$3.540
-0.010 (-0.28%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
EPOW 相似圖表分析預測
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.
該買進 E-Power Inc 股票嗎?
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 股價於 Friday 收在 $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.
預測驅動因素
E-Power Inc(EPOW)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 EPOW 最接近的股票,依相似度排序。
EPOW 季節性分析
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 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| 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)預計區間為 $0.68 至 $1.03。
E-Power Inc 2026 年月度預測
2026 年 Nov,E-Power Inc 預計均價 $0.82,最低 $0.68,最高 $0.89。
2026 年 Dec,E-Power Inc 預計均價 $0.97,最低 $0.92,最高 $1.03。
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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。