$142.170
-5.744 (-4.04%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
VSEC 相似圖表分析預測
Alphio's VSEC stock price prediction model matches the current VSE Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $141.20 (-0.68%). The 1-week path is $140.12 (-1.44%). 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 VSE Corp 股票嗎?
VSE Corp (VSEC) is not a strong buy right now due to its current price of $142.17 and an RSI of 14.943, indicating it is oversold. Although the company reported a significant revenue growth of 65% year-over-year in Q2 2026, the stock has seen a 21.59% decline year-to-date, which raises concerns about its short-term performance. The main risk is the high forward P/E ratio of 23.0947, suggesting that the stock may be overvalued given its recent performance.
VSEC 股價於 Friday 收在 $142.17,此前下跌 -4.04%
VSE Corp (VSEC) last closed at $142.17, losing -4.04%. These facts feed the 1-day and 1-week VSEC price prediction above.
預測驅動因素
VSE Corp(VSEC)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 VSEC 最接近的股票,依相似度排序。
VSEC 季節性分析
Historically the probability of a positive October return for VSEC is 71.88%. July offers the highest probability of a positive month at 100.00%, while January is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
VSEC 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $128.36 | $148.78 | $171.23 | +4.65% |
| Nov 2026 | $109.04 | $135.03 | $149.86 | -5.02% |
| Dec 2026 | $150.85 | $161.35 | $162.38 | +13.49% |
2026 年,VSE Corp(VSEC)預計區間為 $109.04 至 $171.23。
VSE Corp 2026 年月度預測
2026 年 Oct,VSE Corp 預計均價 $148.78,最低 $128.36,最高 $171.23。
2026 年 Nov,VSE Corp 預計均價 $135.03,最低 $109.04,最高 $149.86。
2026 年 Dec,VSE Corp 預計均價 $161.35,最低 $150.85,最高 $162.38。
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。