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MIB: Ceasefire Euphoria — Oil Craters 14%, S&P Surges, Then the Strait Closes Again

By RecessionALERT on April 8, 2026 in Reflections

S&P +2.51%, Dow +1,325 pts on Trump-Iran two-week ceasefire — but the Strait of Hormuz partially halted again by day’s end as the truce frayed. WTI -14.5%; semiconductors led: INTC +11%, LRCX +10%. Travel surged: UAL +10%, CCL +11%. Energy the only loser: XOM -5%, CVX -5%. UNH +9.4% on $13B Medicare Advantage windfall. FOMC minutes revealed rate hike discussions — Friday’s March CPI is the next test.

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MIB: Kharg Island — Iran Strike Risk, Oil at $114, and the Market Held Its Breath

By RecessionALERT on April 7, 2026 in Reflections

Trump’s Iran 8pm deadline looms as US strikes Kharg Island — WTI hit $114 intraday before settling at $110. CMS finalized Medicare Advantage +2.48% rates (UNH +9.37%, HUM +12%). NY Fed gas price expectations hit 4-year high of 9.4%. Trump restructured Section 232 metal tariffs to 50%/25% tiers. AVGO +6.21% on Google AI chip deal through 2031. DXY slid below 100 as gold hit $4,732.

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IMPORTANT DISCLAIMERS: Although many of our models rely heavily on back-testing, optimisation and probability methods, please note that past performance is NO GUARANTEE for future returns. No system devised by man can predict the future, let alone the future of the markets and economies. What we have are sets of mathematical models that use historical data and varying theories to pinpoint places in time when the STATISTICAL LIKELYHOOD of calling the start and end to recessions is the greatest. In the midst of all the best mathematical models, you can have geo-political events, wars, terrorist attacks, natural disasters and even nuclear accidents that tip everything upside down. This is always a risk factor you need to factor in on any recession call no matter how confident you are in a signal. The SuperIndexes are created through mathematical and statistical optimisation techniques that best fit the historical NBER data. There is no guarantee that out-of-sample performance will match that of prior in-sample performance.