$67.840
+2.313 (+3.41%)At close
Price Predictions
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ES Prediction & Forecast by Similar Chart Analysis
Alphio's ES stock price prediction model matches the current Eversource Energy tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $68.36 (+0.77%). The 1-week path is $69.71 (+2.76%). 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 Eversource Energy Stock?
Eversource Energy is a good buy right now due to its current price of $66.85 being below the analyst price target of $81 from BofA, indicating a potential upside of 21%. Additionally, the forward P/E ratio of 13.28 suggests that the stock is undervalued compared to its earnings growth potential. The main risk to consider is the recent decline in net income margin to 1.91% in Q2 2026, which could impact future profitability.
ES stock price ended at $67.84 on Thursday, after rising +3.41%
Eversource Energy (ES) last closed at $67.84, gaining +3.41%. These facts feed the 1-day and 1-week ES price prediction above.
Analyst Consensus
Eversource Energy (ES): 6 buy, 7 hold, 1 sell. Outlook: Hold.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Eversource Energy (ES) 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 ES, ranked by similarity.
Seasonality analysis for ES
Historically the probability of a positive October return for ES is 69.84%. 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.