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Market Snapshot: Entergy’s stock is currently in a weak technical position with a recent price drop of -2.93%, while internal signals suggest caution.
Recent analyst ratings are somewhat aligned, though not perfectly consistent. The simple average rating is 4.00, while the performance-weighted rating is 3.70. This suggests that while analysts are generally cautious, recent performance has slightly dampened expectations. The current price trend is down (-2.93%), which diverges from the average rating, showing some misalignment between sentiment and movement.
From a fundamental standpoint, here are the key metrics and their internal diagnostic scores (0-10):
Overall, the fundamentals are mixed, with some positive revenue expectations and weak profitability and valuation signals.
Entergy is experiencing negative money-flow across all categories. The overall inflow ratio is 0.46, indicating that more than half of investors are pulling out. This is particularly notable for:
The negative trend across all sizes of investors suggests a lack of confidence or a broader risk-off mood in the sector.
From a technical standpoint, Entergy is in a “Weak technology, need to be cautious” phase, with the following key signals:
Recent pattern activity includes:
Technically, the stock has shown a “volatile state with unclear direction” over the past five days, and the technical score is 4.39, reinforcing the need for caution.
Entergy is in a delicate position, with mixed fundamentals, a weak technical score, and negative money flow across the board. While the WR Oversold indicator suggests a potential short-term bounce, the bearish dividend date signal and weak fundamentals add to the uncertainty. Investors may want to consider waiting for a pull-back before entering a position, and to watch for earnings and broader market conditions that could shift sentiment. Given the volatility, a cautious approach is warranted.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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