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On September 18, 2025,
(AAL) closed with a 0.80% increase, achieving a trading volume of $1.41 billion, ranking 70th among U.S. stocks in terms of liquidity. The stock’s performance reflected a mix of sector-specific dynamics and broader market sentiment.Recent developments highlighted the airline’s exposure to fuel cost volatility and regulatory scrutiny. A proposed industry-wide fuel efficiency initiative, if approved, could significantly alter operating margins for carriers. Additionally, a shift in consumer demand toward leisure travel over business trips has driven short-term gains, though analysts caution about long-term sustainability amid economic uncertainties.
Market participants also noted the impact of geopolitical tensions on transatlantic routes, with rerouted flights and capacity adjustments contributing to operational challenges. While American Airlines has not disclosed specific contingency plans, competitors have begun reallocating resources to mitigate similar risks.
To run this back-test rigorously we need to build a daily, cross-sectional portfolio (500 stocks per day, equal-weighted, rebalanced each day). The current tool-set I can invoke from this chat is designed for single-ticker or single-event back-tests, so it can’t yet simulate a multi-asset daily-rebalanced strategy of this scale in one shot. Before I explore possible work-arounds, could you confirm a few points? 1. Universe – do you want all U.S. listed common stocks (NYSE + NASDAQ + AMEX) or a different universe? 2. Weighting – equal dollars in each of the 500 names every day? 3. Return calculation – enter at today’s close, exit at tomorrow’s close (i.e., one-day holding period)? 4. Are you open to a simplified approximation (e.g., testing the idea on an index or ETF proxy), or would you prefer to wait until I provide a full custom solution outside the current tool limits? Let me know your preference and I’ll map out the most effective next step.

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