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MIB: Hormuz Crisis Day 3 — Oil +15%, Stagflation Signal Flashes, Fed Pulls Back on Rate Cuts

By RecessionALERT on March 3, 2026 in Reflections

US-Iran war enters Day 3 — gold hit $5,417 record Monday, oil +15% this week. S&P 500 -0.94%, trimmed from intraday -2.5% loss after Trump’s Navy escort announcement. Fed’s Williams and Kashkari pull back from 2026 cut forecasts as 10Y yields rise on stagflation fears. UAL -4.09%, DAL -5% on fuel shock. Target (TGT) +7.5% on earnings beat. CrowdStrike beats after the bell.

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MIB: PCE Re-Accelerates, Consumer Confidence Craters, and Nvidia Defies the Macro

By RecessionALERT on February 25, 2026 in Reflections

Nvidia reported Q4 EPS of $1.62 (est. $1.53) with revenue of $68.1B and guided Q1 to $78B — sending shares +6% after-hours on a near-record beat. Markets shrugged off Trump’s SOTU optimism as economists warned the SCOTUS tariff reversal won’t translate to lower consumer prices. December PCE Core re-accelerated to 3.0% YoY — the Fed’s preferred inflation gauge moving in the wrong direction and eliminating any realistic H1 rate cut. Silver surged 3.4% to near $90/oz while First Solar cratered 18% on a brutal guidance miss. S&P 500 +0.81%, Nasdaq +1.26%.

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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.