$284.200
0.000 (0.00%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
WSO.B 相似图表分析预测
Alphio's WSO.B stock price prediction model matches the current Watsco Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $283.38 (-0.29%). The 1-week path is $282.07 (-0.75%). 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 Watsco Inc 股票吗?
Watsco Inc is not a good buy right now due to its current price of 284.20, which is significantly below its 200-day simple moving average of 362.98, indicating a bearish trend. Additionally, the stock has a high forward P/E ratio of 21.23, suggesting it may be overvalued compared to its earnings potential. The main risk is the significant decline in price, with a 1-year change of -25.08%, indicating ongoing weakness.
WSO.B 股价于 Friday 收于 $284.20,此前上涨 0.00%
Watsco Inc (WSO.B) last closed at $284.2, gaining +0.00%. These facts feed the 1-day and 1-week WSO.B price prediction above.
预测驱动因素
Watsco Inc(WSO.B)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
Bearish
SMA 20
Bearish
SMA 200
Bearish
相似图表形态
近期走势与 WSO.B 最接近的股票,按相似度排序。
WSO.B 季节性分析
Historically the probability of a positive October return for WSO.B is 36.51%. April offers the highest probability of a positive month at 67.19%, while January is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
WSO.B 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $512.90 | $551.23 | $612.53 | +93.96% |
| Nov 2026 | $401.24 | $414.80 | $477.41 | +45.95% |
| Dec 2026 | $483.01 | $562.40 | $574.67 | +97.89% |
2026 年,Watsco Inc(WSO.B)预计区间为 $401.24 至 $612.53。
Watsco Inc 2026 年月度预测
2026 年 Oct,Watsco Inc 预计均价 $551.23,最低 $512.90,最高 $612.53。
2026 年 Nov,Watsco Inc 预计均价 $414.80,最低 $401.24,最高 $477.41。
2026 年 Dec,Watsco Inc 预计均价 $562.40,最低 $483.01,最高 $574.67。
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。