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Kimberly-Clark (KMB) is in a technical bear market, with three bearish signals dominating and no bullish signs in recent charts. The stock has seen a recent price decline of -3.17%, and the internal diagnostic score is just 1.63 out of 10. Investors are advised to exercise caution.
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Analyst views on
are split, with a simple average rating of 3.00 and a performance-weighted rating of just 1.47. The ratings are inconsistent, with one "Underperform" rating from and a "Buy" rating from . This mismatch reflects uncertainty in the market.The recent price decline of -3.17% aligns with the pessimistic market sentiment, as most analysts have issued "Neutral" or bearish ratings. The stock is not showing strong alignment between price trend and analyst consensus.
Key fundamental factors and their values (with internal diagnostic scores) include:
Big-money investors are currently showing a positive trend, with the block_trend and extra-large_trend both indicating inflows. The overall inflow ratio is 51.03%, which is above 50%, suggesting institutional support.
However, smaller investors are less confident. Small_trend is negative, with an inflow ratio of 48.06%. The Large_trend is also bearish, at an inflow ratio of 47.30%. This split between institutional and retail flows may reflect broader uncertainty about KMB’s near-term direction.
Technically, KMB is struggling. The internal diagnostic score is 1.63 out of 10, and the recent technical signals suggest a weak trend:
In recent dates (August 25–27, 2025), the chart showed multiple oversold readings and the emergence of a Marubozu candlestick, indicating weak bullish momentum and heightened risk of a further price pullback.
Investors should consider avoiding KMB at this time. The technical signals are bearish, with no bullish indicators in the past five days. Analyst ratings are mixed, and while institutional money is flowing in, retail sentiment is weak. If you’re interested in re-entering the stock, consider waiting for a clearer trend reversal or strong positive earnings data to support a more bullish setup.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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