$6.095
+0.066 (+1.08%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
BULL 相似图表分析预测
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 $5.91 (+0.05%). The 1-week path is $6.15 (+4.05%). 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 Webull Corp 股票吗?
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 股价于 Wednesday 收于 $6.10,此前上涨 +1.08%
Webull Corp (BULL) last closed at $5.91, losing -3.04%. These facts feed the 1-day and 1-week BULL price prediction above.
预测驱动因素
Webull Corp(BULL)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
Bullish
SMA 20
Bearish
SMA 200
Bearish
相似图表形态
近期走势与 BULL 最接近的股票,按相似度排序。
BULL 季节性分析
Historically the probability of a positive October return for BULL is 53.23%. 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 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $16.93 | $18.50 | $20.16 | +213.11% |
| Nov 2026 | $14.68 | $16.93 | $19.78 | +186.44% |
| Dec 2026 | $17.09 | $17.56 | $20.90 | +197.17% |
2026 年,Webull Corp(BULL)预计区间为 $14.68 至 $20.90。
Webull Corp 2026 年月度预测
2026 年 Oct,Webull Corp 预计均价 $18.50,最低 $16.93,最高 $20.16。
2026 年 Nov,Webull Corp 预计均价 $16.93,最低 $14.68,最高 $19.78。
2026 年 Dec,Webull Corp 预计均价 $17.56,最低 $17.09,最高 $20.90。
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。