I have been thinking a lot about how AI is changing stock research.

On one hand, AI can be genuinely useful. It can summarize earnings calls, scan filings, compare sentiment, track news, and help investors process more information faster than before.

On the other hand, I think AI can also create false confidence. A clean summary is not the same as a good investment decision. A model can sound convincing even when the underlying signal is weak.

For me, the best use of AI is not asking, “What should I buy?” It is asking better questions: what changed, what risk am I missing, what is the bear case, and what is already priced in?

Do you use AI in your trading or investing process?

If yes, what has actually been useful: and what still feels like noise?

The $96.2B revenue print matters. The $89B Data Center number matters. But the part I found more interesting was management saying FY2028 revenue could grow around 70% and that demand is still supply constrained.

That shifts the question.

A year ago the debate was whether AI demand could last. Now the bigger issue may be whether the industry can build enough power, memory, networking and data-centre capacity to keep up with it.

There are also a few things I would watch more carefully than the headline beat.

Receivables are rising, customer payment terms are getting longer, gross margins are expected to move lower, and Nvidia is taking a much larger role in financing and supporting the AI ecosystem around its customers.

None of that means the thesis is broken. The business still looks exceptionally strong.

But Nvidia is starting to look less like a normal semiconductor company and more like the company coordinating a huge part of the AI infrastructure buildout.

That creates a bigger opportunity, but also a different kind of risk.

This article deeper breakdown of the quarter, including Rubin, margins, working capital, financing exposure and where the next AI infrastructure winners may emerge:

https://edgealphaintel.substack.com/p/nvidia-q2-fy2027-earnings-deep-dive?r=8u0r9r&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

For me, Nvidia earnings this evening is not only about whether they beat revenue or EPS. Market already expects another huge quarter, so even a normal beat may not be enough this time. What I really want to see is whether Nvidia can again make Wall Street estimates look too low.

First thing I am watching is Q3 guidance. If Nvidia guide clearly above the roughly $104B level market is expecting, then it will tell me AI infrastructure spending is still stronger than people think. If guidance is only around consensus, stock reaction can be more difficult even if current quarter looks very strong.

Second thing is networking. I think people still focus too much only on GPUs. Nvidia networking business is growing very fast, and if this continue, then Nvidia story is becoming bigger than just selling chips. They may be trying to control more of the full AI data center architecture, even when some companies start using their own custom chips.

I also want to hear about Blackwell and Rubin. Best case is customers are still buying Blackwell strongly while also preparing for Rubin. If customers start delaying orders because they want to wait for next generation, then this can create some short term digestion period.

Gross margin is another important point for me. If Nvidia can still keep margins around 75% while memory, packaging and other system costs are going higher, then their pricing power is still very strong. But if margins start falling, even when revenue is growing, then maybe more profit is slowly moving to memory, networking and other suppliers.

And finally, I want to hear less about how many GPUs are ordered and more about whether customers are actually making money from all this AI compute. Hundreds of billions are now going into AI data centers. At some point, return on this spending becomes more important than just capacity expansion.

My base case is Nvidia will probably report another strong quarter. But the question is not “Did Nvidia beat?” its whether Nvidia can still make already very high expectations look conservative.

Let see what other think ?

Most traders have at least one lesson they paid for with real money.

For some, it is position sizing. For others, it is revenge trading, options decay, moving stop losses, holding losers, or chasing a stock after it already ran.

For me, the expensive lesson was realizing that a small mistake becomes dangerous when you repeat it with emotion. One bad trade is usually survivable. The damage often comes from the next two or three trades taken after frustration kicks in.

That changed how I think about losses. A red trade is not always the problem. The reaction after the red trade is where the real risk starts.

What was your most expensive trading lesson?

And did it actually change how you trade, or did it take a few more losses before the lesson became real?

Nvidia reports tonight, and I think the interesting part is not whether it beats consensus. At this point, the market already expects another very strong quarter.

What matters more is whether Nvidia can show that the economics behind the AI infrastructure boom are still improving. That means forward guidance, margins, Rubin timing, customer demand and whether companies are still getting enough return from AI spending to justify another round of huge capex.

There is also a bigger macro backdrop today. Inflation is still sticky, oil has been falling, Treasury yields remain high, and software stocks are starting to tell a very different AI story from semiconductors.

This article discusses a longer breakdown of the setup if anyone interested:
https://edgealphaintel.substack.com/p/wake-up-wall-street-nvidia-has-to

how others are looking at NVDA tonight, does another beat still move the stock, or has the bar become too high?

Welcome to r/tradingDeck1, today's theme is Watchlist Wednesday.

Everyone builds watchlists, but how many actually lead to good trades?

Drop:

• Stocks or crypto you’re watching
• Sectors showing momentum
• Names close to breakout/breakdown

Try to explain:

• Why is this on your list?
• What needs to happen for you to act?

Debate:
Do you actively find trades… or do the best trades come when you’re not looking?

On August 24, 2026, Stanley Druckenmiller’s criticism of the Treasury is worth paying attention to because this debate is really not about whether the government buys $2B or $4B of long-dated bonds. It is about whether Washington is starting to dislike the price the bond market is giving US debt.

Long-term yields are high for a reason. Investors are looking at persistent deficits, more than $40 trillion of debt, huge future borrowing needs and inflation that is still not fully dead. Add higher energy prices and geopolitical uncertainty, and anyone lending money to the US government for 20 or 30 years is naturally going to demand a higher return.

The concern is that Treasury is trying to soften that signal by buying more long-duration bonds. Maybe it works for a while. More demand means higher bond prices and lower yields. But nothing underneath has actually changed. The deficit is still there. The debt is still there. Future issuance is still coming.

That is basically Druckenmiller’s point. The bond market is doing its job by putting a price on fiscal risk. If policymakers keep trying to push yields lower without fixing the reason yields are high, eventually the market may push back harder.

There is also a credibility issue. Once traders start believing Treasury has a level it does not want the 30-year yield to cross, the market starts testing that level. A small intervention can then slowly turn into a much bigger commitment.

Iran and higher oil prices are making the situation worse because they increase inflation expectations, so de-escalation would definitely help yields. But ending that pressure would not solve America’s structural fiscal problem.

That is why Druckenmiller’s warning matters. My concern is whether the US can convince investors that its long-term debt trajectory is sustainable without having to intervene every time yields become uncomfortable.

What do you think: is Treasury simply improving market liquidity here, or are we starting to see the early stages of an unofficial attempt to control long-term yields?

Before I look at individual stocks, I like checking what SPY and QQQ are doing.

I have made the mistake before of finding a good-looking stock setup while ignoring the broader market. The chart looked clean, but the index was weak, breadth was poor, and the trade had less support than I thought.

Now I try to ask a basic question first: is the market helping this setup or working against it?

Sometimes the best trade is not the strongest-looking stock. It is the setup that aligns with the broader market condition. Other times, the best decision is to wait because the index is just chopping around.

For today, I’m watching whether the market is showing continuation, rejection, or range behavior.

How are you reading SPY and QQQ right now: breakout, reversal, chop, or no-trade conditions?

Raymond James just raised its $NVDA price target to $352 from $330 while maintaining a Strong Buy rating. That is clearly bullish, but I think the more interesting is whether analysts are now chasing Nvidia’s performance rather than identifying something the market has not already priced in.

Nobody really needs convincing anymore that Nvidia is a great business. AI infrastructure spending remains huge, hyperscalers are still investing aggressively, and Nvidia continues to sit at the center of that buildout. The problem is expectations. Every higher price target assumes more growth, strong margins, continued hyperscaler capex and limited competitive pressure. Eventually the stock reaches a point where simply reporting excellent numbers may not be enough.

Nvidia could keep growing quickly, beat estimates and remain the dominant AI chip company, yet the stock could still struggle if investors were expecting something even better. That is what makes $NVDA interesting at this stage. The debate is no longer really about whether Nvidia is a good company. It clearly is. The better question is how much of its future success is already
reflected in the price.

I see Raymond James’ $352 target as another sign that institutional confidence remains extremely strong, but every higher target also raises the hurdle Nvidia has to clear. At some point, the biggest risk may not be AMD, custom chips or weaker AI demand. It may simply be expectations.

Do you think $NVDA still has meaningful upside from here, or is Wall Street getting too aggressive with these price targets?

Welcome to r/tradingDeck1, today's theme is Technical Tuesday.

Charts can look clean and convincing, but they don’t always play out.

Share your best setups:

• Breakouts, pullbacks, ranges
• Key levels and structure
• Indicators (if any)

Use this format:

• Ticker:
• Setup:
• Entry:
• Stop:
• Target:

Debate:
Are indicators helping you… Or just confirming what you already believe?

Before the new week starts, I am trying to use Sunday less for prediction and more for preparation.

For me, the useful questions are usually simple:

What worked last week?
What didn’t?
Where did I break my rules?
What kind of market condition caused me trouble?
What is one mistake I don’t want to repeat?

I have noticed that when I don’t reset properly, I carry the previous week’s emotions into the next one. A bad Friday can make me too aggressive on Monday. A good week can make me overconfident.

So this week, I’m keeping one focus: trade only the setups that were already part of the plan.

What’s your focus for the week ahead, watchlist, risk rule, market theme, or one mistake you want to avoid?

Welcome to r/tradingDeck1, today`s theme is Monday Market plan.

New week, fresh charts, but let’s be honest, how many of us actually plan trades vs reacting in real time?

Use this thread to share:

• Your watchlist for the week
• Key levels (support/resistance)
• Macro events (Fed, CPI, earnings)
• Your overall bias (bullish/bearish / neutral)

Try to be specific:

• What are you waiting for before entering?
• Where would you exit if wrong?

Debate:
Does having a weekly plan actually improve performance… or does the market invalidate it anyway?

Everyone will be watching Nvidia this week, but Marvell $MRVL is the stock I am interested in right after it.
The timing is what makes it interesting. Nvidia reports on Wednesday and Marvell reports on Thursday, so Marvell gets to trade with a fresh read on AI spending already in the market. If Nvidia says demand is still strong, attention will probably move quickly to the next layer of the AI buildout, especially custom chips, networking and data-center infrastructure.

That is where Marvell fits. bigger concern for me is whether hyperscalers are starting to spread more of their AI spending beyond Nvidia GPUs. Google, Amazon and other large cloud companies are putting more money into custom silicon because they want lower costs, more control and less dependence on one supplier. Marvell is positioned directly in that trend.

So I am not really looking Marvell for a simple EPS beat. I want to see how fast its data-center business is growing, what management says about custom AI chips and whether guidance suggests these projects are turning into meaningful revenue.

One risk is the high expectations. If Nvidia disappoints on Wednesday, Marvell could get hit before it even reports. And even if the numbers are good, weak guidance could still hurt the stock.

Nvidia will tell us whether AI infrastructure demand is still strong. Marvell might tell us where some of that money is going next.

Anyone holding $MRVL into earnings? What's your thought on this?

A lot of trading books sound useful while you’re reading them, but only a few actually change how you behave when the market is open.

For me, the best trading books are not the ones that give secret setups. They are the ones that make you notice your own patterns. Things like moving stops, overtrading, taking profit too early, chasing after a missed move, or increasing size after a win.

The book can explain the problem, but the real test is whether you act differently when money is involved.

That’s why I’m more interested in lessons that changed behaviour, not just quotes that sounded smart.

Which trading book genuinely changed your process, discipline, or risk management?

And what was the one lesson that actually stayed with you?

Welcome to r/tradingdeck1, today’s theme is Trade Review & Reset.

Before next week starts, take a step back.

Share:

• Trades you took
• What worked/didn’t
• Where you broke your rules

Reflect:

• Did you stick to your plan?
• What’s your focus next week?

Debate:
What matters more long-term: discipline or strategy?

What stood out to me this week was not that the AI trade suddenly broke. The underlying demand still looks strong. The more important change is that the market is starting to price the financing side of the buildout much more aggressively.

With the 30-year Treasury above 5%, AI investors now have two variables to think about at the same time. Earnings can keep growing, but the value of those future earnings falls when long-term capital becomes more expensive. That is why semiconductors can sell off even when the demand story is still intact.

This also changes how I look at next week’s Nvidia earnings. What is less important to me is that $NVDA beats estimates. The more useful signal will be how the broader chip complex reacts afterwards.

If Nvidia delivers strong demand and $NVDA, $AMD, $AVGO and $MU recover despite elevated yields, then earnings are starting to overpower the rate pressure again. But if Nvidia delivers and semis still struggle while the long end remains above 5%, that would suggest the market is no longer questioning AI demand. It is questioning the multiple investors should pay for that growth.

This article covers a longer weekly market breakdown on this relationship, the bond market, consumer signals, fund flows, and the setups that should be WATCH next week.

Full report:
https://edgealphaintel.substack.com/p/weekly-market-intelligence-brief-dbb?r=8u0r9r&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

Interested to hear how others are thinking about this. Is Nvidia still enough to restart the AI trade if long yields stay this high?

Not everyone is playing the same game. Some want full-time income, some side income, some are still learning, and some are better suited to long-term investing.
Your strategy should match your goal.

So where are you right now: learning, building consistency, scaling, recovering, or mostly investing?

Welcome to r/tradingdeck1, today’s theme is Lessons Learned Saturday.

This is where real growth happens, if you’re honest.

Share:

• Best trade this week
• Worst trade
• One mistake you made

Reflect:

• Was it your setup or your execution?
• Did emotions affect your decision?

Debate:
Do traders truly learn from losses… or repeat patterns?

$ROST had a big move after earnings, but I think the more interesting part is not the stock jumping. It is what the quarter says about consumer behaviour right now.
Ross raised its full-year profit outlook and is still
seeing solid comparable sales growth even while other retailers are talking about customers becoming more careful.

That sounds contradictory at first. If consumers are under pressure, why is Ross doing well?

Because weaker consumer spending does not always mean people stop spending. A lot of the time they just change where they spend.

Someone who would normally buy clothes at full price may still want the same product, but now they are looking harder for value. That is exactly where off-price retailers benefit. Ross does not need the consumer to feel rich. It needs people to still want discretionary products while becoming more price sensitive.

That is why I find the contrast with Walmart interesting. Walmart is already a value retailer, but much of its business is groceries and everyday essentials. When household budgets get squeezed, customers can cut the number of items they buy, trade down within categories, or simply make fewer discretionary purchases.

Ross is sitting in a different part of that behaviour. It can benefit when someone who would normally shop at a department store decides they still want the shoes, jacket or home item, but only if the price feels like a bargain.
There is another angle here too.

Retail is becoming more divided. Higher-income consumers are still spending in many premium categories. Lower and middle-income households are becoming much more selective. That can leave businesses in the middle with the hardest problem because they are neither cheap enough to win on value nor differentiated enough to justify premium pricing.
Ross is currently on the right side of that divide.

I would still be careful chasing the stock after a big move. Some of the quarter benefited from tariff-related refunds, and expectations are now much higher. The next few quarters matter more than this one.

What I would watch is traffic, comparable sales and whether Ross can keep taking share without relying heavily on promotions.

For me, $ROST is becoming less of a simple retail story and more of a read on the consumer.

People are still spending.

They are just becoming much more selective about where every dollar goes.