$1.790
+0.084 (+4.68%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
LGVN 相似图表分析预测
Alphio's LGVN stock price prediction model matches the current Longeveron Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.78 (-0.43%). The 1-week path is $1.80 (+0.63%). 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 Longeveron Inc 股票吗?
Longeveron Inc. is currently not a strong buy due to its ongoing financial struggles and recent trial failures. The stock is trading at $1.79, which is significantly lower than its 52-week high of $12.30, indicating a substantial decline of 85.4%. Additionally, the company reported a gross margin of 66.33% in Q1 2026, but its net income remains deeply negative, with a net margin of -1189.95% in Q1 2026. The recent failure of the ELPIS II trial raises concerns about future growth and financing opportunities, making it a risky investment at this time.
LGVN 股价于 Friday 收于 $1.79,此前上涨 +4.68%
Longeveron Inc (LGVN) last closed at $1.79, gaining +4.68%. These facts feed the 1-day and 1-week LGVN price prediction above.
预测驱动因素
Longeveron Inc(LGVN)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
Bullish
SMA 200
Bearish
相似图表形态
近期走势与 LGVN 最接近的股票,按相似度排序。
LGVN 季节性分析
Historically the probability of a positive November return for LGVN is 0.00%. June offers the highest probability of a positive month at 35.00%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
LGVN 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Nov 2026 | $2.86 | $3.08 | $3.14 | +72.02% |
| Dec 2026 | $3.60 | $3.87 | $4.46 | +115.98% |
2026 年,Longeveron Inc(LGVN)预计区间为 $2.86 至 $4.46。
Longeveron Inc 2026 年月度预测
2026 年 Nov,Longeveron Inc 预计均价 $3.08,最低 $2.86,最高 $3.14。
2026 年 Dec,Longeveron Inc 预计均价 $3.87,最低 $3.60,最高 $4.46。
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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。