$6.070
-0.217 (-3.57%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
BULL 相似圖表分析預測
Alphio's BULL stock price prediction model matches the current Webull Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $6.07 (+0.05%). The 1-week path is $6.00 (-1.22%). 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 Webull Corp 股票嗎?
Webull Corp is not a good buy right now due to significant regulatory concerns and a recent class action lawsuit. The current price of $6.07 is well below the analyst price targets of $12 and $9, indicating potential upside, but the stock has dropped 19% recently amid fears related to its ties to China. The RSI is at 32.96, suggesting the stock is oversold, but the negative sentiment and ongoing legal challenges present substantial risks.
BULL 股價於 Friday 收在 $6.07,此前下跌 -3.57%
Webull Corp (BULL) last closed at $6.07, losing -3.57%. These facts feed the 1-day and 1-week BULL price prediction above.
預測驅動因素
Webull Corp(BULL)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
Bullish
SMA 20
Bearish
SMA 200
Bearish
相似圖表形態
近期走勢與 BULL 最接近的股票,依相似度排序。
BULL 季節性分析
Historically the probability of a positive October return for BULL is 56.90%. September offers the highest probability of a positive month at 85.48%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
BULL 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Oct 2026 | $16.93 | $18.50 | $20.16 | +204.85% |
| Nov 2026 | $14.68 | $16.93 | $19.78 | +178.89% |
| Dec 2026 | $17.09 | $17.56 | $20.90 | +189.34% |
2026 年,Webull Corp(BULL)預計區間為 $14.68 至 $20.90。
Webull Corp 2026 年月度預測
2026 年 Oct,Webull Corp 預計均價 $18.50,最低 $16.93,最高 $20.16。
2026 年 Nov,Webull Corp 預計均價 $16.93,最低 $14.68,最高 $19.78。
2026 年 Dec,Webull Corp 預計均價 $17.56,最低 $17.09,最高 $20.90。
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。