Netflix Stock Surges 2.33% on $4.22 Billion Volume Ranks 16th in U.S. Trading Activity

On September 17, 2025, , . market activity. The performance followed a strategic shift in content distribution that reduced server costs while expanding global streaming capacity, a move analysts noted could stabilize margins amid rising production expenses.

, driven by localized original programming and tiered pricing adjustments. , offsetting inflationary pressures on creative budgets. While no new service launches were announced, the focus on operational efficiency reinforced investor confidence in long-term profitability.

To run this back-test accurately I need to clarify a few practical details: 1. Universe • Which market do you want the “top-500 by trading volume” selected from (e.g., all U.S. listed stocks, only S&P 500 constituents, another region)? 2. Re-balancing rule • My default would be: at each trading day’s close we rank stocks by that day’s dollar volume, buy an equal-weighted basket of the top 500, and liquidate the basket at the next day’s close (holding period = 1 trading day). • Is that what you have in mind, or do you prefer buying at the next day’s open and selling at that day’s close? 3. Transaction costs / slippage • Should we ignore them, or apply a standard assumption (e.g., 5 bp each side)? 4. Data granularity • Are daily OHLCV data acceptable? Once I have this information I can generate the data-retrieval plan and run the back-test.