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Takeaway:
(WBA.O) is trading in a weak technical environment, but strong fundamentals suggest the company remains a solid long-term play — despite recent bearish signals.Analysts are currently bearish on Walgreens Boots. The average rating score is 1.00 (simple mean), while the weighted performance-based rating is 0.00. This reflects a very negative sentiment from the few active analysts covering the stock. These scores align closely with the stock's current price trend, which is down by -0.17%.
Big money is cautious on Walgreens Boots, with overall inflow ratio at 15.37%, and all major fund flow trends (Small, Medium, Large, Extra-Large, and Block) showing negative trends. This suggests institutional and retail investors are currently selling off their positions. The fund flow score of 6.76 (internal diagnostic score, 0-10) indicates this is still a relatively healthy outflow compared to more extreme sell-offs, but the negative trend is clear and consistent.
Technically, Walgreens Boots is in a weak state, with a low technical score of 2.56 (internal diagnostic score, 0-10). Here's what's driving that:
Overall, the technical indicators are heavily bearish (5 out of 6), with only one strong bullish signal from WR Oversold. This suggests the stock is likely to continue underperforming in the short term unless there’s a sharp reversal or catalyst.
Walgreens Boots is in a tricky spot: fundamentally strong with an internal diagnostic score of 9.37 (0-10), but technically weak with a score of 2.56 (0-10). The recent fund flow and analyst trends support a bearish outlook in the short term.
Actionable Takeaway: Consider waiting for a pull-back before entering a long position. Short-term traders should be cautious due to the weak technical and sentiment signals, while long-term investors may want to watch for a potential reversal or improved earnings guidance from Q3 2025 — which could provide a catalyst for a rebound.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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