$0.616
+0.005 (+0.85%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
LAB 相似圖表分析預測
Alphio's LAB stock price prediction model matches the current Standard BioTools Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $0.62 (+1.01%). The 1-week path is $0.64 (+4.62%). 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.
該買進 Standard BioTools Inc 股票嗎?
Standard BioTools Inc (LAB) appears to be a good buy right now, primarily due to its current price of 0.6099, which is near its 52-week low of 0.59, indicating a potential for recovery. Additionally, the stock has a forward P/E ratio of 0, suggesting that it may be undervalued compared to its earnings potential. The recent merger with Treeline Biosciences is expected to enhance financial stability, providing over $900 million in cash to fund operations into 2029, which is a strong positive catalyst.
LAB 股價於 Wednesday 收在 $0.62,此前上漲 +0.85%
Standard BioTools Inc (LAB) last closed at $0.616, gaining +0.85%. These facts feed the 1-day and 1-week LAB price prediction above.
預測驅動因素
Standard BioTools Inc(LAB)的預測驅動因素綜合了相似的圖表形態、季節性與移動平均線。
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
相似圖表形態
近期走勢與 LAB 最接近的股票,依相似度排序。
LAB 季節性分析
Historically the probability of a positive November return for LAB is 4.76%. January offers the highest probability of a positive month at 63.93%, while August is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
LAB 十年價格預測
| 月份 | 最低價 | 平均價 | 最高價 | 潛在報酬率 |
|---|---|---|---|---|
| Nov 2026 | $1.46 | $1.72 | $2.08 | +178.55% |
| Dec 2026 | $1.02 | $1.46 | $1.51 | +136.73% |
2026 年,Standard BioTools Inc(LAB)預計區間為 $1.02 至 $2.08。
Standard BioTools Inc 2026 年月度預測
2026 年 Nov,Standard BioTools Inc 預計均價 $1.72,最低 $1.46,最高 $2.08。
2026 年 Dec,Standard BioTools Inc 預計均價 $1.46,最低 $1.02,最高 $1.51。
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本頁僅供研究參考,不構成投資建議。模型可能出錯。過往表現不代表未來結果。