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Takeaway: Despite robust fundamentals,
(WBA) is showing signs of technical weakness, with bearish signals dominating its recent chart patterns. Position: Cautious.Deutsche Bank’s George Hill has issued a Strong Sell rating for Walgreens Boots, with a historical win rate of 0.0% and average return of 4.12%. The simple average analyst rating is 1.00, while the performance-weighted rating is 0.00, highlighting a significant dispersion in expectations.
This mismatch between analyst sentiment and the current price trend—WBA has risen 2.11%—suggests the market is pricing in a stronger outlook than what institutional analysts foresee.
Key fundamental values and scores:
Big money is cautious. The overall inflow ratio is 48.34%, but the block and extra-large trends are negative, indicating that institutional investors are pulling back. In contrast, small investors are showing a positive trend (51.04% inflow ratio), while large investors also show a positive trend (52.89% inflow ratio).
This split suggests that while retail and large investors remain optimistic, large institutional money is taking a defensive stance. The fund-flow score of 7.6 (good) reinforces the idea that retail participation is strong, but professional investors are signaling caution.
Internally, the technical outlook for WBA is weak. The technical score is 1.41, with 3 bearish indicators and 0 bullish ones over the last five days.
Recent chart patterns:
These signals point to a weak momentum and a poor trend quality. The overall technical outlook is to avoid the stock.
Walgreens Boots is in a fundamentally strong position with robust cash flow and high turnover ratios, but technical indicators and institutional sentiment are bearish. With bearish candlestick patterns and overbought signals dominating the chart, the stock is at risk of a pullback. Investors should consider waiting for a clearer trend or a better technical setup before entering a position.
Actionable takeaway: Consider waiting for a pull-back or improved technical signals before initiating or adding to a WBA position.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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