Walmart’s Stock Slumps 1.07% as $1.64B Volume Slides to 63rd in U.S. Liquidity Rankings

On October 1, 2025, Walmart (WMT) closed at a 1.07% decline with $1.64 billion in trading volume, ranking 63rd among U.S. equities by liquidity. The stock’s performance came amid mixed market sentiment toward retail sector fundamentals and macroeconomic signals.

Recent developments highlight Walmart’s strategic focus on e-commerce expansion and cost-cutting measures, with analysts noting the company’s aggressive investment in automation to counter rising labor costs. Meanwhile, consumer spending patterns remain under scrutiny as inflationary pressures persist, though Walmart’s discount retail model appears to retain pricing advantages over premium rivals.

Market participants observed that Walmart’s supply chain resilience—bolstered by recent supplier diversification initiatives—has mitigated some risks from global trade volatility. However, near-term challenges include inventory management amid shifting holiday shopping trends and competitive pricing wars in key product categories.

To run this back-test properly we need to generate, every single trading day, a list of the 500 most actively-traded stocks in the target universe, buy them (equal-weighted or volume-weighted) and close the position one session later. The current in-chat tool set is designed for a single-ticker back-test, so a true multi-stock, daily-rebalanced portfolio cannot be executed directly with it. Before I suggest a workaround, could you clarify a couple of points? 1. Universe – US listed equities only, or a different market? 2. Weighting – equal weight, volume weight, or something else? 3. Trade price – buy at today’s close and sell at tomorrow’s close (standard “1-day hold”), or open-to-open? Once I know those details I can propose either: • A simplified proxy (e.g. use a broad ETF/index as a surrogate), or • An outline for an offline back-test you can run locally.