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On October 3, 2025,
(NOW) closed with a 0.25% gain despite a 22.64% decline in trading volume to $1.06 billion, ranking 99th in dollar volume among U.S. equities. The stock’s performance followed a strategic update highlighting its AI-driven platform enhancements, which analysts noted could bolster long-term client retention amid competitive pressures in enterprise software.Recent developments centered on ServiceNow’s Q3 roadmap announcement, emphasizing expanded integration with third-party AI tools and a new low-code workflow module. While the company avoided specific revenue guidance, executives reiterated confidence in maintaining its 25%+ annual cloud service growth rate. Market participants interpreted the muted volume as a sign of cautious positioning ahead of Q3 earnings, with some observers pointing to the stock’s 52-week range as a factor limiting immediate momentum.
To run this back-test accurately I need a couple of extra details: 1. Market universe – do you want all U.S. listed common stocks, or a specific index constituency (e.g. Russell 3000, S&P 1500, etc.) to be the pool from which the daily “top-500-by-dollar-volume” are selected? 2. Transaction assumptions – should the trade price be that day’s close (i.e. buy at today’s close, sell at tomorrow’s close), or another price point (open-to-open, VWAP, etc.)? 3. Costs – should we assume zero slippage/commissions, or include per-trade costs? Once I have those points I can generate the data retrieval plan and launch the back-test.
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