KDP Stock Rises 1.11% on Strategic Shift and Supply Chain Gains Ranked 190th in U.S. Dollar Volume

. 17, , . equities. The stock's performance coincided with renewed investor focus on beverage sector consolidation dynamics and supply chain efficiency metrics. Analysts noted that the move reflected broader market confidence in the company's strategic shift toward premium coffee pod differentiation amid intensifying competition in single-serve beverage markets.

Recent filings highlighted management's emphasis on optimizing manufacturing capacity utilization, . . . , with suggesting consolidation patterns ahead of potential Q4 earnings announcements.

To run this back-test rigorously I need to pin down a few implementation details and confirm some assumptions: 1. Universe • Should I interpret "top 500 stocks" as the 500 U.S.-listed equities with the highest dollar trading volume on each trading day? • Or do you have a different market/universe (e.g., all NYSE-listed, all NASDAQ-listed, specific region, etc.)? 2. Weighting & execution convention • Equal-weight the 500 names each day, buying at that day’s close and selling the next day’s close (i.e., 1-day holding period, daily rebalance)? • Any transaction-cost assumptions (commissions, slippage) you want applied, or treat it as frictionless? 3. Risk controls • Should we include any stop-loss, take-profit, or maximum drawdown constraints, or leave those off? 4. Benchmark / performance metrics • Do you need comparison versus a particular benchmark (e.g., S&P 500) or just stand-alone strategy statistics? Once these points are confirmed I can generate a data-retrieval plan, fetch the required data and run the back-test.