United Surges to 146th in Daily Trading Volume Amid Sector Volatility

On September 17, 2025, , . The company's shares closed lower alongside broader market declines, .

Recent market activity for United appears influenced by sector-specific volatility in supply chain infrastructure stocks. While no direct earnings or strategic announcements were disclosed in the available materials, cross-sector capital reallocation patterns suggest renewed investor scrutiny of logistics sector valuations. The surge in trading volume contrasts with muted price movement, indicating potential position adjustments rather than directional bets.

Market participants are advised to monitor upcoming and seasonal demand cycles, which traditionally drive volatility in . The current volume spike suggests increased liquidity provider activity, though its persistence remains to be seen as macroeconomic indicators continue to shape risk appetite.

To run this test rigorously I need to clarify a few practical details and ensure the request fits within the capabilities of our current back-test engine. 1. Market universe: Is the universe all U.S. listed common stocks (NYSE + NASDAQ), or something else? 2. "Top 500 by daily trading volume": Do you want the list reselected every trading day (i.e., a fresh top-500 each day), or a one-time list chosen at the start of the period? Equal-weight each day, correct? 3. Price assumption for entry/exit: Buy at today’s close, hold one day, sell at tomorrow’s close (typical overnight hold)? Or buy at tomorrow’s open, sell at tomorrow’s close, etc. 4. Engine limitation: Our in-platform back-test engine currently evaluates a single price series at a time. For multi-stock baskets we need to synthesize a daily "portfolio index" (equal-weight performance of the day’s 500 names) and then feed that synthetic series to the engine. I can build that index, but it does add one extra data-gathering step. Let me know your preferences on 1-3. If that looks good I’ll proceed to: Generate a retrieval plan for daily volume & prices of the full universe, Construct the daily top-500 equal-weight portfolio index, Run the back-test from 2022-01-01 through the present, and Present the results with an interactive chart and key statistics.