Starbucks Rises 0.24% on $590M Volume as 194th-Busiest U.S. Stock Amid Supply Chain Challenges and Strategic Dairy Pact

. 18, , . equities. The stock's performance followed a mixed earnings report highlighting regional sales growth but tempered by supply chain pressures in key markets. Analysts noted that the company's focus on menu innovation and digital engagement partially offset concerns over rising commodity costs.

Recent developments included a strategic partnership with a U.S.-based dairy supplier to secure pricing stability, which investors interpreted as a positive signal for margin resilience. However, same-store sales in China, a critical growth market, declined year-over-year, prompting cautious sentiment. , suggesting increased short-term speculative interest.

To run this back-test accurately we would have to: (1) Retrieve daily trading-volume data for every stock in the investable universe (e.g., all U.S. common shares); (2) Rank the stocks each day, pick the 500 highest-volume names, buy them (specify whether we trade at the open or the close), then exit the next trading day; (3) Aggregate the daily P&L of all 500 positions into a single portfolio return series and calculate the strategy statistics. The current back-testing tools in this workspace work on a single ticker (or an index/ETF) at a time, so they are not set up to run a dynamic 500-stock portfolio out of the box. We have two possible ways to proceed: A) Narrow the scope (e.g., restrict the universe to a predefined index such as the Russell-3000 or even S&P-500 and approximate with an ETF), or B) Break the task into a larger custom research project that exports volume data for every stock and constructs the day-by-day portfolio externally (which would require bespoke scripting outside the built-in tools). Could you let me know: • Which market/universe do you have in mind (U.S. equities, another market, or a specific index)? • At what price do you want to transact (next day open, same-day close, VWAP, etc.)? • Are you comfortable with an approximation (for example, using an ETF or a subset of liquid large-cap stocks), or do you need the full 500-stock daily rebalance? Once I have that information I can advise on the most practical implementation path.