$0.815
+0.153 (+18.72%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
FMST 相似图表分析预测
Alphio's FMST stock price prediction model matches the current Foremost Clean Energy Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.81 (-0.18%). The 1-week path is $0.82 (+1.01%). 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 Foremost Clean Energy Ltd 股票吗?
Foremost Clean Energy Ltd (FMST) appears to be a good buy right now, primarily due to its recent price surge of +40.30% over the last five days and a current RSI of 78.788, indicating strong momentum. The stock is currently trading at $0.81, significantly below its 52-week high of $3.49, suggesting substantial upside potential. However, the company has reported a negative net income of -2,732,038 CAD for Q4 2026, which poses a risk to its financial stability.
FMST 股价于 Friday 收于 $0.82,此前上涨 +18.72%
Foremost Clean Energy Ltd (FMST) last closed at $0.815, gaining +18.72%. These facts feed the 1-day and 1-week FMST price prediction above.
预测驱动因素
Foremost Clean Energy Ltd(FMST)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 FMST 最接近的股票,按相似度排序。
FMST 季节性分析
Historically the probability of a positive November return for FMST is 43.18%. July offers the highest probability of a positive month at 66.67%, while March is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
FMST 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Nov 2026 | $2.00 | $2.16 | $2.57 | +165.01% |
| Dec 2026 | $1.69 | $2.16 | $2.42 | +165.01% |
2026 年,Foremost Clean Energy Ltd(FMST)预计区间为 $1.69 至 $2.57。
Foremost Clean Energy Ltd 2026 年月度预测
2026 年 Nov,Foremost Clean Energy Ltd 预计均价 $2.16,最低 $2.00,最高 $2.57。
2026 年 Dec,Foremost Clean Energy Ltd 预计均价 $2.16,最低 $1.69,最高 $2.42。
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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。