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Iron Mountain (IRM) is currently in a technical neutrality phase, with mixed signals from both bullish and bearish indicators. The internal diagnostic score (0-10) for technical analysis stands at 5.5, suggesting a wait-and-see approach for investors.
Iron Mountain received two recent “Buy” ratings from two analysts within the last 20 days, giving it a simple average rating score of 4.00. However, the performance-weighted score is 3.69, which slightly discounts the ratings by factoring in historical accuracy.
Key Fundamental Factor Values:
These fundamentals are reflected in the internal diagnostic score of 1.74, signaling significant concerns about the company’s financial stability and profitability.
Big-money players are showing mixed activity. The fund-flow score for Iron Mountain is 7.75 (good), with medium and large players showing inflows of 50.36% and 50.47% respectively. In contrast, retail investors are less optimistic, with only 49.26% inflow in the small category and the overall trend leaning negative.
This indicates that while institutional investors are cautiously optimistic, retail sentiment is weaker, possibly reflecting uncertainty about the company’s near-term outlook.
Iron Mountain’s technical analysis shows 3 bullish and 3 bearish indicators, with 2 neutral ones, suggesting a volatile but directionless market.
Recent Chart Patterns include:
Overall, momentum is weak, and the mixed signals make it difficult to draw a clear trend. Investors are advised to wait for stronger directional cues.
Iron Mountain is in a wait-and-see phase with internal diagnostic scores for technical analysis at 5.5 and fundamentals at 1.74. Analysts are split, with mixed money flows adding to the uncertainty. The best strategy for now is to monitor the stock closely around key events such as earnings releases and dividend dates, particularly on August 6 and August 20. A clearer trend may emerge once these catalysts play out.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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