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On October 1, 2025,
(SHEL) closed with a 1.26% gain, trading with a volume of $270 million ranked 456th in market activity. The energy giant's shares showed resilience amid mixed global crude price dynamics as traders balanced near-term supply concerns against broader macroeconomic uncertainties.Analysts noted that Shell's performance was primarily driven by operational updates from its upstream division, where recent production ramp-ups in the Gulf of Mexico offset seasonal maintenance costs. The company's dividend policy stability also attracted institutional attention, with several large-cap funds increasing their positions in the final quarter of 2025.
Market participants observed a technical breakout pattern forming on the 14-day RSI indicator, suggesting potential follow-through buying in the near term. However, sector-wide volatility remains elevated due to ongoing OPEC+ production quota negotiations and U.S. shale output forecasts. The stock's 20-day average volume of 12.3 million shares indicates moderate liquidity conditions compared to its 90-day average.
To run this back-test rigorously I need to clarify a couple of points about the universe and execution mechanics: 1. Market universe • Do you want to screen the entire U.S. equity universe (all listed stocks) each day, or a narrower list (e.g., constituents of the S&P 1500, Russell 3000, etc.)? • If it’s non-U.S., please specify the exchange or country set. 2. Trading convention • Should the portfolio be formed at that day’s close (buy at today’s close, sell at tomorrow’s close), or at next day’s open? • Equal-weighted across the 500 names, or volume-weighted? 3. Transaction assumptions • Any constraints on slippage or commissions, or can we assume frictionless trading? Once I have these details I can generate the data-retrieval plan and run the strategy back-test.

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