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Honeywell (HON.O) is in a technical bear market with weak momentum and a poor internal diagnostic score of 1.75. Despite strong fundamentals, recent technical and market signals suggest caution for short-term investors.
Recent analyst ratings for Honeywell show a simple average rating of 3.25 and a performance-weighted rating of 4.54. Despite this apparent optimism, the stock is currently down 1.14%, indicating a misalignment between analyst expectations and short-term market sentiment. Rating consistency is mixed, with four major firms offering ratings ranging from "Buy" to "Neutral."
Key fundamental values include:
These suggest the company maintains solid cash flow and operational efficiency, although valuation multiples appear stretched. Investors may need to wait for clearer technical signs before entering a long position.
Big money is moving cautiously: the fund-flow score is 7.52, classified as "good." However, all categories of inflow ratios (small, medium, large, and extra-large) show negative trends. This suggests that while professional investors are not entirely avoiding the stock, they are not aggressively accumulating either. Retail flows also remain bearish, contributing to the overall negative market sentiment.
Technically, Honeywell is in a very weak position. The internal diagnostic score is 1.75, with 4 bearish indicators and 0 bullish ones in the last 5 days. Key bearish signals include:
Recent chart activity includes:
Given the dominance of bearish indicators, traders should treat this stock with caution. Momentum is clearly deteriorating.
While Honeywell's fundamentals remain robust with an internal diagnostic score of 4.62, the technical outlook is concerning. The 1.75 score signals a weak trend, with several bearish indicators like Ex-Dividend Date and Bearish Engulfing dominating the recent pattern.
Actionable takeaway: Consider waiting for a pull-back or a breakout from the current bearish trend before taking a long position. Monitor upcoming earnings and broader industrial news for potential catalysts.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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