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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.

View original at nasdaq.com
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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  • 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
  • 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
  • Long-term outlook for the stock market remains as rosy as ever, regardless of what headwinds are thrown Wall Street's way

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

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

    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
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Enterprise Software Races to Govern and Consolidate Around Agentic AI
Enterprise software vendors are repositioning around autonomous AI agents. Salesforce is acquiring Braze, ServiceNow is launching agent governance tools (AI Passport, Super Intelligence Control Tower), SAP is pushing its 'Autonomous Enterprise', and Zeta is launching AthenaOS and its own inference model. Palantir is embedding itself in banking, aviation and sovereign AI infrastructure through partnerships with Customers Bank, Surf Air, Ondas and Armada. Governance, data sovereignty and enforced policy are emerging as preconditions for regulated sectors like finance. Investors such as Norwest see room to disrupt ERP and finance software, and they caution that AI should not be trusted with financial calculations. Consolidation and shareholder disputes (Salesforce/Braze, Tiny/Oso Cloud, ZenaTech/Boardwalktech) show the market reshaping.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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Where sources disagree
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
We flag conflicts openly ›
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