Strait of Hormuz Closure: Multi-Model Oil Market Analysis

Non-Speculative Equilibrium Brent Path — 5 Independent AI Research Models Aggregated
LIVE CRISIS Brent: ~$112.57/b (Mar 27, 2026) | IEA 400 mb release | Saudi Petroline activated | Agent: Monitoring

Strait of Hormuz Closure

Multi-Model Oil Market Analysis Platform

This platform synthesizes data from over 10,000 pages of geopolitical and energy market research to model the impact of a Strait of Hormuz closure on global oil markets. Explore scenario-based analysis, econometric modeling, interactive supply-demand simulations, and historical crisis analogues.

Disclaimer: This platform is for informational and educational purposes only. It does not constitute financial advice. Data may contain approximations and may become outdated as the crisis evolves. Past performance of historical analogues does not predict future outcomes.

Created with support from 8+ AI models and financial industry expertise. Continuously updated by AI research agents.

INTERACTIVE: SUPPLY-DEMAND EQUILIBRIUM CURVES — Core Analytical Tool

This model computes the pure physical equilibrium oil price — the EP (Econometric Price) — based on supply-demand fundamentals. Pre-war equilibrium: ~$63/b (global supply 104.5 mb/d meets demand 104.9 mb/d). The crisis shifts the supply curve LEFT by the gross disruption, then partially RIGHT by countermeasures (SPR releases, bypass pipelines, OPEC spare capacity). The clearing price is where the post-mitigation supply curve intersects the demand curve.

This EP excludes market psychology, fear premiums, and speculative behavior — it is the price a perfectly rational market would produce given only physical fundamentals. SP (Scenario Price) is typically 20-40% higher than EP due to fear premiums and hoarding.

Sliders: Supply Loss = Hormuz disruption (mb/d). Reserve Release = SPR/IEA deployment. Alt. Supply = bypass pipelines + OPEC surge. Demand Destruction = conservation + rationing.

Implied clearing price: $101/b
1 SUMMARY — AGGREGATED MULTI-MODEL CONSENSUS
ECONOMETRICS: SUPPLY-DEMAND EQUILIBRIUM BRENT PATH (EXCLUDING MARKET SENTIMENT)
EQUILIBRIUM PRICE TABLE — Econometric Supply-Demand Consensus (5 Models)
HorizonAvg Mitigation ⓘAvg Log. Penalty ⓘAvg Net Deficit ⓘAvg Brent ⓘRange LowRange HighCum SPR ⓘ
SUPPLY-DEMAND BALANCE ASSUMPTIONS — Physical Market Parameters (mb/d by horizon)
ModelGross LossMit. TodayMit. 1 MonthMit. 3 MonthsMit. 6 MonthsDeficit TodayDeficit 1mDeficit 3mDeficit 6m
RECONSTRUCTED SUPPLY & DEMAND CURVE (Day 30, Aggregated)
PHYSICAL DEFICIT AND COUNTERMEASURE EVOLUTION
PRICE DISCONNECT: WHY BRENT IS FAR BELOW MODEL ESTIMATES ▼ EXPAND
All 5 models agree the physical clearing price under full Hormuz closure should be $146–$266/b — yet Brent trades at ~$101/b. The gap is not a model error — it reflects the market pricing a probability-weighted blend of scenarios, heavily discounting the "prolonged closure" outcome. Below are the key factors suppressing price, ordered by estimated impact.
Bottom line: The ~$101 price implies ~50% probability of swift resolution. If that probability drops below 30%, Brent should reprice to $140–$180. If closure persists past SPR exhaustion (~day 120), prices converge to model estimates ($146–$210).
RE-RATING CATALYST MODEL: WHAT DRIVES PRICE TOWARD MODEL ESTIMATES ▼ EXPAND
Each scenario shows a price path from current ~$101/b toward model equilibrium. Click legend items to toggle scenarios. The Expected Path is the probability-weighted blend of all scenarios including a 35% ceasefire resolution.
RE-RATING CATALYSTS — TRIGGER CONDITIONS & PROBABILITIES ▼ EXPAND
CatalystProbabilityTrigger DayPeak PriceYear-EndKey Milestone
PRICE GAP DECOMPOSITION — MODEL CONSENSUS
2 INDIVIDUAL MODEL RESEARCH TABS Click to expand — detailed research outputs from each of the 5 independent AI research models
3 INFO MERGED — COMBINED NON-DUPLICATE DATA ▼ EXPAND
BASELINE PHYSICAL MARKET (Averaged)
MetricAveraged ValueRange
CountryCrude (mb/d)Products (mb/d)TotalBypass?
MERGED HORIZON TABLE
HorizonMitigation ⓘLog. Penalty ⓘNet Deficit ⓘBrent ($/b)Cum SPR ⓘSPR Remaining ⓘ
MERGED COUNTERMEASURES (Deduplicated, Averaged)
CountermeasureAvg Realistic (mb/d)RangeAvg ConfidenceNotes
DESTINATION EXPOSURE
DestinationHormuz Flow (mb/d)Share
4 SENSITIVITY ANALYSIS ▼ EXPAND
CROSS-MODEL SENSITIVITY COMPARISON
ModelLow 1mBase 1mHigh 1mLow 3mBase 3mHigh 3mLow 6mBase 6mHigh 6m
5 RED TEAM / FAILURE MODES ▼ EXPAND
  • 1
    Bypass capacity lower than assumed. Saudi Petroline + Yanbu terminal may not sustain 3.5-5 mb/d. All models flag this as the single biggest swing factor.
  • 2
    Houthi Red Sea escalation. Yanbu bypass requires Red Sea transit. If Bab el-Mandeb is interdicted, the bypass becomes non-viable.
  • 3
    Crude quality mismatch. Gulf supply is medium/heavy sour. SPR releases are light sweet. Refineries calibrated for sour crude face yield penalties.
  • 4
    SPR less deliverable than assumed. Pipeline constraints limit US SPR to ~1.4-2.2 mb/d sustained. IEA coordination historically never exceeded 2 mb/d combined.
  • 5
    Product dislocation outpaces crude. Gulf exports ~5 mb/d products (diesel, jet, LPG). Europe relies on Gulf for 50%+ of jet fuel. Product cracks explode before Brent fully reflects stress.
  • 6
    Tanker fleet freeze. War-risk insurance cancellations could paralyze global VLCC fleet. Even released SPR oil can't move without insurable hulls.
  • 7
    Earlier reopening. A 14-30 day diplomatic resolution would crash prices rapidly. Models overstate if closure is short.
  • 8
    Demand elasticity even lower. If near-term elasticity is 0.02 instead of 0.04, price-only clearing becomes impossible for months.
  • 9
    LNG contagion. Qatar LNG (~80 mtpa, 20% global) also transits Hormuz. Gas price spike increases oil-for-power demand, partially offsetting oil demand destruction.
  • 10
    Financial market amplification. Paper-market panic, margin calls, and short-squeezes could drive transient spikes well beyond physical equilibrium.
6 FINAL JUDGMENT ▼ EXPAND
🎯 PREDICTION MARKETS — IRAN CRISIS BETS (POLYMARKET & KALSHI)
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🚀 IRAN MISSILE & DRONE CAPABILITIES — GULF INFRASTRUCTURE THREAT
1990 1990 GULF WAR OIL CRISIS — HISTORICAL ANALYSIS
BRENT CRUDE WEEKLY OHLC — JAN 1990 TO JUN 1991
EVENT TIMELINE — 30 KEY EVENTS
Sort:
FEAR PREMIUM DECOMPOSITION AT PEAK ($41/b, OCT 11 1990)
VS 1990 vs 2026 — CRISIS COMPARISON
INDEXED PRICE PATHS — NORMALIZED TO 100 AT DAY 0
HISTORICAL DISRUPTIONS — % OF GLOBAL DEMAND
SIDE-BY-SIDE COMPARISON — 12 KEY METRICS
Metric1990 Gulf War2026 HormuzSeverityVerdict
COUNTERMEASURE RESPONSE COMPARISON
CountermeasureVolume (mb/d)Activation LagDurationNotes
MARKET TIMING STATISTICS — 1990 vs 2026
Metric19902026Note
HISTORICAL DISRUPTIONS — SIZE vs DURATION
HISTORICAL ANALOGUE CALCULATOR

This calculator models how the 2026 Hormuz crisis Brent price path would look if it followed the proportional pattern of the 1990 Gulf War. It normalizes both crises to Day 0 = 100, then scales the historical trajectory to 2026 conditions using CPI adjustment (2.35× for 1990 to 2026 USD). Select a historical analogue, adjust duration and countermeasure sliders, and the chart updates in real time. Note: this is a proportional analogy, not a prediction — the 2026 crisis is structurally different (19% supply disruption vs 7% in 1990) but the shape of the price trajectory may follow similar patterns.

KEY INSIGHTS
1970s 1970s OIL CRISIS — HISTORICAL ANALYSIS
1973 OAPEC Arab Embargo & 1979 Iranian Revolution
⚠ 1973 HISTORICAL NOTE: The IEA Strategic Petroleum Reserve that provides the current 1,800 mb emergency buffer DID NOT EXIST during the 1973 oil embargo. The IEA was founded in November 1974 as a direct institutional response to the 1973 crisis. When analysing the 1973 price shock, bear in mind the world had zero emergency buffer — the equivalent of 2026 having no IEA, no US SPR, and no Saudi bypass.
ARABIAN LIGHT MONTHLY OHLC — JAN 1972 TO DEC 1975
EVENT TIMELINE — 1973 EMBARGO
Sort:
FEAR PREMIUM DECOMPOSITION AT PEAK ($11.65/b, DEC 1973)
VS 1970s vs 2026 — CRISIS COMPARISON
INDEXED PRICE PATHS — NORMALIZED TO 100 AT DAY 0
SIDE-BY-SIDE COMPARISON — 1973 vs 1979 vs 2026
Metric1973 Embargo1979 Revolution2026 HormuzSeverityVerdict
COUNTERMEASURE RESPONSE — 1973 EMBARGO
CountermeasureVolume (mb/d)Activation LagDurationNotes
MARKET TIMING STATISTICS — 1970s vs 2026
Metric1973 Embargo1979 Revolution2026 HormuzNote
HISTORICAL DISRUPTIONS — SIZE vs DURATION
KEY INSIGHTS
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🌍 MIDDLE EAST STRATEGIC MAP
Interactive event map · chokepoints · strategic locations · agent markers
FILTER: — markers
SHAPE = AGENT
COLOR = CATEGORY
⚡ SCENARIO SIMULATOR
SCENARIO PRESETS — SELECT TO AUTO-CONFIGURE
Note: Adjusted probabilities are normalized so all 14 scenarios sum to 100%, treating them as the exhaustive set of outcomes. Raw event-based probabilities (used in the physics simulator) remain unchanged. This normalization enables direct cross-scenario comparison.
Click cycle: Unselected → ✓ AND (all must occur) → ◆ OR (any may occur) → Unselected
Conflicting events detected:
Peak Brent
—
scenario peak
3-Month Brent
—
day 90
Delta vs Base
—
at day 90
Events Selected
0
of 100+
BRENT CRUDE FORWARD PATH — ANCHORED TO LIVE MARKET PRICE
── Pre-War History ── Crisis Period (Observed) ◆ Today -- Scenario Forecast -- Base Case
Sort:
ⓘ BASE CASE ASSUMPTIONS (click to collapse)
Swift Resolution Scenario — What the market prices at $101/b:
▶ Ceasefire framework: ~Day 14
▶ Hormuz reopens: ~Day 30
▶ Residual disruption: 12%
▶ Recession probability: 15%
▶ SPR bridge: active (415 mb)
▶ Saudi Petroline: active (5 mb/d)
Price Path (cubic Hermite interpolation):
Day 0Day 7Day 14Day 30Day 60Day 90Day 180Day 270+
$101$104$107$97$85$82$79$78
How Scenarios Work:
• Physics engine computes supply/demand balance with event parameters
• Delta method: scenario_price = base_path + delta × absorption × mean_reversion × adaptation
• SPR suppression: 0.20+0.80·((t−30)/90)1.5 (400mb IEA coordinated release (US SPR inventory: ~415mb) + commercial stocks fill gap for 60-90 days)
• Market belief: 0.40+0.60·(1−e−t/120) (traders discount worst case — real-world: $103 vs $350 physics)
• Absorption: 1−e−t/τ (shock: τ=5d, gradual: τ=30d)
• Mean reversion: 0.40 + 0.60·e−t/300 (fear premium fades, 40% permanent structural repricing)
• Market adaptation: 1/(1+0.003t) (supply chain adjustment — gentler for prolonged crises)
• Daily cap: max ±4% per day (calibrated: Gulf War 1.3%/d, current crisis 2.8%/d, Abqaiq 15% outlier)
• Post-duration fade: exponential decay τ=21d (price normalizes in ~3 weeks after crisis ends)
• closureEffectiveness base = 0.12 (12%); events add to this
• Floor price: $40/b (marginal production cost)
Events compute deltas from this baseline. Zero events selected = base case only.
OR-group events contribute their probability-weighted expected price impact. AND-group events contribute their full impact.
Select events from the left panel to build a custom scenario. Click once for AND (blue ✓), twice for OR (green ◆), three times to deselect.
# Tier▲ Event ID▲ Label▲ Category▲ Dir▲ Prob%▲ mb/d▲ Conf▲ Clos.Δ▲ Sup.Δ▲ Elast▲ Adder▲ Dur▲ Sources▲ Agents Trigger▲ ⚠▲
SOURCES
Primary: EIA (Hormuz flows, STEO), IEA Oil Market Reports (Feb/Mar 2026), OPEC MOMR, DOE (SPR data), S&P Global Platts, Aramco/ADNOC operational statements.
Elasticity: Caldara et al. (2019), Kilian & Murphy (2012), IMF WEO (2011), Labandeira et al. (2017 meta-analysis), Hamilton (2009).
Models: GPro, CDS, GmDR, GpDR, CA — five independent AI research models.