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Takeaway:
(LNT) is currently in a technical limbo with mixed signals, but both analysts and money flows suggest a cautiously optimistic outlook.Average rating score: 4.00 (simple mean). Weighted rating score: 5.41 (performance-weighted). The ratings are not consistent—with one "Strong Buy" and one "Neutral" from two active analysts.
These scores align with the current price trend, which has seen a modest rise of 0.62% over the recent period.
Key fundamental factors and their internal diagnostic scores (0-10):
While some metrics show moderate strength, the PCF and PE ratios indicate a relatively high valuation. The strong EPS growth is a positive, but the low net income-to-revenue ratio suggests there's room for operational efficiency improvements.
Big money and retail investors are showing a mixed outlook, with all categories trending slightly negative. However, the fund flow score is 7.54 (internal diagnostic score, 0-10), indicating a positive flow pattern despite the overall negative trend.
Big money (extra-large inflow ratio): 0.4993 — the highest among the categories. This suggests institutional confidence in the broader energy sector, even as smaller investors remain cautious.
The technical analysis paints a picture of neutrality, with 2 bullish, 1 bearish, and 3 neutral indicators over the last five days. The overall technical score is 5.66 (internal diagnostic score, 0-10), suggesting a wait-and-see stance.
Top indicators and their internal diagnostic scores:
Recent chart patterns (by date):
The mixed signals and neutral trend suggest that while short-term volatility is likely, a clear directional move is yet to materialize. Investors are advised to monitor key technical triggers, especially the impact of the dividend date and MACD crossovers.
Alliant Energy remains in a technical holding pattern, with mixed signals from both analysts and indicators. The dividend date and MACD behavior are key near-term triggers to watch. For now, the best strategy may be to wait for stronger directional signals before committing capital.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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