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Takeaway:
(FRT) is showing a recent price increase of 6.36%, but technical indicators suggest a weak outlook and bearish momentum, with analysts offering a mixed and inconsistent set of expectations.Analyst Ratings: The average rating for FRT, based on 6 recent analyst ratings, is 3.83 (simple mean). However, when weighted by historical performance, the score drops to 2.77. This indicates a wide dispersion in analyst sentiment. While the market expects a “relatively neutral” outlook, the current price trend (up 6.36%) contrasts with the average and weighted expectations, showing a mismatch in short-term vs. long-term views.
Key Fundamentals:
Overall, the fundamentals appear mixed. While some metrics (GPM, GMAR) show strength, others (ROTA, DSO) suggest caution. The fundamental score is 4.95, indicating a neutral to slightly positive baseline.
Federal Realty is currently showing a positive overall money flow of 50.15%, driven by large and extra-large institutional inflows. Specifically:
This suggests that big-money players (large and extra-large) are accumulating FRT shares, while small and medium retail investors are showing slightly less aggressive interest. The fund-flow score is 7.73, which is above average and classified as “good.”
Federal Realty’s technical outlook is bearish, with three negative indicators and no bullish ones in the last five days. The internal technical score is 3.52, which suggests a weak and cautionary trend.
Recent Chart Patterns and Scores:
Key Insights:
While Federal Realty Investment Trust (FRT) has seen a recent price increase of 6.36%, the technical and fundamental signals tell a more complex story. Analyst ratings are mixed, and the stock’s internal diagnostic score is weak (3.52). Despite a positive money flow trend from large investors, the bearish technical indicators and lack of bullish momentum suggest caution.
Actionable Takeaway: Consider waiting for a pull-back or stronger technical confirmation before considering entry. Keep an eye on upcoming earnings and broader sector trends in retail and real estate.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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