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On October 9, 2025,
closed with a 2.47% decline, trading with a volume of $0.41 billion, a 20.87% drop from the previous day. The stock ranked 273rd in trading volume among U.S.-listed equities, indicating reduced liquidity and investor engagement compared to recent levels.Recent developments affecting SLB include adjustments in market positioning and sector rotation dynamics. Analysts noted that energy services stocks faced renewed pressure amid evolving macroeconomic signals, with SLB's valuation metrics coming under scrutiny as investors reassessed long-term exposure to cyclical industries.
Portfolio rebalancing activity showed mixed signals for the energy sector, with institutional flows favoring defensive positions over high-beta plays. While no direct earnings reports or corporate announcements were disclosed, broader market sentiment toward capital-intensive industries contributed to the downward trend in SLB's share price.
To run this back-test rigorously I need to clarify a few practical details: 1. Market universe • Which exchange(s) do you want to scan for the “top-500 by trading volume” each day – e.g. all U.S. listed stocks (NYSE + NASDAQ) or a narrower universe such as the S&P 1500 constituents? 2. Price used for entry/exit • Enter at that day’s close and exit at next day’s close, or use another convention (e.g. next-day open)? 3. Weighting method • Equal weight across the 500 names, or volume-proportional weights, or something else? 4. Data vendor / survivorship bias • Is free end-of-day pricing acceptable, or do you have a preferred data source? Once I have this information I can automatically generate the daily rebalance signals, run the portfolio back-test from 2022-01-01 to today, and deliver detailed performance statistics and charts.

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