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Caterpillar Inc. , , ranking 109th among U.S. stocks by volume. The move followed a mix of sector-specific developments and operational updates that influenced investor sentiment toward the heavy machinery manufacturer.
Analysts noted that market activity was driven by renewed focus on infrastructure spending projections, which directly impact Caterpillar’s core markets. Recent government announcements on transportation and energy projects in key regions bolstered expectations for sustained demand for construction and mining equipment. Additionally, were highlighted in internal communications, signaling potential for near-term production efficiency gains.
Technical indicators showed mixed momentum, with short-term traders capitalizing on the stock’s breakout above a . However, institutional positioning remained cautious, as reflected in relatively balanced options activity across strike prices. The absence of major earnings surprises or regulatory risks further stabilized the stock’s trajectory compared to broader market volatility.
To run this back-test accurately I need to clarify a couple of practical details so that the data we pull (and the position-selection logic we code) match your intent: 1. Universe to rank • Should we rank every U.S. listed common stock (NYSE + NASDAQ + AMEX), or would you prefer a narrower universe such as the constituents of the Russell 3000, S&P 1500, etc.? • If you already have a daily list of the “top-500-by-volume” tickers for each day, let me know—then we can ingest that directly rather than recomputing volumes for thousands of names. 2. Trade price convention • Buy at today’s close and sell at tomorrow’s close (most common), or • Buy at tomorrow’s open and sell at tomorrow’s close? 3. Transaction costs & risk controls • Should we assume zero commissions/slippage, or apply a round-trip cost (e.g., 5 bp each side)? • Any stop-loss, take-profit, or maximum holding-days limit beyond the fixed one-day hold? Once these points are finalized I’ll generate the data-retrieval plan, pull the required volume and price data, and run the back-test.

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