Ford Shares Slide 0.61% With 203rd-Highest Trading Volume Amid $1.5B EV Expansion and Production Adjustments

Generated by AI AgentAinvest Volume Radar
Wednesday, Sep 10, 2025 8:25 pm ET1min read
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Aime RobotAime Summary

- Ford shares fell 0.61% on Sept. 10 with 203rd-highest U.S. trading volume amid strategic EV ecosystem shifts.

- The automaker announced a $1.5B investment to expand Michigan battery production and phase out European ICE models by 2030.

- Production adjustments included a Cologne plant shutdown due to semiconductor shortages and a $1.2B DOE loan for 400-amp charging infrastructure.

- These moves highlight Ford's dual focus on supply chain resilience and charging network expansion to meet 2027 EV demand projections.

. , ranking 203rd among U.S. stocks. Recent developments highlight strategic shifts in its EV ecosystem and production capacity. The automaker announced a $1.5 billion investment to expand its EV battery manufacturing footprint in Michigan, aiming to meet projected demand through 2027. Concurrently, FordF-- is phasing out lower-margin internal combustion engine models in Europe, aligning with its 2030 net-zero emissions target.

Production adjustments emerged as key drivers of near-term volatility. The company temporarily halted assembly at its Cologne plant due to semiconductor shortages, . Separately, . Department of Energy to accelerate development of its next-generation 400-amp charging infrastructure. These moves underscore its dual focus on supply chain resilience and charging network expansion.

Back-test methodology requires extracting daily trading volume and adjusted close data for all U.S.-listed common stocks from Jan. 1, 2022, to present. The process involves sorting the universe by daily volume, , and holding positions for one trading day. . The dataset will include all NYSE, NASDAQ, and AMEX-listed common stocks with raw volume and split/dividend-adjusted closing prices. No transaction costs will be factored into the rebalancing process, which occurs daily (T to T+1 close). Data collection parameters include a CRSP-like universe definition and standard close-price methodology.

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