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Takeaway:
(DD) shows signs of technical weakness and bears are dominating the near-term chart, with the stock currently facing a high risk of further declines. Our internal diagnostic score for technicals is just 1.67 out of 10, suggesting investors should be cautious.Analysts remain cautiously optimistic. The simple average rating score for
is 4.33, while the weighted rating score (based on historical performance) is 3.85. Ratings are currently split between “Buy” and “Strong Buy,” with no consensus. This lack of rating consistency reflects differing views on the company’s growth and macroeconomic risks.The current price is up by 0.65%, aligning with the weighted average of analyst expectations. However, the technical outlook remains bearish, suggesting a mismatch between fundamentals and chart signals.
DuPont’s recent money-flow patterns show mixed signals. While Small retail investors are showing a positive trend, Large, Extra-large, and Institutional investors are all trending negatively.
The fund-flow score is 7.74 (rated as “good”), showing that while retail enthusiasm remains, big-money investors are pulling back, hinting at caution ahead.
DuPont’s technical indicators are heavily bearish, with 5 bearish signals compared to 0 bullish, and 0 neutral indicators in the past five days. The internal diagnostic technical score is 1.67 out of 10, suggesting weak momentum and a high risk of further declines.
This pattern shows a lack of strong bullish momentum and increasing bearish signals, reinforcing the need for caution.
Investors should proceed with caution around DuPont de Nemours. The technical indicators are bearish, with a very low internal diagnostic score (1.67), while big-money flows are trending down. Although analysts remain generally positive, the stock’s fundamentals show mixed strength.
Actionable takeaway: Consider avoiding new long positions in DD for now and wait for a clearer reversal signal or a pullback to a more attractive entry point.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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