West Surges 3.34% on Strategic Logistics Shift and Cost Cuts as $270M Volume Ranks 416th in U.S. Liquidity

. 11, , ranking 416th in terms of liquidity among U.S.-listed stocks. The move followed a strategic pivot in its marine logistics division, which announced expanded partnerships with three major Asian shipping conglomerates to streamline supply chain operations. Analysts noted the development could enhance the company’s market share in the Pacific trade corridor, though the stock’s performance remained sensitive to broader macroeconomic uncertainties.

Recent corporate actions highlighted West’s focus on cost optimization. , driven by automation investments in port management systems. While the update was well-received by investors, . A separate regulatory filing revealed the company is exploring asset divestments in underperforming European subsidiaries, .

To run this back-test robustly I need a few extra details that will materially affect the results: 1. Stock universe • Do we rank all U.S. listed common stocks, only the S&P 500 constituents, or another universe? 2. Trade timing • Shall we use the prior day’s volume, buy the 500 names at next-day open and exit at that day’s close (a 1-day holding period)? • Or buy at the same-day close and exit at next-day close? 3. Position sizing • Equal-weight each name every day (most common for this type of study), or capital-weight by volume/dollar value? 4. Frictions • Should we assume zero transaction costs/slippage, or add a default (e.g., ? If you’re happy with the following default set-up I can proceed immediately: • Universe: all U.S. listed common stocks with available data • Selection time: rank by day-t volume, buy at next-day open, sell at that day’s close • Equal-weight across the 500 names each trading day • No transaction costs Let me know if you’d like any changes; otherwise I’ll start pulling the data and run the test.