$1.500
-0.039 (-2.60%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
EVO 相似图表分析预测
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.
该买入 Evotec SE 股票吗?
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 股价于 Friday 收于 $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.
预测驱动因素
Evotec SE(EVO)的预测驱动因素综合了相似的图表形态、季节性与移动平均线。
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
相似图表形态
近期走势与 EVO 最接近的股票,按相似度排序。
EVO 季节性分析
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 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| 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)预计区间为 $3.21 至 $5.21。
Evotec SE 2026 年月度预测
2026 年 Oct,Evotec SE 预计均价 $3.44,最低 $3.21,最高 $4.21。
2026 年 Nov,Evotec SE 预计均价 $4.44,最低 $4.02,最高 $5.21。
2026 年 Dec,Evotec SE 预计均价 $3.87,最低 $3.63,最高 $4.87。
本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。