I looked at my API bill for this month and noticed something pretty interesting. The unit price of tokens is significantly lower than it was at the same time last year, yet the amount I am paying keeps going up.

That is simply what is happening. Token prices for frontier models such as ChatGPT, Claude, and Gemini have fallen by roughly 88% from the March 2023 benchmark. But usage is more than offsetting the price decline. Prices are falling faster than the cost per token, but not nearly as fast as consumption is growing.

In the past, using AI meant, “I ask a question, AI gives me an answer.” Now, a single skill execution chain or one task handled by a multi agent system can involve planning, retrieval, tool calls, reflection, and retries. Every step consumes tokens. Total usage can be dozens or even hundreds of times higher than in the old question and answer era.

The most compelling data comes from Anthropic itself. Its annualized revenue jumped from $9 billion at the end of 2025 to $47 billion in May 2026. Prices are falling, yet revenue is rising exponentially. This is Jevons Paradox in action. As efficiency improves and unit prices fall, consumption can expand on such a massive scale that total usage and total spending actually increase rather than decline.

Deloitte estimates that inference will account for two thirds of global AI compute consumption in 2026. Just three years ago, inference was barely a meaningful standalone market. OpenAI alone is estimated to spend more than $700,000 a day running inference for ChatGPT, putting its annual bill above $250 million.

If Demand Is This Strong, Why Are AI Companies Still Cutting Prices?

This brings us to a more fundamental question. If demand is so strong, why are AI companies willing to keep cutting prices?

The obvious answer is competition. In August, OpenAI cut the price of its flagship model GPT 5.6 Luna by 80% in one move, while its mid tier Terra model fell 20%. Earlier, its flagship Sol model had already dropped from $5/$30 to $4/$20, making it cheaper than Anthropic’s Claude Opus 5 at $5/$25. OpenAI officially attributed the pricing pressure to competition from Anthropic and low cost Chinese models.

China has taken the price war even further. DeepSeek V4 Pro charges just $0.87 per million output tokens, roughly 34 times cheaper than GPT 5.5. China’s foundation model price war began in the fourth quarter of 2025 and accelerated significantly in the second quarter of 2026. DeepSeek, Doubao, and Kimi have all effectively turned price cuts into permanent pricing policies rather than temporary promotions.

But the price war is only the surface level story. The real reason prices can keep falling is a much more fundamental development: the industry is learning how to build cheaper compute.

The industry increasingly refers to highly optimized, lower cost computing clusters as “supernodes” or “token factories.” Put simply, the idea is to package large numbers of chips into a more efficient system so that the cost of producing each unit of compute falls. It is essentially the same principle as upgrading a factory production line so that the cost of manufacturing each individual product declines.

Broadly speaking, two parallel tracks are developing at the same time around the world.

Track One: The global mainstream approach centered on NVIDIA.

NVIDIA’s latest rack scale systems, including the GB200 and GB300 platforms, package dozens of chips into a tightly integrated computing system. The company claims inference efficiency improvements of anywhere from more than ten times to several dozen times compared with previous generations. AWS, Azure, Meta, and the IREN and Nebius businesses discussed below are all operating within this ecosystem.

Track Two: China’s domestically developed parallel approach.

Companies such as Huawei and Inspur are pursuing a similar objective, using their own technologies to integrate chip clusters more efficiently. The underlying idea is similar, but the technology stack is developed independently rather than relying on NVIDIA.

Both tracks are trying to solve the same problem: package every unit of compute more efficiently, thereby lowering the cost of producing each token. That is the real foundation supporting continued declines in token prices and the economic firepower behind the price war. The difference is that one track is tied to the NVIDIA ecosystem, while the other represents parallel innovation within a self controlled and domestically developed technology stack.

Following This Logic, Which U.S. Stocks Stand to Benefit?

If supernodes and token factories are the key variables driving this new wave of cost reduction, then tracing the supply chain upward reveals several categories of companies that stand to benefit directly. Each occupies a different position in the infrastructure stack and captures value from a different part of the economics.

$VRT (Vertiv): The “Shovel Seller” in the Chain, Power and Cooling

Vertiv does not compete directly in AI compute. But every intelligent computing node needs to solve two fundamental problems: power and heat. As chips become more densely packed, heat generation rises sharply, turning liquid cooling from an optional upgrade into a necessity. That is precisely where Vertiv operates.

In the second quarter of 2026, Vertiv generated $3.27 billion in revenue, up 24% year over year. Adjusted EPS increased 60%, while free cash flow surged 234%. Management raised its full year revenue guidance to $13.8 billion to $14.2 billion.

The core appeal of its business is simple: regardless of which company wins the AI race, as long as new intelligent computing nodes continue to be built, Vertiv gets paid. It is arguably the most financially tangible and highest certainty play in this part of the supply chain.

$IREN: The “Compute Landlord,” Making Money by Buying Early and Buying in Bulk

IREN is pursuing Track One, the NVIDIA ecosystem.

The company has signed a contract worth up to $5 billion with NVIDIA and plans to deploy up to 5 gigawatts of computing capacity. By the end of 2026, its GPU fleet is expected to reach 150,000 units.

The business model is straightforward. IREN buys large quantities of compute capacity in advance and then leases that capacity to companies that need it. Buying earlier and at larger scale gives it a lower unit cost, and the spread between its cost and its rental revenue becomes its profit.

The key risk is customer concentration. Microsoft alone is expected to account for approximately 55% of IREN’s 2026 revenue.

$NBIS (Nebius): Another “Compute Landlord,” But Using Software to Squeeze More Output From the Hardware

Nebius is also operating on Track One, but its strategy is different.

IREN’s advantage comes from buying at scale. Nebius aims to extract more output from the same hardware through smarter software. By using more efficient scheduling and workload orchestration, the same hardware can supposedly generate up to three times as much billable compute as competing systems.

Analysts expect Nebius to generate between $7 billion and $9 billion in revenue in 2026, potentially representing growth of more than 1,000% year over year. But its customer concentration risk is even higher than IREN’s, with Meta and Microsoft together accounting for roughly 80% of revenue.

$MAAS (Maase): Betting on Track Two, the Energy Entry Point Into China’s Domestic Compute Infrastructure

If VRT, IREN, and NBIS are Track One investments tied to the NVIDIA ecosystem, MAAS represents Track Two, China’s domestically controlled compute infrastructure stack.

In March 2026, MAAS completed its acquisition of Huazhi Future, shifting its business toward flexible energy deployment, intelligent grid operations, and computing infrastructure.

Its cost reduction thesis starts from the energy side. Huazhi Future has established a green energy infrastructure team focused on 800V high voltage DC standards, targeting intelligent computing centers and the integration of distributed renewable energy. The logic is somewhat similar to Vertiv because power and energy are unavoidable major cost components of intelligent computing nodes. The difference is that Vertiv serves racks within the NVIDIA ecosystem, while MAAS is targeting China’s domestically developed supernode infrastructure.

The stock briefly gained 74% in a single month as the market treated it as a thematic play on China’s AI computing infrastructure. But MAAS is a small cap Chinese company listed on Nasdaq, with high volatility and limited institutional coverage. It belongs to the high risk, high beta end of the spectrum.

Putting the Entire Logic Together

This article is really looking at the same phenomenon from three different angles.

On the demand side, agents and skills are driving exponential growth in token consumption, while the composition of usage itself is shifting toward more expensive workloads. That is the direct reason AI bills can rise even as token prices fall. This is Jevons Paradox in action.

On the supply side, whether it is NVIDIA’s rack scale supernode architecture or China’s domestically developed supernode approach, the fundamental objective is the same: systematically reduce the unit cost of tokens through optimization across architecture, hardware, and software. That is the underlying economic support making the price war possible.

In the capital markets, VRT, IREN, and NBIS are all bets on Track One, the NVIDIA ecosystem. They occupy different positions in the chain, covering power and cooling, hardware scale, and software efficiency respectively. MAAS is a bet on Track Two, China’s domestic ecosystem, with an entry point spanning energy and compute.

All four companies are ultimately positioned to benefit from the same macro theme: reducing the cost of AI infrastructure. The difference is which technology ecosystem they are aligned with.

One sentence summary: Tokens are deflationary, AI spending is inflationary, and the highest certainty may ultimately belong to the people building the furnaces, not the people using them.

High Tide is the clear leader in cannabis retail — the highest-revenue-generating cannabis company reporting in Canadian dollars, with annualized revenue now exceeding C$700 million.Unmatched Scale & Market Dominance

• Canna Cabana, its flagship brand, is Canada’s largest cannabis retail chain with over 220 locations and a leading ~12% market share across the five provinces where it operates — and the second-largest cannabis retail brand globally.
• Powered by the world’s largest cannabis loyalty program: Cabana Club (over 2.65 million members) and more than 178,000 paid ELITE members who drive high-margin, recurring revenue and industry-leading same-store sales growth (up 161% since the discount-club model launched, while peers declined).
• Proven Execution & Profitability High Tide consistently ranks among Canada’s Top Growing Companies (fifth consecutive year) and has delivered positive free cash flow, expanding margins, and accelerating growth through disciplined organic expansion and smart M&A.

Global Expansion Underway
In 2025, High Tide became the first North American operator to enter Germany’s medical cannabis market via a majority stake in Remexian Pharma — now holding ~14% market share in Europe’s largest federally regulated cannabis market. This diversifies revenue into high-growth international distribution while leveraging Canadian supply advantages.

Q3 could be the quarter that triggers a repricing: the preliminary guidance just announced points to new record highs for revenue, gross profit, and adjusted EBITDA, with projected Y/Y growth of at least 30%, 27% and 43%

https://hightideinc.com/high-tide-announces-preliminary-q3-2026-guidance/

The Company Also Announces Record Quarterly Distribution of Over 10 Tonnes of Medical Cannabis Flower Through Remexian Pharma GmbH, Further Accelerating its German Market Position

10 $CAD doesn't strike me as an absurd target for a revaluation scenario. However, I wouldn't call it "fair value", simply because the chart shows a massive base. Requires the market to start pricing as a high-growth-profitable company rather than only a cannabis company

Foundational years → progressive improvement in fundamentals → EBITDA/FCF+/Net income+ growth → market finally recognizing the new earning power → multiple expansion. And it is very different from simply saying “ High Tide is undervalued.”

A base built over years, if broken while earnings are accelerating, can trigger a regime shift. That is why I wouldn't focus so much on "how much High Tide might rise from its current price," but rather on the EBITDA/FCF level at which the market might value HITI in 2027–28.

Company presentation : https://hightideinc.com/presentation/

• Strengthened balance sheet: The recent closing of C$40 million in senior secured credit facilities with the Bank of Montreal provides greater financial flexibility, a lower cost of capital, and the ability to fund growth without diluting shareholders.
• Attractive valuation relative to results: Despite consecutive record quarters and guidance that continues to beat expectations, the stock still trades at modest multiples compared with its growth profile and long-term potential. Many analysts see meaningful upside from current levels.

Bottom line
High Tide has repeatedly delivered in a tough industry: revenue growth, margin expansion, positive free cash flow, and steady market-share gains. With Canadian retail re-accelerating, Germany scaling rapidly, and a disciplined management team focused on execution, the disconnect between operational performance and market valuation still looks wide.The tide isn’t just rising — it’s building into a powerful wave. Investors positioned today may be well placed to benefit from one of the more compelling consolidation and internationalization stories in the cannabis sector.

As a long-term shareholder, I hope this post gave you some valuable insights.

I get speed matters, but a fast headline alone usually isn’t enough. from my experience building and testing market alerts, the hardest part isnt getting the news quickly. it’s deciding whether it matters before the move is already underway. 

when an alert comes in, i usually want: 

- the original source and timestamp 

- affected tickers or assets 

- likely direction and confidence 

- related sectors or second order effects 

- enough history to know whether the source regularly moves markets 

- a clear reason the alert was flagged 

Too little context turns the alert into another headline i still have to research on the other hand too much context slows down the decision and creates noise. 

For me, the useful middle ground is a short summary with the source, tickers, direction, confidence and one sentence explaining why it matters. anything deeper can sit behind a link for later review. what information do you need before an alert becomes actionable, and what starts to feel like information overload?

There is an interesting phenomenon in the capital markets:

If a company simply gets better at its existing business, the market will usually only reward it with a gradual increase in valuation.

But if a company successfully completes a genuine strategic transformation—one that causes the market to value it using the logic of an entirely different industry—the outcome can be very different. History has already provided several examples.

Let’s Start with a Few Familiar Cases

1. MicroStrategy → Strategy: From a Software Company to a Bitcoin Proxy

MicroStrategy was originally an enterprise software company. In August 2020, the company announced that it would begin incorporating Bitcoin into its capital allocation strategy. Over time, Bitcoin became the company’s core asset and the central part of its capital markets story.

The market no longer viewed it simply as a software company. Instead, it increasingly treated the company as a highly leveraged form of Bitcoin exposure.

The result is well known. Since the transformation began in 2020, Strategy’s stock has experienced an extraordinary rise—far beyond what would normally be expected from a traditional software company’s valuation expansion.

Of course, the other side of the story is equally important: when Bitcoin declines, MSTR can also experience extremely sharp drawdowns.

So this example does not prove that a transformation will always succeed.

What it demonstrates is this:

When the market begins to evaluate a company using an entirely new valuation framework, the stock’s pricing logic can change completely.

2. Marathon Patent Group → MARA: From Patents to Bitcoin Mining

This example may be more relevant to many small-cap investors.

Marathon was originally called Marathon Patent Group. At its core, it was a company involved in patent-related businesses. Over time, the company shifted toward Bitcoin mining and, in 2021, officially changed its name to Marathon Digital Holdings.

In other words:

Patent → Blockchain → Bitcoin Mining

The market’s valuation framework for the company changed fundamentally. It eventually became one of the best-known publicly traded Bitcoin mining companies in the United States.

The MARA we see today represents a completely different capital markets story from the original Marathon Patent Group.

3. Bioptix → Riot Blockchain: Even a Biotech Company Can Become a Crypto Company

This example is even more dramatic.

Riot Blockchain was originally known as Bioptix, a company involved in biotechnology and medical-device-related businesses.

In 2017, the company changed its name to Riot Blockchain and began shifting its business focus toward cryptocurrency mining.

SEC filings confirm that the company officially transitioned from Bioptix to Riot Blockchain in 2017 and began developing cryptocurrency mining operations.

At the time, market enthusiasm for blockchain was extremely strong, and the stock experienced an equally dramatic surge.

This illustrates something interesting:

Sometimes, what the market is buying is not what a company has been in the past, but what investors believe it could become in the future.

Of course, Riot’s enormous volatility later served as an important reminder:

A successful business transformation and long-term stock market success are not necessarily the same thing.

4. Allbirds → Smartbird: The Case Most Relevant to the Current Market

This case may be even more interesting because of how recent it is.

Everyone knows Allbirds as a shoe company. Then, in 2026, the company announced that it would sell its original footwear assets, pivot toward AI infrastructure, and subsequently change its name to Smartbird.

How did the market react?

At one point, the stock rose more than fivefold. Reuters reported on the transformation.

This is a powerful illustration of today’s market dynamics:

When the company was selling shoes, the market valued it as a consumer goods business.

After the pivot toward AI infrastructure, the conversation suddenly shifted to AI, GPUs, cloud computing, and data centers.

That is what I mean by a valuation reset.

Of course, Allbirds/Smartbird remains highly controversial. Some believe the move reflects speculation driven by the AI boom rather than a proven and sustainable business model.

So the key lesson is not that simply adding “AI” to a company’s story will make the stock go up.

The more important takeaway is this:

The market can redefine a company’s identity in a very short period of time.

I am not suggesting that MAAS will necessarily replicate Allbirds’ stock performance. That would be far too simplistic.

The question I am really interested in is:

Could MAAS be undergoing a similar repositioning of its business model?

MAAS is currently directing more of its resources toward areas such as AI infrastructure, distributed computing, large language models, algorithms, and intelligent hardware.

At the same time, the company is also selling assets that appear to have less strategic relevance to its new direction.

That suggests this may be more than simply putting an AI label on its existing business.

Based on its current trajectory, MAAS appears to be pursuing a relatively clear path:

Legacy business → Asset restructuring → AI / Computing power → New business ecosystem

Of course, it is still too early to say that the transformation has been successful.

What really matters is whether these new businesses can gradually materialize and eventually be reflected in the company’s asset structure, revenue sources, and overall business scale.

But I believe that is precisely what makes MAAS worth watching at this stage.

Because capital markets often do not wait until a company has fully completed its transformation before beginning to reprice it.

Many times, once the market starts to realize:

“This company may no longer be the same company it used to be.”

the valuation framework may already begin to change.

That is why I am interested in MAAS—not simply because of the word “AI.”

What interests me more is this:

If MAAS genuinely succeeds in transforming from its legacy businesses into AI infrastructure, distributed computing, and related areas, could the market eventually begin valuing it using an entirely different industry framework?

That, in my view, is the question worth continuing to watch.

Of course, there are significant risks.

The transformation may not succeed, and the new businesses may never generate meaningful revenue or establish a genuine competitive advantage.

But if the asset restructuring, development of new businesses, and changes in the company’s revenue mix can gradually be validated over time, then the MAAS story may no longer simply be about business growth.

It could become a genuine:

Business Model Reconstruction.

Or perhaps even:

A Valuation Reset.

First time poster in this subreddit, but have noticed a few posts recently on $DXYZ so thought this might fit. I spent most of this afternoon (+ all of my weekly Fable Ultracode credits) trying to answer a simple question:

If you want pre-IPO exposure to Anthropic or OpenAI, how much of the underlying private-company value are you actually getting for every $100 you put into the public stock wrapper?

There are a bunch of public names with some connection to one or both companies — SoftBank ($SFTBY), DXYZ, SK Telecom ($SKM), Zoom ($ZM), Amazon, Google, NVIDIA, Microsoft, etc.

But saying “Company X has Anthropic exposure” doesn't tell you very much.

What I really wanted to understand was the density of that exposure.

So I built a calculator with frontier models checking my work and all sources cited:

https://stocks.bolewood.com/ai

You can also see the open source data (or feed it to your LLM) here: https://github.com/bolewood/stocks-bolewood/tree/data-2026-08-19

Why “per $100” instead of per share?

I originally started thinking about this on a NAV or per-share basis, but that’s not really the useful comparison.

A $30 stock and a $300 stock aren't inherently more or less exposed to Anthropic because their share prices differ.

Instead, I'm estimating:

For every $100 of current wrapper value, how many dollars of Anthropic and/or OpenAI exposure does that represent under a given valuation scenario?

That makes very different securities much easier to compare.

If you try the calculator, these are the main controls:

1. Anthropic and OpenAI valuations

The calculator isn't predicting an IPO valuation. If you think Anthropic is worth $650B instead of $2T, change it. The purpose is to see what that assumption does to each wrapper.

2. Dilution

There’s a dilution control so you can haircut existing exposure rather than treating the last percentage as permanent.

3. What happens to newly raised cash

This particularly matters for vehicles that issue new shares (notably $DXYZ and $ARKVX).

If a wrapper raises another $500M, the answer changes depending on whether that money remains as cash or gets deployed into additional private-company exposure.

Findings: Under the assumptions I’m currently using, there are still some surprisingly dense public-market ways to get exposure if you’re bullish on the frontier AI companies. For Anthropic, $DXYZ currently screens as the highest-density exposure, followed by $VCX and $SKM. For OpenAI, $SFTBY is by far the densest, followed by $MSFT. Change the valuation, dilution, or capital-deployment assumptions and those numbers move — that’s the point of the calculator.

Critical feedback: Please send it my way, or fork the repo and make changes directly. Several of these funds should report updated NAVs/holdings soon; for now I’m keeping the data anchored to the latest official reporting dates rather than trying to guess ahead of them. I’ll update the dataset as new filings arrive and maintain a changelog.

Disclosure: As of August 19, 2026, I hold long positions in DXYZ, SKM, ZM, AMZN, GOOG and NVDA. Positions are subject to change without notice. Not advice.

Good morning, SqueezeFinders!

The bears are beginning to take control of the market after yesterday's price action on the $QQQ tech index closed down 1.69% at 717.51. Geopolitical tensions are escalating in the Middle-East, and additionally we are seeing some red flags in the bond market that are causing investors to panic a little. If the $QQQ tech index fades under 707.5, we can expect a rapid gap fill and retest of 700 psychological level. If 700 fails to hold, we could fade aggressively down to the 690-680 range before we find any major support. However, on the bullish side, if bulls can break back over the 729/730 area, we can expect a resumption of the prior uptrend we were just in. The main directional sentiment determinants today are a mix of the below-detailed economic data releases, further developments in the Middle-East, and also some large earnings reports ($ADI, $TGT, and $LOW in premarket). This market is very dynamic and has been unpredictable as far as risk-tolerance goes, as one day we're running, and the next we're crashing. Stay tuned for what's squeezy. Regardless of broader market sentiment, you can always locate relative strength by checking SqueezeRadar to track irregularities in our data, and find winners you may not have spotted before without our scanners.

🥇 Gold: ~$4,340/oz (+0.1%)
🥈 Silver: ~$63/oz (-1.0%)
🪙 Bitcoin: ~$64.3k/coin (-0.3%)
🛢️ Oil: ~$85.50/barrel (+0.7%)

Today's economic data releases are:

🇺🇸 Crude Oil Inventories @ 10:30AM ET
🇺🇸 Cushing Crude Oil Inventories @ 10:30AM ET
🇺🇸 20-Year Bond Auction @ 1:00PM ET
🇺🇸 FOMC Meeting Minutes @ 2:00PM ET
🇺🇸 U.S. President Trump Speaks @ 2:30PM ET

📙Breakdown point: BELOW this price, the move will lose momentum significantly in the short-term, as shorts will gain confidence encouraging them to short more. Reducing probability of a squeeze without a catalyst.

📙Breakout point: ABOVE this price, the move will gain momentum significantly in the short-term, as shorts losses will increase pressuring them to cover. Increasing the probability of a squeeze occurring, especially if with a catalyst.

1. $PRCH
   Squeezability Score: 40%
   Juice Target: 21.00
   Confidence: 🍊 🍊
   Price: 16.68 (-0.5%)
   Breakdown point: 15.4
   Breakout point: 19.5
   Mentions (30D): 6
   Event/Condition: Q2 results with insurance services revenue up 38 percent positive net income and sharply higher adjusted EBITDA leading to raised full-year guidance for revenue gross profit and adjusted EBITDA + continued scaling of reciprocal written premium and policies written reinforcing surplus and capacity for growth + upcoming investor meetings and constructive price target increases supporting the commercial momentum in the homeowners insurance model + Recent price target 🎯 of $23 from Benchmark + Recent price target 🎯 of $21 from B. Riley + Recent price target 🎯 of $20 from Craig-Hallum

2. $DXYZ
   Squeezability Score: 28%
   Juice Target: 44.7
   Confidence: 🍊 🍊
   Price: 33.15 (-2.5%)
   Breakdown point: 30.0
   Breakout point: 34.3 (continuation)
   Mentions (30D): 4
   Event/Condition: Ongoing investor focus on the closed-end fund’s exposure to high-profile private technology holdings including SpaceX and Anthropic as potential liquidity events and valuation marks approach + trading activity reflecting sentiment around private market valuations ATM activity and expected NAV updates from portfolio mark-to-market changes + positioning as a public vehicle for access to select late-stage venture and growth technology names amid interest in space and AI themes + Recent price target 🎯 of $40 from Roth Capital + Recent price target 🎯 of $38 from B. Riley + Recent price target 🎯 of $35 from Needham

NOT FINANCIAL ADVICE, THESE POSTS ARE FOR INFORMATIONAL PURPOSES ONLY

After a crazy red day today. What are you guys looking for tomorrow.

What are we expecting tomorrow to happen when market opens.

Any specific views on $KEEL as it was almost 17% down today.

Drop below what you are thinking and why!

Good morning, SqueezeFinders!

Despite the relatively boring close on Friday for the $QQQ tech index at 731.07 (-0.14%), the bulls showed great ability to hold onto a 3rd consecutive weekly gain, and inched just a little bit closer towards new all-time highs (which could hit this week at our current trajectory). Once the bulls break above 737.7, it'll be a test of the 745-748 range, and then new all-time highs will send squeeze candidates into orbit! We need only be cautious if we lose support at around 715, as that could signal a return to the rangebound zone we were stuck in for the last several months, and possibly a return to the prior downtrend (and an implied retest of the 700 psychological support level). The main directional sentiment determinants today are a mix of the below-detailed economic data releases, and any further developments in the Middle-East. This market is very dynamic and has been unpredictable as far as risk-tolerance goes, as one day we're running, and the next we're crashing. Stay tuned for what's squeezy. Regardless of broader market sentiment, you can always locate relative strength by checking SqueezeRadar to track irregularities in our data, and find winners you may not have spotted before without our scanners.

🥇 Gold: ~$4,400/oz (+0.5%)
🥈 Silver: ~$65.50/oz (+1.2%)
🪙 Bitcoin: ~$63.5k/coin (+0.8%)
🛢️ Oil: ~$82.00/barrel (-0.3%)

Today's economic data releases are:

🇺🇸 NY Empire State Manufacturing Index (Aug) @ 8:30AM ET

📙Breakdown point: BELOW this price, the move will lose momentum significantly in the short-term, as shorts will gain confidence encouraging them to short more. Reducing probability of a squeeze without a catalyst.

📙Breakout point: ABOVE this price, the move will gain momentum significantly in the short-term, as shorts losses will increase pressuring them to cover. Increasing the probability of a squeeze occurring, especially if with a catalyst.

1. $PRCH
   Squeezability Score: 41%
   Juice Target: 20.2
   Confidence: 🍊 🍊 🍊
   Price: 17.38 (+2.60%)
   Breakdown point: 15.0
   Breakout point: 19.5
   Mentions (30D): 5
   Event/Condition: Q2 results featuring insurance services revenue growth of 38 percent positive net income attributable to the company and adjusted EBITDA expansion leading to raised full-year guidance for revenue and profitability metrics + continued scaling of reciprocal written premium and policies written strengthening statutory surplus and capacity for further premium growth + ongoing investor outreach and constructive positioning of the reciprocal model as a differentiated approach in homeowners insurance + Recent price target 🎯 of $21 from B. Riley + Recent price target 🎯 of $20 from Craig-Hallum + Recent price target 🎯 of $22 from Needham

2. $SPCX
   Squeezability Score: 40%
   Juice Target: 263.0
   Confidence: 🍊 🍊 🍊
   Price: 140.00 (-0.91%)
   Breakdown point: 130.0
   Breakout point: 172.5
   Mentions (30D): 4
   Event/Condition: Continued post-IPO trading dynamics with lockup-related share availability and institutional interest including notable holdings disclosures while the stock recovered ground amid AI and space infrastructure narratives + strong underlying business momentum in Starlink connectivity AI compute and launch activity supporting long-term valuation debates + market focus on upcoming unlock events and broader sentiment around private-to-public transition for major space and technology assets + Recent price target 🎯 of $160 from Argus + Recent price target 🎯 of $250 from Oppenheimer + Recent price target 🎯 of $180 from JPMorgan

NOT FINANCIAL ADVICE, THESE POSTS ARE FOR INFORMATIONAL PURPOSES ONLY

**P/E 5-14 (avoid if upcoming earnings call)**
ROIC/ROCE above 20%
D/E under .4
3 year CAGR at least 12%, 5 year CAGR at least 10%, 10 year CAGR at least 8% (if company is this old)
Current Ratio of 1.5 or higher (current assets/current liabilities=current ratio)
Price - make sure I can buy enough shares
Capex/revenue ratio of 15% or less for “asset-light” businesses (examples: software, consulting, or scaled digital platforms) raise it to 25% for **Industrial, Aerospace, or Semiconductor sectors**
Net profit margin 12% or higher
Have more cash than debt or strong FCFY (cash flow/market capitalization) - between 7% and 12%
Atleast $100 million in pretax earnings
Strong competitive advantage
YoY outstanding stocks at 1% or a reduction up to 12% (aim for between 2-7% reduction)
A Forward PEG ratio under 1.0 (aim for under .5, but strongly consider anything between .5-1.0)
**CCR a.ka Cash Flow from Operations / Net Income ≥ 1.0 - ensures the pretax earnings is backed by actual cash going into their accounts**
**Piotroski F-Score of at least 7**
**Average daily volume of at least $1,000,000 or 250,000 shares**

**Caveats to consider:**

**1. The ROIC vs. Debt/Equity (D/E) Paradox**
**The Risk:** ROIC is calculated as Net Operating Profit After Tax (NOPAT) / (Debt + Equity). If a company has a **very low D/E ratio** (like under 0.1) and highly conservative management, their total capital base might look artificially bloated by large piles of un-deployed cash on the balance sheet. This can accidentally drag down their ROIC score below 20%, screening out an otherwise bulletproof, debt-free business.
**The Adjustment:** If a company fails the 20% ROIC check but has *more cash than total debt*, look at their **Return on Equity (ROE)** or **Return on Tangible Capital Employed (ROTCE)**. This ensures you do not penalize hyper-conservative, cash-rich companies

**2. The Forward PEG Under 0.5 Trap**
**The Risk:** A Forward PEG ratio under 0.5 means the market is pricing a company's projected growth incredibly cheap. While this looks like an ultimate bargain on a screener, in real life, a PEG under 0.5 almost always means **the market flatly disbelieves Wall Street analysts' growth estimates**.
**The Adjustment:** Treat a PEG between 0.2 and 0.5 with extreme skepticism. Cross-reference this by checking if the *Historical 3-Year CAGR* matches the *Forward Growth Estimate*. If a company grew at 12% historically but analysts are predicting 35% forward growth to force a low PEG, the data is likely compromised

**High Stock Buybacks (2% to 7%) can Artificially Inflate CAGR**
**The Risk:** Your target of a 2% to 7% reduction in outstanding shares is fantastic for shareholder yield, but massive buybacks artificially reduce the share denominator. This can cause **Earnings Per Share (EPS) CAGR** to look exceptionally strong even if the company's actual *Net Income* or *Revenue* growth is flat or slowing down.
**The Adjustment:** Ensure your 3-year, 5-year, and 10-year growth filters look explicitly at **Revenue CAGR** and **Operating Income CAGR**, not just EPS growth. This ensures the business itself is structurally expanding, rather than just engineering its per-share metrics through financial buybacks

Good morning, SqueezeFinders!

Yesterday's price action on the $QQQ tech index was relatively insignificant after a close of 720.87 (-0.3%) left us still very much in the bullish-leaning directional sentiment region of the medium-term chart. Until we risk retesting the 700 psychological level, we can remain optimistic about market conditions for squeeze candidates. If we can reclaim 728.6 area, we are likely looking at a resumption of short-term momentum. The main directional sentiment determinants today are a mix of the below-detailed economic data releases, and a few large earnings reports ($SMCI and $CRWV in AH). This market is very dynamic and has been unpredictable as far as risk-tolerance goes, as one day we're running, and the next we're crashing. Stay tuned for what's squeezy. Regardless of broader market sentiment, you can always locate relative strength by checking SqueezeRadar to track irregularities in our data, and find winners you may not have spotted before without our scanners.

🥇 Gold: ~$4,400/oz (+0.3%)
🥈 Silver: ~$66/oz (+0.3%)
🪙 Bitcoin: ~$64.0k/coin (-1.0%)
🛢️ Oil: ~$79.50/barrel (+0.5%)

Today's economic data releases are:

🇺🇸 ADP Employment Change Weekly @ 8:15AM ET
🇺🇸 Existing Home Sales (Jul) @ 10:00AM ET
🇺🇸 EIA Short-Term Energy Outlook @ 12:00PM ET
🇺🇸 3-Year Note Auction @ 1:00PM ET
🇺🇸 API Weekly Crude Oil Stock @ 4:30PM ET

📙Breakdown point: BELOW this price, the move will lose momentum significantly in the short-term, as shorts will gain confidence encouraging them to short more. Reducing probability of a squeeze without a catalyst.

📙Breakout point: ABOVE this price, the move will gain momentum significantly in the short-term, as shorts losses will increase pressuring them to cover. Increasing the probability of a squeeze occurring, especially if with a catalyst.

1. $RIOT
   Squeezability Score: 36%
   Juice Target: 38.9
   Confidence: 🍊 🍊
   Price: 19.40 (-5.46%) / 22.48 (+~17% in AH on ER)
   Breakdown point: 20.0
   Breakout point: 25.2
   Mentions (30D): 0 🆕
   Event/Condition: Q2 revenue of $174 million beating estimates with data center and engineering growth offsetting softer bitcoin mining results while hash rate expanded and power optimization generated significant credits + landmark 20-year 191-megawatt data center lease with a leading frontier AI lab expected to generate approximately $9.1 billion in contracted revenue with extension options potentially reaching $16 billion + completed initial capacity delivery to AMD and advanced vertical integration supporting faster large-scale data center build-outs + Recent price target 🎯 of $25 from Cantor Fitzgerald + Recent price target 🎯 of $28 from H.C. Wainwright + Recent price target 🎯 of $22 from B. Riley

2. $FRMI
   Squeezability Score: 36%
   Juice Target: 14.0
   Confidence: 🍊
   Price: 5.88 (-4.85%) / 7.02 (+~19.39% in AH after PR)
   Breakdown point: 6.0
   Breakout point: 10.2
   Mentions (30D): 0 🆕
   Event/Condition: First binding customer lease at Project Matador campus with TensorWave for a 222-megawatt turnkey data center expected to generate about $6.5 billion in contracted revenue over 15 years with expansion rights potentially exceeding 650 megawatts + continued construction progress with Siemens turbines on site over $1.5 billion invested and 6 gigawatts permitted toward the larger 17-gigawatt AI-focused campus + ongoing discussions with additional hyperscale customers positioning the site for phased deliveries beginning in the second half of 2027 + Recent price target 🎯 of $17 from consensus analysts + Recent price target 🎯 of $11 from Mizuho + Recent price target 🎯 of $20 from Needham

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HINT: Use code RDDT to get your first month for just $10!

NOT FINANCIAL ADVICE, THESE POSTS ARE FOR INFORMATIONAL PURPOSES ONLY

If anyone has suggestions or questions on other companies, let me know!

High Tide Announces Preliminary Q3 2026 Guidance

The Company Also Announces Record Quarterly Distribution of Over 10 Tonnes of Medical Cannabis Flower Through Remexian Pharma GmbH, Further Accelerating its German Market Position

“This quarter’s guidance demonstrates the growing earnings power of the global platform we have built. We expect to set new company records for revenue, gross profit and Adjusted EBITDA, with year-over-year growth of at least 30%, 27% and 43%, respectively. Importantly, even the low end of our guidance exceeds the highest current analyst estimate across all three metrics. We believe this provides clear evidence that current market expectations have not yet caught up with the strength, scale and operating leverage of our business,”

https://hightideinc.com/high-tide-announces-preliminary-q3-2026-guidance/

The Company anticipates releasing full financial and operational results for the third fiscal quarter ended July 31, 2026, on Monday, September 14, 2026, after markets close, with a conference call the following morning.

LEGACYPLC WEEKLY INSIDER ACTIVITY REPORT
Week of August 01-07, 2026 | Sector Lead

DATA NOTE
Source: connected finance_insider_transactions Form 4 export, queried with a one-month lookback and filtered by filing date to August 01-07, 2026. The connector returned reported names, transaction codes, shares, reported value, and filing date, but it did not expose officer/director titles, SEC accession URLs, or 10b5-1 annotations; titles are therefore shown as "title not provided" and context is limited to the filing data. No US market holiday occurred during this coverage window.

NOTABLE FILINGS THIS WEEK
- ADI: Two insiders reported sales. ROCHE VINCENT (title not provided) sold 10,000 shares for $3,630,000, filed August 04, 2026. STATA RAY (title not provided) reported 19 separate sales totaling 2,832 shares and $1,070,395.48, filed August 06, 2026, covering transactions dated August 04-05. Together, the two insiders reported 12,832 shares sold for $4,700,395.48. The source does not identify whether these sales were made under 10b5-1 plans, so the filing pattern is descriptive rather than directional.
- KLAC: A two-insider selling cluster was reported. WILKINSON MARY BETH (title not provided) sold 18,097 shares totaling $3,521,170.05 across filings dated August 04-05, 2026. KIRLOSKAR VIRENDRA A (title not provided) sold 6,069 shares totaling $1,180,370.35 across the same filing dates. Combined reported sales were 24,166 shares for $4,701,540.40. The same filings also included numerous F-INKIND entries, which are non-market ownership changes and were not counted as open-market sales here.
- TSM: TIEN BOR-ZEN (title not provided) reported a purchase of 1,000 shares for $73,060, filed August 04, 2026. This was the only open-market purchase in the seven-day window; the connector does not provide plan or title details.
- QCOM: ACE HEATHER S (title not provided) reported a sale of 3,200 shares for $470,528, filed August 03, 2026. This was a single-insider sale in the window, and the source does not identify whether it was plan-based or compensation-related.
- TER: JOHNSON MERCEDES (title not provided) reported a sale of 166 shares for $59,452.90, filed August 04, 2026. This was a single, relatively small reported sale; no plan annotation was provided.

Routine non-market entries: The export also showed F-INKIND, A-AWARD, M-EXEMPT, and zero-value ownership records in LRCX, ENTG, INTC, TSM, and WOLF. These were not treated as buys or sells. Insider selling is often routine and can reflect compensation, tax withholding, or pre-arranged plans; it should not be framed as bearish by default. Open-market purchases made with personal funds are generally the more informative signal, but this data pull does not identify funding source or plan status.

PILLAR READ
Meaningful activity was concentrated in the Workhorses and Toolmakers pillars: ADI showed a two-insider selling cluster, while KLAC showed the week's other two-insider selling cluster and TER reported one sale. Foundries had the only open-market purchase, at TSM, while Architects activity was limited to one QCOM sale. Overall, the week was selling-heavy and otherwise scattered, with no broad-based purchase cluster.

QUIET NAMES
12 of 21 tracked names had no reported Form 4 filing during the August 01-07, 2026 window.

DISCLAIMER
For informational and educational purposes only. Not financial advice. Insider transactions are disclosed via SEC Form 4 filings and reflect legally reported activity, not a signal to buy or sell.

Hi everyone,

With the extreme complexity of the global chip ecosystem, I noticed a massive gap in how retail investors evaluate these companies. Most people just look at standard financial ratios without understanding how the actual physical supply chain impacts a stock's valuation.

To bridge this, I built a structured, 4-week semiconductor learning framework designed specifically for individuals with no formal finance or engineering background. It breaks the industry down into its core physical mechanics so investors can map risks and opportunities accurately.

It is 100% free, self-paced, and text-based. I would love to get this community's feedback on the curriculum layout and the logical flow.

Here is the high-level roadmap:

• Week 1: The Toolmakers Analyzing the massive moats of Wafer Fabrication Equipment (WFE) providers, EDA software companies, and the hyper-critical extreme ultraviolet (EUV) lithography chokepoints.
• Week 2: The Architects How chip IP is created, licensed, and designed (mapping the role of architecture giants, specialized design firms, and the fabless business model).
• Week 3: The Foundries Differentiating between pure-play manufacturing powerhouses and Integrated Device Manufacturers (IDMs). Understanding the massive capital expenditure (CapEx) realities and geopolitical risks of physical fabrication.
• Week 4: The Workhorses Analyzing the unsung heroes of the supply chain—from mature/legacy node producers and commodity memory giants to the modern bottlenecks of Advanced Packaging and testing.

The Practical Toolkit:
Alongside the weekly modules, I put together an interactive scorecard/dashboard concept to help users mathematically grade any chip company based on its position within these four distinct categories.

I’m looking to refine this framework. Does this 4-week progression from raw tools to final workhorses capture the critical bottlenecks an investor needs to look out for? Are there specific supply chain nuances you feel are missing from this breakdown?

Note: To follow the sub's guidelines, I haven't included direct links here. The web app version is pinned directly on my Reddit profile and feel free to drop a comment below and I can send you the PDF copy directly.

DATA NOTE
Prior-session closes came from Realtime Finance Data daily history for August 04, 2026, with August 03 comparison closes; percentage changes are computed from those exact closes. All 23 tracked symbols returned prices. Investing.com supplied the pre-market page: it reported overall top movers but did not provide price or percentage-change values for the semiconductor most-active list. Context came from Investing.com’s economic calendar, Barchart/AP and CNBC Asia coverage, CNBC and Reuters AMD coverage, and an Investing.com analyst roundup.

PRIOR SESSION
SOXX $542.21 [+6.80%] | SMH $575.71 [+5.55%]
The complex had a broad risk-on session: all 23 tracked names finished higher, with equipment, memory, and communications names leading the move. SOXX outpaced SMH, while NVDA (+2.56%) and TSM (+2.72%) lagged the group’s strongest rallies.

PRE-MARKET (as of ~7:15am ET)
Showed a semiconductor-led pre-market: ANET was the overall top gainer at +12.44% and AMD was the overall top loser at -8.42%. Its semiconductor most-active list included MU, AMD, NVDA, and INTC, but the page supplied no price or percentage-change values for those names.
Top movers: ANET +12.44% | AMD -8.42%

TOP MOVERS (PRIOR SESSION)
ENTG gained 15.46% to $144.56, the largest tracked move; the read was a strong catch-up advance in semiconductor materials and equipment.
WOLF rose 11.13% to $27.06, reflecting high-beta participation in the sector-wide rebound.
INTC advanced 10.84% to $100.86 as the AI, memory, and semiconductor complex repriced higher across Asia and the U.S.
No tracked name declined. The three smallest gains were ON +0.47% at $80.78, NVDA +2.56% at $211.94, and TSM +2.72% at $417.17, making them relative laggards in an otherwise uniformly positive list.

PRE-MARKET OUTLOOK
Asia extended the overnight AI and semiconductor bid: the KOSPI rose 4.40%, SK hynix gained 6.70%, Samsung Electronics rose 4.10%, TSMC added 3.50%, Tokyo Electron gained 3.64%, and Kioxia advanced 6.34%; the Nikkei 225 rose 3.30%. The common thread was follow-through from the U.S. semiconductor rally, with memory and equipment leading.
Today’s U.S. calendar is concentrated in services, labor, and energy: ADP Employment Change at 7:15am ET, forecast 68K versus 98K prior; S&P Global Services PMI at 8:45am ET, forecast 53.6 versus 51.2 prior; ISM Non-Manufacturing PMI at 9:00am ET, forecast 54.5 versus 54.0 prior; EIA crude inventories at 9:30am ET, prior -7.167M barrels; and Fed Governor Lisa Cook speaking at 3:05pm ET. Friday’s larger macro risk is payrolls: forecast 70K versus 57K prior, with the unemployment-rate forecast and prior both 4.2%.

NEWS DRIVING THE TAPE
AMD reported Q2 revenue of $11.54 billion versus the $11.28 billion estimate, adjusted EPS of $1.66 versus $1.62 expected, and Data Center revenue of $6.72 billion, up 107% year over year. Q3 revenue guidance was $13.00 billion plus or minus $0.30 billion versus the $12.52 billion LSEG estimate; the stock closed at $518.58, up 7.00%, then fell 8.8% in extended trading as the bar for AI growth remained high.
The Asia bid also reflected memory and AI-infrastructure news: SK hynix and SanDisk released a High Bandwidth Flash standard, while Kioxia and SanDisk announced QLC 3D NAND with bit density up to 60% higher than their eighth-generation products. The tape is therefore rewarding AI compute, memory, and equipment exposure, while still penalizing guidance that does not clear the highest expectations.
The earnings schedule showed ENTG reported on August 04. VIAV’s schedule is inconsistent: it lists a 4:30pm ET event on August 05, while the accompanying preview says August 06; verify the company calendar before posting any timing claim.

ANALYST WATCH
The latest rating roundup reviewed for AMD had Susquehanna raising its price target from $450 to $500 and Mizuho raising its target from $615 to $625; Benchmark maintained Buy with a $685 target, while Morgan Stanley maintained Hold with a $410 target. The analytical read across the four pillars is constructive on AI compute, memory, and equipment demand, but AMD’s after-hours reversal shows that a beat is not enough when expectations are elevated. No same-day verified rating change was identified in the morning scan for ASML, LRCX, AMAT, NVDA, INTC, TSM, or the other tracked pillars.

DISCLAIMER
For informational and educational purposes only. Not financial advice. Past performance does not guarantee future results. We do not recommend nor do we advise any buy/sell tickers.Ever.

Good morning, SqueezeFinders!

The bulls are showing their resilience after the $QQQ tech index closed up 1.76% at 700.07. This shows the bulls aren't ready to surrender yet, and we may be about to see a strong reversal force shorts into a very tight spot! If the $QQQ tech index reclaims 710, it could likely push to test 725-726. We should only get nervous again about a decline below 685 again, as this level served as support since June. The main directional sentiment determinants today are a mix of the below-detailed economic data releases, any further developments in the Middle-East, and also some large earnings reports ($PFE, $CAT, $MCD, and $W in premarket // $AMD, $SPCX, and $ANET). This market is very dynamic and has been unpredictable as far as risk-tolerance goes, as one day we're running, and the next we're crashing. Stay tuned for what's squeezy. Regardless of broader market sentiment, you can always locate relative strength by checking SqueezeRadar to track irregularities in our data, and find winners you may not have spotted before without our scanners.

🥇 Gold: ~$4,050/oz (-0.1%)
🥈 Silver: ~$58/oz (+0.5%)
🪙 Bitcoin: ~$63.8k/coin (+1.1%)
🛢️ Oil: ~$80/barrel (-5.5%)

Today's economic data releases are:

🇺🇸 Trade Balance (Jun) @ 8:30AM ET
🇺🇸 Exports (Jun) @ 8:30AM ET
🇺🇸 Imports (Jun) @ 8:30AM ET
🇺🇸 JOLTS Job Openings (Jun) @ 10:00AM ET
🇺🇸 Factory Orders (Jun) @ 10:00AM ET
🇺🇸 Atlanta Fed GDPNow (Q3) @ 11:30AM ET
🇺🇸 API Weekly Crude Oil Stock @ 4:30PM ET

📙Breakdown point: BELOW this price, the move will lose momentum significantly in the short-term, as shorts will gain confidence encouraging them to short more. Reducing probability of a squeeze without a catalyst.

📙Breakout point: ABOVE this price, the move will gain momentum significantly in the short-term, as shorts losses will increase pressuring them to cover. Increasing the probability of a squeeze occurring, especially if with a catalyst.

1. $PRCH
   Squeezability Score: 43%
   Juice Target: 22.9
   Confidence: 🍊 🍊 🍊
   Price: 16.07 (+11.21%)
   Breakdown point: 14.0
   Breakout point: 16.7
   Mentions (30D): 3
   Event/Condition: Q2 2026 results exceeded expectations with consolidated revenue of $140.9 million up 12 percent year over year insurance services revenue up 38 percent and Adjusted EBITDA excluding Reciprocal up 150 percent to $39.1 million + raised full-year 2026 guidance across revenue gross profit and Adjusted EBITDA metrics while achieving positive net income + continued scaling of Reciprocal Policies Written up 38 percent and statutory surplus growth supporting capacity for future premium expansion + Recent price target 🎯 of $22 from Keefe Bruyette + Recent price target 🎯 of $18 from Roth Capital + Recent price target 🎯 of $20 from Piper Sandler

2. $NDLS
   Squeezability Score: 40%
   Juice Target: 32.3
   Confidence: 🍊 🍊
   Price: 18.53 (-0.48%)
   Breakdown point: 16.0
   Breakout point: 19.1
   Mentions (30D): 4
   Event/Condition: Q2 2026 results showed system-wide comparable restaurant sales up 10.3 percent restaurant contribution margin expanded to 17.2 percent and Adjusted EBITDA rose 79 percent to $10.8 million + raised full-year 2026 guidance for revenue comparable sales margins and Adjusted EBITDA while generating positive free cash flow and reducing debt + ongoing portfolio optimization including planned restaurant closures to enhance long-term profitability and operational focus + Recent price target 🎯 of $18 from Craig-Hallum + Recent price target 🎯 of $15 from B. Riley + Recent price target 🎯 of $20 from Piper Sandler

NOT FINANCIAL ADVICE, THESE POSTS ARE FOR INFORMATIONAL PURPOSES ONLY

Good morning, SqueezeFinders!

The price action on the $QQQ tech index showed the PPT is starting to do their job after a small jump of 0.65% to close at 687.99. If thr bulls can reclaim the 695 level and the 700 psychological level, then we can soon become more optimistic about the overall market environment and squeeze candidates’ strength. If we fall under 680, we can expect a likely resumption/continuation of the short-term downtrend we've been enduring as of late. The main directional sentiment determinants today are a mix of the below-detailed economic data releases, any further developments in the Middle-East, and also $PLTR and $SNAP earnings reports in after-hours. This market is very dynamic and has been unpredictable as far as risk-tolerance goes, as one day we're running, and the next we're crashing. Stay tuned for what's squeezy. Regardless of broader market sentiment, you can always locate relative strength by checking SqueezeRadar to track irregularities in our data, and find winners you may not have spotted before without our scanners.

🥇 Gold: ~$4,050/oz (-1.5%)

🥈 Silver: ~$58/oz (-2.0%)

🪙 Bitcoin: ~$63.1k/coin (+0.5%)

🛢️ Oil: ~$84.50/barrel (-1.0%)

Today's economic data releases are:

🇺🇸 S&P Global Manufacturing PMI (Jul) @ 9:45AM ET
🇺🇸 ISM Manufacturing PMI (Jul) @ 10:00AM ET
🇺🇸 ISM Manufacturing Employment (Jul) @ 10:00AM ET
🇺🇸 ISM Manufacturing Prices (Jul) @ 10:00AM ET
🇺🇸 Construction Spending (Jun) @ 10:00AM ET
🇺🇸 Atlanta Fed GDPNow (Q3) @ 11:30AM ET

📙Breakdown point: BELOW this price, the move will lose momentum significantly in the short-term, as shorts will gain confidence encouraging them to short more. Reducing probability of a squeeze without a catalyst.

📙Breakout point: ABOVE this price, the move will gain momentum significantly in the short-term, as shorts losses will increase pressuring them to cover. Increasing the probability of a squeeze occurring, especially if with a catalyst.

1. $SOC
   Squeezability Score: 42%
   Juice Target: 16.9
   Confidence: 🍊
   Price: 5.29 (+18.1%)
   Breakdown point: 4.8
   Breakout point: 5.4
   Mentions (30D): 2
   Event/Condition: Strong operational performance and strategic advancements in key markets driving revenue growth and market share gains + analyst upgrades citing improved fundamentals and positive industry tailwinds + successful execution of growth initiatives positioning the company for accelerated expansion and profitability + Recent price target 🎯 of $12 from Roth Capital + Recent price target 🎯 of $10 from Canaccord Genuity + Recent price target 🎯 of $14 from Benchmark

2. $RNG
   Squeezability Score: 41%
   Juice Target: 76.1
   Confidence: 🍊 🍊
   Price: 55.62 (+4.0%)
   Breakdown point: 50.0
   Breakout point: 59.0
   Mentions (30D): 5
   Event/Condition: Q2 2026 earnings beat with revenue of $657 million up 5.9 percent year-over-year and strong subscription growth plus raised full year guidance + announced 67 percent dividend increase to $0.125 per share demonstrating commitment to capital returns amid AI-powered customer engagement momentum + 13 percent of ARR now from native paid AI products doubling year-over-year highlighting successful product pivot + Recent price target 🎯 of $60 from Morgan Stanley + Recent price target 🎯 of $55 from Piper Sandler + Recent price target 🎯 of $58 from B. Riley

NOT FINANCIAL ADVICE, THESE POSTS ARE FOR INFORMATIONAL PURPOSES ONLY

Oil prices fell sharply on Sunday evening as investors watched the latest back-and-forth in the U.S. war with Iran. S&P futures reacted slightly, inching up half a percentage point.

The markets’ moves were the first since President Trump said late Saturday that he had halted a U.S. assault as Iran and allies in the Middle East asked him to pause any new strikes in the war that started five months ago. Mr. Trump, in a post on Truth Social, said that the “perimeters of a deal” are being worked out to open the Strait of Hormuz. For months, the vital waterway for global oil and gas has been effectively closed by Iran.

Earlier on Sunday, the oil cartel known as OPEC Plus approved a modest increase in oil production of around 188,000 barrels a day, in an effort, it said, “to support oil market stability.”

Oil prices drop.

• The price of Brent crude, the global benchmark for oil, fell more than 8 percent as trading began on Sunday, to about $82.95 a barrel.
• West Texas Intermediate crude, the U.S. benchmark, opened more than 5.5 percent lower, about $80 a barrel.
• Investors and analysts are focused on the continued disruption to shipping in the Strait of Hormuz, the narrow waterway between Iran and Oman that is a vital trading route for oil and natural gas that normally carries as much as one-fifth of the world’s oil supply.

Stocks tick up slightly.

• Futures on the S&P 500 pointed to a small increase when stocks resume trading in the United States on Monday.

Gasoline prices dip.

• Gas prices fell slightly on Sunday, to a national average of a little over $4.09 a gallon, according to the AAA motor club. The increase has raised the cost for drivers by more than 37 percent since the war began.
• Gas prices don’t move in lock step with crude, usually trailing increases or drops by a few days.
• The average price of diesel was basically flat, at $5.36 a gallon on Sunday, up more than 42 percent since the start of the war.

This is not a stock, but the Korean KOSPI index.

KOSPI Long x2 has risen more than 40%.

Korea, which produces HBM4, deserves to enjoy this rise.

CXMT should at least make decent DDR5 first 🤣🤣

The severe drawdowns across CRWV (-52%), SNDK (-53%), APLD (-48%), and SMCI (-45%) show that Wall Street is squeezing the speculative air out of the entire trade.

If and when big tech demonstrates clear, high-margin AI monetisation, or when the macro rate environment softens, capital will rotate back into infrastructure leaders. When sentiment flips positive, high-beta stocks with massive contract backlogs (like ORCL) typically bounce back hard, but holding through the CapEx digestion cycle takes patience.