$10.770
+0.277 (+2.57%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
HAFN 相似圖表分析預測
Alphio's HAFN stock price prediction model matches the current Hafnia Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $10.58 (-0.30%). The 1-week path is $11.02 (+3.89%). 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 Hafnia Ltd 股票嗎?
Hafnia Ltd is a good buy right now due to its strong financial performance, highlighted by a record net profit of $277.8 million in Q2 2026, which represents a 269% year-over-year increase. Additionally, the current price of $10.5 is below the analyst price target of $12, suggesting potential upside. The RSI is at 58.048, indicating bullish momentum, while the forward P/E ratio of 12.1212 suggests the stock is reasonably valued compared to its earnings growth.
HAFN 股價於 Monday 收在 $10.77,此前上漲 +2.57%
Hafnia Ltd (HAFN) last closed at $10.6099997, losing -1.49%. These facts feed the 1-day and 1-week HAFN price prediction above.
預測驅動因素
Hafnia Ltd(HAFN)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
Bullish
SMA 200
Bullish
相似圖表形態
近期走勢與 HAFN 最接近的股票,依相似度排序。
HAFN 季節性分析
Historically the probability of a positive October return for HAFN is 63.08%. September offers the highest probability of a positive month at 67.74%, while December is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
HAFN 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $4.53 | $4.64 | $5.36 | -56.28% |
| Nov 2026 | $3.12 | $3.84 | $4.56 | -63.83% |
| Dec 2026 | $4.63 | $4.84 | $5.34 | -54.39% |
2026 年,Hafnia Ltd(HAFN)預計區間為 $3.12 至 $5.36。
Hafnia Ltd 2026 年月度預測
2026 年 Oct,Hafnia Ltd 預計均價 $4.64,最低 $4.53,最高 $5.36。
2026 年 Nov,Hafnia Ltd 預計均價 $3.84,最低 $3.12,最高 $4.56。
2026 年 Dec,Hafnia Ltd 預計均價 $4.84,最低 $4.63,最高 $5.34。
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。