Parker Hannifin's 1.41% Slide as $0.35 Billion Volume Ranks 280th Amid 30.87% Value Drop

. 12, . , reflecting reduced investor engagement despite its position as a major industrial components supplier.

Analysts highlighted mixed signals in the sector, with investors recalibrating positions amid shifting and manufacturing demand. While no direct earnings reports or earnings guidance were cited, broader macroeconomic factors—including interest rate expectations and supply chain adjustments—appeared to influence the stock’s trajectory. The drop in volume suggested temporary caution among traders, though long-term fundamentals for industrial equipment remain stable.

To run this back-test accurately I need to clarify a few points and be sure the set-up matches the capabilities of our back-testing engine: 1. Universe • Which market / exchange should we draw the “top-500-by-volume” list from (e.g., all U.S. common stocks, only those in the S&P 500, all NASDAQ-listed, etc.)? 2. Re-balancing convention • Do we form the list at the close of day t (using that day’s volume), buy those names at the next day’s open, and exit all positions at that next day’s close? • Or do you prefer another entry/exit price convention (e.g., buy and sell using the same day’s close)? 3. Treatment of corporate-action events • Should we assume total-return prices (i.e., prices already adjusted for splits and dividends) or ignore dividend effects? 4. Transaction assumptions • Commissions, bid-ask spread or other slippage to include (if any). Because the current single-ticker back-test engine cannot directly handle a 500-stock rotating portfolio, I will implement it as a daily equal-weight portfolio across the selected stocks and compute the aggregated P&L and risk metrics. Once you confirm the above details, I’ll generate the data-retrieval plan and run the back-test.