$3.540
-0.010 (-0.28%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
EPOW 相似图表分析预测
Alphio's EPOW stock price prediction model matches the current E-Power Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $3.53 (-0.25%). The 1-week path is $3.67 (+3.72%). 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 E-Power Inc 股票吗?
Given the current price of $3.54 and an RSI of 35.776, which indicates the asset is oversold, it may seem attractive. However, the significant year-to-date decline of 85.98% and a forward P/E ratio of 0 suggest that the company is struggling financially. Additionally, the company has received a Nasdaq compliance notice due to its share price being below $1.00, which poses a risk of delisting. Therefore, despite some potential upside based on historical patterns projecting a +428.99% change, the immediate risks outweigh the potential rewards, making this a sell.
EPOW 股价于 Friday 收于 $3.54,此前下跌 -0.28%
E-Power Inc (EPOW) last closed at $3.54, losing -0.28%. These facts feed the 1-day and 1-week EPOW price prediction above.
预测驱动因素
E-Power Inc(EPOW)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 EPOW 最接近的股票,按相似度排序。
EPOW 季节性分析
Historically the probability of a positive November return for EPOW is 43.18%. December offers the highest probability of a positive month at 48.84%, while January is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
EPOW 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Nov 2026 | $0.68 | $0.82 | $0.89 | -76.92% |
| Dec 2026 | $0.92 | $0.97 | $1.03 | -72.63% |
2026 年,E-Power Inc(EPOW)预计区间为 $0.68 至 $1.03。
E-Power Inc 2026 年月度预测
2026 年 Nov,E-Power Inc 预计均价 $0.82,最低 $0.68,最高 $0.89。
2026 年 Dec,E-Power Inc 预计均价 $0.97,最低 $0.92,最高 $1.03。
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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。