$34.370
+1.265 (+3.68%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
CSTL 相似图表分析预测
Alphio's CSTL stock price prediction model matches the current Castle Biosciences Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $32.96 (-4.11%). The 1-week path is $33.66 (-2.08%). 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 Castle Biosciences Inc 股票吗?
Castle Biosciences Inc (CSTL) is currently not a strong buy due to its low RSI of 32.804 indicating oversold conditions, but it has a positive revenue growth outlook with Q2 2026 revenue reported at $103.5 million, a 20% increase year-over-year. The main risk is its negative net income of $2.1 million in Q2 2026, which raises concerns about profitability.
CSTL 股价于 Wednesday 收于 $34.37,此前上涨 +3.68%
Castle Biosciences Inc (CSTL) last closed at $34.37, gaining +3.68%. These facts feed the 1-day and 1-week CSTL price prediction above.
预测驱动因素
Castle Biosciences Inc(CSTL)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
Bullish
SMA 200
Bullish
相似图表形态
近期走势与 CSTL 最接近的股票,按相似度排序。
CSTL 季节性分析
Historically the probability of a positive October return for CSTL is 37.10%. December offers the highest probability of a positive month at 100.00%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
CSTL 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Oct 2026 | $19.10 | $20.00 | $20.37 | -41.80% |
| Nov 2026 | $19.65 | $20.03 | $23.69 | -41.73% |
| Dec 2026 | $12.86 | $16.23 | $18.34 | -52.79% |
2026 年,Castle Biosciences Inc(CSTL)预计区间为 $12.86 至 $23.69。
Castle Biosciences Inc 2026 年月度预测
2026 年 Oct,Castle Biosciences Inc 预计均价 $20.00,最低 $19.10,最高 $20.37。
2026 年 Nov,Castle Biosciences Inc 预计均价 $20.03,最低 $19.65,最高 $23.69。
2026 年 Dec,Castle Biosciences Inc 预计均价 $16.23,最低 $12.86,最高 $18.34。
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。