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On September 18, 2025, , , ranking 72nd among U.S. stocks by volume. The move followed renewed institutional interest in its hybrid cloud infrastructure solutions and long-term contracts with major financial clients. Analysts noted that the stock’s performance aligned with broader sector rotation into AI-ready enterprise technologies, though liquidity levels remained below average compared to its 90-day trading range.
Recent developments highlighted IBM’s strategic pivot toward AI integration within its cloud ecosystem, including a $2 billion investment in
partnerships. While short-term volatility persisted due to mixed guidance from third-party consultants, , reinforcing investor confidence in its transformation roadmap.To set up this back-test I need to pin down a few practical details that aren’t fully specified yet: 1.
• “all stocks” can mean U.S. listed common shares, ADRs, ETFs, etc. • A typical default is the liquid U.S. common-stock universe (roughly 3,000 names). • Alternatively we could work inside a benchmark universe such as the current S&P 500 or Russell 1000. 2. Ranking field & price points • I will rank by the day’s total share volume (not dollar volume) unless you prefer otherwise. • Entry price: today’s close; exit price: tomorrow’s close is the standard convention for a one-day hold. • If you prefer open-to-open or close-to-open, let me know. 3. Transaction costs / slippage • If you’d like to include explicit costs, please tell me the rate (e.g., 2 bps per side). 4. Risk management • With a one-day holding period this usually isn’t applied, but I can add a max drawdown or stop-loss if desired. Please let me know (a) which universe you’d like, and (b) if the default assumptions above are acceptable. Once I have that, I’ll set up the data-retrieval plan and run the back-test.
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