$21.490
+0.449 (+2.09%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
BDSX 相似图表分析预测
Alphio's BDSX stock price prediction model matches the current Biodesix Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $21.48 (-0.04%). The 1-week path is $21.34 (-0.70%). 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 Biodesix Inc 股票吗?
Biodesix Inc is a good buy right now due to its current price of $21.78 being significantly lower than the analyst price target of $38, suggesting a potential upside of 74.5%. Additionally, the company has shown impressive revenue growth, with a 34% increase in Q2 revenue, bringing it to $26.9 million, which supports its long-term growth narrative. However, a key risk is the high insider selling activity, which has increased by 531.80% over the last month, indicating potential concerns among insiders about the company's future performance.
BDSX 股价于 Wednesday 收于 $21.49,此前上涨 +2.09%
Biodesix Inc (BDSX) last closed at $21.4899998, gaining +2.09%. These facts feed the 1-day and 1-week BDSX price prediction above.
预测驱动因素
Biodesix Inc(BDSX)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
Bullish
相似图表形态
近期走势与 BDSX 最接近的股票,按相似度排序。
BDSX 季节性分析
Historically the probability of a positive November return for BDSX is 9.30%. January offers the highest probability of a positive month at 57.38%, while December is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
BDSX 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Nov 2026 | $0.43 | $0.44 | $0.47 | -97.97% |
| Dec 2026 | $0.43 | $0.50 | $0.55 | -97.69% |
2026 年,Biodesix Inc(BDSX)预计区间为 $0.43 至 $0.55。
Biodesix Inc 2026 年月度预测
2026 年 Nov,Biodesix Inc 预计均价 $0.44,最低 $0.43,最高 $0.47。
2026 年 Dec,Biodesix Inc 预计均价 $0.50,最低 $0.43,最高 $0.55。
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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。