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MIB Daily: Oil Crashed on a “Fabrication,” Cook Still Wants to Hike, SNOW Surged 34% — Stagflation Verdict Thursday

By RecessionALERT on May 27, 2026 in Reflections

Iran state media’s Hormuz peace framework crashed WTI 4.69% to $89.49 and lifted the Dow to record 50,670; the White House called it a “complete fabrication.” Fed Governor Cook issued 2026’s clearest hike signal — “I am prepared to raise rates” — with April PCE at 3.8% due Thursday. Snowflake surged 34% on record sequential growth and a $6B AWS deal; QCOM shed 6% after a near-30% weekly run. Thursday’s GDP, PCE, and durables are the year’s peak positioning risk.

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MIB: Oil Crosses $100, Record G7 SPR Release, FOMC Blackout Begins & February CPI Due Tomorrow

By RecessionALERT on March 9, 2026 in Reflections

WTI crude breached $100/bbl intraday (peak $119) — biggest oil supply disruption in history. G7+IEA authorized a record 300-400M barrel SPR release. Trump told CBS “war is very complete” — Dow swung from -900 to +239 in hours (S&P +0.83%, Nasdaq +1.38%). NOC +6%, LMT hit all-time high as defense broke out. CCL -6%, RCL -4% as cruise lines bled. Oracle reports tonight; February CPI drops tomorrow.

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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.