US-Iran War and Oil: What Prediction Markets Are Actually Pricing
The Hormuz Strait is disrupted, oil is elevated, and prediction markets are placing real money on what happens next. Here is what the orderbooks actually say — and where they might be wrong.
The Hormuz Strait is disrupted, oil is elevated, and prediction markets are placing real money on what happens next. Here is what the orderbooks actually say — and where they might be wrong.
The Numbers on the Board
Forget the cable news chyrons. Forget the think tank white papers written before the first strike. If you want to know what informed participants with real capital at risk believe about the US-Iran conflict, you look at prediction markets.
As of late March 2026, here is what the major platforms are pricing:
On Kalshi:
- US military operations against Iran continuing through Q2 2026: trading around 72-78 cents (implying ~75% probability)
- WTI crude oil above $110/barrel at end of Q2: trading around 58-64 cents
- US gas prices above $4.50/gallon national average by June: trading around 61-67 cents
- US recession in 2026 (two consecutive quarters of GDP contraction): trading around 34-40 cents
- Fed cutting rates before July 2026: trading around 22-28 cents
On Polymarket:
- US-Iran conflict escalation to full-scale war: trading around 38-44 cents
- Hormuz Strait fully reopened by June 2026: trading around 18-24 cents
- Oil above $130/barrel at any point in 2026: trading around 29-35 cents
- Iran nuclear deal or ceasefire agreement by end of 2026: trading around 15-21 cents
These numbers tell a story, and it is not the story you are hearing on most broadcasts. The market consensus — expressed in dollars, not opinions — is that this conflict is likely to persist through the spring, that oil will remain elevated but probably not spike catastrophically, and that the macroeconomic fallout is meaningful but not yet at recession-level certainty.
That "not yet" is doing a lot of work. Let us pull it apart.
The Causal Chain: From Hormuz to Your Portfolio
The reason this conflict matters beyond its immediate human toll is a five-link causal chain that macro analysts have been mapping since the first disruptions in the Strait of Hormuz. Each link has its own probability, and the chain's total impact is the product of all of them.
Link 1: Conflict Duration and Intensity The US-Iran military engagement has featured tactical strikes, pauses, and periods of apparent de-escalation followed by renewed operations. Prediction markets are pricing approximately 75% odds that operations continue through Q2. This is the input variable for everything downstream. If the conflict ends tomorrow, the rest of the chain collapses. If it escalates, every subsequent probability shifts.
Link 2: Hormuz Strait Disruption Roughly 20% of the world's oil passes through the Strait of Hormuz. Markets are pricing only an 18-24% chance of full reopening by June, which implies 76-82% odds of continued disruption in some form. This is the transmission mechanism — the physical bottleneck that converts a regional conflict into a global commodity shock.
Link 3: Oil Price Elevation With Hormuz disrupted, oil stays elevated. The market currently implies about 60% odds of WTI above $110 at end of Q2, and about 30% odds of a spike above $130 at some point this year. This is the signal that matters for the real economy. The difference between $95 oil and $130 oil is the difference between "uncomfortable" and "structurally damaging."
Link 4: Inflation Resurgence and Consumer Impact Elevated oil flows directly into gasoline prices, shipping costs, petrochemical inputs, and headline CPI. The gas price contracts on Kalshi (61-67% odds of $4.50+ national average) are pricing this transmission. For the Fed, which spent 2023-2024 grinding inflation back toward target, an oil-driven resurgence is the nightmare scenario: a supply shock they cannot fix with interest rate policy.
Link 5: Recession and Fed Response Here is where it gets interesting. Recession contracts are trading around 34-40%, and Fed rate cut contracts are trading only 22-28% for a cut before July. The market is saying: "There is a real but not dominant chance this tips the economy into recession, and even if it does, the Fed will be slow to respond because they are trapped between supporting growth and fighting the inflation that oil is causing."
This is the dual mandate in a vise. And prediction markets are quantifying each jaw of it.
Causal Trees: How to Think About Compound Geopolitical Risk
The chain above is useful but simplified. Reality does not move in a single line. It branches. This is where the concept of a causal tree becomes essential — and where prediction markets become most valuable as analytical tools.
A causal tree decomposes a complex geopolitical scenario into branching paths, each with its own probability and downstream consequences. Instead of asking "will there be a recession?" as a single yes/no question, you map the tree of conditions that lead to each outcome.
Here is how the US-Iran causal tree actually branches:
US-Iran Conflict Status
├── De-escalation / Ceasefire (~25%)
│ ├── Hormuz reopens quickly (~80% conditional)
│ │ ├── Oil returns to $85-95 range
│ │ ├── Inflation stays contained
│ │ └── Recession odds drop to ~15%
│ └── Hormuz reopens slowly (~20% conditional)
│ ├── Oil stays $100-110 for months
│ └── Recession odds ~20-25%
│
├── Continued Limited Operations (~45%)
│ ├── Hormuz partially disrupted (~70% conditional)
│ │ ├── Oil $105-120 range
│ │ ├── Gas $4.20-4.80 national avg
│ │ ├── Fed holds rates
│ │ └── Recession odds ~35-40%
│ └── Hormuz fully blocked (~30% conditional)
│ ├── Oil $120-140+ range
│ ├── Gas $5.00+ national avg
│ ├── Fed faces impossible choice
│ └── Recession odds ~55-65%
│
└── Escalation to Full-Scale War (~30%)
├── Hormuz fully blocked (~90% conditional)
│ ├── Oil spike to $140-180 range
│ ├── Global supply chain disruption
│ ├── Recession odds ~70-80%
│ └── Fed forced to cut despite inflation
└── Hormuz partially open (~10% conditional)
├── Oil $130-150 range
└── Recession odds ~50-60%
Now here is the critical insight: prediction markets give you prices on individual nodes of this tree, but they do not give you the tree itself. The analytical value comes from building the tree and then checking whether the market prices at each node are consistent with each other.
When they are not consistent, you have found an edge.
Let us do that math. If you take the market-implied probabilities at each branch and compute the weighted-average recession probability across all paths, you get something in the range of 36-42%. The direct recession contract is trading around 34-40%. That is reasonably consistent — the market appears internally coherent on recession pricing.
But check the oil numbers. The weighted-average oil outcome across the tree, using the branch probabilities and conditional oil ranges, implies a mean expected WTI price in the $108-116 range for end of Q2. The Kalshi contracts for oil above $110 at end of Q2 are trading 58-64%, which implies the market sees roughly even odds of being above or below $110. That is slightly lower than what the tree math suggests.
This does not mean the market is "wrong." It means either (a) the market is pricing in strategic petroleum reserve releases, increased production from other OPEC members, or demand destruction that the simple tree does not capture, or (b) there is a small edge in the oil contracts. Determining which requires further analysis — but the tree tells you where to look.
Where Market Prices Diverge From Thesis-Implied Prices
This is the section that matters if you are using prediction markets not just to understand the world but to identify mispricing. Let us walk through several potential divergences.
Divergence 1: War Duration
The most striking potential gap is in conflict duration. Markets are pricing approximately 75% odds that military operations continue through Q2 2026. But consider the base rate: the median duration of US military operations that involve direct strikes against a state actor, post-2001, is significantly longer than three months. The 25% probability assigned to de-escalation by end of Q2 may be too high — or it may reflect genuine diplomatic back-channel activity that public observers cannot see.
This is a fundamental challenge with geopolitical prediction markets: the participants with the best information (government officials, intelligence analysts, diplomats) are precisely the people who cannot legally trade on it. The marginal price-setter on Kalshi is not a State Department official. They are a macro trader or a sophisticated retail participant working from public information.
If you believe the base rate for conflicts of this type suggests a longer duration than markets imply, the conflict-continuation contracts may be underpriced. If you believe the tactical pauses signal genuine movement toward a settlement, they may be overpriced. Both theses are defensible. The point is that the 75% number is not revealed truth — it is a price, and prices can be wrong.
Divergence 2: Hormuz Reopening
The market-implied probability of Hormuz fully reopening by June (18-24%) seems low until you consider what "fully reopened" means operationally. Insurance premiums for vessels transiting the Strait are a real-world signal here. If insurers are still charging war-risk premiums, commercial traffic remains suppressed even if no mines are in the water. The market may be correctly pricing the gap between "military operations cease" and "commercial shipping normalizes."
This suggests a potential divergence between the conflict-cessation contracts and the Hormuz reopening contracts. You can have a ceasefire and still have a disrupted Strait for weeks or months afterward. If conflict-cessation is priced at 25% for Q2 but Hormuz reopening is priced at only 18-24%, the market is implicitly saying that even if fighting stops, there is a material delay before shipping normalizes. That seems right historically — but the implied delay (given the probability gap) may be too conservative or too aggressive depending on your assessment of mine-clearing timelines and insurance market dynamics.
Divergence 3: The Oil-Recession Transmission
Here is perhaps the most analytically interesting divergence. Recession contracts are trading 34-40%. Oil above $110 contracts are trading 58-64%. In past oil shocks (1973, 1979, 1990, 2008), the relationship between sustained oil price elevation and recession onset has been strong but not deterministic. The 2008 spike preceded a recession, but the recession had other causes. The 1990 spike coincided with a mild recession. The 2011-2014 period of $100+ oil did not cause a recession at all.
The market appears to be pricing an approximately 55-65% conditional probability of recession given sustained oil above $110. This is within the historical range but arguably on the lower end, particularly given that the current shock is supply-driven (harder for policy to offset) and comes at a time when the economy is already showing signs of slowing.
If you believe the conditional probability should be higher — say 65-75% — then either the recession contracts are too cheap or the oil contracts are too expensive. You cannot have both at the current prices and also believe in a tight oil-recession linkage.
Divergence 4: Fed Response Timing
The most aggressive pricing on the board may be the Fed rate cut contracts. Only 22-28% odds of a cut before July. If the conflict persists, oil stays elevated, and the economy begins contracting, the Fed will face enormous pressure to cut. The market seems to be saying: "Even in the recession scenario, the Fed will choose to fight inflation rather than support growth."
This is a defensible position — Fed officials have repeatedly stated their commitment to price stability, and an oil-driven inflation spike is exactly the scenario where cutting would be most counterproductive. But it also may not survive contact with reality. If unemployment starts rising materially while oil is at $120, the political economy of holding rates steady becomes extremely challenging. The market may be overestimating the Fed's willingness to absorb a recession to fight supply-driven inflation.
Specific Markets to Watch
If you are setting up a monitoring framework for the US-Iran situation, here are the specific contracts and instruments worth tracking daily.
Prediction Market Contracts
On Kalshi:
- "Will US military operations in Iran continue in [month]?" — monthly duration contracts. Watch for the term structure: if April is at 80% but June drops to 50%, the market is pricing a resolution timeline.
- "WTI Crude Oil above $X at end of [month]" — available at multiple strike prices. The shape of the probability curve across strikes tells you whether the market sees symmetric risk or a fat tail to the upside.
- "National average gas price above $X in [month]" — the consumer-facing transmission of oil prices. These lag the crude contracts by 2-4 weeks in price discovery.
- "Fed Funds Rate at or below X% after [month] meeting" — the policy response function. Watch for sudden moves after employment data releases.
- "US GDP growth negative in Q2/Q3 2026" — direct recession pricing. Compare to the recession probability implied by your causal tree.
On Polymarket:
- "Will the US and Iran reach a ceasefire by [date]?" — resolution criteria matter here. Read the contract terms carefully to understand what counts as a ceasefire.
- "Will Iran's nuclear program be targeted?" — escalation scenarios. This is the tail risk contract.
- "Will oil reach $X in 2026?" — binary contracts at various strike prices. Useful for constructing an implied probability distribution.
Traditional Financial Instruments
Prediction markets do not exist in isolation. Cross-reference them with:
- WTI and Brent crude futures curves: The shape of the futures curve (contango vs. backwardation) tells you whether the market expects the supply disruption to be temporary or persistent. As of late March, the curve is in significant backwardation, which suggests the market sees current prices as a peak rather than a floor.
- Crack spreads: The difference between crude oil prices and refined product prices (gasoline, diesel). If crack spreads are widening, it means refining capacity is the bottleneck, not just crude supply. This has implications for how quickly consumer prices respond to any crude oil decline.
- 5-year breakeven inflation rates: The bond market's expectation of average inflation over the next five years. If these are rising while prediction market recession contracts are also rising, the market is pricing stagflation — the worst outcome for traditional portfolios.
- VIX and MOVE indices: Equity and bond market volatility. Elevated readings suggest the market has not yet found a stable consensus on outcomes. Watch for a divergence between equity vol (VIX) and bond vol (MOVE) — if MOVE is elevated but VIX is not, the market is saying "we know rates are uncertain but equities will muddle through." If both are elevated, the market sees systemic risk.
The Consensus Gap: Who Is Right?
There are broadly two camps on the current pricing, and it is worth presenting both honestly.
The Case That Markets Are Underpricing Duration and Severity
This argument goes as follows: prediction markets are populated by participants who have a recency bias toward short conflicts. The US military engagements of the past decade — strikes in Syria, the ISIS campaign, the Afghanistan withdrawal — were either brief or (in the case of Afghanistan) already priced in as long-duration when the withdrawal happened. There is no recent precedent for a new, open-ended, state-on-state conflict involving the US and a significant regional power.
Proponents of this view point to several factors:
- Iran's ability to sustain asymmetric disruption of the Strait through proxy forces, mines, and anti-ship missiles, even if direct military confrontation goes poorly
- The difficulty of "winning" in any conventional sense without regime change, which no one is publicly advocating
- The domestic political incentives on both sides to avoid being seen as backing down
- The historical pattern of Middle Eastern conflicts lasting longer than initial expectations
If this camp is right, the conflict-duration contracts should be trading higher (more like 85-90% for Q2 continuation), the Hormuz disruption should be priced as more persistent, and the downstream oil and recession contracts are too cheap.
The Case That Markets Are Overpricing Severity
The counter-argument is that prediction markets, and risk markets generally, tend to overprice dramatic scenarios because dramatic scenarios attract attention and trading volume. The participants most likely to trade geopolitical contracts are those who find the scenarios interesting — and "everything is fine" is not interesting.
This camp points to:
- The tactical pauses in strikes, which may indicate genuine interest in off-ramps on both sides
- The existence of back-channel communications (reported but not confirmed) through intermediaries
- The economic pain that sustained high oil prices impose on both the US (consumer spending, election implications) and Iran (whose economy also suffers from conflict, despite being an oil exporter)
- The historical precedent of the 1988 Operation Praying Mantis, where a US-Iran naval confrontation in the same waters was followed by relatively quick de-escalation
- Global strategic petroleum reserves, which remain substantial and could be deployed to blunt a price spike
If this camp is right, the market is approximately correctly priced or even slightly overpriced on duration and severity, and the real mispricing is in the de-escalation scenarios — ceasefire and diplomacy contracts may be too cheap.
The Honest Answer
Neither camp has a monopoly on insight. The value of prediction markets is not that they are always right — a prediction market that was always right would be an oracle, not a market. The value is that they aggregate information efficiently and update in real time.
What the current prices tell you is that the market's central estimate is "extended but contained" — a conflict that persists for months, keeps oil elevated but below crisis levels, creates headwinds for growth but probably does not cause a recession. This is a reasonable base case. Whether it is correct is a different question.
The edges, if they exist, are likely at the extremes: in the tail scenarios (full escalation or rapid resolution) that the market assigns 20-30% combined probability. Historically, geopolitical tail events are underpriced in calm markets and overpriced during crises. We are in the crisis period, which suggests — if anything — that the tail scenarios might be slightly overpriced right now. But "slightly" is doing a lot of work in that sentence.
Track Record: How Have Prediction Markets Done on Geopolitics?
This is a fair question, and the honest answer is mixed.
Where prediction markets have performed well:
- Elections: Prediction markets have consistently outperformed polls in US presidential elections, with the notable exception of 2016 (where markets and polls both missed). Their real-time updating and ability to incorporate non-polling information (early vote data, ground reports) gives them a structural advantage.
- Brexit: Prediction markets initially priced Leave as unlikely but began shifting in the final weeks. They were late but faster than most analysts.
- COVID policy responses: Markets on lockdown durations and vaccine timelines were reasonably well-calibrated, particularly after the initial shock period.
Where prediction markets have struggled:
- Russia-Ukraine 2022: In February 2022, prediction markets were pricing Russian invasion at roughly 30-40% in the days before it happened. This was higher than many analyst estimates but still significantly underpriced what turned out to be a near-certainty. The market was better than pundits but worse than satellite imagery analysts.
- Conflict duration: Markets consistently underestimated the duration of the Russia-Ukraine conflict. Initial contracts on the war ending in 2022 were significantly overpriced. This is the strongest argument for the "underpricing duration" camp in the current US-Iran context.
- Second-order effects: Markets have been better at pricing direct outcomes (will X happen?) than at pricing causal chains (if X happens, will Y follow, and if Y follows, will Z result?). The multi-link chain from Hormuz disruption to recession is exactly the kind of compound event where markets may misprice.
The meta-lesson is that prediction markets are a tool, not a truth machine. They are the single best real-time aggregator of public information. They are not good at pricing events driven by private information (intelligence assessments, diplomatic back-channels) or events with no historical precedent (the specific dynamics of a US-Iran conflict in 2026 are novel, even if the broader category of "oil shock from Middle East conflict" is not).
Use them as one input among several. Weight them heavily for well-defined, short-duration, high-liquidity questions. Weight them less for compound, long-duration, novel scenarios. The current situation has elements of both, which means the market prices deserve serious attention but not uncritical acceptance.
Setting Up a Monitoring Framework
If you are tracking this situation systematically rather than checking prices ad hoc, the most efficient approach is to build a monitoring stack that alerts you to meaningful moves.
SimpleFunctions provides a way to set up persistent tracking across prediction markets. The basic setup:
sf create "US-Iran war will not end quickly"
This creates a thesis that the system monitors 24/7, pulling relevant contract prices from Kalshi, Polymarket, and other platforms. When prices move significantly or new relevant contracts are listed, you get notified.
You can layer additional theses to cover the full causal chain:
sf create "Oil prices will remain above $110 through Q2 2026"
sf create "US recession probability is rising"
sf create "The Fed will be forced to cut rates despite inflation"
Each thesis monitors the relevant contracts and cross-references them against the others. The value is not just in tracking individual contract prices — any broker app does that — but in watching for divergences between related contracts. If oil contracts suddenly spike but recession contracts do not move, either the market is slow to update the downstream contracts or the market believes the oil spike will be transient. Either way, the divergence is information.
The key metrics to set alerts for:
- Conflict duration contracts moving more than 5 cents in a day (suggests new information about escalation or de-escalation)
- Oil contracts and crude futures diverging (prediction markets and commodity markets should roughly agree; when they do not, one is lagging)
- Recession contracts crossing 50% (the market's central estimate flips from "probably no recession" to "probably recession")
- Fed rate contracts moving sharply after employment or CPI data (tells you the market is updating its view of the policy response function)
- Ceasefire/diplomacy contracts moving up from their current low levels (the earliest signal of a resolution scenario gaining credibility)
What This Means Right Now
As of late March 2026, here is what the prediction market composite picture says, stripped of narrative:
The market's central scenario is an extended but contained conflict. Oil stays elevated, probably in the $105-120 range, for several more months. Hormuz remains partially disrupted. The US economy slows but probably avoids recession (60-66% odds of no recession). The Fed holds rates steady, caught between inflation and growth concerns. A ceasefire or diplomatic resolution is possible but not the base case (15-21% odds by year end).
The uncertainty bands around this central scenario are wide. The market assigns meaningful probability to both tails — rapid resolution and significant escalation. This is reflected in the bid-ask spreads on the relevant contracts, which remain wider than normal, indicating genuine disagreement among participants.
For analysts and allocators, the actionable takeaway is not to take a single position based on a single contract price. It is to build the causal tree, monitor the nodes, identify divergences, and update as new information arrives. The market is not an oracle. It is a scoreboard. And right now, the score is close enough that paying attention to every update matters.
The contracts are live. The orderbooks are open. The question is not what you believe will happen — it is what you believe the market has wrong.
All prediction market prices cited reflect approximate ranges observed in late March 2026 and are subject to continuous change. Contract specifications, resolution criteria, and liquidity vary across platforms. This analysis is informational and does not constitute financial or trading advice.