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Headline takeaway:
(IR) is showing a weak technical outlook with bearish signals dominating, and its price has fallen -0.36% recently.Analysts are divided, with recent ratings showing two "Buy" and two "Neutral" calls, but internal diagnostic scores (0-10) indicate technical weakness and caution for investors.
Average Rating Score: 3.50 (simple mean of analyst ratings)
Weighted Rating Score: 2.50 (performance-weighted score based on historical accuracy)
Rating Consistency: Analysts are split, with no clear consensus. Two of the four active analysts have issued "Buy" ratings, but two others have rated it "Neutral."
Alignment with Price Trend: The recent price fall aligns with the weighted expectations of market participants.
The fundamental score stands at 7.29, which is positive, but it contrasts with the weak technical indicators and bearish market flow. Investors should consider the divergence between fundamentals and market sentiment before taking action.
Big money is currently showing a negative trend, with large and extra-large investors pulling funds. However, retail investors (small retail) are showing a positive trend, which is unusual and could indicate a short-term buying opportunity.
The overall fund-flow score is 7.83, indicating a "good" level of inflow. However, the divergence between small and large investor trends suggests caution.
Recent Indicators (by Date):
Key Insight: The technical side is weak, with four bearish indicators versus zero bullish ones in the past 5 days. Momentum is clearly bearish, and it is suggested to avoid the stock for now.
Ingersoll Rand (IR) is in a precarious technical position, with bearish signals dominating. While the fundamentals remain reasonably strong (7.29 internal diagnostic score), the current price trend and market flow suggest caution.
Actionable Takeaway: Consider waiting for a potential pull-back or clearer technical signals before entering a long position. Keep a close eye on the upcoming dividend dates and market flow developments in the next few weeks.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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