$10.670
+1.128 (+10.57%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
PHAR 相似圖表分析預測
Alphio's PHAR stock price prediction model matches the current Pharming Group NV tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $11.04 (+3.51%). The 1-week path is $11.66 (+9.32%). 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 Pharming Group NV 股票嗎?
Pharming Group NV is not a good buy right now due to its current price of $9.36, which is significantly below the analyst price target range of $37 to $40. Additionally, the stock has a high forward P/E ratio of 212.77, indicating overvaluation concerns. The RSI is at 30.07, suggesting the stock is oversold, but this could indicate further downside risk rather than an immediate buying opportunity.
PHAR 股價於 Thursday 收在 $10.67,此前上漲 +10.57%
Pharming Group NV (PHAR) last closed at $10.67, gaining +10.57%. These facts feed the 1-day and 1-week PHAR price prediction above.
預測驅動因素
Pharming Group NV(PHAR)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
Bullish
SMA 200
Bearish
相似圖表形態
近期走勢與 PHAR 最接近的股票,依相似度排序。
PHAR 季節性分析
Historically the probability of a positive October return for PHAR is 36.51%. January offers the highest probability of a positive month at 59.02%, while March is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
PHAR 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $10.21 | $10.37 | $13.00 | -2.85% |
| Nov 2026 | $11.69 | $11.94 | $11.95 | +11.86% |
| Dec 2026 | $9.43 | $10.15 | $11.40 | -4.90% |
2026 年,Pharming Group NV(PHAR)預計區間為 $9.43 至 $13.00。
Pharming Group NV 2026 年月度預測
2026 年 Oct,Pharming Group NV 預計均價 $10.37,最低 $10.21,最高 $13.00。
2026 年 Nov,Pharming Group NV 預計均價 $11.94,最低 $11.69,最高 $11.95。
2026 年 Dec,Pharming Group NV 預計均價 $10.15,最低 $9.43,最高 $11.40。
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。