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November 20, 2025, represents an inflection point in financial markets. For the first time, algorithmic trading systems detected accounting fraud faster than human analysis. The 18-hour reversal from post-earnings euphoria to negative market territory reflects machine intelligence processing financial statement footnotes, calculating deviation from industry norms, and executing trades before human analysts completed their models. This speed creates new dynamics in how frauds are discovered and markets adjust. Historical frauds—Enron, WorldCom, Lucent—required months or years between initial warning signs and market recognition. Algorithmic detection compresses that timeline to hours.

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November 20, 2025, represents an inflection point in financial markets. For the first time, algorithmic trading systems detected accounting fraud faster than human analysis. The 18-hour reversal from post-earnings euphoria to negative market territory reflects machine intelligence processing financial statement footnotes, calculating deviation from industry norms, and executing trades before human analysts completed their models. This speed creates new dynamics in how frauds are discovered and markets adjust. Historical frauds—Enron, WorldCom, Lucent—required months or years between initial warning signs and market recognition. Algorithmic detection compresses that timeline to hours.
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Mike McCaffrey (mikemccaffrey@wandering.shop)'s status on Sunday, 23-Nov-2025 06:12:54 JST Mike McCaffrey
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@cstross I love how even the stories of massive fraud in the #AI market can't help but push the same stupid machine learning hype that created the #AIBubble in the first place, as if 18 hours isn't enough time for human experts to find fishy numbers in a company report that everyone knows must contain fishy numbers.
https://substack.com/inbox/post/179453867

In conversation about 10 months ago from wandering.shop permalink