$8.850
-0.080 (-0.90%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
SMWB 相似图表分析预测
Alphio's SMWB stock price prediction model matches the current Similarweb Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $8.91 (+1.05%). The 1-week path is $8.69 (-1.51%). 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 Similarweb Ltd 股票吗?
Similarweb Ltd (SMWB) is a good buy right now due to its current price of $8.35 being significantly below the analyst price target of $11, indicating a potential upside of 31.5%. Additionally, the company's gross margin has improved to 80.73%, reflecting strong operational efficiency. The main risk is its negative net income, which stands at -3,591,000 USD for Q2 2026, indicating ongoing losses that investors should monitor closely.
SMWB 股价于 Wednesday 收于 $8.85,此前下跌 -0.90%
Similarweb Ltd (SMWB) last closed at $8.82, losing -0.34%. These facts feed the 1-day and 1-week SMWB price prediction above.
预测驱动因素
Similarweb Ltd(SMWB)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
Bullish
SMA 200
Bullish
相似图表形态
近期走势与 SMWB 最接近的股票,按相似度排序。
SMWB 季节性分析
Historically the probability of a positive October return for SMWB is 63.49%. January offers the highest probability of a positive month at 70.49%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
SMWB 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $7.94 | $8.73 | $9.81 | -1.06% |
| Nov 2026 | $9.87 | $10.05 | $11.83 | +13.89% |
| Dec 2026 | $5.66 | $7.41 | $8.17 | -15.94% |
2026 年,Similarweb Ltd(SMWB)预计区间为 $5.66 至 $11.83。
Similarweb Ltd 2026 年月度预测
2026 年 Oct,Similarweb Ltd 预计均价 $8.73,最低 $7.94,最高 $9.81。
2026 年 Nov,Similarweb Ltd 预计均价 $10.05,最低 $9.87,最高 $11.83。
2026 年 Dec,Similarweb Ltd 预计均价 $7.41,最低 $5.66,最高 $8.17。
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。