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Headline Takeaway: While recent news shows industry resilience and a modest price rise, technical indicators remain weak — suggesting caution for investors.
Average Analyst Rating (Simple Mean): 3.50 (on a 5-point scale, where 5 is best)
Performance-Weighted Rating: 3.22 — factoring in historical performance and reliability of the analysts.
Rating Consistency: Analysts have shown consistent expectations, with 2 "Buy" and 2 "Neutral" ratings in the last 20 days.
Price Trend Alignment: The stock has risen 0.68% recently, and analyst expectations are neutral, meaning the market is somewhat aligned with analyst sentiment, but not overly bullish or bearish.
Note: All internal diagnostic scores range from 0 to 10, where 10 is best.
Big-money investors are showing cautious optimism, with inflow ratios across all categories (extra-large to small) hovering around 0.50 to 0.51. The overall fund flow score is 7.82 (score level: "good"), suggesting that large institutional money is flowing into the stock at a moderate pace. Retail investors also show a positive trend, with inflow ratios slightly above 0.50, indicating some retail interest in the stock. However, with weak fundamentals and technicals, it remains to be seen whether this inflow will sustain.
Recent Chart Patterns (Last 5 Days):
Technical Summary: The stock has more bearish signals (4) than bullish (1), and the overall trend is weak. The technical score is 2.79 (on a 10-point scale), suggesting that technical indicators are not in favor of a near-term positive move.
Ingersoll Rand (IR) is in a mixed state. While there is some institutional inflow and a slight price rise in the short term, fundamentals and technicals remain weak. Analysts are divided, but the average and weighted ratings are neutral to slightly negative. The technical score of 2.79 is a red flag for short-term traders. Actionable Takeaway: Consider waiting for a clearer technical signal or earnings event — but be cautious of the bearish indicators currently dominating the chart.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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