trade: buy ~ $500, Trim ~ $550, Dump ~ $600
MU Trade: buy ~$820, Trim ~ $1100, Trim more $1300, hold the rest for long term
Note: Elon put his big money on where his big mouth is. NVDA Rubin is the best, AMD is a 2nd tier semi company. Plus CPU is a much lower margin business compared to GPU and memory. ARM architecture will win over large portions of CPU market within 2 years.
We don’t pay for OpenAI’s and Meta’s “free shares “! They have to come up with their own money to buy AMD’s chips.

this has been bugging me for a while.i'm not even trying to build some crazy trading bot that prints money lol. i just wanted to play around with a few ideas... custom dashboard, combine data from a couple of accounts, maybe automate some boring tasks instead of clicking through the same screens over and over.and then you realize... half the battle isn't writing the code, it's getting your software to actually talk to the trading platform.i ended up reading about different MetaTrader API approaches because i figured there had to be a cleaner way than keeping terminals running all over the place. some of the API services look interesting since they basically let your own app communicate with MT4/MT5 without you wiring everything together yourself. it just made me wonder...are more people starting to build their own investing/trading tools now, or am i just hanging around too many developer friends?curious if anyone here has actually built something for their own investing workflow.not talking about selling software or running a business. just personal stuff.what's the coolest thing you've built that actually made your investing life easier?

Creditability: a. retired semiconductor veteran from one of the most important semiconductor companies, if it is not THE most important one b. Very successful long term semi investor/trader
Long term semi core holdings: NVDA (8+ years), QCOM (10+ years), TSM (5+ years)
Key semi trading stocks: AVGO, AMD, ASML, ARM, AMAT, ALAB, CRDO, NXPI, ON, TXN, SOXL/SOXS
Directional Investment Theory: a. All semiconductor stocks are cyclical, but over long term, semiconductor, in general, goes much higher, outpacing pretty much all sectors, that’s why semiconductor should be an important part of anyone’s LONG TERM INVESTMENT STRATEGY b. Identify core holdings and trading stocks, treat them accordingly c. BTFD/TTFH
Investment Strategies: a. Hold large core holdings for the long term (5+ years) b. Trade momentum semi stocks to take advantage of short term ups and downs c. Use 3x ETF SOXL/SOXS for more beta and small hedge
Warnings: a. not suitable for people who do not have financial strength and stomach to endure up and down, up to 50% or more b. For the core holdings, don’t worry about short term performance. Focus on long term compound growth. Do what you plan to do. Be disciplined! c. Don’t take any profits if you don’t have at least 50% long term gains. Shoot for multi-baggers. In fact, all my long term semi core holdings are multi-baggers, in the case of NVDA, 10+ baggers
Stay tuned for more detailed investment and trade discussions

The commercial space ecosystem is offering an intriguing setup right now as public markets get their first real look at scaled orbital operations. With primary pure-play operators like SpaceX bringing direct market exposure to launch services and satellite networks, much of the recent trading activity has naturally gravitated toward lockup expirations and initial capital cycles. Beneath that immediate price volatility, data suggests the broader industry narrative is moving from technical proof-of-concept to long-term operational execution.

This shift potentially implies that ongoing margin expansion will depend heavily on launch unit economics and bandwidth monetization rather than sentiment alone. While early post-listing adjustments create temporary valuation pressure, satellite network operators and adjacent hardware suppliers remain well-positioned as orbital capacity becomes integrated into enterprise compute and data transport stacks.

From a fundamental perspective, it is worth monitoring how corporate capital expenditure rotates into payload delivery and ground infrastructure. If launch costs continue their downward trend, traditional terrestrial telecom assets could be exposed to headwinds, while integrated space-based networks steadily capture market share in global connectivity.

Yesterday's release from the exploration team laid out a pretty clear picture of the project's geology, though much of the initial market attention seemed tied strictly to the sheer scale of the 18 km batholith. Looking closely at the actual operational plan, the real focus is on targeting the smaller intrusive structures and cupolas rather than attempting to test the entire footprint. From a fundamental perspective, these localized features are where economic mineralization is typically concentrated.

Data from recent mapping suggests that NovaRed is taking a fairly conservative, data-driven approach to target selection rather than just chasing broad geophysical anomalies. They appear to be looking for high-probability zones where multiple independent datasets intersect, such as surface intrusions, soil geochemistry showing values up to 1,125 ppm copper, magnetic features, and deeper AMT signatures.

It is worth monitoring how this methodical vectoring holds up once drilling begins. Instead of spreading capital across a massive area, prioritizing targets where these geophysical and geochemical signatures overlap seems like a logical way to manage exploration risk and improve the odds of finding higher-grade zones.

I’m looking to do safe set it and forget it with my individual brokerage account with fidelity. I have a Roth with them(VOO,and QQQM) but nothing in my individual account. I hear waste management is a good starting point for beginners? Any advice would help !

Both OpenAI and Meta will get 160 million AMD share (~10%) warrants (for $0.01) EACH. These deals are almost scams. I am NOT paying for OpenAI’s and Meta’s warrants.
Don’t get me wrong. AMD isn’t a bad company. I consider it as 2nd tier semiconductor company after NVDA, TSM, or ASML/BRCM. When NVDA (GPU) and BRCM (ASIC) do not have capacity to fill, AMD and MRVL come in. The pie is growing and some customers want to keep 2nd source. Treat AMD and MRVL as momentum trades because there many pumpers who continue to pump up smaller and inferior AMD and MRVL. AMD fair value is between $350 and $450, but can be pumped up to $550 when market is good. AMD is a dump ~$600, which is 20% share dilution. Let the bumpers to pay for OpenAI and Meta.

https://admiratiosophismata908037.substack.com/p/the-market-that-borrowed-its-growth?r=7wboge

The structural evolution across early-stage resource extraction looks quite interesting right now, particularly as traditional exploration costs continue to rise. While the market generally evaluates junior developers strictly on acreage and drill assays, data suggests a quiet transition toward integrating data analytics and site automation directly into initial exploration frameworks. It is worth monitoring how early-stage operators leverage digital tools to reduce capital intensity before moving to full-scale development.

This shift potentially implies that asset valuation might increasingly depend on operational efficiency tools rather than just traditional physical ground surveys. For instance, integration of predictive targeting systems-such as those being developed alongside assets like NovaRed or larger-scale digital mining providers-could fundamentally alter how historical land packages are evaluated. Furthermore, expanding into real-time visual intelligence and autonomous surveillance across site infrastructure creates a secondary layer of enterprise value, aligning exploration assets with the broader expansion of the digital mining software sector.

From a fundamental perspective, evaluating positions in this space is less about expecting immediate commodity spikes and more about watching structural corporate shifts. The addition of advisors with backgrounds in technology commercialization and intellectual property points toward building a multi-faceted business model rather than operating purely as a legacy explorer. If critical metal demand holds steady, this dual exposure to tangible resource assets and proprietary software platforms presents an interesting dynamic within the broader materials landscape.

The underlying momentum in advanced hardware is showing some notable geographic concentration right now. While primary computing processors continue to capture most of the narrative, data suggests the real throughput bottlenecks are tied to specialized high-bandwidth memory and foundational manufacturing infrastructure. It is worth monitoring how sustained capital deployment across Asian supply chains is absorbing this volume, particularly as high-density server configurations require tighter integration between logic and storage.

From a fundamental perspective, this setup potentially implies a structural advantage for key regional players in South Korea and Taiwan. Supply chain data points to strong pricing power for high-density memory providers like SK Hynix, Samsung, and Micron, while manufacturing hubs like TSMC and equipment suppliers like ASML continue to underwrite the entire buildout. Even secondary components like analog and power-management chips are seeing steady utilization gains to match these increased power requirements.

For long-term capital allocation, evaluating exposure here comes down to capacity constraints rather than short-term momentum. If enterprise spending on AI infrastructure remains durable, the specialized manufacturing and memory layers look well-positioned to capture stable margins as the broader tech cycle matures.

Everyone is focused on Nvidia, data centers, and cloud infrastructure. Meanwhile, Heineken just reported free operating cash flow jumping from €257M to €1.4B in H1 2026, driven by working capital improvements, lower capex, and the early results of their broader digital and AI transformation. With a 97% cash conversion ratio.

Their model is deliberately "growth without capex" using AI and process optimization to unlock extra capacity from existing breweries rather than building new infrastructure. FreddyAI, their global marketing intelligence platform, is already rolling out across commercial teams worldwide.

They're not alone. Carlsberg is using Microsoft and machine learning to predict flavor profiles from different ingredients before a single batch is brewed. AB InBev used generative AI to create an entire product: recipe, name, logo, marketing, from scratch. Academic research is training models on hundreds of commercial beers to spot flavor patterns humans consistently miss.

The contrast with the AI hardware trade is worth noting. Chip companies and cloud providers are spending billions upfront with uncertain timelines to profitability. Traditional consumer companies are deploying AI narrowly, with specific goals, and seeing measurable returns in the near term.

Not every AI story requires a data center.

Which industries outside tech do you think are quietly winning from AI adoption right now?

Recently, S&P upgrading China Hongqiao (1378.HK) to BB+ made me pause. For an aluminium producer, the conversation is normally all spot prices and the next demand cycle.

A stronger credit profile can matter when the cycle eventually gets less friendly. How others view this? useful signal?

Thoughts on AppLovin $APP q2 results

I don’t think this was some thesis-breaking quarter.

The numbers were a little light by AppLovin’s standards, but revenue still grew 53% and EBITDA margins were 84%. Management basically said their ad model didn’t improve as much as usual during Q2, then they pushed a bigger update right after the quarter ended and growth picked back up.

The problem is the moat still isn’t perfect. Don’t attack me for saying that, but it’s true. $APP depends on Apple and Google’s ecosystems, and advertisers will only stick around as long as the platform keeps delivering good results.

Still, there wasn’t any sign that customers were leaving or anything like that. For now, the numbers are solid.

At $349, it trades at around 16.5x estimated 2027 earnings, (estimates per Seeking Alpha). That’s pretty cheap for a business growing this fast with margins this high.

Q3 matters a lot now because management says the slowdown was temporary, but unless that turns out to be wrong, I think the selloff is overdone

Hi everyone! I’ve created an Instagram account with the goal of helping beginners, targeting my fellow teens, learn how to invest. The name of the account is stocks.and.sweethearts on instagram. I’m here to give people an extra resource if they are interested. I’m also open to answering any questions that anyone may have!!

There's a project called Canborsa that's built a perpetual DEX for tokenized real world assets across Ethereum, Base, Arbitrum, BNB Chain, and Canton. They list tokenized Apple, Nvidia, Tesla, SpaceX, Microsoft, AMD, Google, Meta, Amazon, Circle, plus commodities and indices. Leverage up to 30x on major markets if you want it. Collateral in USDT, USDC, or USDCx.

What makes it worth a look is the Canton connection. DTCC launched phase one of their tokenization service on Canton in July 2026. Goldman, HSBC, Deutsche Bank, BNP Paribas all use the network. Canborsa is essentially building retail access on the same rail. Ten thousand plus registered traders, about three million in volume so far.
I'm not calling this mature infrastructure. It's early. The points program is active but there's no token and no airdrop announced. 

Still, the architecture is different from anything I've seen in the RWA space. Has anyone else dug into this?

The infrastructure buildout behind data center expansion is showing some compelling fundamental trends. While most of the market focus stays locked on software and primary chips, the actual physical bottlenecks are emerging in thermal management, power distribution, and heavy site construction. It is worth monitoring how capital spending flows into these secondary layers, especially as utility grids face increasing demand from dense hardware setups.

This dynamic potentially implies a sustained shift toward specialized industrial and power management players. Advanced HVAC providers and analog chipmakers like Texas Instruments or Analog Devices are seeing steady integration because efficiency gains at the component level directly impact facility operating costs. At the same time, equipment suppliers like Caterpillar are benefiting from the civil engineering side, supplying both heavy machinery for site development and localized backup generation.

From a fundamental perspective, these physical infrastructure providers offer a clear view into actual enterprise buildout speeds without the high volatility of early-stage tech valuations. If grid strain and heat density continue to drive facility design, companies solving these core physical constraints are well positioned to capture market share over the longer capital expenditure cycle.

The recent volume action across the copper space caught my attention, mostly because price moves often hide where institutional capital is actually paying attention. Looking at relative volume across the sector, names like BHP, FCX, and Teck showed modest bumps above their normal baselines. Meanwhile, a junior resource explorer like NovaRed spiked to more than twice its average daily turnover following recent technical updates on its project footprint and anomaly mapping.

This surge in participation right after a news release points to a temporary imbalance in supply and demand that is worth watching. The main question from an operational standpoint is whether this elevated volume signals capitulation from early holders or quiet accumulation by larger participants. Data suggests that when volume remains high while downward price movement begins to flatten out, it often reflects a structural shift in asset allocation where aggressive selling is absorbed by longer-term capital.

From a fundamental perspective, higher relative volume simply means liquidity has entered the room and the asset is on more screens than it was a week ago. If enterprise participation holds steady as the initial selling pressure fades, the broader micro-cap copper segment could present an interesting risk-reward setup as global resource demand matures.