PepsiCo's 0.35% Decline and $0.86 Billion Volume Rank 131st as Regulatory Delays and Shifting Consumer Trends Weigh

PepsiCo (PEP) closed on Sept. , , . equities by dollar volume. The stock’s performance followed a mixed session influenced by earnings expectations and sector positioning shifts. Analysts noted limited catalysts in the immediate term, with focus shifting to Q3 guidance ahead of the October reporting window.

Recent developments highlighted potential headwinds for the beverage and snack giant. A regulatory update in Brazil delayed the approval of a key sugar tariff adjustment, raising input cost risks for its Latin American operations. Meanwhile, a shift in consumer spending trends toward , as reported by third-party market researchers, prompted short-term volatility. reduced exposure to the stock midweek, per exchange filings, reflecting caution ahead of releases in late September.

To run this back-test rigorously I’ll need to pin down a few practical details: 1. Market universe • Are you interested in U.S.–listed equities only, or a different market/universe? • Should the universe be restricted (e.g., to stocks with a minimum price or market-cap) to avoid tiny illiquid names that sometimes show huge “volume” prints? 2. Ranking & portfolio construction • Each trading day, do we simply: – rank all eligible stocks by that day’s dollar-volume (price × shares) or share-volume? – buy the top-500 names at the next day’s open, equally-weighted? • And sell them all at the same day’s close (i.e., a 1-day holding period)? 3. Practical assumptions • Slippage/transaction costs: if you have a standard assumption, let me know; otherwise I’ll default to zero so we can see the raw strategy edge first. • Data frequency: daily bars (open/close) are usually sufficient for this type of test. If you want intraday, please specify. 4. Benchmark • Would you like to compare performance against a specific index (e.g., S&P 500) in the final report? Once those points are confirmed I can generate the data-retrieval plan, assemble the daily trading signals, and run the back-test.