$20.560
+0.142 (+0.69%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
MTUS 相似圖表分析預測
Alphio's MTUS stock price prediction model matches the current Metallus Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $20.48 (-0.41%). The 1-week path is $21.46 (+4.39%). 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 Metallus Inc 股票嗎?
Metallus Inc is a good buy right now due to its current price of $20.56, a strong RSI of 60.912 indicating upward momentum, and a significant year-to-date change of +15.57%. The company has shown consistent revenue growth, with Q2 2026 revenues of $341 million and a net income of $8.9 million, reflecting a solid financial position. The main risk is its high P/E ratio of 104.49, which may indicate overvaluation if growth does not meet expectations.
MTUS 股價於 Friday 收在 $20.56,此前上漲 +0.69%
Metallus Inc (MTUS) last closed at $20.56, gaining +0.69%. These facts feed the 1-day and 1-week MTUS price prediction above.
預測驅動因素
Metallus Inc(MTUS)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 MTUS 最接近的股票,依相似度排序。
MTUS 季節性分析
Historically the probability of a positive October return for MTUS is 60.34%. June offers the highest probability of a positive month at 68.33%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
MTUS 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $7.91 | $9.36 | $12.03 | -54.49% |
| Nov 2026 | $8.75 | $10.25 | $11.97 | -50.14% |
| Dec 2026 | $9.11 | $9.58 | $11.07 | -53.42% |
2026 年,Metallus Inc(MTUS)預計區間為 $7.91 至 $12.03。
Metallus Inc 2026 年月度預測
2026 年 Oct,Metallus Inc 預計均價 $9.36,最低 $7.91,最高 $12.03。
2026 年 Nov,Metallus Inc 預計均價 $10.25,最低 $8.75,最高 $11.97。
2026 年 Dec,Metallus Inc 預計均價 $9.58,最低 $9.11,最高 $11.07。
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。