Illinois Traders Rank 483rd in $250M Volume as ITW Navigates Aerospace Shifts and Antitrust Scrutiny

. 17, 2025, ranking 483rd in market activity. , reflecting modest performance amid mixed broader market conditions.

Recent developments highlight supply chain adjustments at ITW, with the company announcing a strategic shift in its manufacturing footprint to prioritize U.S.-based production for aerospace components. This move follows rising demand from defense contractors and aligns with the firm's long-term operational efficiency goals. Analysts noted the restructuring could moderate short-term costs but may face execution risks related to workforce retraining.

Separately, regulatory filings revealed ITW is under investigation by federal authorities regarding potential antitrust violations in its industrial fastening systems division. While the company emphasized full cooperation, legal uncertainties have historically led to volatility in similarly situated industrial stocks. Market participants are monitoring upcoming quarterly earnings disclosures for any operational impact.

To run a rigorous back-test I need to clarify a couple of practical points: 1. Universe definition • Which market do you want to draw the “top-500-by-volume” list from each day (e.g., all NYSE + NASDAQ common stocks, S&P 500 constituents, another universe)? 2. Execution convention • Do we enter at today’s close and exit at tomorrow’s close (1-day holding period), or use open-to-close, etc.? • Any transaction-cost assumption to include? 3. Portfolio construction method • Equal-weighting the 500 names each day, or value-weighting by dollar volume? • Do we fully liquidate and rebuild the basket every trading day? 4. Tool-set capability note The current built-in back-test engine handles one ticker (or a predefined index) at a time. For a cross-sectional “500-stock daily basket” strategy we have two options: a) Create a custom benchmark index (synthetic ticker) that tracks the equal-weighted return of the top-500-by-volume basket each day, then feed that synthetic index into the engine. b) Test the concept on a representative subset (e.g., the single most-traded ETF such as SPY) to illustrate methodology, and refine from there. Let me know your preferences on the above points, and I’ll prepare the data-retrieval plan (or explain how to build the synthetic index) and run the formal back-test.