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AI analyzes stock trends
A recent study from the University of Chicago in the United States has shown that artificial intelligence models can interpret stock price movements following earnings announcements with an accuracy of up to 17%, surpassing the traditional "earnings surprise" metric, which explains only 5% of such movements. The study relies on the ability of AI models to predict and record observations in digital notebooks, analyzing approximately 2,000 earnings reports from various companies at the end of 2025. However, precise predictions of market fluctuations remain challenging, as most market changes after the announcement remain unexplained. Nonetheless, AI has increased interpretative capacity to around 20%, compared to 8% previously.
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