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DuPont de Nemours (DD.N) is showing signs of internal conflict: while its fundamentals remain relatively strong with a 5.86 internal diagnostic score, technical indicators are flashing red with a weak 2.65 internal diagnostic score and a bearish bias. The stock has seen a recent rise of 6.23%, but this momentum is at risk given the lack of technical support.
Analysts are split but leaning toward optimism. The simple average rating is 4.33, while the performance-weighted rating is 3.85. These scores show a neutral-to-bearish dispersion, with recent ratings including two Buy and one Strong Buy. The average price trend is rising (6.23%), but the lack of consensus among analysts suggests mixed expectations.
Big money is showing negative sentiment with an overall inflow ratio of 0.458 and negative trends across all fund sizes. Specifically, large and extra-large institutional flows are both negative (inflow ratios of 0.489 and 0.423, respectively), which typically signals a loss of confidence among major market participants. Retail flows are also negative (small inflow ratio of 0.498), suggesting broader pessimism.
This combination of fund flows is a strong red flag, particularly when aligned with weak technical indicators, and suggests that market participants are preparing for downside risk rather than building long positions.
Technically, DuPont de Nemours is in a fragile state. The overall trend is weak, and three bearish signals (Bullish Engulfing, WR Overbought, RSI Overbought) dominate the recent 5-day period. Here's how they stack up:
With no bullish indicators active in the past 5 days, the chart pattern is clearly bearish and could trigger further declines unless a strong reversal occurs.
Despite relatively resilient fundamentals and a few optimistic analyst calls, the current technical setup and fund-flow dynamics are unambiguous: avoid new long positions and consider hedging or waiting for a pull-back. The 2.65 internal diagnostic score is a clear signal to proceed with caution. Investors should monitor upcoming earnings and industry reactions to U.S.-China trade dynamics, which could either stabilize or further erode sentiment.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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