Deere's $630M Trading Surge Boosts Rank to 187th Amid Sector Headwinds and Price Drop

On September 25, 2025, Deere (DE) traded with a volume of $630 million, marking a 36.36% increase from the previous day’s trading. The stock ranked 187th in terms of dollar volume among all listed equities, while closing 0.48% lower on the session.

Recent developments highlight shifting dynamics in agricultural and construction sectors. A report from a major commodities firm noted declining U.S. soybean export forecasts due to weaker Asian demand, raising concerns about slower farm equipment sales. Meanwhile, a government update indicated softened infrastructure spending proposals in key states, potentially delaying large-scale construction equipment orders. Both factors have introduced short-term uncertainty for Deere’s core markets.

Analysts observed mixed signals in dealer channel inventory metrics. While backlogs for certain high-demand models remain elevated, dealers reported uneven delivery timelines across regions. This suggests uneven demand recovery, with some markets outpacing others in equipment replacement cycles. Supply chain bottlenecks for precision agriculture components also persist, though recent supplier statements indicate improved production capacity by year-end.

To run this back-test properly I need to pin down a few practical details: 1. Market universe • Are we looking at U.S.-listed equities only (NYSE/Nasdaq/Amex), or another market? 2. Volume measure used for ranking • Raw share volume, or dollar volume (price × shares)? 3. Trading convention • Buy at the next session’s open and exit at that session’s close (typical 1-day holding), or buy at today’s close and exit tomorrow’s close? • Any assumptions for slippage / commissions, or treat them as zero? 4. Position sizing • Equal-weight the 500 stocks each day? • Or weight by volume or some other metric? Once these are clarified I can generate the daily buy/sell signals and run the back-test from 2022-01-01 to today.