$350.170
-4.342 (-1.24%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
MOG.B 相似图表分析预测
Alphio's MOG.B stock price prediction model matches the current Moog Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $349.82 (-0.10%). The 1-week path is $358.12 (+2.27%). 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 Moog Inc 股票吗?
Currently, Moog Inc. is not a strong buy due to its low RSI of 20.471, indicating potential oversold conditions, and a recent 5-day price decline of 6.05%. However, the company has shown impressive long-term growth with a 60.54% increase over the past year and a projected sales growth of 9% for FY26. The main risk is the high forward P/E ratio of 33.0033, suggesting the stock may be overvalued at its current price of $335.16.
MOG.B 股价于 Wednesday 收于 $350.17,此前下跌 -1.24%
Moog Inc (MOG.B) last closed at $350.1700134, losing -1.24%. These facts feed the 1-day and 1-week MOG.B price prediction above.
预测驱动因素
Moog Inc(MOG.B)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
Bearish
SMA 200
Bearish
相似图表形态
近期走势与 MOG.B 最接近的股票,按相似度排序。
MOG.B 季节性分析
Historically the probability of a positive October return for MOG.B is 100.00%. September offers the highest probability of a positive month at 100.00%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
MOG.B 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $159.53 | $181.05 | $181.56 | -48.30% |
| Nov 2026 | $189.62 | $220.18 | $231.02 | -37.12% |
| Dec 2026 | $135.82 | $176.80 | $218.77 | -49.51% |
2026 年,Moog Inc(MOG.B)预计区间为 $135.82 至 $231.02。
Moog Inc 2026 年月度预测
2026 年 Oct,Moog Inc 预计均价 $181.05,最低 $159.53,最高 $181.56。
2026 年 Nov,Moog Inc 预计均价 $220.18,最低 $189.62,最高 $231.02。
2026 年 Dec,Moog Inc 预计均价 $176.80,最低 $135.82,最高 $218.77。
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。