$1.500
-0.039 (-2.60%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
EVO 相似圖表分析預測
Alphio's EVO stock price prediction model matches the current Evotec SE tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.50 (+0.28%). The 1-week path is $1.50 (-0.25%). 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 Evotec SE 股票嗎?
Evotec SE is not a good buy right now due to its significant financial challenges and negative analyst sentiment. The current price is $1.50, which is well below the lowest analyst price target of $2.40. Additionally, the company has reported a staggering year-to-date change of -52.83% and a one-year change of -63.59%, indicating severe underperformance. The main risk is the negative earnings trend, with a forward P/E of 19.61 suggesting potential overvaluation given the current financial instability.
EVO 股價於 Friday 收在 $1.50,此前下跌 -2.60%
Evotec SE (EVO) last closed at $1.5, losing -2.60%. These facts feed the 1-day and 1-week EVO price prediction above.
預測驅動因素
Evotec SE(EVO)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 EVO 最接近的股票,依相似度排序。
EVO 季節性分析
Historically the probability of a positive October return for EVO is 0.00%. February offers the highest probability of a positive month at 63.79%, while August is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
EVO 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $3.21 | $3.44 | $4.21 | +129.51% |
| Nov 2026 | $4.02 | $4.44 | $5.21 | +195.68% |
| Dec 2026 | $3.63 | $3.87 | $4.87 | +157.95% |
2026 年,Evotec SE(EVO)預計區間為 $3.21 至 $5.21。
Evotec SE 2026 年月度預測
2026 年 Oct,Evotec SE 預計均價 $3.44,最低 $3.21,最高 $4.21。
2026 年 Nov,Evotec SE 預計均價 $4.44,最低 $4.02,最高 $5.21。
2026 年 Dec,Evotec SE 預計均價 $3.87,最低 $3.63,最高 $4.87。
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。