Do pay attention to Kevin Warsh hawkish tone and Sept rate hike odds rising to 46% . The macro cues are there if you pay attention, but relying solely on old, generalized macro frameworks will make you miss the greatest structural micro shift of our time.

Decoding the Jan 2027 $100 NVDA Put by Veterans .. and recent viral video “ AI IS A MASSIVE SCAM” getting 5M+ views in just 48 hours.

Take the specific trade of Burry buying a Jan 2027 $100 put on Nvidia. With the stock currently trading in the $210s, This trade and shorting Nvidia isn't just a hedge—it’s a bet on total capitulation. 

A sound hedging strategy is essential, but there is a massive difference between managing risk and falling victim to your own absolute conviction.

Hedging protects your downside, but nothing protects you from absolute certainty. If you are 100% convinced a specific scenario will play out, your biggest threat isn't the market—it's yourself.

What does that trade say?

It says the buyer is seeing ghosts. They are assuming this is Cisco in 1999—a hardware buildout driven by speculative fluff that will inevitably crash to Earth. They are betting on a massive demand air-pocket and a complete unraveling of the AI thesis over the next two years.

Living in the Present

If you are actually living in the present, you see a completely different landscape. You don't see a bubble; you see an industrial revolution constrained only by physics and fabrication limits.

Insatiable Demand & Supply Chain Bottlenecks: This isn't driven by speculative eyeball metrics. It’s hard, structural demand from hyperscalers desperate for compute, throttled by real-world supply chain limits in advanced packaging and high-bandwidth memory.

Absolute Pricing Power: When you have a line of enterprise customers out the door whose entire future depends on securing your hardware, your pricing power is absolute.

The Technological Edge: The current leaders aren't just riding a wave; they built the ocean. They possess an architectural moat and a deeply entrenched software ecosystem that competitors are years behind.

Visionary Leadership: They are chosen to lead because they are continuously executing. They aren't resting on their laurels; they are fiercely driving the roadmap to deliver exactly what their customers need to build the future.

Trading the past protects you from phantom crashes, but it costs you the future. The reality is on the ground right now.

Trade with simple balanced algorithms. Agentic for Non emotional trading .

While this week has an absolute few hand-picked winners, message me if you want to know my trades for this week. Lets have the small talk and you get access to the Setups ( tickers, strikes, and expirations)

In our last article, we covered Generate:Biomedicines and how their AI-driven protein generation platform is turning heads in the clinical-stage biotech space. This time, it is CRISPR Therapeutics (CRSP).

While CRISPR has already made history with Casgevy—the first FDA-approved CRISPR therapy for sickle cell disease—their next target is significantly larger. They are aiming squarely at one of the biggest drug markets in the world: cardiovascular disease.

Here is why CRISPR Therapeutics is positioning itself for a massive, Moderna-style breakout.

The Shift from Rare to Common Diseases

Moderna’s stock exploded when its mRNA platform proved it could be rapidly deployed for a global pandemic, moving far beyond niche applications. CRISPR Therapeutics is attempting a similar leap.

Read more

But a massive regulatory shift is underway in Washington, and it is quietly making the case for why Software-as-a-Service (SaaS) is about to take back the spotlight. The core of this shift revolves around how the US government is choking off China’s access to raw AI infrastructure, while leaving standard software access relatively untouched.

Here is why SaaS is back, and what you need to know about the new regulations reshaping the cloud landscape.

The Catalyst: What is RASA?

For years, US export controls were strictly physical: you couldn't ship a top-tier NVIDIA GPU to mainland China. But the laws were written for a pre-cloud era. Chinese AI labs realized they didn't need to buy the chips; they could just log onto the internet and rent them from data centers located outside of China.

To shut down this "cloud loophole," the U.S. House of Representatives overwhelmingly passed the Remote Access Security Act (RASA) on January 12, 2026.

RASA modernizes the Export Control Reform Act by granting the Bureau of Industry and Security (BIS) explicit statutory authority to regulate and restrict "remote access" to controlled technologies via cloud computing. In short: renting out an advanced AI chip via the cloud is now legally treated the same as physically packing it in a box and shipping it to Beijing.

The IaaS Crackdown: Bare Metal is the Target

The immediate impact of RASA and the Commerce Department's new "Know Your Customer" (KYC) rules falls squarely on Infrastructure-as-a-Service (IaaS).

To put this in real-world terms: Imagine a Chinese AI company trying to build a rival to ChatGPT. To do this, they need to spin up a massive cluster of NVIDIA H100s. Under the new rules, U.S. cloud providers like Amazon Web Services (AWS EC2), Microsoft Azure, and Google Cloud are legally barred from renting them this raw infrastructure.

These IaaS providers cannot give Chinese developers API keys that allow them to directly access advanced GPUs to run their own custom training scripts. Cloud providers are now required to actively verify user identities and block foreign entities from accessing this raw compute power, resulting in a sudden loss of a lucrative foreign revenue stream for the hyperscalers.

The SaaS "Green Zone": The Power of Abstraction

This brings us to the core of why SaaS is looking increasingly attractive. While the regulatory crosshairs are focused on the infrastructure layer, Software-as-a-Service (SaaS) and managed platforms have largely been spared.

Why? Because of abstraction.

Let's look at real-world examples like Snowflake, Databricks, or Oracle's SaaS applications. These platforms are rapidly integrating advanced AI features that require massive GPU computing power on the backend.

If a Chinese enterprise uses Snowflake’s Cortex AI or Databricks' machine learning tools to analyze their supply chain, those queries are absolutely being processed by advanced NVIDIA GPUs sitting in a U.S. data center. However, the Chinese user never touches the raw compute. They cannot use Snowflake to train a massive, unauthorized foundation model from scratch; they simply send their data in, and the software spits the insights back out.

Because the Chinese user is buying a software function rather than raw compute capacity, companies like Snowflake and Databricks can legally sell these advanced services to Chinese clients. The US government is restricting the "picks and shovels" (the GPUs), but it is not restricting the gold (the software output).

The Investment Takeaway

The physical chip war evolved into a cloud computing war, and the U.S. government has made it clear that raw computing power is a matter of national security. As IaaS providers absorb the impact of RASA and strict KYC regulations, SaaS companies are sitting in a geopolitical safe zone.

We are seeing a massive divergence: IaaS providers must cut off their Chinese AI-training customers, while enterprise SaaS providers can maintain their global user bases and continue generating recurring revenue without the same geopolitical headwinds.

If you have been entirely weighted toward the infrastructure layer, now is the time to look back up the stack. SaaS is back, shielded from the worst of the export controls, and ready to capitalize on a globally accessible software market.

Keep an eye out for our upcoming options setups as we look to trade the hyperscalers' earnings reports with these new regulations in mind.

Massive AI Deals Validating the Tech

Bloom Energy already boasts massive partnerships that support this growing AI infrastructure boom:

Oracle Agreement: This deal supports up to 2.8 gigawatts of power for data centers.

Brookfield Partnership: Brookfield recently expanded its AI infrastructure partnership with Bloom from a $5 billion commitment to a staggering $25 billion.

Upcoming Catalysts to Monitor

For investors and traders tracking BE's price action, there are several key events and projects on the horizon that could cause the stock to pop or drop:

Oracle Warrants (Oct 9th): This is the deadline for Oracle to exercise its warrants; if they decide to repurchase shares, the stock could see a favorable post-event performance.

Project Jupiter: A hearing in August/September will provide updates on the approval progress for a 0.5m pipeline, which currently seems to pose minimal risk given the company's outlook for the year.

Wyoming (Project Jade): Investors are awaiting updates before AEP's Q3 earnings call. Management has outlined three potential scenarios: hyperscaler approvals with a new delivery timeline, redeploying to other projects to qualify for tax credits expiring in 2028, or project delays that result in financial penalties paid by the hyperscaler.

Texas Market Expansion: According to the AEP CEO, there is a massive 45GW pipeline building up in Texas over the next 5 years. This represents a significant Total Addressable Market (TAM), and capturing even a small percentage of this could be highly lucrative for Bloom.

NBIS Earnings (Mid-August): This call will offer insights into their pipeline and how Bloom fits into their broader execution strategy as they scale.

S&P Inclusion: This remains a potential future catalyst to keep on the radar.

The Total Addressable Market for AI power infrastructure is enormous. If Bloom can continue building its backlog over the coming months and deliver exciting 2027 guidance next February, momentum could drive the stock significantly higher. Subscribe if you want to know my BE trades.

Always remember that stock price of 350 = 100b valuation which needs 4b revenue this yr equals 25x on revenue mulitple.

Humanoids, AI, And Everything In Between Are Just Electricity Learning To Make MoneyThis is the only way to understand what is happening right now.Forget the labels. “Humanoid robot.” “AI agent.” “LLM.” “Self-driving.”They are all the same thing: Use cases for how electricity can be deployed to generate value.

Humanoids will come and go. Models will come and go.But every single one of them needs to convert 100 megawatts into money.Own the electricity. Own the factory that turns electricity into value.That is the portfolio for the next decade.

And yet here we are. Gold at all-time highs while we are building the most advanced intelligence in human history.Why?Because AI, humanoids, and electricity are all use cases for how to create value.Gold is the use case for how to protect value when you over-create everything else.Canals overbuilt. Railroads overbuilt. Fiber overbuilt. AI will overbuild too.

Electricity will make you rich.

Gold will make sure you stay rich.

I have already aligned my long-term portfolio and hedged it. Now that core is protected, there is an exciting window for short-term trades.Because when there is a race this intense - you cannot sit without exposure to both winners and losers. The volatility IS the opportunity. Lets create velocity.

Macro & Policy: What’s Dictating Market Direction

1. Key Economic Data & Fed Speeches

All eyes are on central bank policy this week, with the market actively debating whether the Federal Reserve will hike rates again in September (currently priced at a 40% probability) or hold steady.

• Jackson Hole Symposium: The keynote address by Kevin Warsh takes center stage late in the week, carrying outsized weight given the hike-versus-hold dilemma.

• Benchmark Payroll Revisions: The preliminary benchmark revision is the single most critical data release. Prior downward revisions have already reduced average monthly job gains to roughly 20,000 between May and July.

• July Core PCE Price Index: Slated for release later this week following a previous reading of 3.3% year-over-year.

Earnings Spotlight: Semis Take the Stage

Corporate earnings for the second quarter have broadly come in among the strongest in recent years, but forward valuations are being tested by tight monetary conditions.

• Nvidia & Marvell Reporting: Both companies are set to report financial results back-to-back this week (holding positions in both).

• The Dynamic: Marvell delivers its report just one day after Nvidia, meaning investors will likely still be processing Nvidia’s figures when Marvell goes live.

Consumer Pulse & Corporate Fundamentals

• Divergence in Spending: While annualized consumer spending expanded by 3.2% last quarter, retail bellwethers are signaling strain.

• Retail Warning: Walmart logged its slowest sales increase since the onset of the pandemic, attributing consumer caution directly to elevated gasoline prices staying above $4 per gallon.

• Valuation Squeeze: Current stock price volatility is not stemming from weak corporate profits, but rather from compression in the multiples investors are willing to pay for those earnings in a higher-rate regime.

Now that core is protected, there is an exciting window for short-term trades.Because when there is a race this intense - you cannot sit without exposure to both winners and losers. The volatility IS the opportunity. Lets create velocity.

Trades taken last week, holding this week: China and Bio Medical /mRNA

New for this week -

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Everyone will be watching Broadcom's top-line revenue and AI networking numbers this earnings season, but the mainstream market is looking at the wrong metric. The single most important indicator for AVGO right now is …..

Here is the situation: Broadcom has long been the dominant partner for custom silicon (ASICs), specifically designing Google's TPUs. But Marvell (MRVL) is aggressively coming for that exact market share. As hyperscalers scale up their AI infrastructure, Google is actively pitting the two chipmakers against each other for following .

Read more

The dam has finally broken on the retail side. The prolonged stalemate we tracked all last week has forced distributors to blink first.

32GB DDR5 Kits: The absolute floor for entry-level 32GB (2x16GB) kits—which had been cemented at $368–$370 for over a week—has dropped significantly. We are now seeing multiple listings hit the $355 to $360 range as distributors try to clear out stagnant stock.

16GB DDR5 Kits: We are also seeing the first real movement here, with prices breaking below the $209 floor to land in the $199 to $225 bracket.

DDR4 Kits: Even older DDR4 stock is feeling the pressure, with standard 32GB DDR4-3200 kits slipping from their $240 anchor down to $235.

The Distributor Squeeze: This drop isn't because manufacturing costs got cheaper (as our spot tracking shows, they haven't). This is pure distributor capitulation. Retailers can no longer afford to hold unsold inventory, validating the demand destruction thesis

Welcome !! Don’t chase false breakouts and protect your capital. Patience is your edge.

Wednesday is shaping up to be a highly critical trading session as markets navigate a collision course of major macroeconomic catalysts. The risk calendar kicks off with global inflation and trade impacts, highlighted by the release of the UK CPI and the broader market implications of the U.S.-Canada 50% tariffs. Energy markets will then be put to the test with the latest EIA Oil Inventories, a vital link in the current risk transmission chain affecting crude prices. Shortly after, the 20-year U.S. Treasury auction will gauge long-term debt demand and heavily influence bond yield stability. Finally, the release of the FOMC minutes will cap off the day, providing essential central bank insight and tying these interconnected market risks together.

Macro Backdrop: What You Should Keep in Mind

As we head into the trading week, September rate hike odds have fallen to 30% from 42%. The critical question for the market is whether upcoming crude prices and housing data will suggest further deflation or persistent inflation pressures.

Below are the core macro crosscurrents driving the tape:

• Long-Term Rates & Bond Yields: The 30-year Treasury auction cleared at 5.216% (a 25-year high). While short-term yields softened following cooler inflation prints, the long end pushed higher. With the 10-year yield hovering at 4.686% (the key benchmark for mortgage rates), elevated long-term borrowing costs continue to exert valuation pressure on high-multiple growth equities.

• Oil & The Consumer: Traffic through the Strait of Hormuz ticked up to 17% of pre-war levels (up from 4% the prior week), but the blockade remains active with only 151 ships transiting in seven days. Average pump prices sit at $4.07/gallon versus $3.16 a year ago. Even with headline CPI moderating to 3.4%, consumer sentiment remains pinned to daily fuel costs over lagging index reports.

• Retail Health on Deck: Retail sales slipped 0.6% in July—the steepest monthly decline since May 2025. A heavy slate of retail earnings this week will reveal whether corporate leadership views July as an isolated blip or the start of a broader spending slowdown.

• Breadth Divergence: 75.2% of S&P 500 components trade above their 200-day moving average (up from 71.7%), propelling both small caps and equal-weight indexes to record highs. In contrast, Nasdaq breadth remains noticeably narrower, with only 49.4% of components holding above their 200-day line.

Market Conditions & This Week’s Edge

This Week’s Edge: The uptrend held its ground without extending it. SPY and QQQ maintained clean Trend-Holds. Across our universe, Trend-Holds expanded to 30 of 60 while Breakdowns nudged from 6 to 7. Market leaders rested while previously damaged names drove the weekly momentum. In a flat index environment characterized by underlying churn, chasing strength carries the highest penalty: execute at defined entries and let price come to your levels.

Index Status & Breadth Dynamics

• S&P 500 (SPY): Closed at 776.34 | Trend-Hold (roughly flat on the week).

• Nasdaq-100 (QQQ): Closed at 731.07 | Trend-Hold (+1.1% on the week).

• Regime Shifts: Upgrades outpaced downgrades 13 to 9. Trend-Holds rose from 27 to 30, Repairs contracted from 7 to 5, and Breakdowns ticked up from 6 to 7.

• Top Gainers: NBIS (+48%), OSCR (+17%), CRWV (+16%), SMSN.L (+16%).

• Top Losers & Damage: AVGO (-8%), LULU (-7%), AMAT (-6%), BIDU (-6%). Fresh structural breakdowns emerged in LULU .

Earnings Calendar & Risk Protocols

Weekly Earnings Schedule

DayReporting Companies MondayFabrinet (FN) TuesdayHome Depot (HD), Baidu (BIDU), Keysight (KEYS), Toll Brothers (TOL) WednesdayTarget (TGT), Lowe’s (LOW), TJX Companies (TJX), Analog Devices (ADI), Estée Lauder (EL) ThursdayWalmart (WMT), Alibaba (BABA), Deere & Co. (DE), Ross Stores (ROST) FridayBJ’s Wholesale Club (BJ)

• Active Earnings Playbook Instructions:

  • BABA: Tagged Wait / Half Size

  • TGT: Tagged Buy Dips

  • WMT: Tagged Wait / Half Size

  • BIDU: Tuesday release; manage existing risk ahead of the print.

• Looking Ahead: NVIDIA (NVDA) reports Wednesday, August 26. Factor this date into current position sizing if planning multi-week holds across tech and semiconductors.

This Week’s Playbook & Risk/Reward Sizing

Category Focus

• Near Defined Entry (Trigger Imminent): DG, AMZN, SPY, TSM, COPX, SPCX. Price is consolidating directly on/near the entry support band.

• Buy Dips Leaders (Patient Weakness Entries): MSFT, NOW, LMT, TGT, and RBRK. Established, strong trends with room to run; wait for pullbacks into structural demand zones.

Top 6 trades i am executing

Berkshire Hathaway is sitting on a historic cash hoard, with the vast majority parked in short-term U.S. Treasury bills. While T-bills offer liquidity and risk-free nominal yield, holding cash in a regime of persistent fiscal deficits, sticky inflation, and expanding sovereign debt is a guaranteed long-term drag on real purchasing power.

To deploy capital at scale, Warren Buffett and Greg Abel do not gamble on speculative tech cycles. They look for capital-efficient, irreplaceable tollbooths that function as hard-asset hedges against fiat debasement.

Berkshire’s aggressive expansion into Alphabet (GOOGL) represents far more than an ordinary equity investment. It is an allocation into the ultimate sovereign fiat arbitrage: shorting depreciating fiat debt to own hyper-scalable, power-backed, inflation-linked physical infrastructure.

1. The Century Arbitrage: Shorting Fiat at Scale

Alphabet executed one of the most audacious corporate financing maneuvers in market history by issuing ultra-long debt—anchored by 100-year century bonds maturing in 2126—as part of its global debt capital raises.

[ Depreciating Sovereign Fiat ]

│

100-Year Fixed Debt Issuance (Locked in Today's Dollars)

│

▼

[ Generational Hard Assets: Power, Land, Fiber & Compute ]

│

▼

[ Floating-Rate, Real-Time Inflation-Linked Cash Flows ]

* The Sovereign Debt Reality: With U.S. debt-to-GDP remaining structurally elevated and annual sovereign interest costs absorbing trillions, central banks face persistent financial repression. The real value of sovereign currency will steadily erode over decades.

* The Arbitrage: Alphabet borrowed fixed, "expensive" dollars today that it will service and repay with heavily debased, cheaper dollars over the next century.

* The Historic Playbook: This mirrors how the Vanderbilt and Rockefeller empires issued long-dated bonds to lay transcontinental rail and oil pipelines that yielded for generations, or how Berkshire issued 40-year Yen-denominated bonds to acquire dividend-yielding Japanese trading houses. Alphabet has executed this exact wealth transfer at a massive scale with an AAA-grade balance sheet.

2. The Hard Asset Base: The Power Plant, Not Just the Lightbulb

A primary critique from tech skeptics has been that AI data centers suffer from rapid obsolescence—claiming "silicon depreciates to zero in 3–5 years." This fundamentally mistakes the lightbulb for the power plant.

The Nuance in the Silicon Layer: GPUs & Memory

Even at the chip level, the obsolescence narrative is overstated:

* Memory Durability & Value Concentration: High-Bandwidth Memory (HBM) and enterprise DRAM now account for over 25% of the total hardware bill of materials (BOM). Unlike hot processor logic, memory chips run cool, have no moving parts, and exhibit physical durability exceeding 10–20 years. They retain substantial residual utility across multiple architecture iterations.

* Extended Hardware Lifespans: Recent enterprise deployments, such as CoreWeave maintaining multi-year customer leases on legacy A100 architectures (spanning 6 to 9 years of useful production life), prove that older GPUs do not become worthless overnight. They cascade down the value chain—transitioning from frontier LLM pre-training to fine-tuning, batch inference, internal batch workloads, and edge serving.

The True Generational Assets

More importantly, silicon represents only the modular, hot-swappable layer of the data center. The underlying physical foundation represents an enduring infrastructure moat:

| Asset Class | Physical / Contract Lifespan | Moat & Scarcity Dynamics |

|---|---|---|

| Industrial Land & Shells | 50–100+ Years | Large-parcel land within 50 miles of major metros and core Internet Exchange Points (IXPs) is finite and heavily constrained by zoning. |

| Power Infrastructure & Substations | 40–60 Years | Dedicated 500MW+ on-site substations, step-down transformers, and high-voltage grid interconnects. AI scaling is strictly power-gated. |

| Subsea & Terrestrial Dark Fiber | 25–40 Years | Proprietary global routes (e.g., Grace Hopper, Dunant, Equiano). Alphabet owns the global internet backbone, eliminating third-party transit taxes. |

| Next-Gen Power Rights | 30–50 Years | Direct off-take agreements, 24/7 carbon-free power deals, advanced geothermal (Fervo), and Small Modular Nuclear Reactor (SMR) capacity (Kairos Power). |

| Industrial Water Rights | Perpetual | Grandfathered cooling intake rights in key geographical corridors that can no longer be acquired by new entrants. |

The server blades and accelerator trays will be upgraded every few cycles; the multi-gigawatt power interconnects, dark fiber conduits, and physical real estate will compound cash flows for a century.

3. Dynamic Pricing Power: The Real-Time Inflation Sensor

Owning hard physical assets shields balance-sheet capital, but outperforming fiat debasement requires revenue that scales dynamically with nominal price expansion.

Alphabet possesses one of the most responsive inflation pass-through mechanisms ever engineered: the real-time programmatic auction (CPC/CPM).

If systemic money supply expansion drives the nominal price of retail goods, vehicles, or enterprise software higher, advertising merchants automatically increase their acquisition bids to capture those transactions. The auction clearing price floats freely with nominal inflation.

While Alphabet’s top-line cash flows expand alongside inflation, its 100-year bond coupons remain locked at a fixed nominal rate. Very few enterprises on Earth command 100% variable, inflation-indexed revenue paired with multi-decade fixed-rate liabilities.

4. Energy Monopolization: Compute as the New Oil

The ultimate bottleneck for artificial intelligence is not model architecture—it is raw, high-density electrical power. Compute is simply the conversion of electrons into structured intelligence.

By aggressively locking down multi-decade Power Purchase Agreements (PPAs), dedicated substations, and nuclear off-take contracts, Alphabet is building a vertically integrated digital utility.

When sovereign currencies devalue, physical commodities and base-load power experience severe repricing. Alphabet controls both the primary input (contracted energy) and the highest-margin conversion mechanism (custom silicon, Search, and Cloud AI infrastructure). This mirrors Standard Oil's historic dominance: controlling both the wells and the distribution infrastructure.

5. The Digital Sovereign: A Fortress Alternative to Paper Yield

As sovereign debt piles grow, institutional allocators increasingly seek refuge in balance sheets with genuine solvency:

* Cash Generation: Over $70B+ in annual Free Cash Flow with a pristine net-cash position.

* Irreplaceable Utility: Core platforms (Search, YouTube, Android, Google Cloud) that function as foundational layers of global commerce.

* Pricing Power: Incremental operating margins exceeding 50–60% on digital services.

Berkshire’s vast capital reserves cannot remain entirely in paper T-bills while structural inflation erodes purchasing power. By establishing a massive position in Alphabet, Berkshire effectively executed a classic macro hedge:

> The Macro Thesis: You are not simply buying a technology stock; you are shorting a melting ice cube of sovereign fiat to own a permanent, power-secured physical utility that prints floating-rate, inflation-linked cash flows.

>

​Today recent 13F filings hit the wire, a glaring narrative emerged: institutional money was broadly trimming or exiting some of the market's most reliable compounders and tech heavyweights. The "smart money" seemed to have reached a consensus to sell.

​However, the latest earnings cycle has exposed the fatal flaw in that strategy. Wall Street's heaviest hitters left money on the table, and as these companies prove their fundamental strength, we are about to witness a massive wave of reverse buy momentum. Here is why the institutions got it wrong—and why the capital will have to come flooding back in.

​The Consensus Sell That Missed the Mark

​Hedge funds and large asset managers often move in herds. The latest public filings showed significant trimming across a diverse basket of tech, financial, and industrial giants. But the recent corporate scorecards paint a completely different picture of economic health:

​Amazon (AMZN): Despite the institutional offloading, the e-commerce and cloud giant surged +15.3% following a blowout earnings report. The underlying business is accelerating far faster than the 13F bears anticipated.

​Thermo Fisher (TMO): The life sciences leader rose +9.2% after soundly beating estimates and raising its forward guidance, completely defying the institutional skepticism.

​Workday (WDAY): The enterprise software powerhouse jumped +9.1% following a definitive EPS beat, proving that enterprise spending remains highly resilient.

​Nu Holdings (NU): The digital banking disruptor surged +9.1% pre-market and closed even higher after crossing a major milestone with its first $1 billion profit quarter.

​Honeywell (HON): The industrial conglomerate gained +5.7% the day following its earnings announcement, showing steady, undeniable operational execution.

​ServiceNow (NOW): The IT workflow giant rose +5.0% after beating both top and bottom-line estimates, making the institutional decision to trim look remarkably premature.

​ConocoPhillips (COP): The energy titan rose +3.3% on the back of strong production numbers and a doubled share repurchase program, rewarding those who held the line.

​Mastercard (MA): The global payments network gained +2.5% following its earnings release, demonstrating the continued strength of the consumer.

​ASML Holding (ASML): The semiconductor equipment monopoly gained +2.2% following its earnings report, underscoring that the global chip super-cycle is far from over.

​Microsoft (MSFT): The tech titan continued to demonstrate why it remains a cornerstone of the market, posting strong fundamental validation following its own robust earnings update.

​The Catalyst for Reverse Buy Momentum

​When institutional investors get caught offside by strong fundamental performance, they cannot afford to underperform their benchmarks for long. The 13F filings showed portfolio managers aggressively de-risking, but the actual earnings show companies firing on all cylinders.

​This creates a textbook setup for reverse buy momentum.

​Funds that trimmed or sold out of these names entirely will now be forced to chase the performance they missed. As asset managers scramble to re-allocate capital into these proven winners to avoid career-ending underperformance, we expect a cascading wave of institutional buying. The consensus sell was wrong, the fundamentals are undeniably accelerating, and the smart money is about to realize they need to buy back in—at much higher prices.

• The Premium for Immediate Capacity: Cloud infrastructure provider Nebius reports that their capacity is selling out the moment it comes online. The desperation for immediate compute is so high that short-term contracts are clearing at massive premiums—sometimes double the pricing of long-term deals, reaching $40 million to $50 million per megawatt.

• The Durability of Older Chips: The ongoing compute squeeze is keeping legacy hardware highly profitable. CoreWeave recently signed a contract extending the use of Nvidia A100 GPUs deep into 2029. Despite the A100 launching in 2020, this six-year-old silicon is still securing long-term deals at attractive prices, proving that hyperscalers and developers will aggressively contract older chips when next-generation supply is bottlenecked.

The Bottom Line

The AI gold rush heavily favors the bold. The ultimate advantage belongs to the players who can leverage massive Wall Street capital, lock down next-generation architectures like Vera Rubin, and monetize every available megawatt of legacy compute while the rest of the market waits in line.

Subscribe for a complete breakdown of the ongoing compute squeeze. We analyze the extended durability of older chips, the impact of compute inflation on future demand, and whether you should be bullish or bearish on semis.

The dominant driver in today’s market isn’t just corporate earnings or central bank policy—it is geopolitics. We are operating in an environment where safe havens, hedging, and diversification are essential survival tactics. We are seeing selective winners in this market, but the reality is clear: equities can run, but they cannot truly fly unless they are running on the “crude and gas, drill baby drill” theme.

• Setup is meaningfully different from last week

• Upside runs will face headwinds and are likely to be challenged

• Risk sentiment is negative; fear is the prevailing theme

• Liquidity remains sidelined with little appetite to deploy

  "This content is for educational and informational purposes only and does not constitute financial advice."

  The Iran Conflict and The Strait of Hormuz

All eyes remain firmly fixed on the Iran conflict and the critical Strait of Hormuz choke point. Roughly 20 million barrels of oil transit this narrow waterway daily, making it the most vital energy bottleneck on the planet.

Crude oil (USO) slumped 8.66% last week as negotiations between Iran and Oman regarding the strait’s reopening reduced the geopolitical risk premium in the market. However, the situation remains highly fluid. On Saturday, Iran indicated that while a deal is close, it is not yet enough to fully open the strait. Final terms remain under negotiation, keeping energy markets heavily on edge.

Bad News is Good News: Jobs Miss Fuels Relief Rally

In a classic “bad news is good news” reaction, U.S. equities rallied sharply this week on moderating Fed rate expectations and strong earnings breadth. Participation broadened meaningfully across sectors as Friday’s jobs report missed expectations to the downside.

The U.S. economy unexpectedly lost 23,000 jobs in July, widely missing the expected 80,000 gain. Adding to the softness, May and June numbers were revised down by an additional 103,000 jobs. This rapid labor market cooling slashed the odds of a September rate hike from roughly 58–67% last weekend down to just 42–44% by Friday.

Bond markets quickly priced out near-term rate risk, sending the 10-year yield ($TNX) down 1.69% to 4.66%. This cross-asset movement sparked a massive growth-friendly relief rally across risk assets, pushing the S&P 500 index to a record close of 7,757.64 (up 3.6% on the week and 13% year-to-date).

Safe Havens, Hedging, and Diversification

Despite the risk-on tape in equities, the underlying geopolitical uncertainty means investors are heavily prioritizing safe havens and portfolio diversification:

• Precious Metals: Gold (GLD) surged 7.25% to 398.47, with mining equities leading the tape higher as investors sought hard-asset protection.

• Digital Assets: Bitcoin (IBIT) caught a bid alongside traditional havens, adding 3.25% to 36.80.

• Credit Markets: High-yield credit (HYG) remained remarkably flat at +0.16%, which is consistent with a market showing risk appetite but lacking outright panic.

The Week Ahead

The fate of the market’s next move hinges on upcoming inflation data. CPI will drop on Wednesday, followed by PPI on Thursday. These two reports will ultimately move the needle on the final odds for a rate hike.

However, make no mistake—until the Strait of Hormuz is fully resolved, energy supplies and geopolitical headlines will remain the ultimate wildcards. Stay hedged, stay diversified, and watch the crude tape closely.

This Week’s Playbook

Earnings . I have picked my winners for the week.

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1. Asymmetric Execution Pacing (Buying Slow, Selling Fast)

The bot must be programmed to decouple its entry and exit pacing, specifically implementing the "buy slow, sell fast" principle

2. Emotional selling to Data-Driven Selling

The bot must be programmed with hard guardrails against the behavioral trap of selling purely based on extreme performance metrics.

there is research to prove that, you know, selling either of best performing or worst performing the two extremes is possibly the worst that you can do compared to selling any random stock in the portfolio. Because you are selling is based on only emotion.

Memory price summary as of August 7, 2026

​The overall market is currently experiencing extreme "memflation" (memory price inflation) driven heavily by AI data center demands and shifts in manufacturing capacities.

​🏭 Industry & Wholesale Spot Prices (DRAMeXchange, MemoryMarket, Stanford DAM)

​DDR5 Spot Pricing: The spot price for DDR5 16Gb (4800/5600) chips is currently averaging $51.60. Prices have surged more than 10% month-over-month across most DDR5 product lines.

​DDR4 Spot Pricing: The average fixed transaction price for general-purpose PC DRAM (DDR4 8Gb) hit $24.00, rising over 14% just from last month. For context, DRAM prices have jumped nearly 15-fold since early 2025.

​NAND Flash: NAND memory is also hitting record highs this month, with wafer prices for 512Gb TLC climbing to an average of $19.25.

​Supply Chain Context: Major foundries (SK Hynix, Samsung, Micron) have shifted over 70% of their 12nm capacity to produce HBM (High Bandwidth Memory) and server modules for AI infrastructure. This is actively squeezing supply for the consumer desktop channel.

​🛒 Consumer Retail Prices (PCPartPicker, Pangoly, RamRadar, WhereIsMyRam)

​Consumer retail pricing has seen triple, and in some cases, quadruple increases compared to late 2025.

​32GB DDR5 Kits: A conventional 32GB (2x16GB) DDR5-6000 kit that used to cost $90–$120 is now starting at around $350 to $420, with high-performance or low-latency kits fetching over $500.

​16GB DDR5 Kits: Entry-level 16GB kits (2x8GB) are currently hovering around $240 to $245.

​8GB DDR5 Modules: Individual 8GB DDR5 sticks have a 30-day moving average of $129.

​DDR4 Kits: Older DDR4 stock is not immune to the crunch. Standard 32GB DDR4-3200 kits are now trending around $220 to $250.

Subscribe to know how to setup AI trading based on memflation algorithm.

​To truly master the market, you cannot just look at your overall return; you have to break down every action into the unit economics of decision-making. By isolating these variables, you can pinpoint exactly which asset classes and strategies you excel at—and where you might be leaving money on the table.

​Here are the four core decisions of investing and the metrics that define them.

​1. The Buying Decision: The Hit Rate

​The first step is deciding what asset to acquire and when to enter the market. The metric used to measure your success here is your Hit Rate (or win rate).

​What it measures: Out of all the assets you purchase, what percentage actually generate a positive return?

​The Insight: A high hit rate means your initial research, screening, and entry timing are highly effective. You are good at spotting winners out of the gate.

​2. The Holding Decision: The Slug Rate

​Once you buy an asset, every day you don't sell it is an active decision to hold it. This is measured by your Slug Rate (or magnitude of victory).

​What it measures: How much profit do your winning trades generate compared to your losing trades?

​The Insight: You don't need a perfect hit rate if your slug rate is massive. This metric reveals your patience and your ability to let compounding do its work, rather than cutting your winners short out of fear.

​3. The Weighing Decision: The Weighing Rate

​Not all ideas are created equal. The weighing decision comes down to position sizing and conviction, measured by your Weighing Rate.

​What it measures: Are you allocating the most capital to your absolute best ideas?

​The Insight: Many investors have great hit and slug rates but fail to generate wealth because they put too little money into their biggest winners. A strong weighing rate shows you know how to aggressively back your highest-conviction trades.

​4. The Selling Decision: The Tie Breaker Rate

​Eventually, every asset must be evaluated for an exit, whether to lock in gains, stop losses, or reallocate capital to a better opportunity. We measure this through the Tie Breaker Rate.

​What it measures: When evaluating two competing opportunities, how well do you decide which asset to sell and which new one to buy?

​The Insight: This is the ultimate test of opportunity cost. It shows your ability to objectively kill your "darlings" when the thesis changes and successfully rotate your capital into more productive assets.

​Finding Your Advantage

​By analyzing these four variables—hit rate, slug rate, weighing rate, and tie breaker rate—you move away from guessing why your portfolio is up or down. Instead, you gain a surgical understanding of your behavior. You might discover that you are exceptional at picking volatile tech stocks (high hit rate) but terrible at holding them (low slug rate). Or, you might find that you have a real talent for sizing up real estate investments (high weighing rate) compared to equities.

​Subscribe to understand based on your past trades what you are good at.

Now that Washington picked a side, the supply chain landscape is shifting. Reuters reported this week that regulators are drafting a rule against new Chinese-made parts in American data centers, specifically targeting optical transceivers. There's no official announcement yet.

For those of us looking for conviction trades and reliable options setups amidst the volatility, understanding this hardware flow is critical.

Here is your map of who catches the volume

My top 3 Holdings :

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​Watch 🤑🤑🤑Figma🤑🤑 closely over the next week to see how this plays out. Subscribe today for a full list of stocks primed for the next liquidity surge! 🔥

Timing and liquidity are everything. Right now, the setup is incredibly asymmetrical. But it is absolutely critical to be in the right stocks, because this week, the winners are going to win big. Subscribe to know

​We are looking at a classic slingshot scenario, fueled by short squeezes and a massive influx of capital. Here are the four major reasons why the bulls are about to take total control:

timing and liquidity are everything. Right now, the setup is incredibly asymmetrical. But it is absolutely critical to be in the right stocks, because this week, the winners are going to win big.

​We are looking at a classic slingshot scenario, fueled by short squeezes and a massive influx of capital. Here are the four major reasons why the bulls are about to take total control:

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​Want to evaluate a Neocloud's path to profitability? The secret is server depreciation length.

​Here’s the baseline algorithm for GPU infrastructure:

1️⃣ Years 1-3: Pay off the CapEx.

2️⃣ Years 4-5: Pure profit (or longer, depending on how creatively they stretch the hardware's useful life).

​Take CoreWeave: With $35B in current debt, wiping that out over 3 years means they need to hit $12B in revenue in 2026 to make the math work.

You don't need to overcomplicate the market. You just need the right algorithms. Build conviction. Win big. Hit subscribe for more breakdowns.

To

The Short-Term Trade (0–6 Months):

The Medium-Term Hold (6–18 Months):

The Long-Term Investment (2+ Years):

Details Analysis and recommendation for each of the above:

The Short-Term Trade (0–6 Months):

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