$18.000
-0.468 (-2.60%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
VTRS 相似图表分析预测
Alphio's VTRS stock price prediction model matches the current Viatris Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $18.33 (+0.23%). The 1-week path is $18.79 (+2.71%). 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 Viatris Inc 股票吗?
Viatris Inc (VTRS) appears to be a good buy right now due to its current price of $18, which is significantly below the analyst price target of $26 from UBS, suggesting a potential upside of 44.4%. Additionally, the forward P/E ratio of 6.38 indicates that the stock is undervalued compared to its earnings potential. However, a key risk is the recent increase in hedge fund selling by 247.32%, which could indicate bearish sentiment among institutional investors.
VTRS 股价于 Friday 收于 $18.00,此前下跌 -2.60%
Viatris Inc (VTRS) last closed at $18.2900009, gaining +1.61%. These facts feed the 1-day and 1-week VTRS price prediction above.
预测驱动因素
Viatris Inc(VTRS)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 VTRS 最接近的股票,按相似度排序。
VTRS 季节性分析
Historically the probability of a positive October return for VTRS is 64.06%. February offers the highest probability of a positive month at 67.24%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
VTRS 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $7.25 | $8.82 | $9.77 | -51.80% |
| Nov 2026 | $9.24 | $9.28 | $11.25 | -49.25% |
| Dec 2026 | $7.20 | $8.92 | $10.07 | -51.21% |
2026 年,Viatris Inc(VTRS)预计区间为 $7.20 至 $11.25。
Viatris Inc 2026 年月度预测
2026 年 Oct,Viatris Inc 预计均价 $8.82,最低 $7.25,最高 $9.77。
2026 年 Nov,Viatris Inc 预计均价 $9.28,最低 $9.24,最高 $11.25。
2026 年 Dec,Viatris Inc 预计均价 $8.92,最低 $7.20,最高 $10.07。
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。