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Takeaway: The technical outlook is weak, and investors should be cautious with a low internal diagnostic score of 1.82, while fundamentals and money flows show a more nuanced picture.
Realty Income has attracted a modest amount of analyst attention recently. The simple average rating is 3.00, while the performance-weighted rating is 2.08. The ratings are relatively neutral, but there is a mismatch with the stock’s price trend, which has risen by 3.14% recently. Wolfe Research analyst Andrew Rosivach gave a "Neutral" rating, backed by a historical win rate of 100.0% over one previous recommendation.
While some metrics like GPM and
are relatively strong, the high P/E and weak return on total assets raise concerns. The fundamental score overall is 6.14, which is moderate but not compelling.Big-money flows are currently negative for Realty Income, with the block trend and large and extra-large trends all pointing downward. However, retail flows are more positive, with small investors showing a slight inflow ratio of 53.54%. The overall inflow ratio is 45.93%, with big money still dominant but not overpowering. The fund-flow score of 7.76 suggests decent performance from institutional money flows, but the mixed signals mean caution is warranted.
The technical outlook for Realty Income is clearly bearish, with 6 bearish indicators and 0 bullish ones. The overall trend suggests investors should avoid the stock due to weak momentum and a high risk of decline.
These signals suggest a weak and possibly declining trend in the near term.
While Realty Income (O) has some fundamental strength and mixed money flows, the technical outlook is clearly bearish. The stock’s internal diagnostic score of 1.82 is extremely low, and the recent signals such as MACD Golden Cross and ex-dividend dates are negative. Given the weak trend and the dominance of bearish indicators, we recommend avoiding the stock for now or waiting for a more favorable entry point. Investors should also keep a close eye on upcoming earnings and dividend developments for potential turnaround signs.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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