$10.630
+0.010 (+0.09%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
GSHR 相似圖表分析預測
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.
該買進 Gesher Acquisition II Corp 股票嗎?
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 股價於 Wednesday 收在 $10.63,此前上漲 +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.
預測驅動因素
Gesher Acquisition II Corp(GSHR)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
Bearish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
相似圖表形態
近期走勢與 GSHR 最接近的股票,依相似度排序。
GSHR 季節性分析
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 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| 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)預計區間為 $8.02 至 $12.00。
Gesher Acquisition II Corp 2026 年月度預測
2026 年 Nov,Gesher Acquisition II Corp 預計均價 $9.04,最低 $8.02,最高 $9.42。
2026 年 Dec,Gesher Acquisition II Corp 預計均價 $11.17,最低 $10.44,最高 $12.00。
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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。