Stock Soars to 455th Rank on 95% Trading Volume Surge

On September 19, 2025, The saw a significant surge in trading activity, , . , indicating heightened investor interest or short-term liquidity shifts.

The back-test parameters require precise definitions to ensure alignment with the intended strategy. Key considerations include the universe of securities—whether to focus on U.S.-listed common stocks (excluding ADRs, ETFs, and preferred shares) or adopt a broader scope. Additionally, the ranking methodology for the top 500 stocks by trading volume must be clarified: should it be based on share volume alone or dollar volume (volume multiplied by price)? The timing of execution, , and will also shape the test’s outcomes.

Implementation details such as holding periods and trade execution conventions are critical. For instance, if the strategy involves buying the top-500 stocks at the next day’s open following a close-based ranking, this must be confirmed. Weighting—whether equal, volume-based, or dollar-based—will further influence . The inclusion of a benchmark and like commissions or slippage remains optional but could enhance the test’s realism.

To run this back-test robustly I need to pin down a few practical details and make sure the test matches what you have in mind.

1. Universe • Should we limit ourselves to all U.S.-listed common stocks (NYSE + Nasdaq) or a different universe? • ADRs, ETFs and preferred shares would normally be excluded—please confirm.

2. “Top 500 by daily trading volume” • Do we rank by share volume or by dollar volume (volume × price)? • Ranking is done after the market close, so the first time we can trade is the next day’s open. Is that acceptable?

3. Holding period of “1 day” • Standard implementation is: – Day t: compute the ranks after the close. – Day t + 1: buy the top-500 names at the open, exit them at that day’s close. • If you prefer a different convention (e.g., buy at Day t close, sell at Day t + 1 close) let me know.

4. Weighting scheme • Equal-weight across the 500 names is typical. • If you prefer volume- or dollar-weighting, please specify.

5. Benchmark / cost assumptions • Any benchmark to compare against? • Commissions or slippage to include?

Once I have this information I can set up the data-retrieval plan and run the back-test from 2022-01-03 (first trading day of 2022) through today’s close.