$106.660
+3.200 (+3.00%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
SHEL 相似图表分析预测
Alphio's SHEL stock price prediction model matches the current Shell PLC tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $106.40 (-0.24%). The 1-week path is $111.19 (+4.25%). 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.
该买入 Shell PLC 股票吗?
Shell PLC (SHEL) is a good buy right now, trading at $100.18 with a strong forward P/E of 9.57, indicating solid earnings potential. The stock has shown a year-to-date change of +32.79%, reflecting strong performance amid rising oil prices, with Brent crude now forecasted to average $96.32 per barrel in 2026. However, a key risk is the significant selling by hedge funds, increasing by 10019.72% over the last quarter, which may indicate potential volatility ahead.
SHEL 股价于 Friday 收于 $106.66,此前上涨 +3.00%
Shell PLC (SHEL) last closed at $106.66, gaining +3.00%. These facts feed the 1-day and 1-week SHEL price prediction above.
预测驱动因素
Shell PLC(SHEL)的预测驱动因素综合了相似的图表形态、季节性与移动平均线。
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
相似图表形态
近期走势与 SHEL 最接近的股票,按相似度排序。
SHEL 季节性分析
Historically the probability of a positive October return for SHEL is 96.55%. May 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.
SHEL 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $49.04 | $50.19 | $56.82 | -52.94% |
| Nov 2026 | $55.26 | $68.18 | $79.28 | -36.08% |
| Dec 2026 | $49.70 | $53.19 | $66.31 | -50.13% |
2026 年,Shell PLC(SHEL)预计区间为 $49.04 至 $79.28。
Shell PLC 2026 年月度预测
2026 年 Oct,Shell PLC 预计均价 $50.19,最低 $49.04,最高 $56.82。
2026 年 Nov,Shell PLC 预计均价 $68.18,最低 $55.26,最高 $79.28。
2026 年 Dec,Shell PLC 预计均价 $53.19,最低 $49.70,最高 $66.31。
本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。