United Airlines Shares Drop 3.47% in Steepest Slide Since Regulatory Change, $590M Turnover Ranks 214th in U.S. Markets
On October 1, 2025, United AirlinesUAL-- (UAL) closed with a trading volume of $590 million, ranking 214th in total turnover among U.S.-listed stocks. The shares fell 3.47% to mark their steepest decline since a key regulatory filing adjustment earlier this year.
Analysts attributed the drop to heightened sector volatility amid shifting fuel price forecasts. A recent industry report highlighted potential margin compression as crude oil futures dipped below $65/barrel for the first time in three months, triggering hedging strategy reassessments across major carriers. The move follows a broader selloff in air travel stocks, with sector benchmarks shedding 1.8% on growing macroeconomic uncertainty.
Operational updates also contributed to the decline. A revised capacity guidance from United indicated a 4.2% reduction in transcontinental flight slots for Q4 2025, signaling strategic reallocation toward short-haul domestic routes. While the adjustment aligns with industry trends toward cost optimization, traders noted the timing coincided with investor skepticism over Q3 earnings visibility.
To run this back-test accurately I need a little extra information: 1. Market universe • Do you want the ranking done over all U.S.–listed common stocks (NYSE/Nasdaq/NYSE Arca)? • Or a different universe (e.g., only S&P-500 constituents, only ADRs, a specific country, etc.)? 2. Trade mechanics • Should the portfolio be equally-weighted across the 500 tickers each day? • Do you want to buy at that day’s close and sell at next day’s close (the usual approach for a 1-day hold) or use open prices? 3. Practicality note Our built-in back-testing engine assumes one instrument per test. To evaluate a 500-stock daily-rebalanced portfolio, I would (a) build the composite portfolio return series offline, then (b) feed those daily returns into the engine as a “virtual ticker.” That is feasible, but please confirm you’re happy with that approach. Let me know your preferences and I’ll proceed with the data pull and back-test.

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