$38.220
-1.368 (-3.58%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
UVV 相似圖表分析預測
Alphio's UVV stock price prediction model matches the current Universal Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $37.91 (-0.81%). The 1-week path is $37.18 (-2.73%). 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 Universal Corp 股票嗎?
Universal Corp (UVV) is not a strong buy at this moment. The current price is 40.67, which is below its 200-day SMA of 51.054, indicating a bearish trend. The RSI is at 26.929, suggesting the stock is oversold, but it also reflects weak momentum. The forward P/E ratio of 11.976 is attractive for long-term investors, yet the recent earnings report showed a significant EPS miss with reported earnings of -0.18, which is a risk factor.
UVV 股價於 Wednesday 收在 $38.22,此前下跌 -3.58%
Universal Corp (UVV) last closed at $38.22, losing -3.58%. These facts feed the 1-day and 1-week UVV price prediction above.
預測驅動因素
Universal Corp(UVV)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
Bearish
SMA 20
Bearish
SMA 200
Bearish
相似圖表形態
近期走勢與 UVV 最接近的股票,依相似度排序。
UVV 季節性分析
Historically the probability of a positive October return for UVV is 6.56%. June offers the highest probability of a positive month at 63.33%, while December is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
UVV 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $35.15 | $48.61 | $53.67 | +27.20% |
| Nov 2026 | $62.65 | $65.77 | $75.49 | +72.09% |
| Dec 2026 | $34.22 | $48.61 | $56.40 | +27.20% |
2026 年,Universal Corp(UVV)預計區間為 $34.22 至 $75.49。
Universal Corp 2026 年月度預測
2026 年 Oct,Universal Corp 預計均價 $48.61,最低 $35.15,最高 $53.67。
2026 年 Nov,Universal Corp 預計均價 $65.77,最低 $62.65,最高 $75.49。
2026 年 Dec,Universal Corp 預計均價 $48.61,最低 $34.22,最高 $56.40。
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。