$21.130
+0.778 (+3.68%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
MTUS 相似图表分析预测
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 $21.59 (+2.19%). The 1-week path is $20.95 (-0.87%). 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 Metallus Inc 股票吗?
Metallus Inc is a good buy right now due to its current price of 20.41, a forward P/E of 14.245, and a recent 20-day price change of +8.33%. The company has shown strong revenue growth with Q2 2026 net sales of $341 million and a net income of $8.9 million, indicating improving profitability. However, the main risk is the high P/E ratio of 102.91, which suggests that the stock may be overvalued if growth does not continue as expected.
MTUS 股价于 Tuesday 收于 $21.13,此前上涨 +3.68%
Metallus Inc (MTUS) last closed at $21.1299992, gaining +3.68%. These facts feed the 1-day and 1-week MTUS price prediction above.
预测驱动因素
Metallus Inc(MTUS)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
Bearish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
相似图表形态
近期走势与 MTUS 最接近的股票,按相似度排序。
MTUS 季节性分析
Historically the probability of a positive October return for MTUS is 65.15%. 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 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $7.91 | $9.36 | $12.03 | -55.71% |
| Nov 2026 | $8.75 | $10.25 | $11.97 | -51.49% |
| Dec 2026 | $9.11 | $9.58 | $11.07 | -54.68% |
2026 年,Metallus Inc(MTUS)预计区间为 $7.91 至 $12.03。
Metallus Inc 2026 年月度预测
2026 年 Oct,Metallus Inc 预计均价 $9.36,最低 $7.91,最高 $12.03。
2026 年 Nov,Metallus Inc 预计均价 $10.25,最低 $8.75,最高 $11.97。
2026 年 Dec,Metallus Inc 预计均价 $9.58,最低 $9.11,最高 $11.07。
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。