$10.630
+0.010 (+0.09%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
GSHR 相似图表分析预测
Alphio's GSHR stock price prediction model matches the current Gesher Acquisition II Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $10.56 (-0.65%). The 1-week path is $10.21 (-3.95%). 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 Gesher Acquisition II Corp 股票吗?
Gesher Acquisition II Corp (GSHR) is currently trading at $10.62, which is at the 52-week high, indicating limited upside potential. The RSI is at 77.094, suggesting that the stock is overbought. While the forward P/E is 0, indicating no earnings growth expectations, the stock has shown a 1-year change of +4.22%. The main risk is the high P/E ratio of 54.76, which suggests that the stock may be overvalued compared to its earnings.
GSHR 股价于 Wednesday 收于 $10.63,此前上涨 +0.09%
Gesher Acquisition II Corp (GSHR) last closed at $10.6300001, gaining +0.09%. These facts feed the 1-day and 1-week GSHR price prediction above.
预测驱动因素
Gesher Acquisition II Corp(GSHR)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
Bearish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
相似图表形态
近期走势与 GSHR 最接近的股票,按相似度排序。
GSHR 季节性分析
Historically the probability of a positive November return for GSHR is 100.00%. February offers the highest probability of a positive month at 100.00%, while January is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
GSHR 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Nov 2026 | $8.02 | $9.04 | $9.42 | -14.95% |
| Dec 2026 | $10.44 | $11.17 | $12.00 | +5.04% |
2026 年,Gesher Acquisition II Corp(GSHR)预计区间为 $8.02 至 $12.00。
Gesher Acquisition II Corp 2026 年月度预测
2026 年 Nov,Gesher Acquisition II Corp 预计均价 $9.04,最低 $8.02,最高 $9.42。
2026 年 Dec,Gesher Acquisition II Corp 预计均价 $11.17,最低 $10.44,最高 $12.00。
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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。