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Takeaway: Pfizer’s stock shows a weak technical outlook with an internal diagnostic score of 2.92, while recent price trends indicate a 1.11% rise, which appears to clash with the bearish technical signals.
Analyst Consensus: Three major institutions—Citigroup,
, and B of A Securities—have all assigned a "Neutral" rating to Pfizer in the last 20 days. Their historical performance is strong, with all maintaining a 100% win rate, though average returns vary from -0.92% to 3.02%.Alignment With Price Trend: The current price increase of 1.11% is not supported by the bearish technical indicators, indicating potential short-term divergence between price and fundamentals.
Key Fundamental Factors:
Pfizer’s fund-flow score stands at 7.78, classified as “good.” However, the overall trend is negative, with all categories—small, medium, large, and extra-large—showing outflows or weak inflows. The overall inflow ratio is 47.54%, indicating that big-money flows are slightly less aggressive than average, but retail investors appear to be cautious. Block flow is also negative at 47.49%, suggesting institutional activity is currently bearish.
Pfizer’s technical indicators present a clear bearish bias, with no
signals in the recent 5-day period. Here’s a breakdown of the key indicators and their internal diagnostic scores:Key Insights: The technical signal quality is weak, with 3 bearish indicators and only 1 neutral. The chart pattern suggests a high risk of further downward movement. Investors should monitor earnings and avoid overexposure.
Pfizer faces a mixed outlook. While fundamentals show modest growth and the stock recently rose 1.11%, the technical picture is bearish with a weak score of 2.92. Analysts are neutral, but bearish signals dominate the near-term chart. Actionable takeaway: Consider waiting for a pull-back or clearer momentum before initiating new positions, and closely watch the upcoming earnings report for potential catalysts.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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