$0.838
+0.032 (+3.87%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
EPSM 相似图表分析预测
Alphio's EPSM stock price prediction model matches the current Epsium Enterprise Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.83 (-1.52%). The 1-week path is $0.81 (-3.19%). 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 Epsium Enterprise Ltd 股票吗?
Epsium Enterprise Limited is currently not a strong buy due to its declining performance metrics and negative financial outlook. The stock has a current price of $0.84, with a year-to-date change of -59.90% and a one-year change of -85.45%. The RSI is at 35.477, indicating it is approaching oversold territory but not yet a clear buy signal. The main risk is the projected net loss of approximately $(1.5) million for FY 2025, which reflects ongoing financial challenges.
EPSM 股价于 Friday 收于 $0.84,此前上涨 +3.87%
Epsium Enterprise Ltd (EPSM) last closed at $0.838, gaining +3.87%. These facts feed the 1-day and 1-week EPSM price prediction above.
预测驱动因素
Epsium Enterprise Ltd(EPSM)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 EPSM 最接近的股票,按相似度排序。
EPSM 季节性分析
Historically the probability of a positive November return for EPSM is 25.00%. January offers the highest probability of a positive month at 85.00%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
EPSM 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Nov 2026 | $17.33 | $19.29 | $21.93 | +2202.23% |
| Dec 2026 | $22.03 | $22.11 | $23.73 | +2538.34% |
2026 年,Epsium Enterprise Ltd(EPSM)预计区间为 $17.33 至 $23.73。
Epsium Enterprise Ltd 2026 年月度预测
2026 年 Nov,Epsium Enterprise Ltd 预计均价 $19.29,最低 $17.33,最高 $21.93。
2026 年 Dec,Epsium Enterprise Ltd 预计均价 $22.11,最低 $22.03,最高 $23.73。
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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。