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Takeaway: Despite a recent 5.18% price rise, technical indicators signal weakness and bearish momentum dominates with six negative signals over zero bullish ones.
Analyst Ratings: The average analyst rating is 3.00 (simple mean), while the performance-weighted rating is lower at 1.65. This suggests that while one analyst (Steve Byrne of B of A Securities) has given a neutral rating, the performance of that prediction has been unremarkable — with a historical win rate of 50% and average returns of 1.32%.
Analyst ratings are inconsistent with the price trend, which has seen a 5.18% rise. This mismatch indicates market optimism may be outpacing institutional caution.
Fundamental Highlights:
The overall fundamental score is 5.97, which is average, but the weak cash flow and low liquidity metrics are concerning in a rising price environment.
Big-money investors are currently net sellers, with large and extra-large funds showing a negative trend. The block inflow ratio is 48%, indicating significant outflows among institutional investors. Meanwhile, retail (small) investors remain slightly positive — 51.59% inflow ratio, suggesting retail optimism may not be matched by institutional confidence. The overall inflow ratio is 48.43%, leaning negative in the short term.
Internally, the technical score for SHW is 2.2 out of 10, indicating a weak technical environment.
Recent Chart Patterns (by date):
The overall technical trend is weak, and the key insight is that bearish signals dominate, with six negative indicators against zero bullish ones. Traders are advised to avoid or short this stock in the short term.
The technical outlook for
is weak, with multiple overbought indicators turning bearish. While fundamentals are mixed, liquidity and cash flow concerns are notable red flags. Analyst ratings are neutral but lagging behind the current price trend. Given the poor technical signals and weak institutional inflow, it may be prudent for investors to consider a wait-and-watch approach until clearer technical and fundamental clarity emerges.A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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