Infosys Slides 0.62% on 62% Volume Drop Ranks 467th in U.S. Trading Activity

On September 18, 2025, , , . , signaling muted investor engagement during the session.

Recent developments highlight a strategic shift in the company’s focus toward AI-driven solutions and cloud infrastructure. A newly announced partnership with a leading European tech firm aims to accelerate deployment of generative AI tools for enterprise clients, though analysts note implementation timelines remain vague. Meanwhile, , driven by delayed project completions in North America. The firm reiterated its 2025 guidance, emphasizing cost optimization measures to offset margin pressures.

Market sentiment remains cautious as sector-wide concerns persist over macroeconomic headwinds. , execution risks—such as staffing challenges in high-demand technical roles—continue to weigh on near-term growth prospects. , according to latest filing data.

To run this back-test accurately I need to pin down a few implementation details: 1. Market universe • Do you want all U.S.–listed common stocks (NYSE + NASDAQ), or another market? 2. Trade execution assumptions • Enter positions at the day’s close and exit at the next day’s close (equal-weighted), correct? • Any transaction-cost or slippage assumption to include? 3. Weighting • Equal weight across the 500 names each day, or something else? 4. ? Once I have these items I can generate the daily buy/sell lists, create the portfolio return series, .