$335.160
0.000 (0.00%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
MOG.B 相似圖表分析預測
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 $332.81 (-0.70%). The 1-week path is $331.64 (-1.05%). 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 Moog Inc 股票嗎?
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 股價於 Friday 收在 $335.16,此前上漲 0.00%
Moog Inc (MOG.B) last closed at $335.16, gaining +0.00%. These facts feed the 1-day and 1-week MOG.B price prediction above.
預測驅動因素
Moog Inc(MOG.B)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
Bearish
SMA 200
Bearish
相似圖表形態
近期走勢與 MOG.B 最接近的股票,依相似度排序。
MOG.B 季節性分析
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 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $159.53 | $181.05 | $181.56 | -45.98% |
| Nov 2026 | $189.62 | $220.18 | $231.02 | -34.30% |
| Dec 2026 | $135.82 | $176.80 | $218.77 | -47.25% |
2026 年,Moog Inc(MOG.B)預計區間為 $135.82 至 $231.02。
Moog Inc 2026 年月度預測
2026 年 Oct,Moog Inc 預計均價 $181.05,最低 $159.53,最高 $181.56。
2026 年 Nov,Moog Inc 預計均價 $220.18,最低 $189.62,最高 $231.02。
2026 年 Dec,Moog Inc 預計均價 $176.80,最低 $135.82,最高 $218.77。
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。