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Takeaway: Despite a 5.18% recent price rise, internal technical signals are bearish, while fundamentals remain strong.
The current average analyst rating for Sherwin-Williams is 3.00, while the performance-weighted (historical) rating is 1.65. Analyst ratings are not consistent – recent sentiment appears mixed, with B of A Securities issuing a Neutral rating. This contrasts with the recent 5.18% price rise.
Key fundamental factors and their values (with internal diagnostic scores in parentheses):
Recent fund-flow data shows a negative overall trend despite positive inflows from retail investors. Large institutional investors are pulling back, with the large and extra-large inflow ratios below 50% (48.48% and 47.71%, respectively). In contrast, small investors show strong interest, with inflow ratios above 50%. This divergence suggests caution by institutional players, while retail sentiment remains positive.
Technically, SHW is in a weak state, with a technical score of 2.22 and a bearish outlook. Here are the key indicators and their internal diagnostic scores (0–10):
Recent Chart Patterns – Over the last five days, bearish signals have dominated: - 2025-08-19: WR Overbought, Bullish Engulfing, and Marubozu White patterns emerged, all leaning bearish. - 2025-08-13 and 2025-08-14: WR Overbought signaled overbought conditions. - 2025-08-15: Ex-Dividend and Dividend Record Date events showed no strong directional bias.
Key Insights: Technical indicators are bearish, with 6 negative vs. 0 positive signals. The trend remains weak, and a pull-back appears likely.
Sherwin-Williams’ fundamentals remain robust, but technical indicators are currently bearish with a score of 2.22. Fund flows show divergence between retail and institutional sentiment, and analyst ratings are mixed. Given the bearish technical outlook, investors may want to consider waiting for a clearer trend or improved momentum before entering a position.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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