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CrowdStrike Holdings (CRWD) closed at a 1.76% gain on Sept. 26, 2025, with a trading volume of $1.25 billion ranking it 50th in market activity. The cybersecurity firm's performance aligns with broader sector momentum as investors continue to favor defensive plays amid macroeconomic uncertainty.
Analysts noted that CrowdStrike's volume surge reflects strong institutional interest in its AI-driven threat detection solutions, which have gained traction in enterprise markets. The stock's performance remains closely tied to its ability to maintain growth in a competitive cybersecurity landscape, with recent earnings reports highlighting expanded enterprise contract renewals and product pipeline advancements.
To run this back-test properly I need to pin down a few practical details that aren’t fully specified yet: 1. Universe • “All” U.S. listed stocks, or a narrower set (e.g., current S&P 500 constituents)? • Note that a truly all-stock universe involves >5 000 symbols and daily sorting, which may slow execution. 2. Trade timing & pricing convention • Do we buy the basket at today’s close and liquidate at tomorrow’s close, or buy at tomorrow’s open and sell at tomorrow’s close? • Commission / slippage assumptions (if any). 3. Result format • Do you mainly want the aggregate portfolio return curve (equal-weighted basket of the 500 names each day), or stock-level event-study statistics? If you’re flexible, a common, fast-to-compute version is: • Universe: current S&P 500 constituents. • Entry: buy at close on day D (once volume rank is known), exit at close on D+1. • Portfolio: equal-weighted across the 500 selected names each day. • No commissions/slippage (can add later). Let me know if this setup works or tell me your preferred adjustments, and I’ll start the data pull and back-test.

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