$398.600
-8.769 (-2.20%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
EG 相似圖表分析預測
Alphio's EG stock price prediction model matches the current Everest Group Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $397.92 (-0.17%). The 1-week path is $386.24 (-3.10%). 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.
該買進 Everest Group Ltd 股票嗎?
Everest Group Ltd is a good buy right now due to its current price of $398.60, which is below the average analyst price target of $455, indicating potential upside. The forward P/E ratio of 6.20 suggests the stock is undervalued compared to its earnings potential. However, the main risk is the recent decline in stock price of 2.20% yesterday, which indicates some short-term volatility.
EG 股價於 Friday 收在 $398.60,此前下跌 -2.20%
Everest Group Ltd (EG) last closed at $398.6, losing -2.20%. These facts feed the 1-day and 1-week EG price prediction above.
預測驅動因素
Everest Group Ltd(EG)的預測驅動因素綜合了相似的圖表形態、季節性與移動平均線。
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
相似圖表形態
近期走勢與 EG 最接近的股票,依相似度排序。
EG 季節性分析
Historically the probability of a positive October return for EG is 64.06%. July offers the highest probability of a positive month at 66.67%, while December is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
EG 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $312.78 | $356.84 | $403.00 | -10.48% |
| Nov 2026 | $295.61 | $353.39 | $374.52 | -11.34% |
| Dec 2026 | $333.50 | $394.49 | $435.63 | -1.03% |
2026 年,Everest Group Ltd(EG)預計區間為 $295.61 至 $435.63。
Everest Group Ltd 2026 年月度預測
2026 年 Oct,Everest Group Ltd 預計均價 $356.84,最低 $312.78,最高 $403.00。
2026 年 Nov,Everest Group Ltd 預計均價 $353.39,最低 $295.61,最高 $374.52。
2026 年 Dec,Everest Group Ltd 預計均價 $394.49,最低 $333.50,最高 $435.63。
本頁僅供研究參考,不構成投資建議。模型可能出錯。過往表現不代表未來結果。