$17.500
-0.362 (-2.07%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
OSPN 相似圖表分析預測
Alphio's OSPN stock price prediction model matches the current OneSpan Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $17.62 (+0.66%). The 1-week path is $17.55 (+0.26%). 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 OneSpan Inc 股票嗎?
OneSpan Inc (OSPN) is a good buy right now due to its current price of $17.50, which is below the analyst price target of $18. Additionally, the company reported a strong Q2 2026 with a 11% increase in subscription revenue and an adjusted EBITDA margin of 28%, indicating robust profitability. The main risk is the RSI at 39.446, suggesting the stock is nearing oversold territory, which could lead to further price declines in the short term.
OSPN 股價於 Friday 收在 $17.50,此前下跌 -2.07%
OneSpan Inc (OSPN) last closed at $17.5, losing -2.07%. These facts feed the 1-day and 1-week OSPN price prediction above.
預測驅動因素
OneSpan Inc(OSPN)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
Bullish
相似圖表形態
近期走勢與 OSPN 最接近的股票,依相似度排序。
OSPN 季節性分析
Historically the probability of a positive October return for OSPN is 60.34%. August offers the highest probability of a positive month at 67.19%, while March is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
OSPN 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $14.12 | $16.01 | $17.54 | -8.49% |
| Nov 2026 | $13.12 | $13.26 | $15.83 | -24.23% |
| Dec 2026 | $12.48 | $15.17 | $16.66 | -13.34% |
2026 年,OneSpan Inc(OSPN)預計區間為 $12.48 至 $17.54。
OneSpan Inc 2026 年月度預測
2026 年 Oct,OneSpan Inc 預計均價 $16.01,最低 $14.12,最高 $17.54。
2026 年 Nov,OneSpan Inc 預計均價 $13.26,最低 $13.12,最高 $15.83。
2026 年 Dec,OneSpan Inc 預計均價 $15.17,最低 $12.48,最高 $16.66。
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。