The's $270M Volume Plunges to 384th Rank as Sector-Wide Jitters Emerge

On September 9, 2025, , ranking 384th in the market. Meanwhile, .

A Michigan court’s dismissal of criminal charges against 15 individuals linked to the 2020 election’s "fake elector" scheme has sparked debate over legal accountability for election-related misconduct. Judge ruled that prosecutors failed to establish criminal intent, emphasizing that the defendants’ actions were framed as constitutional redress for perceived election irregularities. The decision aligns with broader in similar cases across Nevada, Arizona, and Wisconsin, where efforts to hold election participants accountable have faced procedural hurdles or dismissals.

Michigan Attorney General criticized the ruling as a setback for democracy, arguing the defendants knowingly misrepresented election outcomes. However, defense attorneys and framed the verdict as a vindication of their constitutional rights. The outcome does not directly impact The’s stock, but broader legal uncertainties surrounding election-related litigation could influence market sentiment in politically sensitive sectors.

To set up this back-test accurately I need a few additional details: 1. Universe of stocks • Should the ranking be done across the entire U.S. equity market (all listed stocks), only the S&P 500 constituents, or another universe? 2. Ranking metric • “Daily trading volume” in number of shares, or in dollar volume (shares × price)? 3. Trade execution assumptions • Buy at today’s close and sell at tomorrow’s close (close-to-close return)? • Or buy at tomorrow’s open and sell at tomorrow’s close (close-to-open-to-close)? 4. Position sizing • Equal-weight the 500 names each day? • Or weight by traded volume, market-cap, etc.? 5. Transaction costs • Any commission/slippage assumptions to include? 6. Risk or leverage constraints • For example maximum position weight, stop-loss, etc., or assume none. Once we lock down these details I can build the data-retrieval plan and run the back-test.