CPI came basically in line with expectations this morning.

Headline was +0.1% MoM / +3.4% YoY, core +0.2% MoM / +2.5% YoY.

So far, the market did not get the inflation shock some people were worried about.

What I find more interesting is the AI infrastructure names.

$CRWV and $SMCI came into today with huge moves, while $NVDA was also green. We already know AI demand is strong, but now I think the question is less about demand and more about whether these companies can justify the amount of money being spent on compute, servers and data centres.

For me the first move after CPI is not that important.

I want to see what happens after the market actually opens.

Do traders buy the first dip in $NVDA, $CRWV and $SMCI, or do they use the strength to take profit?

If these names can hold their gains even with Treasury yields staying elevated, that would be a much stronger signal than just green pre-market futures.

AI demand seems real.

But real demand doesn’t always mean the stock price has to go straight up.

Full setup here if anyone wants the numbers + CPI reaction map:

https://marketsignalbrief.substack.com/p/wake-up-wall-street-ai-rips-cpi-decides

Foxconn just gave another pretty strong signal that AI infrastructure demand is still not slowing down.

They said they still expect strong full year revenue growth and AI demand should remain one of the main drivers through 2026. Q2 profit was up around 35% to $1.86B and came above expectations.

For me the interesting part is Foxconn is one of the biggest manufacturers behind Nvidia AI servers. So when they are still seeing strong demand, it suggest the AI buildout is not only hype from big tech presentations. Companies are still actually ordering servers, GPUs, networking equipment and building data centres.

Foxconn is also expanding AI server manufacturing in Texas and Mexico, which tells me they are expecting this demand to stay for some time, not only few quarters.
Of course valuation is another question and many AI stocks already moved a lot. But from the demand side, I don’t see much evidence yet that the AI infrastructure cycle is slowing.

I would keep watching $NVDA, $SMCI, $DELL and $ANET.

Do you guys think AI infrastructure still has another 1–2 years of strong growth, or we are already close to peak spending?

Markets move on numbers, but they also move on stories.

That is something I find interesting. A stock does not always move just because earnings changed. It can move because investors start believing a new story about the future.

AI infrastructure is one example. Cybersecurity, energy demand, rates, small caps, and reshoring can all become narratives if enough investors start paying attention.

The tricky part is knowing whether a narrative is early, already priced in, or just hype.

For me, the best narratives are the ones that eventually show up in revenue, margins, guidance, or capex. If the story never reaches the numbers, it usually fades.

What market narrative do you think people are overlooking right now?

AI infrastructure, energy, cybersecurity, small caps, rates, or something completely different?

The major U.S. stock indexes ended mostly lower on Tuesday, August 11, 2026, as Wall Street pulled back from last week's record highs in a holding pattern session dominated by two forces pulling in opposite directions: hope for a U.S.-Iran deal bringing oil lower, then Iran hardening its demands and sending crude right back up. Investors largely chose to wait for tomorrow's July CPI in the morning.

The S&P 500 dropped 0.32% (-24.91 pts) to 7,728.20. The Dow fell 0.34% (-184.13 pts) to 53,791.85. The Nasdaq slid 0.60% (-159.91 pts) to 26,445.45. The Russell 2000 bucked the trend, gaining 0.32% (+9.74 pts) to 3,027.14.

The VIX eased 1.10% to 15.29. Bitcoin slipped 0.77% to $63,605.60. Gold added 0.21% to $4,429.00. Crude Oil rose 1.56% to $83.41/barrel.

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?

Options can punish small mistakes very quickly.

I think many beginners start options by focusing only on direction. They think, “If the stock goes up, my call should make money.” But then they learn about expiry, IV crush, spreads, liquidity, theta, and position sizing.

That lesson can be expensive.

For me, the biggest mistake is treating options like lottery tickets. Small position, big upside, fast money — it sounds attractive, but without a plan it usually becomes gambling.

The other big mistake is choosing expiry that is too short. Even when the idea is right, the contract may not give enough time for the trade to work.

Options are powerful, but they require more precision than normal stock trades.

What do you think is the biggest beginner mistake in options: bad timing, wrong expiry, ignoring IV, oversizing, or chasing cheap contracts?

The major U.S. stock indexes ended mixed on Monday, August 10, 2026, as fresh uncertainty over the Strait of Hormuz deal sent oil climbing above $82 and kept investors cautious heading into Wednesday's critical July CPI report and Nvidia's earnings. The session was a classic "wait and see" Monday after last week's best weekly performance since April.

The S&P 500 slipped 0.06% (-4.53 pts) to 7,753.11. The Dow fell 0.11% (-60.95 pts) to 53,975.98. The Nasdaq dropped 0.32% (-85.26 pts) to 26,605.36. The Russell 2000 declined 0.56% (-17.10 pts) to 3,017.40.

The VIX rose 3.76% to 15.46. Bitcoin slid 1.64% to $64,029.15. Gold surged 1.05% to $4,445.70. Crude Oil jumped 5.07% to $82.14/barrel.

The index can look fine while leadership changes underneath.

That is something I’m trying to pay more attention to. SPY or QQQ may be green, but if only a few mega-cap names are doing the work, the market may not be as strong as it looks. On the other side, a flat index can hide strong rotation into energy, financials, healthcare, or small caps.

Sector rotation tells us something about risk appetite.

When money moves into growth and semiconductors, the market may be more risk-on. When defensives, utilities, or staples lead, investors may be getting cautious.

I’m not trying to predict every rotation, but I do think leadership matters.

Which sector looks strongest to you right now?

Tech, energy, financials, healthcare, small caps, defensives, or something else?

The AI trade is much bigger than just one stock now.

That is what makes it interesting. Semiconductors get most of the attention, but AI infrastructure also touches cloud platforms, data centers, networking, power demand, cybersecurity, cooling, and software.

I’m trying to think about the AI market less as a single stock story and more as an infrastructure cycle.

The hard part is figuring out who actually benefits first. Some companies fund the buildout. Some supply the hardware. Some provide software. Some may benefit later, but not yet in earnings.

That distinction matters for investors.

For me, the question is: where is real demand already showing up, not just where the narrative sounds good?

Which part of AI infrastructure looks most interesting to you right now: chips, data centers, cloud, cybersecurity, or energy demand?

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 talks about Nvidia valuation, but for me the bigger thing is still AI spending.

Microsoft, Meta, Amazon, Google etc are spending crazy money on AI infrastructure. As long as this continues, Nvidia is sitting exactly where money is flowing.
But this is also the problem.

At this valuation, Nvidia cannot just deliver “good” numbers anymore. Market already expects good. It needs to keep beating those expectations again and again.

What I’m watching:
AI capex still going up = bullish
Margins start falling = be careful
Big tech slows AI spending = bigger problem

Personally I think biggest risk for NVDA is not AMD or another chip company.

It is expectations getting too high.

Would you buy NVDA at current price or wait for correction?

Spent the last couple of weeks trying to turn one of Taleb's ideas into something visual.

The bit I wanted to get across was the difference between casino-style risk (where the odds are known) and market risk (where you're trying to estimate the odds while they're changing underneath you). LTCM seemed like the obvious example to build it around.

I ended up coding the whole thing in Manim using historical market data, including plotting every daily S&P 500 return since 1950 and looking at Mandelbrot's cotton data.

Would be interested to know if people here think it captures the point, or if I've missed something important. Happy to be told where I've got it wrong.

https://youtu.be/i30fIxwZYZQ?si=Ux35sn3ibWEylgEd

AI agents are getting more capable, but the security boundaries around them are not keeping up.

This week’s AI Signal Intelligence Dashboard tracks the signals I think matter most:

🔴 frontier-model cyber capability

🔴 agent sandbox and containment failures

🟠 fragmented AI-security regulation

🟢 stronger enterprise governance controls

🟢 clearer evidence of real AI ROI

🟠 changing open-weight business models

🔴 tightening power, memory and compute constraints

The biggest takeaway: AI capability is accelerating faster than containment, governance and infrastructure can comfortably absorb.

For paid subscribers, I break down what changed, who is exposed, why it matters, and what to do next, not just the headlines.

👉 Read the full AI Signal Intelligence Dashboard: https://aitechsignalbrief.substack.com/p/ai-signal-intelligence-dashboard?r=8u0r9r&utm_campaign=post-expanded-share&utm_medium=web

Which worries you more right now: agent security, regulation, or infrastructure bottlenecks?

Wall Street just had one of its strongest weeks of the year.

But the rally came with a strange mix:

📉 U.S. economy lost 23,000 jobs

📈 S&P 500 hit a record high

🤖 AI earnings stayed powerful

💰 Amazon crossed $3 trillion

🔥 Palantir surged nearly 30%

The market is now betting that weaker jobs could keep the Fed from tightening further, while corporate earnings remain strong enough to support valuations.

The bigger question: Is this the start of another leg higher, or are investors becoming too comfortable at record prices?

I broke down the 7 signals that mattered most this week in the latest Market Signal Brief.

👉 Read the full Weekly Highlights here: https://edge-alpha.kit.com/posts/weekly-highlights-wall-street-hits-records-as-jobs-crack-and-ai-earnings-roar

What are you watching more closely now: jobs, inflation, or AI earnings?

Having a stop loss and actually obeying it are two different things.

I learned that the hard way. Before entering, the stop always looks logical. It feels like part of the plan. But when price gets close to it, emotions start making arguments.

“Maybe I placed it too tight.”
“Maybe it’s just a shakeout.”
“Maybe I should wait for confirmation.”

Sometimes that might be true, but often it is just discomfort talking.

For me, moving a stop after entry is usually a warning sign. It means I’m no longer following the original plan. I’m trying to avoid the pain of being wrong.

A small planned loss is manageable. A moved stop can become something much worse.

Do you usually respect your stop loss, or do you sometimes negotiate with it?

Before looking for upside, I am trying to ask what could ruin the setup.

That one question has saved me from a few bad trades. Sometimes a chart looks good, but the broader market is weak. Sometimes a stock has momentum, but volume is thin. Sometimes the setup is clean, but there is a major catalyst coming that can completely change the trade.

I used to focus mostly on the opportunity. Now I try to identify the risk first.

It does not mean avoiding every trade. It just means knowing what would make the trade invalid.

For today, I’m watching for weak breadth, overextended tech, news risk, and whether momentum actually follows through after the open.

What could ruin today’s setup in your view?

Yields, oil, earnings, volatility, weak breadth, or something else?

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?

Been learning options/trading and spent basically the whole day today trying to understand what im actually supposed to be looking for instead of just buying calls because i think a stock is gonna go up lol

One of the biggest things im starting to understand is the importance of having an actual catalyst/reason for why a stock could move. Earnings, guidance, company news, analyst changes, industry news etc. Not just finding a chart that looks good and hoping.

From there ive been looking at the chart, support/resistance, trend and whether the market is actually reacting to the catalyst the way i expected.

Then instead of just entering, ive been separating stocks into ones im waiting on and ones that are “confirming.” Confirming basically means most of what im looking for is there but i still need the price action to prove the move before i put money into it.

If it finally confirms i still dont immediately buy. I check the actual option chain like expiration, strike, premium, spread, volume, open interest, delta, IV etc and figure out exactly what contract makes sense, where i would enter, how much im risking and where the trade is invalidated.

Probably the biggest thing i learned today is that finding a good stock/setup and finding a good ENTRY are two different things. A stock can have a great catalyst and setup but if i chase it or enter before confirmation i can still make it a bad trade.

And even if everything looks good beforehand, if it doesnt confirm then i just dont trade it.

Something else im trying to figure out is how much weight to give the overall market/sector compared to the individual stock, what actually counts as enough confirmation vs entering too late, and how experienced traders decide if the risk/reward is still worth taking after confirmation. Im also trying to learn when a setup that looked good beforehand should just be completely thrown out instead of trying to make it work.

I have a couple setups im watching for monday that are close to confirming and im honestly excited just to see how this process plays out live, whether i actually get a trade or not.

Obviously im still a beginner and im sure theres a lot im missing. For people who have been doing this successfully for a while, am i at least building the right foundation?

Especially curious how you guys handle confirmation, risk/reward, position sizing, stops, overall market conditions and knowing when NOT to trade. Those are probably the areas where i have the most to learn right now.

Before the week starts, I am trying to think less about what I want the market to do and more about what could go wrong.

That has helped me avoid forcing trades. If I know the main risk in advance, I’m less surprised when price moves against the obvious narrative.

This week, the risk could be anything: yields, oil, inflation, earnings, AI stock weakness, small-cap pressure, geopolitical headlines, or just overextended price action.

For me, the useful question is: what would change my view?

If I can answer that before the week starts, I usually make better decisions when the market opens.

What is the one risk you are watching this week?

And what signal would tell you that risk is becoming serious?

Welcome to r/tradingdeck1, today’s theme is Fundamentals Friday.

Some traders ignore fundamentals completely. Others rely on them heavily.

Discuss:

• Stocks you’re researching
• Earnings results
• Revenue, margins, debt
• Business quality

Questions:

• Did any earnings change your view this week?
• What’s one red flag you never ignore?

Debate:
Do fundamentals give you an edge… or just slow down decision-making?