Hilton Climb 0.84% as $480M Volume Nudges It to 248th Rank

Hilton Worldwide (HLT) closed 0.84% higher on October 2, with a trading volume of $480 million, ranking 248th in U.S. equity market activity for the day. The stock's modest gain came amid mixed investor sentiment toward the hospitality sector as broader market indices showed uneven performance.

Analysts noted limited catalysts for the move, with no major earnings releases or strategic announcements from the company. However, sector-specific factors such as seasonal demand trends and macroeconomic indicators for travel spending remain under close scrutiny. Institutional investors accounted for a significant portion of the volume, though no definitive large-scale positioning shifts were reported.

To run this test rigorously we need to settle a few practical details that will determine how the back-test is implemented: 1. Universe & data source • “Top 500 stocks by daily dollar volume” needs a complete daily volume ranking across the entire US equity universe (≈ 7,000 names). • Our current tool-set can back-test a single ticker or evaluate event dates on a single ticker, but it does not natively build a multi-security portfolio day-by-day. • We therefore need to choose an approximation (e.g., use an existing broad-market ETF or index, or focus on a predefined basket) or switch to a more specialised portfolio back-testing environment. 2. Trade timing & price convention • Buy at the close, sell at the next day’s close? • Buy at next day’s open, sell at that same day’s close? • Slippage/transaction costs? 3. Rebalancing frequency • Strictly every trading day (implied by “holds them for 1 day”)? 4. Output format • Aggregate portfolio return curve and summary statistics (CAGR, volatility, max drawdown, etc.). Please let me know which of the following you’d prefer: A. Accept an approximation such as back-testing a liquid broad-market ETF (e.g., SPY) instead of the daily-reconstructed 500-name basket. B. Provide (or allow me to import) a list of tickers, then run an “event” back-test on each and aggregate the results (more involved, limited by tool capacity). C. Pause here and switch to a full portfolio back-test platform outside our current tool-set. Once I have your preference—and the price convention—we can proceed or point you toward the best alternative.