Kenvue Shares Climb 2.39% with $710M Volume Ranking 130th as Analysts Split on Buy-Sell Targets

On September 9, 2025, , , ranking 130th in market activity. Analysts have issued a mixed outlook, . One analyst recommends selling, seven advise holding, and five suggest buying. , , .

Recent analyst activity highlights adjustments in price targets, including reductions from Evercore ISI, Royal Bank of Canada, and UBS Group. , . The stock’s performance remains tied to sector performance, with analysts emphasizing caution amid mixed recommendations. Despite a "Hold" consensus, the divergence in buy and sell ratings reflects uncertainty about the company’s growth trajectory and valuation.

Deutsche Bank’s latest assessment reaffirmed a $20.00 price target, aligning with the broader "Hold" sentiment. , . Analysts continue to monitor the company’s market position in self-care and skin health segments, which remain central to its strategic focus.

To make sure I can deliver an accurate back-test for you, could you please confirm a few practical details about the strategy? 1. Universe • Are we screening all U.S. listed common stocks (NYSE + NASDAQ), or a different market/universe? 2. Selection timing (look-ahead bias) • The daily ranking of stocks by trading volume is only fully known after the market close. • Common practice is therefore: – Day T: compute the top-500 list after the close. – Day T+1: open an equal-weight position in those 500 stocks at the next day’s open, then exit at Day T+1 close (one-day holding period). • Is this sequence acceptable, or would you prefer a different entry/exit convention (e.g., buy at today’s close, sell tomorrow’s close)? 3. Weighting & rebalancing • Equal-weight across the 500 names each day, rebalanced daily? • Any preference for transaction cost assumptions? 4. Risk controls • Should we apply any stop-loss, take-profit, or maximum draw-down constraints? 5. Tool limitation notice • The back-testing framework available here excels at single-ticker and event-driven tests. • Multi-asset portfolio simulations (such as buying 500 individual names every day) require an extra data step to aggregate the daily portfolio return series. • I can handle that aggregation for you, but the first four points above need to be fixed before we proceed. Once I have your answers, I’ll prepare the data retrieval plan and run the back-test promptly.