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Source document· January 10, 2026

How Likely Is It That the Stock Market Crashes Under President Donald Trump in 2026? 3 Historically Accurate Correlations Weigh In.

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How Likely Is It That the Stock Market Crashes Under President Donald Trump in 2026? 3 Historically Accurate Correlations Weigh In…
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  • All 106 rolling 20-year periods from 1900 through 2005 would have produced a positive annualized total return for S&P 500

    80% confidence
  • Three historically accurate correlations point to growing possibility of a steep correction, if not a stock market crash, under Trump in 2026

    80% confidence
  • Out of 27 bear markets analyzed, only eight endured for at least one year, with average S&P 500 bear market decline finding its bottom in just 286 calendar days

    80% confidence
  • 14 out of 27 S&P 500 bull markets have lasted longer than the lengthiest bear market (630 calendar days), with average bull market persisting for 1,011 calendar days from September 1929 to June 2023

    80% confidence
  • When you buy the S&P 500 at a 23x P/E, your 10-yr annualized return has always fallen between +2% and -2%, in every case

    80% confidence
  • Since 1950, off the midterm year lows, stocks have never been lower a year later and are up more than 30% on average

    80% confidence
  • Stock Advisor's total average return is 969%, compared to 196% for the S&P 500

    80% confidence
  • S&P 500 experiences larger peak-to-trough corrections during midterm years, with average decline since 1950 standing at 17.5%

    80% confidence
  • Long-term outlook for the stock market remains as rosy as ever, regardless of what headwinds are thrown Wall Street's way

    80% confidence
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Morgan Stanley & Co. LLC
Two significantly different EPS values (10.21 vs 2.68 USD_per_share) are reported for Morgan Stanley on the same observation date (2025-12-31). Fact A specifies FY 2025, while Fact B's 'N/A' fiscal period is ambiguous. If both represent FY 2025 annual EPS, these values directly conflict. The magnitude of the difference (3.8x) is too large to attribute to rounding or minor calculation variations. The missing fiscal period in Fact B raises data quality concerns, but same-date observation + same attribute should reference the same period.
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