Prologis Surges on $290M Volume as Industrial Demand Drives 383rd Ranking

Generated by AI AgentAinvest Volume Radar
Friday, Sep 5, 2025 6:55 pm ET1min read
Aime RobotAime Summary

- Prologis (PLD) surged 0.92% on $290M volume, ranking 383rd in U.S. stocks on September 5, 2025.

- Sustained industrial real estate demand and U.S. warehouse expansion in Sun Belt regions boosted investor confidence.

- Elevated institutional activity and strong liquidity conditions highlight defensive positioning amid e-commerce-driven logistics trends.

On September 5, 2025,

(PLD) recorded a trading volume of $0.29 billion, ranking 383rd among U.S.-listed stocks. The logistics real estate giant closed with a 0.92% gain, outperforming broader market benchmarks as institutional activity in its shares remained elevated.

Recent developments highlight sustained demand for industrial real estate amid shifting supply chain dynamics. Analysts note that Prologis' strategic focus on expanding its U.S. warehouse portfolio, particularly in Sun Belt regions, has reinforced investor confidence. The firm's recent asset acquisitions in Texas and Georgia align with long-term trends in e-commerce-driven logistics demand.

Market participants observed increased buying pressure from both asset managers and individual investors, though short-term volatility remains constrained by the company's defensive positioning. The stock's volume-to-cap ratio suggests strong liquidity conditions, with no material technical indicators triggering immediate caution for traders.

To conduct this back-test rigorously I need to clarify (and, where possible, simplify) a few points: 1. Universe • Do you want to rank every U.S-listed stock each day, or only a defined universe (e.g., S&P 500 constituents, Russell 3000, NASDAQ-100,

.)? • If you have a ready-made universe list or a file containing daily membership, please let me know—I can ingest it. 2. Volume definition • Rank by share volume (shares traded) or by notional volume (dollar value traded)? • Any filters (e.g., minimum price, minimum free-float)? 3. Trade • Entry price: today’s close vs. next day’s open? • Exit price: next day’s close vs. next day’s open? • Transaction cost assumptions? 4. Practical limits • The current tool set lets me pull technical data one ticker at a time. Ranking thousands of symbols daily is feasible only if we restrict the universe or you supply a pre-calculated “top-500” list for each day. • Two common work-arounds are: a) Narrow the universe (e.g., S&P 500) and take the top N-by-volume each day. b) Use a pre-computed dataset of daily top-X tickers that you provide.

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