Powerpei

NVIDIA Q2 Revenue Reaches 96.2 Billion, Up More Than 100% Year Over Year
Guidance Is Even More Aggressive

For FY2028, growth of 70%—before Wall Street would only dare to project 45%

The stock surged 8.74% on the day; single-day market cap added $442 billion

My take: The most important part of this earnings report isn’t the numbers themselves—it answers a question that’s been hanging for two months: Has AI compute demand already peaked?

The answer is no.
And it’s accelerating.

The market was briefly led astray by DeepSeek—after reasoning efficiency improves, training demand would supposedly collapse.

But the 70% guidance tells you one thing: Big tech is still feverishly stockpiling GPUs, and order visibility is far higher than what Wall Street models assumed. Efficiency gains haven’t reduced demand; instead, they make more scenarios cost-effective. Demand is being unlocked—not replaced.

My own positioning logic hasn’t changed:
NVIDIA isn’t cheap, but it’s the toll gate across the entire AI infrastructure pipeline.

As long as downstream players keep expanding capacity, it keeps collecting tolls.
The thing that has truly made me hesitate has never been valuation—it’s only been the day when the customer starts cutting capex.
This earnings report tells me that day hasn’t arrived yet.

Take one step further: If NVIDIA says 70%, should upstream HBM, CoWoS packaging, and power infrastructure growth expectations also be revised upward? Those have not yet been priced in sufficiently.

The above is for personal information breakdown only and does not constitute any investment advice. DYOR $NVDA

This price action is pretty wild

It went from a market cap of a few thousand dollars all the way up to a few tens of millions. It got cut roughly in half several times in the middle, then rallied back again. Recently, from the lows it rebounded again with increased volume; the current price is about $0.058, up over 40% in 24h, and the market cap is back around 58 million

The previous high was about $0.077 (market cap close to 80 million). It’s still ranging within this box. Trading is active, with about 48,000 holder addresses

The attention brought by the film going viral is still there. But fundamentally, it’s a sentiment-driven market—up and down like this is normal. Don’t chase the price.
$牛来

On August 19, Moderna’s stock surged 177% in a single day.
From $63 straight up to $174. Its market value grew by nearly $45 billion in one day. On the day, the shorts had a paper loss of $5.5 billion.

A vaccine stock—
not AI, not chips, but a cancer vaccine.
——
Moderna and Merck collaborated on a personalized skin cancer vaccine, and the Phase 3 clinical trial succeeded.
In plain language: after cutting out the tumor, this vaccine significantly lowers the chances of cancer coming back and spreading.
Over the past two or three years, the market felt the mRNA pandemic dividend was over—Moderna was basically being treated like a forgotten corpse.
Then, one round of cancer data directly slapped that narrative in the face.
· · · ·
The next day it gave back more than 20%; the profit-taking crowd ran.
But on August 25, Barclays raised its target price, and it jumped another 14%, closing around 158.
It’s not a one-day drop and you’re dead. Someone is seriously re-pricing the story.
——
My take:
The AI narrative is too crowded. The market is extremely hungry for a “real breakthrough that isn’t AI.”
Anything that can prove “technology can still truly save lives” will be priced insanely.
I won’t chase it just because it spiked one day, and I won’t dismiss it just because it pulled back the next day. The scientific progress is real, but the pricing may be running ahead of commercialization. $MRNA

The hardest part isn’t finding trading opportunities.

It’s holding on when nobody around agrees with you and the charts have been dead for weeks. @osf_rekt said it perfectly.

I’ve been through it. I buy what I believe is undervalued, watch the timeline rotate through five different narratives, and my position just sits there, flat and lifeless.

Every day you doubt yourself. Whenever something else pumps, it feels like proof that you were wrong.

But that’s exactly the filtering mechanism. Most people can’t stand boredom. They need action. They need the screen to move.

So they sell too early, chase the next thing—over and over again.

Belief-based trading isn’t glamorous. There’s no screenshot of “I caught a 5-minute candlestick.” There are only weeks of silence, and then one day the thesis comes true—you realize the edge was never about the entry.

It was about the patience afterward.

“Find what you’re good at, and do as much of it as possible—not chase what you’re not good at.”

That’s the whole game. Respect.

Last week, U.S. Treasury yields suddenly spiked, startling the whole market

This week (Aug 24–28) is even more intense
With AI earnings reports and the Fed’s stance—both laid bare in the same week

I’ll go over a few key points

//

On Wednesday night, Nvidia (NVDA) releases its earnings report after the close

This is the single most important event of the week—no question

Wall Street expected revenue: $91–95 billion, nearly doubling year over year

But the numbers themselves aren’t the main point

What everyone is really nervous about are three things:

➢ How smooth the chip transition is—Blackwell moving to the next generation, Vera Rubin
➢ Whether data-center orders are still booming
➢ Whether gross margin can keep holding around 75%
(Explanation: gross margin is how much gross profit you have left out of every 100 dollars in sales. 75% is already extremely high—the market worries it could drop.)

If Nvidia’s guidance for the next quarter beats expectations → people will feel that the AI investment cycle isn’t anywhere near over, and they’ll keep buying

If the guidance is conservative—even a little → highly valued tech stocks could all fall together

On the same day, Salesforce and CrowdStrike also report results

In other words, the entire AI software sector is being tested at once: Are you making real money with AI or not?

//

Macroeconomic data is also packed into this week
Core PCE and GDP revisions come out back-to-back

You can think of PCE as the inflation gauge the Fed cares about most

If this number comes in too high → it suggests inflation hasn’t cooled enough, interest rates may stay elevated for longer, and the stock market will face pressure

If it unexpectedly falls → tech stocks may finally catch their breath

//

On Thursday: the Jackson Hole annual symposium

Fed Chair Kevin Warsh is scheduled to speak

This event happens once a year. Global central bank governors all attend, and it’s one of the most important occasions when the Fed signals its intentions

With the 30-year Treasury yield just brushing the highest levels in nearly 20 years, the market really wants to know: What does the Fed think about this yield spike? Will it take action?

Every word Warsh says will be parsed line by line

//

In between, there are also consumer confidence, new home sales, and earnings from several retailers

These are more like background indicators
But they answer one question: Are ordinary people still spending?

//

So the core conflict this week is:

> In AI: the story is still accelerating, and Nvidia is the proving ground

> In interest rates: persistently high yields are compressing valuations

> For tech stocks this time, they have to answer two questions at once—whether growth is still there, and whether the cost of that growth gets eaten away by higher rates

A dog sticking a pipe pops up on the Robinhood Chain. pipedog ( $PIPEDOG )
Official quote: “this pipedog / he has pipe / he has question”
Pure Meme, community-consensus driven, no complex storyline.

//

Total supply is about 12.34 billion coins, fully circulating, with no unlock pressure.
Launched on July 28. The next day it touched an ATH above 0.005, then it later dropped by more than 60%.
It’s now around 0.0022, with a market cap of about $27 million.

//

What Meme coins are betting on is whether attention—and whether the chain itself—can bring traffic over.
I don’t hold any position; I’m just observing.
Stuff like this can rise by a few multiples, or fall to zero—there’s no in-between.
If you want to play—use spare money, keep a small position, and don’t get carried away.
Data as of August 23, 2026; refer to live market quotes for the latest.

The past few days’ performance of mRNA has been quite interesting

On August 19, Moderna and Merck (MSD) released interim Phase 3 results for their mRNA cancer vaccine

With a personalized vaccine plus Keytruda, it significantly outperformed Keytruda alone in melanoma

The trial enrolled 1,137 participants, and both the primary and secondary endpoints were met

Previous Phase 2b five-year data: recurrence risk reduced by 49%, and risk of distant metastasis reduced by 59%

On the day, the stock price jumped from 63 to 174, up 177%
The next day it fell 23%, closing at 133

//
Scientifically, this is a real breakthrough
For the first time, mRNA has proven itself in a large-scale Phase 3 cancer trial
It’s no longer just a COVID vaccine
But on the trading side, I won’t chase after it has already run up; even so, after the drop, MRNA is still 63% above the average analyst target price of 82.62

In the last quarter, the company had a net loss of 782 million, with revenue of 145 million
Personalized manufacturing, costs, approvals—every step takes time
Out of the 177% surge, how much was driven by sentiment and short-covering? The 23% drop the next day already provides part of the answer

//

Moderna indeed has an additional new story supported by data
But the current price has already priced in a lot of the optimism in advance
Don’t chase, and don’t deny it either
Wait for the full data—no rush
The above is purely my personal observations and not any investment advice. Dyor
$MRNA.US

SEC this week released a new rule proposal specifically targeting a registration exemption for crypto investment contracts.

Two paths:

The first is a one-time exemption, allowing issuances of up to $5 million within four years. The second allows issuances of up to $75 million every 12 months.

Both require the issuer to make principle-based, narrative disclosures to investors. The second threshold is higher—you must provide financial statements and continue with ongoing reporting.

In plain terms: the SEC is no longer blanketly saying “all token offerings are illegal,” but instead has provided a compliance pathway.
You can issue—but you have to disclose, be transparent, and follow the rules.

//

0xSammy mentioned that this couldn’t have better timing for $UMIA. I looked into the logic:

What UMiA is doing is capital formation for token-native projects plus a governance technology stack.

Simply put, they help projects issue tokens and raise funds in a compliant way, and build governance. They’ve already submitted Blockworks B1 transparency disclosures.

If these SEC exemption rules really take effect, then for infrastructure like Umia—“helping projects go through compliant issuance processes”—demand would ramp up directly.

Before there was a compliance channel, everyone could only operate in grey areas.

Now that there are clear rules, projects that want to do things the right way will need tools and services to help them meet disclosure requirements.

A few elements are indeed aligned: regulators are opening a window + the infrastructure is already being built + the token has visibly bounced today.
Whether it’s worth following, you decide. Early-stage projects + policy still in the proposal stage means there are plenty of uncertainties. DYOR.
#SEC

Last night, the Philadelphia Semiconductor Index fell by nearly 5%, closing at 11,992. Chip stocks were hit across the board, and the Nasdaq also dropped by 1.33%.

Two things came at the same time:
The 30-year U.S. Treasury yield spiked, once hitting a near 19-year high.
Long-term yields moved higher, meaning the market is repricing borrowing costs.
For a capital-intensive industry like semiconductors, the higher the interest rate, the more valuation pressure there is.

On the other side, tensions between the U.S. and Iran remained stuck around the Strait of Hormuz, pushing oil prices up. Higher oil prices → inflation expectations heat up → rate-cut expectations get pressured → growth stocks face continued strain. With both lines tightening at once, semiconductors are the first to get hit.

————

A 5% drop in a day isn’t unusual—PHLX Semiconductor has always been volatile. But the logic behind it is worth paying attention to: this isn’t a company’s earnings blow-up; it’s the macro environment changing.
Rates and geopolitics are both applying pressure. If long-term yields keep moving higher, the valuation “center” for semiconductors may need to adjust again.
In the short term, it’s a question of whether the selloff has flushed enough emotion. In the medium term, it’s about the direction of interest rates and how geopolitics evolves. Don’t rush to bottom-fish, and don’t panic either.
These are my personal observations; data should be verified against official disclosures.

In the AI sector, most tokens prop up their prices with narrative, and Venice is one of the few that speaks with real revenue.

On August 17, the founder, Erik Voorhees, announced that Venice.ai’s annualized revenue has surpassed $100 million.
A month ago, the figure was still $70 million.
After the news broke, $VVV surged 8%-10% within 24 hours, and trading volume increased noticeably.

What Venice.ai is doing isn’t complicated: it offers open-source AI services—text, image, and code generation—but the core selling point is privacy.
No user data is stored, and there’s no censorship.
It runs on the Base chain, founded by Erik Voorhees (that old OG from ShapeShift).

In tokenomics, there’s one design I think is pretty solid: platform revenue is directly used to buy back and burn VVV. More than 40% of the supply has already been burned, emissions are still steadily decreasing, and the goal is net deflation.
Staking lets you earn rewards, unlock Pro features, and also mint DIEM (daily AI inference allowance).

The price is currently around $12–13.

———

Monthly revenue jumped from $70 million to $100 million in one month. This kind of growth is hard data by AI token standards. It’s not painting a dream—it’s real people paying for its services.

The deflationary mechanism also directly ties revenue growth to token supply contraction.

Of course, crypto is volatile, and whether this growth can continue is another question. Personal observation—DYOR.

USD1 This week I got something really important:
A banking license.

On August 14, the U.S. Office of the Comptroller of the Currency (OCC) granted World Liberty Trust Company’s National Trust Bank license an initial conditional approval.

In plain English: USD1 can now issue and redeem on its own and manage its reserves. No need to rely entirely on third-party custody anymore (previously, most of this was handled by BitGo). Get the license and do it yourself.

This isn’t a typical commercial bank. It doesn’t take deposits or make loans. It’s a federally regulated entity dedicated to trusts and digital asset custody.

Reserves include cash, short-term U.S. Treasuries, and money market funds—things like that.

//

Why do I think this step matters more than the previous exchange listing or getting some celebrity endorsement?

In the stablecoin business, it ultimately comes down to one thing: whether institutions dare to put big money in.
What do institutions look at before they move money in?
Licensing, the regulatory framework, reserve transparency, and the redemption mechanism.

No matter how strong your political narrative is, without these, big capital won’t touch you.

Right now, USD1’s market cap is around the $4 billion range—about fourth in the stablecoin space. It’s deployed across multiple chains (Ethereum, BNB Chain, Solana, Tron).
Before this, it relied on the Trump label and topic-driven traffic to surge.

But after getting this license, it now has the legitimacy to compete on the same level as USDC.
Circle already has a New York trust license, and now World Liberty has a federal trust license too.

The race moves from “who has the toughest background” to “who’s more fully in a proper compliance framework.”

————

Of course, this is still only an initial conditional approval for now.
It must meet a minimum $20 million in Tier 1 capital and a series of compliance requirements. Even before final approval, it could still be revoked or changed.

We’re not at the finish line yet, but the direction is already very clear.

Earlier, I wrote about USD1 pulling in Cb’s people to become CBO. Now it has also obtained a federal license.
Looking at the two steps together, this project really is moving from political meme status toward becoming proper financial infrastructure.
Whether it will go all the way is another question. But at least each step is moving in the right direction.

The above content is for information disclosure only and does not constitute any investment advice. DYOR.
#USD1

Everyone is asking: Who will AI disrupt?

I recently turned the question around: Who is an AI company that can’t be defeated?

The answer is a class of companies called HALO.

Heavy Assets, Low Obsolescence — heavy assets, low replacement rates.

Mines, power generation equipment, offshore engineering vessel fleets, power grids, heavy machinery, logistics vehicle fleets, outdoor billboards.

The moat isn’t code and patents—it’s steel, land, ships, and factories.

You can’t use big models to mine minerals, and you can’t use GPT to lay undersea power cables.

And these companies are even the ones taking the money from AI, in reverse.

Do data centers need to be built? Then you have to buy backup generators, cooling systems, and upgrade the power grid.

If mining infrastructure needs to expand, then you have to buy heavy machinery.
They aren’t the enemies of AI—they’re the suppliers of AI infrastructure.

————

Two names I find interesting but not mainstream enough:

Finning International (FTT)

One of the world’s largest Caterpillar dealers. Data center primary and backup power demand directly becomes its orders. Its power business backlog is close to C$1.2 billion, while it also locks in the copper mine and oil & gas expansion cycle.

Subsea 7 (SUBC)

An offshore engineering contractor. It has a scarce fleet of cable-laying ships, with a backlog of $13.6 billion. If underwater data centers really take off—
seawater cooling, subsea power, and fiber-optic cable installation—
it’s all its work.

Others that are often included in this framework: Cummins, Eaton, Vertiv, Southern Copper, Lamar Advertising.

Goldman Sachs and BlackRock have already treated HALO as an official allocation direction this year. Roundhill even launched a dedicated ETF (ticker LOHA).

————

This kind of business doesn’t tell stories—it’s all about orders and backlog.
Valuations are a notch lower than tech stocks, and they get less attention.
But the combo of being hard for algorithms to eliminate and still getting paid from AI infrastructure makes it scarce in today’s market environment crowded with AI software.

Heavy-asset businesses have strong cycles, and volatility won’t be small.
Personal observation—data is based on official disclosures; DYOR.

#美股 #AI

Reddit to enter the S&P 500 next Tuesday—when the news came out that day, it jumped straight up by 12%+
A lot of people see the rise and think it must be a good-news “sell the news” situation.
But what I see isn’t that.

//

Tracking S&P 500 index funds—passive funds managing several trillion dollars.
When new stocks get added to the index, they have to buy to match the weights, regardless of whether this company is worth that price.
JPMorgan calculated it’s roughly about 16.7 million shares.
Reddit usually trades less than 6 million shares in a single day.

A buy order three times the usual daily volume—crammed into just a few days to be absorbed.
This isn’t the market suddenly deciding Reddit got “better.” It’s fund managers being forced by the rules to put money in.

I call this “forced-buy theater—
no connection to fundamentals; it’s simply supply and demand getting imbalanced in a short window.

//

But I won’t chase it just because of this.
Historically, the index-inclusion effect has kept fading.
In the 80s and 90s, it could generate 3%-7% of excess return; now it’s basically close to 0.
Liquidity is better and arbitrage is faster—when many mid-cap stocks move up, they may already have passive positions.

Individual hype stocks can still “pop.”
When Tesla was added to the index in 2020, it was an extreme case.
Reddit has high retail attention and is also tied to the AI-data narrative—so it’s not surprising that it can create a bubble in the short term.

But for stocks newly added to the S&P 500, over the following 1–3 years they typically end up performing at the peer group level or even lagging.

After the mechanical buying is done, you still have to get back to the real hard questions: ad monetization, user growth, and whether AI data can keep delivering on its promise.

Don’t mistake forced index-fund buying for the market “voting” #美股 #标普

Recently I noticed two small-/mid-cap names that have been pumping hard—let me jot them down.

► Cysic (CYS)

Around $1.5, up nearly 50% over 7 days. Trading volume exceeded $100 million, with a market cap of roughly $240 million.
It’s a decentralized computing network, specifically running ZK proofs and AI workloads. In plain terms, it turns computing power into a tradable resource layer.
Both ZK and AI are heavy consumers of compute. If on-chain compute can truly work as a business closed loop, there’s imagination/room for upside in this direction.

► AKEDO (AKE)

Around $0.01, up 25%-32% over 7 days. Trading volume is $140 million, with a market cap of roughly $220 million.
An AI-driven gaming and content creation engine, with a Launchpad. It sits at the intersection of AI + GameFi—short-term funds like this kind of narrative layered together.

//

Both are small caps with market caps in the $200M-plus range, driven by narrative, and suitable for fast rotation by short-term capital. When they rally hard, they can also dump just as aggressively—don’t chase the price. DYOR.

Trump signed a tax deal on unmanned systems this week. Let’s talk about it.

Imported drones and components will now have to pay very high taxes.

Large ones, including those with thermal imaging, get hit with a 100% increase. Small ones are also hit—25%—but the whole thing isn’t just about the finished aircraft.

Components are covered too.

This is what “hard-hitting” looks like. In the past, many U.S. drone companies’ playbook was to buy motors, ESCs, flight controllers, and batteries from China, ship them back, assemble them, and slap on “Made in the USA.”

Now, parts themselves have to be taxed heavily too. This route is effectively blocked—not by outright banning you from buying foreign drones, but by forcing you to move the entire supply chain back to the U.S.

//

The market’s first reaction is to hype up the finished-drone manufacturers.

Red Cat and Unusual Machines jumped massively that day, and UMAC surged 20%+.

But I’m not looking at that layer.

Finished-drone makers are mostly assembling. Component suppliers make the screens, chips, batteries.

The policy says you can’t use imported components anymore. So who can make these things domestically in the U.S. and capture the biggest benefits?

ESCs, flight controllers, lithium batteries, carbon-fiber frames.

China has a long-term cost advantage, and the U.S. has almost no domestic production capacity.

Now you’re being forced to cut suppliers. Whoever can first prove that the U.S. can manufacture the components in a compliant way will end up getting benefits from both military and civilian orders.

These companies have very small market caps—hundreds of millions to a few billion dollars—and very low attention.

But their growth rate could be much faster than the finished-drone “leaders” that have already hit the daily limit.

//

Everyone only sees the finished-drone makers going up. They haven’t seen the supply-chain restructuring one layer below yet.

After the tariff takes effect officially, these smaller suppliers may become the real focus. Their market-cap swings may be big too—don’t get too emotional.

These are my personal observations. Specific targets and data are subject to official disclosures. DYOR.

#美股

Three names keep reappearing on the hot search charts lately—let’s briefly talk about them

► HMM（Thinking Cat）

A thinking cat. The core joke is “that um… sound your brain makes before you place an order.” Pure meme—running on the Robinhood ecosystem chain, with no complex utility at all. It relies entirely on community sentiment and social spread. In the first 7 days, the price surge can easily multiply a few times—an archetypal early-stage high-volatility pick.

► FARTCOIN

A well-established AI-meme on Solana. Inspired by the Truth Terminal chatbot—“farting” humor, absurd to the core. Total supply is 1 billion, with almost everything circulating. Holders are over 160,000. It has already once surged to a high point, so it’s the kind of meme coin that has “historical status.” Part of the transaction fees are donated to rainforest protection, giving it an extra layer of narrative.

► CAP

This one is a bit different—more in the DeFi / credit protocol direction. The Covered Credit protocol on Ethereum issues cUSD and stcUSD. It provides guarantees for real-economy loans via the insurer, so depositors can receive more secure returns. CAP is a governance token. Recently, it has entered the spotlight due to protocol progress—an emerging theme with “actual product implementation.”

//

These three coins represent two current popular directions: pure meme speculation (HMM, FARTCOIN) and emerging protocol storytelling (CAP).
Common traits: small market caps, big volatility, fast rotation of short-term capital—huge pumps and dumps are completely normal.
Prices and data change in real time—refer to CoinGecko / CoinMarketCap’s latest quotes.

Meme and small-cap token risks are extremely high. Manage your position sizes well, and DYOR.

USD1 In the past two days, I did something more important than the last exchange listing.
Recruiting someone.

World Liberty Financial has officially announced that Ryan Ballantyne has officially joined. His title is Chief Business Officer.

What’s his background?

Coinbase Institutional, Head of Enterprise Client Strategy. Go further back—Deutsche Bank, Osprey Funds, with more than 30 years of experience in capital markets, derivatives, and asset management.

He’s not a crypto native. He’s a veteran who came up entirely through traditional financial institutions.

WLFI put it very plainly: he’s here to lead the global business strategy and partnerships, with a focus on accelerating USD1’s adoption in payments, enterprise treasury, capital markets, and the on-chain economy.

//

I think this move is more interesting than launching a new trading pair.
What was USD1’s biggest label before? Trump.

Political narrative, attention and meme-factor. Market cap shot up quickly, but how much has actually been implemented on the institutional side, on the payments side, and on the enterprise treasury side? Honestly, it’s still very early.

Now they’re adding someone who’s worked on institutional business at Coinbase as CBO—the direction is pretty clear.

No longer just telling the story with “whose dad is tougher.”

Now it’s about product strength, institutional channels, and penetrating real scenarios.

//

In the stablecoin space, USDT relies on trading volume and historical inertia, while USDC relies on compliance and the Coinbase channel. If USD1 only stays at the level of political narrative, the ceiling is very low—because narratives expire. But once payment rails, enterprise treasury integrations, and capital markets settlement are laid down, it creates stickiness.

Ryan Ballantyne’s appointment is essentially WLFI saying: We want to take the USDC path—but in our own way.
Whether they can pull it off remains to be seen. But at least the direction is right.

The information above comes from WLFI’s official announcements. Specific business progress will depend on the official follow-up disclosures. Don’t trust secondary retellings—including this post of mine.
#USD1

Today (Beijing Time 20:30) — US July CPI to be released

I’m watching this data closely for a simple reason: last week’s Non-Farm Payrolls delivered a major surprise.
Employment actually decreased by 23,000, while the market had expected an increase of 80,000—a huge gap.
Once the NFP came out, the probability of a September rate hike dropped from 60% to about 45–50%, essentially turning it into a fifty-fifty call.

CPI is the key variable in today’s game.

━━━━━ ◆ ━━━━━

Market expectations:

➤ Headline inflation: YoY around 3.4% (prior 3.5%), continuing to trend lower
➤ Core inflation (excluding food and energy): MoM about 0.2%, YoY about 2.5% (prior 2.6%)

The core MoM 0.2% threshold is critical.

If the number prints at 0.2% or below, the story of cooling employment plus easing inflation holds.
The probability of a September rate hike could fall further to below 30%; tech stocks, gold, and US Treasuries should react positively, while the US dollar faces downward pressure.

If core MoM comes in at 0.3%, everything flips.
Rate-hike concerns return, Treasury yields move higher, and pressure builds on risk assets.

━━━━━

My own view leans slightly toward a miss that doesn’t exceed expectations.
Gasoline prices clearly fell in July, and housing inflation is also gradually cooling. Goldman Sachs and HSBC are betting on a lower print, so I lean in that direction.

But one thing to watch: the new Fed Chair Warsh is relatively hawkish on inflation. At the July meeting, three officials supported a rate hike. If the CPI shows any signs of a rebound, the market’s reaction could be more aggressive than usual.

After the data is released, Nasdaq and tech stock futures will be the most sensitive indicators. I’ll first look at how they react.

Next up are tomorrow’s PPI and the end-of-month PCE. Together, the three data points will determine the policy rhythm for the rest of the year. Today is only the first card.

The above is for reference only and does not constitute investment advice. DYOR

#美股 #cpi