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On October 6, 2025,
(UNH) closed with a 0.40% decline, marking its lowest price since early September. The stock traded with a volume of $2.58 billion, representing a 47.05% drop compared to the previous trading day’s activity. This volume ranked as the 30th most actively traded stock in the U.S. equity market, reflecting subdued investor engagement despite its position in the broader healthcare sector.The decline came amid broader market volatility and mixed signals from earnings reports across the sector. Analysts noted that UnitedHealth’s performance was influenced by cautious positioning ahead of key regulatory developments related to its proposed Medicare Advantage rate increases. While the company has historically demonstrated resilience in navigating healthcare policy shifts, traders appeared to prioritize risk management in the face of near-term uncertainties.
Market participants also observed that the stock’s price action aligned with technical indicators suggesting short-term bearish momentum. The sharp drop in trading volume further underscored a lack of conviction among investors, with many opting to hold positions rather than initiate new trades. This dynamic contrasted with UnitedHealth’s typically high liquidity profile, highlighting temporary market hesitancy.
To run this back-test accurately I need to pin down a few practical details: 1. Market universe — Are we selecting from the entire U.S. stock universe (all listed equities), or a specific subset such as the Russell 3000 or S&P 500? 2. Daily ranking metric — “Top 500 by trading volume” — do you want this ranked by number of shares traded, or dollar value traded (volume × price)? 3. Trade mechanics — Entry price: next-day open or same-day close? Exit price after one day: next-day close, next-day open, or something else? 4. Transaction costs — Should we include any commission or slippage assumptions? Once these are clarified I can set the parameters (or propose reasonable defaults) and run the back-test.

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