$66.850
-1.437 (-2.15%)At close
Price Predictions
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LNT Prediction & Forecast by Similar Chart Analysis
Alphio's LNT stock price prediction model matches the current Alliant Energy Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $67.41 (+0.84%). The 1-week path is $67.00 (+0.22%). Longer windows use the same pattern set plus seasonality; the 1-month and multi-year forecasts sit behind unlock because they include precise min / avg / max bands.
Should I Buy Alliant Energy Corp Stock?
Alliant Energy Corp is a good buy right now due to its current price of $68.32 being below the average analyst price target of $78, indicating potential upside. Additionally, the company has a strong forward P/E ratio of 17.45, suggesting reasonable valuation compared to its earnings growth prospects. However, there is a risk with the current RSI at 80.41, indicating it may be overbought in the short term.
LNT stock price ended at $66.85 on Monday, after losing -2.15%
Alliant Energy Corp (LNT) last closed at $66.85, losing -2.15%. These facts feed the 1-day and 1-week LNT price prediction above.
Analyst Consensus
Alliant Energy Corp (LNT): 2 buy, 5 hold, 0 sell. Outlook: Hold.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Alliant Energy Corp (LNT) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches LNT, ranked by similarity.
Seasonality analysis for LNT
Historically the probability of a positive October return for LNT is 90.00%. August offers the highest probability of a positive month at 100.00%, while January is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.