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Despite a recent price increase of 8.59%, technical indicators remain bearish, suggesting caution for investors. Our internal diagnostic scores highlight a weak technical outlook with more bearish signals than bullish ones.
Recent news in the luxury goods sector may indirectly affect Deckers. Notable events include:
Analysts are split on Deckers, with a simple average rating of 3.88 and a performance-weighted score of 3.24. This suggests low consensus, with 11 institutions rating the stock, including 7 "Strong Buy" and 1 "Strong Sell" in recent 20 days.
Key fundamental values and their model scores (internal diagnostic scores 0-10):
While fundamentals show some strength in margins and EBIT performance, the technical score of 3.51 and weak analyst consensus suggest a disconnect between fundamentals and market sentiment.
Big-money and small investors alike are moving out, with overall inflow ratio at 48.50%, signaling a negative trend. Breaking it down:
The block trend is also negative (48.39%), reinforcing the broader pattern of caution. This suggests that both institutional and retail investors are hesitant about near-term prospects for
.Our internal diagnostic scores (0-10) for key indicators show a bearish bias overall, despite one strong bullish signal:
Recent chart patterns included a Bearish Engulfing and WR Oversold on August 11, while MACD Golden Cross occurred twice in late August. Despite the positive MACD, the overall trend remains weak, with bearish signals (3) outweighing bullish ones (1).
Deckers Outdoor is in a mixed state: fundamentals and gross margin remain strong, but technical indicators are bearish and money flows show net outflows. Analysts are divided, with some top names issuing "Strong Buy" while others advise caution. Given the weak technical score (3.51) and bearish signals, we suggest investors consider holding off or waiting for a clearer trend reversal or pull-back before entering.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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