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MIB: Triple Catalyst Day — Iran Ceasefire Crashes Oil, Record Bank Earnings Lift S&P Past 7,000, Trump Threatens Fed Independence

By RecessionALERT on April 15, 2026 in Reflections

Trump threatens to fire Powell by May if he doesn’t resign, rattling bond markets. Oil crashes 7.87% as Iran ceasefire extended — Trump says war ‘very close to over.’ Fed Beige Book warns gas at $4/gallon and hiring freezes spreading. IEA sees first global oil demand decline since COVID. S&P 500 hits record 7,022 — above 7,000 for the first time. Tesla rockets 8% on AI5 chip milestone (UBS upgrades from Sell). BAC, MS, BLK all post record/near-record Q1 earnings.

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MIB: Stagflation Trap — Iran Sends Oil Past $101 While Google’s AI Crushes Semis and Meta Faces $Billions in Verdicts

By RecessionALERT on March 26, 2026 in Reflections

Iran denies US peace talks, pushing Brent crude past $101 and extending the Hormuz chokehold. Google’s TurboQuant crushed semiconductor stocks (LRCX -9.4%, AMAT -8.3%, AMD -7.5%, MU -7%). Meta shed 8% on a landmark social media addiction verdict. Nasdaq entered correction territory (-10%). OECD raised US inflation forecast to 4.2% for 2026, highest in G7. BlackRock downgraded US equities to neutral as stagflation fears mount.

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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.