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. 18, , ranking 490th in market activity. The stock's movement appears tied to industry-specific developments, though broader market sentiment remained neutral.
Recent reports highlight logistical constraints impacting raw material supply chains for steel producers. A major U.S. steelmaker announced temporary production cuts at two Midwest facilities due to railcar shortages, exacerbating concerns over short-term output volatility. Analysts noted these operational hiccups could pressure near-term earnings but emphasized long-term demand stability from infrastructure projects.
Regulatory updates also influenced market perception. A federal court upheld a 2024 tariff extension on imported steel products, reinforcing pricing power for domestic manufacturers. However, trade groups have filed appeals, creating uncertainty over policy durability. Market participants are closely monitoring pending litigation timelines.
To run this back-test accurately I need to settle a few practical details: Universe • Do we restrict the selection to U.S. listed common stocks (NYSE + NASDAQ), or do you have a different universe in mind? Entry / exit prices • Should we buy the 500 names at that day’s close and sell them the next day at the next close (close-to-close return), or use the open of the next day for the exit? Weighting and re-balancing • Equal-weight across the 500 names each day? • Re-balance daily (i.e., a completely new top-500 list every trading day)? Trading frictions • Should we include commission or slippage assumptions? If so, what rates? Tool limitation (important) • Our current back-test engine evaluates one ticker at a time. To handle a 500-stock daily-rebalanced portfolio we need to aggregate the individual returns into a composite “synthetic index” first, then test that index. • Are you comfortable with this approach, or would you prefer narrowing the request (e.g., testing a representative subset or a specific ETF) instead?

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