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On September 25, 2025,
(META) closed with a 1.54% decline, trading at a volume of $7.94 billion, ranking ninth in market activity for the day. The stock’s performance followed a mixed session across tech sectors, with investors reassessing exposure amid broader market volatility.The drop in Meta’s share price coincided with a broader pullback in large-cap technology stocks, though no specific earnings reports, regulatory updates, or product announcements directly tied to Meta were disclosed in the provided data. Analysts noted that the stock’s volume surge—despite the price decline—suggested heightened short-term trading activity, potentially driven by algorithmic strategies or position adjustments ahead of quarterly reporting seasons.
To run this back-test rigorously, I need to firm-up a few implementation details that aren’t fully specified yet. Could you please confirm (or let me know any changes)? The framework includes defining the universe of stocks, volume ranking criteria, trade timing assumptions, weighting methods, and cost parameters. Default settings will be applied if no adjustments are requested, ensuring the analysis aligns with standard market behavior and liquidity patterns observed on September 25, 2025.

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