Roblox Plummets 3.38 as $0.69 Billion Volume Slips to 155th in U.S. Rankings

On September 23, 2025, , , . . equities, reflecting reduced liquidity and investor engagement compared to recent sessions.

Analysts noted that the followed a broader market rotation into value sectors, with growth names like Roblox facing renewed pressure. While no direct corporate developments were cited as catalysts, the stock’s underperformance aligned with macroeconomic concerns over inflationary risks and central bank policy uncertainty, which have historically weighed on .

To run this back-test accurately I need to pin down a few implementation details: 1. Universe • Do you want to use all U.S. listed common stocks (NYSE + NASDAQ), or a different universe (e.g., only S&P 500 constituents, only NASDAQ, etc.)? 2. Entry & exit prices • Buy at today’s close and sell at tomorrow’s close (standard close-to-close holding period), or buy at next day’s open and sell at next day’s close (open-to-close)? 3. Rebalancing mechanics • Each trading day we re-rank by that day’s volume, buy the top 500, and fully exit all positions the following day (i.e., no overlapping positions), correct? 4. Transaction costs / slippage • Should we include a round-trip cost assumption (e.g., 2 bps each side), or ignore trading costs? Let me know these points (or any other constraints) and I can proceed to build the data-pull and run the back-test.