IBM's 0.55% Gains Climb Amid 129th Rank in Dollar Volume

IBM closed on Sept. , . The tech giant’s share price movement followed a strategic update emphasizing cloud infrastructure optimization and hybrid AI deployment frameworks, with analysts noting the potential for cost efficiencies in enterprise client contracts.

Recent developments highlighted IBM’s expanded partnership with major financial institutions to integrate AI-driven risk modeling tools, positioning its cloud services as a competitive edge in the Q4 fiscal planning cycle. Market participants observed that the firm’s focus on high-margin software licensing for AI governance platforms could bolster revenue visibility, particularly as regulatory scrutiny over data ethics intensifies across the sector.

To run this back-test accurately I need to pin down a few implementation details that aren’t specified yet. Please confirm (or adjust) the assumptions below: Universe • U.S. listed common stocks across NYSE + NASDAQ (ADRs & ETFs excluded). Volume definition • Rank stocks each day by _dollar volume_ (shares × close price). (If you prefer pure share volume, let me know.) Portfolio construction • Select the top 500 by yesterday’s volume. • Equal-weight the basket each day. Trade mechanics • Enter at today’s close, exit at tomorrow’s close (i.e., one-day holding period). (Alternatively we can use next-day open for either leg – please specify.) Costs & slippage • Ignore trading costs and slippage for the initial run (can add later). If these assumptions are acceptable I’ll generate the data-retrieval plan and run the back-test. Feel free to tweak any item above.