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Takeaway: Tapestry is in a technically neutral zone with strong bullish signals and mixed analyst ratings. Investors are advised to watch the upcoming earnings and price action for a clearer direction.
Tapestry’s recent price trend is down -9.97%, but the analyst sentiment is mostly optimistic. Here's the breakdown:
These ratings do not align well with the current price decline, suggesting the stock could be undervalued or facing temporary headwinds. Here are the key fundamental values and their internal diagnostic scores (0-10):
While revenue and asset metrics are mixed, the low profit-MV score suggests earnings strength is a concern, and the high PE and EV/EBIT indicate expensive valuation multiples. Analysts may be betting on future earnings recovery.
Big-money flows are currently negative, with extra-large and large investors pulling back. However, small and medium retail investors are showing positive inflows, with inflow ratios of 50.17% and 49.12%, respectively. This suggests a retail-driven rally may be underway, though institutional sentiment is bearish.
The fund-flow score is 7.76 (good), indicating that while large investors are cautious, the retail support could provide a short-term floor for the stock.
Technically, Tapestry is in a state of neutrality, but several bullish signals are emerging:
The technical score is 6.33 (moderate attention needed), with 4 bullish vs. 1 bearish indicator in the last 5 days. While the chart is mixed, the recent bullish engulfing and WR oversold signals suggest a potential rebound could be on the horizon.
Tapestry is in a technically ambiguous but potentially bullish phase, with strong analyst optimism and positive retail inflows. However, the current price drop and mixed fundamentals suggest caution. Investors should wait for a confirmation — either through upcoming earnings or a clear breakout pattern — before committing to a position. For now, the technical score (6.33) and analyst-weighted score (4.79) suggest it's a watch-list candidate, but not a buy signal just yet.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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