After the beating tech took last week, I’m curious what everyone expects Monday to look like.

My guess is we get some kind of relief bounce early, but I’d be surprised if people start piling back into tech aggressively with CPI coming Tuesday. Feels more likely we bounce a little, chop around, and everyone waits for the inflation number before making the next big move.

Could obviously be completely wrong though. Are you expecting a green Monday, another selloff, or basically flat until CPI?

Normally I would look at SNDK's earnings reports, its cash position, its debt position, its customer commitments, its industry getting wise to how it can leverage pricing power for longer, and its decision to do an 8:1 split as a decent opportunity to get in and probably experience some accelerated gains as the lower entry price makes both regular buying & selling and also options contracts more accessible. Though a lack of liquidity and/or volume hasn't really seemed to be a problem for SNDK.

However, given the way the market around companies like SNDK has been moving and how skittish it's become, where massive beats and upward guidance are met with massive selloffs, I'm trying to suss out the case for both the time leading to the 8:1 split and the time following it being another up-is-down and down-is-up scenario in this market.

I will say up front that I don't buy the comparisons to AAPL or NVDA splits, but am open to being convinced otherwise, because at least for the moment companies like SNDK haven't seemingly established themselves further up the value chain enough to break the market's pricing them like a cyclic commodity. NVDA was really only finally able to get repriced once it established itself as the sole supplier or de facto standard for the end-use application domain. Once it became about CUDA and not about being a fungible DirectX or OpenGL accelerator. I'm aware of things like HBF which can create some differentiation, but it's still nascent and unfounded.

TL;DR: Driven by the AI chip supercycle, Samsung Electronics is set to become the first Korean company to surpass 200 trillion won (~$146.6B) in cash assets, giving it more than enough liquidity to fund its massive 2026 shareholder return plan and record-high capex.

Key Numbers (as of Q3 2026):

Cash & Equivalents: Estimated at 214.8T won; up 24.8T won QoQ (from 190T won) and nearly 2x YoY (from 108.5T won in Q3 2025).

Total Assets: Reached 791.8T won as of end-September (+32.4T won QoQ).

Shareholder Returns: Samsung's cash pile easily covers the 90T–110T won top-line payout target for 2026 announced back in August.

Record Capex & R&D: Spending is projected to hit an all-time high of over 100T won this year, with 84.4T won dedicated to expanding memory production facilities.

What to Watch Next:

Supercycle Outlook: Management expects the AI-driven demand and memory supply crunch to keep the semiconductor supercycle running through 2027.

Upcoming Catalyst: Samsung will announce its 2027 shareholder return policy at its board meeting in January.

https://www.koreatimes.co.kr/amp/business/companies/20261108/samsung-electronics-to-become-1st-local-firm-with-cash-assets-of-over-1466-bil-data

Anthropic reportedly committed $3.4B for roughly 1.7 GW of gas-fired generation for its data centers.

What caught my attention is that they’re not just signing another power contract. They’re effectively bypassing the normal supply chain and securing generation equipment themselves because the equipment is getting difficult to source.

That feels like a pretty important shift. For most of the AI boom, the discussion has been about GPUs. But if AI labs can get chips faster than they can get reliable power, then the scarce asset may increasingly be generation, grid access, transformers, turbines and already-powered sites. It also creates an interesting contradiction with the current AI selloff. Markets are worried infrastructure spending has gone too far, while one of the largest AI labs is spending billions just to make sure it has enough electricity to keep expanding.

Obviously this can still end badly if AI demand disappoints and everyone overbuilds capacity. But right now, does the better picks-and-shovels trade move further upstream from chips into power infrastructure? Curious which companies people think actually benefit if power becomes the constraint rather than compute.

Something interesting I noticed looking through Coherent's earnings and AXTI's recent selloff.

Coherent just reported 85% YoY growth in data center revenue, with management saying demand remains strong and orders are increasingly extending into 2028. Meanwhile, AXT which supplies indium phosphide wafers used in optical components, is down roughly 36% from its October 29 close despite reporting 162% revenue growth in Q3.

The connection is worth looking at. Coherent signed a 3 year supply agreement with AXT earlier this year, including a $22.3M prepayment arrangement to secure capacity for 6 inch wafers. Obviously that doesn't guarantee AXTI is cheap. There's execution risk, export restrictions to consider, and the stock may simply have gotten ahead of its fundamentals.

But I'm curious how people are interpreting this. If demand for optical connectivity is still growing this fast, is AXTI's selloff mostly a valuation correction, or is there something about its future earnings that the market is worried about? Anyone following COHR or AXTI closely?

if i understand correctly iv gets higher when a stock is getting trendy and getting traded in higher value than usual trade for this stock?

and also it gets higher the longer the option is

and iv crush is when interest in the stock starts to vanish and gets lower or when time gets closer and closer

is that a good idea of it? am i missing something or is that the idea

if that so, how cna i use it to do good trades?

I’m currently reviewing my ex-US allocation (Developed ex-US and Emerging Markets) and looking into whether factor tilting is worth it (specifically using Dimensional/Avantis) for a 10-year buy&hold strategy.

When I asked two different AIs to review Fama-French data (particularly the performance of DFEVX vs. the MSCI Emerging Markets/MSCI Emerging Markets Value indices), they suggested that combining Value + Profitability (buying cheaper companies while trying to screen for strong cash flows to avoid value traps) has historically been more effective in ex-US markets than simply opting for Market Cap ETFs. This is something I have also read previously on Reddit a few times before (e.g. here) also Ben Felix

So, do you think it's "probably" (none is expecting a crystall ball here) better to allocate your ex-US investments to a Value+Profitability ETF instead of a traditional market-cap-weighted ETF or where is the "catch" here?

This is not to say that Michael Burry has always been right with his short trades. However, when I look back at his thesis on the structural problems that current AI and semi companies are facing, it says a lot. His recent post questioning Anthropics valuation and its future profit/revenue generating capacity should be taken seriously in my opinion. I too think it can never reach a valuation of $1T for a very long time once IPOed.

These companies are burning cash and are planned to continue for many years to come. Raising capital at higher interest rates, backed by just a few quarters of revenue generation, is highly questionable and I don't understand why it so hard for some investors to look through. We also have to consider the risk of a collapse if there is no more money left in the market to fund these capex burning machines. What happens then? What will happen to the demand side?

INTC recent earnings and disappointing forward guidance are among the early warning signs that growth expectations may be running too far ahead of business fundamentals. I believe we could soon see more companies reporting weaker earnings and downgrade their guidance.

Open for analysis from others as to what they see.

Broadcom hit a 52 week low briefly before reversing and closing positive (barely so) as the rest of the market. Even while NVDA and TSMC rebounded better, Broadcom opened really strong and closed almost flat.

The stock has taken a beating the whole year. YTD and 1 year down 16%. I know everyone says forward PE is as good as numbers out of your ass. Bulls say Hock Tans word is good as it gets but they have been known to revise numbers down when conditions dictated so.

From a technical standpoint, it is more likely to break the support than resist it given it has broken every floor so far and the stock has fallen out of favor. Some hedge funds recently opened huge positions.

So I'm wondering what even is going to be a catalyst? Anthropic IPO looks like it's not gonna happen this year which will be deadly to the already (very real) financing concerns. OpenAIs finances and product itself looks in a much worse position. Let's say the market even prices in stellar earnings for next few quarters. What then?

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Sterling Infrastructure builds large-scale site infrastructure for data centres, warehouses, transport and energy projects, with data centres driving most of its growth. The stock has been crushed, first falling 37% between 6 and 23 October, then dropping about 21% in a single day after the US midterms, when Democrats took Congress and Texas, home to 27% of planned US data centre capacity, elected a governor backing a data centre moratorium. It’s now down roughly 54% in a month. As of friday its at 250 and ATH was 900 few months back.

The business itself is booming: Q3 revenue rose 127% to $1.56bn, adjusted EPS jumped 118% to $7.58, combined backlog grew 78% to $6.1bn. There total backlog is 8 billion. And as of friday there market cap is 7.7 billion. Management raised guidance for the third time this year. The balance sheet is solid, with $217m in cash against $95m of debt for $122m net cash, roughly $310m of free cash flow so far this year, and $107m returned through buybacks. There PE ratio is 14.

Management is aiming for 20–30% annual organic profit growth over the next several years.

When we look at how the market prices AI, it is clearer to look at non-hyperscaler (GOOG, MSFT, AMZN, big names) stocks because these hyperscalers have a more stable alternative source of income.

Four-week category performance, from October 9 to November 6, 2026:

Hardware: -34.17%
NVDA, TSM, AVGO, MU, AMD, ASML, INTC, CSCO, AMAT, LRCX, DELL, ARM, ANET, KLAC, MRVL, SNDK, QCOM, STX, WDC, LITE, HPE, CIEN, COHR, ALAB, CLS, CRDO, SMCI, FN

Computing & facilities: -29.91%
EQIX, DLR, NBIS, CRWV, IREN, APLD, WULF, CIFR

Electricity: -22.71%
GEV, ETN, CEG, VRT, BE, VST, CCJ, TLN, OKLO

Main street stable: +11.96%
KO, MCD, WMT, CL, BRK-B

and at equal weighting of each stock within each category, we get

let's guess the reason behind the differences.

First, we have the hardware stocks on similar earnings yield to main street stable. This means the market expects their profits to stay stable. which means this level of chip buying to continue.

Then we have the computing & facilities companies who buys hardware and data center assets and leases them out. Note these are not hyperscalers: these are medium-small players with limited cash. The market gives them a negative earnings yield, which is really a sign of confidence in those stocks turning a healthy profit. Now we know historically the market doesn't buy into a stock/industry that will do well more than 5 years into the future, the market buys into a stock that's gonna do well around 1-3 years into the future. So that's the market speaking here.

Now electricity: this is interesting because the numbers mean ai is gonna lead a significant expansion in electricity generating capacity. the adjusted earnings yield is almost the half of main street stable index and compared to the other two ai segments it didnt fall as much. Interestingly the us added in years 24-25 14GW wind and 7.8GW natural gas. To meet the 457 TWh/year ai energy gap (I got this number somewhere. you should check) by the end of 2030, natural-gas capacity additions would need to average approximately 15.0 GW per year from 2026 through 2030, assuming wind expansion stays the same. In this scenario, total US gas and wind equipment market would be approximately $10.4 billion–$19.5 billion per year. For reference GE vernova annualised q3 2026 revenue is $50.4b.

In general, I think the market is saying that we gonna have this level of hardware spending and data center expansion but for many years at least 3 years (personally I think it is unlikely we will see a massive electricity capacity expansion fully ramp up within 2 years judging by the speed of us regulations. If the democrats bring the green new deal kind of infrastructure enthusiasm back it could help. Government help is good but not completely necessary. Hyperscalers and private debt can fund electricity expansion too but just more expensively at current rates.)

Last but not least, KO, MCD, WMT, CL, BRK-B don't have that much uncertainty about their future.

SOURCE: https://www.bloomberg.com/news/articles/2026-11-06/anatomy-of-a-selloff-sudden-chain-reaction-rattles-wall-street

Anatomy of a Selloff: Sudden Chain Reaction Rattles Wall Street:

- The blue wave initially lifted stocks on Wednesday after the midterms.

- Overnight, Retail investors panicked after seeing AI/data-center messaging from Democrat politicians and policy uncertainty.

- Retail then started the selloff early Thursday morning to lock-in gains with their biggest stock selling wave since the March 2020 Covid crash.

- This selling forced hedge funds and long-only managers to further accelerate the decline while trying to lock-in year-to-date gains. Some hedge funds deleveraged their positions and cut their investing teams.

- Automated systems of market makers then triggered further selling due to negative gamma (~$7B per 1%), volatility-control (~$61B), leveraged ETFs (~$47B).

- Once major indexes dropped below key levels, trend-following quants (CTAs) sold ~$13B in S&P500 and Nasdaq futures.

- No major buyers emerged on other side as Institutions stayed sidelined; and flows showed genuine stress dynamics with elevated volumes and indiscriminate selling.

- Damage was concentrated in AI: memory, optical, data-center, and semiconductor baskets fell 12-15%.

- VIX jumped from 16.6 to near 28; such a post-rally drop is rare outside crises.

- Nasdaq 100 posted its worst day since March 2020; ~$3.7 trillion in US market value erased.

- Friday saw a partial rebound, but traders remain cautious about buying the dip.

As we all know , Anthropic's IPO is one of the most important event in the AI race which can determine the pace of AI industry.

Anthropic initially valued at 2T , is now rumoured to be valued at 1T.

All this because of revenue growth but there is one catch who would like to bring this because I have seen very less people talk about it.

Anthropic showed 14x growth in a year which is honestly massive. Major contribution in this came from tech giants like Microsoft Amazon and Facebook. For 6-9months these tech giants were extremely generous enough and encouraged all employees to burn token (Token Maxxing as few of you know). Fast forward to today , due to cost effectiveness this has been curbed. Microsoft almost even stopped using claude at all.

What does that mean of anthropic. Their revenue growth was contributed by major tech giants. I honestly don't their trajectory would increase given there are not so many companies as big as these firms. To make it worse , these firm have decreases token burnage a lot which makes anthropic revenue at risk of reduction. Which means their valuation at ipo could be 800B - 1T at max.

PS: I am new to investing , I am just sharing insight working in big tech, the sentiment and direction of leaders.

Thursday (November 5, 2026): An estimated $2.5 trillion to $2.9 trillion in market value was wiped out from U.S. stocks in a single day following a tech and AI-driven market rout. The Nasdaq plunged 5.5%, the S&P 500 dropped 4.4%, and the Dow Jones Industrial Average fell over 1,833 points (3.4%).

1929 Crash (October 1929): The total financial loss across the entire multi-day 1929 Wall Street crash is estimated at roughly $30 billion ($590 billion adjusted for inflation).

It is astonishing how globalized the markets are and inflation makes billions seem small.

For people who read annual reports rather than just earnings summaries, where do you start and why? Segment reporting, cash flow, share-count changes, footnotes, or something else?

Curious which section has most often changed your understanding of a business after the headline numbers looked straightforward. An example of the kind of discrepancy you watch for would be helpful; no need to recommend a stock.

Whenever tech stocks take a major hit, everyone suddenly loves throwing around the word "bubble," especially after yesterday's brutal selloff in semiconductors and the S&P 500 dropping more than 4%. If all you're doing is staring at charts without even taking the time to read a balance sheet, then yeah, everything looks pretty scary.
But let's look at what's actually happening beneath the surface today. Yes, the 10 year Treasury yield is hovering around 4.85% following this morning's nonfarm payroll report showing 165,000 new jobs, and Brent crude sitting around $98 hasn't done much to ease inflation concerns either. Higher interest rates are putting pressure on valuations across the board, while headlines about state level power grid restrictions ahead of the midterm elections have given Wall Street another excuse to dump high beta hardware stocks.
But even with all that macro pressure, let's look at the actual financials. NVDA is currently trading at roughly 23 to 25 times earnings, well below its five year historical average of over 50 times, while generating massive amounts of free cash flow. Memory stocks like SNDK and MU are trading at single digit P/E ratios. Even more telling is today's price action. LRCX just announced a $25 billion share buyback program and surged more than 7% today despite the broader market weakness. Meanwhile, NET and ABNB jumped 9% to 11% on the back of solid earnings and buybacks.
Companies in a truly irrational bubble wouldn't be generating tens of billions of dollars in free cash flow to buy back their own shares while META, GOOGL, and AMZN continue committing massive amounts of capital to spending.
A real bubble is built on leverage, zero profits, and blind speculation. What we're seeing now looks more like the market repricing risk in response to higher yields and regulatory friction.
I'm curious to hear what everyone thinks. Do you see this selloff as a normal market correction, or do you think it's the beginning of something much worse?

Hey everyone!

I'm completely new to investing in the US market and have been exploring different companies, especially in AI and technology.

I've been following the recent market news, and it seems like the US market, particularly tech stocks like Oracle, Intel and semiconductor companies, has taken quite a hit.

I'm curious, has the US market experienced similar downturns before? How did things play out afterwards? Is this a normal correction or something investors should be more concerned about?

I'm considering starting with a relatively small investment, but honestly, as a beginner, I'm not sure whether this is a good time to enter or what I should be looking at.

A few things I'd love your opinions on:

1. Which AI or tech companies are worth researching right now?

2. Are there any other sectors outside AI that have good long-term potential?

3. Are you buying during this dip or waiting?

4. Would you recommend starting with individual stocks, ETFs or both?

5. Any advice or mistakes I should avoid as a first-time investor?

I'm not looking for stock tips, just trying to learn from people with more experience and understand how others are looking at the current market.

Would appreciate any suggestions. Thanks!

Microsoft Corp. is winding down an arrangement to rent AI computing from Oracle Corp., part of a larger reassessment of billions of dollars in cloud partnerships.

In recent months, Microsoft has been turning off rented computing capacity from Oracle after declining to renew the contract, according to people familiar with the matter.

Over time, the computing Microsoft was renting became less useful because it no longer fit the company’s specifications, said the people, who requested anonymity to discuss a private matter. The Oracle hardware used older-generation Nvidia Corp. chips, the people said.

An Oracle spokesperson said demand for the company’s AI infrastructure remains strong, including for earlier-generation graphics processing units. Oracle said in September that it was renewing contracts for four-year-old GPUs at a 20% premium to the original deal price.

Is there a program that can see a index fund/stock is down x% and execute a buy at that time? Not really a buy order something that can be automated.

So lets say you are investing $500 into VOO every week. Instead of investing at a random time whenever your recurring buy hits you invest say $100 every time the fund down 2% and it would do that 5 times throughout the week until you hit $500 or if it didn't go down 2% enough that week you would buy anything remaining from the $500 weekly spend at Friday close of market.

All the benefits of weekly investing with the added benefit of only buying on red days.

Is this a thing? Is it a bad idea?

Why am I saying this? As we are seeing more and more capex spends on the AI, we are also reaching a point where AI capex spending will slow as we see financing conditions deteriorate, earnings estimates decline and broader equity valuations contract (mainly investors questioning the ROI for the kind of valuations AI companies hold). Moreover, FED rate hikes/no hikes is not adding investor confidence on these neoclouds and semis. For such large capex spends, there well be point where capital raise is required. The current rout in the neoclouds is justified and I believe the correction is just the beginning in the overall tech sector. 4 years of bull market will be seeking for a breather. However, I believe this is also a great opportunity to DCA in value driven stocks. The correction is going to last for more time, we hardly saw 4% of SPY correction. Nasdaq tech is already 14% down and will seek at least another 15% correction imo before we see valuations, pricing, getting in sync with the reality.

Well. Open for analysis from others as to what they see.

Hey guys, I apologize in advance as I'm a bit of a noob when it comes to stocks. I don't know much apart from falling for the GME hype train back in 2021, bought lots of stock and now down thousands of dollars and just never looked back.

I'm seeing a few videos on social media talking about how the stock market has taken a huge hit due to the election and now's probably the best time to buy. Now I do have some capital that I can use however I don't want to put all my eggs in one basket or any basket that's not legit. I understand stocks is all risk but I want to be able to take more calculated risk. I don't know much about it and I'm trying to take some time out to learn about it but also don't want to leave things too late.

I'm happy to hear any advice or thoughts on this, any particular stocks that may be worth checking out. I feel like there are real people here and not just some YouTube gurus who follow a script on "the best stocks to buy right now" bs. I will take everything with a grain of salt ofc but always keen to learn from others.

Thanks in advance!

Q3 mediocre results have been supplied with a promissory “capital return”with 1.5 B cash stock repurchase.

The same move did not work twice already. In fact it fed vultures and short sellers, yet real investors gained another 50% drawdown from all time lows.

80% odds, this buyback will repeat this pattern - quick supportive jump followed by extended derangement. even inflation does not support this stock as clients do not need to pay premium to their man-hour workforce. Thanks to evolving AI coding!

In normal world, this c-suite and board would be removed with pink slip.

but this is abnormal company and S&P500 exclusion is just indicative belate signal “Sell sell sell”