CrowdStrike’s $1.33B Volume Plummets to 77th in U.S. Equities Amid Strategic Shift in Cloud-Native Security

. 23, 2025, . . equities, reflecting subdued liquidity despite its market capitalization position.

Recent developments surrounding the company include a strategic shift in its cloud-native security architecture, announced in early September. The firm unveiled a unified platform integrating endpoint protection with cloud workload security, positioning itself to capture cross-sector demand for hybrid infrastructure solutions. Analysts noted the move aligns with broader industry trends toward converged security models but emphasized execution risks in scaling the new framework.

Share price volatility has been tempered by macroeconomic uncertainty, . While CrowdStrike’s product roadmap remains robust, .

To run this back-test accurately I’ll need to pin down a few implementation details about the strategy universe and the execution assumptions. Could you please confirm (or let me know your preferences on) the following points? 1. Universe to rank each day • All U.S. common stocks (NYSE + NASDAQ + AMEX) • Or a narrower universe (e.g., current S&P 1500 constituents) 2. “Volume” definition used for the ranking • Raw share volume • Dollar volume (share volume × close price) 3. Execution price / holding period mechanics • Buy the selected names at today’s close and exit tomorrow’s close • Buy next day’s open and exit next day’s close (either is fine – just let me know which you prefer) 4. Transaction cost assumptions (commission + slippage) • If you have a specific figure in mind, let me know; . Once these are clarified I’ll generate the data-retrieval plan, run the signal generation, and feed the trade file into the back-test engine.