The tool that’s so good it might end the world? Or the company that doesn’t.

If you’ve been following the AI space for more than five minutes, you already know the answer. “Too dangerous to release” isn’t a safety posture.

For the record, I love Claude. I prefer it over OpenAI - but this wholeClaude Mythos marketing strategy has never been more obvious, even with their “safety board”.

Seven Years of the Same Headline

In 2019, OpenAI released GPT-2 and announced they were withholding it from the public because it was too powerful, too dangerous, too liable to flood the internet with “misinformation”.

The World Economic Forum covered it breathlessly. TechCrunch ran the headline.

Everyone was freaking out, while they were raising billions of dollars.

In 2021, a tool that had been “previously thought too dangerous” quietly dropped. The world didn’t end.

In 2023, GPT-4 shipped with formal warnings about potential misuse.

In 2024, their o1 model came with headlines about “self-preservation behaviors.”

In 2025, they’re admitting ChatGPT causes psychiatric harm and GPT-5 is being flagged as “high risk” for biological and chemical weapons.

Seven years. Same story. Different model number.

At some point, you have to ask yourself: are these companies genuinely worried about their technology? Or have has OpenAI discovered that fear is the most effective marketing tool in Silicon Valley?

.. And is Amodei starting to copy the strategy?

The Business Logic of Existential Dread

Think about what the “dangerous AI” narrative actually does for these companies:

It signals that their technology is powerful enough tmatter. It creates urgency and FOMO among investors, enterprise customers, and governments.

Enter Dario Amodei and the Anthropic Playbook

Dario Amodei worked at OpenAI. He watched them refine this strategy up close, then he left, founded Anthropic. To his credit, he ran the exact same play, but harder - and arguably built a better, safer product.

Anthropic’s brand identity is “we are the responsible ones.” They portray themselves as the “good guys” compared to the other money-hungry startups.

They were recently even blacklisted from the Pentagon because Claude refused to do mass surveillance & autonomous weapons,

The fact that they recently gave up hundreds of millions in military contracts gave gives Anthropic another reason to start looking for cash, and to triple-down on their newest model being the craziest model out there.

And their new “security council”, a body of “independent organizations” convened to evaluate whether this model is safe enough for the world.

Sounds serious. Let’s look at who’s on it.

The “Independent” Council That Isn’t

Here is the list of companies Anthropic has assembled as independent safety validators:

Amazon: One of Anthropic’s largest investors, with a multi-billion dollar stake and a cloud infrastructure partnership that ties their futures together.

Apple: Already paying Anthropic enormous sums to power AI features — Bloomberg’s Mark Gurman has reported on the scale of this relationship.

Broadcom: Anthropic has contracted them for tens of billions of dollars in custom chip development.

Cisco: A significant Anthropic investor.

CrowdStrike: Already on the Anthropic payroll for security services.

Google: One of the earliest and largest Anthropic investors, with a reported multi-billion dollar commitment.

JPMorgan Chase: Major investor.

The Linux Foundation: Anthropic earlier co-founded a dedicated fund directly with this organization the Agentic AI Foundation

Microsoft: Huge Investor.

NVIDIA: Huge Investor.

Palo Alto Networks: Their entire AI security stack already runs on Claude, they’ve been direcrtly partnered together for a long time.

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Let me ask you something: if you were designing a truly independent safety council, would you stack it entirely with your own shareholders, chip suppliers, enterprise customers, and co-funding partners?

Of course not. Because that wouldn’t be a safety council. That would be a board meeting with better PR.

This isn’t a committee of neutral experts evaluating existential risk. It’s a coalition of financially motivated insiders who have every incentive to bless the product so it can ship, scale, and generate returns on their investments.

What This Is Actually About

Claude Mythos is not going to end the world. It is not going to trigger a nuclear exchange between India and Pakistan. It is not a superintelligent war machine.

It is a large language model with impressive capabilities and a very sophisticated marketing team.

The “security council” announcement exists for three reasons:

1: To eat OpenAI’s lunch in the press cycle. Every day spent covering Anthropic’s responsible safety theater is a day not spent covering GPT-5, Grok, or Meta’s Llama models.

2: To signal seriousness to regulators. Governments around the world are trying to figure out how to regulate AI. Companies that demonstrate “voluntary safety governance” have a massive head start in shaping whatever rules eventually emerge.

3: Money. To justify the valuation. “We’re building something so powerful we had to assemble a global coalition to make sure it doesn’t destroy civilization” is a compelling story.

The Part No One Wants to Say Out Loud

Influencers, mainstream media, podcast hosts actually benefit from this hype - it’s more interesting to say the world is ending.

Content creators gets clicks, investors benefit, and normal start blackpilling.

The more grounded read is simpler: these are powerful, useful, genuinely transformative tools being built by companies with normal commercial incentives.

You do not need to be afraid. You do need to be skeptical - especially of the people who profit most from your fear.


As an investor - keep this marketing hype in mind & don’t get too carried away.

The S&P 500 just ripped 3.6% in two sessions. The best back-to-back performance since the spring of 2025. Retail investors are flooding into calls. CNBC is running segments about whether the bull market is back. Cramer is telling you three ways the market flips if the war ends.

It’s not ending.

And the rally you just watched wasn’t driven by peace. It was driven by passive flows and dealer mechanics. Three distinct groups of forced buyers, none of which hold a view on geopolitics, collided on the last trading day of Q1 to produce a face-ripping squeeze that is now being sold to the public as a fundamental turning point.

It isn’t. Here’s why.

The lie that launched a thousand points

On April 1, Trump posted that Iran’s president “has just asked the United States of America for a CEASEFIRE.” Markets surged. The S&P added another 47 points. Oil dropped below $100 for the first time in weeks.

Within hours, Iran’s Foreign Ministry spokesperson Esmail Baghaei went on state television and called Trump’s claim “false and baseless.” The IRGC issued a separate statement declaring the Strait of Hormuz “firmly and decisively” under their control. Iran’s Foreign Minister Abbas Araghchi had told Al Jazeera the day before: “At present there is no negotiation. The trust level is at zero.”

This is not a new pattern. It is the fourth time in nine days that Trump has claimed diplomatic progress and Iran has denied it within hours.

The first and most flagrant episode hit on March 23. Roughly 6,200 oil futures contracts worth approximately $580 million traded in a single minute between 6:49 and 6:50 AM ET, nearly nine times normal volume. About $1.5 billion in S&P 500 futures were purchased simultaneously. Fifteen minutes later, at 7:04 AM, Trump posted on Truth Social about “GOOD AND PRODUCTIVE CONVERSATIONS” and a “COMPLETE AND TOTAL RESOLUTION OF OUR HOSTILITIES.” The S&P surged 240 points in six minutes. Iran denied it at 7:37 AM. The index gave back half the move by 8:00 AM.

Total swing: roughly $3 trillion in market capitalization over 56 minutes. The suspicious pre-announcement volume patterns have drawn attention from federal prosecutors in Manhattan, who met with Polymarket representatives after one trader reportedly earned approximately $1 million on Iran-related prediction bets with a 93% win rate. Paul Krugman called the pattern treason. Multiple members of Congress have called for formal investigations.

Iran’s parliament speaker Mohammad Bagher Ghalibaf has been remarkably direct about what he thinks is happening. He accused Trump of using “fake news to manipulate the financial and oil markets.” By March 30, Ghalibaf was posting what amounts to trading advice on X: “Pre-market so-called ‘news’ or ‘Truth’ is often just a setup for profit-taking. It’s a reverse indicator. Do the opposite: If they pump it, short it.”

When the speaker of a foreign parliament is publicly offering counter-trade advice against the President of the United States during an active war, something has gone structurally wrong with price discovery.

Tonight’s presser: the mask slipped

Then came tonight.

At 9 PM ET on April 1, Trump addressed the nation from the White House on the war’s trajectory. The market narrative heading into the speech was peace. De-escalation. Ceasefire imminent. The two-day rally was priced on exactly that assumption.

Here’s a summary of what was said:

Trump declared Iran’s military capabilities destroyed: navy gone, air force in ruins, most leaders dead, ability to launch missiles and drones curtailed. He stated core strategic objectives are close to completion, that the U.S. would finish the job “very fast,” and is on track to complete all of America’s military objectives “shortly, very shortly.”

Then the escalation language: the U.S. is going to hit them “extremely hard over the next two to three weeks.” He noted the U.S. could strike their oil, that America holds “all cards whereas they have none,” and that Iran “is truly no longer a threat.”

On energy, Trump called gas price increases short-term, blamed Iran’s attacks on tankers, and stated that American oil production will soon be “substantially higher.” He said the U.S. does not need oil from the Middle East, has not needed the Hormuz Strait, and when the conflict ends, the strait will open up naturally.

Buried near the end: “Meanwhile, discussions are ongoing.”

Read that sequence again. That is not the language of a president preparing to accept a ceasefire— it is the language of a president preparing to escalate. Hitting them “extremely hard over the next two to three weeks” is not a peace signal. Threatening to “strike their oil” is not de-escalation. Finishing the job “very fast” is not a wind-down.

The market rallied into this speech on the hope of peace and just got told, on national television, that the plan is to accelerate.

The passive entities that built this rally

Let’s talk about what actually moved the S&P 500 on March 31. Because it was not Trump’s ceasefire claims. It was three categories of forced, passive, non-discretionary buying that converged on a single session.

The JHEQX dealer squeeze through 6,475

The JPMorgan Hedged Equity Fund manages approximately $20.9 billion and runs the single largest systematic options structure in U.S. equity markets. Every quarter, it rolls a three-leg put-spread collar on the S&P 500, with each leg involving roughly 35,000 SPX contracts and notional exposure approaching $22.7 billion per leg.

The Q1 collar had its protective put struck at 6,475. When the S&P broke below that level on March 26 amid war escalation, the collar’s hedging dynamics inverted: dealers who were short the put had to sell futures as the index fell, turning what was supposed to be a mechanical floor into a trapdoor that accelerated the decline. By March 30, dealer delta exposure (DEX) had reached approximately negative $835 billion, the most extreme mechanical selling pressure of the entire war cycle.

On roll day, the old collar expired and JPMorgan established the new Q2 structure (estimated strikes: 5,210/6,180 put spread against a 6,865 short call, June expiration). Here is where the squeeze happened. As the index rallied off the morning lows and traversed back through 6,475 to the upside, gamma at that strike was extremely rapid on the last day of the quarter. Dealers who had been forced sellers below 6,475 became forced buyers above it. The gamma flip at the 6,475 strike swung from approximately negative $45 million to positive $42.8 million in a single session, an $87 million single-strike reversal. Simultaneously, the new collar’s placement supplied fresh volatility to the market, compressing implied vol, which triggered vanna-driven dealer buying (when vol drops, dealers buy back delta). This created a self-reinforcing feedback loop that powered the afternoon rip. DEX recovered 94% of five weeks of war-cycle damage in one afternoon.

That is not a vote of confidence in peace. That is what happens when the largest options structure in the market rolls on the last day of the quarter and the index happens to cross a critical gamma strike to the upside. It does not repeat until June.

The Q2 collar now maps the mechanical landscape for the next three months. The 6,180 long put becomes the new dealer floor: above it, dealers buy shallow dips mechanically. The 6,865 short call caps upside with increasing dealer selling pressure into any approach. And critically, a break below 6,180 would replicate the March 26 inversion, turning the floor back into a trapdoor.

CTA forced covering from the 99th percentile

Commodity Trading Advisors entered the war long equities. They exited it very, very short. Goldman Sachs estimated CTAs sold $184 billion of global equities over the prior month, flipping to roughly $47 billion net short globally and $18.4 billion short in U.S. equities specifically. UBS data showed CTA short exposure in S&P 500 futures hit the 99th percentile on a five-year basis. Nasdaq at the 97th. Russell at the 95th.

When Trump posted the ceasefire headline on March 31 and the JHEQX roll compressed vol simultaneously, CTA models hit their mechanical buy triggers. Goldman’s prime desk flagged systematic positioning as “approaching washed-out levels.” The asymmetry is extreme: in a sustained up tape, CTAs would need to buy $142 billion globally as models flip from short to long. In a sustained down tape, additional selling capacity is only $35 billion. The bearish bet is already fully expressed.

Key CTA trigger levels for the S&P 500: 6,756 (short-term), 6,745 (medium-term), 6,399 (long-term). The index closed at 6,575 on April 1. Still below the short-term and medium-term flip levels. A sustained move above 6,745 would force mechanical buying across the entire CTA complex. But the index has to get there first, and the JHEQX short call at 6,865 now caps the upside.

Goldman’s broader positioning data reinforces how extreme the setup was heading into the quarter-end. Global equities were net sold for six consecutive weeks, with shorts outnumbering longs 5.6 to 1. Gross hedge fund leverage hit 313.7% (five-year high) while net leverage fell to 71.3% (bottom decile). The Vol Panic Index sat at 9.2 out of 10, in panic territory for 17 straight sessions, one of the longest streaks in 15 years.

Pension rebalancing: $13.8 billion of forced buying

Goldman projected $13.8 billion in pension fund equity purchases for the Q1 end-of-quarter rebalancing, the 97th percentile of monthly flows tracked over three years. The largest rebalancing buy in years, driven by the war-induced ~5% equity decline during March pushing pension portfolios below their target allocations.

Much of the $13.8 billion concentrated into the final two trading days of March. This is not discretionary. It is not a view on the war. It is math. When equities drop and your mandate says 60/40, you buy equities to get back to target. Period.

Three categories of passive, forced, non-discretionary buyers. None of them care about Iran. All of them fired simultaneously on March 31. The collar won’t roll again until June. Pension rebalancing is done for the quarter. The first wave of CTA covering has passed.

What’s left is positioning, headlines, and a war that is about to enter its most dangerous phase.

The dead cat that thinks it can fly

OANDA’s senior macro strategist Kelvin Wong issued the most direct call: the rally was driven by short-covering and quarter-end positioning, not a sustainable bullish reversal. Only 24% of S&P 500 stocks trade above their 50-day moving average. Both the S&P and Nasdaq printed bearish engulfing patterns on their quarterly charts. The Dow’s 20-day moving average just crossed below its 200-day: a death cross.

Goldman’s oil shock history is the number that should keep you awake. Across four severe oil shocks (1974, 1980, 1990, 2022), the median peak-to-trough S&P 500 decline was 23%. The average was 27%. The mildest episode, the Iranian Revolution, still produced a 17% drawdown.

The S&P 500 has declined just 6.1% from its January all-time high near 7,000. Oil has surged 68% from pre-war levels. The Strait of Hormuz is handling 11 transits per day versus 138 pre-war. The IEA is calling it the largest supply disruption in the history of the global oil market. And the index has barely corrected.

Bear market rallies are historically violent and convincing. Goldman has identified 19 since 1980, averaging 44 days and 10-15% gains. All of them failed. During the dot-com bust there were 11 separate rallies of 5% or more within a total 49% decline. A 3.6% two-day bounce is noise by those standards.

The thinnest book in two years, and retail is all-in

Everything described above played out in a market with almost no depth.

Citadel Securities, the largest equity market maker in the world, published their April Capitulation Checklist on March 23. The liquidity data is stark. S&P 500 E-mini top-of-book depth sat in the 3rd percentile over the past two years. Investors could transact roughly $2.5 million at the touch versus a $12 million year-to-date average. That is back to Liberation Day levels from April 2025, when the S&P dropped 6% in a single session.

Think about what that means for the rally you just watched. A 2.91% move on March 31 happened in a market where the order book could absorb less than a quarter of its normal capacity at any given price level. The move was not a function of overwhelming demand. It was a function of overwhelming demand hitting an order book with no depth. The same mechanics that amplified the rally on the way up will amplify the selloff on the way down. Air pockets work in both directions.

ETF volumes have accounted for 35% or more of total equity trading for a record streak, peaking at 47%, a new five-year high. This is not broad-based participation. This is institutional hedging via ETF baskets while keeping core single-name exposures intact. It is synthetic short gamma: the end-of-day rebalancing flows from levered ETFs create mechanical volatility that compounds whatever directional move is already underway.

Now here’s the part that should concern you.

Retail investors have been net buyers of U.S. equities every single week since the end of November. Not most weeks. Every week. Through the entire war. Through the five consecutive losing weeks. Through the worst monthly decline in over three years. They kept buying.

Citadel’s own flow data shows January 2026 was the largest net buying month on record on their platform, going back to the meme stock era. February, despite the war starting on the 28th, still ranked as the fifth-largest net buying month ever. Average daily net notional on Citadel’s retail platform is running roughly 60% above last year, 25% above the prior peak in 2021, and double the 2020-2025 average.

The dip-buying intensity is accelerating, not fading. In February, retail net notional on S&P down days was 4.3x that of up days. In January it was 2.1x. Retail is not just buying the dip. They are concentrating their entire firepower on red days, convinced every selloff is a buying opportunity.

The vehicle of choice tells the story. Nearly 40% of all retail options volume on Citadel’s platform is now in zero-day-to-expiration contracts. Average daily retail options volume in 2026 is running 14% above 2025 and 47% above the 2020-2025 average. Retail options investors have been skewed better-to-buy in 41 of the last 42 weeks. This is not hedging. This is directional, leveraged, intraday speculation concentrated in the most convex and most perishable instruments available.

Meanwhile, sentiment surveys have collapsed. CNN Fear & Greed sits at 15, down 50 points from January. The AAII Bull/Bear Spread hit its lowest level in three months. Citadel’s own Retail RORO (Risk-On/Risk-Off) indicator has declined sharply from February highs.

Read that combination again. Retail sentiment is bearish. Retail positioning is aggressively long. They feel terrible about the market and they’re buying it anyway, reflexively, on every down tick, with 0DTE calls.

This is what getting trapped looks like. It does not feel like a trap at the time. It feels like discipline, conviction, buying when others are fearful. The problem is that “others” includes every institutional desk, every systematic fund, and every pension that just finished de-risking. Retail is the marginal buyer in a market where institutions have already left. And they’re buying into a 3rd-percentile liquidity book, two days before a long weekend, ahead of a deadline that could trigger a ground invasion.

Scott Rubner, Citadel Securities’ head of equity and equity derivatives strategy, summarized it precisely: “The conditions for a rally are very high, if geopolitical tensions ease, considering one of the largest short positions on US stocks that we’ve ever seen.” The operative word is IF. His capitulation checklist has not fully healed. The reflexive squeeze has created air pockets in both directions.

The market just rallied 3.6% on passive flows, fabricated diplomacy, and retail conviction into the thinnest order book in two years.

What happens when the headline flips?

Q2 levels: where gravity lives

The table below maps the key mechanical and technical levels for Q2, from the JHEQX collar boundaries to CTA triggers and our downside targets. Our premium models at QuantMap seek a potential monthly low of 6,120-6,180 on ES, which sits directly at the JHEQX Q2 long put strike and aligns with the lower bound of Goldman’s moderate correction scenario.

S&P 500 / ES Key Levels

~7,040 (0%) — January 28 intraday all-time high

6,865 (-1.9%) — JHEQX Q2 short call. Dealer ceiling. Increasing resistance into any approach.

6,756 (-3.5%) — CTA short-term buy trigger. Mechanical flip level.

6,745 (-3.6%) — CTA medium-term buy trigger.

6,700 (-4.3%) — Weekly resistance, trend reclaim level.

6,575 (-6.1%) — April 1 close. Current level.

6,475 (-7.5%) — Former JHEQX Q1 put strike. The rapid gamma level from the March 31 squeeze.

6,399 (-8.6%) — CTA long-term trigger.

6,300-6,350 (-9.3% to -10.0%) — Goldman moderate downside range. Key structural support.

► 6,120-6,180 (-11.7% to -12.6%) — QuantMap premium model monthly low target. JHEQX Q2 long put strike.

5,800-5,900 (-15.7% to -17.1%) — Mild oil shock analog (Iranian Revolution produced -17%).

5,400 (-22.9%) — Goldman severe shock scenario. Median historical oil shock drawdown.

Nasdaq 100 / NQ Key Levels

~26,180 (0%) — 52-week high / all-time high.

~24,800 (-5.3%) — Q2 mechanical resistance zone (proportional to ES 6,865).

~23,400 (-10.6%) — Current area (April 1).

22,500-22,800 (-12.9% to -14.1%) — Proportional moderate correction target.

► 21,500-22,000 (-16.0% to -17.9%) — Proportional to ES 6,120-6,180.

20,000-20,500 (-21.7% to -23.6%) — Mild oil shock analog.

18,500 (-29.3%) — Severe shock proportional target.

Dow Jones / YM and Russell 2000 / RTY

DJIA / YM: ATH ~49,000. April 1 close: 46,566. Correction target: 42,500-43,200 (-11.8% to -13.3%).

RUT / RTY: ATH ~2,680. April 1 close: 2,512. Correction target: 2,250-2,320 (-13.4% to -16.0%).

The critical observation: the JHEQX Q2 long put at 6,180 and our premium model target of 6,120-6,180 are effectively the same zone. Above 6,180, dealers mechanically buy dips. Below it, the hedging structure inverts and dealers become forced sellers, just as they were below 6,475 in late March. A break of 6,180 does not just represent a price level. It represents a regime change in market microstructure where the largest options overlay in the world flips from support to amplification.

The Easter weekend trap

Here’s where it gets real.

Good Friday is April 3. NYSE and Nasdaq close entirely. No overnight equity trading from 8 PM ET April 2 through the open on Monday, April 6. The March nonfarm payrolls report drops at 8:30 AM on April 3 while equity markets are shut. Gap risk is enormous.

April 6, Easter Monday, is Trump’s deadline for Iran to reopen the Strait of Hormuz. He has threatened to “completely obliterate” Kharg Island, Iran’s oil wells, and its power plants if the deadline passes.

The 31st Marine Expeditionary Unit (2,200-3,500 Marines purpose-built for amphibious assault) arrived in the CENTCOM area on March 27 aboard USS Tripoli. The 82nd Airborne is deploying. The USS George H.W. Bush carrier strike group left Norfolk on March 31. The Pentagon has been planning ground operations targeting Kharg Island, coastal sites near the Strait, and Iranian nuclear facilities. Former CENTCOM Commander General Frank McKenzie confirmed these plans have existed “for many years.”

Tonight, Trump said military objectives would be completed “shortly, very shortly.” He said the U.S. would hit Iran “extremely hard over the next two to three weeks.” He said they could “strike their oil.”

Now reread the timeline. Thursday’s close on April 2 is the last equity session before the Easter weekend. The April 6 Hormuz deadline hits on Monday. If escalation begins Friday night or over the weekend, when markets are closed and there is zero liquidity, Monday’s open could gap down violently.

The setup is textbook. Rally into a long weekend on passive flows and fabricated optimism. Retail buys the dip. Institutions have already de-risked. The headline drops when nobody can trade.

Scenario 1: Quick seizure, confirmed by Monday. Markets gap down on the invasion, then stabilize if it looks decisive. CTA triggers hold above 6,399. Range: 6,300-6,400 ES.

Scenario 2: Operation starts, gets messy. Iran retaliates with Fateh-series missiles from the mainland (15-20 miles from Kharg). Casualties mount over the weekend. Markets open Monday into a void. The 6,180 JHEQX floor breaks, dealer hedging inverts, mechanical selling compounds the move. Range: 6,100-6,180 ES initially, with risk of acceleration toward 5,800-5,900 if the conflict expands.

Scenario 3: No military action, another extension, more talk. Markets chop sideways with a slight positive drift. Possible, but increasingly difficult to square with tonight’s rhetoric and the force posture in theater.

A double-digit decline from the all-time highs is not a bear case. It is the barely-moderate case in a world where the largest oil supply disruption in history is ongoing, ground troops are positioned for amphibious assault, and the president just told you on live television that he plans to hit them “extremely hard.”

The bottom line

The rally you watched this week was built on three pillars: a quarterly options roll that fires mechanically regardless of fundamentals, pension funds that buy equities because their allocation spreadsheets demand it, and CTAs covering the most extreme short position in five years after a ceasefire headline that Iran denied within hours.

None of those forces repeat next week. The JHEQX collar is set until June. Pension rebalancing is done. CTA covering will only continue if the index sustains above current levels, and the dealer ceiling at 6,865 caps the upside.

What does repeat is the pattern of fabricated diplomacy followed by denial. Trump claims progress. Iran denies it. Suspicious trades precede the announcements. Markets whipsaw. And the war grinds forward.

Tonight’s speech removed the ambiguity. The president is not winding down. He is finishing. “Very fast.” Over the “next two to three weeks.” With the option to strike their oil.

Good Friday creates the perfect window. No equity trading. No liquidity. No price discovery. The April 6 deadline arrives while markets sleep.

The passive entities that bought this week don’t have opinions about war. They had quarterly mandates and mechanical triggers. Those mandates are now fulfilled. Those triggers have been pulled.

What remains is a market 6% below its highs, priced for peace, heading into an Easter weekend where the most likely outcomes range from escalation to invasion. Our models show an unnerving propensity for S&P 6,120-6,180 and a broad index decline into official correction territory.

If you found this analysis valuable, share it with someone who needs to see it before Thursday’s close. This is a companion piece to “The Perfect Storm No One Priced,” published March 2026.

Some people say that Amazon censors and delists books…

Their company Twitch has problems, censors, has issues…

Others mention their $1.2 Billion dollar contract with Google, and the Israeli government & military.

Or alleged human rights issues.

Whatever moral reason you may have to dislike Amazon…

At some point I realized that I can’t “boycott” everything. To make any change, I need to have power.

Until then, complaining doesn’t work.

It’s a dark world. Let’s recognize how we can profit off of it.

And If you don’t like that, I hope you enjoy staying poor and living like a hermit… while we create the future.

Turns out Amazon doesn’t even hide its investments.

They announce them.

Through press releases, fund websites, portfolio pages - the Alexa Fund, the Climate Pledge Fund, the Industrial Innovation Fund all publish their holdings publicly. When Amazon backs a company, they often want you to know. The information isn’t buried in regulatory filings or locked behind a terminal. It’s sitting on aboutamazon.com, posted the same day the deal closes.

The problem isn’t access. It’s that most people see the headline, move on, and never connect the dots to what this actually signals.

Amazon doesn’t make investments for financial reasons. They make them for operational ones. When they write a check into a company, it’s almost always because they need that company to exist; to move their packages, fly their cargo, power their data centers. That changes the risk profile of every position in the portfolio entirely.

Don’t forget that 65% of the US economy is B2B.

So rather than of analyzing at companies as an individual entity, analyze each company as an imbricated node in a network of supply chains.

These are some nodes in Amazon’s network, and how you can copy this strategy:

1. Rivian Automotive (RIVN) — The One That Defines the Strategy

Amazon announced its Rivian investment in 2019 alongside a purchase agreement for 100,000 electric delivery vans. Both happened simultaneously, Because they were the same decision. Amazon needed electric delivery infrastructure and Rivian was the best bet to build it.

Today Amazon holds 158 million shares, about 17% of the company - worth roughly $2.18 billion. That’s 88% of their entire disclosed equity portfolio in one stock.

The public narrative on Rivian is grim. IPO’d at $78 in 2021, hit $172, now trades around $15. But Amazon’s cost basis sits around $8–9 per share from their pre-IPO rounds. They’re still profitable on paper. Retail investors who chased the IPO hype absorbed the crash. Investors who tracked the original 2019 announcement and bought in the post-collapse range ended up in a very different place.

The current setup is more interesting than the stock price suggests. Rivian just announced a $1.25 billion robotaxi deal with Uber. Their Volkswagen joint venture passed winter testing milestones. Gross profit turned positive in Q4 2024 for the first time in company history.

Amazon is not selling. They need the vans. This isn’t financial advice though, but Uber & Amazon aren’t going away anytime soon.

2. BETA Technologies (BETA) (yes, that’s the real name)

It’s not just Amazon working with them.

• The Department of Defense (now department of war)

• UPS

• United Therapeutics

AND Amazon have huge contracts with them.

So after Amazon has been publicly building their relationship with BETA for years, until one day they announced a huge investment.

The thing is, this is pre-IPO. Hopefully at least some of you have the capital to do that, but this is what you do post-IPO:

Don’t just fall for the hype.

Amazon paid roughly $28 per share. BETA now trades around $15. That’s an unrealized loss of approximately $155 million in just a few months… BUT

BETA has $1.71 billion in cash, FAA certification milestones tracking for H1 2026. Amazon’s interest is obvious: electric short-haul air cargo is the logical next frontier after electric ground delivery.

The investment logic is identical to Rivian in 2019, one category later.

If Amazon’s average cost is $28, buying below that means entering at a better price than one of the world’s most sophisticated logistics operators got in at. The thesis is long. But the entry point has become genuinely compelling since the news broke.

I hate the concept, and I think A LOT of people don’t like the idea of random drones flying above us 24/7, but once they get approved their stock is going crazy.

The future of the company (and it’s potential) seems contingent on its pending regulations, which is what Amazon is betting on…

3. Air Transport Services Group (ATSG), the missed Jackpot

Amazon publicly announced its ATSG relationship years before the equity stake became widely discussed Prime Air cargo was always presented as an Amazon-ATSG partnership. The equity component was disclosed through regulatory filings over time, eventually revealing a 19.4% stake.

Not only Amazon worked with them.

• DHL

• Department of Defense (notice a pattern?)

• UPS

ATSG operated Amazon’s cargo fleet. Amazon was the anchor customer. In April 2025, infrastructure firm Stonepeak acquired ATSG in an all-cash deal at $22.50 per share, paying out Amazon’s position at roughly $286 million: a significant return over their estimated entry in mid-$10s.

The trade is closed, and we missed out. Once you see companies as the complex imbricated networks they are, it’s easy to spot the next one.

ATSG was the template. Rivian and BETA are the current versions of it.

4. Astera Labs (ALAB): The AI Infrastructure Play That Already Ran

Not only Amazon.

• NVIDIA

• AMD

• Intel

• TSMC

Are all partnered with Astera. See the pattern?

Their relationship with AWS was publicly documented before the IPO; Amazon’s warrant position converted to equity when Astera went public in March 2024 at $36.

The stock hit $262 in late 2025. It now trades around $112 after a broad semiconductor correction.

The business meanwhile posted 92% year-over-year revenue growth in Q4 2025 with 75% gross margins.

Amazon’s customer relationship with Astera is not going to deteriorate. Their infrastructure capex is expanding. The equity stake is confirmation of something the commercial relationship already told you.

5. Marvell Technology (MRVL) - The Quiet Custom Silicon Relationship

The stock trades around $94, up from an estimated entry around $50, range-bound between $80 and $100 through early 2026 after a strong 2025 run.

I don’t feel like writing the rest of this out, you get the point. Amazon told us they would invest in them, paid them money for their services, then stock went up.

It’s not rocket science.

The Pattern

Four of Amazon’s five biggest positions follow the same logic: identify an operational dependency, back the best company solving it, hold equity as both a financial position and a supply chain guarantee.

How do you make money? Look at the role of the company in its larger network - will it be around in 5 years? Do other companies depend on it?

But don’t buy IPO hype, that’s how you get killed in the market.

Even though Amazon is net green (by a lot, obviously) there are a lot of smaller losers too. Do your own research.

The framework: follow the equity stake when there’s an operating relationship underneath it.

The announcements are public. The partnerships are documented. The portfolio pages are updated regularly. Most people read the headline and move on.


This is your FUTURE. Your success is not guaranteed. Statistically, most people are average. You should be terrified of the chance of you failing. Spend the time, pain, money, do the risk, anything it takes to figure it out properly.

Not financial advice though. Do your own research.

The current elite have a seat, you don’t. They are smarter are more ruthless than you.

Ask yourself: Why are they smarter? What do they know, that you don't?

While you look at Twitter, they’re studying what the CIA is betting on.

While the average investor is watching CNBC and chasing whatever stock went up yesterday, a small group of insiders has been quietly tracking the CIA’s own venture capital firm for years. They followed the money into Palantir when nobody was talking about it. They knew about Google Earth before it was Google Earth. They saw Databricks coming when data warehousing was considered the most boring sector in tech.

The information they were using has been publicly available the entire time. It lives at iqt.org/portfolio. The name of the firm is In-Q-Tel. And once you understand how it works, the pattern becomes almost embarrassingly obvious.

This is not a conspiracy theory. This is publicly documented. And if the people running the largest funds in the world are using it, you should be too.

What In-Q-Tel Actually Is

Let’s be real about what this thing is.

In-Q-Tel is the CIA’s investment arm. Full stop. It was created in 1999 by then-CIA Director George Tenet because the agency looked around and realized the most powerful surveillance and intelligence technology in the world was no longer being built inside government labs. It was being built by 25-year-olds in San Francisco who had no interest in dealing with government procurement processes.

So rather than wait 10 years for a defense contractor to build something mediocre, they created a private venture capital firm, funded it with taxpayer money, and sent it to Silicon Valley to buy stakes in the companies building exactly what the CIA needed. The name “In-Q-Tel” is literally a reference to Q from James Bond. The guy who builds the spy gadgets. That is not a coincidence. That is the whole point.

Legally it is structured as an independent nonprofit, which is how it avoids certain disclosure requirements. It receives funding through contracts with the CIA and other agencies, but is not technically “owned” by any of them. That structure is important because it means the full scope of what it invests in and what those companies do for the government is partially classified. You can see who they funded. You cannot always see what was built.

Here is what that means for you as an investor. Every company In-Q-Tel writes a check to has already cleared one of the most rigorous customer qualification processes on earth. The CIA’s analysts looked at the technology, determined it solved a real problem they have, and decided to fund it. That is not a letter of intent. That is a guaranteed revenue relationship with a customer that has a black budget and does not negotiate on price.

The company gets the money, gets the government contract, and gets the credibility that comes from being a CIA-backed vendor. Then the commercial market pays attention. Then the institutional investors follow. Then retail investors find out about it - usually right around the time the stock has already moved 300 percent.

The information about what they are investing in has always been public. The portfolio is posted on their website. Most people just never thought to look.

The Wins: What Getting It Right Looks Like

The track record is what separates this from speculation. When IQT gets it right, it does not just get it a little right.

Keyhole became Google Earth. IQT’s portfolio includes early investments in companies such as Palantir Technologies and Keyhole Inc., which Google later acquired and transformed into Google Earth, demonstrating IQT’s foresight and ability to anticipate technological revolutions with far-reaching national impact. A small satellite imagery startup, funded by the CIA to give Pentagon mapping analysts better tools. Google recognized the same technology had a billion-user application, bought it, and turned it into the most-used navigation tool in human history. IQT saw both possibilities at once.

Palantir is the most dramatic example in the portfolio. Palantir may well be the clearest sign that Silicon Valley has shacked up with the Pentagon for good. It was recently valued at $250 billion, surpassing traditional defense contracting titans like Northrup Grumman, Lockheed Martin, and General Dynamics, even though its revenue is just a fraction of those giants. Anyone who understood IQT’s backing years before the IPO had every signal they needed. The stock hit $6 at its 2022 lows. It ran to $207 before pulling back. That is a 3,000 percent move that was hiding in plain sight.

Recorded Future exited at a 3x multiple. Recorded Future received initial funding from Google and In-Q-Tel. The company specializes in the collection, processing, analysis, and dissemination of threat intelligence. It was later acquired privately by Insight Partners for $780 million, then Mastercard completed its acquisition of Recorded Future in December 2024, adding AI-driven threat intelligence capabilities to its cybersecurity services for $2.65 billion. Every step of that value creation was preceded by IQT’s early stamp.

Databricks is the sleeper. In 2016, In-Q-Tel made one of its most successful investments in Databricks, a data warehousing and AI platform that is currently valued at $43 billion, which pulled in $1.6 billion in 2024 alone. IQT invested years before AI became a cultural moment. The intelligence community was building the use case internally. Databricks is now one of the most anticipated IPOs in the market.

What ties all of these together is a simple pattern: IQT identifies a technology the government desperately needs, backs the best company solving that problem, and the government contract becomes the proof-of-concept that makes the commercial market pay attention. The institutional money follows. The stock explodes.

The Losses: What Getting It Wrong Looks Like

This is the part nobody talks about when they pitch the IQT playbook. Not everything in the portfolio is a Palantir. Some of it blew up spectacularly, and understanding why is the difference between making money and losing it.

Geofeedia was the most public disaster. The company had a genuinely clever product - a live map that pulled geotagged posts from Twitter and Instagram so law enforcement could see exactly where people were in real time during protests and large events. Geofeedia specializes in collecting geotagged social media messages to monitor breaking news events in real time. The company counted dozens of local law enforcement agencies as clients and marketed its ability to track activist protests on behalf of both corporate interests and police departments.

It worked. Departments in Oakland, Chicago, Detroit, and dozens of other cities were paying for it. Then the ACLU got involved. After the ACLU’s report, Twitter said it was immediately suspending Geofeedia’s commercial access to its data. Facebook, which also owns Instagram, said it cut off Geofeedia from access to its developer platform after learning the firm violated terms of service. Following these suspensions, Geofeedia scaled back its business, cutting its sales force by half. The company never recovered meaningfully.

The lesson is brutal and simple: if your entire business model sits on top of someone else’s API, you do not have a business. You have a license that can be revoked overnight.

PATHAR followed the same trajectory. PATHAR’s product, Dunami, was used by the FBI to mine Twitter, Facebook, Instagram, and other social media to determine networks of association, centers of influence, and potential signs of radicalization. When Geofeedia collapsed under public scrutiny, PATHAR lost platform access and quietly disappeared. No IPO. No acquisition. No exit.

The pattern in both failures is identical: narrow use case, built entirely on third-party data the company did not own, with no proprietary layer that could survive losing the API access. The moment the social platforms decided the political risk outweighed the revenue, these companies ceased to exist.

Compare that to Dataminr, which survived where Geofeedia failed. Dataminr built proprietary AI on top of the data rather than simply reselling the access. When Twitter cut off Geofeedia, Dataminr eventually negotiated a different relationship because it had become genuinely valuable as an analytical layer, not just a data pass-through. That distinction is everything.

The Pattern: What Separates a Win From a Loss

After looking at the full run of IQT investments, the winners and losers split cleanly on a few factors.

The winners build proprietary technology that cannot be replicated by revoking an API key. Palantir owns the data integration architecture. Databricks owns the processing engine. Recorded Future owns the analytical model. MongoDB owns the database layer itself. None of these companies disappear if one platform changes its terms of service.

The losers build distribution on top of someone else’s infrastructure. Geofeedia was a front-end for Twitter and Instagram data. PATHAR was a front-end for the same. When the pipes got cut, there was nothing underneath. No moat. No leverage. No survivability.

The winners also have explicit dual-use applications. Government builds the initial market, commercial scales it. Keyhole’s satellite imagery was useful to the Pentagon and to every person who needed driving directions. Palantir’s data analytics were useful to the NSA and to every hospital system trying to reduce fraud. Databricks was useful to intelligence analysts and to every Fortune 500 company drowning in unstructured data.

The losers were single-use tools. Tracking protesters is not a commercial use case anyone will publicly buy. That ceiling was always going to be the problem.

The Current Watch List: Where to Position Now

The Current Watch List: Where to Position Now

Do your homework.

The IQT portfolio today reflects the same structural logic that produced the earlier winners. Government use case first, commercial explosion second. Whether the current batch follows that same trajectory is not guaranteed. Nothing in investing is. But the signals are there if you know where to look.

Below are some examples of what seem interesting, NOT FINANCIAL ADVICE.

Dataminr hired a CFO specifically to lead IPO preparations in July 2025 and raised $85 million the same year. Companies do not do both of those things in the same calendar year by accident. Whether the offering actually happens in 2026 or gets pushed is genuinely unknown. What is worth researching is why Dataminr survived where Geofeedia collapsed. The short answer is that Dataminr built its own analytical layer on top of social data rather than simply reselling API access. Whether that proprietary layer is defensible enough to support a public company valuation is a question only your own diligence can answer. Pre-IPO shares are available on secondary markets through platforms like Hiive and Forge for accredited investors, currently at a significant discount to the 2021 peak.

Anduril is easier to understand as a thesis, harder to act on. Real revenue. Real government contracts. A product suite the U.S. military has already integrated into active operations. Last private valuation was $14 billion. No IPO date announced. The defense spending environment right now historically precedes major defense IPOs, but whether Anduril times its offering to that window or waits years longer is speculation. What you have to decide is whether $14 billion is a fair entry point given the competitive landscape and what a budget shift does to that number. Reasonable people disagree.

The bioengineering plays are the most speculative category on this list by a wide margin and should be treated accordingly. IQT is funding companies combining AI with programmable biology. The potential commercial applications in drug discovery, agriculture, and industrial processes are theoretically enormous. The timeline to get there is genuinely unknown. This is not a 2026 story. It might not be a 2030 story. What is worth doing is tracking the companies now so that when the co-investor signals start appearing, you have the context to move quickly.

The IQT portfolio gives you a head start, not a guarantee. The work of turning that head start into an actual investment decision is still yours to do. Look at the portfolio. Read about the companies. Make up your own mind.

That is the only version of this playbook that works long term.

How to Read the Portfolio Like an Analyst

Most people look at the IQT portfolio and see a list of company names. Analysts look at the same list and see a map of what the U.S. government is about to spend money on for the next decade.

The difference is in knowing what questions to ask.

The first thing to look at is clustering. When IQT starts investing in multiple companies solving adjacent problems in the same time window, that is not coincidence. That is a procurement signal. In the mid-2010s they backed Databricks, Palantir, and several other data analytics companies within a few years of each other. That cluster told you the intelligence community had a massive unsolved problem around unstructured data and was throwing money at every company that looked like it could help. The correct response was to buy every publicly accessible piece of that thesis and wait. Right now the clustering is happening in AI inference hardware, autonomous weapons systems, and programmable biology. Those clusters are telling you the same thing the data analytics cluster told you ten years ago.

The second thing to look at is the founder background. IQT is disciplined about who it backs. When you see a company in the portfolio led by a former NSA director, a former DARPA program manager, or someone who spent a decade inside one of the major defense primes, that is a company that already knows how to sell to the government. They speak the language. They know the procurement process. They have the clearances. The technical risk might still be real but the go-to-market risk is essentially zero. Government sales cycles that kill normal startups do not kill companies run by people who spent their careers inside those systems.

The third thing to look at is what is missing. IQT does not invest in everything, and the gaps in the portfolio are as informative as the investments themselves. When a category of technology is obviously relevant to national security and IQT has not backed anything in it, there are two explanations. Either they have classified investments in that space that are not showing up on the public portfolio, or they looked at the category and decided no company was ready yet. Either way, that tells you something. It tells you either the technology is further along than the public narrative suggests, or there is a gap in the market that someone is about to fill and IQT will fund them when they do.

The fourth thing to look at is geography. IQT’s recent expansion into London, Sydney, Singapore, and Munich is not about international diversification for its own sake. It reflects where the allied intelligence community sees emerging threats and where the companies solving those problems are being built. When IQT opens an office in a new city, the portfolio companies coming out of that region in the following two years tend to be specifically relevant to whatever that country’s intelligence services are prioritizing. Australia’s office reflects Indo-Pacific surveillance technology. The Singapore office reflects ASEAN threat monitoring and maritime intelligence. Follow the offices to find the regional investment thesis.

The Co-Investor Signal

One of the most powerful tools in this entire playbook costs you nothing and requires no special access. It is simply watching who gets into a deal after IQT does.

Here is how the sequence typically works. IQT makes an early investment, usually at Series A or B, and the company begins developing its technology with a government contract providing baseline revenue. At this stage the company is nearly invisible to the broader venture community. It is not showing up in TechCrunch. It is not being discussed on investing podcasts. The only people who know about it are the founders, the government counterparts they are working with, and the small network of defense-focused investors who track IQT’s moves.

Then the technology matures enough to demonstrate commercial potential beyond the government use case. The company raises a larger round, and this is where the co-investor signal becomes powerful. If the Series C or D includes Andreessen Horowitz, Sequoia, General Catalyst, or any of the major multi-stage funds that have the resources to do serious diligence, that is the confirmation that the commercial thesis is real. Those funds did not invest because of the government contract. They invested because their analysts looked at the total addressable market and decided the technology had a generational commercial opportunity.

Pay attention to opportunities like this

The reason the co-investor signal matters so much is that it compresses the information asymmetry. You do not need to have read the classified government contract to know the technology works. You do not need to have sat in the product demos. You do not need to have done primary research with government buyers. Andreessen Horowitz has a $35 billion fund and a team of 200 people who did all of that work. When they write a check, they are telling you everything they found out. You just have to be paying attention.

The opposite signal is equally useful. When an IQT company raises follow-on rounds but the co-investors are smaller funds, family offices, and strategic corporate investors rather than the major growth-stage VCs, that is a sign the commercial case has not fully materialized. The technology might be working perfectly for the government use case while still failing to translate into a commercial product civilians would pay for. That is the profile of a company that ends up as a government contractor forever, never goes public at a consumer-scale valuation, and delivers modest returns to early investors instead of the generational ones you are looking for.

The distinction between Palantir and Geofeedia maps almost perfectly onto this framework. Palantir attracted serious institutional capital that believed in the commercial thesis. Geofeedia never did. By the time the ACLU report dropped and the platforms revoked access, there were no major institutional holders to ride it out. There was no commercial runway to pivot into. There was nothing underneath the government contracts except the contracts themselves.

Sector Breakdown: What IQT Is Betting On Right Now

The current IQT portfolio is not the same portfolio it was in 2015. The sectors it is most aggressively funding right now reflect where the intelligence community sees the next decade of threats and capabilities. Understanding these bets is how you get ahead of the next cluster.

AI inference and edge computing. The intelligence community’s problem is not building AI models. It is running them at the edge, in denied environments, on hardware that does not have a reliable connection to a data center. Think submarines, forward operating bases, and satellite systems that need to make autonomous decisions without phoning home first. IQT is funding companies building specialized chips and software stacks that can run large AI models locally on constrained hardware. The commercial analog of this technology is every device manufacturer in the world trying to run AI locally on phones, laptops, and cars without burning through battery life. The defense use case proves the technology under the most demanding conditions possible. The commercial market is orders of magnitude larger.

Quantum computing and post-quantum cryptography. IQT has 25 unicorns in its portfolio, including companies in the quantum computing space. D-Wave listed on the NYSE and acquired Quantum Circuits in early 2026. Tracxn But the quantum bet is not just about quantum computers. It is equally about the companies building encryption systems that can survive a world where quantum computers exist and can break current RSA encryption. Every bank, every hospital, every government system on earth will need to upgrade its cryptography when quantum computers reach sufficient scale. IQT is funding the companies that will perform that upgrade. The government is the first customer. Every financial institution on the planet is the commercial market.

Synthetic biology and programmable life. This is the newest and most ambitious cluster in the current portfolio. IQT has been building a position in companies that combine AI with biological systems, essentially applying software logic to living cells. The defense applications include biodefense, biosurveillance, and performance enhancement. The commercial applications include drug discovery, agricultural biotechnology, and industrial fermentation. This is a 10 to 15 year thesis, not a 2 to 3 year trade. But the companies being funded right now are the ones that will be acquired for billions or go public at generational valuations when the technology matures. Getting in early means getting in before the narrative exists, which is exactly when the best prices are available.

Autonomous systems and robotics. Anduril is the flagship but it is not the only company in this bucket. IQT has been systematically building exposure to the full stack of autonomous defense systems: the sensors that detect threats, the AI that identifies and classifies them, the communications infrastructure that coordinates responses, and the physical platforms that carry out actions. The commercial analog is every logistics, agriculture, and infrastructure company trying to automate dangerous or expensive physical work. The military is building the supply chain and proving out the reliability at a scale no commercial customer could afford to fund. The civilian market inherits the technology at a fraction of the development cost.

Deepfake detection and information integrity. Notable recent investments include GetReal Security, a California-based firm developing anti-AI screening systems that help detect deepfakes and other deceptive methods. Washington TimesThe intelligence community’s problem with deepfakes is obvious. The commercial problem is equally enormous. Every media company, every financial institution doing remote identity verification, every social platform trying to maintain trust is going to need this technology. IQT’s investment signals that the government has already decided this problem is critical and that GetReal’s approach is the most promising solution it has seen. Watch for the co-investors that follow.

Position Sizing and Risk Management

None of this works if you size the positions wrong.

The IQT playbook is a high-conviction, long-horizon strategy. It does not mean putting half your portfolio into Palantir or betting your savings on a pre-IPO investment in a company that might not go public for five years. It means building a diversified set of positions across the confirmed winners, the near-term IPO candidates, and the early-stage private companies, sized according to where each sits in the risk spectrum.

For public companies with established IQT provenance, like Palantir and D-Wave, reasonable position sizes are what you would allocate to any high-conviction growth stock. Meaningful enough to matter to your returns, small enough that a 30 percent drawdown does not change your life. These companies have real revenue, real government contracts, and real commercial businesses. They are not going to zero. The risk is valuation, not existential survival.

For pre-IPO private companies on secondary markets, the position size should reflect the reality that these are illiquid, speculative, and could take years to reach a liquidity event. Accredited investors who participate in secondary markets typically allocate between two and ten percent of their investable assets to the entire private markets category, not to a single company. Within that allocation, spreading across three or four IQT-adjacent private companies is more sensible than concentrating in one. Dataminr, Anduril, and a bioengineering name gives you exposure across the near-term IPO thesis, the defense hardware thesis, and the decade-long science thesis simultaneously.

For the earliest stage companies that just appeared in the IQT portfolio, the position is information, not capital. You cannot buy equity in most of these companies yet. What you can do is track them, understand the technology, map the commercial use cases, and be ready to act quickly when they either raise a public round, appear on a secondary market, or get acquired by a public company whose stock you can buy. The preparation is the position.

The single biggest mistake retail investors make with this kind of thesis is acting too late and sizing too large at the same time. They hear about Palantir at $150 and put in more than they should because they feel like they missed the early move and are trying to make up for it with size. That is the exact opposite of the right behavior. The right behavior is smaller size at higher certainty, which in this framework means the public companies, combined with earlier positioning in the private companies where the real upside still exists.

Why the Government Never Stops Writing Checks

There is a foundational question underneath all of this that is worth addressing directly: what if government spending gets cut and the whole thesis collapses?

It is a legitimate question and it deserves a real answer.

The intelligence and defense budget does not behave like discretionary consumer spending. It does not contract when inflation rises. It does not shrink when the stock market falls. It is not subject to the same political pressures that cut social programs or infrastructure investment, because the stated justification for every dollar in it is national security, and no elected official in any party has ever successfully run on a platform of making the country less secure.

The budget has grown in every decade since the Cold War. The events that accelerated the most recent growth cycles include 9/11, the rise of Chinese technological competition, the war in Ukraine, and the emergence of AI as a potential military force multiplier. None of those factors are going away. In fact, the AI element is still in its earliest stages of military adoption, which means the companies building AI-enabled defense and intelligence tools are at the beginning of a multi-decade procurement cycle, not the end of one.

There is also a structural point that gets overlooked. IQT does not just create companies that sell to the government. It creates companies that the government becomes dependent on. Once the NSA runs its data fusion architecture on Palantir, switching to a different system requires rebuilding years of institutional knowledge, retraining thousands of analysts, and accepting a period of reduced capability while the transition happens. That switching cost is one of the most powerful moats in enterprise software, and it is even more powerful when the customer is a government agency that treats continuity as a security requirement. The recurring revenue these companies generate does not come from quarterly sales cycles. It comes from multi-year contracts with renewal clauses and expansion options that compound over time.

That is the machine. It was built by the government. It runs on taxpayer money. And the returns it generates flow to the people who understood what it was early enough to position.

The list is public. The pattern is documented. The next ten years are going to look a lot like the last ten years, except the technologies will be more powerful, the commercial markets will be larger, and the companies being funded right now will be the ones everyone is talking about in 2035.

You are reading about them today.

This is not financial advice. Pre-IPO investments are speculative and only available to accredited investors. All stock investments carry risk. The information above is for educational purposes only. Do your own research before making any investment decisions.

On February 8, 2026, the President of the United States posted this on Truth Social:

“Record Stock Market, and National Security, driven by our Great TARIFFS. I am predicting 100,000 on the DOW by the end of my Term. REMEMBER, TRUMP WAS RIGHT ABOUT EVERYTHING!”

Twenty days later, US and Israeli fighter jets launched a decapitation strike on Tehran. Ayatollah Ali Khamenei, the 86-year-old Supreme Leader of Iran, was killed alongside members of his family. Before his body was cold, the IRGC launched hundreds of ballistic missiles and drones at every US military installation in the Middle East. Dubai International Airport, the busiest in the world, was damaged and shut down. The Burj Al Arab was hit. Jebel Ali Port caught fire. Bahrain, Qatar, Kuwait, Jordan, Saudi Arabia, and the UAE were struck simultaneously. Six US service members were killed. The Strait of Hormuz was closed to shipping. Over 200 freight ships are stalled behind it.

The S&P 500 closed at 6,910 on February 28, hours before the strikes began. For the first time in modern history, the index’s earnings yield have fallen below the risk-free rate on a 10-year Treasury. You are being paid more to own government bonds than to own every company in America. The last two times this inversion occurred were 2000 and 2007. You know what happened next.

Monday arrived. Markets gapped down, then staged one of the most reckless buy-the-dip rallies in recent memory. The S&P clawed back from -1.2% to close essentially flat at 6,882. Defense stocks surged. Energy rallied. And for roughly six hours, the market told itself a comforting story: that this was another geopolitical blip to be bought, just like every other one.

Then Tuesday happened. Overnight, Israel launched new strikes on Iran. Two drones hit the US Embassy in Riyadh. S&P futures plunged 2%. The Kospi crashed 7.24%. The Nikkei fell 3.06%. Europe’s Stoxx 600 dropped 2.7%. Brent crude pushed back above $77. European natural gas had already exploded 50% in two sessions. Gold reclaimed $5,400.

The repricing has begun. It is nowhere near finished.

This piece was being written before the first bomb fell. The valuations, the volatility regime, the AI circular financing, the credit stress, the political entanglement: all of it was already in place. Iran was the catalyst, but the bomb was already built. And when you see how these threads connect, you will understand why the most significant repricing event in a generation is only in its opening act.

I. The Most Expensive Market in 155 Years

The math is not debatable.

The Shiller CAPE ratio sits at approximately 40. In 155 years of data, this level has been exceeded exactly once: January 2000, when it briefly touched 44. The S&P subsequently fell 49%. The Nasdaq fell 78%. It took fifteen years to recover.

The Buffett Indicator (total market capitalization relative to GDP) has reached 218%. At the dot-com peak it was approximately 150%. Before 2008 it was approximately 110%. At current levels, the S&P 500 is projected to return negative 0.2% annualized over the next eight years.

The S&P 500 price-to-sales ratio is 3.4x, above its dot-com peak of 2.87x. On this metric, the market has literally never been more expensive.

But here is the number that should stop you cold. The S&P 500’s earnings yield has fallen to approximately 3.4%. The 10-year Treasury yields 4.1%. The equity risk premium is negative. You are being compensated less for owning the entire American stock market than for lending money to the US government at a fixed rate for a decade.

Bloomberg’s composite valuation metric, averaging trailing P/E, forward P/E, CAPE, price-to-book, price-to-sales, EV/EBITDA, Q ratio, and market cap to GDP, has never been this high in over 100 years of data. Not in 1929. Not in 2000. Not ever.

Every single time valuations reached even half of current extremes, catastrophe followed. CAPE at 44 in 2000: S&P fell 49%. CAPE at 33 in 1929: fell 89%, took 25 years to recover. CAPE at 27 in 2007: fell 57%. Even the modest CAPE of approximately 18 before Black Monday 1987 preceded a 22.6% single-day Dow collapse.

We’re above all of them.

II. The Index Is a Lie

Goldman Sachs research shows the top 10 stocks now represent approximately 41% of the S&P 500’s weight, matching Great Depression levels. At the dot-com peak, the top 10 were 26%.

Those top 10 stocks command 41% of the index weight but contribute only 32% of its earnings. Their average forward P/E is around 30x. They’re carrying the index because passive flows don’t care about price.

Through late February, the Magnificent 7 are collectively down 6.3% YTD. Microsoft is down 17%. Amazon down nearly 14%. Yet eight of eleven S&P 500 sectors reached new all-time highs. More than 60% of S&P 500 constituents are beating the cap-weighted index. The market is flat while the majority of stocks are rallying, because the biggest names are bleeding. The market’s largest constituents are already in a stealth bear market while the index tells you everything is fine.

III. The Volatility Trap: Portfolio Insurance 2.0

The CBOE S&P 500 Constituent Volatility Index (VIXEQ) closed at 43.13 on February 23. The VIX was at roughly 20.6. The spread: approximately 22 to 24 points, ranking in the 99th percentile historically.

Individual stocks are experiencing violent moves. The index appears calm. When constituent-level volatility is high but inter-stock correlations are low, the diversification benefit mathematically suppresses index-level volatility. But when a macro catalyst hits, correlations spike to 1 simultaneously. The diversification benefit vanishes. And constituent-level volatility that was always there explodes through the index in a single move.

This is exactly what happened on Black Monday, October 19, 1987. The crash, a 20.4% single-day S&P 500 wipeout (22.6% on the Dow), was amplified by portfolio insurance, a hedging strategy where dealers’ algorithms automatically sold S&P 500 futures as stocks fell. Selling begat selling, and a correction became an avalanche.

Today’s version is zero-day-to-expiration (0DTE) options, now accounting for over 60% of all S&P 500 options volume. When investors buy 0DTE puts, dealers must hedge by shorting the underlying. In a falling market, this creates the identical pro-cyclical feedback loop. J.P. Morgan has warned that this dynamic could intensify an intraday 5% decline into a 25% plunge.

Monday’s action proved the mechanism works in both directions. The VIX spiked 18% intraday to 23.59 as dealers scrambled to hedge the overnight gap, then collapsed as the buy-the-dip crowd overwhelmed the selling pressure. Tuesday’s 2% futures drop is now testing the system again, this time with dealers already extended from Monday’s whipsaw. Each successive shock degrades the cushion.

The weekend decoupling risk that was theoretical is now empirical. 0DTE options expired Friday. The strikes began Saturday. There was no daily hedge in place. Dealers arrived Monday morning into a gap no existing position could cover, and had to sell into an already-falling market to rebalance. The gap was absorbed only because participants still operated on the assumption that this was a temporary disruption. If Tuesday’s escalation (embassy strikes, Trump projecting 4 to 5 weeks of operations, or “as long as it takes”) changes that belief, the next gap won’t be bought.

IV. The AI Bubble Is Eating Its Own Tail

The AI infrastructure buildout isn’t a capital investment cycle. It’s a circular financing scheme.

NVIDIA’s FY2025 10-K flagged outstanding inventory purchase and supply obligations at $30.8 billion. One year later, in the FY2026 10-K: $95.2 billion. Obligations roughly tripled while revenue grew 65%.

Supply commitments growing at 3x the rate of revenue means suppliers are less confident in the demand trajectory, not more. Michael Burry drew the parallel immediately: Cisco Systems in 2000. Cisco stock fell 89% and only briefly reclaimed its 2000 high in late 2025 before pulling back again.

But NVIDIA isn’t just a vendor with overextended supply chains. It’s financing its own customers. NVIDIA committed $6.3 billion to buy CoreWeave’s unsold compute capacity, invested $2 billion directly in CoreWeave, and guaranteed an $860 million lease. The vendor is bankrolling the buyer to purchase the vendor’s own product. Banks are distributing what amounts to AI-linked debt paper to private credit funds, pension funds, and insurance companies, the same way they distributed mortgage-backed securities before 2008.

CoreWeave just proved the fragility. Q4: GAAP loss of $0.89/share, missing by $0.40. Stock cratered 20%. Debt-to-equity: 894%. Negative levered free cash flow of $5.27 billion. Its loans are collateralized by GPUs with a 3 to 4 year useful life and no secondary market.

Oracle, which announced a $300 billion AI partnership with OpenAI, has fallen 60.5% from its September 2025 high. Negative free cash flow exceeding $10 billion. A securities fraud class action was filed February 3. CDS spreads have blown to 125 basis points, levels not seen since 2009.

In 2025, Amazon, Alphabet, Meta, Microsoft, and Oracle collectively issued $121 billion in bonds. Morgan Stanley estimates hyperscalers will borrow approximately $400 billion in 2026. Alphabet issued a 100-year century bond in February. The Magnificent 7 are no longer cash cows. They’re capital consumers, with combined capex forecast at $600 to $650 billion in 2026, roughly 2.2% of US GDP funneled into a single technology thesis.

V. Where Are We on the Timeline?

Every major crash follows a recognizable script. Overvaluation. Concentration. New instruments that suppress volatility. A narrative that “this time is different.” Then a catalyst.

Dot-com (1998 to 2000): The Nasdaq doubled in 18 months. Companies with no revenue commanded billion-dollar valuations. Cisco and Sun Microsystems were the “magnificent” names. Concentration surged. The median stock was already declining before the peak. Trigger: the Fed raised to 6.5% and internet companies couldn’t monetize. Nasdaq fell 78%.

2008 (2005 to 2008): Mortgage-backed securities, packaged by banks and distributed as “safe,” concealed enormous risk. Everyone got paid fees along the chain. Spreads were historically tight. Trigger: housing prices stopped rising, and instruments designed to “distribute” risk had concentrated it in ways nobody mapped. S&P fell 57%.

Black Monday 1987: The Dow tripled in five years. Rates rising, trade deficits ballooning. Portfolio insurance promised to protect against downside, instead amplified it. The Dow fell 22.6% in a single session.

Now: The S&P has approximately doubled since January 2020. AI valuations require decades of flawless execution. The rise of short-term and 0DTE options have created a feedback loop structurally identical to portfolio insurance. Mega-cap concentration exceeds the dot-com peak by 58%. Banks are distributing AI debt to yield-hungry investors while retaining little exposure. The equity risk premium is negative. The median stock is diverging from the index exactly as it did in late 1999. And a geopolitical catalyst of historic magnitude has just detonated.

We are somewhere between March 2000 and the week before Black Monday.

VI. Iran Is Not Iraq: The GCC Contagion Nobody Modeled

Every conflict in the Invesco dataset (Pearl Harbor, Korea, Desert Storm, 9/11, Iraq) shows the same pattern: markets dipped, then recovered. Carson Group’s Ryan Detrick noted Monday that across 40 major geopolitical events, the S&P lost just 0.9% in the first month but gained 3.4% over six months. Wells Fargo pointed out the S&P rose 16% and 14% after the first and second Gulf Wars.

The market’s instinct is to buy the dip. Wait.

There is exactly one negative post-conflict one-year return in the entire modern dataset: 9/11, negative 13.75%. It happened because the conflict struck a market that was already structurally vulnerable, with valuations elevated and a tech bubble deflating. Today’s valuations are higher than 2001 on every metric.

The Decapitation and What It Unleashed

On Saturday February 28, “Operation Epic Fury” killed Ayatollah Ali Khamenei, Iran’s Supreme Leader since 1989, alongside his daughter, son-in-law, and grandchildren. Reports indicate he had been battling prostate cancer and chose to remain in Tehran rather than flee to Moscow. Iranian state media initially denied his death, then confirmed it and reframed it: he chose to die for his people. In the same operation, 150 schoolgirls were reportedly killed in a southern Tehran school hit by a stray strike.

From the Western perspective: a successful decapitation. From the Iranian perspective: a martyrdom. In Shia Islam, the death of a leader in battle doesn’t weaken the movement. It galvanizes it. The entire theological architecture of Shia faith is built around sacrifice against overwhelming power. Khamenei’s death in an American airstrike, alongside his family, has created a religious obligation for every Shia Muslim on Earth: jihad against the great Satan.

This is not a war of territory. For Iran, this is now an existential religious conflict with no off-ramp short of total victory or total destruction. And Iran’s command structure, following the decapitation, is decentralized. Each regional command operates autonomously. Destroying Tehran does not disable the network. The American doctrine of “shock and awe,” cutting off the head so the body falls, does not work against an adversary whose military architecture was specifically designed to survive it.

36 Hours That Changed Everything

The IRGC launched the largest coordinated missile and drone barrage in Middle East history. The numbers through March 2:

UAE: 165 ballistic missiles, 541 drones. Three killed, 58 wounded. Dubai International Airport damaged and shut. Zayed International Airport hit. Jebel Ali Port caught fire. Strikes hit Dubai Marina and Palm Jumeirah, setting the Fairmont The Palm ablaze, damaging the Burj Al Arab. Al Dhafra Air Base targeted. The UAE recalled its ambassador to Israel. Both UAE stock exchanges were ordered closed March 2 and 3 by the Capital Market Authority.

Qatar: 65 missiles, 12 drones. 16 wounded. Al Udeid Air Base targeted. LNG facilities struck, halting all production at Ras Laffan, the world’s largest LNG export hub (77 million tonnes annual capacity). QatarEnergy preparing force majeure on shipments. Qatar Exchange plunged 4.29% Monday to an 8-month low.

Kuwait: 97 missiles, 283 drones. 32 wounded, one killed. Ali Al Salem Air Base struck. Kuwait International Airport hit. Shuaiba port attack produced the first US combat casualties.

Bahrain: 45 missiles, 9 drones. US Fifth Fleet headquarters hit directly. Bahrain’s 50%+ Shia population under Sunni monarchy creates acute internal unrest risk.

Saudi Arabia: Strikes hit Riyadh and eastern region. Ras Tanura refinery shut down after drone attack. Saudi Tadawul fell 2.67% Sunday, recovered to flat Monday on Aramco strength, then slipped again Tuesday.

Additional: Oil tankers hit off Oman. Britain’s Akrotiri base in Cyprus struck. Islamic Resistance Iraq claimed 23+ drone strikes on US assets.

Six US service members killed. Over 20,000 travelers stranded. Emirates suspended all operations indefinitely. Middle East airspace nearly empty for days. Explosions echoed through Doha, Manama, and Dubai for a fourth consecutive day on Tuesday. The IRGC stated operations will continue “until the enemy is decisively defeated.” Two drones struck the US Embassy in Riyadh on Tuesday, a dramatic escalation. Trump projected the campaign lasting 4 to 5 weeks.

Why the GCC Is the Lynchpin

The GCC nations are not just oil producers. They are the recycling mechanism of the American financial system. They sell oil for dollars, then invest those petrodollars in US Treasuries, equities, real estate, and AI infrastructure. GCC sovereign wealth funds (Abu Dhabi Investment Authority, Mubadala, Saudi Arabia’s Public Investment Fund, Qatar Investment Authority, Kuwait Investment Authority) collectively manage trillions with heavy US allocations. Investment flows from the UAE, Saudi Arabia, and Kuwait into US financial markets have exploded since 2012. The UAE was positioning itself as a major AI data center hub with cheap, abundant energy. An Amazon data center in the UAE was literally hit in the strikes.

If the GCC can’t sell oil (Strait of Hormuz closed), they can’t generate the dollars they recycle into American markets. If they’re spending reserves on defense, those reserves aren’t flowing into the S&P 500 nor investing into hyper-scaler data-center glut. If sovereign wealth funds need to liquidate US positions to fund war costs and reconstruction, they become sellers of the assets propping up the index. This is the transmission mechanism nobody on Wall Street is modeling: the Iran conflict doesn’t just raise oil prices. It cuts off one of the largest and most consistent sources of foreign capital flowing into US equities and AI investments.

And the GCC’s existence depends on three things the conflict threatens simultaneously: oil exports, food imports (80% of food arrives by sea through the Strait), and desalinated water (60% of GCC water supply). Dubai’s water stress ratio is 17,000%, meaning it uses 170 times more water than its environment naturally produces. Bahrain: 3,945%. Saudi Arabia: 883%. A single $50,000 Shahed drone can destroy a desalination plant. If a strike wiped out the primary facility serving Riyadh (10 million people), the city would run out of water in approximately two weeks. Ninety percent of Dubai’s population are foreign expatriates. Wealthy residents were reportedly offering $250,000 for a seat on any departing aircraft.

As CSIS warned: “Regime elements in Iran could decide that if the regime is on the verge of collapse, it will take the region down with it. A decision to more permanently block the Strait would be suicidal for Iran but impose enormous costs on the region’s energy producers.”

The GCC’s nightmare scenario, the one they spent decades of defense spending trying to prevent, has now materialized in a mere 36 hours.

The Asymmetric Math

Iran produces approximately 400 Shahed drones per day at $35,000 to $50,000 each. Estimated stockpile at conflict start: approximately 80,000. The US defends with THAAD interceptors ($12 million each), Patriot missiles ($3 to $4 million), and SM-3 missiles ($10+ million). The June 2025 strikes consumed approximately 14% of the US THAAD stockpile and an estimated 20% of SM-3 missiles. Two US military officials told the New York Times the current force can maintain the current level operations for only 7 to 10 days. We are now on Day 3. The IRGC has launched over 700 missiles and 1,000+ drones in 72 hours.

Every interceptor fired at a Shahed drone over Dubai is one that cannot be fired at a Chinese missile over the Taiwan Strait. CSIS war games concluded the US would run out of long-range precision munitions in less than one week in a Taiwan conflict. Brookings warned in February that US strikes on Iran “could create the perception, and possibly the reality, that the United States is preoccupied with the Middle East and less than ready to respond to a crisis in the Indo-Pacific.” TSMC manufactures approximately 90% of the world’s most advanced semiconductors. Bloomberg Economics estimates a US-China war over Taiwan would cost $10.6 trillion in year one.

The historical parallel is damning. After 9/11, the United States spent two decades consumed by Middle Eastern conflicts. During that exact period, China experienced its fastest economic growth and most dramatic rise in global influence, largely unopposed. A prolonged Iran engagement offers Beijing the same strategic window. China doesn’t need to invade Taiwan tomorrow. It needs the United States to be too depleted, too distracted, and too overextended to credibly deter the possibility.

VII. The Oil Shock and the Birth of a Commodity Supercycle

The Strait of Hormuz is operationally closed. The IRGC transmitted VHF warnings that “no ship is allowed to pass.” Tanker traffic has dropped 70 to 80%. At least 5 tankers have been damaged, 2 crew killed. Over 200 ships are stranded, including approximately 40 VLCCs. Every major shipping line, Maersk, MSC, Hapag-Lloyd, CMA CGM, has suspended transits. Marine war risk insurance has been cancelled by major underwriters. The IRGC is deploying electronic warfare (GPS disruption) in the strait.

Monday’s oil reaction was large but, as CIBC’s Rebecca Babin noted, “extremely measured” relative to the disruption. WTI settled at $71.23 (+6.28%) after touching $74.99 intraday. Brent settled at $77.74 (+6.68%), briefly spiking 13% to $82.37. By Tuesday, crude was trading in the $72 to $77 range. US gasoline averaged $2.99/gallon, up just 5 cents.

The restraint reflects a market still pricing for a short disruption. Barclays warns Brent could reach $100 if security spirals. UBS and JPMorgan model a sustained disruption above $120. If the Strait remains closed beyond three weeks, JPMorgan warns Gulf countries’ oil storage will be exhausted, forcing production shutdowns and repricing toward $150+. The White House is reviewing Strategic Petroleum Reserve options but has no plans to release from the SPR’s roughly 395 million barrels.

Japan depends on 75% of its oil from the Gulf. Prime Minister Takiichi said if the Strait closes, Japan runs out of oil in 8 to 9 months and the economy collapses. India depends on 60%. China on 40%. South Korea on 65%. This is not a regional crisis. This is a global energy emergency that will transmit through every economy on Earth simultaneously.

Natural gas has been even more violent. European TTF surged 45 to 54% Monday to approximately €47.65/MWh, then exploded another 40%+ Tuesday to €62.76/MWh, the highest since January 2023. Asian spot LNG spiked 131% from $10.80 to $25.00/MMBtu after the QatarEnergy production halt. Goldman Sachs projects TTF could reach €74/MWh, 130% above pre-crisis levels, if the Strait stays closed for one month.

This is not a temporary disruption. This is the opening salvo of a commodity supercycle.

The structural case was already overwhelming before a single bomb fell. Global mining exploration capex sits at approximately $11.2 billion, down 60% from the 2012 peak of $29.4 billion. New mine projects take 7 to 15 years to develop. You cannot flip a switch and produce copper, uranium, gold, or silver. The supply response to today’s prices won’t arrive until the 2030s.

Meanwhile, demand is compounding from multiple directions simultaneously. Copper demand is projected to grow 53% to 39 million MT by 2040. AI data centers use 10x as much copper as traditional facilities. EV sales are expected to triple to 45 million annually by 2030. Military rearmament across NATO, Japan, South Korea, and Australia is accelerating. And now the largest energy supply disruption since the 1970s is layered on top.

The metals tell the story. Gold hit $5,419 on Monday, within striking distance of its January all-time high of $5,589. Central banks purchased over 3,220 tonnes from 2022 to 2024, more than double the prior three-year total. Gold now accounts for a larger share of central bank reserves than US Treasuries for the first time since the mid-1990s. Goldman Sachs targets $5,400 year-end, JPMorgan targets $6,300, and both were set before the Iran escalation.

Silver spiked to $96.40 Monday before crashing 7% intraday as industrial demand fears offset safe-haven buying. The gold-to-silver ratio compressed to 57:1. Bank of America forecasts silver reaching $135 to $309/oz based on ratio compression analysis. The Silver Institute reports a fifth consecutive year of structural deficit in 2025 (approximately 95 million ounces), with cumulative shortfalls since 2021 exceeding 820 million ounces, equal to an entire year of global mining output. London silver lease rates had already spiked to 39% before the conflict, with Shanghai silver trading at a 16% premium over Western spot, indicating severe physical market stress.

Copper hit an all-time high of $13,387/mt in January, a level Goldman called a “breakout” that it then said wouldn’t last. But Goldman’s thesis assumed no major supply disruption. War in the Gulf, combined with years of mining underinvestment, changes the calculus entirely.

Wells Fargo’s John LaForge has argued the commodity bull supercycle began in March 2020, noting commodities trade at nearly 50-year lows relative to the S&P 500. Bank of America forecasts uranium at $105/lb (+43% YoY), a 60% crude oil rally as a contrarian trade, and calls energy the leading sector for 2026. JPMorgan Asset Management published a detailed paper arguing the clean technology transition is “igniting a new supercycle.”

And in the middle of all this, the infrastructure of commodity price discovery itself is breaking. On January 30, as silver surged past $121 per ounce, the CME simultaneously hiked margin requirements 36%, triggering a 30%+ crash in hours, the worst single-day decline since the Hunt Brothers’ liquidation in 1980. On February 25, CME halted all metals and natural gas futures trading for 90 minutes, citing “technical issues,” precisely 48 hours before March First Notice Day, when physical delivery demands would be filed. The precious metals paper market is over 200 times larger than the physical market. Banks profit by selling the same piece of metal multiple times through paper contracts. When buyers start demanding physical delivery instead of cash settlement, the entire structure shakes. That process is accelerating, driven by Chinese and Indian demand draining the vaults of the COMEX and the LBMA.

The dollar’s structural decline accelerates the trend. Its share of global FX reserves has dropped below 57% from 70%+ at the turn of the century. China has reduced Treasury holdings to approximately $700 billion from a peak above $1.3 trillion. Every dollar of dedollarization flows into hard assets: gold, silver, copper, oil. The Iran crisis doesn’t just spike energy prices. It validates the commodity thesis across the entire complex: metals for monetary hedging, energy for supply disruption, and industrial metals for the rearmament and energy transition spending that the crisis is now accelerating.

The dollar is trapped. The Trump administration has openly pursued a weak dollar policy. But an oil crisis can trigger the opposite: a flight-to-safety dollar surge that crushes emerging markets carrying $13 trillion in offshore dollar debt, hammers S&P 500 foreign earnings (40% of total), and creates a negative feedback loop between EM stress and US corporate fundamentals. Unless the dollar doesn’t rally. In April 2025, the dollar fell alongside equities while Treasury yields rose. The US was perceived not as a refuge but as a source of risk. If that dynamic repeats, it represents a fundamental break in the dollar’s safe-haven status and an acceleration of dedollarization into hard assets.

Welcome to Weimerica. Not Weimar Republic hyperinflation. At least not yet. But the structural dynamics are rhyming. Monetized government deficits exceeding $1 trillion per quarter. A central bank that cannot raise rates without detonating the economy and cannot cut without reigniting inflation. Political leadership explicitly tying market performance to its legitimacy. And a global monetary system in which the reserve currency’s share of trade settlement is declining for the first time in modern history, while the metals that served as money for millennia are being hoarded by the very institutions that are supposed to be stewards of fiat.

VIII. The Fed Trap and the Credit Cracks

The Fed sits at 3.50 to 3.75% with core PCE at 3% and GDP growth of just 1.4%. Monday’s ISM Manufacturing price index jumped to 70.5, reigniting inflation fears. The CME FedWatch tool showed less than 5% probability of a March cut.

An oil shock reignites inflation, making cuts impossible. But an economy entering recession with $150+ oil demands easing. This is the stagflationary trap of the 1970s. The last time it happened, the S&P fell 51.9% and Volcker raised rates to an eye-watering 21%.

On January 6, Trump posted his vision for monetary policy:

“I want my new Fed Chairman to lower Interest Rates if the Market is doing well... Inflation will take care of itself... Anybody that disagrees with me will never be the Fed Chairman!”

The Fed chair’s term expires in May. The job requirement is obedience, not independence.

Credit markets are already cracking beneath the surface. On February 27, every component of the KBW Bank Index closed red. Goldman Sachs: -7.4%. Morgan Stanley: -7.1%. Apollo: -8.9%. FS KKR Capital slashed its dividend 31% with non-accrual loans rising to 3.4%. Blue Owl Capital’s stock is down 60%+ after gating a $1.6 billion fund. Boaz Weinstein of Saba Capital: “I think we are in the super-early innings of the wheels coming off the car.”

Index-level credit spreads remain tight: investment grade at approximately 96 basis points, high yield at approximately 300 basis points. But the dispersion within credit mirrors equities. BB-rated spreads are tight. CCC-and-below are widening toward 20-year averages. Oracle’s CDS is at crisis-era levels. Private equity firms globally are sitting on approximately $4 trillion in unsold assets. The index shows nothing because the toxic paper is in the shadows. This is 2007 all over again.

Meanwhile, Microsoft Japan was raided by the Fair Trade Commission on February 25 over suspected antitrust violations related to Azure cloud bundling, part of a coordinated global regulatory assault spanning Japan, Brazil, the UK, and the EU. Regulatory tightening accelerates during periods of political populism and economic stress, adding another headwind to the mega-cap tech names holding the entire index together.

IX. The Political Powder Keg

The administration has fused its credibility to the stock market. Consider the timeline.

October 10, 2025: “Tariffs are having a huge positive impact on the Stock Market... If a Radical Left Court ruled against us... It would be 1929 all over again, a GREAT DEPRESSION!”

February 8, 2026: “I am predicting 100,000 on the DOW by the end of my Term.”

February 20, 2026: The Supreme Court strikes down the IEEPA tariff authority. Trump calls justices “FOOLS and LAPDOGS,” signs a 10% global tariff under Section 122 with a 150-day clock.

February 11, 2026: AG Pam Bondi, questioned about the Epstein investigation, deflected to the stock market. She cited the Dow at 50,000 and the benefits to retirement accounts. She was asked about one of the most consequential criminal investigations in modern history, and her answer was: look at your 401(k).

This creates an impossible paradox: the incentive to intervene and support markets is enormous, but the tools (rate cuts, stimulus, jawboning) are constrained by inflation above target, fiscal deficits exceeding $1 trillion per quarter, a Fed with limited ammunition, and a Supreme Court that just invalidated the primary trade tool.

Recall what happened the last time markets cracked. In April 2025, Trump’s “Liberation Day” tariffs caused the S&P to crash 10% in two days. Six trillion dollars evaporated. The President’s response, posted at 9:37 AM while the market was in freefall:

“THIS IS A GREAT TIME TO BUY!!! DJT”

When political leaders use market levels as proof of competence, the market becomes a political liability. And political liabilities, in periods of stress, get abandoned.

On April 30, 2025, when the market was falling, Trump posted:

“This is Biden’s Stock Market, not Trump’s... when the boom begins, it will be like no other. BE PATIENT!!!”

When it’s up, it’s his. When it’s down, it’s Biden’s. When it crashes, it’ll be the Supreme Court’s, or the Fed’s, or Iran’s. The one thing it will never be is a reflection of the structural risks that were building in plain sight while the political establishment pointed at the scoreboard and called it proof of genius.

The Index Is Starting to Learn

Gold knew. It was at $5,278 before the first bomb fell. By Monday it was at $5,419.

Credit knew. Blue Owl was gating. KKR’s fund slashed its dividend. Private credit defaults were doubling.

The shipping market knew. VLCC rates quadrupled this year. Frontline stopped transiting Hormuz weeks ago.

The dispersion between constituent and index volatility knew. It hit the 99th percentile historically.

The commodity complex knows. Oil is repricing. European gas has exploded 50% in two days. Silver lease rates were screaming physical shortage before a single missile launched. Copper hit $13,387. Uranium is accelerating. Central banks are hoarding gold at rates not seen in decades. The entire hard asset universe is telling you the same thing: the era of cheap commodities underwritten by stable supply chains, recycled petrodollars, and American military hegemony is ending.

The GCC knows now. Dubai International Airport is damaged and closed. The US Embassy in Riyadh has been hit by drones. 200 ships are stranded. QatarEnergy has halted LNG production. The sovereign wealth funds that recycled petrodollars into American equities and AI data centers are spending those reserves on missile defense and emergency infrastructure.

And the S&P 500 is starting to learn. Monday’s buy-the-dip rally held for exactly one session. Tuesday’s 2% futures plunge, with the Kospi crashing 7% and the Nikkei down 3%, is closer to the truth. But even Tuesday’s reaction assumes this ends quickly. The correlation chain says otherwise.

The Strait of Hormuz is closed. Oil is repricing. Higher oil reignites inflation. Inflation traps the Fed. A trapped Fed pressures credit. Tighter credit slows lending. Slower lending undermines the economy. A weaker economy collapses AI revenue assumptions, especially as GCC nations that were financing AI data centers are now under bombardment. Failed AI assumptions puncture the tech bubble. A tech bust collapses the names holding up the index. Collapsing leadership triggers the dispersion unwind, as constituent-level volatility floods into the index. Index-level volatility activates the 0DTE feedback loop. And a correction becomes a crash. Meanwhile, every munition spent in the Middle East widens the deterrence gap across the Pacific, making the semiconductor supply chain vulnerable in a way it has never been before.

The 1973 Yom Kippur War hit a market with a CAPE of approximately 20 and a Buffett Indicator under 80%. The combination of energy shock, monetary policy error, and fiscal profligacy produced a decade of negative real returns. The S&P fell 51.9%. Today’s CAPE is 40. The Buffett Indicator is 218%. Concentration matches the Great Depression. And the geopolitical catalyst in 1973 was an oil embargo by allied states choosing not to sell. Today it’s a direct military confrontation with a nation that has physically closed the chokepoint, is actively destroying the oil infrastructure on the other side, and has launched a sustained military campaign against every US installation in the region.

History doesn’t repeat, but the rhyme is deafening. The dot-com bubble had Cisco and Sun Microsystems. We have NVIDIA and CoreWeave. The 2008 crisis had mortgage-backed securities distributed to yield-hungry investors by banks taking fees. We have AI-linked debt distributed to private credit funds by banks taking fees. Black Monday had portfolio insurance. We have 0DTE options. The 1973 crash had an oil shock during a foreign war at extreme valuations. We have all of the above, simultaneously, at higher valuations than any of them.

The spring was wound. The hammer has fallen. And the market is only beginning to hear the sound.

Behind all of it: a political establishment that told the American public, repeatedly and in writing, that the stock market is the scoreboard. The Dow at 100,000 by end of term. The stock market as answer to Epstein questions. The market level as proof of tariff success. What happens when the scoreboard breaks?

Each risk, in isolation, was manageable. Together, they form the most dangerous confluence of market, monetary, geopolitical, and commodity stress since 1973, or maybe even 1929. And unlike 1973, the catalyst isn’t an embargo by allied states choosing not to sell oil. It’s a war. With a closed Strait. Burning airports. A dead Supreme Leader whose martyrdom has galvanized a religious movement. And a commodity supercycle igniting beneath an equity market priced for a world that no longer exists.

Position accordingly.

Sources: SEC filings (NVIDIA 10-K FY2025/FY2026, Oracle 10-K, CoreWeave S-1), Bloomberg, CurrentMarketValuations.com, Goldman Sachs Global Investment Research, S&P Global, CBOE, JPMorgan, Morgan Stanley, Bank of America, Wells Fargo, UBS, Barclays, CNBC, CNN, NPR, Reuters, Al Jazeera, The National, ZAWYA, Khaleej Times, RTE, Investing.com, gCaptain, Euronews, World Oil, CSIS, Brookings Institution, AEI, Silver Institute, World Gold Council, CME Group, Advisor Perspectives, Hartford Funds, Invesco, FDD Long War Journal, Breaking Defense, the New York Times, Wall Street Journal, Truth Social, Wikipedia (2026 Iran conflict).

At the individual level, you're always playing the same game: money comes in, money goes out. Think about it like this: there is debt and equity, as an individual you collect income and you spend it either on equities (savings, investments, or goods), or debt (personal, like a credit card, or investment, like a mortgage). So, then what can you do? Limit your taxes (increase equity in), maximize your savings (grow your held equity/debt), and reduce your debt (pay down dues). This will speak on some topics and acronyms that will pique any readers’ interest, please refer to the headings.

The Rule of 72

This is the eye-catching part of long-term investment, simple to apply yet hard to fully understand, a powerful quiet tool fueling millionaires left and right. While being a slightly ugly formula, it is actually very simple in nature, assuming you can model your average percentage return (r).

The rule works like this: divide 72 by your average annual return, and you get the approximate number of years it takes for your money to double. Let’s say your entire portfolio was S&P500 (Standard and Poor’s), something that earns 6-7% year-over-year accounting for inflation. You’re outpacing inflation and assuming the low average 72 / 6 = 12. This means that on the lower side of the average, your money will double in twelve years. Now compound growth is fundamentally hard for the brain to understand but think hard about that, here is an example.

For some Americans, a savings account around $250,000 is very possible by their mid-thirties. Meet Fred. Fred is a 37-year-old software developer, through savvy investing and constant saving, Fred has amassed a brokerage account with $250k in it. He only owns exposure to the S&P500 in this account, he has no intention of selling, and he earns 7% per year on average. Fred will be a millionaire when he is at full retirement age (67), with no additional investment or effort and accounting for inflation. When Fred was 42, Fred meets Velma. Velma is the heir and only daughter of a senior executive, married a year later and Fred has no reason to sell even in retirement. If Fred can stay healthy until 97, he will likely have four million dollars to pass to his descendants.

Now while sixty-nine is more accurate, seventy-two accounts for an investor not holding their positions through market turbulence, regardless of common rationality. Fred is unlike most investors so this math doesn’t exactly account for him. Before breaking down some different math quantifying investor rationality, let’s mention that in Fred’s case there is a good possibility he could have had eight million dollars to pass to his descendants.

Prospect Theory

Prospect theory, a cornerstone of behavioral economics, explains why people react far more strongly to losses than to equivalent gains. It's also exactly why the difference between 72 and 69 matters: rational investors hold. Irrational ones don't.

When you plot prospect theory on a graph, the result is striking. Value drops sharply on the loss side, far faster than it climbs on the gain side. Losing $500 doesn't just feel like the inverse of gaining $500. It feels significantly worse— and that asymmetry drives a lot of poor financial decisions.

Enter Shanice and Trevor. Shanice and Trevor both hold brokerage accounts with their financial advisors. Trevor looks towards aggressive yet risky growth, while Shanice wants low risk at the cost of slow growth. They both contribute a million dollars, and they wait.

Two years later, Trevor saw huge growth; his account is now worth two million dollars. On the contrary, Shanice saw a steady yet wonderful increase to a million and a half dollars. Then the market corrects; but their advisor has kept both accounts under control. Trevor now has a million and a half, along with Shanice (her low-risk account avoided the market effect), yet something odd remains. Shanice is quite happy, her low-risk account worked! On the contrary, Trevor is peeved he saw 500 grand disappear! They both have had the same results, but the emotional discrepancy is clear. The actual value is the same but following prospect theory, the perceived value is wildly different.

The takeaway is straightforward: be a rational investor. Hold your indexed positions. Trust the process. The math has proven it works, time and time again. You just have to give it time.

• Typed Loudly, By Jack Young
  

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https://web.mit.edu/curhan/www/docs/Articles/15341_Readings/Behavioral_Decision_Theory/Kahneman_Tversky_1979_Prospect_theory.pdf – Great breakdown of the full equation

https://www.drs.wa.gov/episode-67-why-the-rule-of-72-feels-like-magic-but-isnt/ - Makes compound growth easier to understand

https://en.wikipedia.org/wiki/Rule_of_72 – Not very comprehensive, but provided the math

At the top of every chart, a few details are listed:

• The asset name

• Ticker symbol (the shorthand code that identifies that specific asset)

• Exchange, such as the NASDAQ or CME Group, where the asset is listed, data is sourced, and orders are processed

• The timeframe the chart is observing

• The market status, including if it is open, closed, or halted, and whether the is up to date

• The current trading price, the change since the start of the day, and the percent change of the trading day

• The open, close, high, and low of a selected range, typically the most current candle, are also usually displayed here.

Axis Of Time And Price

At their core, traditional linear charts are simple. The X axis shows time, while the Y axis shows price. Price changes are depicted through different units depending on what you are trading.

Stocks are straightforward: dollars and cents.

Futures are quoted in points, where each point represents a fixed dollar value. One point on the E-Mini S&P 500, for example, equals $50. Some futures contracts get a little quirky and quote in fractions rather than decimals. Treasury bond futures, for instance, are priced in 32nds of a point, so a price of 101’16 means 101 and 16/32nds. Grain futures like corn and wheat work similarly, quoted in cents and fractions of a cent per bushel. It looks odd at first, but once you know the convention for your specific contract, it becomes second nature.

Options are quoted as a price per share, but each standard contract represents 100 shares of the underlying asset. So when you see an option priced at $2.50, the actual cost of that contract is $250– that’s the notional value. The number on your screen is always per share, and the 100x multiplier is always implied. Options have a minimum price increment of $0.01, meaning contracts move in penny steps, each penny representing $1 in notional value per contract. A move from $2.50 to $2.51 is a $1 change in what you’re actually paying.

Digital assets are the most straightforward of the group. Crypto is quoted directly in dollars (or your local currency), often down to several decimal places since assets like Bitcoin can be divided into tiny fractions. What makes crypto charts unique is that they trade 24/7, so there’s no official session open or close the way there is with equities or futures. The chart never sleeps, and neither does the price action.

Time zones matter more than most beginners realize. If you’re trading US markets, set your chart to UTC-5, Eastern Standard Time. That keeps you aligned with the New York Stock Exchange and prevents any confusion when news drops or trading hours shift. Being in this time zone allows you to minimize confusion when observing news or modified trading hours.

Multi-Timeframe Market Understanding

Charts can be viewed across different time frames. Time frames from a day-trading perspective can range from one minute to a day. When trading, it is important to consider your specific time horizons and observe charts that fit your needs. The value of differing time frames is the ability to change the resolution of the data that you are viewing. While the one-hour and five-minute charts show the same data, the five-minute chart shows a more zoomed-in perspective, and thus higher resolution of price.

Think about different time frames as observing a bug through a magnifying glass. With your eyes alone, you see the whole bug, but as you look through the lens, you are able to count the tiny hairs on each leg. You are able to see the insect through each scope, but you cannot understand the full physicality of it without considering the view from each lens. Both views are accurate. Neither is complete on its own. The real edge comes from layering time frames together. A higher time frame gives you a broader market context. A lower time frame helps you time entries with more precision. Layering in such a manner builds a more complete picture than either can offer alone.

​Candlesticks - A Standard Of Price Interpretation

Candlesticks are the standard way price movement gets displayed on a chart. Each candle represents one unit of your selected linear time frame. On the hourly time frame, a single candle will show data that was presented across one hour. A five-minute candle has the respective amount of data.

Every candle has four data points: the open, close, high, and low. Green (bullish) candles open at the bottom of the body and close at the top. Red (bearish) candles are the reverse. The wicks, or vertical lines on each side of the body, present the overall range of the candle, being the high and low.

Here’s the honest truth about candle patterns: no single candle tells you where price is going next. Pattern recognition alone isn’t statistically reliable enough to trade off. That said, candles still carry useful information when read in context.

For example, observing candle size as a reaction to specific price levels can provide useful insight for your analysis. Basing is where price consolidates at a specific level, over different intervals, or for an extended period of time. These are depicted through a series of compressed candles, often with opens or closes on relevant price levels. This phenomenon can occur near established levels of support or resistance, indicating a potential shift in market balance. Additionally, large-bodied candles following a breakout of a zone of interest can indicate trend strength. In these cases, price expands rapidly over a short period of time, often driven by liquidity shifts or new information entering the market. Of course, these observations need to be paired with complementary data to create quantitatively actionable decisions, but are important to consider nonetheless.

Aside from the limitations of qualitative observation, there is a structural limitation of standard candlestick charts that deserves attention: Market activity is divided into the uniform intervals. Every candle gets the same amount of time regardless of what actually happened within it.

A five-minute candle can represent such a different scale of price, whether it is during a slow Tuesday afternoon or during a Federal Reserve announcement, but is one candle nonetheless. They are not equal. One might contain $2 billion in traded volume and a 40-point swing. The other might contain almost nothing. Linear time-based charting assumes that price action is evenly distributed throughout the day. It is not. Markets expand and contract, almost breathing. They have periods of frenzied activity and long stretches of near-silence. Forcing that uneven reality into uniform time buckets can distort your analysis in subtle but meaningful ways, compressing important moves into tiny candles and inflating insignificant ones. However, there are ways to combat this structural constraint.

Renko Charts: Ignoring Time Entirely

Here, alternative chart types become interesting. Renko charts throw the clock out completely. Instead of plotting price over fixed time intervals, Renko only draws a new block when price moves a defined amount, say, 10 points. If the market grinds sideways for two hours without moving 10 points, nothing gets drawn. The chart simply waits.

The result is a view of price action that’s stripped of noise. Slow, choppy, directionless movement is not even depicted on the chart, as there would be no new candles printed. Strong, decisive moves stand out clearly. What you lose is any sense of time. A single Renko block could represent five seconds or five hours. For some strategies, that tradeoff is worth it. For others, particularly those where timing and session context matter, it’s a meaningful blind spot.

A standard candlestick chart is a journal where you write one entry per hour no matter what. Renko is a journal where you only write when something actually happens. Both tell a version of the story. The question is which version is more useful for the decision you’re trying to make.

Choosing Your Lens

Neither approach is universally superior. Time-based charts anchor you to sessions, news events, and market structure in a way that Renko cannot. Renko cuts through the clutter in a way that time-based charts sometimes cannot. The traders who understand both, and know when to reach for each, are working with a more complete toolkit than those who’ve only ever seen one. There are, of course, other charting methods, Heikan-Ashi, range or volume bars. Each follows the same underlying principle of displaying time and price, and are not relevant for the purpose of understanding the fundamentals of charts.

Overall, price time-series charts have an initially overwhelming amount of information present, but understanding the features on screen is imperative in building skills as a trader. Day traders spend countless hours in these charts. It becomes your environment, your workspace, your thinking room. Curate it like one. Adjust the colors, the layout, the indicators until it feels like yours. Comfort breeds clarity, and clarity is what keeps you sharp when the market starts moving fast. Be comfortable with where you work.

- From the desk of Declan Otañez

Understanding Your Entries and Exits

First, you have your entry price. Here, it is important to know how many contracts you are in, as well as long or short. There are a few different ways to enter a trade.

Market orders are trades that you enter immediately, at the best available price. This is optimal when immediate execution is required, or the price is currently at an ideal entry point. However, if the price is moving quickly, the trade may be executed at a different price point than when you initially place the order.

Limit orders are a set price that must be hit for the order to be executed. These are used to get either a buy price at or lower than your level or a sell price at or higher than your level. These provide precise entries, but are not guaranteed to be filled, as the price may not reach that level nor may the order book have liquidity to sufficiently fill your trade at your preferred price. For example, if I wanted to buy AAPL at $250, I would set a buy limit at that level. This order would only be activated once the price dipped to that price point or below, and not if it stayed above.

Stop orders become market orders once a specific price has been filled. If the stop price is reached, the order is executed at the next available price. While these can work for entries, sell stop orders are a good way to protect your positions when you are already in a trade.

Defining Your Take Profit

Second, you have your take profit level (TP). This is the price point where you are exiting a favorable trade and are realizing a profit. For example, if I went long on ES futures at 6500 and had my TP at 6520, I would have had a successful 20-point trade. Once you set your TP, your trade will automatically close once it is hit, which means you don’t need to manually exit when the price reaches a desired level.

Setting your Stop Loss

Third, there is the stop loss (SL), which is a form of stop order. This is the level where you have decided that the trade is not going in your favor and need to exit. Stop losses prevent the price from moving too far from your entry price, bringing unchecked losses to your account. Controlled risk is an essential part of every trade, as markets operate under inherent uncertainty. There are many factors that go into deciding this level, and “this will be covered in greater detail in a subsequent section

Planning Your Trade Before You Enter

When setting up a trade, always plan your TP and SL before entering. There can be times the price will move very quickly, and an unprepared entry can result in immediate and significant losses.Knowing how to place an order is only half the equation: equally important is understanding where those levels should be set, which is governed by your risk-return ratio.

Sizing Your Trade with Risk-Return Ratio

It is important to consider your risk-return ratio, or R. Typically, an R of 2, or a 2:1 ratio, means you are risking 1 to make 2. If my risk per trade was $1000, I would be aiming to make $2000 in a winning situation. The higher your R is per trade, the lower the probability of success, but the higher your profits will be. The typical R a trader uses is dependent on their strategy, risk tolerance, and trading conditions. We can use adaptive risk-return to allocate greater capital to higher-probability setups, and to reduce position size on lower probability trades.

- From the desk of Declan Otañez

Works Cited

Schwab.com. “3 Order Types: Market, Limit, and Stop Orders.” Schwab Brokerage, www.schwab.com/learn/story/3-order-types-market-limit-and-stop-orders. Accessed 20 Feb. 2026.

S&P 500 Trading Mediums

When it comes to the S&P 500, it is important to know exactly what you are trading. There are several ways to access it, including options (SPX) and the ETF (SPY), but our focus here is on futures, specifically the E-mini S&P 500, or /ES. This is the most common vehicle for day trading the index, offering broad accessibility and tight liquidity. This is the most common way to day trade the index, and allows us the most relative ease. This can be traded through many different mediums; however, S&P futures are a product of the Chicago Mercantile Exchange (CME Group), so all price charts and data sourced directly from them, and all orders are filled on their exchange.

Price Movement

The S&P 500 price moves in points. S&P 500 E-Minis, or /ES, has 1 point at a value of $50. Within a point is 4 ticks, each worth $12.50. When you enter a trade of 1 contract on /ES, this is how much your profit or loss per each point and tick movement. However, when entering multiple contracts, that price movement is multiplied.

For traders with less capital or a lower risk tolerance, there is also the Micro E-mini S&P 500 (/MES), which is one-tenth the size of a standard mini. This allows people with less capital or risk tolerance to still trade without worrying about having too much money in at a given time. Micros, or /MES, have points worth $5 and ticks at $1.25, which is far more digestible for novice traders.

Index Qualifications

A dedicated index committee reviews candidates quarterly and makes final decisions based on both financial data and broader market representation. Companies that fall below these standards, get acquired, or are delisted from a major exchange are removed and replaced, keeping the index a current reflection of the most significant companies driving the U.S. economy. Even the most powerful companies in the world eventually fall. Kodak controlled over 80% of U.S. film sales and was one of the most recognized brands on the planet, yet filed for bankruptcy in 2012. Enron was ranked 6th on the Fortune Global 500 and was generating over $100 billion in reported revenue before collapsing overnight in fraud in 2001. Lehman Brothers, a 158-year-old institution and the fourth largest investment bank in the United States, held $639 billion in assets before becoming the largest bankruptcy filing in American history in 2008. Nokia was the largest mobile phone manufacturer in the world for nearly a decade, controlling over 30% of global market share at its peak, before smartphones made them irrelevant. Sears was the largest retailer in the United States for most of the 20th century before filing for bankruptcy in 2018. The index does not fail with them. It removes them, replaces them with the next generation of market leaders, and keeps moving. This self-correcting structure is what makes the S&P 500 uniquely resilient as both a long-term investment vehicle and a stable instrument for active traders.

Overall, the S&P 500 is an ideal asset to trade due to its liquidity and ease of use. It is historically a bull market, driven by the sustained growth of the 500 companies it represents, and carries a high correlation to a broad range of other tradeable assets. Regardless of your focus, keeping an eye on the S&P 500 is always worthwhile. The index itself is maintained by Standard and Poor’s, a financial intelligence company and division of S&P Global, which has tracked U.S. market performance since 1957. Inclusion is not automatic; rather, companies must meet strict criteria including a market capitalization above $22.7 billion, positive earnings over the prior four quarters, and sufficient trading volume and liquidity.

- From the desk of Declan Otañez

Works Cited

Boyte-White, Claire. “Liquidity and Liquid Assets: Key Differences Explained.” Investopedia, Investopedia, www.investopedia.com/ask/answers/052515/what-difference-between-banks-liquidity-and-its-liquid-assets.asp. Accessed 20 Feb. 2026.

Team, The Investopedia. “S&P 500 Index: Evolution, Significance, and Economic Impact.” Investopedia, Investopedia, www.investopedia.com/ask/answers/041015/what-history-sp-500.asp. Accessed 20 Feb. 2026.

“E-Mini S&P 500 Overview - CME Group.” Futures & Options Trading for Risk Management - CME Group, www.cmegroup.com/markets/equities/sp/e-mini-sandp500.html#tab_2q0MCAi=es-futures-vs-etfs. Accessed 20 Feb. 2026.

Futures

To start, futures are standardized contracts representing an agreement to buy or sell an asset at a set price on a future date. These are versatile, as you can trade commodities like oil, as well as derivatives based on indexes like the S&P 500. This is one of the most common ways to trade, as futures contracts are often very liquid and open up to nearly 24 hours a day. A common way to trade futures is through your own brokerage account or prop firms, which we will cover in a subsequent section.

Stocks

Stocks, or equities, are also common to trade. They allow you partial ownership, or equity, in a company; stock price movement broadly reflects the financial health, performance, and future earnings potential of the underlying company... Trading these is usually based on specific factors that influence a company, such as business cycles or surrounding of a new product launch. You can trade these through most brokerage accounts like Fidelity or Charles Schwab.

Options

Options grant the holder the right, but not the obligation, to buy or sell an asset at a predetermined price within a set timeframe prior to a denoted expiration. You can trade and gain exposure to many types of assets, including stocks, foreign currencies, and futures, through options, and there are a few different reasons to trade these. You can hedge against stocks that you may have in order to reduce downside risk, generating returns as the underlying position declines in value. Options offer leverage, meaning small price moves in the underlying asset result in magnified percentage gains or losses. Options are widely accessible to a broad financial class and can be traded with as little as one dollar, and are available through many common brokerage accounts.

Digital Assets

Cryptocurrencies are digital assets that operate on decentralized blockchain networks, independent of any traditional regulatory central authority. These markets are extremely volatile, which can result in high returns, but carry equally high risk and may not be appropriate for all risk profiles. Cryptocurrencies are speculatively valued on the perceived utility, scarcity, and adoption of the underlying network or protocol, but also maintain determinants such as auction mechanics and macroeconomic factors that influence the price of these assets. Beyond spot trading, where you simply buy and hold the actual asset, crypto markets also offer perpetual futures, or “perps.” Rather than owning the underlying asset, you are trading a contract that tracks its price, with no expiration date. This allows traders to take leveraged long or short positions without ever holding real crypto. To keep the contract price anchored to the spot price, a mechanism called funding is applied at regular intervals. If the majority of traders are long, longs pay shorts, and vice versa. This cost can add up over time and is an important consideration when holding perp positions for extended periods.

Crypto can be accessed through two primary types of exchanges: centralized (CEX) and decentralized (DEX). Centralized exchanges like Coinbase operate as intermediaries, custodying your assets on your behalf; meaning you do not actually hold your crypto, the platform does. This introduces significant counterparty risk, as has been demonstrated repeatedly by high-profile institutional failures and outright fraud. FTX, once one of the largest exchanges in the world, collapsed in 2022 amid revelations that customer funds had been misappropriated. Binance has faced extensive regulatory scrutiny and billions in settlements with U.S. authorities over financial crimes. Beyond custody risk, centralized exchanges often act as the counterparty to your trades, creating inherent conflicts of interest and the potential for predatory order book practices against retail users. Decentralized exchanges and smart contract protocols, such as DYDX, HyperLiquid, and Aster offer an alternative model, where trades are executed on-chain through automated liquidity protocols. Your counterparty is not an institution; it is individual liquidity providers or other traders interacting directly with the protocol. Critically, decentralized platforms allow you to maintain self-custody of your assets throughout, meaning no single entity controls your funds. The trade-off is that DEXs can carry their own risks, including smart contract vulnerabilities and thinner liquidity in certain markets. For traders serious about crypto, understanding the distinction between these two models is essential before committing capital to any platform.

Prediction Markets & Binary Options

Prediction markets, sometimes called event contracts, offer a novel and fundamentally different trading experience. Instead of speculating on how far a price will move, you are simply betting on whether something will or will not happen in a yes/no binary structure(e.g, will Apple close above 200$ on Friday?). Your risk is fixed the moment you enter, with no stop loss to manage and no open-ended downside. This makes them uniquely accessible and, when approached with an analytical edge, among the most favorable structures available to retail traders while still providing exposure to real market events like S&P 500 movements, CPI releases, election outcomes, weather patterns, or even sports games.

Major institutions are taking notice. CME Group partnered with FanDuel in late 2025 to launch FanDuel Predicts, letting users trade event contracts on financial benchmarks and economic indicators starting from $1. Intercontinental Exchange, parent of the NYSE, separately committed $2 billion to Polymarket. Legacy financial infrastructure is converging around this product category, and prediction markets are quickly becoming one of the most significant new retail access points in modern finance

The markets covered here represent the most accessible and widely traded instruments for developing traders. Other vehicles, including FOREX, bonds, and contracts for difference, exist and carry their own merit, but are outside the scope of this material. A strong foundation in the asset classes above will serve as the groundwork for exploring those markets when the time is right.

- From the desk of Declan Otañez

Works Cited

Schwab.com. “Why Trade Futures through Schwab.” Schwab Brokerage, www.schwab.com/futures/futures-trading. Accessed 20 Feb. 2026.

Schwab.com. “Introduction to Options.” Schwab Brokerage, www.schwab.com/options/what-is-trading-options. Accessed 20 Feb. 2026.

Team, The Investopedia. “Cryptocurrency Explained with Pros and Cons for Investment.” Investopedia, Investopedia, www.investopedia.com/terms/c/cryptocurrency.asp#toc-what-is-cryptocurrency. Accessed 20 Feb. 2026.

Within this context, there are three core actions available to a trader.

First, you can buy, also known as going long. Say I am trading S&P 500 futures, and my analysis indicates that the price is going to move upwards, so I go long. When the price goes up, I am able to make money on the gain in price compared to when I bought it. If the price goes below the amount that I paid, then I lose money.

Next, you can sell or go short. This works by borrowing shares at a specific price to sell, then buying them back at a better price. In the current example, if I went short at 6900 on the S&P 500 and the price dropped to 6870, I would make a profit on the 30-point drop. However, if the price continues upwards above my entry, I would lose money.

Finally, and perhaps the most important action of day trading is not doing anything. Trading is about identifying opportunities and acting on them. The market is always moving, which creates the illusion of constant opportunity. While you always have an opportunity to trade and make money, you do not always have the necessary conditions to profit from the market. It is important to be able to wait for setups to present themselves, as you are gambling otherwise. Knowing when to trade and when to sit on your hands is one of the hardest yet best skills an effective trader can have. The ability to wait for high-quality setups to develop, rather than forcing trades out of impatience, separates disciplined traders from everyone else. Patience is not passive. It is one of the most active and valuable skills you can develop.

- From the desk of Declan Otañez