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Williams-Sonoma (WSM) has seen a recent price decline of -6.46%, with mixed technical signals and bearish indicators prevailing. Our internal diagnostic score for technical strength is 4.95, signaling a "Weak technology, need to be cautious" trend over the past five days.
The average analyst rating for WSM is a simple mean of 3.57, while the performance-weighted rating stands at 2.59. These scores reflect a market expectation that is "relatively neutral," with analyst ratings split between "Buy" (4) and "Neutral" (3) in the last 20 days. However, the current price trend of falling shares (-6.46%) aligns with the weighted expectations, indicating some convergence between market sentiment and price action.
Williams-Sonoma’s fundamentals are mixed. Strong earnings growth is offset by weak operating cash flow performance. The overall fundamental score is 4.52, suggesting a company that is neither thriving nor struggling.
The flow of funds into WSM shows a negative overall trend, with large and extra-large investors showing a bearish stance. Large-inflow ratio is at 48.68% and extra-large at 49.75%, indicating big money is moving out or staying cautious. On the other hand, retail investors (small flows) show a positive trend with an inflow ratio of 50.70%, indicating retail confidence. The block-inflow ratio at 49.46% also suggests institutional selling pressure. The fund-flow score of 7.87 is labeled as "good," but this must be viewed with caution given the broader price weakness.
Recent technical signals include a Bearish Engulfing pattern on August 15 and a MACD Death Cross on August 18, both bearish. The WR Oversold pattern repeated on August 21 and 20, showing some potential for a short-term bounce, but the overall trend remains weak with no clear direction.
Investors in Williams-Sonoma should consider waiting for a pull-back before entering or adding to positions. The mixed technical and fundamental signals suggest a market that is not in consensus. Our internal diagnostic scores highlight weak momentum and a need for caution. Watch for more clarity from analysts and keep an eye on capital flows to gauge institutional sentiment.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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